diff --git a/spaces/1acneusushi/gradio-2dmoleculeeditor/data/Construct 2 License File Crack What You Need to Know Before Downloading.md b/spaces/1acneusushi/gradio-2dmoleculeeditor/data/Construct 2 License File Crack What You Need to Know Before Downloading.md deleted file mode 100644 index 8ad9169d9cfe729756df85bf0e128dcb46428c20..0000000000000000000000000000000000000000 --- a/spaces/1acneusushi/gradio-2dmoleculeeditor/data/Construct 2 License File Crack What You Need to Know Before Downloading.md +++ /dev/null @@ -1,128 +0,0 @@ -
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How to Crack Construct 2 License File and Enjoy All Features

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If you are a game developer or a hobbyist who wants to create your own games without coding, you might have heard of Construct 2. Construct 2 is a powerful game development tool that lets you create games for various platforms using a simple drag-and-drop interface. However, if you want to access all the features of Construct 2, you need to buy a license that can cost up to $399. That's a lot of money for some people who just want to have fun with game creation. Fortunately, there is a way to crack Construct 2 license file and enjoy all the features for free. In this article, we will show you how to do that, as well as some tips and tricks to use Construct 2 effectively after cracking the license file.

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What is Construct 2 and Why You Need a License

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Construct 2: A Powerful Game Development Tool

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Construct 2 is a game development tool created by Scirra, a company based in the UK. It allows you to create games for various platforms, such as Windows, Mac, Linux, Android, iOS, HTML5, Facebook, and more. You can create games using a simple drag-and-drop interface, where you can add objects, behaviors, events, and actions without writing any code. You can also use plugins and extensions to add more functionality and customization to your games. Construct 2 has a built-in preview mode that lets you test your games instantly on any device.

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The Benefits of Having a License for Construct 2

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While you can download and use Construct 2 for free, there are some limitations that come with the free edition. For example, you can only create up to 100 events per project, you can't use any third-party plugins or extensions, you can't export your games to Android or iOS, and you have to display a splash screen that says "Made with Construct 2" when your games start. If you want to remove these limitations and access all the features of Construct 2, you need to buy a license. There are three types of licenses available:

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As you can see, buying a license for Construct 2 can be quite expensive depending on your needs and goals. That's why some people resort to cracking the license file and enjoying all the features for free.

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How to Crack Construct 2 License File for Free

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The Risks of Cracking Construct 2 License File

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Before we show you how to crack Construct 2 license file, we have to warn you about the risks involved in doing so. First of all, cracking the license file is illegal and unethical. You are violating the terms and conditions of Scirra and depriving them of their rightful income. You are also exposing yourself to potential legal actions from Scirra if they find out that you are using a cracked license file. Secondly, cracking the license file can be dangerous for your computer and your games. You might download a cracked license file that contains malware or viruses that can harm your computer or steal your personal information. You might also encounter errors or bugs in your games that are caused by the cracked license file. Thirdly, cracking the license file can be unfair for other game developers who paid for their licenses legitimately. You are gaining an unfair advantage over them by accessing all the features of Construct 2 without paying anything.

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Therefore, we do not recommend or endorse cracking the license file for Construct 2. We are only providing this information for educational purposes only. If you decide to crack the license file anyway, you are doing so at your own risk and responsibility.

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The Steps to Crack Construct 2 License File

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If you still want to crack Construct 2 license file despite the risks involved, here are the steps that you need to follow:

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Download and Install Construct 2

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The first step is to download and install Construct 2 from the official website: https://www.scirra.com/construct2/releases. You can choose any version that you want, but we recommend using the latest stable release (r277 at the time of writing). Make sure that you install it in a folder that is easy to access (such as C:\Program Files\Construct 2).

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Download a Cracked License File

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The next step is to download a cracked license file from an online source. There are many websites that offer cracked license files for various software applications, including Construct 2. However, not all of them are reliable or safe. Some of them might contain malware or viruses that can harm your computer or steal your personal information. Some of them might also provide outdated or invalid license files that won't work with your version of Construct 2.

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Therefore, you have to be careful when choosing where to download a cracked license file from. We suggest using one of these sources:

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Once you have downloaded a cracked license file from one of these sources (or any other source that you trust), make sure that it has the name "c2license.txt" and save it in a folder that is easy to access (such as C:\Users\YourName\Downloads).

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Copy and Paste the License File to the Construct 2 Folder

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The final step is to copy and paste the cracked license file (c2license.txt) from where you saved it (such as C:\Users\YourName\Downloads) to where you installed Construct 2 (such as C:\Program Files\Construct 2). If there is already an existing c2license.txt file in the Construct 2 folder (which means that you have already used another non-working license before), delete it first before pasting the new one.

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Restart Construct 2 and Enjoy All Features

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Now that you have copied and pasted the cracked license file (c2license.txt) to the Construct 2 folder (such as C:\Program Files\Construct 2), all you have to do is restart Construct 2 and enjoy all its features without any limitations. You should see a message saying "License activated" when you open Construct 2.

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Note:
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How to Use Construct 2 Effectively After Cracking the License File

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Now that you have cracked the license file for Construct 2 and unlocked all its features, you might be wondering how to use it effectively for your game development projects. Here are some of the best features of Construct 2 that you can use after cracking the license file, as well as some tips and tricks to make your games stand out.

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The Best Features of Construct 2 for Game Development

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Construct 2 has many features that make it a powerful and versatile game development tool. Some of the best features that you can use after cracking the license file are:

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The Tips and Tricks to Make Your Games Stand Out

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The Tips and Tricks to Make Your Games Stand Out

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Besides using the best features of Construct 2 for game development, you also need to apply some tips and tricks to make your games stand out from the crowd. Here are some of them:

- -

Conclusion

-

Construct 2 is a powerful game development tool that lets you create games for various platforms without coding. However, if you want to access all its features, you need to buy a license that can be expensive. That's why some people crack Construct 2 license file and enjoy all its features for free. In this article, we showed you how to crack Construct 2 license file for free using a simple method. We also showed you some of the best features of Construct 2 that you can use after cracking the license file, as well as some tips and tricks to make your games stand out.

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Moreover, cracking the license file can be dangerous for your computer and your games. You might download a cracked license file that contains malware or viruses that can harm your computer or steal your personal information. You might also encounter errors or bugs in your games that are caused by the cracked license file. Furthermore, cracking the license file can be unfair for other game developers who paid for their licenses legitimately. You are gaining an unfair advantage over them by accessing all the features of Construct 2 without paying anything.

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Therefore, we do not recommend or endorse cracking the license file for Construct 2. We are only providing this information for educational purposes only. If you decide to crack the license file anyway, you are doing so at your own risk and responsibility.

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FAQs

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Here are some of the frequently asked questions about cracking Construct 2 license file:

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    -
  1. Q: Is cracking Construct 2 license file legal?
    -A: No, cracking Construct 2 license file is illegal and unethical. You are violating the terms and conditions of Scirra and depriving them of their rightful income. You are also exposing yourself to potential legal actions from Scirra if they find out that you are using a cracked license file.
  2. -
  3. Q: Is cracking Construct 2 license file safe?
    -A: No, cracking Construct 2 license file can be dangerous for your computer and your games. You might download a cracked license file that contains malware or viruses that can harm your computer or steal your personal information. You might also encounter errors or bugs in your games that are caused by the cracked license file.
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  5. Q: Is cracking Construct 2 license file fair?
    -A: No, cracking Construct 2 license file can be unfair for other game developers who paid for their licenses legitimately. You are gaining an unfair advantage over them by accessing all the features of Construct 2 without paying anything.
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  7. Q: How can I crack Construct 2 license file?
    -A: To crack Construct 2 license file, you need to download and install Construct 2 from the official website, download a cracked license file from an online source, copy and paste the license file to the Construct 2 folder, and restart Construct 2.
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  9. Q: How can I use Construct 2 effectively after cracking the license file?
    -A: To use Construct 2 effectively after cracking the license file, you need to use the best features of Construct 2 for game development, such as multiplatform export, third-party plugins and extensions, advanced event system, visual effects and animations, and audio and music. You also need to apply some tips and tricks to make your games stand out, such as planning your game, using templates and tutorials, testing your game, optimizing your game, and publishing your game.
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\ No newline at end of file diff --git a/spaces/1acneusushi/gradio-2dmoleculeeditor/data/Culegere matematica petrica pdf O culegere completa de matematica pentru clasa 1-6.md b/spaces/1acneusushi/gradio-2dmoleculeeditor/data/Culegere matematica petrica pdf O culegere completa de matematica pentru clasa 1-6.md deleted file mode 100644 index 9161013951bd8461e9a1df336457868ad50a0c95..0000000000000000000000000000000000000000 --- a/spaces/1acneusushi/gradio-2dmoleculeeditor/data/Culegere matematica petrica pdf O culegere completa de matematica pentru clasa 1-6.md +++ /dev/null @@ -1,80 +0,0 @@ -
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Culegere Matematica Petrica PDF Download: A Useful Resource for Students and Teachers

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If you are looking for a comprehensive and reliable math book for grades 1-8, you might want to check out Culegere Matematica Petrica, a collection of math exercises, problems and tests written by Ion Petrica, a renowned Romanian math teacher and author. In this article, we will tell you what Culegere Matematica Petrica is, why you should download it in PDF format, how to do it, and how to use it effectively.

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What is Culegere Matematica Petrica?

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Culegere Matematica Petrica is a series of math books for grades 1-8, published by Sigma Publishing House in Bucharest, Romania. The books are based on the national math curriculum and cover all the topics and objectives required for each grade level. The books are divided into chapters, each containing a summary of the main concepts, followed by a large number of exercises, problems and tests of different difficulty levels. The books also include answers and solutions for all the questions.

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Who is Ion Petrica?

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Ion Petrica is a Romanian math teacher and author, who has written over 50 books on math education, ranging from elementary to high school level. He has also participated in various national and international math competitions and Olympiads, both as a contestant and as a trainer. He is known for his clear and concise explanations, his creative and challenging problems, and his passion for math.

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Culegere Matematica Petrica has several features that make it a valuable resource for students and teachers alike. Some of these features are:

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Why should you download Culegere Matematica Petrica PDF?

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If you are interested in using Culegere Matematica Petrica as your math textbook or reference book, you might want to download it in PDF format. There are several benefits of doing so:

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Benefits of using Culegere Matematica Petrica PDF

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It covers the math curriculum for grades 1-8

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By downloading Culegere Matematica Petrica PDF, you will have access to all the books in the series, from grade 1 to grade 8. This means that you will have a complete and consistent math education that follows the national standards. You will also be able to review previous topics or prepare for future ones at any time.

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It provides a variety of exercises, problems and tests

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Culegere Matematica Petrica PDF contains thousands of exercises, problems and tests that will help you practice and master the math concepts taught in each grade level. You will be able to choose from different types and difficulty levels of questions that suit your needs and preferences. You will also be able to check your answers and solutions at the end of each book.

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It helps develop mathematical skills and reasoning

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Culegere Matematica Petrica PDF is not just a collection of questions; it is also a tool that will help you develop your mathematical skills and reasoning abilities. By working on the exercises, problems and tests in the books, you will learn how to apply the math concepts to real-life situations; how to analyze data; how to solve equations; how to prove statements; how to think logically; how to communicate your ideas; etc.

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If you want to download Culegere Matematica Petrica PDF

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If you are looking for a way to download Evangelisches Gesangbuch Pdf for free, you have come to the right place. In this article, we will explain what Evangelisches Gesangbuch is, why you might want to download it for free, and how to use it effectively. We will also provide you with some tips and resources for finding and downloading the pdf file safely and legally.

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What is Evangelisches Gesangbuch?

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Evangelisches Gesangbuch is a hymnal that is used by the Protestant churches in Germany, Austria, and Switzerland. It was first published in 1993 and has since been revised and updated several times. It contains more than 600 hymns, songs, psalms, canticles, prayers, and liturgical texts that cover various themes and occasions of Christian worship.

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A brief history of the hymnal

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The idea of creating a common hymnal for the Protestant churches in Germany dates back to the 19th century, when several regional hymnals were developed and used by different denominations. However, it was not until after World War II that a serious effort was made to unify the hymnals and create a common liturgy. In 1950, a commission was formed to work on a new hymnal that would reflect the diversity and unity of the Protestant churches. After decades of research, consultation, and revision, Evangelisches Gesangbuch was finally published in 1993. It was intended to replace the old regional hymnals and to serve as a source of inspiration and guidance for worship.

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The contents and structure of the hymnal

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Evangelisches Gesangbuch is divided into two main parts: the general part and the regional part. The general part contains 535 hymns that are common to all regions and denominations. They are arranged according to the seasons of the church year, such as Advent, Christmas, Easter, Pentecost, etc., as well as according to topics such as praise, confession, faith, hope, love, etc. The regional part contains 65 additional hymns that are specific to each region or denomination. They reflect the local traditions, cultures, languages, and preferences of each church. The hymnal also includes an appendix with psalms, canticles, prayers, creeds, confessions, liturgical texts, indexes, and other supplementary materials.

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Evangelisches Gesangbuch is more than just a collection of songs. It is also a symbol of the ecumenical spirit and cooperation among the Protestant churches in Germany, Austria, and Switzerland. It represents their common heritage, faith, and mission as followers of Jesus Christ. It also expresses their diversity and openness to new forms and styles of worship. By singing from Evangelisches Gesangbuch, Christians can celebrate their unity in diversity and enrich their spiritual lives.

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Evangelisches Gesangbuch is a valuable resource for anyone who wants to learn more about Protestant hymnody and liturgy. However, buying a physical copy of the hymnal can be expensive or inconvenient for some people. That is why downloading Evangelisches Gesangbuch Pdf for free can be a good option for many reasons.

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Finally, you may want to share or print the pdf file of Evangelisches Gesangbuch for various purposes. Here are some ways to do that:

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Conclusion

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In conclusion, Evangelisches Gesangbuch Pdf is a great resource for anyone who wants to learn more about Protestant hymnody and liturgy. It is a hymnal that contains more than 600 hymns, songs, psalms, canticles, prayers, and liturgical texts that cover various themes and occasions of Christian worship. It is also a symbol of the ecumenical spirit and cooperation among the Protestant churches in Germany, Austria, and Switzerland. By downloading Evangelisches Gesangbuch Pdf for free, you can enjoy the benefits of having a digital copy of the hymnal that you can access anytime and anywhere on your device. However, you should also be aware of the challenges and risks of downloading the hymnal for free and follow some tips and resources for finding and downloading the pdf file safely and legally. Moreover, you should also know how to use Evangelisches Gesangbuch Pdf effectively by using the features and functions of the pdf format, the tips and tricks for using the pdf reader and editor, and the ways to share and print the pdf file. We hope this article has helped you understand more about Evangelisches Gesangbuch Pdf and how to download it for free.

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FAQs

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Here are some frequently asked questions about Evangelisches Gesangbuch Pdf:

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    -
  1. Q: How many versions or editions of Evangelisches Gesangbuch are there?
    -A: There are 14 regional versions or editions of Evangelisches Gesangbuch that correspond to each region or denomination in Germany, Austria, and Switzerland. Each version or edition has a different color and number on its cover.
  2. -
  3. Q: How can I find out which version or edition of Evangelisches Gesangbuch I need?
    -A: You can find out which version or edition of Evangelisches Gesangbuch you need by checking with your church or denomination. You can also look at the list of regions or denominations on this website.
  4. -
  5. Q: How can I buy a physical copy of Evangelisches Gesangbuch?
    -A: You can buy a physical copy of Evangelisches Gesangbuch from various online or offline bookstores or publishers. For example: Gottesdienstinstitut.org, Buchhandel.de, V-r.de, etc.
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To help you decide which driver simulator game to play, we have compared some of the most popular and realistic driver simulator games in 2023. We have rated them on a scale of 1 to 5 stars based on their realism, graphics, physics, content, and gameplay. We have also summarized their pros and cons in a table below.

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Gran Turismo 7★★★★★★★★★★★★★★★★★★★☆★★★★☆23/25- Stunning visuals
- Realistic physics
- Licensed vehicles
- Career mode
- Online features
- Limited tracks
- Long loading times
- High system requirements
- Expensive DLCs
- Occasional bugs
Euro Truck Simulator 2★★★★☆★★★☆☆★★★★☆★★★★★★★★★☆20/25- Immersive simulation
- Diverse content
- Customizable trucks
- Mod support
- Multiplayer mode
- Dated graphics
- Repetitive gameplay
- Unrealistic AI
- Complex controls
- Steep learning curve
City Car Driving★★★☆☆★★☆☆☆★★★☆☆★★★☆☆18/25- Educational value
- Realistic traffic
- Driving scenarios
- Weather effects
- VR support
- Low-quality graphics
- Limited vehicles
- Boring content
- Poor sound effects
- Expensive price
Forza Horizon 5★★★☆☆★★★★★★★★☆☆★★★★★★★★★★21/25- Gorgeous graphics
- Open-world exploration
- Diverse vehicles
- Fun gameplay
- Social features
- Arcade physics
- Unrealistic scenarios
- Frequent updates
- Microtransactions
- Online dependency
Flight Simulator 2023★★★★★★★★★★★★★★☆★★★★☆23/25- Amazing realism
- Stunning scenery
- Real-time weather
- Live traffic
- Flight lessons
- High hardware demands
- Long installation time
- Limited aircraft
- Complex controls
- Occasional glitches
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In this section, we will give you our detailed reviews of some of the best driver simulator games in 2023. We will highlight their strengths and weaknesses, and give you our recommendations.

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Gran Turismo 7

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Gran Turismo 7 is the latest installment in the legendary racing simulator series by Polyphony Digital. It is exclusive to PlayStation 5 and features over 400 licensed vehicles, 28 tracks, and a revamped career mode. It also supports online multiplayer, VR mode, and ray tracing technology.

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The game is praised for its stunning visuals, realistic physics, and authentic sound effects. The vehicles look and feel like their real counterparts, and the tracks are faithfully recreated from real locations. The game also offers a variety of customization options, such as tuning, painting, and decals. The career mode is engaging and challenging, and the online features are smooth and fun.

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The game is criticized for its limited track selection, long loading times, and high system requirements. The game also has some expensive DLCs that add more content, but some players feel that they should have been included in the base game. The game also has some occasional bugs and glitches that can affect the gameplay.

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Overall, Gran Turismo 7 is a must-have for racing enthusiasts who own a PlayStation 5. It is one of the most realistic and beautiful racing simulators ever made, and it offers hours of entertainment and challenge. However, it is not perfect, and it might not appeal to casual gamers or those who prefer arcade-style racing games.

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Euro Truck Simulator 2

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Euro Truck Simulator 2 is a truck driving simulator by SCS Software. It is available for Windows, Mac, and Linux, and features over 70 European cities, 15 countries, and hundreds of roads. It also supports modding, multiplayer mode, and VR mode.

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The game is praised for its immersive simulation, diverse content, and customizable trucks. The game lets you drive various types of trucks across Europe, delivering cargo, earning money, and expanding your business. The game also lets you modify your trucks with different parts, colors, and accessories. The modding community is active and provides many additional content such as maps, vehicles, skins, and more. The multiplayer mode is fun and social, and the VR mode is realistic and thrilling.

The game is criticized for its dated graphics, repetitive gameplay, and unrealistic AI. The game does not have the best visuals, and some of the environments look bland and boring. The game can also get monotonous after a while, as the missions are similar and the routes are long. The game also has some issues with the AI traffic, such as erratic behavior, collisions, and traffic jams.

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Overall, Euro Truck Simulator 2 is a great game for truck lovers who want to experience the life of a truck driver. It is a relaxing and rewarding game that offers a lot of variety and customization. However, it is not a game for everyone, and it might not appeal to those who prefer fast-paced or action-packed games.

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City Car Driving

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City Car Driving is a car driving simulator by Forward Development. It is available for Windows and features over 25 vehicles, 16 maps, and 24 scenarios. It also supports VR mode and modding.

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The game is praised for its educational value, realistic traffic, and driving scenarios. The game is designed to help you learn how to drive in different situations and conditions, such as city traffic, country roads, night driving, rain, snow, fog, etc. The game also includes a traffic rules mode, where you have to follow the traffic laws and signs of different countries. The game also has a variety of scenarios, such as parking, overtaking, emergency braking, etc. The game also supports VR mode, which enhances the immersion and realism of the game.

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The game is criticized for its low-quality graphics, limited vehicles, and boring content. The game does not have the best graphics, and some of the models and textures look outdated and low-resolution. The game also has a small selection of vehicles, mostly sedans and hatchbacks. The game also lacks content in terms of maps, modes, and objectives. The game can get dull and tedious after a while.

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Overall, City Car Driving is a good game for beginners who want to learn how to drive or improve their driving skills. It is a realistic and challenging game that teaches you the basics of driving in various situations. However, it is not a very entertaining or exciting game, and it might not appeal to those who want more action or variety in their games.

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Forza Horizon 5

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Forza Horizon 5 is an open-world racing simulator by Playground Games. It is available for Windows and Xbox Series X/S and features over 500 vehicles , and a stunning recreation of Mexico. It also supports online multiplayer, cross-play, and ray tracing technology.

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The game is praised for its gorgeous graphics, open-world exploration, and diverse vehicles. The game showcases the beauty and diversity of Mexico, with its vibrant cities, lush forests, arid deserts, snowy mountains, and ancient ruins. The game also offers a huge variety of vehicles, from supercars to off-road trucks, from motorcycles to planes. The game also has a fun and engaging gameplay, with dynamic seasons, events, challenges, and rewards.

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The game is criticized for its arcade physics, unrealistic scenarios, and frequent updates. The game does not have the most realistic physics, and some of the vehicles and tracks feel too easy or too hard to drive. The game also has some unrealistic scenarios, such as driving through a volcano, a sandstorm, or a tornado. The game also has frequent updates that add more content, but also require more storage space and internet bandwidth.

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Overall, Forza Horizon 5 is a fantastic game for racing fans who want to experience the thrill and joy of driving in a beautiful and diverse world. It is one of the most fun and enjoyable racing simulators ever made, and it offers hours of entertainment and challenge. However, it is not a very realistic or serious game, and it might not appeal to those who prefer more simulation or realism in their games.

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Flight Simulator 2023

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Flight Simulator 2023 is a flight simulator by Asobo Studio. It is available for Windows and Xbox Series X/S and features over 40 aircraft , and a realistic representation of the entire Earth. It also supports online multiplayer, VR mode, and modding.

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The game is praised for its amazing realism, stunning scenery, and real-time weather. The game uses satellite imagery, 3D mapping, and artificial intelligence to create a detailed and accurate model of the Earth. The game also uses real-time data from various sources to simulate the weather, the traffic, and the wildlife. The game also offers a variety of aircraft, from light planes to jets, from helicopters to gliders. The game also supports VR mode, which enhances the immersion and realism of the game.

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The game is criticized for its high hardware demands, long installation time, and limited aircraft. The game requires a powerful PC or console, a fast internet connection, and a large storage space to run smoothly and without issues. The game also takes a long time to install and update, which can be frustrating for some players. The game also has a small selection of aircraft, mostly civilian and commercial ones. The game also lacks some features such as combat, missions, or challenges.

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Overall, Flight Simulator 2023 is an incredible game for aviation enthusiasts who want to experience the wonder and beauty of flying in a realistic and immersive way. It is one of the most advanced and impressive flight simulators ever made, and it offers hours of exploration and discovery. However, it is not a very accessible or casual game, and it might not appeal to those who prefer more action or variety in their games.

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Conclusion

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Driver simulator games are software that simulate the experience of driving a vehicle in a virtual environment. They can be used for entertainment, education, research, or training purposes. They can also improve your driving skills, knowledge, and safety.

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Driver simulator games vary in terms of their quality, realism, and complexity. Some of the main features that you should look for when choosing a driver simulator game are realism, graphics, physics, content, and gameplay.

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We have compared and reviewed some of the best driver simulator games available in 2023. We have rated them on a scale of 1 to 5 stars based on their realism, graphics, physics, content , and gameplay. We have also summarized their pros and cons in a table and given our detailed reviews of each game.

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Some of the best driver simulator games in 2023 are Gran Turismo 7, Euro Truck Simulator 2, City Car Driving, Forza Horizon 5, and Flight Simulator 2023. Each game has its own strengths and weaknesses, and you should choose the one that suits your preferences, goals, and expectations.

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Driver simulator games are a great way to enjoy the thrill and challenge of driving in a safe and convenient way. They can also help you learn more about driving rules, traffic laws, vehicle dynamics, road safety, or human factors. They can also help you improve your driving abilities, knowledge, and confidence.

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We hope that this article has helped you understand more about driver simulator games and how to choose the best one for you. Happy driving!

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FAQs

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Here are some common questions and answers about driver simulator games:

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\ No newline at end of file diff --git a/spaces/30SecondsToMoon/30SecondsToMoon/app.py b/spaces/30SecondsToMoon/30SecondsToMoon/app.py deleted file mode 100644 index a699bc5b3c2e987102ca93e0ee28d601e0a93d02..0000000000000000000000000000000000000000 --- a/spaces/30SecondsToMoon/30SecondsToMoon/app.py +++ /dev/null @@ -1,7 +0,0 @@ -import gradio as gr - -def greet(name): - return "Hello " + name + "!!" - -iface = gr.Interface(fn=greet, inputs="text", outputs="text") -iface.launch() \ No newline at end of file diff --git a/spaces/3laa2/Text2img/app.py b/spaces/3laa2/Text2img/app.py deleted file mode 100644 index c237552f1e1d870ee9ed91305f84e1b9987e990e..0000000000000000000000000000000000000000 --- a/spaces/3laa2/Text2img/app.py +++ /dev/null @@ -1,120 +0,0 @@ -import streamlit as st -import cv2 as cv -import time -import torch -from diffusers import StableDiffusionPipeline -from transformers import GPT2Tokenizer, GPT2LMHeadModel - - -def create_model(loc = "stabilityai/stable-diffusion-2-1-base", mch = 'cpu'): - pipe = StableDiffusionPipeline.from_pretrained(loc) - pipe = pipe.to(mch) - return pipe - - -def tok_mod(): - tokenizer = GPT2Tokenizer.from_pretrained('distilgpt2') - tokenizer.add_special_tokens({'pad_token': '[PAD]'}) - model = GPT2LMHeadModel.from_pretrained('FredZhang7/distilgpt2-stable-diffusion-v2') - model.to('cpu') - return model,tokenizer - - -t2i = st.title(""" -Txt2Img -###### `CLICK "Create_Update_Model"` : -- `FIRST RUN OF THE CODE` -- `CHANGING MODEL` -###### TO USE GPT PROMPTS GENERATOR CHECK `GPT PROMS` THEN CLICK `CREATE GPT MODEL`""") - -the_type = st.selectbox("Model",("stabilityai/stable-diffusion-2-1-base", - "CompVis/stable-diffusion-v1-4")) -st.session_state.gate = False - -ma_1,_,ma_2 = st.columns([2,2,2]) - -with ma_1 : - create = st.button("Create The Model") - -if create: - st.session_state.t2m_mod = create_model(loc=the_type) - -with ma_2 : - gpt = st.checkbox("GPT PROMS") - -if gpt : - gen = st.button("Create GPT Model") - if gen: - st.session_state.mod,st.session_state.tok = tok_mod() - - m1,m2,m3 = st.columns([1,1,3]) - m4,m5 = st.columns(2) - prompt = st.text_input("GPT PROM",r'' ) - with m1 : - temperature = st.slider("Temp",0.0,1.0,.9,.1) - with m2 : - top_k = st.slider("K",2,16,8,2) - with m3 : - max_length = st.slider("Length",10,100,80,1) - with m4 : - repitition_penalty = st.slider("penality",1.0,5.0,1.2,1.0) - with m5 : - num_return_sequences=st.slider("Proms Num",1,10,5,1) - - prom_gen = st.button("Generate Proms") - - if prom_gen : - model, tokenizer = st.session_state.mod,st.session_state.tok - input_ids = tokenizer(prompt, return_tensors='pt').input_ids - output = model.generate(input_ids, do_sample=True, temperature=temperature, top_k=top_k, max_length=max_length, - num_return_sequences=num_return_sequences, repetition_penalty=repitition_penalty, - penalty_alpha=0.6, no_repeat_ngram_size=1, early_stopping=True) - - st.session_state.PROMPTS = [] - for i in range(len(output)): - st.session_state.PROMPTS.append(tokenizer.decode(output[i])) - -if 'PROMPTS' in st.session_state : - prom = st.selectbox("Proms",st.session_state.PROMPTS) - -else : - prom = st.text_input("# Prompt",'') - - - - -c1,c2,c3 = st.columns([1,1,3]) -c4,c5 = st.columns(2) -with c1: - bu_1 = st.text_input("Seed",'999') -with c2: - bu_2 = st.text_input("Steps",'12') -with c3: - bu_3 = st.text_input("Number of Images",'1') -with c4: - sl_1 = st.slider("Width",128,1024,512,8) -with c5: - sl_2 = st.slider("hight",128,1024,512,8) - -st.session_state.generator = torch.Generator("cpu").manual_seed(int(bu_1)) - -create = st.button("Imagine") - -if create: - model = st.session_state.t2m_mod - generator = st.session_state.generator - - if int(bu_3) == 1 : - IMG = model(prom, width=int(sl_1), height=int(sl_2), - num_inference_steps=int(bu_2), - generator=generator).images[0] - st.image(IMG) - - else : - PROMS = [prom]*int(bu_3) - - IMGS = model(PROMS, width=int(sl_1), height=int(sl_2), - num_inference_steps=int(bu_2), - generator=generator).images - - st.image(IMGS) \ No newline at end of file diff --git a/spaces/4Taps/SadTalker/src/facerender/modules/util.py b/spaces/4Taps/SadTalker/src/facerender/modules/util.py deleted file mode 100644 index b916deefbb8b957ad6ab3cd7403c28513e5ae18e..0000000000000000000000000000000000000000 --- a/spaces/4Taps/SadTalker/src/facerender/modules/util.py +++ /dev/null @@ -1,564 +0,0 @@ -from torch import nn - -import torch.nn.functional as F -import torch - -from src.facerender.sync_batchnorm import SynchronizedBatchNorm2d as BatchNorm2d -from src.facerender.sync_batchnorm import SynchronizedBatchNorm3d as BatchNorm3d - -import torch.nn.utils.spectral_norm as spectral_norm - - -def kp2gaussian(kp, spatial_size, kp_variance): - """ - Transform a keypoint into gaussian like representation - """ - mean = kp['value'] - - coordinate_grid = make_coordinate_grid(spatial_size, mean.type()) - number_of_leading_dimensions = len(mean.shape) - 1 - shape = (1,) * number_of_leading_dimensions + coordinate_grid.shape - coordinate_grid = coordinate_grid.view(*shape) - repeats = mean.shape[:number_of_leading_dimensions] + (1, 1, 1, 1) - coordinate_grid = coordinate_grid.repeat(*repeats) - - # Preprocess kp shape - shape = mean.shape[:number_of_leading_dimensions] + (1, 1, 1, 3) - mean = mean.view(*shape) - - mean_sub = (coordinate_grid - mean) - - out = torch.exp(-0.5 * (mean_sub ** 2).sum(-1) / kp_variance) - - return out - -def make_coordinate_grid_2d(spatial_size, type): - """ - Create a meshgrid [-1,1] x [-1,1] of given spatial_size. - """ - h, w = spatial_size - x = torch.arange(w).type(type) - y = torch.arange(h).type(type) - - x = (2 * (x / (w - 1)) - 1) - y = (2 * (y / (h - 1)) - 1) - - yy = y.view(-1, 1).repeat(1, w) - xx = x.view(1, -1).repeat(h, 1) - - meshed = torch.cat([xx.unsqueeze_(2), yy.unsqueeze_(2)], 2) - - return meshed - - -def make_coordinate_grid(spatial_size, type): - d, h, w = spatial_size - x = torch.arange(w).type(type) - y = torch.arange(h).type(type) - z = torch.arange(d).type(type) - - x = (2 * (x / (w - 1)) - 1) - y = (2 * (y / (h - 1)) - 1) - z = (2 * (z / (d - 1)) - 1) - - yy = y.view(1, -1, 1).repeat(d, 1, w) - xx = x.view(1, 1, -1).repeat(d, h, 1) - zz = z.view(-1, 1, 1).repeat(1, h, w) - - meshed = torch.cat([xx.unsqueeze_(3), yy.unsqueeze_(3), zz.unsqueeze_(3)], 3) - - return meshed - - -class ResBottleneck(nn.Module): - def __init__(self, in_features, stride): - super(ResBottleneck, self).__init__() - self.conv1 = nn.Conv2d(in_channels=in_features, out_channels=in_features//4, kernel_size=1) - self.conv2 = nn.Conv2d(in_channels=in_features//4, out_channels=in_features//4, kernel_size=3, padding=1, stride=stride) - self.conv3 = nn.Conv2d(in_channels=in_features//4, out_channels=in_features, kernel_size=1) - self.norm1 = BatchNorm2d(in_features//4, affine=True) - self.norm2 = BatchNorm2d(in_features//4, affine=True) - self.norm3 = BatchNorm2d(in_features, affine=True) - - self.stride = stride - if self.stride != 1: - self.skip = nn.Conv2d(in_channels=in_features, out_channels=in_features, kernel_size=1, stride=stride) - self.norm4 = BatchNorm2d(in_features, affine=True) - - def forward(self, x): - out = self.conv1(x) - out = self.norm1(out) - out = F.relu(out) - out = self.conv2(out) - out = self.norm2(out) - out = F.relu(out) - out = self.conv3(out) - out = self.norm3(out) - if self.stride != 1: - x = self.skip(x) - x = self.norm4(x) - out += x - out = F.relu(out) - return out - - -class ResBlock2d(nn.Module): - """ - Res block, preserve spatial resolution. - """ - - def __init__(self, in_features, kernel_size, padding): - super(ResBlock2d, self).__init__() - self.conv1 = nn.Conv2d(in_channels=in_features, out_channels=in_features, kernel_size=kernel_size, - padding=padding) - self.conv2 = nn.Conv2d(in_channels=in_features, out_channels=in_features, kernel_size=kernel_size, - padding=padding) - self.norm1 = BatchNorm2d(in_features, affine=True) - self.norm2 = BatchNorm2d(in_features, affine=True) - - def forward(self, x): - out = self.norm1(x) - out = F.relu(out) - out = self.conv1(out) - out = self.norm2(out) - out = F.relu(out) - out = self.conv2(out) - out += x - return out - - -class ResBlock3d(nn.Module): - """ - Res block, preserve spatial resolution. - """ - - def __init__(self, in_features, kernel_size, padding): - super(ResBlock3d, self).__init__() - self.conv1 = nn.Conv3d(in_channels=in_features, out_channels=in_features, kernel_size=kernel_size, - padding=padding) - self.conv2 = nn.Conv3d(in_channels=in_features, out_channels=in_features, kernel_size=kernel_size, - padding=padding) - self.norm1 = BatchNorm3d(in_features, affine=True) - self.norm2 = BatchNorm3d(in_features, affine=True) - - def forward(self, x): - out = self.norm1(x) - out = F.relu(out) - out = self.conv1(out) - out = self.norm2(out) - out = F.relu(out) - out = self.conv2(out) - out += x - return out - - -class UpBlock2d(nn.Module): - """ - Upsampling block for use in decoder. - """ - - def __init__(self, in_features, out_features, kernel_size=3, padding=1, groups=1): - super(UpBlock2d, self).__init__() - - self.conv = nn.Conv2d(in_channels=in_features, out_channels=out_features, kernel_size=kernel_size, - padding=padding, groups=groups) - self.norm = BatchNorm2d(out_features, affine=True) - - def forward(self, x): - out = F.interpolate(x, scale_factor=2) - out = self.conv(out) - out = self.norm(out) - out = F.relu(out) - return out - -class UpBlock3d(nn.Module): - """ - Upsampling block for use in decoder. - """ - - def __init__(self, in_features, out_features, kernel_size=3, padding=1, groups=1): - super(UpBlock3d, self).__init__() - - self.conv = nn.Conv3d(in_channels=in_features, out_channels=out_features, kernel_size=kernel_size, - padding=padding, groups=groups) - self.norm = BatchNorm3d(out_features, affine=True) - - def forward(self, x): - # out = F.interpolate(x, scale_factor=(1, 2, 2), mode='trilinear') - out = F.interpolate(x, scale_factor=(1, 2, 2)) - out = self.conv(out) - out = self.norm(out) - out = F.relu(out) - return out - - -class DownBlock2d(nn.Module): - """ - Downsampling block for use in encoder. - """ - - def __init__(self, in_features, out_features, kernel_size=3, padding=1, groups=1): - super(DownBlock2d, self).__init__() - self.conv = nn.Conv2d(in_channels=in_features, out_channels=out_features, kernel_size=kernel_size, - padding=padding, groups=groups) - self.norm = BatchNorm2d(out_features, affine=True) - self.pool = nn.AvgPool2d(kernel_size=(2, 2)) - - def forward(self, x): - out = self.conv(x) - out = self.norm(out) - out = F.relu(out) - out = self.pool(out) - return out - - -class DownBlock3d(nn.Module): - """ - Downsampling block for use in encoder. - """ - - def __init__(self, in_features, out_features, kernel_size=3, padding=1, groups=1): - super(DownBlock3d, self).__init__() - ''' - self.conv = nn.Conv3d(in_channels=in_features, out_channels=out_features, kernel_size=kernel_size, - padding=padding, groups=groups, stride=(1, 2, 2)) - ''' - self.conv = nn.Conv3d(in_channels=in_features, out_channels=out_features, kernel_size=kernel_size, - padding=padding, groups=groups) - self.norm = BatchNorm3d(out_features, affine=True) - self.pool = nn.AvgPool3d(kernel_size=(1, 2, 2)) - - def forward(self, x): - out = self.conv(x) - out = self.norm(out) - out = F.relu(out) - out = self.pool(out) - return out - - -class SameBlock2d(nn.Module): - """ - Simple block, preserve spatial resolution. - """ - - def __init__(self, in_features, out_features, groups=1, kernel_size=3, padding=1, lrelu=False): - super(SameBlock2d, self).__init__() - self.conv = nn.Conv2d(in_channels=in_features, out_channels=out_features, - kernel_size=kernel_size, padding=padding, groups=groups) - self.norm = BatchNorm2d(out_features, affine=True) - if lrelu: - self.ac = nn.LeakyReLU() - else: - self.ac = nn.ReLU() - - def forward(self, x): - out = self.conv(x) - out = self.norm(out) - out = self.ac(out) - return out - - -class Encoder(nn.Module): - """ - Hourglass Encoder - """ - - def __init__(self, block_expansion, in_features, num_blocks=3, max_features=256): - super(Encoder, self).__init__() - - down_blocks = [] - for i in range(num_blocks): - down_blocks.append(DownBlock3d(in_features if i == 0 else min(max_features, block_expansion * (2 ** i)), - min(max_features, block_expansion * (2 ** (i + 1))), - kernel_size=3, padding=1)) - self.down_blocks = nn.ModuleList(down_blocks) - - def forward(self, x): - outs = [x] - for down_block in self.down_blocks: - outs.append(down_block(outs[-1])) - return outs - - -class Decoder(nn.Module): - """ - Hourglass Decoder - """ - - def __init__(self, block_expansion, in_features, num_blocks=3, max_features=256): - super(Decoder, self).__init__() - - up_blocks = [] - - for i in range(num_blocks)[::-1]: - in_filters = (1 if i == num_blocks - 1 else 2) * min(max_features, block_expansion * (2 ** (i + 1))) - out_filters = min(max_features, block_expansion * (2 ** i)) - up_blocks.append(UpBlock3d(in_filters, out_filters, kernel_size=3, padding=1)) - - self.up_blocks = nn.ModuleList(up_blocks) - # self.out_filters = block_expansion - self.out_filters = block_expansion + in_features - - self.conv = nn.Conv3d(in_channels=self.out_filters, out_channels=self.out_filters, kernel_size=3, padding=1) - self.norm = BatchNorm3d(self.out_filters, affine=True) - - def forward(self, x): - out = x.pop() - # for up_block in self.up_blocks[:-1]: - for up_block in self.up_blocks: - out = up_block(out) - skip = x.pop() - out = torch.cat([out, skip], dim=1) - # out = self.up_blocks[-1](out) - out = self.conv(out) - out = self.norm(out) - out = F.relu(out) - return out - - -class Hourglass(nn.Module): - """ - Hourglass architecture. - """ - - def __init__(self, block_expansion, in_features, num_blocks=3, max_features=256): - super(Hourglass, self).__init__() - self.encoder = Encoder(block_expansion, in_features, num_blocks, max_features) - self.decoder = Decoder(block_expansion, in_features, num_blocks, max_features) - self.out_filters = self.decoder.out_filters - - def forward(self, x): - return self.decoder(self.encoder(x)) - - -class KPHourglass(nn.Module): - """ - Hourglass architecture. - """ - - def __init__(self, block_expansion, in_features, reshape_features, reshape_depth, num_blocks=3, max_features=256): - super(KPHourglass, self).__init__() - - self.down_blocks = nn.Sequential() - for i in range(num_blocks): - self.down_blocks.add_module('down'+ str(i), DownBlock2d(in_features if i == 0 else min(max_features, block_expansion * (2 ** i)), - min(max_features, block_expansion * (2 ** (i + 1))), - kernel_size=3, padding=1)) - - in_filters = min(max_features, block_expansion * (2 ** num_blocks)) - self.conv = nn.Conv2d(in_channels=in_filters, out_channels=reshape_features, kernel_size=1) - - self.up_blocks = nn.Sequential() - for i in range(num_blocks): - in_filters = min(max_features, block_expansion * (2 ** (num_blocks - i))) - out_filters = min(max_features, block_expansion * (2 ** (num_blocks - i - 1))) - self.up_blocks.add_module('up'+ str(i), UpBlock3d(in_filters, out_filters, kernel_size=3, padding=1)) - - self.reshape_depth = reshape_depth - self.out_filters = out_filters - - def forward(self, x): - out = self.down_blocks(x) - out = self.conv(out) - bs, c, h, w = out.shape - out = out.view(bs, c//self.reshape_depth, self.reshape_depth, h, w) - out = self.up_blocks(out) - - return out - - - -class AntiAliasInterpolation2d(nn.Module): - """ - Band-limited downsampling, for better preservation of the input signal. - """ - def __init__(self, channels, scale): - super(AntiAliasInterpolation2d, self).__init__() - sigma = (1 / scale - 1) / 2 - kernel_size = 2 * round(sigma * 4) + 1 - self.ka = kernel_size // 2 - self.kb = self.ka - 1 if kernel_size % 2 == 0 else self.ka - - kernel_size = [kernel_size, kernel_size] - sigma = [sigma, sigma] - # The gaussian kernel is the product of the - # gaussian function of each dimension. - kernel = 1 - meshgrids = torch.meshgrid( - [ - torch.arange(size, dtype=torch.float32) - for size in kernel_size - ] - ) - for size, std, mgrid in zip(kernel_size, sigma, meshgrids): - mean = (size - 1) / 2 - kernel *= torch.exp(-(mgrid - mean) ** 2 / (2 * std ** 2)) - - # Make sure sum of values in gaussian kernel equals 1. - kernel = kernel / torch.sum(kernel) - # Reshape to depthwise convolutional weight - kernel = kernel.view(1, 1, *kernel.size()) - kernel = kernel.repeat(channels, *[1] * (kernel.dim() - 1)) - - self.register_buffer('weight', kernel) - self.groups = channels - self.scale = scale - inv_scale = 1 / scale - self.int_inv_scale = int(inv_scale) - - def forward(self, input): - if self.scale == 1.0: - return input - - out = F.pad(input, (self.ka, self.kb, self.ka, self.kb)) - out = F.conv2d(out, weight=self.weight, groups=self.groups) - out = out[:, :, ::self.int_inv_scale, ::self.int_inv_scale] - - return out - - -class SPADE(nn.Module): - def __init__(self, norm_nc, label_nc): - super().__init__() - - self.param_free_norm = nn.InstanceNorm2d(norm_nc, affine=False) - nhidden = 128 - - self.mlp_shared = nn.Sequential( - nn.Conv2d(label_nc, nhidden, kernel_size=3, padding=1), - nn.ReLU()) - self.mlp_gamma = nn.Conv2d(nhidden, norm_nc, kernel_size=3, padding=1) - self.mlp_beta = nn.Conv2d(nhidden, norm_nc, kernel_size=3, padding=1) - - def forward(self, x, segmap): - normalized = self.param_free_norm(x) - segmap = F.interpolate(segmap, size=x.size()[2:], mode='nearest') - actv = self.mlp_shared(segmap) - gamma = self.mlp_gamma(actv) - beta = self.mlp_beta(actv) - out = normalized * (1 + gamma) + beta - return out - - -class SPADEResnetBlock(nn.Module): - def __init__(self, fin, fout, norm_G, label_nc, use_se=False, dilation=1): - super().__init__() - # Attributes - self.learned_shortcut = (fin != fout) - fmiddle = min(fin, fout) - self.use_se = use_se - # create conv layers - self.conv_0 = nn.Conv2d(fin, fmiddle, kernel_size=3, padding=dilation, dilation=dilation) - self.conv_1 = nn.Conv2d(fmiddle, fout, kernel_size=3, padding=dilation, dilation=dilation) - if self.learned_shortcut: - self.conv_s = nn.Conv2d(fin, fout, kernel_size=1, bias=False) - # apply spectral norm if specified - if 'spectral' in norm_G: - self.conv_0 = spectral_norm(self.conv_0) - self.conv_1 = spectral_norm(self.conv_1) - if self.learned_shortcut: - self.conv_s = spectral_norm(self.conv_s) - # define normalization layers - self.norm_0 = SPADE(fin, label_nc) - self.norm_1 = SPADE(fmiddle, label_nc) - if self.learned_shortcut: - self.norm_s = SPADE(fin, label_nc) - - def forward(self, x, seg1): - x_s = self.shortcut(x, seg1) - dx = self.conv_0(self.actvn(self.norm_0(x, seg1))) - dx = self.conv_1(self.actvn(self.norm_1(dx, seg1))) - out = x_s + dx - return out - - def shortcut(self, x, seg1): - if self.learned_shortcut: - x_s = self.conv_s(self.norm_s(x, seg1)) - else: - x_s = x - return x_s - - def actvn(self, x): - return F.leaky_relu(x, 2e-1) - -class audio2image(nn.Module): - def __init__(self, generator, kp_extractor, he_estimator_video, he_estimator_audio, train_params): - super().__init__() - # Attributes - self.generator = generator - self.kp_extractor = kp_extractor - self.he_estimator_video = he_estimator_video - self.he_estimator_audio = he_estimator_audio - self.train_params = train_params - - def headpose_pred_to_degree(self, pred): - device = pred.device - idx_tensor = [idx for idx in range(66)] - idx_tensor = torch.FloatTensor(idx_tensor).to(device) - pred = F.softmax(pred) - degree = torch.sum(pred*idx_tensor, 1) * 3 - 99 - - return degree - - def get_rotation_matrix(self, yaw, pitch, roll): - yaw = yaw / 180 * 3.14 - pitch = pitch / 180 * 3.14 - roll = roll / 180 * 3.14 - - roll = roll.unsqueeze(1) - pitch = pitch.unsqueeze(1) - yaw = yaw.unsqueeze(1) - - roll_mat = torch.cat([torch.ones_like(roll), torch.zeros_like(roll), torch.zeros_like(roll), - torch.zeros_like(roll), torch.cos(roll), -torch.sin(roll), - torch.zeros_like(roll), torch.sin(roll), torch.cos(roll)], dim=1) - roll_mat = roll_mat.view(roll_mat.shape[0], 3, 3) - - pitch_mat = torch.cat([torch.cos(pitch), torch.zeros_like(pitch), torch.sin(pitch), - torch.zeros_like(pitch), torch.ones_like(pitch), torch.zeros_like(pitch), - -torch.sin(pitch), torch.zeros_like(pitch), torch.cos(pitch)], dim=1) - pitch_mat = pitch_mat.view(pitch_mat.shape[0], 3, 3) - - yaw_mat = torch.cat([torch.cos(yaw), -torch.sin(yaw), torch.zeros_like(yaw), - torch.sin(yaw), torch.cos(yaw), torch.zeros_like(yaw), - torch.zeros_like(yaw), torch.zeros_like(yaw), torch.ones_like(yaw)], dim=1) - yaw_mat = yaw_mat.view(yaw_mat.shape[0], 3, 3) - - rot_mat = torch.einsum('bij,bjk,bkm->bim', roll_mat, pitch_mat, yaw_mat) - - return rot_mat - - def keypoint_transformation(self, kp_canonical, he): - kp = kp_canonical['value'] # (bs, k, 3) - yaw, pitch, roll = he['yaw'], he['pitch'], he['roll'] - t, exp = he['t'], he['exp'] - - yaw = self.headpose_pred_to_degree(yaw) - pitch = self.headpose_pred_to_degree(pitch) - roll = self.headpose_pred_to_degree(roll) - - rot_mat = self.get_rotation_matrix(yaw, pitch, roll) # (bs, 3, 3) - - # keypoint rotation - kp_rotated = torch.einsum('bmp,bkp->bkm', rot_mat, kp) - - - - # keypoint translation - t = t.unsqueeze_(1).repeat(1, kp.shape[1], 1) - kp_t = kp_rotated + t - - # add expression deviation - exp = exp.view(exp.shape[0], -1, 3) - kp_transformed = kp_t + exp - - return {'value': kp_transformed} - - def forward(self, source_image, target_audio): - pose_source = self.he_estimator_video(source_image) - pose_generated = self.he_estimator_audio(target_audio) - kp_canonical = self.kp_extractor(source_image) - kp_source = self.keypoint_transformation(kp_canonical, pose_source) - kp_transformed_generated = self.keypoint_transformation(kp_canonical, pose_generated) - generated = self.generator(source_image, kp_source=kp_source, kp_driving=kp_transformed_generated) - return generated \ No newline at end of file diff --git a/spaces/AIConsultant/MusicGen/app_v2.py b/spaces/AIConsultant/MusicGen/app_v2.py deleted file mode 100644 index 70a3dfae4ac5c02bc1d9e78b8d5d0c2139ba503b..0000000000000000000000000000000000000000 --- a/spaces/AIConsultant/MusicGen/app_v2.py +++ /dev/null @@ -1,1839 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. - -# This source code is licensed under the license found in the -# LICENSE file in the root directory of this source tree. - -# Updated to account for UI changes from https://github.com/rkfg/audiocraft/blob/long/app.py -# also released under the MIT license. - -import argparse -from concurrent.futures import ProcessPoolExecutor -import os -from pathlib import Path -import subprocess as sp -from tempfile import NamedTemporaryFile -import time -import warnings -import glob -import re -from PIL import Image -from pydub import AudioSegment -from datetime import datetime - -import json -import shutil -import taglib -import torch -import torchaudio -import gradio as gr -import numpy as np -import typing as tp - -from audiocraft.data.audio_utils import convert_audio -from audiocraft.data.audio import audio_write -from audiocraft.models import AudioGen, MusicGen, MultiBandDiffusion -from audiocraft.utils import ui -import random, string - -version = "2.0.0a" - -theme = gr.themes.Base( - primary_hue="lime", - secondary_hue="lime", - neutral_hue="neutral", -).set( - button_primary_background_fill_hover='*primary_500', - button_primary_background_fill_hover_dark='*primary_500', - button_secondary_background_fill_hover='*primary_500', - button_secondary_background_fill_hover_dark='*primary_500' -) - -MODEL = None # Last used model -MODELS = None -UNLOAD_MODEL = False -MOVE_TO_CPU = False -IS_BATCHED = "facebook/MusicGen" in os.environ.get('SPACE_ID', '') -print(IS_BATCHED) -MAX_BATCH_SIZE = 12 -BATCHED_DURATION = 15 -INTERRUPTING = False -MBD = None -# We have to wrap subprocess call to clean a bit the log when using gr.make_waveform -_old_call = sp.call - - -def generate_random_string(length): - characters = string.ascii_letters + string.digits - return ''.join(random.choice(characters) for _ in range(length)) - - -def resize_video(input_path, output_path, target_width, target_height): - ffmpeg_cmd = [ - 'ffmpeg', - '-y', - '-i', input_path, - '-vf', f'scale={target_width}:{target_height}', - '-c:a', 'copy', - output_path - ] - sp.run(ffmpeg_cmd) - - -def _call_nostderr(*args, **kwargs): - # Avoid ffmpeg vomiting on the logs. - kwargs['stderr'] = sp.DEVNULL - kwargs['stdout'] = sp.DEVNULL - _old_call(*args, **kwargs) - - -sp.call = _call_nostderr -# Preallocating the pool of processes. -pool = ProcessPoolExecutor(4) -pool.__enter__() - - -def interrupt(): - global INTERRUPTING - INTERRUPTING = True - - -class FileCleaner: - def __init__(self, file_lifetime: float = 3600): - self.file_lifetime = file_lifetime - self.files = [] - - def add(self, path: tp.Union[str, Path]): - self._cleanup() - self.files.append((time.time(), Path(path))) - - def _cleanup(self): - now = time.time() - for time_added, path in list(self.files): - if now - time_added > self.file_lifetime: - if path.exists(): - path.unlink() - self.files.pop(0) - else: - break - - -file_cleaner = FileCleaner() - - -def make_waveform(*args, **kwargs): - # Further remove some warnings. - be = time.time() - with warnings.catch_warnings(): - warnings.simplefilter('ignore') - height = kwargs.pop('height') - width = kwargs.pop('width') - if height < 256: - height = 256 - if width < 256: - width = 256 - waveform_video = gr.make_waveform(*args, **kwargs) - out = f"{generate_random_string(12)}.mp4" - image = kwargs.get('bg_image', None) - if image is None: - resize_video(waveform_video, out, 900, 300) - else: - resize_video(waveform_video, out, width, height) - print("Make a video took", time.time() - be) - return out - - -def load_model(version='GrandaddyShmax/musicgen-melody', custom_model=None, base_model='GrandaddyShmax/musicgen-medium', gen_type="music"): - global MODEL, MODELS - print("Loading model", version) - if MODELS is None: - if version == 'GrandaddyShmax/musicgen-custom': - MODEL = MusicGen.get_pretrained(base_model) - file_path = os.path.abspath("models/" + str(custom_model) + ".pt") - MODEL.lm.load_state_dict(torch.load(file_path)) - else: - if gen_type == "music": - MODEL = MusicGen.get_pretrained(version) - elif gen_type == "audio": - MODEL = AudioGen.get_pretrained(version) - - return - - else: - t1 = time.monotonic() - if MODEL is not None: - MODEL.to('cpu') # move to cache - print("Previous model moved to CPU in %.2fs" % (time.monotonic() - t1)) - t1 = time.monotonic() - if version != 'GrandaddyShmax/musicgen-custom' and MODELS.get(version) is None: - print("Loading model %s from disk" % version) - if gen_type == "music": - result = MusicGen.get_pretrained(version) - elif gen_type == "audio": - result = AudioGen.get_pretrained(version) - MODELS[version] = result - print("Model loaded in %.2fs" % (time.monotonic() - t1)) - MODEL = result - return - result = MODELS[version].to('cuda') - print("Cached model loaded in %.2fs" % (time.monotonic() - t1)) - MODEL = result - -def get_audio_info(audio_path): - if audio_path is not None: - if audio_path.name.endswith(".wav") or audio_path.name.endswith(".mp4") or audio_path.name.endswith(".json"): - if not audio_path.name.endswith(".json"): - with taglib.File(audio_path.name, save_on_exit=False) as song: - if 'COMMENT' not in song.tags: - return "No tags found. Either the file is not generated by MusicGen+ V1.2.7 and higher or the tags are corrupted. (Discord removes metadata from mp4 and wav files, so you can't use them)" - json_string = song.tags['COMMENT'][0] - data = json.loads(json_string) - global_prompt = str("\nGlobal Prompt: " + (data['global_prompt'] if data['global_prompt'] != "" else "none")) if 'global_prompt' in data else "" - bpm = str("\nBPM: " + data['bpm']) if 'bpm' in data else "" - key = str("\nKey: " + data['key']) if 'key' in data else "" - scale = str("\nScale: " + data['scale']) if 'scale' in data else "" - prompts = str("\nPrompts: " + (data['texts'] if data['texts'] != "['']" else "none")) if 'texts' in data else "" - duration = str("\nDuration: " + data['duration']) if 'duration' in data else "" - overlap = str("\nOverlap: " + data['overlap']) if 'overlap' in data else "" - seed = str("\nSeed: " + data['seed']) if 'seed' in data else "" - audio_mode = str("\nAudio Mode: " + data['audio_mode']) if 'audio_mode' in data else "" - input_length = str("\nInput Length: " + data['input_length']) if 'input_length' in data else "" - channel = str("\nChannel: " + data['channel']) if 'channel' in data else "" - sr_select = str("\nSample Rate: " + data['sr_select']) if 'sr_select' in data else "" - gen_type = str(data['generator'] + "gen-") if 'generator' in data else "" - model = str("\nModel: " + gen_type + data['model']) if 'model' in data else "" - custom_model = str("\nCustom Model: " + data['custom_model']) if 'custom_model' in data else "" - base_model = str("\nBase Model: " + data['base_model']) if 'base_model' in data else "" - decoder = str("\nDecoder: " + data['decoder']) if 'decoder' in data else "" - topk = str("\nTopk: " + data['topk']) if 'topk' in data else "" - topp = str("\nTopp: " + data['topp']) if 'topp' in data else "" - temperature = str("\nTemperature: " + data['temperature']) if 'temperature' in data else "" - cfg_coef = str("\nClassifier Free Guidance: " + data['cfg_coef']) if 'cfg_coef' in data else "" - version = str("Version: " + data['version']) if 'version' in data else "Version: Unknown" - info = str(version + global_prompt + bpm + key + scale + prompts + duration + overlap + seed + audio_mode + input_length + channel + sr_select + model + custom_model + base_model + decoder + topk + topp + temperature + cfg_coef) - if info == "": - return "No tags found. Either the file is not generated by MusicGen+ V1.2.7 and higher or the tags are corrupted. (Discord removes metadata from mp4 and wav files, so you can't use them)" - return info - else: - with open(audio_path.name) as json_file: - data = json.load(json_file) - #if 'global_prompt' not in data: - #return "No tags found. Either the file is not generated by MusicGen+ V1.2.8a and higher or the tags are corrupted." - global_prompt = str("\nGlobal Prompt: " + (data['global_prompt'] if data['global_prompt'] != "" else "none")) if 'global_prompt' in data else "" - bpm = str("\nBPM: " + data['bpm']) if 'bpm' in data else "" - key = str("\nKey: " + data['key']) if 'key' in data else "" - scale = str("\nScale: " + data['scale']) if 'scale' in data else "" - prompts = str("\nPrompts: " + (data['texts'] if data['texts'] != "['']" else "none")) if 'texts' in data else "" - duration = str("\nDuration: " + data['duration']) if 'duration' in data else "" - overlap = str("\nOverlap: " + data['overlap']) if 'overlap' in data else "" - seed = str("\nSeed: " + data['seed']) if 'seed' in data else "" - audio_mode = str("\nAudio Mode: " + data['audio_mode']) if 'audio_mode' in data else "" - input_length = str("\nInput Length: " + data['input_length']) if 'input_length' in data else "" - channel = str("\nChannel: " + data['channel']) if 'channel' in data else "" - sr_select = str("\nSample Rate: " + data['sr_select']) if 'sr_select' in data else "" - gen_type = str(data['generator'] + "gen-") if 'generator' in data else "" - model = str("\nModel: " + gen_type + data['model']) if 'model' in data else "" - custom_model = str("\nCustom Model: " + data['custom_model']) if 'custom_model' in data else "" - base_model = str("\nBase Model: " + data['base_model']) if 'base_model' in data else "" - decoder = str("\nDecoder: " + data['decoder']) if 'decoder' in data else "" - topk = str("\nTopk: " + data['topk']) if 'topk' in data else "" - topp = str("\nTopp: " + data['topp']) if 'topp' in data else "" - temperature = str("\nTemperature: " + data['temperature']) if 'temperature' in data else "" - cfg_coef = str("\nClassifier Free Guidance: " + data['cfg_coef']) if 'cfg_coef' in data else "" - version = str("Version: " + data['version']) if 'version' in data else "Version: Unknown" - info = str(version + global_prompt + bpm + key + scale + prompts + duration + overlap + seed + audio_mode + input_length + channel + sr_select + model + custom_model + base_model + decoder + topk + topp + temperature + cfg_coef) - if info == "": - return "No tags found. Either the file is not generated by MusicGen+ V1.2.7 and higher or the tags are corrupted." - return info - else: - return "Only .wav ,.mp4 and .json files are supported" - else: - return None - - -def info_to_params(audio_path): - if audio_path is not None: - if audio_path.name.endswith(".wav") or audio_path.name.endswith(".mp4") or audio_path.name.endswith(".json"): - if not audio_path.name.endswith(".json"): - with taglib.File(audio_path.name, save_on_exit=False) as song: - if 'COMMENT' not in song.tags: - return "Default", False, "", 120, "C", "Major", "large", None, "medium", 1, "", "", "", "", "", "", "", "", "", "", 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, "sample", 10, 250, 0, 1.0, 5.0, -1, 12, "stereo", "48000" - json_string = song.tags['COMMENT'][0] - data = json.loads(json_string) - struc_prompt = (False if data['bpm'] == "none" else True) if 'bpm' in data else False - global_prompt = data['global_prompt'] if 'global_prompt' in data else "" - bpm = (120 if data['bpm'] == "none" else int(data['bpm'])) if 'bpm' in data else 120 - key = ("C" if data['key'] == "none" else data['key']) if 'key' in data else "C" - scale = ("Major" if data['scale'] == "none" else data['scale']) if 'scale' in data else "Major" - model = data['model'] if 'model' in data else "large" - custom_model = (data['custom_model'] if data['custom_model'] in get_available_models() else None) if 'custom_model' in data else None - base_model = data['base_model'] if 'base_model' in data else "medium" - decoder = data['decoder'] if 'decoder' in data else "Default" - if 'texts' not in data: - unique_prompts = 1 - text = ["", "", "", "", "", "", "", "", "", ""] - repeat = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] - else: - s = data['texts'] - s = re.findall(r"'(.*?)'", s) - text = [] - repeat = [] - i = 0 - for elem in s: - if elem.strip(): - if i == 0 or elem != s[i-1]: - text.append(elem) - repeat.append(1) - else: - repeat[-1] += 1 - i += 1 - text.extend([""] * (10 - len(text))) - repeat.extend([1] * (10 - len(repeat))) - unique_prompts = len([t for t in text if t]) - audio_mode = ("sample" if data['audio_mode'] == "none" else data['audio_mode']) if 'audio_mode' in data else "sample" - duration = int(data['duration']) if 'duration' in data else 10 - topk = float(data['topk']) if 'topk' in data else 250 - topp = float(data['topp']) if 'topp' in data else 0 - temperature = float(data['temperature']) if 'temperature' in data else 1.0 - cfg_coef = float(data['cfg_coef']) if 'cfg_coef' in data else 5.0 - seed = int(data['seed']) if 'seed' in data else -1 - overlap = int(data['overlap']) if 'overlap' in data else 12 - channel = data['channel'] if 'channel' in data else "stereo" - sr_select = data['sr_select'] if 'sr_select' in data else "48000" - return decoder, struc_prompt, global_prompt, bpm, key, scale, model, custom_model, base_model, unique_prompts, text[0], text[1], text[2], text[3], text[4], text[5], text[6], text[7], text[8], text[9], repeat[0], repeat[1], repeat[2], repeat[3], repeat[4], repeat[5], repeat[6], repeat[7], repeat[8], repeat[9], audio_mode, duration, topk, topp, temperature, cfg_coef, seed, overlap, channel, sr_select - else: - with open(audio_path.name) as json_file: - data = json.load(json_file) - struc_prompt = (False if data['bpm'] == "none" else True) if 'bpm' in data else False - global_prompt = data['global_prompt'] if 'global_prompt' in data else "" - bpm = (120 if data['bpm'] == "none" else int(data['bpm'])) if 'bpm' in data else 120 - key = ("C" if data['key'] == "none" else data['key']) if 'key' in data else "C" - scale = ("Major" if data['scale'] == "none" else data['scale']) if 'scale' in data else "Major" - model = data['model'] if 'model' in data else "large" - custom_model = (data['custom_model'] if data['custom_model'] in get_available_models() else None) if 'custom_model' in data else None - base_model = data['base_model'] if 'base_model' in data else "medium" - decoder = data['decoder'] if 'decoder' in data else "Default" - if 'texts' not in data: - unique_prompts = 1 - text = ["", "", "", "", "", "", "", "", "", ""] - repeat = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] - else: - s = data['texts'] - s = re.findall(r"'(.*?)'", s) - text = [] - repeat = [] - i = 0 - for elem in s: - if elem.strip(): - if i == 0 or elem != s[i-1]: - text.append(elem) - repeat.append(1) - else: - repeat[-1] += 1 - i += 1 - text.extend([""] * (10 - len(text))) - repeat.extend([1] * (10 - len(repeat))) - unique_prompts = len([t for t in text if t]) - audio_mode = ("sample" if data['audio_mode'] == "none" else data['audio_mode']) if 'audio_mode' in data else "sample" - duration = int(data['duration']) if 'duration' in data else 10 - topk = float(data['topk']) if 'topk' in data else 250 - topp = float(data['topp']) if 'topp' in data else 0 - temperature = float(data['temperature']) if 'temperature' in data else 1.0 - cfg_coef = float(data['cfg_coef']) if 'cfg_coef' in data else 5.0 - seed = int(data['seed']) if 'seed' in data else -1 - overlap = int(data['overlap']) if 'overlap' in data else 12 - channel = data['channel'] if 'channel' in data else "stereo" - sr_select = data['sr_select'] if 'sr_select' in data else "48000" - return decoder, struc_prompt, global_prompt, bpm, key, scale, model, custom_model, base_model, unique_prompts, text[0], text[1], text[2], text[3], text[4], text[5], text[6], text[7], text[8], text[9], repeat[0], repeat[1], repeat[2], repeat[3], repeat[4], repeat[5], repeat[6], repeat[7], repeat[8], repeat[9], audio_mode, duration, topk, topp, temperature, cfg_coef, seed, overlap, channel, sr_select - else: - return "Default", False, "", 120, "C", "Major", "large", None, "medium", 1, "", "", "", "", "", "", "", "", "", "", 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, "sample", 10, 250, 0, 1.0, 5.0, -1, 12, "stereo", "48000" - else: - return "Default", False, "", 120, "C", "Major", "large", None, "medium", 1, "", "", "", "", "", "", "", "", "", "", 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, "sample", 10, 250, 0, 1.0, 5.0, -1, 12, "stereo", "48000" - - -def info_to_params_a(audio_path): - if audio_path is not None: - if audio_path.name.endswith(".wav") or audio_path.name.endswith(".mp4") or audio_path.name.endswith(".json"): - if not audio_path.name.endswith(".json"): - with taglib.File(audio_path.name, save_on_exit=False) as song: - if 'COMMENT' not in song.tags: - return "Default", False, "", 1, "", "", "", "", "", "", "", "", "", "", 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 10, 250, 0, 1.0, 5.0, -1, 12, "stereo", "48000" - json_string = song.tags['COMMENT'][0] - data = json.loads(json_string) - struc_prompt = (False if data['global_prompt'] == "" else True) if 'global_prompt' in data else False - global_prompt = data['global_prompt'] if 'global_prompt' in data else "" - decoder = data['decoder'] if 'decoder' in data else "Default" - if 'texts' not in data: - unique_prompts = 1 - text = ["", "", "", "", "", "", "", "", "", ""] - repeat = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] - else: - s = data['texts'] - s = re.findall(r"'(.*?)'", s) - text = [] - repeat = [] - i = 0 - for elem in s: - if elem.strip(): - if i == 0 or elem != s[i-1]: - text.append(elem) - repeat.append(1) - else: - repeat[-1] += 1 - i += 1 - text.extend([""] * (10 - len(text))) - repeat.extend([1] * (10 - len(repeat))) - unique_prompts = len([t for t in text if t]) - duration = int(data['duration']) if 'duration' in data else 10 - topk = float(data['topk']) if 'topk' in data else 250 - topp = float(data['topp']) if 'topp' in data else 0 - temperature = float(data['temperature']) if 'temperature' in data else 1.0 - cfg_coef = float(data['cfg_coef']) if 'cfg_coef' in data else 5.0 - seed = int(data['seed']) if 'seed' in data else -1 - overlap = int(data['overlap']) if 'overlap' in data else 12 - channel = data['channel'] if 'channel' in data else "stereo" - sr_select = data['sr_select'] if 'sr_select' in data else "48000" - return decoder, struc_prompt, global_prompt, unique_prompts, text[0], text[1], text[2], text[3], text[4], text[5], text[6], text[7], text[8], text[9], repeat[0], repeat[1], repeat[2], repeat[3], repeat[4], repeat[5], repeat[6], repeat[7], repeat[8], repeat[9], duration, topk, topp, temperature, cfg_coef, seed, overlap, channel, sr_select - else: - with open(audio_path.name) as json_file: - data = json.load(json_file) - struc_prompt = (False if data['global_prompt'] == "" else True) if 'global_prompt' in data else False - global_prompt = data['global_prompt'] if 'global_prompt' in data else "" - decoder = data['decoder'] if 'decoder' in data else "Default" - if 'texts' not in data: - unique_prompts = 1 - text = ["", "", "", "", "", "", "", "", "", ""] - repeat = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] - else: - s = data['texts'] - s = re.findall(r"'(.*?)'", s) - text = [] - repeat = [] - i = 0 - for elem in s: - if elem.strip(): - if i == 0 or elem != s[i-1]: - text.append(elem) - repeat.append(1) - else: - repeat[-1] += 1 - i += 1 - text.extend([""] * (10 - len(text))) - repeat.extend([1] * (10 - len(repeat))) - unique_prompts = len([t for t in text if t]) - duration = int(data['duration']) if 'duration' in data else 10 - topk = float(data['topk']) if 'topk' in data else 250 - topp = float(data['topp']) if 'topp' in data else 0 - temperature = float(data['temperature']) if 'temperature' in data else 1.0 - cfg_coef = float(data['cfg_coef']) if 'cfg_coef' in data else 5.0 - seed = int(data['seed']) if 'seed' in data else -1 - overlap = int(data['overlap']) if 'overlap' in data else 12 - channel = data['channel'] if 'channel' in data else "stereo" - sr_select = data['sr_select'] if 'sr_select' in data else "48000" - return decoder, struc_prompt, global_prompt, unique_prompts, text[0], text[1], text[2], text[3], text[4], text[5], text[6], text[7], text[8], text[9], repeat[0], repeat[1], repeat[2], repeat[3], repeat[4], repeat[5], repeat[6], repeat[7], repeat[8], repeat[9], duration, topk, topp, temperature, cfg_coef, seed, overlap, channel, sr_select - - else: - return "Default", False, "", 1, "", "", "", "", "", "", "", "", "", "", 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 10, 250, 0, 1.0, 5.0, -1, 12, "stereo", "48000" - else: - return "Default", False, "", 1, "", "", "", "", "", "", "", "", "", "", 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 10, 250, 0, 1.0, 5.0, -1, 12, "stereo", "48000" - - -def make_pseudo_stereo (filename, sr_select, pan, delay): - if pan: - temp = AudioSegment.from_wav(filename) - if sr_select != "32000": - temp = temp.set_frame_rate(int(sr_select)) - left = temp.pan(-0.5) - 5 - right = temp.pan(0.6) - 5 - temp = left.overlay(right, position=5) - temp.export(filename, format="wav") - if delay: - waveform, sample_rate = torchaudio.load(filename) # load mono WAV file - delay_seconds = 0.01 # set delay 10ms - delay_samples = int(delay_seconds * sample_rate) # Calculating delay value in number of samples - stereo_waveform = torch.stack([waveform[0], torch.cat((torch.zeros(delay_samples), waveform[0][:-delay_samples]))]) # Generate a stereo file with original mono audio and delayed version - torchaudio.save(filename, stereo_waveform, sample_rate) - return - - -def normalize_audio(audio_data): - audio_data = audio_data.astype(np.float32) - max_value = np.max(np.abs(audio_data)) - audio_data /= max_value - return audio_data - - -def load_diffusion(): - global MBD - if MBD is None: - print("loading MBD") - MBD = MultiBandDiffusion.get_mbd_musicgen() - - -def unload_diffusion(): - global MBD - if MBD is not None: - print("unloading MBD") - MBD = None - - -def _do_predictions(gen_type, texts, melodies, sample, trim_start, trim_end, duration, image, height, width, background, bar1, bar2, channel, sr_select, progress=False, **gen_kwargs): - if gen_type == "music": - maximum_size = 29.5 - elif gen_type == "audio": - maximum_size = 9.5 - cut_size = 0 - input_length = 0 - sampleP = None - if sample is not None: - globalSR, sampleM = sample[0], sample[1] - sampleM = normalize_audio(sampleM) - sampleM = torch.from_numpy(sampleM).t() - if sampleM.dim() == 1: - sampleM = sampleM.unsqueeze(0) - sample_length = sampleM.shape[sampleM.dim() - 1] / globalSR - if trim_start >= sample_length: - trim_start = sample_length - 0.5 - if trim_end >= sample_length: - trim_end = sample_length - 0.5 - if trim_start + trim_end >= sample_length: - tmp = sample_length - 0.5 - trim_start = tmp / 2 - trim_end = tmp / 2 - sampleM = sampleM[..., int(globalSR * trim_start):int(globalSR * (sample_length - trim_end))] - sample_length = sample_length - (trim_start + trim_end) - if sample_length > maximum_size: - cut_size = sample_length - maximum_size - sampleP = sampleM[..., :int(globalSR * cut_size)] - sampleM = sampleM[..., int(globalSR * cut_size):] - if sample_length >= duration: - duration = sample_length + 0.5 - input_length = sample_length - global MODEL - MODEL.set_generation_params(duration=(duration - cut_size), **gen_kwargs) - print("new batch", len(texts), texts, [None if m is None else (m[0], m[1].shape) for m in melodies], [None if sample is None else (sample[0], sample[1].shape)]) - be = time.time() - processed_melodies = [] - if gen_type == "music": - target_sr = 32000 - elif gen_type == "audio": - target_sr = 16000 - target_ac = 1 - - for melody in melodies: - if melody is None: - processed_melodies.append(None) - else: - sr, melody = melody[0], torch.from_numpy(melody[1]).to(MODEL.device).float().t() - if melody.dim() == 1: - melody = melody[None] - melody = melody[..., :int(sr * duration)] - melody = convert_audio(melody, sr, target_sr, target_ac) - processed_melodies.append(melody) - - if sample is not None: - if sampleP is None: - if gen_type == "music": - outputs = MODEL.generate_continuation( - prompt=sampleM, - prompt_sample_rate=globalSR, - descriptions=texts, - progress=progress, - return_tokens=USE_DIFFUSION - ) - elif gen_type == "audio": - outputs = MODEL.generate_continuation( - prompt=sampleM, - prompt_sample_rate=globalSR, - descriptions=texts, - progress=progress - ) - else: - if sampleP.dim() > 1: - sampleP = convert_audio(sampleP, globalSR, target_sr, target_ac) - sampleP = sampleP.to(MODEL.device).float().unsqueeze(0) - if gen_type == "music": - outputs = MODEL.generate_continuation( - prompt=sampleM, - prompt_sample_rate=globalSR, - descriptions=texts, - progress=progress, - return_tokens=USE_DIFFUSION - ) - elif gen_type == "audio": - outputs = MODEL.generate_continuation( - prompt=sampleM, - prompt_sample_rate=globalSR, - descriptions=texts, - progress=progress - ) - outputs = torch.cat([sampleP, outputs], 2) - - elif any(m is not None for m in processed_melodies): - if gen_type == "music": - outputs = MODEL.generate_with_chroma( - descriptions=texts, - melody_wavs=processed_melodies, - melody_sample_rate=target_sr, - progress=progress, - return_tokens=USE_DIFFUSION - ) - elif gen_type == "audio": - outputs = MODEL.generate_with_chroma( - descriptions=texts, - melody_wavs=processed_melodies, - melody_sample_rate=target_sr, - progress=progress - ) - else: - if gen_type == "music": - outputs = MODEL.generate(texts, progress=progress, return_tokens=USE_DIFFUSION) - elif gen_type == "audio": - outputs = MODEL.generate(texts, progress=progress) - - if USE_DIFFUSION: - print("outputs: " + str(outputs)) - outputs_diffusion = MBD.tokens_to_wav(outputs[1]) - outputs = torch.cat([outputs[0], outputs_diffusion], dim=0) - outputs = outputs.detach().cpu().float() - backups = outputs - if channel == "stereo": - outputs = convert_audio(outputs, target_sr, int(sr_select), 2) - elif channel == "mono" and sr_select != "32000": - outputs = convert_audio(outputs, target_sr, int(sr_select), 1) - out_files = [] - out_audios = [] - out_backup = [] - for output in outputs: - with NamedTemporaryFile("wb", suffix=".wav", delete=False) as file: - audio_write( - file.name, output, (MODEL.sample_rate if channel == "stereo effect" else int(sr_select)), strategy="loudness", - loudness_headroom_db=16, loudness_compressor=True, add_suffix=False) - - if channel == "stereo effect": - make_pseudo_stereo(file.name, sr_select, pan=True, delay=True); - - out_files.append(pool.submit(make_waveform, file.name, bg_image=image, bg_color=background, bars_color=(bar1, bar2), fg_alpha=1.0, bar_count=75, height=height, width=width)) - out_audios.append(file.name) - file_cleaner.add(file.name) - print(f'wav: {file.name}') - for backup in backups: - with NamedTemporaryFile("wb", suffix=".wav", delete=False) as file: - audio_write( - file.name, backup, MODEL.sample_rate, strategy="loudness", - loudness_headroom_db=16, loudness_compressor=True, add_suffix=False) - out_backup.append(file.name) - file_cleaner.add(file.name) - res = [out_file.result() for out_file in out_files] - res_audio = out_audios - res_backup = out_backup - for file in res: - file_cleaner.add(file) - print(f'video: {file}') - print("batch finished", len(texts), time.time() - be) - print("Tempfiles currently stored: ", len(file_cleaner.files)) - if MOVE_TO_CPU: - MODEL.to('cpu') - if UNLOAD_MODEL: - MODEL = None - torch.cuda.empty_cache() - torch.cuda.ipc_collect() - return res, res_audio, res_backup, input_length - - -def predict_batched(texts, melodies): - max_text_length = 512 - texts = [text[:max_text_length] for text in texts] - load_model('melody') - res = _do_predictions(texts, melodies, BATCHED_DURATION) - return res - - -def add_tags(filename, tags): - json_string = None - - data = { - "global_prompt": tags[0], - "bpm": tags[1], - "key": tags[2], - "scale": tags[3], - "texts": tags[4], - "duration": tags[5], - "overlap": tags[6], - "seed": tags[7], - "audio_mode": tags[8], - "input_length": tags[9], - "channel": tags[10], - "sr_select": tags[11], - "model": tags[12], - "custom_model": tags[13], - "base_model": tags[14], - "decoder": tags[15], - "topk": tags[16], - "topp": tags[17], - "temperature": tags[18], - "cfg_coef": tags[19], - "generator": tags[20], - "version": version - } - - json_string = json.dumps(data) - - if os.path.exists(filename): - with taglib.File(filename, save_on_exit=True) as song: - song.tags = {'COMMENT': json_string } - - json_file = open(tags[7] + '.json', 'w') - json_file.write(json_string) - json_file.close() - - return json_file.name; - - -def save_outputs(mp4, wav_tmp, tags, gen_type): - # mp4: .mp4 file name in root running folder of app.py - # wav_tmp: temporary wav file located in %TEMP% folder - # seed - used seed - # exanple BgnJtr4Pn1AJ.mp4, C:\Users\Alex\AppData\Local\Temp\tmp4ermrebs.wav, 195123182343465 - # procedure read generated .mp4 and wav files, rename it by using seed as name, - # and will store it to ./output/today_date/wav and ./output/today_date/mp4 folders. - # if file with same seed number already exist its make postfix in name like seed(n) - # where is n - consiqunce number 1-2-3-4 and so on - # then we store generated mp4 and wav into destination folders. - - current_date = datetime.now().strftime("%Y%m%d") - wav_directory = os.path.join(os.getcwd(), 'output', current_date, gen_type,'wav') - mp4_directory = os.path.join(os.getcwd(), 'output', current_date, gen_type,'mp4') - json_directory = os.path.join(os.getcwd(), 'output', current_date, gen_type,'json') - os.makedirs(wav_directory, exist_ok=True) - os.makedirs(mp4_directory, exist_ok=True) - os.makedirs(json_directory, exist_ok=True) - - filename = str(tags[7]) + '.wav' - target = os.path.join(wav_directory, filename) - counter = 1 - while os.path.exists(target): - filename = str(tags[7]) + f'({counter})' + '.wav' - target = os.path.join(wav_directory, filename) - counter += 1 - - shutil.copyfile(wav_tmp, target); # make copy of original file - json_file = add_tags(target, tags); - - wav_target=target; - target=target.replace('wav', 'mp4'); - mp4_target=target; - - mp4=r'./' +mp4; - shutil.copyfile(mp4, target); # make copy of original file - _ = add_tags(target, tags); - - target=target.replace('mp4', 'json'); # change the extension to json - json_target=target; # store the json target - - with open(target, 'w') as f: # open a writable file object - shutil.copyfile(json_file, target); # make copy of original file - - os.remove(json_file) - - return wav_target, mp4_target, json_target; - - -def clear_cash(): - # delete all temporary files genegated my system - current_date = datetime.now().date() - current_directory = os.getcwd() - files = glob.glob(os.path.join(current_directory, '*.mp4')) - for file in files: - creation_date = datetime.fromtimestamp(os.path.getctime(file)).date() - if creation_date == current_date: - os.remove(file) - - temp_directory = os.environ.get('TEMP') - files = glob.glob(os.path.join(temp_directory, 'tmp*.mp4')) - for file in files: - creation_date = datetime.fromtimestamp(os.path.getctime(file)).date() - if creation_date == current_date: - os.remove(file) - - files = glob.glob(os.path.join(temp_directory, 'tmp*.wav')) - for file in files: - creation_date = datetime.fromtimestamp(os.path.getctime(file)).date() - if creation_date == current_date: - os.remove(file) - - files = glob.glob(os.path.join(temp_directory, 'tmp*.png')) - for file in files: - creation_date = datetime.fromtimestamp(os.path.getctime(file)).date() - if creation_date == current_date: - os.remove(file) - return - - -def s2t(seconds, seconds2): - # convert seconds to time format - # seconds - time in seconds - # return time in format 00:00 - m, s = divmod(seconds, 60) - m2, s2 = divmod(seconds2, 60) - if seconds != 0 and seconds < seconds2: - s = s + 1 - return ("%02d:%02d - %02d:%02d" % (m, s, m2, s2)) - - -def calc_time(gen_type, s, duration, overlap, d0, d1, d2, d3, d4, d5, d6, d7, d8, d9): - # calculate the time of generation - # overlap - overlap in seconds - # d0-d9 - drag - # return time in seconds - d_amount = [int(d0), int(d1), int(d2), int(d3), int(d4), int(d5), int(d6), int(d7), int(d8), int(d9)] - calc = [] - tracks = [] - time = 0 - s = s - 1 - max_time = duration - max_limit = 0 - if gen_type == "music": - max_limit = 30 - elif gen_type == "audio": - max_limit = 10 - track_add = max_limit - overlap - tracks.append(max_limit + ((d_amount[0] - 1) * track_add)) - for i in range(1, 10): - tracks.append(d_amount[i] * track_add) - - if tracks[0] >= max_time or s == 0: - calc.append(s2t(time, max_time)) - time = max_time - else: - calc.append(s2t(time, tracks[0])) - time = tracks[0] - - for i in range(1, 10): - if time + tracks[i] >= max_time or i == s: - calc.append(s2t(time, max_time)) - time = max_time - else: - calc.append(s2t(time, time + tracks[i])) - time = time + tracks[i] - - return calc[0], calc[1], calc[2], calc[3], calc[4], calc[5], calc[6], calc[7], calc[8], calc[9] - - -def predict_full(gen_type, model, decoder, custom_model, base_model, prompt_amount, struc_prompt, bpm, key, scale, global_prompt, p0, p1, p2, p3, p4, p5, p6, p7, p8, p9, d0, d1, d2, d3, d4, d5, d6, d7, d8, d9, audio, mode, trim_start, trim_end, duration, topk, topp, temperature, cfg_coef, seed, overlap, image, height, width, background, bar1, bar2, channel, sr_select, progress=gr.Progress()): - global INTERRUPTING - global USE_DIFFUSION - INTERRUPTING = False - - if gen_type == "audio": - custom_model = None - base_model = "medium" - - if temperature < 0: - raise gr.Error("Temperature must be >= 0.") - if topk < 0: - raise gr.Error("Topk must be non-negative.") - if topp < 0: - raise gr.Error("Topp must be non-negative.") - - if trim_start < 0: - trim_start = 0 - if trim_end < 0: - trim_end = 0 - - topk = int(topk) - - if decoder == "MultiBand_Diffusion": - USE_DIFFUSION = True - load_diffusion() - else: - USE_DIFFUSION = False - unload_diffusion() - - if gen_type == "music": - model_shrt = model - model = "GrandaddyShmax/musicgen-" + model - elif gen_type == "audio": - model_shrt = model - model = "GrandaddyShmax/audiogen-" + model - base_model_shrt = base_model - base_model = "GrandaddyShmax/musicgen-" + base_model - - if MODEL is None or MODEL.name != (model): - load_model(model, custom_model, base_model, gen_type) - else: - if MOVE_TO_CPU: - MODEL.to('cuda') - - if seed < 0: - seed = random.randint(0, 0xffff_ffff_ffff) - torch.manual_seed(seed) - - def _progress(generated, to_generate): - progress((min(generated, to_generate), to_generate)) - if INTERRUPTING: - raise gr.Error("Interrupted.") - MODEL.set_custom_progress_callback(_progress) - - audio_mode = "none" - melody = None - sample = None - if audio: - audio_mode = mode - if mode == "sample": - sample = audio - elif mode == "melody": - melody = audio - - base_model = "none" if model != "custom" else base_model - custom_model = "none" if model != "custom" else custom_model - - text_cat = [p0, p1, p2, p3, p4, p5, p6, p7, p8, p9] - drag_cat = [d0, d1, d2, d3, d4, d5, d6, d7, d8, d9] - texts = [] - raw_texts = [] - ind = 0 - ind2 = 0 - while ind < prompt_amount: - for ind2 in range(int(drag_cat[ind])): - if not struc_prompt: - texts.append(text_cat[ind]) - global_prompt = "none" - bpm = "none" - key = "none" - scale = "none" - raw_texts.append(text_cat[ind]) - else: - if gen_type == "music": - bpm_str = str(bpm) + " bpm" - key_str = ", " + str(key) + " " + str(scale) - global_str = (", " + str(global_prompt)) if str(global_prompt) != "" else "" - elif gen_type == "audio": - bpm_str = "" - key_str = "" - global_str = (str(global_prompt)) if str(global_prompt) != "" else "" - texts_str = (", " + str(text_cat[ind])) if str(text_cat[ind]) != "" else "" - texts.append(bpm_str + key_str + global_str + texts_str) - raw_texts.append(text_cat[ind]) - ind2 = 0 - ind = ind + 1 - - outs, outs_audio, outs_backup, input_length = _do_predictions( - gen_type, [texts], [melody], sample, trim_start, trim_end, duration, image, height, width, background, bar1, bar2, channel, sr_select, progress=True, - top_k=topk, top_p=topp, temperature=temperature, cfg_coef=cfg_coef, extend_stride=MODEL.max_duration-overlap) - tags = [str(global_prompt), str(bpm), str(key), str(scale), str(raw_texts), str(duration), str(overlap), str(seed), str(audio_mode), str(input_length), str(channel), str(sr_select), str(model_shrt), str(custom_model), str(base_model_shrt), str(decoder), str(topk), str(topp), str(temperature), str(cfg_coef), str(gen_type)] - wav_target, mp4_target, json_target = save_outputs(outs[0], outs_audio[0], tags, gen_type); - # Removes the temporary files. - for out in outs: - os.remove(out) - for out in outs_audio: - os.remove(out) - - return mp4_target, wav_target, outs_backup[0], [mp4_target, wav_target, json_target], seed - - -max_textboxes = 10 - - -def get_available_models(): - return sorted([re.sub('.pt$', '', item.name) for item in list(Path('models/').glob('*')) if item.name.endswith('.pt')]) - - -def toggle_audio_src(choice): - if choice == "mic": - return gr.update(source="microphone", value=None, label="Microphone") - else: - return gr.update(source="upload", value=None, label="File") - - -def ui_full(launch_kwargs): - with gr.Blocks(title='AudioCraft Plus', theme=theme) as interface: - gr.Markdown( - """ - # AudioCraft Plus - v2.0.0a - - ### An All-in-One AudioCraft WebUI - - #### **Disclaimer:** This will not run on CPU only. Its best to clone this App and run on GPU instance! - **Alternatively**, you can run this for free on a google colab: - https://colab.research.google.com/github/camenduru/MusicGen-colab/blob/main/MusicGen_ClownOfMadness_plus_colab.ipynb - - **Or**, run this locally on your PC: - https://github.com/GrandaddyShmax/audiocraft_plus/tree/main - - Thanks to: facebookresearch, Camenduru, rkfg, oobabooga, AlexHK and GrandaddyShmax - """ - ) - with gr.Tab("MusicGen"): - gr.Markdown( - """ - ### MusicGen - """ - ) - with gr.Row(): - with gr.Column(): - with gr.Tab("Generation"): - with gr.Accordion("Structure Prompts", open=False): - with gr.Column(): - with gr.Row(): - struc_prompts = gr.Checkbox(label="Enable", value=False, interactive=True, container=False) - bpm = gr.Number(label="BPM", value=120, interactive=True, scale=1, precision=0) - key = gr.Dropdown(["C", "C#", "D", "D#", "E", "F", "F#", "G", "G#", "A", "Bb", "B"], label="Key", value="C", interactive=True) - scale = gr.Dropdown(["Major", "Minor"], label="Scale", value="Major", interactive=True) - with gr.Row(): - global_prompt = gr.Text(label="Global Prompt", interactive=True, scale=3) - with gr.Row(): - s = gr.Slider(1, max_textboxes, value=1, step=1, label="Prompts:", interactive=True, scale=2) - #s_mode = gr.Radio(["segmentation", "batch"], value="segmentation", interactive=True, scale=1, label="Generation Mode") - with gr.Column(): - textboxes = [] - prompts = [] - repeats = [] - calcs = [] - with gr.Row(): - text0 = gr.Text(label="Input Text", interactive=True, scale=4) - prompts.append(text0) - drag0 = gr.Number(label="Repeat", value=1, interactive=True, scale=1) - repeats.append(drag0) - calc0 = gr.Text(interactive=False, value="00:00 - 00:00", scale=1, label="Time") - calcs.append(calc0) - for i in range(max_textboxes): - with gr.Row(visible=False) as t: - text = gr.Text(label="Input Text", interactive=True, scale=3) - repeat = gr.Number(label="Repeat", minimum=1, value=1, interactive=True, scale=1) - calc = gr.Text(interactive=False, value="00:00 - 00:00", scale=1, label="Time") - textboxes.append(t) - prompts.append(text) - repeats.append(repeat) - calcs.append(calc) - to_calc = gr.Button("Calculate Timings", variant="secondary") - with gr.Row(): - duration = gr.Slider(minimum=1, maximum=300, value=10, step=1, label="Duration", interactive=True) - with gr.Row(): - overlap = gr.Slider(minimum=1, maximum=29, value=12, step=1, label="Overlap", interactive=True) - with gr.Row(): - seed = gr.Number(label="Seed", value=-1, scale=4, precision=0, interactive=True) - gr.Button('\U0001f3b2\ufe0f', scale=1).click(fn=lambda: -1, outputs=[seed], queue=False) - reuse_seed = gr.Button('\u267b\ufe0f', scale=1) - - with gr.Tab("Audio"): - with gr.Row(): - with gr.Column(): - input_type = gr.Radio(["file", "mic"], value="file", label="Input Type (optional)", interactive=True) - mode = gr.Radio(["melody", "sample"], label="Input Audio Mode (optional)", value="sample", interactive=True) - with gr.Row(): - trim_start = gr.Number(label="Trim Start", value=0, interactive=True) - trim_end = gr.Number(label="Trim End", value=0, interactive=True) - audio = gr.Audio(source="upload", type="numpy", label="Input Audio (optional)", interactive=True) - - with gr.Tab("Customization"): - with gr.Row(): - with gr.Column(): - background = gr.ColorPicker(value="#0f0f0f", label="background color", interactive=True, scale=0) - bar1 = gr.ColorPicker(value="#84cc16", label="bar color start", interactive=True, scale=0) - bar2 = gr.ColorPicker(value="#10b981", label="bar color end", interactive=True, scale=0) - with gr.Column(): - image = gr.Image(label="Background Image", type="filepath", interactive=True, scale=4) - with gr.Row(): - height = gr.Number(label="Height", value=512, interactive=True) - width = gr.Number(label="Width", value=768, interactive=True) - - with gr.Tab("Settings"): - with gr.Row(): - channel = gr.Radio(["mono", "stereo", "stereo effect"], label="Output Audio Channels", value="stereo", interactive=True, scale=1) - sr_select = gr.Dropdown(["11025", "16000", "22050", "24000", "32000", "44100", "48000"], label="Output Audio Sample Rate", value="48000", interactive=True) - with gr.Row(): - model = gr.Radio(["melody", "small", "medium", "large", "custom"], label="Model", value="large", interactive=True, scale=1) - with gr.Column(): - dropdown = gr.Dropdown(choices=get_available_models(), value=("No models found" if len(get_available_models()) < 1 else get_available_models()[0]), label='Custom Model (models folder)', elem_classes='slim-dropdown', interactive=True) - ui.create_refresh_button(dropdown, lambda: None, lambda: {'choices': get_available_models()}, 'refresh-button') - basemodel = gr.Radio(["small", "medium", "melody", "large"], label="Base Model", value="medium", interactive=True, scale=1) - with gr.Row(): - decoder = gr.Radio(["Default", "MultiBand_Diffusion"], label="Decoder", value="Default", interactive=True) - with gr.Row(): - topk = gr.Number(label="Top-k", value=250, interactive=True) - topp = gr.Number(label="Top-p", value=0, interactive=True) - temperature = gr.Number(label="Temperature", value=1.0, interactive=True) - cfg_coef = gr.Number(label="Classifier Free Guidance", value=3.0, interactive=True) - with gr.Row(): - submit = gr.Button("Generate", variant="primary") - # Adapted from https://github.com/rkfg/audiocraft/blob/long/app.py, MIT license. - _ = gr.Button("Interrupt").click(fn=interrupt, queue=False) - with gr.Column() as c: - with gr.Tab("Output"): - output = gr.Video(label="Generated Music", scale=0) - with gr.Row(): - audio_only = gr.Audio(type="numpy", label="Audio Only", interactive=False) - backup_only = gr.Audio(type="numpy", label="Backup Audio", interactive=False, visible=False) - send_audio = gr.Button("Send to Input Audio") - seed_used = gr.Number(label='Seed used', value=-1, interactive=False) - download = gr.File(label="Generated Files", interactive=False) - with gr.Tab("Wiki"): - gr.Markdown( - """ - - **[Generate (button)]:** - Generates the music with the given settings and prompts. - - - **[Interrupt (button)]:** - Stops the music generation as soon as it can, providing an incomplete output. - - --- - - ### Generation Tab: - - #### Structure Prompts: - - This feature helps reduce repetetive prompts by allowing you to set global prompts - that will be used for all prompt segments. - - - **[Structure Prompts (checkbox)]:** - Enable/Disable the structure prompts feature. - - - **[BPM (number)]:** - Beats per minute of the generated music. - - - **[Key (dropdown)]:** - The key of the generated music. - - - **[Scale (dropdown)]:** - The scale of the generated music. - - - **[Global Prompt (text)]:** - Here write the prompt that you wish to be used for all prompt segments. - - #### Multi-Prompt: - - This feature allows you to control the music, adding variation to different time segments. - You have up to 10 prompt segments. the first prompt will always be 30s long - the other prompts will be [30s - overlap]. - for example if the overlap is 10s, each prompt segment will be 20s. - - - **[Prompt Segments (number)]:** - Amount of unique prompt to generate throughout the music generation. - - - **[Prompt/Input Text (prompt)]:** - Here describe the music you wish the model to generate. - - - **[Repeat (number)]:** - Write how many times this prompt will repeat (instead of wasting another prompt segment on the same prompt). - - - **[Time (text)]:** - The time of the prompt segment. - - - **[Calculate Timings (button)]:** - Calculates the timings of the prompt segments. - - - **[Duration (number)]:** - How long you want the generated music to be (in seconds). - - - **[Overlap (number)]:** - How much each new segment will reference the previous segment (in seconds). - For example, if you choose 20s: Each new segment after the first one will reference the previous segment 20s - and will generate only 10s of new music. The model can only process 30s of music. - - - **[Seed (number)]:** - Your generated music id. If you wish to generate the exact same music, - place the exact seed with the exact prompts - (This way you can also extend specific song that was generated short). - - - **[Random Seed (button)]:** - Gives "-1" as a seed, which counts as a random seed. - - - **[Copy Previous Seed (button)]:** - Copies the seed from the output seed (if you don't feel like doing it manualy). - - --- - - ### Audio Tab: - - - **[Input Type (selection)]:** - `File` mode allows you to upload an audio file to use as input - `Mic` mode allows you to use your microphone as input - - - **[Input Audio Mode (selection)]:** - `Melody` mode only works with the melody model: it conditions the music generation to reference the melody - `Sample` mode works with any model: it gives a music sample to the model to generate its continuation. - - - **[Trim Start and Trim End (numbers)]:** - `Trim Start` set how much you'd like to trim the input audio from the start - `Trim End` same as the above but from the end - - - **[Input Audio (audio file)]:** - Input here the audio you wish to use with "melody" or "sample" mode. - - --- - - ### Customization Tab: - - - **[Background Color (color)]:** - Works only if you don't upload image. Color of the background of the waveform. - - - **[Bar Color Start (color)]:** - First color of the waveform bars. - - - **[Bar Color End (color)]:** - Second color of the waveform bars. - - - **[Background Image (image)]:** - Background image that you wish to be attached to the generated video along with the waveform. - - - **[Height and Width (numbers)]:** - Output video resolution, only works with image. - (minimum height and width is 256). - - --- - - ### Settings Tab: - - - **[Output Audio Channels (selection)]:** - With this you can select the amount of channels that you wish for your output audio. - `mono` is a straightforward single channel audio - `stereo` is a dual channel audio but it will sound more or less like mono - `stereo effect` this one is also dual channel but uses tricks to simulate a stereo audio. - - - **[Output Audio Sample Rate (dropdown)]:** - The output audio sample rate, the model default is 32000. - - - **[Model (selection)]:** - Here you can choose which model you wish to use: - `melody` model is based on the medium model with a unique feature that lets you use melody conditioning - `small` model is trained on 300M parameters - `medium` model is trained on 1.5B parameters - `large` model is trained on 3.3B parameters - `custom` model runs the custom model that you provided. - - - **[Custom Model (selection)]:** - This dropdown will show you models that are placed in the `models` folder - you must select `custom` in the model options in order to use it. - - - **[Refresh (button)]:** - Refreshes the dropdown list for custom model. - - - **[Base Model (selection)]:** - Choose here the model that your custom model is based on. - - - **[Decoder (selection)]:** - Choose here the decoder that you wish to use: - `Default` is the default decoder - `MultiBand_Diffusion` is a decoder that uses diffusion to generate the audio. - - - **[Top-k (number)]:** - is a parameter used in text generation models, including music generation models. It determines the number of most likely next tokens to consider at each step of the generation process. The model ranks all possible tokens based on their predicted probabilities, and then selects the top-k tokens from the ranked list. The model then samples from this reduced set of tokens to determine the next token in the generated sequence. A smaller value of k results in a more focused and deterministic output, while a larger value of k allows for more diversity in the generated music. - - - **[Top-p (number)]:** - also known as nucleus sampling or probabilistic sampling, is another method used for token selection during text generation. Instead of specifying a fixed number like top-k, top-p considers the cumulative probability distribution of the ranked tokens. It selects the smallest possible set of tokens whose cumulative probability exceeds a certain threshold (usually denoted as p). The model then samples from this set to choose the next token. This approach ensures that the generated output maintains a balance between diversity and coherence, as it allows for a varying number of tokens to be considered based on their probabilities. - - - **[Temperature (number)]:** - is a parameter that controls the randomness of the generated output. It is applied during the sampling process, where a higher temperature value results in more random and diverse outputs, while a lower temperature value leads to more deterministic and focused outputs. In the context of music generation, a higher temperature can introduce more variability and creativity into the generated music, but it may also lead to less coherent or structured compositions. On the other hand, a lower temperature can produce more repetitive and predictable music. - - - **[Classifier Free Guidance (number)]:** - refers to a technique used in some music generation models where a separate classifier network is trained to provide guidance or control over the generated music. This classifier is trained on labeled data to recognize specific musical characteristics or styles. During the generation process, the output of the generator model is evaluated by the classifier, and the generator is encouraged to produce music that aligns with the desired characteristics or style. This approach allows for more fine-grained control over the generated music, enabling users to specify certain attributes they want the model to capture. - """ - ) - with gr.Tab("AudioGen"): - gr.Markdown( - """ - ### AudioGen - """ - ) - with gr.Row(): - with gr.Column(): - with gr.Tab("Generation"): - with gr.Accordion("Structure Prompts", open=False): - with gr.Row(): - struc_prompts_a = gr.Checkbox(label="Enable", value=False, interactive=True, container=False) - global_prompt_a = gr.Text(label="Global Prompt", interactive=True, scale=3) - with gr.Row(): - s_a = gr.Slider(1, max_textboxes, value=1, step=1, label="Prompts:", interactive=True, scale=2) - with gr.Column(): - textboxes_a = [] - prompts_a = [] - repeats_a = [] - calcs_a = [] - with gr.Row(): - text0_a = gr.Text(label="Input Text", interactive=True, scale=4) - prompts_a.append(text0_a) - drag0_a = gr.Number(label="Repeat", value=1, interactive=True, scale=1) - repeats_a.append(drag0_a) - calc0_a = gr.Text(interactive=False, value="00:00 - 00:00", scale=1, label="Time") - calcs_a.append(calc0_a) - for i in range(max_textboxes): - with gr.Row(visible=False) as t_a: - text_a = gr.Text(label="Input Text", interactive=True, scale=3) - repeat_a = gr.Number(label="Repeat", minimum=1, value=1, interactive=True, scale=1) - calc_a = gr.Text(interactive=False, value="00:00 - 00:00", scale=1, label="Time") - textboxes_a.append(t_a) - prompts_a.append(text_a) - repeats_a.append(repeat_a) - calcs_a.append(calc_a) - to_calc_a = gr.Button("Calculate Timings", variant="secondary") - with gr.Row(): - duration_a = gr.Slider(minimum=1, maximum=300, value=10, step=1, label="Duration", interactive=True) - with gr.Row(): - overlap_a = gr.Slider(minimum=1, maximum=9, value=2, step=1, label="Overlap", interactive=True) - with gr.Row(): - seed_a = gr.Number(label="Seed", value=-1, scale=4, precision=0, interactive=True) - gr.Button('\U0001f3b2\ufe0f', scale=1).click(fn=lambda: -1, outputs=[seed_a], queue=False) - reuse_seed_a = gr.Button('\u267b\ufe0f', scale=1) - - with gr.Tab("Audio"): - with gr.Row(): - with gr.Column(): - input_type_a = gr.Radio(["file", "mic"], value="file", label="Input Type (optional)", interactive=True) - mode_a = gr.Radio(["sample"], label="Input Audio Mode (optional)", value="sample", interactive=False, visible=False) - with gr.Row(): - trim_start_a = gr.Number(label="Trim Start", value=0, interactive=True) - trim_end_a = gr.Number(label="Trim End", value=0, interactive=True) - audio_a = gr.Audio(source="upload", type="numpy", label="Input Audio (optional)", interactive=True) - - with gr.Tab("Customization"): - with gr.Row(): - with gr.Column(): - background_a = gr.ColorPicker(value="#0f0f0f", label="background color", interactive=True, scale=0) - bar1_a = gr.ColorPicker(value="#84cc16", label="bar color start", interactive=True, scale=0) - bar2_a = gr.ColorPicker(value="#10b981", label="bar color end", interactive=True, scale=0) - with gr.Column(): - image_a = gr.Image(label="Background Image", type="filepath", interactive=True, scale=4) - with gr.Row(): - height_a = gr.Number(label="Height", value=512, interactive=True) - width_a = gr.Number(label="Width", value=768, interactive=True) - - with gr.Tab("Settings"): - with gr.Row(): - channel_a = gr.Radio(["mono", "stereo", "stereo effect"], label="Output Audio Channels", value="stereo", interactive=True, scale=1) - sr_select_a = gr.Dropdown(["11025", "16000", "22050", "24000", "32000", "44100", "48000"], label="Output Audio Sample Rate", value="48000", interactive=True) - with gr.Row(): - model_a = gr.Radio(["medium"], label="Model", value="medium", interactive=False, visible=False) - decoder_a = gr.Radio(["Default"], label="Decoder", value="Default", interactive=False, visible=False) - with gr.Row(): - topk_a = gr.Number(label="Top-k", value=250, interactive=True) - topp_a = gr.Number(label="Top-p", value=0, interactive=True) - temperature_a = gr.Number(label="Temperature", value=1.0, interactive=True) - cfg_coef_a = gr.Number(label="Classifier Free Guidance", value=3.0, interactive=True) - with gr.Row(): - submit_a = gr.Button("Generate", variant="primary") - _ = gr.Button("Interrupt").click(fn=interrupt, queue=False) - with gr.Column(): - with gr.Tab("Output"): - output_a = gr.Video(label="Generated Audio", scale=0) - with gr.Row(): - audio_only_a = gr.Audio(type="numpy", label="Audio Only", interactive=False) - backup_only_a = gr.Audio(type="numpy", label="Backup Audio", interactive=False, visible=False) - send_audio_a = gr.Button("Send to Input Audio") - seed_used_a = gr.Number(label='Seed used', value=-1, interactive=False) - download_a = gr.File(label="Generated Files", interactive=False) - with gr.Tab("Wiki"): - gr.Markdown( - """ - - **[Generate (button)]:** - Generates the audio with the given settings and prompts. - - - **[Interrupt (button)]:** - Stops the audio generation as soon as it can, providing an incomplete output. - - --- - - ### Generation Tab: - - #### Structure Prompts: - - This feature helps reduce repetetive prompts by allowing you to set global prompts - that will be used for all prompt segments. - - - **[Structure Prompts (checkbox)]:** - Enable/Disable the structure prompts feature. - - - **[Global Prompt (text)]:** - Here write the prompt that you wish to be used for all prompt segments. - - #### Multi-Prompt: - - This feature allows you to control the audio, adding variation to different time segments. - You have up to 10 prompt segments. the first prompt will always be 10s long - the other prompts will be [10s - overlap]. - for example if the overlap is 2s, each prompt segment will be 8s. - - - **[Prompt Segments (number)]:** - Amount of unique prompt to generate throughout the audio generation. - - - **[Prompt/Input Text (prompt)]:** - Here describe the audio you wish the model to generate. - - - **[Repeat (number)]:** - Write how many times this prompt will repeat (instead of wasting another prompt segment on the same prompt). - - - **[Time (text)]:** - The time of the prompt segment. - - - **[Calculate Timings (button)]:** - Calculates the timings of the prompt segments. - - - **[Duration (number)]:** - How long you want the generated audio to be (in seconds). - - - **[Overlap (number)]:** - How much each new segment will reference the previous segment (in seconds). - For example, if you choose 2s: Each new segment after the first one will reference the previous segment 2s - and will generate only 8s of new audio. The model can only process 10s of music. - - - **[Seed (number)]:** - Your generated audio id. If you wish to generate the exact same audio, - place the exact seed with the exact prompts - (This way you can also extend specific song that was generated short). - - - **[Random Seed (button)]:** - Gives "-1" as a seed, which counts as a random seed. - - - **[Copy Previous Seed (button)]:** - Copies the seed from the output seed (if you don't feel like doing it manualy). - - --- - - ### Audio Tab: - - - **[Input Type (selection)]:** - `File` mode allows you to upload an audio file to use as input - `Mic` mode allows you to use your microphone as input - - - **[Trim Start and Trim End (numbers)]:** - `Trim Start` set how much you'd like to trim the input audio from the start - `Trim End` same as the above but from the end - - - **[Input Audio (audio file)]:** - Input here the audio you wish to use. - - --- - - ### Customization Tab: - - - **[Background Color (color)]:** - Works only if you don't upload image. Color of the background of the waveform. - - - **[Bar Color Start (color)]:** - First color of the waveform bars. - - - **[Bar Color End (color)]:** - Second color of the waveform bars. - - - **[Background Image (image)]:** - Background image that you wish to be attached to the generated video along with the waveform. - - - **[Height and Width (numbers)]:** - Output video resolution, only works with image. - (minimum height and width is 256). - - --- - - ### Settings Tab: - - - **[Output Audio Channels (selection)]:** - With this you can select the amount of channels that you wish for your output audio. - `mono` is a straightforward single channel audio - `stereo` is a dual channel audio but it will sound more or less like mono - `stereo effect` this one is also dual channel but uses tricks to simulate a stereo audio. - - - **[Output Audio Sample Rate (dropdown)]:** - The output audio sample rate, the model default is 32000. - - - **[Top-k (number)]:** - is a parameter used in text generation models, including music generation models. It determines the number of most likely next tokens to consider at each step of the generation process. The model ranks all possible tokens based on their predicted probabilities, and then selects the top-k tokens from the ranked list. The model then samples from this reduced set of tokens to determine the next token in the generated sequence. A smaller value of k results in a more focused and deterministic output, while a larger value of k allows for more diversity in the generated music. - - - **[Top-p (number)]:** - also known as nucleus sampling or probabilistic sampling, is another method used for token selection during text generation. Instead of specifying a fixed number like top-k, top-p considers the cumulative probability distribution of the ranked tokens. It selects the smallest possible set of tokens whose cumulative probability exceeds a certain threshold (usually denoted as p). The model then samples from this set to choose the next token. This approach ensures that the generated output maintains a balance between diversity and coherence, as it allows for a varying number of tokens to be considered based on their probabilities. - - - **[Temperature (number)]:** - is a parameter that controls the randomness of the generated output. It is applied during the sampling process, where a higher temperature value results in more random and diverse outputs, while a lower temperature value leads to more deterministic and focused outputs. In the context of music generation, a higher temperature can introduce more variability and creativity into the generated music, but it may also lead to less coherent or structured compositions. On the other hand, a lower temperature can produce more repetitive and predictable music. - - - **[Classifier Free Guidance (number)]:** - refers to a technique used in some music generation models where a separate classifier network is trained to provide guidance or control over the generated music. This classifier is trained on labeled data to recognize specific musical characteristics or styles. During the generation process, the output of the generator model is evaluated by the classifier, and the generator is encouraged to produce music that aligns with the desired characteristics or style. This approach allows for more fine-grained control over the generated music, enabling users to specify certain attributes they want the model to capture. - """ - ) - with gr.Tab("Audio Info"): - gr.Markdown( - """ - ### Audio Info - """ - ) - with gr.Row(): - with gr.Column(): - in_audio = gr.File(type="file", label="Input Any Audio", interactive=True) - with gr.Row(): - send_gen = gr.Button("Send to MusicGen", variant="primary") - send_gen_a = gr.Button("Send to AudioGen", variant="primary") - with gr.Column(): - info = gr.Textbox(label="Audio Info", lines=10, interactive=False) - with gr.Tab("Changelog"): - gr.Markdown( - """ - ## Changelog: - - ### v2.0.0a - - - Forgot to move all the update to app.py from temp2.py... oops - - - - ### v2.0.0 - - - Changed name from MusicGen+ to AudioCraft Plus - - - Complete overhaul of the repo "backend" with the latest changes from the main facebookresearch repo - - - Added a new decoder: MultiBand_Diffusion - - - Added AudioGen: a new tab for generating audio - - - - ### v1.2.8c - - - Implemented Reverse compatibility for audio info tab with previous versions - - - - ### v1.2.8b - - - Fixed the error when loading default models - - - - ### v1.2.8a - - - Adapted Audio info tab to work with the new structure prompts feature - - - Now custom models actually work, make sure you select the correct base model - - - - ### v1.2.8 - - - Now you will also recieve json file with metadata of generated audio - - - Added error messages in Audio Info tab - - - Added structure prompts: you can select bpm, key and global prompt for all prompts - - - Added time display next to each prompt, can be calculated with "Calculate Timings" button - - - - ### v1.2.7 - - - When sending generated audio to Input Audio, it will send a backup audio with default settings - (best for continuos generation) - - - Added Metadata to generated audio (Thanks to AlexHK ♥) - - - Added Audio Info tab that will display the metadata of the input audio - - - Added "send to Text2Audio" button in Audio Info tab - - - Generated audio is now stored in the "output" folder (Thanks to AlexHK ♥) - - - Added an output area with generated files and download buttons - - - Enhanced Stereo effect (Thanks to AlexHK ♥) - - - - ### v1.2.6 - - - Added option to generate in stereo (instead of only mono) - - - Added dropdown for selecting output sample rate (model default is 32000) - - - - ### v1.2.5a - - - Added file cleaner (This comes from the main facebookresearch repo) - - - Reorganized a little, moved audio to a seperate tab - - - - ### v1.2.5 - - - Gave a unique lime theme to the webui - - - Added additional output for audio only - - - Added button to send generated audio to Input Audio - - - Added option to trim Input Audio - - - - ### v1.2.4 - - - Added mic input (This comes from the main facebookresearch repo) - - - - ### v1.2.3 - - - Added option to change video size to fit the image you upload - - - - ### v1.2.2 - - - Added Wiki, Changelog and About tabs - - - - ### v1.2.1 - - - Added tabs and organized the entire interface - - - Added option to attach image to the output video - - - Added option to load fine-tuned models (Yet to be tested) - - - - ### v1.2.0 - - - Added Multi-Prompt - - - - ### v1.1.3 - - - Added customization options for generated waveform - - - - ### v1.1.2 - - - Removed sample length limit: now you can input audio of any length as music sample - - - - ### v1.1.1 - - - Improved music sample audio quality when using music continuation - - - - ### v1.1.0 - - - Rebuilt the repo on top of the latest structure of the main MusicGen repo - - - Improved Music continuation feature - - - - ### v1.0.0 - Stable Version - - - Added Music continuation - """ - ) - with gr.Tab("About"): - gen_type = gr.Text(value="music", interactive=False, visible=False) - gen_type_a = gr.Text(value="audio", interactive=False, visible=False) - gr.Markdown( - """ - This is your private demo for [MusicGen](https://github.com/facebookresearch/audiocraft), a simple and controllable model for music generation - presented at: ["Simple and Controllable Music Generation"](https://huggingface.co/papers/2306.05284) - - ## MusicGen+ is an extended version of the original MusicGen by facebookresearch. - - ### Repo: https://github.com/GrandaddyShmax/audiocraft_plus/tree/plus - - --- - - ### This project was possible thanks to: - - #### GrandaddyShmax - https://github.com/GrandaddyShmax - - #### Camenduru - https://github.com/camenduru - - #### rkfg - https://github.com/rkfg - - #### oobabooga - https://github.com/oobabooga - - #### AlexHK - https://github.com/alanhk147 - """ - ) - - send_gen.click(info_to_params, inputs=[in_audio], outputs=[decoder, struc_prompts, global_prompt, bpm, key, scale, model, dropdown, basemodel, s, prompts[0], prompts[1], prompts[2], prompts[3], prompts[4], prompts[5], prompts[6], prompts[7], prompts[8], prompts[9], repeats[0], repeats[1], repeats[2], repeats[3], repeats[4], repeats[5], repeats[6], repeats[7], repeats[8], repeats[9], mode, duration, topk, topp, temperature, cfg_coef, seed, overlap, channel, sr_select], queue=False) - reuse_seed.click(fn=lambda x: x, inputs=[seed_used], outputs=[seed], queue=False) - send_audio.click(fn=lambda x: x, inputs=[backup_only], outputs=[audio], queue=False) - submit.click(predict_full, inputs=[gen_type, model, decoder, dropdown, basemodel, s, struc_prompts, bpm, key, scale, global_prompt, prompts[0], prompts[1], prompts[2], prompts[3], prompts[4], prompts[5], prompts[6], prompts[7], prompts[8], prompts[9], repeats[0], repeats[1], repeats[2], repeats[3], repeats[4], repeats[5], repeats[6], repeats[7], repeats[8], repeats[9], audio, mode, trim_start, trim_end, duration, topk, topp, temperature, cfg_coef, seed, overlap, image, height, width, background, bar1, bar2, channel, sr_select], outputs=[output, audio_only, backup_only, download, seed_used]) - input_type.change(toggle_audio_src, input_type, [audio], queue=False, show_progress=False) - to_calc.click(calc_time, inputs=[gen_type, s, duration, overlap, repeats[0], repeats[1], repeats[2], repeats[3], repeats[4], repeats[5], repeats[6], repeats[7], repeats[8], repeats[9]], outputs=[calcs[0], calcs[1], calcs[2], calcs[3], calcs[4], calcs[5], calcs[6], calcs[7], calcs[8], calcs[9]], queue=False) - - send_gen_a.click(info_to_params_a, inputs=[in_audio], outputs=[decoder_a, struc_prompts_a, global_prompt_a, s_a, prompts_a[0], prompts_a[1], prompts_a[2], prompts_a[3], prompts_a[4], prompts_a[5], prompts_a[6], prompts_a[7], prompts_a[8], prompts_a[9], repeats_a[0], repeats_a[1], repeats_a[2], repeats_a[3], repeats_a[4], repeats_a[5], repeats_a[6], repeats_a[7], repeats_a[8], repeats_a[9], duration_a, topk_a, topp_a, temperature_a, cfg_coef_a, seed_a, overlap_a, channel_a, sr_select_a], queue=False) - reuse_seed_a.click(fn=lambda x: x, inputs=[seed_used_a], outputs=[seed_a], queue=False) - send_audio_a.click(fn=lambda x: x, inputs=[backup_only_a], outputs=[audio_a], queue=False) - submit_a.click(predict_full, inputs=[gen_type_a, model_a, decoder_a, dropdown, basemodel, s_a, struc_prompts_a, bpm, key, scale, global_prompt_a, prompts_a[0], prompts_a[1], prompts_a[2], prompts_a[3], prompts_a[4], prompts_a[5], prompts_a[6], prompts_a[7], prompts_a[8], prompts_a[9], repeats_a[0], repeats_a[1], repeats_a[2], repeats_a[3], repeats_a[4], repeats_a[5], repeats_a[6], repeats_a[7], repeats_a[8], repeats_a[9], audio_a, mode_a, trim_start_a, trim_end_a, duration_a, topk_a, topp_a, temperature_a, cfg_coef_a, seed_a, overlap_a, image_a, height_a, width_a, background_a, bar1_a, bar2_a, channel_a, sr_select_a], outputs=[output_a, audio_only_a, backup_only_a, download_a, seed_used_a]) - input_type_a.change(toggle_audio_src, input_type_a, [audio_a], queue=False, show_progress=False) - to_calc_a.click(calc_time, inputs=[gen_type_a, s_a, duration_a, overlap_a, repeats_a[0], repeats_a[1], repeats_a[2], repeats_a[3], repeats_a[4], repeats_a[5], repeats_a[6], repeats_a[7], repeats_a[8], repeats_a[9]], outputs=[calcs_a[0], calcs_a[1], calcs_a[2], calcs_a[3], calcs_a[4], calcs_a[5], calcs_a[6], calcs_a[7], calcs_a[8], calcs_a[9]], queue=False) - - in_audio.change(get_audio_info, in_audio, outputs=[info]) - - def variable_outputs(k): - k = int(k) - 1 - return [gr.Textbox.update(visible=True)]*k + [gr.Textbox.update(visible=False)]*(max_textboxes-k) - def get_size(image): - if image is not None: - img = Image.open(image) - img_height = img.height - img_width = img.width - if (img_height%2) != 0: - img_height = img_height + 1 - if (img_width%2) != 0: - img_width = img_width + 1 - return img_height, img_width - else: - return 512, 768 - - image.change(get_size, image, outputs=[height, width]) - image_a.change(get_size, image_a, outputs=[height_a, width_a]) - s.change(variable_outputs, s, textboxes) - s_a.change(variable_outputs, s_a, textboxes_a) - interface.queue().launch(**launch_kwargs) - - -def ui_batched(launch_kwargs): - with gr.Blocks() as demo: - gr.Markdown( - """ - # MusicGen - - This is the demo for [MusicGen](https://github.com/facebookresearch/audiocraft), - a simple and controllable model for music generation - presented at: ["Simple and Controllable Music Generation"](https://huggingface.co/papers/2306.05284). -
- - Duplicate Space - for longer sequences, more control and no queue.

- """ - ) - with gr.Row(): - with gr.Column(): - with gr.Row(): - text = gr.Text(label="Describe your music", lines=2, interactive=True) - with gr.Column(): - radio = gr.Radio(["file", "mic"], value="file", - label="Condition on a melody (optional) File or Mic") - melody = gr.Audio(source="upload", type="numpy", label="File", - interactive=True, elem_id="melody-input") - with gr.Row(): - submit = gr.Button("Generate") - with gr.Column(): - output = gr.Video(label="Generated Music") - audio_output = gr.Audio(label="Generated Music (wav)", type='filepath') - submit.click(predict_batched, inputs=[text, melody], - outputs=[output, audio_output], batch=True, max_batch_size=MAX_BATCH_SIZE) - radio.change(toggle_audio_src, radio, [melody], queue=False, show_progress=False) - gr.Examples( - fn=predict_batched, - examples=[ - [ - "An 80s driving pop song with heavy drums and synth pads in the background", - "./assets/bach.mp3", - ], - [ - "A cheerful country song with acoustic guitars", - "./assets/bolero_ravel.mp3", - ], - [ - "90s rock song with electric guitar and heavy drums", - None, - ], - [ - "a light and cheerly EDM track, with syncopated drums, aery pads, and strong emotions bpm: 130", - "./assets/bach.mp3", - ], - [ - "lofi slow bpm electro chill with organic samples", - None, - ], - ], - inputs=[text, melody], - outputs=[output] - ) - gr.Markdown(""" - ### More details - - The model will generate 12 seconds of audio based on the description you provided. - You can optionally provide a reference audio from which a broad melody will be extracted. - The model will then try to follow both the description and melody provided. - All samples are generated with the `melody` model. - - You can also use your own GPU or a Google Colab by following the instructions on our repo. - - See [github.com/facebookresearch/audiocraft](https://github.com/facebookresearch/audiocraft) - for more details. - """) - - demo.queue(max_size=8 * 4).launch(**launch_kwargs) - - -if __name__ == "__main__": - parser = argparse.ArgumentParser() - parser.add_argument( - '--listen', - type=str, - default='0.0.0.0' if 'SPACE_ID' in os.environ else '127.0.0.1', - help='IP to listen on for connections to Gradio', - ) - parser.add_argument( - '--username', type=str, default='', help='Username for authentication' - ) - parser.add_argument( - '--password', type=str, default='', help='Password for authentication' - ) - parser.add_argument( - '--server_port', - type=int, - default=0, - help='Port to run the server listener on', - ) - parser.add_argument( - '--inbrowser', action='store_true', help='Open in browser' - ) - parser.add_argument( - '--share', action='store_true', help='Share the gradio UI' - ) - parser.add_argument( - '--unload_model', action='store_true', help='Unload the model after every generation to save GPU memory' - ) - - parser.add_argument( - '--unload_to_cpu', action='store_true', help='Move the model to main RAM after every generation to save GPU memory but reload faster than after full unload (see above)' - ) - - parser.add_argument( - '--cache', action='store_true', help='Cache models in RAM to quickly switch between them' - ) - - args = parser.parse_args() - UNLOAD_MODEL = args.unload_model - MOVE_TO_CPU = args.unload_to_cpu - if args.cache: - MODELS = {} - - launch_kwargs = {} - launch_kwargs['server_name'] = args.listen - - if args.username and args.password: - launch_kwargs['auth'] = (args.username, args.password) - if args.server_port: - launch_kwargs['server_port'] = args.server_port - if args.inbrowser: - launch_kwargs['inbrowser'] = args.inbrowser - if args.share: - launch_kwargs['share'] = args.share - - # Show the interface - if IS_BATCHED: - global USE_DIFFUSION - USE_DIFFUSION = False - ui_batched(launch_kwargs) - else: - ui_full(launch_kwargs) \ No newline at end of file diff --git a/spaces/AIGC-Audio/AudioGPT/NeuralSeq/modules/parallel_wavegan/models/source.py b/spaces/AIGC-Audio/AudioGPT/NeuralSeq/modules/parallel_wavegan/models/source.py deleted file mode 100644 index f2a006e53c0e2194036fd08ea9d6ed4d9a10d6cf..0000000000000000000000000000000000000000 --- a/spaces/AIGC-Audio/AudioGPT/NeuralSeq/modules/parallel_wavegan/models/source.py +++ /dev/null @@ -1,538 +0,0 @@ -import torch -import numpy as np -import sys -import torch.nn.functional as torch_nn_func - - -class SineGen(torch.nn.Module): - """ Definition of sine generator - SineGen(samp_rate, harmonic_num = 0, - sine_amp = 0.1, noise_std = 0.003, - voiced_threshold = 0, - flag_for_pulse=False) - - samp_rate: sampling rate in Hz - harmonic_num: number of harmonic overtones (default 0) - sine_amp: amplitude of sine-wavefrom (default 0.1) - noise_std: std of Gaussian noise (default 0.003) - voiced_thoreshold: F0 threshold for U/V classification (default 0) - flag_for_pulse: this SinGen is used inside PulseGen (default False) - - Note: when flag_for_pulse is True, the first time step of a voiced - segment is always sin(np.pi) or cos(0) - """ - - def __init__(self, samp_rate, harmonic_num=0, - sine_amp=0.1, noise_std=0.003, - voiced_threshold=0, - flag_for_pulse=False): - super(SineGen, self).__init__() - self.sine_amp = sine_amp - self.noise_std = noise_std - self.harmonic_num = harmonic_num - self.dim = self.harmonic_num + 1 - self.sampling_rate = samp_rate - self.voiced_threshold = voiced_threshold - self.flag_for_pulse = flag_for_pulse - - def _f02uv(self, f0): - # generate uv signal - uv = torch.ones_like(f0) - uv = uv * (f0 > self.voiced_threshold) - return uv - - def _f02sine(self, f0_values): - """ f0_values: (batchsize, length, dim) - where dim indicates fundamental tone and overtones - """ - # convert to F0 in rad. The interger part n can be ignored - # because 2 * np.pi * n doesn't affect phase - rad_values = (f0_values / self.sampling_rate) % 1 - - # initial phase noise (no noise for fundamental component) - rand_ini = torch.rand(f0_values.shape[0], f0_values.shape[2], \ - device=f0_values.device) - rand_ini[:, 0] = 0 - rad_values[:, 0, :] = rad_values[:, 0, :] + rand_ini - - # instantanouse phase sine[t] = sin(2*pi \sum_i=1 ^{t} rad) - if not self.flag_for_pulse: - # for normal case - - # To prevent torch.cumsum numerical overflow, - # it is necessary to add -1 whenever \sum_k=1^n rad_value_k > 1. - # Buffer tmp_over_one_idx indicates the time step to add -1. - # This will not change F0 of sine because (x-1) * 2*pi = x * 2*pi - tmp_over_one = torch.cumsum(rad_values, 1) % 1 - tmp_over_one_idx = (tmp_over_one[:, 1:, :] - - tmp_over_one[:, :-1, :]) < 0 - cumsum_shift = torch.zeros_like(rad_values) - cumsum_shift[:, 1:, :] = tmp_over_one_idx * -1.0 - - sines = torch.sin(torch.cumsum(rad_values + cumsum_shift, dim=1) - * 2 * np.pi) - else: - # If necessary, make sure that the first time step of every - # voiced segments is sin(pi) or cos(0) - # This is used for pulse-train generation - - # identify the last time step in unvoiced segments - uv = self._f02uv(f0_values) - uv_1 = torch.roll(uv, shifts=-1, dims=1) - uv_1[:, -1, :] = 1 - u_loc = (uv < 1) * (uv_1 > 0) - - # get the instantanouse phase - tmp_cumsum = torch.cumsum(rad_values, dim=1) - # different batch needs to be processed differently - for idx in range(f0_values.shape[0]): - temp_sum = tmp_cumsum[idx, u_loc[idx, :, 0], :] - temp_sum[1:, :] = temp_sum[1:, :] - temp_sum[0:-1, :] - # stores the accumulation of i.phase within - # each voiced segments - tmp_cumsum[idx, :, :] = 0 - tmp_cumsum[idx, u_loc[idx, :, 0], :] = temp_sum - - # rad_values - tmp_cumsum: remove the accumulation of i.phase - # within the previous voiced segment. - i_phase = torch.cumsum(rad_values - tmp_cumsum, dim=1) - - # get the sines - sines = torch.cos(i_phase * 2 * np.pi) - return sines - - def forward(self, f0): - """ sine_tensor, uv = forward(f0) - input F0: tensor(batchsize=1, length, dim=1) - f0 for unvoiced steps should be 0 - output sine_tensor: tensor(batchsize=1, length, dim) - output uv: tensor(batchsize=1, length, 1) - """ - with torch.no_grad(): - f0_buf = torch.zeros(f0.shape[0], f0.shape[1], self.dim, - device=f0.device) - # fundamental component - f0_buf[:, :, 0] = f0[:, :, 0] - for idx in np.arange(self.harmonic_num): - # idx + 2: the (idx+1)-th overtone, (idx+2)-th harmonic - f0_buf[:, :, idx + 1] = f0_buf[:, :, 0] * (idx + 2) - - # generate sine waveforms - sine_waves = self._f02sine(f0_buf) * self.sine_amp - - # generate uv signal - # uv = torch.ones(f0.shape) - # uv = uv * (f0 > self.voiced_threshold) - uv = self._f02uv(f0) - - # noise: for unvoiced should be similar to sine_amp - # std = self.sine_amp/3 -> max value ~ self.sine_amp - # . for voiced regions is self.noise_std - noise_amp = uv * self.noise_std + (1 - uv) * self.sine_amp / 3 - noise = noise_amp * torch.randn_like(sine_waves) - - # first: set the unvoiced part to 0 by uv - # then: additive noise - sine_waves = sine_waves * uv + noise - return sine_waves, uv, noise - - -class PulseGen(torch.nn.Module): - """ Definition of Pulse train generator - - There are many ways to implement pulse generator. - Here, PulseGen is based on SinGen. For a perfect - """ - def __init__(self, samp_rate, pulse_amp = 0.1, - noise_std = 0.003, voiced_threshold = 0): - super(PulseGen, self).__init__() - self.pulse_amp = pulse_amp - self.sampling_rate = samp_rate - self.voiced_threshold = voiced_threshold - self.noise_std = noise_std - self.l_sinegen = SineGen(self.sampling_rate, harmonic_num=0, \ - sine_amp=self.pulse_amp, noise_std=0, \ - voiced_threshold=self.voiced_threshold, \ - flag_for_pulse=True) - - def forward(self, f0): - """ Pulse train generator - pulse_train, uv = forward(f0) - input F0: tensor(batchsize=1, length, dim=1) - f0 for unvoiced steps should be 0 - output pulse_train: tensor(batchsize=1, length, dim) - output uv: tensor(batchsize=1, length, 1) - - Note: self.l_sine doesn't make sure that the initial phase of - a voiced segment is np.pi, the first pulse in a voiced segment - may not be at the first time step within a voiced segment - """ - with torch.no_grad(): - sine_wav, uv, noise = self.l_sinegen(f0) - - # sine without additive noise - pure_sine = sine_wav - noise - - # step t corresponds to a pulse if - # sine[t] > sine[t+1] & sine[t] > sine[t-1] - # & sine[t-1], sine[t+1], and sine[t] are voiced - # or - # sine[t] is voiced, sine[t-1] is unvoiced - # we use torch.roll to simulate sine[t+1] and sine[t-1] - sine_1 = torch.roll(pure_sine, shifts=1, dims=1) - uv_1 = torch.roll(uv, shifts=1, dims=1) - uv_1[:, 0, :] = 0 - sine_2 = torch.roll(pure_sine, shifts=-1, dims=1) - uv_2 = torch.roll(uv, shifts=-1, dims=1) - uv_2[:, -1, :] = 0 - - loc = (pure_sine > sine_1) * (pure_sine > sine_2) \ - * (uv_1 > 0) * (uv_2 > 0) * (uv > 0) \ - + (uv_1 < 1) * (uv > 0) - - # pulse train without noise - pulse_train = pure_sine * loc - - # additive noise to pulse train - # note that noise from sinegen is zero in voiced regions - pulse_noise = torch.randn_like(pure_sine) * self.noise_std - - # with additive noise on pulse, and unvoiced regions - pulse_train += pulse_noise * loc + pulse_noise * (1 - uv) - return pulse_train, sine_wav, uv, pulse_noise - - -class SignalsConv1d(torch.nn.Module): - """ Filtering input signal with time invariant filter - Note: FIRFilter conducted filtering given fixed FIR weight - SignalsConv1d convolves two signals - Note: this is based on torch.nn.functional.conv1d - - """ - - def __init__(self): - super(SignalsConv1d, self).__init__() - - def forward(self, signal, system_ir): - """ output = forward(signal, system_ir) - - signal: (batchsize, length1, dim) - system_ir: (length2, dim) - - output: (batchsize, length1, dim) - """ - if signal.shape[-1] != system_ir.shape[-1]: - print("Error: SignalsConv1d expects shape:") - print("signal (batchsize, length1, dim)") - print("system_id (batchsize, length2, dim)") - print("But received signal: {:s}".format(str(signal.shape))) - print(" system_ir: {:s}".format(str(system_ir.shape))) - sys.exit(1) - padding_length = system_ir.shape[0] - 1 - groups = signal.shape[-1] - - # pad signal on the left - signal_pad = torch_nn_func.pad(signal.permute(0, 2, 1), \ - (padding_length, 0)) - # prepare system impulse response as (dim, 1, length2) - # also flip the impulse response - ir = torch.flip(system_ir.unsqueeze(1).permute(2, 1, 0), \ - dims=[2]) - # convolute - output = torch_nn_func.conv1d(signal_pad, ir, groups=groups) - return output.permute(0, 2, 1) - - -class CyclicNoiseGen_v1(torch.nn.Module): - """ CyclicnoiseGen_v1 - Cyclic noise with a single parameter of beta. - Pytorch v1 implementation assumes f_t is also fixed - """ - - def __init__(self, samp_rate, - noise_std=0.003, voiced_threshold=0): - super(CyclicNoiseGen_v1, self).__init__() - self.samp_rate = samp_rate - self.noise_std = noise_std - self.voiced_threshold = voiced_threshold - - self.l_pulse = PulseGen(samp_rate, pulse_amp=1.0, - noise_std=noise_std, - voiced_threshold=voiced_threshold) - self.l_conv = SignalsConv1d() - - def noise_decay(self, beta, f0mean): - """ decayed_noise = noise_decay(beta, f0mean) - decayed_noise = n[t]exp(-t * f_mean / beta / samp_rate) - - beta: (dim=1) or (batchsize=1, 1, dim=1) - f0mean (batchsize=1, 1, dim=1) - - decayed_noise (batchsize=1, length, dim=1) - """ - with torch.no_grad(): - # exp(-1.0 n / T) < 0.01 => n > -log(0.01)*T = 4.60*T - # truncate the noise when decayed by -40 dB - length = 4.6 * self.samp_rate / f0mean - length = length.int() - time_idx = torch.arange(0, length, device=beta.device) - time_idx = time_idx.unsqueeze(0).unsqueeze(2) - time_idx = time_idx.repeat(beta.shape[0], 1, beta.shape[2]) - - noise = torch.randn(time_idx.shape, device=beta.device) - - # due to Pytorch implementation, use f0_mean as the f0 factor - decay = torch.exp(-time_idx * f0mean / beta / self.samp_rate) - return noise * self.noise_std * decay - - def forward(self, f0s, beta): - """ Producde cyclic-noise - """ - # pulse train - pulse_train, sine_wav, uv, noise = self.l_pulse(f0s) - pure_pulse = pulse_train - noise - - # decayed_noise (length, dim=1) - if (uv < 1).all(): - # all unvoiced - cyc_noise = torch.zeros_like(sine_wav) - else: - f0mean = f0s[uv > 0].mean() - - decayed_noise = self.noise_decay(beta, f0mean)[0, :, :] - # convolute - cyc_noise = self.l_conv(pure_pulse, decayed_noise) - - # add noise in invoiced segments - cyc_noise = cyc_noise + noise * (1.0 - uv) - return cyc_noise, pulse_train, sine_wav, uv, noise - - -class SineGen(torch.nn.Module): - """ Definition of sine generator - SineGen(samp_rate, harmonic_num = 0, - sine_amp = 0.1, noise_std = 0.003, - voiced_threshold = 0, - flag_for_pulse=False) - - samp_rate: sampling rate in Hz - harmonic_num: number of harmonic overtones (default 0) - sine_amp: amplitude of sine-wavefrom (default 0.1) - noise_std: std of Gaussian noise (default 0.003) - voiced_thoreshold: F0 threshold for U/V classification (default 0) - flag_for_pulse: this SinGen is used inside PulseGen (default False) - - Note: when flag_for_pulse is True, the first time step of a voiced - segment is always sin(np.pi) or cos(0) - """ - - def __init__(self, samp_rate, harmonic_num=0, - sine_amp=0.1, noise_std=0.003, - voiced_threshold=0, - flag_for_pulse=False): - super(SineGen, self).__init__() - self.sine_amp = sine_amp - self.noise_std = noise_std - self.harmonic_num = harmonic_num - self.dim = self.harmonic_num + 1 - self.sampling_rate = samp_rate - self.voiced_threshold = voiced_threshold - self.flag_for_pulse = flag_for_pulse - - def _f02uv(self, f0): - # generate uv signal - uv = torch.ones_like(f0) - uv = uv * (f0 > self.voiced_threshold) - return uv - - def _f02sine(self, f0_values): - """ f0_values: (batchsize, length, dim) - where dim indicates fundamental tone and overtones - """ - # convert to F0 in rad. The interger part n can be ignored - # because 2 * np.pi * n doesn't affect phase - rad_values = (f0_values / self.sampling_rate) % 1 - - # initial phase noise (no noise for fundamental component) - rand_ini = torch.rand(f0_values.shape[0], f0_values.shape[2], \ - device=f0_values.device) - rand_ini[:, 0] = 0 - rad_values[:, 0, :] = rad_values[:, 0, :] + rand_ini - - # instantanouse phase sine[t] = sin(2*pi \sum_i=1 ^{t} rad) - if not self.flag_for_pulse: - # for normal case - - # To prevent torch.cumsum numerical overflow, - # it is necessary to add -1 whenever \sum_k=1^n rad_value_k > 1. - # Buffer tmp_over_one_idx indicates the time step to add -1. - # This will not change F0 of sine because (x-1) * 2*pi = x * 2*pi - tmp_over_one = torch.cumsum(rad_values, 1) % 1 - tmp_over_one_idx = (tmp_over_one[:, 1:, :] - - tmp_over_one[:, :-1, :]) < 0 - cumsum_shift = torch.zeros_like(rad_values) - cumsum_shift[:, 1:, :] = tmp_over_one_idx * -1.0 - - sines = torch.sin(torch.cumsum(rad_values + cumsum_shift, dim=1) - * 2 * np.pi) - else: - # If necessary, make sure that the first time step of every - # voiced segments is sin(pi) or cos(0) - # This is used for pulse-train generation - - # identify the last time step in unvoiced segments - uv = self._f02uv(f0_values) - uv_1 = torch.roll(uv, shifts=-1, dims=1) - uv_1[:, -1, :] = 1 - u_loc = (uv < 1) * (uv_1 > 0) - - # get the instantanouse phase - tmp_cumsum = torch.cumsum(rad_values, dim=1) - # different batch needs to be processed differently - for idx in range(f0_values.shape[0]): - temp_sum = tmp_cumsum[idx, u_loc[idx, :, 0], :] - temp_sum[1:, :] = temp_sum[1:, :] - temp_sum[0:-1, :] - # stores the accumulation of i.phase within - # each voiced segments - tmp_cumsum[idx, :, :] = 0 - tmp_cumsum[idx, u_loc[idx, :, 0], :] = temp_sum - - # rad_values - tmp_cumsum: remove the accumulation of i.phase - # within the previous voiced segment. - i_phase = torch.cumsum(rad_values - tmp_cumsum, dim=1) - - # get the sines - sines = torch.cos(i_phase * 2 * np.pi) - return sines - - def forward(self, f0): - """ sine_tensor, uv = forward(f0) - input F0: tensor(batchsize=1, length, dim=1) - f0 for unvoiced steps should be 0 - output sine_tensor: tensor(batchsize=1, length, dim) - output uv: tensor(batchsize=1, length, 1) - """ - with torch.no_grad(): - f0_buf = torch.zeros(f0.shape[0], f0.shape[1], self.dim, \ - device=f0.device) - # fundamental component - f0_buf[:, :, 0] = f0[:, :, 0] - for idx in np.arange(self.harmonic_num): - # idx + 2: the (idx+1)-th overtone, (idx+2)-th harmonic - f0_buf[:, :, idx + 1] = f0_buf[:, :, 0] * (idx + 2) - - # generate sine waveforms - sine_waves = self._f02sine(f0_buf) * self.sine_amp - - # generate uv signal - # uv = torch.ones(f0.shape) - # uv = uv * (f0 > self.voiced_threshold) - uv = self._f02uv(f0) - - # noise: for unvoiced should be similar to sine_amp - # std = self.sine_amp/3 -> max value ~ self.sine_amp - # . for voiced regions is self.noise_std - noise_amp = uv * self.noise_std + (1 - uv) * self.sine_amp / 3 - noise = noise_amp * torch.randn_like(sine_waves) - - # first: set the unvoiced part to 0 by uv - # then: additive noise - sine_waves = sine_waves * uv + noise - return sine_waves, uv, noise - - -class SourceModuleCycNoise_v1(torch.nn.Module): - """ SourceModuleCycNoise_v1 - SourceModule(sampling_rate, noise_std=0.003, voiced_threshod=0) - sampling_rate: sampling_rate in Hz - - noise_std: std of Gaussian noise (default: 0.003) - voiced_threshold: threshold to set U/V given F0 (default: 0) - - cyc, noise, uv = SourceModuleCycNoise_v1(F0_upsampled, beta) - F0_upsampled (batchsize, length, 1) - beta (1) - cyc (batchsize, length, 1) - noise (batchsize, length, 1) - uv (batchsize, length, 1) - """ - - def __init__(self, sampling_rate, noise_std=0.003, voiced_threshod=0): - super(SourceModuleCycNoise_v1, self).__init__() - self.sampling_rate = sampling_rate - self.noise_std = noise_std - self.l_cyc_gen = CyclicNoiseGen_v1(sampling_rate, noise_std, - voiced_threshod) - - def forward(self, f0_upsamped, beta): - """ - cyc, noise, uv = SourceModuleCycNoise_v1(F0, beta) - F0_upsampled (batchsize, length, 1) - beta (1) - cyc (batchsize, length, 1) - noise (batchsize, length, 1) - uv (batchsize, length, 1) - """ - # source for harmonic branch - cyc, pulse, sine, uv, add_noi = self.l_cyc_gen(f0_upsamped, beta) - - # source for noise branch, in the same shape as uv - noise = torch.randn_like(uv) * self.noise_std / 3 - return cyc, noise, uv - - -class SourceModuleHnNSF(torch.nn.Module): - """ SourceModule for hn-nsf - SourceModule(sampling_rate, harmonic_num=0, sine_amp=0.1, - add_noise_std=0.003, voiced_threshod=0) - sampling_rate: sampling_rate in Hz - harmonic_num: number of harmonic above F0 (default: 0) - sine_amp: amplitude of sine source signal (default: 0.1) - add_noise_std: std of additive Gaussian noise (default: 0.003) - note that amplitude of noise in unvoiced is decided - by sine_amp - voiced_threshold: threhold to set U/V given F0 (default: 0) - - Sine_source, noise_source = SourceModuleHnNSF(F0_sampled) - F0_sampled (batchsize, length, 1) - Sine_source (batchsize, length, 1) - noise_source (batchsize, length 1) - uv (batchsize, length, 1) - """ - - def __init__(self, sampling_rate, harmonic_num=0, sine_amp=0.1, - add_noise_std=0.003, voiced_threshod=0): - super(SourceModuleHnNSF, self).__init__() - - self.sine_amp = sine_amp - self.noise_std = add_noise_std - - # to produce sine waveforms - self.l_sin_gen = SineGen(sampling_rate, harmonic_num, - sine_amp, add_noise_std, voiced_threshod) - - # to merge source harmonics into a single excitation - self.l_linear = torch.nn.Linear(harmonic_num + 1, 1) - self.l_tanh = torch.nn.Tanh() - - def forward(self, x): - """ - Sine_source, noise_source = SourceModuleHnNSF(F0_sampled) - F0_sampled (batchsize, length, 1) - Sine_source (batchsize, length, 1) - noise_source (batchsize, length 1) - """ - # source for harmonic branch - sine_wavs, uv, _ = self.l_sin_gen(x) - sine_merge = self.l_tanh(self.l_linear(sine_wavs)) - - # source for noise branch, in the same shape as uv - noise = torch.randn_like(uv) * self.sine_amp / 3 - return sine_merge, noise, uv - - -if __name__ == '__main__': - source = SourceModuleCycNoise_v1(24000) - x = torch.randn(16, 25600, 1) - - diff --git a/spaces/AIGC-Audio/AudioGPT/text_to_audio/Make_An_Audio/ldm/modules/x_transformer.py b/spaces/AIGC-Audio/AudioGPT/text_to_audio/Make_An_Audio/ldm/modules/x_transformer.py deleted file mode 100644 index 5fc15bf9cfe0111a910e7de33d04ffdec3877576..0000000000000000000000000000000000000000 --- a/spaces/AIGC-Audio/AudioGPT/text_to_audio/Make_An_Audio/ldm/modules/x_transformer.py +++ /dev/null @@ -1,641 +0,0 @@ -"""shout-out to https://github.com/lucidrains/x-transformers/tree/main/x_transformers""" -import torch -from torch import nn, einsum -import torch.nn.functional as F -from functools import partial -from inspect import isfunction -from collections import namedtuple -from einops import rearrange, repeat, reduce - -# constants - -DEFAULT_DIM_HEAD = 64 - -Intermediates = namedtuple('Intermediates', [ - 'pre_softmax_attn', - 'post_softmax_attn' -]) - -LayerIntermediates = namedtuple('Intermediates', [ - 'hiddens', - 'attn_intermediates' -]) - - -class AbsolutePositionalEmbedding(nn.Module): - def __init__(self, dim, max_seq_len): - super().__init__() - self.emb = nn.Embedding(max_seq_len, dim) - self.init_() - - def init_(self): - nn.init.normal_(self.emb.weight, std=0.02) - - def forward(self, x): - n = torch.arange(x.shape[1], device=x.device) - return self.emb(n)[None, :, :] - - -class FixedPositionalEmbedding(nn.Module): - def __init__(self, dim): - super().__init__() - inv_freq = 1. / (10000 ** (torch.arange(0, dim, 2).float() / dim)) - self.register_buffer('inv_freq', inv_freq) - - def forward(self, x, seq_dim=1, offset=0): - t = torch.arange(x.shape[seq_dim], device=x.device).type_as(self.inv_freq) + offset - sinusoid_inp = torch.einsum('i , j -> i j', t, self.inv_freq) - emb = torch.cat((sinusoid_inp.sin(), sinusoid_inp.cos()), dim=-1) - return emb[None, :, :] - - -# helpers - -def exists(val): - return val is not None - - -def default(val, d): - if exists(val): - return val - return d() if isfunction(d) else d - - -def always(val): - def inner(*args, **kwargs): - return val - return inner - - -def not_equals(val): - def inner(x): - return x != val - return inner - - -def equals(val): - def inner(x): - return x == val - return inner - - -def max_neg_value(tensor): - return -torch.finfo(tensor.dtype).max - - -# keyword argument helpers - -def pick_and_pop(keys, d): - values = list(map(lambda key: d.pop(key), keys)) - return dict(zip(keys, values)) - - -def group_dict_by_key(cond, d): - return_val = [dict(), dict()] - for key in d.keys(): - match = bool(cond(key)) - ind = int(not match) - return_val[ind][key] = d[key] - return (*return_val,) - - -def string_begins_with(prefix, str): - return str.startswith(prefix) - - -def group_by_key_prefix(prefix, d): - return group_dict_by_key(partial(string_begins_with, prefix), d) - - -def groupby_prefix_and_trim(prefix, d): - kwargs_with_prefix, kwargs = group_dict_by_key(partial(string_begins_with, prefix), d) - kwargs_without_prefix = dict(map(lambda x: (x[0][len(prefix):], x[1]), tuple(kwargs_with_prefix.items()))) - return kwargs_without_prefix, kwargs - - -# classes -class Scale(nn.Module): - def __init__(self, value, fn): - super().__init__() - self.value = value - self.fn = fn - - def forward(self, x, **kwargs): - x, *rest = self.fn(x, **kwargs) - return (x * self.value, *rest) - - -class Rezero(nn.Module): - def __init__(self, fn): - super().__init__() - self.fn = fn - self.g = nn.Parameter(torch.zeros(1)) - - def forward(self, x, **kwargs): - x, *rest = self.fn(x, **kwargs) - return (x * self.g, *rest) - - -class ScaleNorm(nn.Module): - def __init__(self, dim, eps=1e-5): - super().__init__() - self.scale = dim ** -0.5 - self.eps = eps - self.g = nn.Parameter(torch.ones(1)) - - def forward(self, x): - norm = torch.norm(x, dim=-1, keepdim=True) * self.scale - return x / norm.clamp(min=self.eps) * self.g - - -class RMSNorm(nn.Module): - def __init__(self, dim, eps=1e-8): - super().__init__() - self.scale = dim ** -0.5 - self.eps = eps - self.g = nn.Parameter(torch.ones(dim)) - - def forward(self, x): - norm = torch.norm(x, dim=-1, keepdim=True) * self.scale - return x / norm.clamp(min=self.eps) * self.g - - -class Residual(nn.Module): - def forward(self, x, residual): - return x + residual - - -class GRUGating(nn.Module): - def __init__(self, dim): - super().__init__() - self.gru = nn.GRUCell(dim, dim) - - def forward(self, x, residual): - gated_output = self.gru( - rearrange(x, 'b n d -> (b n) d'), - rearrange(residual, 'b n d -> (b n) d') - ) - - return gated_output.reshape_as(x) - - -# feedforward - -class GEGLU(nn.Module): - def __init__(self, dim_in, dim_out): - super().__init__() - self.proj = nn.Linear(dim_in, dim_out * 2) - - def forward(self, x): - x, gate = self.proj(x).chunk(2, dim=-1) - return x * F.gelu(gate) - - -class FeedForward(nn.Module): - def __init__(self, dim, dim_out=None, mult=4, glu=False, dropout=0.): - super().__init__() - inner_dim = int(dim * mult) - dim_out = default(dim_out, dim) - project_in = nn.Sequential( - nn.Linear(dim, inner_dim), - nn.GELU() - ) if not glu else GEGLU(dim, inner_dim) - - self.net = nn.Sequential( - project_in, - nn.Dropout(dropout), - nn.Linear(inner_dim, dim_out) - ) - - def forward(self, x): - return self.net(x) - - -# attention. -class Attention(nn.Module): - def __init__( - self, - dim, - dim_head=DEFAULT_DIM_HEAD, - heads=8, - causal=False, - mask=None, - talking_heads=False, - sparse_topk=None, - use_entmax15=False, - num_mem_kv=0, - dropout=0., - on_attn=False - ): - super().__init__() - if use_entmax15: - raise NotImplementedError("Check out entmax activation instead of softmax activation!") - self.scale = dim_head ** -0.5 - self.heads = heads - self.causal = causal - self.mask = mask - - inner_dim = dim_head * heads - - self.to_q = nn.Linear(dim, inner_dim, bias=False) - self.to_k = nn.Linear(dim, inner_dim, bias=False) - self.to_v = nn.Linear(dim, inner_dim, bias=False) - self.dropout = nn.Dropout(dropout) - - # talking heads - self.talking_heads = talking_heads - if talking_heads: - self.pre_softmax_proj = nn.Parameter(torch.randn(heads, heads)) - self.post_softmax_proj = nn.Parameter(torch.randn(heads, heads)) - - # explicit topk sparse attention - self.sparse_topk = sparse_topk - - # entmax - #self.attn_fn = entmax15 if use_entmax15 else F.softmax - self.attn_fn = F.softmax - - # add memory key / values - self.num_mem_kv = num_mem_kv - if num_mem_kv > 0: - self.mem_k = nn.Parameter(torch.randn(heads, num_mem_kv, dim_head)) - self.mem_v = nn.Parameter(torch.randn(heads, num_mem_kv, dim_head)) - - # attention on attention - self.attn_on_attn = on_attn - self.to_out = nn.Sequential(nn.Linear(inner_dim, dim * 2), nn.GLU()) if on_attn else nn.Linear(inner_dim, dim) - - def forward( - self, - x, - context=None, - mask=None, - context_mask=None, - rel_pos=None, - sinusoidal_emb=None, - prev_attn=None, - mem=None - ): - b, n, _, h, talking_heads, device = *x.shape, self.heads, self.talking_heads, x.device - kv_input = default(context, x) - - q_input = x - k_input = kv_input - v_input = kv_input - - if exists(mem): - k_input = torch.cat((mem, k_input), dim=-2) - v_input = torch.cat((mem, v_input), dim=-2) - - if exists(sinusoidal_emb): - # in shortformer, the query would start at a position offset depending on the past cached memory - offset = k_input.shape[-2] - q_input.shape[-2] - q_input = q_input + sinusoidal_emb(q_input, offset=offset) - k_input = k_input + sinusoidal_emb(k_input) - - q = self.to_q(q_input) - k = self.to_k(k_input) - v = self.to_v(v_input) - - q, k, v = map(lambda t: rearrange(t, 'b n (h d) -> b h n d', h=h), (q, k, v)) - - input_mask = None - if any(map(exists, (mask, context_mask))): - q_mask = default(mask, lambda: torch.ones((b, n), device=device).bool()) - k_mask = q_mask if not exists(context) else context_mask - k_mask = default(k_mask, lambda: torch.ones((b, k.shape[-2]), device=device).bool()) - q_mask = rearrange(q_mask, 'b i -> b () i ()') - k_mask = rearrange(k_mask, 'b j -> b () () j') - input_mask = q_mask * k_mask - - if self.num_mem_kv > 0: - mem_k, mem_v = map(lambda t: repeat(t, 'h n d -> b h n d', b=b), (self.mem_k, self.mem_v)) - k = torch.cat((mem_k, k), dim=-2) - v = torch.cat((mem_v, v), dim=-2) - if exists(input_mask): - input_mask = F.pad(input_mask, (self.num_mem_kv, 0), value=True) - - dots = einsum('b h i d, b h j d -> b h i j', q, k) * self.scale - mask_value = max_neg_value(dots) - - if exists(prev_attn): - dots = dots + prev_attn - - pre_softmax_attn = dots - - if talking_heads: - dots = einsum('b h i j, h k -> b k i j', dots, self.pre_softmax_proj).contiguous() - - if exists(rel_pos): - dots = rel_pos(dots) - - if exists(input_mask): - dots.masked_fill_(~input_mask, mask_value) - del input_mask - - if self.causal: - i, j = dots.shape[-2:] - r = torch.arange(i, device=device) - mask = rearrange(r, 'i -> () () i ()') < rearrange(r, 'j -> () () () j') - mask = F.pad(mask, (j - i, 0), value=False) - dots.masked_fill_(mask, mask_value) - del mask - - if exists(self.sparse_topk) and self.sparse_topk < dots.shape[-1]: - top, _ = dots.topk(self.sparse_topk, dim=-1) - vk = top[..., -1].unsqueeze(-1).expand_as(dots) - mask = dots < vk - dots.masked_fill_(mask, mask_value) - del mask - - attn = self.attn_fn(dots, dim=-1) - post_softmax_attn = attn - - attn = self.dropout(attn) - - if talking_heads: - attn = einsum('b h i j, h k -> b k i j', attn, self.post_softmax_proj).contiguous() - - out = einsum('b h i j, b h j d -> b h i d', attn, v) - out = rearrange(out, 'b h n d -> b n (h d)') - - intermediates = Intermediates( - pre_softmax_attn=pre_softmax_attn, - post_softmax_attn=post_softmax_attn - ) - - return self.to_out(out), intermediates - - -class AttentionLayers(nn.Module): - def __init__( - self, - dim, - depth, - heads=8, - causal=False, - cross_attend=False, - only_cross=False, - use_scalenorm=False, - use_rmsnorm=False, - use_rezero=False, - rel_pos_num_buckets=32, - rel_pos_max_distance=128, - position_infused_attn=False, - custom_layers=None, - sandwich_coef=None, - par_ratio=None, - residual_attn=False, - cross_residual_attn=False, - macaron=False, - pre_norm=True, - gate_residual=False, - **kwargs - ): - super().__init__() - ff_kwargs, kwargs = groupby_prefix_and_trim('ff_', kwargs) - attn_kwargs, _ = groupby_prefix_and_trim('attn_', kwargs) - - dim_head = attn_kwargs.get('dim_head', DEFAULT_DIM_HEAD) - - self.dim = dim - self.depth = depth - self.layers = nn.ModuleList([]) - - self.has_pos_emb = position_infused_attn - self.pia_pos_emb = FixedPositionalEmbedding(dim) if position_infused_attn else None - self.rotary_pos_emb = always(None) - - assert rel_pos_num_buckets <= rel_pos_max_distance, 'number of relative position buckets must be less than the relative position max distance' - self.rel_pos = None - - self.pre_norm = pre_norm - - self.residual_attn = residual_attn - self.cross_residual_attn = cross_residual_attn - - norm_class = ScaleNorm if use_scalenorm else nn.LayerNorm - norm_class = RMSNorm if use_rmsnorm else norm_class - norm_fn = partial(norm_class, dim) - - norm_fn = nn.Identity if use_rezero else norm_fn - branch_fn = Rezero if use_rezero else None - - if cross_attend and not only_cross: - default_block = ('a', 'c', 'f') - elif cross_attend and only_cross: - default_block = ('c', 'f') - else: - default_block = ('a', 'f') - - if macaron: - default_block = ('f',) + default_block - - if exists(custom_layers): - layer_types = custom_layers - elif exists(par_ratio): - par_depth = depth * len(default_block) - assert 1 < par_ratio <= par_depth, 'par ratio out of range' - default_block = tuple(filter(not_equals('f'), default_block)) - par_attn = par_depth // par_ratio - depth_cut = par_depth * 2 // 3 # 2 / 3 attention layer cutoff suggested by PAR paper - par_width = (depth_cut + depth_cut // par_attn) // par_attn - assert len(default_block) <= par_width, 'default block is too large for par_ratio' - par_block = default_block + ('f',) * (par_width - len(default_block)) - par_head = par_block * par_attn - layer_types = par_head + ('f',) * (par_depth - len(par_head)) - elif exists(sandwich_coef): - assert sandwich_coef > 0 and sandwich_coef <= depth, 'sandwich coefficient should be less than the depth' - layer_types = ('a',) * sandwich_coef + default_block * (depth - sandwich_coef) + ('f',) * sandwich_coef - else: - layer_types = default_block * depth - - self.layer_types = layer_types - self.num_attn_layers = len(list(filter(equals('a'), layer_types))) - - for layer_type in self.layer_types: - if layer_type == 'a': - layer = Attention(dim, heads=heads, causal=causal, **attn_kwargs) - elif layer_type == 'c': - layer = Attention(dim, heads=heads, **attn_kwargs) - elif layer_type == 'f': - layer = FeedForward(dim, **ff_kwargs) - layer = layer if not macaron else Scale(0.5, layer) - else: - raise Exception(f'invalid layer type {layer_type}') - - if isinstance(layer, Attention) and exists(branch_fn): - layer = branch_fn(layer) - - if gate_residual: - residual_fn = GRUGating(dim) - else: - residual_fn = Residual() - - self.layers.append(nn.ModuleList([ - norm_fn(), - layer, - residual_fn - ])) - - def forward( - self, - x, - context=None, - mask=None, - context_mask=None, - mems=None, - return_hiddens=False - ): - hiddens = [] - intermediates = [] - prev_attn = None - prev_cross_attn = None - - mems = mems.copy() if exists(mems) else [None] * self.num_attn_layers - - for ind, (layer_type, (norm, block, residual_fn)) in enumerate(zip(self.layer_types, self.layers)): - is_last = ind == (len(self.layers) - 1) - - if layer_type == 'a': - hiddens.append(x) - layer_mem = mems.pop(0) - - residual = x - - if self.pre_norm: - x = norm(x) - - if layer_type == 'a': - out, inter = block(x, mask=mask, sinusoidal_emb=self.pia_pos_emb, rel_pos=self.rel_pos, - prev_attn=prev_attn, mem=layer_mem) - elif layer_type == 'c': - out, inter = block(x, context=context, mask=mask, context_mask=context_mask, prev_attn=prev_cross_attn) - elif layer_type == 'f': - out = block(x) - - x = residual_fn(out, residual) - - if layer_type in ('a', 'c'): - intermediates.append(inter) - - if layer_type == 'a' and self.residual_attn: - prev_attn = inter.pre_softmax_attn - elif layer_type == 'c' and self.cross_residual_attn: - prev_cross_attn = inter.pre_softmax_attn - - if not self.pre_norm and not is_last: - x = norm(x) - - if return_hiddens: - intermediates = LayerIntermediates( - hiddens=hiddens, - attn_intermediates=intermediates - ) - - return x, intermediates - - return x - - -class Encoder(AttentionLayers): - def __init__(self, **kwargs): - assert 'causal' not in kwargs, 'cannot set causality on encoder' - super().__init__(causal=False, **kwargs) - - - -class TransformerWrapper(nn.Module): - def __init__( - self, - *, - num_tokens, - max_seq_len, - attn_layers, - emb_dim=None, - max_mem_len=0., - emb_dropout=0., - num_memory_tokens=None, - tie_embedding=False, - use_pos_emb=True - ): - super().__init__() - assert isinstance(attn_layers, AttentionLayers), 'attention layers must be one of Encoder or Decoder' - - dim = attn_layers.dim - emb_dim = default(emb_dim, dim) - - self.max_seq_len = max_seq_len - self.max_mem_len = max_mem_len - self.num_tokens = num_tokens - - self.token_emb = nn.Embedding(num_tokens, emb_dim) - self.pos_emb = AbsolutePositionalEmbedding(emb_dim, max_seq_len) if ( - use_pos_emb and not attn_layers.has_pos_emb) else always(0) - self.emb_dropout = nn.Dropout(emb_dropout) - - self.project_emb = nn.Linear(emb_dim, dim) if emb_dim != dim else nn.Identity() - self.attn_layers = attn_layers - self.norm = nn.LayerNorm(dim) - - self.init_() - - self.to_logits = nn.Linear(dim, num_tokens) if not tie_embedding else lambda t: t @ self.token_emb.weight.t() - - # memory tokens (like [cls]) from Memory Transformers paper - num_memory_tokens = default(num_memory_tokens, 0) - self.num_memory_tokens = num_memory_tokens - if num_memory_tokens > 0: - self.memory_tokens = nn.Parameter(torch.randn(num_memory_tokens, dim)) - - # let funnel encoder know number of memory tokens, if specified - if hasattr(attn_layers, 'num_memory_tokens'): - attn_layers.num_memory_tokens = num_memory_tokens - - def init_(self): - nn.init.normal_(self.token_emb.weight, std=0.02) - - def forward( - self, - x, - return_embeddings=False, - mask=None, - return_mems=False, - return_attn=False, - mems=None, - **kwargs - ): - b, n, device, num_mem = *x.shape, x.device, self.num_memory_tokens - x = self.token_emb(x) - x += self.pos_emb(x) - x = self.emb_dropout(x) - - x = self.project_emb(x) - - if num_mem > 0: - mem = repeat(self.memory_tokens, 'n d -> b n d', b=b) - x = torch.cat((mem, x), dim=1) - - # auto-handle masking after appending memory tokens - if exists(mask): - mask = F.pad(mask, (num_mem, 0), value=True) - - x, intermediates = self.attn_layers(x, mask=mask, mems=mems, return_hiddens=True, **kwargs) - x = self.norm(x) - - mem, x = x[:, :num_mem], x[:, num_mem:] - - out = self.to_logits(x) if not return_embeddings else x - - if return_mems: - hiddens = intermediates.hiddens - new_mems = list(map(lambda pair: torch.cat(pair, dim=-2), zip(mems, hiddens))) if exists(mems) else hiddens - new_mems = list(map(lambda t: t[..., -self.max_mem_len:, :].detach(), new_mems)) - return out, new_mems - - if return_attn: - attn_maps = list(map(lambda t: t.post_softmax_attn, intermediates.attn_intermediates)) - return out, attn_maps - - return out - diff --git a/spaces/AILab-CVC/SEED-LLaMA/models/seed_qformer/qformer_causual.py b/spaces/AILab-CVC/SEED-LLaMA/models/seed_qformer/qformer_causual.py deleted file mode 100644 index 7b11aeb409a6c71a024cc00816d6bebc18f739a5..0000000000000000000000000000000000000000 --- a/spaces/AILab-CVC/SEED-LLaMA/models/seed_qformer/qformer_causual.py +++ /dev/null @@ -1,1169 +0,0 @@ -""" - * Copyright (c) 2023, salesforce.com, inc. - * All rights reserved. - * SPDX-License-Identifier: BSD-3-Clause - * For full license text, see LICENSE.txt file in the repo root or https://opensource.org/licenses/BSD-3-Clause - * By Junnan Li - * Based on huggingface code base - * https://github.com/huggingface/transformers/blob/v4.15.0/src/transformers/models/bert -""" - -import math -import os -import warnings -from dataclasses import dataclass -from typing import Optional, Tuple, Dict, Any - -import torch -from torch import Tensor, device, dtype, nn -import torch.utils.checkpoint -from torch.nn import CrossEntropyLoss -import torch.nn.functional as F -import numpy as np - -from transformers.activations import ACT2FN -from transformers.file_utils import ( - ModelOutput, ) -from transformers.modeling_outputs import ( - BaseModelOutputWithPastAndCrossAttentions, - BaseModelOutputWithPoolingAndCrossAttentions, - CausalLMOutputWithCrossAttentions, - MaskedLMOutput, - MultipleChoiceModelOutput, - NextSentencePredictorOutput, - QuestionAnsweringModelOutput, - SequenceClassifierOutput, - TokenClassifierOutput, -) -from transformers.modeling_utils import ( - PreTrainedModel, - apply_chunking_to_forward, - find_pruneable_heads_and_indices, - prune_linear_layer, -) -from transformers.utils import logging -from transformers.models.bert.configuration_bert import BertConfig - -#torch.set_printoptions(profile="full") -logger = logging.get_logger(__name__) - - -class BertEmbeddings(nn.Module): - """Construct the embeddings from word and position embeddings.""" - def __init__(self, config): - super().__init__() - self.word_embeddings = nn.Embedding(config.vocab_size, config.hidden_size, padding_idx=config.pad_token_id) - self.position_embeddings = nn.Embedding(config.max_position_embeddings, config.hidden_size) - - # self.LayerNorm is not snake-cased to stick with TensorFlow model variable name and be able to load - # any TensorFlow checkpoint file - self.LayerNorm = nn.LayerNorm(config.hidden_size, eps=config.layer_norm_eps) - self.dropout = nn.Dropout(config.hidden_dropout_prob) - - # position_ids (1, len position emb) is contiguous in memory and exported when serialized - self.register_buffer("position_ids", torch.arange(config.max_position_embeddings).expand((1, -1))) - self.position_embedding_type = getattr(config, "position_embedding_type", "absolute") - - self.config = config - - def forward( - self, - input_ids=None, - position_ids=None, - query_embeds=None, - past_key_values_length=0, - ): - if input_ids is not None: - seq_length = input_ids.size()[1] - else: - seq_length = 0 - - if position_ids is None: - position_ids = self.position_ids[:, past_key_values_length:seq_length + past_key_values_length].clone() - - if input_ids is not None: - embeddings = self.word_embeddings(input_ids) - if self.position_embedding_type == "absolute": - position_embeddings = self.position_embeddings(position_ids) - embeddings = embeddings + position_embeddings - - if query_embeds is not None: - embeddings = torch.cat((query_embeds, embeddings), dim=1) - #print(query_embeds.shape, embeddings.shape) - else: - embeddings = query_embeds - - embeddings = self.LayerNorm(embeddings) - embeddings = self.dropout(embeddings) - return embeddings - - -class BertSelfAttention(nn.Module): - def __init__(self, config, is_cross_attention): - super().__init__() - self.config = config - if config.hidden_size % config.num_attention_heads != 0 and not hasattr(config, "embedding_size"): - raise ValueError("The hidden size (%d) is not a multiple of the number of attention " - "heads (%d)" % (config.hidden_size, config.num_attention_heads)) - - self.num_attention_heads = config.num_attention_heads - self.attention_head_size = int(config.hidden_size / config.num_attention_heads) - self.all_head_size = self.num_attention_heads * self.attention_head_size - - self.query = nn.Linear(config.hidden_size, self.all_head_size) - if is_cross_attention: - self.key = nn.Linear(config.encoder_width, self.all_head_size) - self.value = nn.Linear(config.encoder_width, self.all_head_size) - else: - self.key = nn.Linear(config.hidden_size, self.all_head_size) - self.value = nn.Linear(config.hidden_size, self.all_head_size) - - self.dropout = nn.Dropout(config.attention_probs_dropout_prob) - self.position_embedding_type = getattr(config, "position_embedding_type", "absolute") - if (self.position_embedding_type == "relative_key" or self.position_embedding_type == "relative_key_query"): - self.max_position_embeddings = config.max_position_embeddings - self.distance_embedding = nn.Embedding(2 * config.max_position_embeddings - 1, self.attention_head_size) - self.save_attention = False - - def save_attn_gradients(self, attn_gradients): - self.attn_gradients = attn_gradients - - def get_attn_gradients(self): - return self.attn_gradients - - def save_attention_map(self, attention_map): - self.attention_map = attention_map - - def get_attention_map(self): - return self.attention_map - - def transpose_for_scores(self, x): - new_x_shape = x.size()[:-1] + ( - self.num_attention_heads, - self.attention_head_size, - ) - x = x.view(*new_x_shape) - return x.permute(0, 2, 1, 3) - - def forward( - self, - hidden_states, - attention_mask=None, - head_mask=None, - encoder_hidden_states=None, - encoder_attention_mask=None, - past_key_value=None, - output_attentions=False, - ): - - # If this is instantiated as a cross-attention module, the keys - # and values come from an encoder; the attention mask needs to be - # such that the encoder's padding tokens are not attended to. - is_cross_attention = encoder_hidden_states is not None - - if is_cross_attention: - key_layer = self.transpose_for_scores(self.key(encoder_hidden_states)) - value_layer = self.transpose_for_scores(self.value(encoder_hidden_states)) - #print(key_layer.shape, value_layer.shape) - attention_mask = encoder_attention_mask - elif past_key_value is not None: - key_layer = self.transpose_for_scores(self.key(hidden_states)) - value_layer = self.transpose_for_scores(self.value(hidden_states)) - key_layer = torch.cat([past_key_value[0], key_layer], dim=2) - value_layer = torch.cat([past_key_value[1], value_layer], dim=2) - #print(past_key_value[0].shape, key_layer.shape) - else: - key_layer = self.transpose_for_scores(self.key(hidden_states)) - value_layer = self.transpose_for_scores(self.value(hidden_states)) - - mixed_query_layer = self.query(hidden_states) - - query_layer = self.transpose_for_scores(mixed_query_layer) - # if past_key_value is not None: - # print(query_layer.shape) - - past_key_value = (key_layer, value_layer) - #print(key_layer.shape, value_layer.shape) - - # Take the dot product between "query" and "key" to get the raw attention scores. - attention_scores = torch.matmul(query_layer, key_layer.transpose(-1, -2)) - #if is_cross_attention: - # if attention_scores.shape[2] == 32: - # attention_scores_save = attention_scores[0].detach().cpu().numpy() - # print(attention_scores_save.shape) - # np.save('attention_scores_causal_text_child.npy', attention_scores_save) - - if (self.position_embedding_type == "relative_key" or self.position_embedding_type == "relative_key_query"): - seq_length = hidden_states.size()[1] - position_ids_l = torch.arange(seq_length, dtype=torch.long, device=hidden_states.device).view(-1, 1) - position_ids_r = torch.arange(seq_length, dtype=torch.long, device=hidden_states.device).view(1, -1) - distance = position_ids_l - position_ids_r - positional_embedding = self.distance_embedding(distance + self.max_position_embeddings - 1) - positional_embedding = positional_embedding.to(dtype=query_layer.dtype) # fp16 compatibility - - if self.position_embedding_type == "relative_key": - relative_position_scores = torch.einsum("bhld,lrd->bhlr", query_layer, positional_embedding) - attention_scores = attention_scores + relative_position_scores - elif self.position_embedding_type == "relative_key_query": - relative_position_scores_query = torch.einsum("bhld,lrd->bhlr", query_layer, positional_embedding) - relative_position_scores_key = torch.einsum("bhrd,lrd->bhlr", key_layer, positional_embedding) - attention_scores = (attention_scores + relative_position_scores_query + relative_position_scores_key) - - attention_scores = attention_scores / math.sqrt(self.attention_head_size) - if attention_mask is not None: - # Apply the attention mask is (precomputed for all layers in BertModel forward() function) - attention_scores = attention_scores + attention_mask - - # Normalize the attention scores to probabilities. - attention_probs = nn.Softmax(dim=-1)(attention_scores) - - if is_cross_attention and self.save_attention: - self.save_attention_map(attention_probs) - attention_probs.register_hook(self.save_attn_gradients) - - # This is actually dropping out entire tokens to attend to, which might - # seem a bit unusual, but is taken from the original Transformer paper. - attention_probs_dropped = self.dropout(attention_probs) - - # Mask heads if we want to - if head_mask is not None: - attention_probs_dropped = attention_probs_dropped * head_mask - - context_layer = torch.matmul(attention_probs_dropped, value_layer) - - context_layer = context_layer.permute(0, 2, 1, 3).contiguous() - new_context_layer_shape = context_layer.size()[:-2] + (self.all_head_size, ) - context_layer = context_layer.view(*new_context_layer_shape) - - outputs = ((context_layer, attention_probs) if output_attentions else (context_layer, )) - - outputs = outputs + (past_key_value, ) - return outputs - - -class BertSelfOutput(nn.Module): - def __init__(self, config): - super().__init__() - self.dense = nn.Linear(config.hidden_size, config.hidden_size) - self.LayerNorm = nn.LayerNorm(config.hidden_size, eps=config.layer_norm_eps) - self.dropout = nn.Dropout(config.hidden_dropout_prob) - - def forward(self, hidden_states, input_tensor): - hidden_states = self.dense(hidden_states) - hidden_states = self.dropout(hidden_states) - hidden_states = self.LayerNorm(hidden_states + input_tensor) - return hidden_states - - -class BertAttention(nn.Module): - def __init__(self, config, is_cross_attention=False): - super().__init__() - self.self = BertSelfAttention(config, is_cross_attention) - self.output = BertSelfOutput(config) - self.pruned_heads = set() - - def prune_heads(self, heads): - if len(heads) == 0: - return - heads, index = find_pruneable_heads_and_indices( - heads, - self.self.num_attention_heads, - self.self.attention_head_size, - self.pruned_heads, - ) - - # Prune linear layers - self.self.query = prune_linear_layer(self.self.query, index) - self.self.key = prune_linear_layer(self.self.key, index) - self.self.value = prune_linear_layer(self.self.value, index) - self.output.dense = prune_linear_layer(self.output.dense, index, dim=1) - - # Update hyper params and store pruned heads - self.self.num_attention_heads = self.self.num_attention_heads - len(heads) - self.self.all_head_size = (self.self.attention_head_size * self.self.num_attention_heads) - self.pruned_heads = self.pruned_heads.union(heads) - - def forward( - self, - hidden_states, - attention_mask=None, - head_mask=None, - encoder_hidden_states=None, - encoder_attention_mask=None, - past_key_value=None, - output_attentions=False, - ): - self_outputs = self.self( - hidden_states, - attention_mask, - head_mask, - encoder_hidden_states, - encoder_attention_mask, - past_key_value, - output_attentions, - ) - attention_output = self.output(self_outputs[0], hidden_states) - - outputs = (attention_output, ) + self_outputs[1:] # add attentions if we output them - return outputs - - -class BertIntermediate(nn.Module): - def __init__(self, config): - super().__init__() - self.dense = nn.Linear(config.hidden_size, config.intermediate_size) - if isinstance(config.hidden_act, str): - self.intermediate_act_fn = ACT2FN[config.hidden_act] - else: - self.intermediate_act_fn = config.hidden_act - - def forward(self, hidden_states): - hidden_states = self.dense(hidden_states) - hidden_states = self.intermediate_act_fn(hidden_states) - return hidden_states - - -class BertOutput(nn.Module): - def __init__(self, config): - super().__init__() - self.dense = nn.Linear(config.intermediate_size, config.hidden_size) - self.LayerNorm = nn.LayerNorm(config.hidden_size, eps=config.layer_norm_eps) - self.dropout = nn.Dropout(config.hidden_dropout_prob) - - def forward(self, hidden_states, input_tensor): - hidden_states = self.dense(hidden_states) - hidden_states = self.dropout(hidden_states) - hidden_states = self.LayerNorm(hidden_states + input_tensor) - return hidden_states - - -class BertLayer(nn.Module): - def __init__(self, config, layer_num): - super().__init__() - self.config = config - self.chunk_size_feed_forward = config.chunk_size_feed_forward - self.seq_len_dim = 1 - self.attention = BertAttention(config) - self.layer_num = layer_num - if (self.config.add_cross_attention and layer_num % self.config.cross_attention_freq == 0): - self.crossattention = BertAttention(config, is_cross_attention=self.config.add_cross_attention) - self.has_cross_attention = True - else: - self.has_cross_attention = False - self.intermediate = BertIntermediate(config) - self.output = BertOutput(config) - - self.intermediate_query = BertIntermediate(config) - self.output_query = BertOutput(config) - - def forward( - self, - hidden_states, - attention_mask=None, - head_mask=None, - encoder_hidden_states=None, - encoder_attention_mask=None, - past_key_value=None, - output_attentions=False, - query_length=0, - ): - # decoder uni-directional self-attention cached key/values tuple is at positions 1,2 - self_attn_past_key_value = (past_key_value[:2] if past_key_value is not None else None) - # if past_key_value is not None: - # print(hidden_states.shape, attention_mask.shape) - #print(hidden_states.shape, attention_mask.shape) - # casual attention for query embeds with self attention - self_attention_outputs = self.attention( - hidden_states, - attention_mask, - head_mask, - output_attentions=output_attentions, - past_key_value=self_attn_past_key_value, - ) - #print('attention_mask', attention_mask.shape) - # if attention_mask.shape[-1] == 77: - # print('attention_mask', attention_mask[0]) - attention_output = self_attention_outputs[0] - outputs = self_attention_outputs[1:-1] - - present_key_value = self_attention_outputs[-1] - #print(present_key_value[0].shape) - - if query_length > 0: - query_attention_output = attention_output[:, :query_length, :] - - if self.has_cross_attention: - assert (encoder_hidden_states is not None), "encoder_hidden_states must be given for cross-attention layers" - #print(attention_mask.shape) - cross_attention_outputs = self.crossattention( - query_attention_output, - attention_mask, - head_mask, - encoder_hidden_states, - encoder_attention_mask, - output_attentions=output_attentions, - ) - query_attention_output = cross_attention_outputs[0] - outputs = (outputs + cross_attention_outputs[1:-1]) # add cross attentions if we output attention weights - - layer_output = apply_chunking_to_forward( - self.feed_forward_chunk_query, - self.chunk_size_feed_forward, - self.seq_len_dim, - query_attention_output, - ) - if attention_output.shape[1] > query_length: - layer_output_text = apply_chunking_to_forward( - self.feed_forward_chunk, - self.chunk_size_feed_forward, - self.seq_len_dim, - attention_output[:, query_length:, :], - ) - layer_output = torch.cat([layer_output, layer_output_text], dim=1) - else: - layer_output = apply_chunking_to_forward( - self.feed_forward_chunk, - self.chunk_size_feed_forward, - self.seq_len_dim, - attention_output, - ) - outputs = (layer_output, ) + outputs - - outputs = outputs + (present_key_value, ) - - return outputs - - def feed_forward_chunk(self, attention_output): - intermediate_output = self.intermediate(attention_output) - layer_output = self.output(intermediate_output, attention_output) - return layer_output - - def feed_forward_chunk_query(self, attention_output): - intermediate_output = self.intermediate_query(attention_output) - layer_output = self.output_query(intermediate_output, attention_output) - return layer_output - - -class BertEncoder(nn.Module): - def __init__(self, config): - super().__init__() - self.config = config - self.layer = nn.ModuleList([BertLayer(config, i) for i in range(config.num_hidden_layers)]) - - def forward( - self, - hidden_states, - attention_mask=None, - head_mask=None, - encoder_hidden_states=None, - encoder_attention_mask=None, - past_key_values=None, - use_cache=None, - output_attentions=False, - output_hidden_states=False, - return_dict=True, - query_length=0, - ): - all_hidden_states = () if output_hidden_states else None - all_self_attentions = () if output_attentions else None - all_cross_attentions = (() if output_attentions and self.config.add_cross_attention else None) - - next_decoder_cache = () if use_cache else None - - for i in range(self.config.num_hidden_layers): - layer_module = self.layer[i] - if output_hidden_states: - all_hidden_states = all_hidden_states + (hidden_states, ) - - layer_head_mask = head_mask[i] if head_mask is not None else None - past_key_value = past_key_values[i] if past_key_values is not None else None - # if past_key_value is not None: - # print(past_key_value[0].shape, past_key_value[1].shape) - - if getattr(self.config, "gradient_checkpointing", False) and self.training: - - if use_cache: - logger.warn("`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...") - use_cache = False - - def create_custom_forward(module): - def custom_forward(*inputs): - return module(*inputs, past_key_value, output_attentions, query_length) - - return custom_forward - - layer_outputs = torch.utils.checkpoint.checkpoint( - create_custom_forward(layer_module), - hidden_states, - attention_mask, - layer_head_mask, - encoder_hidden_states, - encoder_attention_mask, - ) - else: - layer_outputs = layer_module( - hidden_states, - attention_mask, - layer_head_mask, - encoder_hidden_states, - encoder_attention_mask, - past_key_value, - output_attentions, - query_length, - ) - # if past_key_value is not None: - # print(hidden_states.shape, attention_mask.shape) - # print(len(past_key_value)) - - hidden_states = layer_outputs[0] - if use_cache: - next_decoder_cache += (layer_outputs[-1], ) - #print(layer_outputs[-1][0].shape) - if output_attentions: - all_self_attentions = all_self_attentions + (layer_outputs[1], ) - all_cross_attentions = all_cross_attentions + (layer_outputs[2], ) - - if output_hidden_states: - all_hidden_states = all_hidden_states + (hidden_states, ) - - if not return_dict: - return tuple(v for v in [ - hidden_states, - next_decoder_cache, - all_hidden_states, - all_self_attentions, - all_cross_attentions, - ] if v is not None) - return BaseModelOutputWithPastAndCrossAttentions( - last_hidden_state=hidden_states, - past_key_values=next_decoder_cache, - hidden_states=all_hidden_states, - attentions=all_self_attentions, - cross_attentions=all_cross_attentions, - ) - - -class BertPooler(nn.Module): - def __init__(self, config): - super().__init__() - self.dense = nn.Linear(config.hidden_size, config.hidden_size) - self.activation = nn.Tanh() - - def forward(self, hidden_states): - # We "pool" the model by simply taking the hidden state corresponding - # to the first token. - first_token_tensor = hidden_states[:, 0] - pooled_output = self.dense(first_token_tensor) - pooled_output = self.activation(pooled_output) - return pooled_output - - -class BertPredictionHeadTransform(nn.Module): - def __init__(self, config): - super().__init__() - self.dense = nn.Linear(config.hidden_size, config.hidden_size) - if isinstance(config.hidden_act, str): - self.transform_act_fn = ACT2FN[config.hidden_act] - else: - self.transform_act_fn = config.hidden_act - self.LayerNorm = nn.LayerNorm(config.hidden_size, eps=config.layer_norm_eps) - - def forward(self, hidden_states): - hidden_states = self.dense(hidden_states) - hidden_states = self.transform_act_fn(hidden_states) - hidden_states = self.LayerNorm(hidden_states) - return hidden_states - - -class BertLMPredictionHead(nn.Module): - def __init__(self, config): - super().__init__() - self.transform = BertPredictionHeadTransform(config) - - # The output weights are the same as the input embeddings, but there is - # an output-only bias for each token. - self.decoder = nn.Linear(config.hidden_size, config.vocab_size, bias=False) - - self.bias = nn.Parameter(torch.zeros(config.vocab_size)) - - # Need a link between the two variables so that the bias is correctly resized with `resize_token_embeddings` - self.decoder.bias = self.bias - - def forward(self, hidden_states): - hidden_states = self.transform(hidden_states) - hidden_states = self.decoder(hidden_states) - return hidden_states - - -class BertOnlyMLMHead(nn.Module): - def __init__(self, config): - super().__init__() - self.predictions = BertLMPredictionHead(config) - - def forward(self, sequence_output): - prediction_scores = self.predictions(sequence_output) - return prediction_scores - - -class BertPreTrainedModel(PreTrainedModel): - """ - An abstract class to handle weights initialization and a simple interface for downloading and loading pretrained - models. - """ - - config_class = BertConfig - base_model_prefix = "bert" - _keys_to_ignore_on_load_missing = [r"position_ids"] - - def _init_weights(self, module): - """Initialize the weights""" - if isinstance(module, (nn.Linear, nn.Embedding)): - # Slightly different from the TF version which uses truncated_normal for initialization - # cf https://github.com/pytorch/pytorch/pull/5617 - module.weight.data.normal_(mean=0.0, std=self.config.initializer_range) - elif isinstance(module, nn.LayerNorm): - module.bias.data.zero_() - module.weight.data.fill_(1.0) - if isinstance(module, nn.Linear) and module.bias is not None: - module.bias.data.zero_() - - -class BertModel(BertPreTrainedModel): - """ - The model can behave as an encoder (with only self-attention) as well as a decoder, in which case a layer of - cross-attention is added between the self-attention layers, following the architecture described in `Attention is - all you need `__ by Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, - Llion Jones, Aidan N. Gomez, Lukasz Kaiser and Illia Polosukhin. - argument and :obj:`add_cross_attention` set to :obj:`True`; an :obj:`encoder_hidden_states` is then expected as an - input to the forward pass. - """ - def __init__(self, config, add_pooling_layer=False): - super().__init__(config) - self.config = config - - self.embeddings = BertEmbeddings(config) - - self.encoder = BertEncoder(config) - - self.pooler = BertPooler(config) if add_pooling_layer else None - - self.init_weights() - - def get_input_embeddings(self): - return self.embeddings.word_embeddings - - def set_input_embeddings(self, value): - self.embeddings.word_embeddings = value - - def _prune_heads(self, heads_to_prune): - """ - Prunes heads of the model. heads_to_prune: dict of {layer_num: list of heads to prune in this layer} See base - class PreTrainedModel - """ - for layer, heads in heads_to_prune.items(): - self.encoder.layer[layer].attention.prune_heads(heads) - - def get_extended_attention_mask( - self, - attention_mask: Tensor, - input_shape: Tuple[int], - device: device, - is_decoder: bool, - is_casual: bool, - has_query: bool = False, - ) -> Tensor: - """ - Makes broadcastable attention and causal masks so that future and masked tokens are ignored. - - Arguments: - attention_mask (:obj:`torch.Tensor`): - Mask with ones indicating tokens to attend to, zeros for tokens to ignore. - input_shape (:obj:`Tuple[int]`): - The shape of the input to the model. - device: (:obj:`torch.device`): - The device of the input to the model. - - Returns: - :obj:`torch.Tensor` The extended attention mask, with a the same dtype as :obj:`attention_mask.dtype`. - """ - # We can provide a self-attention mask of dimensions [batch_size, from_seq_length, to_seq_length] - # ourselves in which case we just need to make it broadcastable to all heads. - #print(attention_mask.dim()) - if attention_mask.dim() == 3: - extended_attention_mask = attention_mask[:, None, :, :] - elif attention_mask.dim() == 2: - # Provided a padding mask of dimensions [batch_size, seq_length] - # - if the model is a decoder, apply a causal mask in addition to the padding mask - # - if the model is an encoder, make the mask broadcastable to [batch_size, num_heads, seq_length, seq_length] - if is_decoder or is_casual: - batch_size, seq_length = input_shape - #print(input_shape) - if not is_decoder and seq_length > 32: - query_length = 32 - text_length = seq_length - query_length - query_ids = torch.arange(query_length, device=device) - query_causal_mask = (query_ids[None, None, :].repeat(batch_size, query_length, 1) <= query_ids[None, :, - None]) - causal_mask = torch.ones((batch_size, seq_length, seq_length), device=device) - causal_mask[:, :query_length, :query_length] = query_causal_mask - # print(query_causal_mask.shape, causal_mask.shape) - #print(causal_mask[0]) - - else: - seq_ids = torch.arange(seq_length, device=device) - causal_mask = (seq_ids[None, None, :].repeat(batch_size, seq_length, 1) <= seq_ids[None, :, None]) - - # add a prefix ones mask to the causal mask - # causal and attention masks must have same type with pytorch version < 1.3 - causal_mask = causal_mask.to(attention_mask.dtype) - # if is_decoder: - # print(causal_mask.shape, attention_mask.shape) - #print(causal_mask.shape, attention_mask.shape) - - if causal_mask.shape[1] < attention_mask.shape[1]: - prefix_seq_len = attention_mask.shape[1] - causal_mask.shape[1] - if has_query: # UniLM style attention mask - causal_mask = torch.cat( - [ - torch.zeros( - (batch_size, prefix_seq_len, seq_length), - device=device, - dtype=causal_mask.dtype, - ), - causal_mask, - ], - axis=1, - ) - causal_mask = torch.cat( - [ - torch.ones( - (batch_size, causal_mask.shape[1], prefix_seq_len), - device=device, - dtype=causal_mask.dtype, - ), - causal_mask, - ], - axis=-1, - ) - #print(has_query, causal_mask.shape) - #print(causal_mask[0]) - extended_attention_mask = (causal_mask[:, None, :, :] * attention_mask[:, None, None, :]) - #print(extended_attention_mask[0]) - #print('extended_attention_mask', extended_attention_mask.shape) - else: - extended_attention_mask = attention_mask[:, None, None, :] - #print(attention_mask.shape, extended_attention_mask.shape) - else: - raise ValueError("Wrong shape for input_ids (shape {}) or attention_mask (shape {})".format( - input_shape, attention_mask.shape)) - - # Since attention_mask is 1.0 for positions we want to attend and 0.0 for - # masked positions, this operation will create a tensor which is 0.0 for - # positions we want to attend and -10000.0 for masked positions. - # Since we are adding it to the raw scores before the softmax, this is - # effectively the same as removing these entirely. - extended_attention_mask = extended_attention_mask.to(dtype=self.dtype) # fp16 compatibility - extended_attention_mask = (1.0 - extended_attention_mask) * -10000.0 - return extended_attention_mask - - def forward( - self, - input_ids=None, - attention_mask=None, - position_ids=None, - head_mask=None, - query_embeds=None, - encoder_hidden_states=None, - encoder_attention_mask=None, - past_key_values=None, - use_cache=None, - output_attentions=None, - output_hidden_states=None, - return_dict=None, - is_decoder=False, - ): - r""" - encoder_hidden_states (:obj:`torch.FloatTensor` of shape :obj:`(batch_size, sequence_length, hidden_size)`, `optional`): - Sequence of hidden-states at the output of the last layer of the encoder. Used in the cross-attention if - the model is configured as a decoder. - encoder_attention_mask (:obj:`torch.FloatTensor` of shape :obj:`(batch_size, sequence_length)`, `optional`): - Mask to avoid performing attention on the padding token indices of the encoder input. This mask is used in - the cross-attention if the model is configured as a decoder. Mask values selected in ``[0, 1]``: - - 1 for tokens that are **not masked**, - - 0 for tokens that are **masked**. - past_key_values (:obj:`tuple(tuple(torch.FloatTensor))` of length :obj:`config.n_layers` with each tuple having 4 tensors of shape :obj:`(batch_size, num_heads, sequence_length - 1, embed_size_per_head)`): - Contains precomputed key and value hidden states of the attention blocks. Can be used to speed up decoding. - If :obj:`past_key_values` are used, the user can optionally input only the last :obj:`decoder_input_ids` - (those that don't have their past key value states given to this model) of shape :obj:`(batch_size, 1)` - instead of all :obj:`decoder_input_ids` of shape :obj:`(batch_size, sequence_length)`. - use_cache (:obj:`bool`, `optional`): - If set to :obj:`True`, :obj:`past_key_values` key value states are returned and can be used to speed up - decoding (see :obj:`past_key_values`). - """ - output_attentions = (output_attentions if output_attentions is not None else self.config.output_attentions) - output_hidden_states = (output_hidden_states if output_hidden_states is not None else self.config.output_hidden_states) - return_dict = (return_dict if return_dict is not None else self.config.use_return_dict) - - # use_cache = use_cache if use_cache is not None else self.config.use_cache - - if input_ids is None: - assert (query_embeds is not None), "You have to specify query_embeds when input_ids is None" - - #if query_embeds is not None: - if query_embeds is not None and query_embeds.shape[1] == 32: - is_casual = True - else: - is_casual = False - past_key_values_length = (past_key_values[0][0].shape[2] - - self.config.query_length if past_key_values is not None else 0) - - query_length = query_embeds.shape[1] if query_embeds is not None else 0 - - embedding_output = self.embeddings( - input_ids=input_ids, - position_ids=position_ids, - query_embeds=query_embeds, - past_key_values_length=past_key_values_length, - ) - - input_shape = embedding_output.size()[:-1] - batch_size, seq_length = input_shape - device = embedding_output.device - - #print('attention_mask', attention_mask) - if attention_mask is None: - attention_mask = torch.ones(((batch_size, seq_length + past_key_values_length)), device=device) - #print(seq_length, past_key_values_length) - - # We can provide a self-attention mask of dimensions [batch_size, from_seq_length, to_seq_length] - # ourselves in which case we just need to make it broadcastable to all heads. - if is_decoder: - #print(attention_mask.shape, input_ids.shape) - extended_attention_mask = self.get_extended_attention_mask( - attention_mask, - input_ids.shape, - device, - is_decoder, - is_casual, - has_query=(query_embeds is not None), - ) - else: - extended_attention_mask = self.get_extended_attention_mask( - attention_mask, - input_shape, - device, - is_decoder, - is_casual, - ) - #print(is_decoder, extended_attention_mask.shape) - # if is_decoder: - # print(extended_attention_mask[0,0,:,32:]) - # if attention_mask is not None: - # print(input_ids, embedding_output.shape, extended_attention_mask.shape) - - # If a 2D or 3D attention mask is provided for the cross-attention - # we need to make broadcastable to [batch_size, num_heads, seq_length, seq_length] - if encoder_hidden_states is not None: - if type(encoder_hidden_states) == list: - encoder_batch_size, encoder_sequence_length, _ = encoder_hidden_states[0].size() - else: - ( - encoder_batch_size, - encoder_sequence_length, - _, - ) = encoder_hidden_states.size() - encoder_hidden_shape = (encoder_batch_size, encoder_sequence_length) - - if type(encoder_attention_mask) == list: - encoder_extended_attention_mask = [self.invert_attention_mask(mask) for mask in encoder_attention_mask] - elif encoder_attention_mask is None: - encoder_attention_mask = torch.ones(encoder_hidden_shape, device=device) - encoder_extended_attention_mask = self.invert_attention_mask(encoder_attention_mask) - else: - encoder_extended_attention_mask = self.invert_attention_mask(encoder_attention_mask) - #print(is_casual, extended_attention_mask.shape, encoder_attention_mask.shape, encoder_extended_attention_mask.shape) - else: - encoder_extended_attention_mask = None - - # if input_ids is not None and query_embeds is not None: - # print(extended_attention_mask.shape, encoder_extended_attention_mask.shape) - # Prepare head mask if needed - # 1.0 in head_mask indicate we keep the head - # attention_probs has shape bsz x n_heads x N x N - # input head_mask has shape [num_heads] or [num_hidden_layers x num_heads] - # and head_mask is converted to shape [num_hidden_layers x batch x num_heads x seq_length x seq_length] - head_mask = self.get_head_mask(head_mask, self.config.num_hidden_layers) - #print(head_mask) - - encoder_outputs = self.encoder( - embedding_output, - attention_mask=extended_attention_mask, - head_mask=head_mask, - encoder_hidden_states=encoder_hidden_states, - encoder_attention_mask=encoder_extended_attention_mask, - past_key_values=past_key_values, - use_cache=use_cache, - output_attentions=output_attentions, - output_hidden_states=output_hidden_states, - return_dict=return_dict, - query_length=query_length, - ) - # if is_decoder: - # print(embedding_output.shape, attention_mask.shape, len(past_key_values)) - #print(embedding_output.shape, extended_attention_mask.shape, encoder_hidden_states.shape, encoder_extended_attention_mask.shape) - #print(extended_attention_mask[0], encoder_extended_attention_mask[0]) - - #print(query_embeds.shape, encoder_hidden_states.shape) - - sequence_output = encoder_outputs[0] - pooled_output = (self.pooler(sequence_output) if self.pooler is not None else None) - - if not return_dict: - return (sequence_output, pooled_output) + encoder_outputs[1:] - - return BaseModelOutputWithPoolingAndCrossAttentions( - last_hidden_state=sequence_output, - pooler_output=pooled_output, - past_key_values=encoder_outputs.past_key_values, - hidden_states=encoder_outputs.hidden_states, - attentions=encoder_outputs.attentions, - cross_attentions=encoder_outputs.cross_attentions, - ) - - -class BertLMHeadModel(BertPreTrainedModel): - - _keys_to_ignore_on_load_unexpected = [r"pooler"] - _keys_to_ignore_on_load_missing = [r"position_ids", r"predictions.decoder.bias"] - - def __init__(self, config): - super().__init__(config) - - self.bert = BertModel(config, add_pooling_layer=False) - self.cls = BertOnlyMLMHead(config) - - self.init_weights() - - def get_output_embeddings(self): - return self.cls.predictions.decoder - - def set_output_embeddings(self, new_embeddings): - self.cls.predictions.decoder = new_embeddings - - def forward( - self, - input_ids=None, - attention_mask=None, - position_ids=None, - head_mask=None, - query_embeds=None, - encoder_hidden_states=None, - encoder_attention_mask=None, - labels=None, - past_key_values=None, - use_cache=True, - output_attentions=None, - output_hidden_states=None, - return_dict=None, - return_logits=False, - is_decoder=True, - reduction="mean", - ): - r""" - encoder_hidden_states (:obj:`torch.FloatTensor` of shape :obj:`(batch_size, sequence_length, hidden_size)`, `optional`): - Sequence of hidden-states at the output of the last layer of the encoder. Used in the cross-attention if - the model is configured as a decoder. - encoder_attention_mask (:obj:`torch.FloatTensor` of shape :obj:`(batch_size, sequence_length)`, `optional`): - Mask to avoid performing attention on the padding token indices of the encoder input. This mask is used in - the cross-attention if the model is configured as a decoder. Mask values selected in ``[0, 1]``: - - 1 for tokens that are **not masked**, - - 0 for tokens that are **masked**. - labels (:obj:`torch.LongTensor` of shape :obj:`(batch_size, sequence_length)`, `optional`): - Labels for computing the left-to-right language modeling loss (next word prediction). Indices should be in - ``[-100, 0, ..., config.vocab_size]`` (see ``input_ids`` docstring) Tokens with indices set to ``-100`` are - ignored (masked), the loss is only computed for the tokens with labels n ``[0, ..., config.vocab_size]`` - past_key_values (:obj:`tuple(tuple(torch.FloatTensor))` of length :obj:`config.n_layers` with each tuple having 4 tensors of shape :obj:`(batch_size, num_heads, sequence_length - 1, embed_size_per_head)`): - Contains precomputed key and value hidden states of the attention blocks. Can be used to speed up decoding. - If :obj:`past_key_values` are used, the user can optionally input only the last :obj:`decoder_input_ids` - (those that don't have their past key value states given to this model) of shape :obj:`(batch_size, 1)` - instead of all :obj:`decoder_input_ids` of shape :obj:`(batch_size, sequence_length)`. - use_cache (:obj:`bool`, `optional`): - If set to :obj:`True`, :obj:`past_key_values` key value states are returned and can be used to speed up - decoding (see :obj:`past_key_values`). - Returns: - Example:: - >>> from transformers import BertTokenizer, BertLMHeadModel, BertConfig - >>> import torch - >>> tokenizer = BertTokenizer.from_pretrained('bert-base-cased') - >>> config = BertConfig.from_pretrained("bert-base-cased") - >>> model = BertLMHeadModel.from_pretrained('bert-base-cased', config=config) - >>> inputs = tokenizer("Hello, my dog is cute", return_tensors="pt") - >>> outputs = model(**inputs) - >>> prediction_logits = outputs.logits - """ - return_dict = (return_dict if return_dict is not None else self.config.use_return_dict) - if labels is not None: - use_cache = False - if past_key_values is not None: - query_embeds = None - #print(len(past_key_values)) - #print('attention_mask', attention_mask) - outputs = self.bert( - input_ids, - attention_mask=attention_mask, - position_ids=position_ids, - head_mask=head_mask, - query_embeds=query_embeds, - encoder_hidden_states=encoder_hidden_states, - encoder_attention_mask=encoder_attention_mask, - past_key_values=past_key_values, - use_cache=use_cache, - output_attentions=output_attentions, - output_hidden_states=output_hidden_states, - return_dict=return_dict, - is_decoder=is_decoder, - ) - - sequence_output = outputs[0] - if query_embeds is not None: - sequence_output = outputs[0][:, query_embeds.shape[1]:, :] - - prediction_scores = self.cls(sequence_output) - - if return_logits: - return prediction_scores[:, :-1, :].contiguous() - - lm_loss = None - if labels is not None: - # we are doing next-token prediction; shift prediction scores and input ids by one - shifted_prediction_scores = prediction_scores[:, :-1, :].contiguous() - labels = labels[:, 1:].contiguous() - loss_fct = CrossEntropyLoss(reduction=reduction, label_smoothing=0.1) - lm_loss = loss_fct( - shifted_prediction_scores.view(-1, self.config.vocab_size), - labels.view(-1), - ) - if reduction == "none": - lm_loss = lm_loss.view(prediction_scores.size(0), -1).sum(1) - - if not return_dict: - output = (prediction_scores, ) + outputs[2:] - return ((lm_loss, ) + output) if lm_loss is not None else output - - return CausalLMOutputWithCrossAttentions( - loss=lm_loss, - logits=prediction_scores, - past_key_values=outputs.past_key_values, - hidden_states=outputs.hidden_states, - attentions=outputs.attentions, - cross_attentions=outputs.cross_attentions, - ) - - def prepare_inputs_for_generation(self, input_ids, query_embeds, past=None, attention_mask=None, **model_kwargs): - # if model is used as a decoder in encoder-decoder model, the decoder attention mask is created on the fly - if attention_mask is None: - attention_mask = input_ids.new_ones(input_ids.shape) - query_mask = input_ids.new_ones(query_embeds.shape[:-1]) - attention_mask = torch.cat([query_mask, attention_mask], dim=-1) - - # cut decoder_input_ids if past is used - if past is not None: - input_ids = input_ids[:, -1:] - - return { - "input_ids": input_ids, - "query_embeds": query_embeds, - "attention_mask": attention_mask, - "past_key_values": past, - "encoder_hidden_states": model_kwargs.get("encoder_hidden_states", None), - "encoder_attention_mask": model_kwargs.get("encoder_attention_mask", None), - "is_decoder": True, - } - - def _reorder_cache(self, past, beam_idx): - reordered_past = () - for layer_past in past: - reordered_past += (tuple(past_state.index_select(0, beam_idx) for past_state in layer_past), ) - return reordered_past - - -class BertForMaskedLM(BertPreTrainedModel): - - _keys_to_ignore_on_load_unexpected = [r"pooler"] - _keys_to_ignore_on_load_missing = [r"position_ids", r"predictions.decoder.bias"] - - def __init__(self, config): - super().__init__(config) - - self.bert = BertModel(config, add_pooling_layer=False) - self.cls = BertOnlyMLMHead(config) - - self.init_weights() - - def get_output_embeddings(self): - return self.cls.predictions.decoder - - def set_output_embeddings(self, new_embeddings): - self.cls.predictions.decoder = new_embeddings - - def forward( - self, - input_ids=None, - attention_mask=None, - position_ids=None, - head_mask=None, - query_embeds=None, - encoder_hidden_states=None, - encoder_attention_mask=None, - labels=None, - output_attentions=None, - output_hidden_states=None, - return_dict=None, - return_logits=False, - is_decoder=False, - ): - r""" - labels (:obj:`torch.LongTensor` of shape :obj:`(batch_size, sequence_length)`, `optional`): - Labels for computing the masked language modeling loss. Indices should be in ``[-100, 0, ..., - config.vocab_size]`` (see ``input_ids`` docstring) Tokens with indices set to ``-100`` are ignored - (masked), the loss is only computed for the tokens with labels in ``[0, ..., config.vocab_size]`` - """ - - return_dict = (return_dict if return_dict is not None else self.config.use_return_dict) - - outputs = self.bert( - input_ids, - attention_mask=attention_mask, - position_ids=position_ids, - head_mask=head_mask, - query_embeds=query_embeds, - encoder_hidden_states=encoder_hidden_states, - encoder_attention_mask=encoder_attention_mask, - output_attentions=output_attentions, - output_hidden_states=output_hidden_states, - return_dict=return_dict, - is_decoder=is_decoder, - ) - - if query_embeds is not None: - sequence_output = outputs[0][:, query_embeds.shape[1]:, :] - prediction_scores = self.cls(sequence_output) - - if return_logits: - return prediction_scores - - masked_lm_loss = None - if labels is not None: - loss_fct = CrossEntropyLoss() # -100 index = padding token - masked_lm_loss = loss_fct(prediction_scores.view(-1, self.config.vocab_size), labels.view(-1)) - - if not return_dict: - output = (prediction_scores, ) + outputs[2:] - return (((masked_lm_loss, ) + output) if masked_lm_loss is not None else output) - - return MaskedLMOutput( - loss=masked_lm_loss, - logits=prediction_scores, - hidden_states=outputs.hidden_states, - attentions=outputs.attentions, - ) diff --git a/spaces/AIWaves/Software_Company/src/agents/Agent/__init__.py b/spaces/AIWaves/Software_Company/src/agents/Agent/__init__.py deleted file mode 100644 index 5919811a5cec1b9d44051cdb1e9ac26a21ee3064..0000000000000000000000000000000000000000 --- a/spaces/AIWaves/Software_Company/src/agents/Agent/__init__.py +++ /dev/null @@ -1 +0,0 @@ -from .Agent import Agent \ No newline at end of file diff --git a/spaces/AP123/dreamgaussian/main.py b/spaces/AP123/dreamgaussian/main.py deleted file mode 100644 index b25a769eb436157091b791d86a47e752d475454e..0000000000000000000000000000000000000000 --- a/spaces/AP123/dreamgaussian/main.py +++ /dev/null @@ -1,882 +0,0 @@ -import os -import cv2 -import time -import tqdm -import numpy as np -import dearpygui.dearpygui as dpg - -import torch -import torch.nn.functional as F - -import rembg - -from cam_utils import orbit_camera, OrbitCamera -from gs_renderer import Renderer, MiniCam - -from grid_put import mipmap_linear_grid_put_2d -from mesh import Mesh, safe_normalize - -class GUI: - def __init__(self, opt): - self.opt = opt # shared with the trainer's opt to support in-place modification of rendering parameters. - self.gui = opt.gui # enable gui - self.W = opt.W - self.H = opt.H - self.cam = OrbitCamera(opt.W, opt.H, r=opt.radius, fovy=opt.fovy) - - self.mode = "image" - self.seed = "random" - - self.buffer_image = np.ones((self.W, self.H, 3), dtype=np.float32) - self.need_update = True # update buffer_image - - # models - self.device = torch.device("cuda") - self.bg_remover = None - - self.guidance_sd = None - self.guidance_zero123 = None - - self.enable_sd = False - self.enable_zero123 = False - - # renderer - self.renderer = Renderer(sh_degree=self.opt.sh_degree) - self.gaussain_scale_factor = 1 - - # input image - self.input_img = None - self.input_mask = None - self.input_img_torch = None - self.input_mask_torch = None - self.overlay_input_img = False - self.overlay_input_img_ratio = 0.5 - - # input text - self.prompt = "" - self.negative_prompt = "" - - # training stuff - self.training = False - self.optimizer = None - self.step = 0 - self.train_steps = 1 # steps per rendering loop - - # load input data from cmdline - if self.opt.input is not None: - self.load_input(self.opt.input) - - # override prompt from cmdline - if self.opt.prompt is not None: - self.prompt = self.opt.prompt - - # override if provide a checkpoint - if self.opt.load is not None: - self.renderer.initialize(self.opt.load) - else: - # initialize gaussians to a blob - self.renderer.initialize(num_pts=self.opt.num_pts) - - if self.gui: - dpg.create_context() - self.register_dpg() - self.test_step() - - def __del__(self): - if self.gui: - dpg.destroy_context() - - def seed_everything(self): - try: - seed = int(self.seed) - except: - seed = np.random.randint(0, 1000000) - - os.environ["PYTHONHASHSEED"] = str(seed) - np.random.seed(seed) - torch.manual_seed(seed) - torch.cuda.manual_seed(seed) - torch.backends.cudnn.deterministic = True - torch.backends.cudnn.benchmark = True - - self.last_seed = seed - - def prepare_train(self): - - self.step = 0 - - # setup training - self.renderer.gaussians.training_setup(self.opt) - # do not do progressive sh-level - self.renderer.gaussians.active_sh_degree = self.renderer.gaussians.max_sh_degree - self.optimizer = self.renderer.gaussians.optimizer - - # default camera - pose = orbit_camera(self.opt.elevation, 0, self.opt.radius) - self.fixed_cam = MiniCam( - pose, - self.opt.ref_size, - self.opt.ref_size, - self.cam.fovy, - self.cam.fovx, - self.cam.near, - self.cam.far, - ) - - self.enable_sd = self.opt.lambda_sd > 0 and self.prompt != "" - self.enable_zero123 = self.opt.lambda_zero123 > 0 and self.input_img is not None - - # lazy load guidance model - if self.guidance_sd is None and self.enable_sd: - print(f"[INFO] loading SD...") - from guidance.sd_utils import StableDiffusion - self.guidance_sd = StableDiffusion(self.device) - print(f"[INFO] loaded SD!") - - if self.guidance_zero123 is None and self.enable_zero123: - print(f"[INFO] loading zero123...") - from guidance.zero123_utils import Zero123 - self.guidance_zero123 = Zero123(self.device) - print(f"[INFO] loaded zero123!") - - # input image - if self.input_img is not None: - self.input_img_torch = torch.from_numpy(self.input_img).permute(2, 0, 1).unsqueeze(0).to(self.device) - self.input_img_torch = F.interpolate(self.input_img_torch, (self.opt.ref_size, self.opt.ref_size), mode="bilinear", align_corners=False) - - self.input_mask_torch = torch.from_numpy(self.input_mask).permute(2, 0, 1).unsqueeze(0).to(self.device) - self.input_mask_torch = F.interpolate(self.input_mask_torch, (self.opt.ref_size, self.opt.ref_size), mode="bilinear", align_corners=False) - - # prepare embeddings - with torch.no_grad(): - - if self.enable_sd: - self.guidance_sd.get_text_embeds([self.prompt], [self.negative_prompt]) - - if self.enable_zero123: - self.guidance_zero123.get_img_embeds(self.input_img_torch) - - def train_step(self): - starter = torch.cuda.Event(enable_timing=True) - ender = torch.cuda.Event(enable_timing=True) - starter.record() - - for _ in range(self.train_steps): - - self.step += 1 - step_ratio = min(1, self.step / self.opt.iters) - - # update lr - self.renderer.gaussians.update_learning_rate(self.step) - - loss = 0 - - ### known view - if self.input_img_torch is not None: - cur_cam = self.fixed_cam - out = self.renderer.render(cur_cam) - - # rgb loss - image = out["image"].unsqueeze(0) # [1, 3, H, W] in [0, 1] - loss = loss + 10000 * step_ratio * F.mse_loss(image, self.input_img_torch) - - # mask loss - mask = out["alpha"].unsqueeze(0) # [1, 1, H, W] in [0, 1] - loss = loss + 1000 * step_ratio * F.mse_loss(mask, self.input_mask_torch) - - ### novel view (manual batch) - render_resolution = 128 if step_ratio < 0.3 else (256 if step_ratio < 0.6 else 512) - images = [] - vers, hors, radii = [], [], [] - # avoid too large elevation (> 80 or < -80), and make sure it always cover [-30, 30] - min_ver = max(min(-30, -30 - self.opt.elevation), -80 - self.opt.elevation) - max_ver = min(max(30, 30 - self.opt.elevation), 80 - self.opt.elevation) - for _ in range(self.opt.batch_size): - - # render random view - ver = np.random.randint(min_ver, max_ver) - hor = np.random.randint(-180, 180) - radius = 0 - - vers.append(ver) - hors.append(hor) - radii.append(radius) - - pose = orbit_camera(self.opt.elevation + ver, hor, self.opt.radius + radius) - - cur_cam = MiniCam( - pose, - render_resolution, - render_resolution, - self.cam.fovy, - self.cam.fovx, - self.cam.near, - self.cam.far, - ) - - invert_bg_color = np.random.rand() > self.opt.invert_bg_prob - out = self.renderer.render(cur_cam, invert_bg_color=invert_bg_color) - - image = out["image"].unsqueeze(0)# [1, 3, H, W] in [0, 1] - images.append(image) - - images = torch.cat(images, dim=0) - - # import kiui - # kiui.lo(hor, ver) - # kiui.vis.plot_image(image) - - # guidance loss - if self.enable_sd: - loss = loss + self.opt.lambda_sd * self.guidance_sd.train_step(images, step_ratio) - - if self.enable_zero123: - loss = loss + self.opt.lambda_zero123 * self.guidance_zero123.train_step(images, vers, hors, radii, step_ratio) - - # optimize step - loss.backward() - self.optimizer.step() - self.optimizer.zero_grad() - - # densify and prune - if self.step >= self.opt.density_start_iter and self.step <= self.opt.density_end_iter: - viewspace_point_tensor, visibility_filter, radii = out["viewspace_points"], out["visibility_filter"], out["radii"] - self.renderer.gaussians.max_radii2D[visibility_filter] = torch.max(self.renderer.gaussians.max_radii2D[visibility_filter], radii[visibility_filter]) - self.renderer.gaussians.add_densification_stats(viewspace_point_tensor, visibility_filter) - - if self.step % self.opt.densification_interval == 0: - # size_threshold = 20 if self.step > self.opt.opacity_reset_interval else None - self.renderer.gaussians.densify_and_prune(self.opt.densify_grad_threshold, min_opacity=0.01, extent=0.5, max_screen_size=1) - - if self.step % self.opt.opacity_reset_interval == 0: - self.renderer.gaussians.reset_opacity() - - ender.record() - torch.cuda.synchronize() - t = starter.elapsed_time(ender) - - self.need_update = True - - if self.gui: - dpg.set_value("_log_train_time", f"{t:.4f}ms") - dpg.set_value( - "_log_train_log", - f"step = {self.step: 5d} (+{self.train_steps: 2d}) loss = {loss.item():.4f}", - ) - - # dynamic train steps (no need for now) - # max allowed train time per-frame is 500 ms - # full_t = t / self.train_steps * 16 - # train_steps = min(16, max(4, int(16 * 500 / full_t))) - # if train_steps > self.train_steps * 1.2 or train_steps < self.train_steps * 0.8: - # self.train_steps = train_steps - - @torch.no_grad() - def test_step(self): - # ignore if no need to update - if not self.need_update: - return - - starter = torch.cuda.Event(enable_timing=True) - ender = torch.cuda.Event(enable_timing=True) - starter.record() - - # should update image - if self.need_update: - # render image - - cur_cam = MiniCam( - self.cam.pose, - self.W, - self.H, - self.cam.fovy, - self.cam.fovx, - self.cam.near, - self.cam.far, - ) - - out = self.renderer.render(cur_cam, self.gaussain_scale_factor) - - buffer_image = out[self.mode] # [3, H, W] - - if self.mode in ['depth', 'alpha']: - buffer_image = buffer_image.repeat(3, 1, 1) - if self.mode == 'depth': - buffer_image = (buffer_image - buffer_image.min()) / (buffer_image.max() - buffer_image.min() + 1e-20) - - buffer_image = F.interpolate( - buffer_image.unsqueeze(0), - size=(self.H, self.W), - mode="bilinear", - align_corners=False, - ).squeeze(0) - - self.buffer_image = ( - buffer_image.permute(1, 2, 0) - .contiguous() - .clamp(0, 1) - .contiguous() - .detach() - .cpu() - .numpy() - ) - - # display input_image - if self.overlay_input_img and self.input_img is not None: - self.buffer_image = ( - self.buffer_image * (1 - self.overlay_input_img_ratio) - + self.input_img * self.overlay_input_img_ratio - ) - - self.need_update = False - - ender.record() - torch.cuda.synchronize() - t = starter.elapsed_time(ender) - - if self.gui: - dpg.set_value("_log_infer_time", f"{t:.4f}ms ({int(1000/t)} FPS)") - dpg.set_value( - "_texture", self.buffer_image - ) # buffer must be contiguous, else seg fault! - - - def load_input(self, file): - # load image - print(f'[INFO] load image from {file}...') - img = cv2.imread(file, cv2.IMREAD_UNCHANGED) - if img.shape[-1] == 3: - if self.bg_remover is None: - self.bg_remover = rembg.new_session() - img = rembg.remove(img, session=self.bg_remover) - - img = cv2.resize(img, (self.W, self.H), interpolation=cv2.INTER_AREA) - img = img.astype(np.float32) / 255.0 - - self.input_mask = img[..., 3:] - # white bg - self.input_img = img[..., :3] * self.input_mask + (1 - self.input_mask) - # bgr to rgb - self.input_img = self.input_img[..., ::-1].copy() - - # load prompt - file_prompt = file.replace("_rgba.png", "_caption.txt") - if os.path.exists(file_prompt): - print(f'[INFO] load prompt from {file_prompt}...') - with open(file_prompt, "r") as f: - self.prompt = f.read().strip() - - @torch.no_grad() - def save_model(self, mode='geo', texture_size=1024): - os.makedirs(self.opt.outdir, exist_ok=True) - if mode == 'geo': - path = os.path.join(self.opt.outdir, self.opt.save_path + '_mesh.ply') - mesh = self.renderer.gaussians.extract_mesh(path, self.opt.density_thresh) - mesh.write_ply(path) - - elif mode == 'geo+tex': - path = os.path.join(self.opt.outdir, self.opt.save_path + '_mesh.obj') - mesh = self.renderer.gaussians.extract_mesh(path, self.opt.density_thresh) - - # perform texture extraction - print(f"[INFO] unwrap uv...") - h = w = texture_size - mesh.auto_uv() - mesh.auto_normal() - - albedo = torch.zeros((h, w, 3), device=self.device, dtype=torch.float32) - cnt = torch.zeros((h, w, 1), device=self.device, dtype=torch.float32) - - # self.prepare_train() # tmp fix for not loading 0123 - # vers = [0] - # hors = [0] - vers = [0] * 8 + [-45] * 8 + [45] * 8 + [-89.9, 89.9] - hors = [0, 45, -45, 90, -90, 135, -135, 180] * 3 + [0, 0] - - render_resolution = 512 - - import nvdiffrast.torch as dr - - if not self.opt.gui or os.name == 'nt': - glctx = dr.RasterizeGLContext() - else: - glctx = dr.RasterizeCudaContext() - - for ver, hor in zip(vers, hors): - # render image - pose = orbit_camera(ver, hor, self.cam.radius) - - cur_cam = MiniCam( - pose, - render_resolution, - render_resolution, - self.cam.fovy, - self.cam.fovx, - self.cam.near, - self.cam.far, - ) - - cur_out = self.renderer.render(cur_cam) - - rgbs = cur_out["image"].unsqueeze(0) # [1, 3, H, W] in [0, 1] - - # enhance texture quality with zero123 [not working well] - # if self.opt.guidance_model == 'zero123': - # rgbs = self.guidance.refine(rgbs, [ver], [hor], [0]) - # import kiui - # kiui.vis.plot_image(rgbs) - - # get coordinate in texture image - pose = torch.from_numpy(pose.astype(np.float32)).to(self.device) - proj = torch.from_numpy(self.cam.perspective.astype(np.float32)).to(self.device) - - v_cam = torch.matmul(F.pad(mesh.v, pad=(0, 1), mode='constant', value=1.0), torch.inverse(pose).T).float().unsqueeze(0) - v_clip = v_cam @ proj.T - rast, rast_db = dr.rasterize(glctx, v_clip, mesh.f, (render_resolution, render_resolution)) - - depth, _ = dr.interpolate(-v_cam[..., [2]], rast, mesh.f) # [1, H, W, 1] - depth = depth.squeeze(0) # [H, W, 1] - - alpha = (rast[0, ..., 3:] > 0).float() - - uvs, _ = dr.interpolate(mesh.vt.unsqueeze(0), rast, mesh.ft) # [1, 512, 512, 2] in [0, 1] - - # use normal to produce a back-project mask - normal, _ = dr.interpolate(mesh.vn.unsqueeze(0).contiguous(), rast, mesh.fn) - normal = safe_normalize(normal[0]) - - # rotated normal (where [0, 0, 1] always faces camera) - rot_normal = normal @ pose[:3, :3] - viewcos = rot_normal[..., [2]] - - mask = (alpha > 0) & (viewcos > 0.5) # [H, W, 1] - mask = mask.view(-1) - - uvs = uvs.view(-1, 2).clamp(0, 1)[mask] - rgbs = rgbs.view(3, -1).permute(1, 0)[mask].contiguous() - - # update texture image - cur_albedo, cur_cnt = mipmap_linear_grid_put_2d( - h, w, - uvs[..., [1, 0]] * 2 - 1, - rgbs, - min_resolution=256, - return_count=True, - ) - - # albedo += cur_albedo - # cnt += cur_cnt - mask = cnt.squeeze(-1) < 0.1 - albedo[mask] += cur_albedo[mask] - cnt[mask] += cur_cnt[mask] - - mask = cnt.squeeze(-1) > 0 - albedo[mask] = albedo[mask] / cnt[mask].repeat(1, 3) - - mask = mask.view(h, w) - - albedo = albedo.detach().cpu().numpy() - mask = mask.detach().cpu().numpy() - - # dilate texture - from sklearn.neighbors import NearestNeighbors - from scipy.ndimage import binary_dilation, binary_erosion - - inpaint_region = binary_dilation(mask, iterations=32) - inpaint_region[mask] = 0 - - search_region = mask.copy() - not_search_region = binary_erosion(search_region, iterations=3) - search_region[not_search_region] = 0 - - search_coords = np.stack(np.nonzero(search_region), axis=-1) - inpaint_coords = np.stack(np.nonzero(inpaint_region), axis=-1) - - knn = NearestNeighbors(n_neighbors=1, algorithm="kd_tree").fit( - search_coords - ) - _, indices = knn.kneighbors(inpaint_coords) - - albedo[tuple(inpaint_coords.T)] = albedo[tuple(search_coords[indices[:, 0]].T)] - - mesh.albedo = torch.from_numpy(albedo).to(self.device) - mesh.write(path) - - else: - path = os.path.join(self.opt.outdir, self.opt.save_path + '_model.ply') - self.renderer.gaussians.save_ply(path) - - print(f"[INFO] save model to {path}.") - - def register_dpg(self): - ### register texture - - with dpg.texture_registry(show=False): - dpg.add_raw_texture( - self.W, - self.H, - self.buffer_image, - format=dpg.mvFormat_Float_rgb, - tag="_texture", - ) - - ### register window - - # the rendered image, as the primary window - with dpg.window( - tag="_primary_window", - width=self.W, - height=self.H, - pos=[0, 0], - no_move=True, - no_title_bar=True, - no_scrollbar=True, - ): - # add the texture - dpg.add_image("_texture") - - # dpg.set_primary_window("_primary_window", True) - - # control window - with dpg.window( - label="Control", - tag="_control_window", - width=600, - height=self.H, - pos=[self.W, 0], - no_move=True, - no_title_bar=True, - ): - # button theme - with dpg.theme() as theme_button: - with dpg.theme_component(dpg.mvButton): - dpg.add_theme_color(dpg.mvThemeCol_Button, (23, 3, 18)) - dpg.add_theme_color(dpg.mvThemeCol_ButtonHovered, (51, 3, 47)) - dpg.add_theme_color(dpg.mvThemeCol_ButtonActive, (83, 18, 83)) - dpg.add_theme_style(dpg.mvStyleVar_FrameRounding, 5) - dpg.add_theme_style(dpg.mvStyleVar_FramePadding, 3, 3) - - # timer stuff - with dpg.group(horizontal=True): - dpg.add_text("Infer time: ") - dpg.add_text("no data", tag="_log_infer_time") - - def callback_setattr(sender, app_data, user_data): - setattr(self, user_data, app_data) - - # init stuff - with dpg.collapsing_header(label="Initialize", default_open=True): - - # seed stuff - def callback_set_seed(sender, app_data): - self.seed = app_data - self.seed_everything() - - dpg.add_input_text( - label="seed", - default_value=self.seed, - on_enter=True, - callback=callback_set_seed, - ) - - # input stuff - def callback_select_input(sender, app_data): - # only one item - for k, v in app_data["selections"].items(): - dpg.set_value("_log_input", k) - self.load_input(v) - - self.need_update = True - - with dpg.file_dialog( - directory_selector=False, - show=False, - callback=callback_select_input, - file_count=1, - tag="file_dialog_tag", - width=700, - height=400, - ): - dpg.add_file_extension("Images{.jpg,.jpeg,.png}") - - with dpg.group(horizontal=True): - dpg.add_button( - label="input", - callback=lambda: dpg.show_item("file_dialog_tag"), - ) - dpg.add_text("", tag="_log_input") - - # overlay stuff - with dpg.group(horizontal=True): - - def callback_toggle_overlay_input_img(sender, app_data): - self.overlay_input_img = not self.overlay_input_img - self.need_update = True - - dpg.add_checkbox( - label="overlay image", - default_value=self.overlay_input_img, - callback=callback_toggle_overlay_input_img, - ) - - def callback_set_overlay_input_img_ratio(sender, app_data): - self.overlay_input_img_ratio = app_data - self.need_update = True - - dpg.add_slider_float( - label="ratio", - min_value=0, - max_value=1, - format="%.1f", - default_value=self.overlay_input_img_ratio, - callback=callback_set_overlay_input_img_ratio, - ) - - # prompt stuff - - dpg.add_input_text( - label="prompt", - default_value=self.prompt, - callback=callback_setattr, - user_data="prompt", - ) - - dpg.add_input_text( - label="negative", - default_value=self.negative_prompt, - callback=callback_setattr, - user_data="negative_prompt", - ) - - # save current model - with dpg.group(horizontal=True): - dpg.add_text("Save: ") - - def callback_save(sender, app_data, user_data): - self.save_model(mode=user_data) - - dpg.add_button( - label="model", - tag="_button_save_model", - callback=callback_save, - user_data='model', - ) - dpg.bind_item_theme("_button_save_model", theme_button) - - dpg.add_button( - label="geo", - tag="_button_save_mesh", - callback=callback_save, - user_data='geo', - ) - dpg.bind_item_theme("_button_save_mesh", theme_button) - - dpg.add_button( - label="geo+tex", - tag="_button_save_mesh_with_tex", - callback=callback_save, - user_data='geo+tex', - ) - dpg.bind_item_theme("_button_save_mesh_with_tex", theme_button) - - dpg.add_input_text( - label="", - default_value=self.opt.save_path, - callback=callback_setattr, - user_data="save_path", - ) - - # training stuff - with dpg.collapsing_header(label="Train", default_open=True): - # lr and train button - with dpg.group(horizontal=True): - dpg.add_text("Train: ") - - def callback_train(sender, app_data): - if self.training: - self.training = False - dpg.configure_item("_button_train", label="start") - else: - self.prepare_train() - self.training = True - dpg.configure_item("_button_train", label="stop") - - # dpg.add_button( - # label="init", tag="_button_init", callback=self.prepare_train - # ) - # dpg.bind_item_theme("_button_init", theme_button) - - dpg.add_button( - label="start", tag="_button_train", callback=callback_train - ) - dpg.bind_item_theme("_button_train", theme_button) - - with dpg.group(horizontal=True): - dpg.add_text("", tag="_log_train_time") - dpg.add_text("", tag="_log_train_log") - - # rendering options - with dpg.collapsing_header(label="Rendering", default_open=True): - # mode combo - def callback_change_mode(sender, app_data): - self.mode = app_data - self.need_update = True - - dpg.add_combo( - ("image", "depth", "alpha"), - label="mode", - default_value=self.mode, - callback=callback_change_mode, - ) - - # fov slider - def callback_set_fovy(sender, app_data): - self.cam.fovy = np.deg2rad(app_data) - self.need_update = True - - dpg.add_slider_int( - label="FoV (vertical)", - min_value=1, - max_value=120, - format="%d deg", - default_value=np.rad2deg(self.cam.fovy), - callback=callback_set_fovy, - ) - - def callback_set_gaussain_scale(sender, app_data): - self.gaussain_scale_factor = app_data - self.need_update = True - - dpg.add_slider_float( - label="gaussain scale", - min_value=0, - max_value=1, - format="%.2f", - default_value=self.gaussain_scale_factor, - callback=callback_set_gaussain_scale, - ) - - ### register camera handler - - def callback_camera_drag_rotate_or_draw_mask(sender, app_data): - if not dpg.is_item_focused("_primary_window"): - return - - dx = app_data[1] - dy = app_data[2] - - self.cam.orbit(dx, dy) - self.need_update = True - - def callback_camera_wheel_scale(sender, app_data): - if not dpg.is_item_focused("_primary_window"): - return - - delta = app_data - - self.cam.scale(delta) - self.need_update = True - - def callback_camera_drag_pan(sender, app_data): - if not dpg.is_item_focused("_primary_window"): - return - - dx = app_data[1] - dy = app_data[2] - - self.cam.pan(dx, dy) - self.need_update = True - - def callback_set_mouse_loc(sender, app_data): - if not dpg.is_item_focused("_primary_window"): - return - - # just the pixel coordinate in image - self.mouse_loc = np.array(app_data) - - with dpg.handler_registry(): - # for camera moving - dpg.add_mouse_drag_handler( - button=dpg.mvMouseButton_Left, - callback=callback_camera_drag_rotate_or_draw_mask, - ) - dpg.add_mouse_wheel_handler(callback=callback_camera_wheel_scale) - dpg.add_mouse_drag_handler( - button=dpg.mvMouseButton_Middle, callback=callback_camera_drag_pan - ) - - dpg.create_viewport( - title="Gaussian3D", - width=self.W + 600, - height=self.H + (45 if os.name == "nt" else 0), - resizable=False, - ) - - ### global theme - with dpg.theme() as theme_no_padding: - with dpg.theme_component(dpg.mvAll): - # set all padding to 0 to avoid scroll bar - dpg.add_theme_style( - dpg.mvStyleVar_WindowPadding, 0, 0, category=dpg.mvThemeCat_Core - ) - dpg.add_theme_style( - dpg.mvStyleVar_FramePadding, 0, 0, category=dpg.mvThemeCat_Core - ) - dpg.add_theme_style( - dpg.mvStyleVar_CellPadding, 0, 0, category=dpg.mvThemeCat_Core - ) - - dpg.bind_item_theme("_primary_window", theme_no_padding) - - dpg.setup_dearpygui() - - ### register a larger font - # get it from: https://github.com/lxgw/LxgwWenKai/releases/download/v1.300/LXGWWenKai-Regular.ttf - if os.path.exists("LXGWWenKai-Regular.ttf"): - with dpg.font_registry(): - with dpg.font("LXGWWenKai-Regular.ttf", 18) as default_font: - dpg.bind_font(default_font) - - # dpg.show_metrics() - - dpg.show_viewport() - - def render(self): - assert self.gui - while dpg.is_dearpygui_running(): - # update texture every frame - if self.training: - self.train_step() - self.test_step() - dpg.render_dearpygui_frame() - - # no gui mode - def train(self, iters=500): - if iters > 0: - self.prepare_train() - for i in tqdm.trange(iters): - self.train_step() - # do a last prune - self.renderer.gaussians.prune(min_opacity=0.01, extent=1, max_screen_size=1) - # save - self.save_model(mode='model') - self.save_model(mode='geo+tex') - - -if __name__ == "__main__": - import argparse - from omegaconf import OmegaConf - - parser = argparse.ArgumentParser() - parser.add_argument("--config", required=True, help="path to the yaml config file") - args, extras = parser.parse_known_args() - - # override default config from cli - opt = OmegaConf.merge(OmegaConf.load(args.config), OmegaConf.from_cli(extras)) - - gui = GUI(opt) - - if opt.gui: - gui.render() - else: - gui.train(opt.iters) diff --git a/spaces/AgentVerse/agentVerse/agentverse/memory/__init__.py b/spaces/AgentVerse/agentVerse/agentverse/memory/__init__.py deleted file mode 100644 index fe6ffc2e8392f6452c3a1ac7266a95ad2513ad7a..0000000000000000000000000000000000000000 --- a/spaces/AgentVerse/agentVerse/agentverse/memory/__init__.py +++ /dev/null @@ -1,9 +0,0 @@ -from agentverse.registry import Registry - -memory_registry = Registry(name="MemoryRegistry") - -from .base import BaseMemory -from .chat_history import ChatHistoryMemory -from .summary import SummaryMemory -from .sde_team import SdeTeamMemory -from .vectorstore import VectorStoreMemory diff --git a/spaces/AgentVerse/agentVerse/ui/src/phaser3-rex-plugins/templates/bejeweled/states/MatchState.js b/spaces/AgentVerse/agentVerse/ui/src/phaser3-rex-plugins/templates/bejeweled/states/MatchState.js deleted file mode 100644 index 9ebd32a310f56bfd26dd61842be0ae6913ae8741..0000000000000000000000000000000000000000 --- a/spaces/AgentVerse/agentVerse/ui/src/phaser3-rex-plugins/templates/bejeweled/states/MatchState.js +++ /dev/null @@ -1,160 +0,0 @@ -import BaseState from './BaseState.js'; -import EliminateChess from '../actions/EliminateChess.js'; -import FallingAllChess from '../actions/FallingAllChess.js'; - -const GetValue = Phaser.Utils.Objects.GetValue; -const SetStruct = Phaser.Structs.Set; - -class State extends BaseState { - constructor(bejeweled, config) { - super(bejeweled, config); - // this.bejeweled = bejeweled; // Bejeweled - // this.board = bejeweled.board; // Bejeweled.board - - this.totalMatchedLinesCount = 0; - this.eliminatedChessArray; - - // Actions - // Eliminating action - this.eliminatingAction = GetValue(config, 'eliminatingAction', EliminateChess); - // on falling chess - this.fallingAction = GetValue(config, 'fallingAction', FallingAllChess); - - var debug = GetValue(config, 'debug', false); - if (debug) { - this.on('statechange', this.printState, this); - } - } - - shutdown() { - super.shutdown(); - - this.eliminatedChessArray = undefined; - // Actions - this.eliminatingAction = undefined; - this.fallingAction = undefined; - return this; - } - - destroy() { - this.shutdown(); - return this; - } - - // START - enter_START() { - this.totalMatchedLinesCount = 0; - - this.bejeweled.emit('match-start', this.board.board, this.bejeweled); - - this.next(); - } - next_START() { - return 'MATCH3'; - } - // START - - // MATCH3 - enter_MATCH3() { - var matchedLines = this.board.getAllMatch(); - - this.bejeweled.emit('match', matchedLines, this.board.board, this.bejeweled); - - var matchedLinesCount = matchedLines.length; - this.totalMatchedLinesCount += matchedLinesCount; - switch (matchedLinesCount) { - case 0: - this.eliminatedChessArray = []; - break; - case 1: - this.eliminatedChessArray = matchedLines[0].entries; - break; - default: - // Put all chess to a set - var newSet = new SetStruct(); - for (var i = 0; i < matchedLinesCount; i++) { - matchedLines[i].entries.forEach(function (value) { - newSet.set(value); - }); - } - this.eliminatedChessArray = newSet.entries; - break; - } - this.next(); - } - next_MATCH3() { - var nextState; - if (this.eliminatedChessArray.length === 0) { - nextState = 'END' - } else { - nextState = 'ELIMINATING'; - } - return nextState; - } - // MATCH3 - - // ELIMINATING - enter_ELIMINATING() { - var board = this.board.board, - chessArray = this.eliminatedChessArray; - - this.bejeweled.emit('eliminate', chessArray, board, this.bejeweled); - - this.eliminatingAction(chessArray, board, this.bejeweled); - - // Remove eliminated chess - chessArray.forEach(board.removeChess, board); - - // To next state when all completed - this.next(); - } - next_ELIMINATING() { - return 'FALLING'; - } - exit_ELIMINATING() { - this.eliminatedChessArray = undefined; - } - // ELIMINATING - - // FALLING - enter_FALLING() { - var board = this.board.board; - - this.bejeweled.emit('fall', board, this.bejeweled); - - this.fallingAction(board, this.bejeweled); - - // To next state when all completed - this.next(); - } - next_FALLING() { - return 'FILL'; - } - // FALLING - - // FILL - enter_FILL() { - this.board.fill(true); // Fill upper board only - - this.bejeweled.emit('fill', this.board.board, this.bejeweled); - - this.next(); - } - next_FILL() { - return 'MATCH3'; - } - // FILL - - // END - enter_END() { - this.bejeweled.emit('match-end', this.board.board, this.bejeweled); - - this.emit('complete'); - } - // END - - printState() { - console.log('Match state: ' + this.prevState + ' -> ' + this.state); - } -} -export default State; \ No newline at end of file diff --git a/spaces/AgentVerse/agentVerse/ui/src/phaser3-rex-plugins/templates/spinner/cube/Cube.d.ts b/spaces/AgentVerse/agentVerse/ui/src/phaser3-rex-plugins/templates/spinner/cube/Cube.d.ts deleted file mode 100644 index 4f0ad920b8a970ef840b2b35ed0cce8dfce02fdc..0000000000000000000000000000000000000000 --- a/spaces/AgentVerse/agentVerse/ui/src/phaser3-rex-plugins/templates/spinner/cube/Cube.d.ts +++ /dev/null @@ -1,2 +0,0 @@ -import Base from '../base/Base'; -export default class Cube extends Base { } \ No newline at end of file diff --git a/spaces/AgentVerse/agentVerse/ui/src/phaser3-rex-plugins/templates/ui/fixwidthsizer/Factory.d.ts b/spaces/AgentVerse/agentVerse/ui/src/phaser3-rex-plugins/templates/ui/fixwidthsizer/Factory.d.ts deleted file mode 100644 index 3f248fb6268476d2b4bd09c98d9ea702c1ddc10e..0000000000000000000000000000000000000000 --- a/spaces/AgentVerse/agentVerse/ui/src/phaser3-rex-plugins/templates/ui/fixwidthsizer/Factory.d.ts +++ /dev/null @@ -1,17 +0,0 @@ -import FixWidthSizer from './FixWidthSizer'; - - -export default function ( - config?: FixWidthSizer.IConfig -): FixWidthSizer; - -export default function ( - x: number, y: number, - config?: FixWidthSizer.IConfig -): FixWidthSizer; - -export default function ( - x: number, y: number, - width: number, height: number, - config?: FixWidthSizer.IConfig -): FixWidthSizer; \ No newline at end of file diff --git a/spaces/Amon1/ChatGPTForAcadamic/main.py b/spaces/Amon1/ChatGPTForAcadamic/main.py deleted file mode 100644 index 56de81715f048e7eb15cbb809bac1c3fe7daca61..0000000000000000000000000000000000000000 --- a/spaces/Amon1/ChatGPTForAcadamic/main.py +++ /dev/null @@ -1,145 +0,0 @@ -import os; os.environ['no_proxy'] = '*' # 避免代理网络产生意外污染 -import gradio as gr -from predict import predict -from toolbox import format_io, find_free_port, on_file_uploaded, on_report_generated, get_conf - -# 建议您复制一个config_private.py放自己的秘密, 如API和代理网址, 避免不小心传github被别人看到 -proxies, WEB_PORT, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION, CHATBOT_HEIGHT = \ - get_conf('proxies', 'WEB_PORT', 'LLM_MODEL', 'CONCURRENT_COUNT', 'AUTHENTICATION', 'CHATBOT_HEIGHT') - -# 如果WEB_PORT是-1, 则随机选取WEB端口 -PORT = find_free_port() if WEB_PORT <= 0 else WEB_PORT -if not AUTHENTICATION: AUTHENTICATION = None - -initial_prompt = "Serve me as a writing and programming assistant." -title_html = "

ChatGPT 学术优化

" -description = """代码开源和更新[地址🚀](https://github.com/binary-husky/chatgpt_academic),感谢热情的[开发者们❤️](https://github.com/binary-husky/chatgpt_academic/graphs/contributors)""" - -# 问询记录, python 版本建议3.9+(越新越好) -import logging -os.makedirs("gpt_log", exist_ok=True) -try:logging.basicConfig(filename="gpt_log/chat_secrets.log", level=logging.INFO, encoding="utf-8") -except:logging.basicConfig(filename="gpt_log/chat_secrets.log", level=logging.INFO) -print("所有问询记录将自动保存在本地目录./gpt_log/chat_secrets.log, 请注意自我隐私保护哦!") - -# 一些普通功能模块 -from functional import get_functionals -functional = get_functionals() - -# 高级函数插件 -from functional_crazy import get_crazy_functionals -crazy_fns = get_crazy_functionals() - -# 处理markdown文本格式的转变 -gr.Chatbot.postprocess = format_io - -# 做一些外观色彩上的调整 -from theme import adjust_theme, advanced_css -set_theme = adjust_theme() - -cancel_handles = [] -with gr.Blocks(theme=set_theme, analytics_enabled=False, css=advanced_css) as demo: - gr.HTML(title_html) - with gr.Row().style(equal_height=True): - with gr.Column(scale=2): - chatbot = gr.Chatbot() - chatbot.style(height=CHATBOT_HEIGHT) - history = gr.State([]) - with gr.Column(scale=1): - with gr.Row(): - txt = gr.Textbox(show_label=False, placeholder="Input question here.").style(container=False) - with gr.Row(): - submitBtn = gr.Button("提交", variant="primary") - with gr.Row(): - resetBtn = gr.Button("重置", variant="secondary"); resetBtn.style(size="sm") - stopBtn = gr.Button("停止", variant="secondary"); stopBtn.style(size="sm") - with gr.Row(): - from check_proxy import check_proxy - status = gr.Markdown(f"Tip: 按Enter提交, 按Shift+Enter换行。当前模型: {LLM_MODEL} \n {check_proxy(proxies)}") - with gr.Accordion("基础功能区", open=True) as area_basic_fn: - with gr.Row(): - for k in functional: - variant = functional[k]["Color"] if "Color" in functional[k] else "secondary" - functional[k]["Button"] = gr.Button(k, variant=variant) - with gr.Accordion("函数插件区", open=True) as area_crazy_fn: - with gr.Row(): - gr.Markdown("注意:以下“红颜色”标识的函数插件需从input区读取路径作为参数.") - with gr.Row(): - for k in crazy_fns: - if not crazy_fns[k].get("AsButton", True): continue - variant = crazy_fns[k]["Color"] if "Color" in crazy_fns[k] else "secondary" - crazy_fns[k]["Button"] = gr.Button(k, variant=variant) - with gr.Row(): - with gr.Accordion("更多函数插件", open=True): - dropdown_fn_list = [k for k in crazy_fns.keys() if not crazy_fns[k].get("AsButton", True)] - with gr.Column(scale=1): - dropdown = gr.Dropdown(dropdown_fn_list, value=r"打开插件列表", label="").style(container=False) - with gr.Column(scale=1): - switchy_bt = gr.Button(r"请先从插件列表中选择", variant="secondary") - with gr.Row(): - with gr.Accordion("点击展开“文件上传区”。上传本地文件可供红色函数插件调用。", open=False) as area_file_up: - file_upload = gr.Files(label="任何文件, 但推荐上传压缩文件(zip, tar)", file_count="multiple") - with gr.Accordion("展开SysPrompt & 交互界面布局 & Github地址", open=False): - system_prompt = gr.Textbox(show_label=True, placeholder=f"System Prompt", label="System prompt", value=initial_prompt) - top_p = gr.Slider(minimum=-0, maximum=1.0, value=1.0, step=0.01,interactive=True, label="Top-p (nucleus sampling)",) - temperature = gr.Slider(minimum=-0, maximum=2.0, value=1.0, step=0.01, interactive=True, label="Temperature",) - checkboxes = gr.CheckboxGroup(["基础功能区", "函数插件区"], value=["基础功能区", "函数插件区"], label="显示/隐藏功能区") - gr.Markdown(description) - # 功能区显示开关与功能区的互动 - def fn_area_visibility(a): - ret = {} - ret.update({area_basic_fn: gr.update(visible=("基础功能区" in a))}) - ret.update({area_crazy_fn: gr.update(visible=("函数插件区" in a))}) - return ret - checkboxes.select(fn_area_visibility, [checkboxes], [area_basic_fn, area_crazy_fn] ) - # 整理反复出现的控件句柄组合 - input_combo = [txt, top_p, temperature, chatbot, history, system_prompt] - output_combo = [chatbot, history, status] - predict_args = dict(fn=predict, inputs=input_combo, outputs=output_combo) - empty_txt_args = dict(fn=lambda: "", inputs=[], outputs=[txt]) # 用于在提交后清空输入栏 - # 提交按钮、重置按钮 - cancel_handles.append(txt.submit(**predict_args)) #; txt.submit(**empty_txt_args) 在提交后清空输入栏 - cancel_handles.append(submitBtn.click(**predict_args)) #; submitBtn.click(**empty_txt_args) 在提交后清空输入栏 - resetBtn.click(lambda: ([], [], "已重置"), None, output_combo) - # 基础功能区的回调函数注册 - for k in functional: - click_handle = functional[k]["Button"].click(predict, [*input_combo, gr.State(True), gr.State(k)], output_combo) - cancel_handles.append(click_handle) - # 文件上传区,接收文件后与chatbot的互动 - file_upload.upload(on_file_uploaded, [file_upload, chatbot, txt], [chatbot, txt]) - # 函数插件-固定按钮区 - for k in crazy_fns: - if not crazy_fns[k].get("AsButton", True): continue - click_handle = crazy_fns[k]["Button"].click(crazy_fns[k]["Function"], [*input_combo, gr.State(PORT)], output_combo) - click_handle.then(on_report_generated, [file_upload, chatbot], [file_upload, chatbot]) - cancel_handles.append(click_handle) - # 函数插件-下拉菜单与随变按钮的互动 - def on_dropdown_changed(k): - variant = crazy_fns[k]["Color"] if "Color" in crazy_fns[k] else "secondary" - return {switchy_bt: gr.update(value=k, variant=variant)} - dropdown.select(on_dropdown_changed, [dropdown], [switchy_bt] ) - # 随变按钮的回调函数注册 - def route(k, *args, **kwargs): - if k in [r"打开插件列表", r"请先从插件列表中选择"]: return - yield from crazy_fns[k]["Function"](*args, **kwargs) - click_handle = switchy_bt.click(route,[switchy_bt, *input_combo, gr.State(PORT)], output_combo) - click_handle.then(on_report_generated, [file_upload, chatbot], [file_upload, chatbot]) - # def expand_file_area(file_upload, area_file_up): - # if len(file_upload)>0: return {area_file_up: gr.update(open=True)} - # click_handle.then(expand_file_area, [file_upload, area_file_up], [area_file_up]) - cancel_handles.append(click_handle) - # 终止按钮的回调函数注册 - stopBtn.click(fn=None, inputs=None, outputs=None, cancels=cancel_handles) - -# gradio的inbrowser触发不太稳定,回滚代码到原始的浏览器打开函数 -def auto_opentab_delay(): - import threading, webbrowser, time - print(f"如果浏览器没有自动打开,请复制并转到以下URL: http://localhost:{PORT}") - def open(): - time.sleep(2) - webbrowser.open_new_tab(f"http://localhost:{PORT}") - threading.Thread(target=open, name="open-browser", daemon=True).start() - -auto_opentab_delay() -demo.title = "ChatGPT 学术优化" -demo.queue(concurrency_count=CONCURRENT_COUNT).launch(server_name="0.0.0.0", server_port=PORT, auth=AUTHENTICATION) diff --git a/spaces/Androidonnxfork/CivitAi-to-Diffusers/diffusers/docs/source/ko/using-diffusers/schedulers.md b/spaces/Androidonnxfork/CivitAi-to-Diffusers/diffusers/docs/source/ko/using-diffusers/schedulers.md deleted file mode 100644 index 6a8864fbe8f35a5d265cd8992c5726911cdb0d2d..0000000000000000000000000000000000000000 --- a/spaces/Androidonnxfork/CivitAi-to-Diffusers/diffusers/docs/source/ko/using-diffusers/schedulers.md +++ /dev/null @@ -1,329 +0,0 @@ - - -# 스케줄러 - -diffusion 파이프라인은 diffusion 모델, 스케줄러 등의 컴포넌트들로 구성됩니다. 그리고 파이프라인 안의 일부 컴포넌트를 다른 컴포넌트로 교체하는 식의 커스터마이징 역시 가능합니다. 이와 같은 컴포넌트 커스터마이징의 가장 대표적인 예시가 바로 [스케줄러](../api/schedulers/overview.md)를 교체하는 것입니다. - - - -스케쥴러는 다음과 같이 diffusion 시스템의 전반적인 디노이징 프로세스를 정의합니다. - -- 디노이징 스텝을 얼마나 가져가야 할까? -- 확률적으로(stochastic) 혹은 확정적으로(deterministic)? -- 디노이징 된 샘플을 찾아내기 위해 어떤 알고리즘을 사용해야 할까? - -이러한 프로세스는 다소 난해하고, 디노이징 속도와 디노이징 퀄리티 사이의 트레이드 오프를 정의해야 하는 문제가 될 수 있습니다. 주어진 파이프라인에 어떤 스케줄러가 가장 적합한지를 정량적으로 판단하는 것은 매우 어려운 일입니다. 이로 인해 일단 해당 스케줄러를 직접 사용하여, 생성되는 이미지를 직접 눈으로 보며, 정성적으로 성능을 판단해보는 것이 추천되곤 합니다. - - - - - -## 파이프라인 불러오기 - -먼저 스테이블 diffusion 파이프라인을 불러오도록 해보겠습니다. 물론 스테이블 diffusion을 사용하기 위해서는, 허깅페이스 허브에 등록된 사용자여야 하며, 관련 [라이센스](https://huggingface.co/runwayml/stable-diffusion-v1-5)에 동의해야 한다는 점을 잊지 말아주세요. - -*역자 주: 다만, 현재 신규로 생성한 허깅페이스 계정에 대해서는 라이센스 동의를 요구하지 않는 것으로 보입니다!* - -```python -from huggingface_hub import login -from diffusers import DiffusionPipeline -import torch - -# first we need to login with our access token -login() - -# Now we can download the pipeline -pipeline = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16) -``` - -다음으로, GPU로 이동합니다. - -```python -pipeline.to("cuda") -``` - - - - - -## 스케줄러 액세스 - -스케줄러는 언제나 파이프라인의 컴포넌트로서 존재하며, 일반적으로 파이프라인 인스턴스 내에 `scheduler`라는 이름의 속성(property)으로 정의되어 있습니다. - -```python -pipeline.scheduler -``` - -**Output**: - -``` -PNDMScheduler { - "_class_name": "PNDMScheduler", - "_diffusers_version": "0.8.0.dev0", - "beta_end": 0.012, - "beta_schedule": "scaled_linear", - "beta_start": 0.00085, - "clip_sample": false, - "num_train_timesteps": 1000, - "set_alpha_to_one": false, - "skip_prk_steps": true, - "steps_offset": 1, - "trained_betas": null -} -``` - -출력 결과를 통해, 우리는 해당 스케줄러가 [`PNDMScheduler`]의 인스턴스라는 것을 알 수 있습니다. 이제 [`PNDMScheduler`]와 다른 스케줄러들의 성능을 비교해보도록 하겠습니다. 먼저 테스트에 사용할 프롬프트를 다음과 같이 정의해보도록 하겠습니다. - -```python -prompt = "A photograph of an astronaut riding a horse on Mars, high resolution, high definition." -``` - -다음으로 유사한 이미지 생성을 보장하기 위해서, 다음과 같이 랜덤시드를 고정해주도록 하겠습니다. - -```python -generator = torch.Generator(device="cuda").manual_seed(8) -image = pipeline(prompt, generator=generator).images[0] -image -``` - -

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- - - - -## 스케줄러 교체하기 - -다음으로 파이프라인의 스케줄러를 다른 스케줄러로 교체하는 방법에 대해 알아보겠습니다. 모든 스케줄러는 [`SchedulerMixin.compatibles`]라는 속성(property)을 갖고 있습니다. 해당 속성은 **호환 가능한** 스케줄러들에 대한 정보를 담고 있습니다. - -```python -pipeline.scheduler.compatibles -``` - -**Output**: - -``` -[diffusers.schedulers.scheduling_lms_discrete.LMSDiscreteScheduler, - diffusers.schedulers.scheduling_ddim.DDIMScheduler, - diffusers.schedulers.scheduling_dpmsolver_multistep.DPMSolverMultistepScheduler, - diffusers.schedulers.scheduling_euler_discrete.EulerDiscreteScheduler, - diffusers.schedulers.scheduling_pndm.PNDMScheduler, - diffusers.schedulers.scheduling_ddpm.DDPMScheduler, - diffusers.schedulers.scheduling_euler_ancestral_discrete.EulerAncestralDiscreteScheduler] -``` - -호환되는 스케줄러들을 살펴보면 아래와 같습니다. - -- [`LMSDiscreteScheduler`], -- [`DDIMScheduler`], -- [`DPMSolverMultistepScheduler`], -- [`EulerDiscreteScheduler`], -- [`PNDMScheduler`], -- [`DDPMScheduler`], -- [`EulerAncestralDiscreteScheduler`]. - -앞서 정의했던 프롬프트를 사용해서 각각의 스케줄러들을 비교해보도록 하겠습니다. - -먼저 파이프라인 안의 스케줄러를 바꾸기 위해 [`ConfigMixin.config`] 속성과 [`ConfigMixin.from_config`] 메서드를 활용해보려고 합니다. - - - -```python -pipeline.scheduler.config -``` - -**Output**: - -``` -FrozenDict([('num_train_timesteps', 1000), - ('beta_start', 0.00085), - ('beta_end', 0.012), - ('beta_schedule', 'scaled_linear'), - ('trained_betas', None), - ('skip_prk_steps', True), - ('set_alpha_to_one', False), - ('steps_offset', 1), - ('_class_name', 'PNDMScheduler'), - ('_diffusers_version', '0.8.0.dev0'), - ('clip_sample', False)]) -``` - -기존 스케줄러의 config를 호환 가능한 다른 스케줄러에 이식하는 것 역시 가능합니다. - -다음 예시는 기존 스케줄러(`pipeline.scheduler`)를 다른 종류의 스케줄러(`DDIMScheduler`)로 바꾸는 코드입니다. 기존 스케줄러가 갖고 있던 config를 `.from_config` 메서드의 인자로 전달하는 것을 확인할 수 있습니다. - -```python -from diffusers import DDIMScheduler - -pipeline.scheduler = DDIMScheduler.from_config(pipeline.scheduler.config) -``` - - - -이제 파이프라인을 실행해서 두 스케줄러 사이의 생성된 이미지의 퀄리티를 비교해봅시다. - -```python -generator = torch.Generator(device="cuda").manual_seed(8) -image = pipeline(prompt, generator=generator).images[0] -image -``` - -

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- - - - -## 스케줄러들 비교해보기 - -지금까지는 [`PNDMScheduler`]와 [`DDIMScheduler`] 스케줄러를 실행해보았습니다. 아직 비교해볼 스케줄러들이 더 많이 남아있으니 계속 비교해보도록 하겠습니다. - - - -[`LMSDiscreteScheduler`]을 일반적으로 더 좋은 결과를 보여줍니다. - -```python -from diffusers import LMSDiscreteScheduler - -pipeline.scheduler = LMSDiscreteScheduler.from_config(pipeline.scheduler.config) - -generator = torch.Generator(device="cuda").manual_seed(8) -image = pipeline(prompt, generator=generator).images[0] -image -``` - -

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- - -[`EulerDiscreteScheduler`]와 [`EulerAncestralDiscreteScheduler`] 고작 30번의 inference step만으로도 높은 퀄리티의 이미지를 생성하는 것을 알 수 있습니다. - -```python -from diffusers import EulerDiscreteScheduler - -pipeline.scheduler = EulerDiscreteScheduler.from_config(pipeline.scheduler.config) - -generator = torch.Generator(device="cuda").manual_seed(8) -image = pipeline(prompt, generator=generator, num_inference_steps=30).images[0] -image -``` - -

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- - -```python -from diffusers import EulerAncestralDiscreteScheduler - -pipeline.scheduler = EulerAncestralDiscreteScheduler.from_config(pipeline.scheduler.config) - -generator = torch.Generator(device="cuda").manual_seed(8) -image = pipeline(prompt, generator=generator, num_inference_steps=30).images[0] -image -``` - -

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- - -지금 이 문서를 작성하는 현시점 기준에선, [`DPMSolverMultistepScheduler`]가 시간 대비 가장 좋은 품질의 이미지를 생성하는 것 같습니다. 20번 정도의 스텝만으로도 실행될 수 있습니다. - - - -```python -from diffusers import DPMSolverMultistepScheduler - -pipeline.scheduler = DPMSolverMultistepScheduler.from_config(pipeline.scheduler.config) - -generator = torch.Generator(device="cuda").manual_seed(8) -image = pipeline(prompt, generator=generator, num_inference_steps=20).images[0] -image -``` - -

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- - -보시다시피 생성된 이미지들은 매우 비슷하고, 비슷한 퀄리티를 보이는 것 같습니다. 실제로 어떤 스케줄러를 선택할 것인가는 종종 특정 이용 사례에 기반해서 결정되곤 합니다. 결국 여러 종류의 스케줄러를 직접 실행시켜보고 눈으로 직접 비교해서 판단하는 게 좋은 선택일 것 같습니다. - - - -## Flax에서 스케줄러 교체하기 - -JAX/Flax 사용자인 경우 기본 파이프라인 스케줄러를 변경할 수도 있습니다. 다음은 Flax Stable Diffusion 파이프라인과 초고속 [DDPM-Solver++ 스케줄러를](../api/schedulers/multistep_dpm_solver) 사용하여 추론을 실행하는 방법에 대한 예시입니다 . - -```Python -import jax -import numpy as np -from flax.jax_utils import replicate -from flax.training.common_utils import shard - -from diffusers import FlaxStableDiffusionPipeline, FlaxDPMSolverMultistepScheduler - -model_id = "runwayml/stable-diffusion-v1-5" -scheduler, scheduler_state = FlaxDPMSolverMultistepScheduler.from_pretrained( - model_id, - subfolder="scheduler" -) -pipeline, params = FlaxStableDiffusionPipeline.from_pretrained( - model_id, - scheduler=scheduler, - revision="bf16", - dtype=jax.numpy.bfloat16, -) -params["scheduler"] = scheduler_state - -# Generate 1 image per parallel device (8 on TPUv2-8 or TPUv3-8) -prompt = "a photo of an astronaut riding a horse on mars" -num_samples = jax.device_count() -prompt_ids = pipeline.prepare_inputs([prompt] * num_samples) - -prng_seed = jax.random.PRNGKey(0) -num_inference_steps = 25 - -# shard inputs and rng -params = replicate(params) -prng_seed = jax.random.split(prng_seed, jax.device_count()) -prompt_ids = shard(prompt_ids) - -images = pipeline(prompt_ids, params, prng_seed, num_inference_steps, jit=True).images -images = pipeline.numpy_to_pil(np.asarray(images.reshape((num_samples,) + images.shape[-3:]))) -``` - - - -다음 Flax 스케줄러는 *아직* Flax Stable Diffusion 파이프라인과 호환되지 않습니다. - -- `FlaxLMSDiscreteScheduler` -- `FlaxDDPMScheduler` - - - diff --git a/spaces/Androidonnxfork/CivitAi-to-Diffusers/diffusers/scripts/convert_kakao_brain_unclip_to_diffusers.py b/spaces/Androidonnxfork/CivitAi-to-Diffusers/diffusers/scripts/convert_kakao_brain_unclip_to_diffusers.py deleted file mode 100644 index 85d983dea686f26d0196be94c3ef35496161eb24..0000000000000000000000000000000000000000 --- a/spaces/Androidonnxfork/CivitAi-to-Diffusers/diffusers/scripts/convert_kakao_brain_unclip_to_diffusers.py +++ /dev/null @@ -1,1159 +0,0 @@ -import argparse -import tempfile - -import torch -from accelerate import load_checkpoint_and_dispatch -from transformers import CLIPTextModelWithProjection, CLIPTokenizer - -from diffusers import UnCLIPPipeline, UNet2DConditionModel, UNet2DModel -from diffusers.models.prior_transformer import PriorTransformer -from diffusers.pipelines.unclip.text_proj import UnCLIPTextProjModel -from diffusers.schedulers.scheduling_unclip import UnCLIPScheduler - - -""" -Example - From the diffusers root directory: - -Download weights: -```sh -$ wget https://arena.kakaocdn.net/brainrepo/models/karlo-public/v1.0.0.alpha/efdf6206d8ed593961593dc029a8affa/decoder-ckpt-step%3D01000000-of-01000000.ckpt -$ wget https://arena.kakaocdn.net/brainrepo/models/karlo-public/v1.0.0.alpha/4226b831ae0279020d134281f3c31590/improved-sr-ckpt-step%3D1.2M.ckpt -$ wget https://arena.kakaocdn.net/brainrepo/models/karlo-public/v1.0.0.alpha/85626483eaca9f581e2a78d31ff905ca/prior-ckpt-step%3D01000000-of-01000000.ckpt -$ wget https://arena.kakaocdn.net/brainrepo/models/karlo-public/v1.0.0.alpha/0b62380a75e56f073e2844ab5199153d/ViT-L-14_stats.th -``` - -Convert the model: -```sh -$ python scripts/convert_kakao_brain_unclip_to_diffusers.py \ - --decoder_checkpoint_path ./decoder-ckpt-step\=01000000-of-01000000.ckpt \ - --super_res_unet_checkpoint_path ./improved-sr-ckpt-step\=1.2M.ckpt \ - --prior_checkpoint_path ./prior-ckpt-step\=01000000-of-01000000.ckpt \ - --clip_stat_path ./ViT-L-14_stats.th \ - --dump_path -``` -""" - - -# prior - -PRIOR_ORIGINAL_PREFIX = "model" - -# Uses default arguments -PRIOR_CONFIG = {} - - -def prior_model_from_original_config(): - model = PriorTransformer(**PRIOR_CONFIG) - - return model - - -def prior_original_checkpoint_to_diffusers_checkpoint(model, checkpoint, clip_stats_checkpoint): - diffusers_checkpoint = {} - - # .time_embed.0 -> .time_embedding.linear_1 - diffusers_checkpoint.update( - { - "time_embedding.linear_1.weight": checkpoint[f"{PRIOR_ORIGINAL_PREFIX}.time_embed.0.weight"], - "time_embedding.linear_1.bias": checkpoint[f"{PRIOR_ORIGINAL_PREFIX}.time_embed.0.bias"], - } - ) - - # .clip_img_proj -> .proj_in - diffusers_checkpoint.update( - { - "proj_in.weight": checkpoint[f"{PRIOR_ORIGINAL_PREFIX}.clip_img_proj.weight"], - "proj_in.bias": checkpoint[f"{PRIOR_ORIGINAL_PREFIX}.clip_img_proj.bias"], - } - ) - - # .text_emb_proj -> .embedding_proj - diffusers_checkpoint.update( - { - "embedding_proj.weight": checkpoint[f"{PRIOR_ORIGINAL_PREFIX}.text_emb_proj.weight"], - "embedding_proj.bias": checkpoint[f"{PRIOR_ORIGINAL_PREFIX}.text_emb_proj.bias"], - } - ) - - # .text_enc_proj -> .encoder_hidden_states_proj - diffusers_checkpoint.update( - { - "encoder_hidden_states_proj.weight": checkpoint[f"{PRIOR_ORIGINAL_PREFIX}.text_enc_proj.weight"], - "encoder_hidden_states_proj.bias": checkpoint[f"{PRIOR_ORIGINAL_PREFIX}.text_enc_proj.bias"], - } - ) - - # .positional_embedding -> .positional_embedding - diffusers_checkpoint.update({"positional_embedding": checkpoint[f"{PRIOR_ORIGINAL_PREFIX}.positional_embedding"]}) - - # .prd_emb -> .prd_embedding - diffusers_checkpoint.update({"prd_embedding": checkpoint[f"{PRIOR_ORIGINAL_PREFIX}.prd_emb"]}) - - # .time_embed.2 -> .time_embedding.linear_2 - diffusers_checkpoint.update( - { - "time_embedding.linear_2.weight": checkpoint[f"{PRIOR_ORIGINAL_PREFIX}.time_embed.2.weight"], - "time_embedding.linear_2.bias": checkpoint[f"{PRIOR_ORIGINAL_PREFIX}.time_embed.2.bias"], - } - ) - - # .resblocks. -> .transformer_blocks. - for idx in range(len(model.transformer_blocks)): - diffusers_transformer_prefix = f"transformer_blocks.{idx}" - original_transformer_prefix = f"{PRIOR_ORIGINAL_PREFIX}.transformer.resblocks.{idx}" - - # .attn -> .attn1 - diffusers_attention_prefix = f"{diffusers_transformer_prefix}.attn1" - original_attention_prefix = f"{original_transformer_prefix}.attn" - diffusers_checkpoint.update( - prior_attention_to_diffusers( - checkpoint, - diffusers_attention_prefix=diffusers_attention_prefix, - original_attention_prefix=original_attention_prefix, - attention_head_dim=model.attention_head_dim, - ) - ) - - # .mlp -> .ff - diffusers_ff_prefix = f"{diffusers_transformer_prefix}.ff" - original_ff_prefix = f"{original_transformer_prefix}.mlp" - diffusers_checkpoint.update( - prior_ff_to_diffusers( - checkpoint, diffusers_ff_prefix=diffusers_ff_prefix, original_ff_prefix=original_ff_prefix - ) - ) - - # .ln_1 -> .norm1 - diffusers_checkpoint.update( - { - f"{diffusers_transformer_prefix}.norm1.weight": checkpoint[ - f"{original_transformer_prefix}.ln_1.weight" - ], - f"{diffusers_transformer_prefix}.norm1.bias": checkpoint[f"{original_transformer_prefix}.ln_1.bias"], - } - ) - - # .ln_2 -> .norm3 - diffusers_checkpoint.update( - { - f"{diffusers_transformer_prefix}.norm3.weight": checkpoint[ - f"{original_transformer_prefix}.ln_2.weight" - ], - f"{diffusers_transformer_prefix}.norm3.bias": checkpoint[f"{original_transformer_prefix}.ln_2.bias"], - } - ) - - # .final_ln -> .norm_out - diffusers_checkpoint.update( - { - "norm_out.weight": checkpoint[f"{PRIOR_ORIGINAL_PREFIX}.final_ln.weight"], - "norm_out.bias": checkpoint[f"{PRIOR_ORIGINAL_PREFIX}.final_ln.bias"], - } - ) - - # .out_proj -> .proj_to_clip_embeddings - diffusers_checkpoint.update( - { - "proj_to_clip_embeddings.weight": checkpoint[f"{PRIOR_ORIGINAL_PREFIX}.out_proj.weight"], - "proj_to_clip_embeddings.bias": checkpoint[f"{PRIOR_ORIGINAL_PREFIX}.out_proj.bias"], - } - ) - - # clip stats - clip_mean, clip_std = clip_stats_checkpoint - clip_mean = clip_mean[None, :] - clip_std = clip_std[None, :] - - diffusers_checkpoint.update({"clip_mean": clip_mean, "clip_std": clip_std}) - - return diffusers_checkpoint - - -def prior_attention_to_diffusers( - checkpoint, *, diffusers_attention_prefix, original_attention_prefix, attention_head_dim -): - diffusers_checkpoint = {} - - # .c_qkv -> .{to_q, to_k, to_v} - [q_weight, k_weight, v_weight], [q_bias, k_bias, v_bias] = split_attentions( - weight=checkpoint[f"{original_attention_prefix}.c_qkv.weight"], - bias=checkpoint[f"{original_attention_prefix}.c_qkv.bias"], - split=3, - chunk_size=attention_head_dim, - ) - - diffusers_checkpoint.update( - { - f"{diffusers_attention_prefix}.to_q.weight": q_weight, - f"{diffusers_attention_prefix}.to_q.bias": q_bias, - f"{diffusers_attention_prefix}.to_k.weight": k_weight, - f"{diffusers_attention_prefix}.to_k.bias": k_bias, - f"{diffusers_attention_prefix}.to_v.weight": v_weight, - f"{diffusers_attention_prefix}.to_v.bias": v_bias, - } - ) - - # .c_proj -> .to_out.0 - diffusers_checkpoint.update( - { - f"{diffusers_attention_prefix}.to_out.0.weight": checkpoint[f"{original_attention_prefix}.c_proj.weight"], - f"{diffusers_attention_prefix}.to_out.0.bias": checkpoint[f"{original_attention_prefix}.c_proj.bias"], - } - ) - - return diffusers_checkpoint - - -def prior_ff_to_diffusers(checkpoint, *, diffusers_ff_prefix, original_ff_prefix): - diffusers_checkpoint = { - # .c_fc -> .net.0.proj - f"{diffusers_ff_prefix}.net.{0}.proj.weight": checkpoint[f"{original_ff_prefix}.c_fc.weight"], - f"{diffusers_ff_prefix}.net.{0}.proj.bias": checkpoint[f"{original_ff_prefix}.c_fc.bias"], - # .c_proj -> .net.2 - f"{diffusers_ff_prefix}.net.{2}.weight": checkpoint[f"{original_ff_prefix}.c_proj.weight"], - f"{diffusers_ff_prefix}.net.{2}.bias": checkpoint[f"{original_ff_prefix}.c_proj.bias"], - } - - return diffusers_checkpoint - - -# done prior - - -# decoder - -DECODER_ORIGINAL_PREFIX = "model" - -# We are hardcoding the model configuration for now. If we need to generalize to more model configurations, we can -# update then. -DECODER_CONFIG = { - "sample_size": 64, - "layers_per_block": 3, - "down_block_types": ( - "ResnetDownsampleBlock2D", - "SimpleCrossAttnDownBlock2D", - "SimpleCrossAttnDownBlock2D", - "SimpleCrossAttnDownBlock2D", - ), - "up_block_types": ( - "SimpleCrossAttnUpBlock2D", - "SimpleCrossAttnUpBlock2D", - "SimpleCrossAttnUpBlock2D", - "ResnetUpsampleBlock2D", - ), - "mid_block_type": "UNetMidBlock2DSimpleCrossAttn", - "block_out_channels": (320, 640, 960, 1280), - "in_channels": 3, - "out_channels": 6, - "cross_attention_dim": 1536, - "class_embed_type": "identity", - "attention_head_dim": 64, - "resnet_time_scale_shift": "scale_shift", -} - - -def decoder_model_from_original_config(): - model = UNet2DConditionModel(**DECODER_CONFIG) - - return model - - -def decoder_original_checkpoint_to_diffusers_checkpoint(model, checkpoint): - diffusers_checkpoint = {} - - original_unet_prefix = DECODER_ORIGINAL_PREFIX - num_head_channels = DECODER_CONFIG["attention_head_dim"] - - diffusers_checkpoint.update(unet_time_embeddings(checkpoint, original_unet_prefix)) - diffusers_checkpoint.update(unet_conv_in(checkpoint, original_unet_prefix)) - - # .input_blocks -> .down_blocks - - original_down_block_idx = 1 - - for diffusers_down_block_idx in range(len(model.down_blocks)): - checkpoint_update, num_original_down_blocks = unet_downblock_to_diffusers_checkpoint( - model, - checkpoint, - diffusers_down_block_idx=diffusers_down_block_idx, - original_down_block_idx=original_down_block_idx, - original_unet_prefix=original_unet_prefix, - num_head_channels=num_head_channels, - ) - - original_down_block_idx += num_original_down_blocks - - diffusers_checkpoint.update(checkpoint_update) - - # done .input_blocks -> .down_blocks - - diffusers_checkpoint.update( - unet_midblock_to_diffusers_checkpoint( - model, - checkpoint, - original_unet_prefix=original_unet_prefix, - num_head_channels=num_head_channels, - ) - ) - - # .output_blocks -> .up_blocks - - original_up_block_idx = 0 - - for diffusers_up_block_idx in range(len(model.up_blocks)): - checkpoint_update, num_original_up_blocks = unet_upblock_to_diffusers_checkpoint( - model, - checkpoint, - diffusers_up_block_idx=diffusers_up_block_idx, - original_up_block_idx=original_up_block_idx, - original_unet_prefix=original_unet_prefix, - num_head_channels=num_head_channels, - ) - - original_up_block_idx += num_original_up_blocks - - diffusers_checkpoint.update(checkpoint_update) - - # done .output_blocks -> .up_blocks - - diffusers_checkpoint.update(unet_conv_norm_out(checkpoint, original_unet_prefix)) - diffusers_checkpoint.update(unet_conv_out(checkpoint, original_unet_prefix)) - - return diffusers_checkpoint - - -# done decoder - -# text proj - - -def text_proj_from_original_config(): - # From the conditional unet constructor where the dimension of the projected time embeddings is - # constructed - time_embed_dim = DECODER_CONFIG["block_out_channels"][0] * 4 - - cross_attention_dim = DECODER_CONFIG["cross_attention_dim"] - - model = UnCLIPTextProjModel(time_embed_dim=time_embed_dim, cross_attention_dim=cross_attention_dim) - - return model - - -# Note that the input checkpoint is the original decoder checkpoint -def text_proj_original_checkpoint_to_diffusers_checkpoint(checkpoint): - diffusers_checkpoint = { - # .text_seq_proj.0 -> .encoder_hidden_states_proj - "encoder_hidden_states_proj.weight": checkpoint[f"{DECODER_ORIGINAL_PREFIX}.text_seq_proj.0.weight"], - "encoder_hidden_states_proj.bias": checkpoint[f"{DECODER_ORIGINAL_PREFIX}.text_seq_proj.0.bias"], - # .text_seq_proj.1 -> .text_encoder_hidden_states_norm - "text_encoder_hidden_states_norm.weight": checkpoint[f"{DECODER_ORIGINAL_PREFIX}.text_seq_proj.1.weight"], - "text_encoder_hidden_states_norm.bias": checkpoint[f"{DECODER_ORIGINAL_PREFIX}.text_seq_proj.1.bias"], - # .clip_tok_proj -> .clip_extra_context_tokens_proj - "clip_extra_context_tokens_proj.weight": checkpoint[f"{DECODER_ORIGINAL_PREFIX}.clip_tok_proj.weight"], - "clip_extra_context_tokens_proj.bias": checkpoint[f"{DECODER_ORIGINAL_PREFIX}.clip_tok_proj.bias"], - # .text_feat_proj -> .embedding_proj - "embedding_proj.weight": checkpoint[f"{DECODER_ORIGINAL_PREFIX}.text_feat_proj.weight"], - "embedding_proj.bias": checkpoint[f"{DECODER_ORIGINAL_PREFIX}.text_feat_proj.bias"], - # .cf_param -> .learned_classifier_free_guidance_embeddings - "learned_classifier_free_guidance_embeddings": checkpoint[f"{DECODER_ORIGINAL_PREFIX}.cf_param"], - # .clip_emb -> .clip_image_embeddings_project_to_time_embeddings - "clip_image_embeddings_project_to_time_embeddings.weight": checkpoint[ - f"{DECODER_ORIGINAL_PREFIX}.clip_emb.weight" - ], - "clip_image_embeddings_project_to_time_embeddings.bias": checkpoint[ - f"{DECODER_ORIGINAL_PREFIX}.clip_emb.bias" - ], - } - - return diffusers_checkpoint - - -# done text proj - -# super res unet first steps - -SUPER_RES_UNET_FIRST_STEPS_PREFIX = "model_first_steps" - -SUPER_RES_UNET_FIRST_STEPS_CONFIG = { - "sample_size": 256, - "layers_per_block": 3, - "down_block_types": ( - "ResnetDownsampleBlock2D", - "ResnetDownsampleBlock2D", - "ResnetDownsampleBlock2D", - "ResnetDownsampleBlock2D", - ), - "up_block_types": ( - "ResnetUpsampleBlock2D", - "ResnetUpsampleBlock2D", - "ResnetUpsampleBlock2D", - "ResnetUpsampleBlock2D", - ), - "block_out_channels": (320, 640, 960, 1280), - "in_channels": 6, - "out_channels": 3, - "add_attention": False, -} - - -def super_res_unet_first_steps_model_from_original_config(): - model = UNet2DModel(**SUPER_RES_UNET_FIRST_STEPS_CONFIG) - - return model - - -def super_res_unet_first_steps_original_checkpoint_to_diffusers_checkpoint(model, checkpoint): - diffusers_checkpoint = {} - - original_unet_prefix = SUPER_RES_UNET_FIRST_STEPS_PREFIX - - diffusers_checkpoint.update(unet_time_embeddings(checkpoint, original_unet_prefix)) - diffusers_checkpoint.update(unet_conv_in(checkpoint, original_unet_prefix)) - - # .input_blocks -> .down_blocks - - original_down_block_idx = 1 - - for diffusers_down_block_idx in range(len(model.down_blocks)): - checkpoint_update, num_original_down_blocks = unet_downblock_to_diffusers_checkpoint( - model, - checkpoint, - diffusers_down_block_idx=diffusers_down_block_idx, - original_down_block_idx=original_down_block_idx, - original_unet_prefix=original_unet_prefix, - num_head_channels=None, - ) - - original_down_block_idx += num_original_down_blocks - - diffusers_checkpoint.update(checkpoint_update) - - diffusers_checkpoint.update( - unet_midblock_to_diffusers_checkpoint( - model, - checkpoint, - original_unet_prefix=original_unet_prefix, - num_head_channels=None, - ) - ) - - # .output_blocks -> .up_blocks - - original_up_block_idx = 0 - - for diffusers_up_block_idx in range(len(model.up_blocks)): - checkpoint_update, num_original_up_blocks = unet_upblock_to_diffusers_checkpoint( - model, - checkpoint, - diffusers_up_block_idx=diffusers_up_block_idx, - original_up_block_idx=original_up_block_idx, - original_unet_prefix=original_unet_prefix, - num_head_channels=None, - ) - - original_up_block_idx += num_original_up_blocks - - diffusers_checkpoint.update(checkpoint_update) - - # done .output_blocks -> .up_blocks - - diffusers_checkpoint.update(unet_conv_norm_out(checkpoint, original_unet_prefix)) - diffusers_checkpoint.update(unet_conv_out(checkpoint, original_unet_prefix)) - - return diffusers_checkpoint - - -# done super res unet first steps - -# super res unet last step - -SUPER_RES_UNET_LAST_STEP_PREFIX = "model_last_step" - -SUPER_RES_UNET_LAST_STEP_CONFIG = { - "sample_size": 256, - "layers_per_block": 3, - "down_block_types": ( - "ResnetDownsampleBlock2D", - "ResnetDownsampleBlock2D", - "ResnetDownsampleBlock2D", - "ResnetDownsampleBlock2D", - ), - "up_block_types": ( - "ResnetUpsampleBlock2D", - "ResnetUpsampleBlock2D", - "ResnetUpsampleBlock2D", - "ResnetUpsampleBlock2D", - ), - "block_out_channels": (320, 640, 960, 1280), - "in_channels": 6, - "out_channels": 3, - "add_attention": False, -} - - -def super_res_unet_last_step_model_from_original_config(): - model = UNet2DModel(**SUPER_RES_UNET_LAST_STEP_CONFIG) - - return model - - -def super_res_unet_last_step_original_checkpoint_to_diffusers_checkpoint(model, checkpoint): - diffusers_checkpoint = {} - - original_unet_prefix = SUPER_RES_UNET_LAST_STEP_PREFIX - - diffusers_checkpoint.update(unet_time_embeddings(checkpoint, original_unet_prefix)) - diffusers_checkpoint.update(unet_conv_in(checkpoint, original_unet_prefix)) - - # .input_blocks -> .down_blocks - - original_down_block_idx = 1 - - for diffusers_down_block_idx in range(len(model.down_blocks)): - checkpoint_update, num_original_down_blocks = unet_downblock_to_diffusers_checkpoint( - model, - checkpoint, - diffusers_down_block_idx=diffusers_down_block_idx, - original_down_block_idx=original_down_block_idx, - original_unet_prefix=original_unet_prefix, - num_head_channels=None, - ) - - original_down_block_idx += num_original_down_blocks - - diffusers_checkpoint.update(checkpoint_update) - - diffusers_checkpoint.update( - unet_midblock_to_diffusers_checkpoint( - model, - checkpoint, - original_unet_prefix=original_unet_prefix, - num_head_channels=None, - ) - ) - - # .output_blocks -> .up_blocks - - original_up_block_idx = 0 - - for diffusers_up_block_idx in range(len(model.up_blocks)): - checkpoint_update, num_original_up_blocks = unet_upblock_to_diffusers_checkpoint( - model, - checkpoint, - diffusers_up_block_idx=diffusers_up_block_idx, - original_up_block_idx=original_up_block_idx, - original_unet_prefix=original_unet_prefix, - num_head_channels=None, - ) - - original_up_block_idx += num_original_up_blocks - - diffusers_checkpoint.update(checkpoint_update) - - # done .output_blocks -> .up_blocks - - diffusers_checkpoint.update(unet_conv_norm_out(checkpoint, original_unet_prefix)) - diffusers_checkpoint.update(unet_conv_out(checkpoint, original_unet_prefix)) - - return diffusers_checkpoint - - -# done super res unet last step - - -# unet utils - - -# .time_embed -> .time_embedding -def unet_time_embeddings(checkpoint, original_unet_prefix): - diffusers_checkpoint = {} - - diffusers_checkpoint.update( - { - "time_embedding.linear_1.weight": checkpoint[f"{original_unet_prefix}.time_embed.0.weight"], - "time_embedding.linear_1.bias": checkpoint[f"{original_unet_prefix}.time_embed.0.bias"], - "time_embedding.linear_2.weight": checkpoint[f"{original_unet_prefix}.time_embed.2.weight"], - "time_embedding.linear_2.bias": checkpoint[f"{original_unet_prefix}.time_embed.2.bias"], - } - ) - - return diffusers_checkpoint - - -# .input_blocks.0 -> .conv_in -def unet_conv_in(checkpoint, original_unet_prefix): - diffusers_checkpoint = {} - - diffusers_checkpoint.update( - { - "conv_in.weight": checkpoint[f"{original_unet_prefix}.input_blocks.0.0.weight"], - "conv_in.bias": checkpoint[f"{original_unet_prefix}.input_blocks.0.0.bias"], - } - ) - - return diffusers_checkpoint - - -# .out.0 -> .conv_norm_out -def unet_conv_norm_out(checkpoint, original_unet_prefix): - diffusers_checkpoint = {} - - diffusers_checkpoint.update( - { - "conv_norm_out.weight": checkpoint[f"{original_unet_prefix}.out.0.weight"], - "conv_norm_out.bias": checkpoint[f"{original_unet_prefix}.out.0.bias"], - } - ) - - return diffusers_checkpoint - - -# .out.2 -> .conv_out -def unet_conv_out(checkpoint, original_unet_prefix): - diffusers_checkpoint = {} - - diffusers_checkpoint.update( - { - "conv_out.weight": checkpoint[f"{original_unet_prefix}.out.2.weight"], - "conv_out.bias": checkpoint[f"{original_unet_prefix}.out.2.bias"], - } - ) - - return diffusers_checkpoint - - -# .input_blocks -> .down_blocks -def unet_downblock_to_diffusers_checkpoint( - model, checkpoint, *, diffusers_down_block_idx, original_down_block_idx, original_unet_prefix, num_head_channels -): - diffusers_checkpoint = {} - - diffusers_resnet_prefix = f"down_blocks.{diffusers_down_block_idx}.resnets" - original_down_block_prefix = f"{original_unet_prefix}.input_blocks" - - down_block = model.down_blocks[diffusers_down_block_idx] - - num_resnets = len(down_block.resnets) - - if down_block.downsamplers is None: - downsampler = False - else: - assert len(down_block.downsamplers) == 1 - downsampler = True - # The downsample block is also a resnet - num_resnets += 1 - - for resnet_idx_inc in range(num_resnets): - full_resnet_prefix = f"{original_down_block_prefix}.{original_down_block_idx + resnet_idx_inc}.0" - - if downsampler and resnet_idx_inc == num_resnets - 1: - # this is a downsample block - full_diffusers_resnet_prefix = f"down_blocks.{diffusers_down_block_idx}.downsamplers.0" - else: - # this is a regular resnet block - full_diffusers_resnet_prefix = f"{diffusers_resnet_prefix}.{resnet_idx_inc}" - - diffusers_checkpoint.update( - resnet_to_diffusers_checkpoint( - checkpoint, resnet_prefix=full_resnet_prefix, diffusers_resnet_prefix=full_diffusers_resnet_prefix - ) - ) - - if hasattr(down_block, "attentions"): - num_attentions = len(down_block.attentions) - diffusers_attention_prefix = f"down_blocks.{diffusers_down_block_idx}.attentions" - - for attention_idx_inc in range(num_attentions): - full_attention_prefix = f"{original_down_block_prefix}.{original_down_block_idx + attention_idx_inc}.1" - full_diffusers_attention_prefix = f"{diffusers_attention_prefix}.{attention_idx_inc}" - - diffusers_checkpoint.update( - attention_to_diffusers_checkpoint( - checkpoint, - attention_prefix=full_attention_prefix, - diffusers_attention_prefix=full_diffusers_attention_prefix, - num_head_channels=num_head_channels, - ) - ) - - num_original_down_blocks = num_resnets - - return diffusers_checkpoint, num_original_down_blocks - - -# .middle_block -> .mid_block -def unet_midblock_to_diffusers_checkpoint(model, checkpoint, *, original_unet_prefix, num_head_channels): - diffusers_checkpoint = {} - - # block 0 - - original_block_idx = 0 - - diffusers_checkpoint.update( - resnet_to_diffusers_checkpoint( - checkpoint, - diffusers_resnet_prefix="mid_block.resnets.0", - resnet_prefix=f"{original_unet_prefix}.middle_block.{original_block_idx}", - ) - ) - - original_block_idx += 1 - - # optional block 1 - - if hasattr(model.mid_block, "attentions") and model.mid_block.attentions[0] is not None: - diffusers_checkpoint.update( - attention_to_diffusers_checkpoint( - checkpoint, - diffusers_attention_prefix="mid_block.attentions.0", - attention_prefix=f"{original_unet_prefix}.middle_block.{original_block_idx}", - num_head_channels=num_head_channels, - ) - ) - original_block_idx += 1 - - # block 1 or block 2 - - diffusers_checkpoint.update( - resnet_to_diffusers_checkpoint( - checkpoint, - diffusers_resnet_prefix="mid_block.resnets.1", - resnet_prefix=f"{original_unet_prefix}.middle_block.{original_block_idx}", - ) - ) - - return diffusers_checkpoint - - -# .output_blocks -> .up_blocks -def unet_upblock_to_diffusers_checkpoint( - model, checkpoint, *, diffusers_up_block_idx, original_up_block_idx, original_unet_prefix, num_head_channels -): - diffusers_checkpoint = {} - - diffusers_resnet_prefix = f"up_blocks.{diffusers_up_block_idx}.resnets" - original_up_block_prefix = f"{original_unet_prefix}.output_blocks" - - up_block = model.up_blocks[diffusers_up_block_idx] - - num_resnets = len(up_block.resnets) - - if up_block.upsamplers is None: - upsampler = False - else: - assert len(up_block.upsamplers) == 1 - upsampler = True - # The upsample block is also a resnet - num_resnets += 1 - - has_attentions = hasattr(up_block, "attentions") - - for resnet_idx_inc in range(num_resnets): - if upsampler and resnet_idx_inc == num_resnets - 1: - # this is an upsample block - if has_attentions: - # There is a middle attention block that we skip - original_resnet_block_idx = 2 - else: - original_resnet_block_idx = 1 - - # we add the `minus 1` because the last two resnets are stuck together in the same output block - full_resnet_prefix = ( - f"{original_up_block_prefix}.{original_up_block_idx + resnet_idx_inc - 1}.{original_resnet_block_idx}" - ) - - full_diffusers_resnet_prefix = f"up_blocks.{diffusers_up_block_idx}.upsamplers.0" - else: - # this is a regular resnet block - full_resnet_prefix = f"{original_up_block_prefix}.{original_up_block_idx + resnet_idx_inc}.0" - full_diffusers_resnet_prefix = f"{diffusers_resnet_prefix}.{resnet_idx_inc}" - - diffusers_checkpoint.update( - resnet_to_diffusers_checkpoint( - checkpoint, resnet_prefix=full_resnet_prefix, diffusers_resnet_prefix=full_diffusers_resnet_prefix - ) - ) - - if has_attentions: - num_attentions = len(up_block.attentions) - diffusers_attention_prefix = f"up_blocks.{diffusers_up_block_idx}.attentions" - - for attention_idx_inc in range(num_attentions): - full_attention_prefix = f"{original_up_block_prefix}.{original_up_block_idx + attention_idx_inc}.1" - full_diffusers_attention_prefix = f"{diffusers_attention_prefix}.{attention_idx_inc}" - - diffusers_checkpoint.update( - attention_to_diffusers_checkpoint( - checkpoint, - attention_prefix=full_attention_prefix, - diffusers_attention_prefix=full_diffusers_attention_prefix, - num_head_channels=num_head_channels, - ) - ) - - num_original_down_blocks = num_resnets - 1 if upsampler else num_resnets - - return diffusers_checkpoint, num_original_down_blocks - - -def resnet_to_diffusers_checkpoint(checkpoint, *, diffusers_resnet_prefix, resnet_prefix): - diffusers_checkpoint = { - f"{diffusers_resnet_prefix}.norm1.weight": checkpoint[f"{resnet_prefix}.in_layers.0.weight"], - f"{diffusers_resnet_prefix}.norm1.bias": checkpoint[f"{resnet_prefix}.in_layers.0.bias"], - f"{diffusers_resnet_prefix}.conv1.weight": checkpoint[f"{resnet_prefix}.in_layers.2.weight"], - f"{diffusers_resnet_prefix}.conv1.bias": checkpoint[f"{resnet_prefix}.in_layers.2.bias"], - f"{diffusers_resnet_prefix}.time_emb_proj.weight": checkpoint[f"{resnet_prefix}.emb_layers.1.weight"], - f"{diffusers_resnet_prefix}.time_emb_proj.bias": checkpoint[f"{resnet_prefix}.emb_layers.1.bias"], - f"{diffusers_resnet_prefix}.norm2.weight": checkpoint[f"{resnet_prefix}.out_layers.0.weight"], - f"{diffusers_resnet_prefix}.norm2.bias": checkpoint[f"{resnet_prefix}.out_layers.0.bias"], - f"{diffusers_resnet_prefix}.conv2.weight": checkpoint[f"{resnet_prefix}.out_layers.3.weight"], - f"{diffusers_resnet_prefix}.conv2.bias": checkpoint[f"{resnet_prefix}.out_layers.3.bias"], - } - - skip_connection_prefix = f"{resnet_prefix}.skip_connection" - - if f"{skip_connection_prefix}.weight" in checkpoint: - diffusers_checkpoint.update( - { - f"{diffusers_resnet_prefix}.conv_shortcut.weight": checkpoint[f"{skip_connection_prefix}.weight"], - f"{diffusers_resnet_prefix}.conv_shortcut.bias": checkpoint[f"{skip_connection_prefix}.bias"], - } - ) - - return diffusers_checkpoint - - -def attention_to_diffusers_checkpoint(checkpoint, *, diffusers_attention_prefix, attention_prefix, num_head_channels): - diffusers_checkpoint = {} - - # .norm -> .group_norm - diffusers_checkpoint.update( - { - f"{diffusers_attention_prefix}.group_norm.weight": checkpoint[f"{attention_prefix}.norm.weight"], - f"{diffusers_attention_prefix}.group_norm.bias": checkpoint[f"{attention_prefix}.norm.bias"], - } - ) - - # .qkv -> .{query, key, value} - [q_weight, k_weight, v_weight], [q_bias, k_bias, v_bias] = split_attentions( - weight=checkpoint[f"{attention_prefix}.qkv.weight"][:, :, 0], - bias=checkpoint[f"{attention_prefix}.qkv.bias"], - split=3, - chunk_size=num_head_channels, - ) - - diffusers_checkpoint.update( - { - f"{diffusers_attention_prefix}.to_q.weight": q_weight, - f"{diffusers_attention_prefix}.to_q.bias": q_bias, - f"{diffusers_attention_prefix}.to_k.weight": k_weight, - f"{diffusers_attention_prefix}.to_k.bias": k_bias, - f"{diffusers_attention_prefix}.to_v.weight": v_weight, - f"{diffusers_attention_prefix}.to_v.bias": v_bias, - } - ) - - # .encoder_kv -> .{context_key, context_value} - [encoder_k_weight, encoder_v_weight], [encoder_k_bias, encoder_v_bias] = split_attentions( - weight=checkpoint[f"{attention_prefix}.encoder_kv.weight"][:, :, 0], - bias=checkpoint[f"{attention_prefix}.encoder_kv.bias"], - split=2, - chunk_size=num_head_channels, - ) - - diffusers_checkpoint.update( - { - f"{diffusers_attention_prefix}.add_k_proj.weight": encoder_k_weight, - f"{diffusers_attention_prefix}.add_k_proj.bias": encoder_k_bias, - f"{diffusers_attention_prefix}.add_v_proj.weight": encoder_v_weight, - f"{diffusers_attention_prefix}.add_v_proj.bias": encoder_v_bias, - } - ) - - # .proj_out (1d conv) -> .proj_attn (linear) - diffusers_checkpoint.update( - { - f"{diffusers_attention_prefix}.to_out.0.weight": checkpoint[f"{attention_prefix}.proj_out.weight"][ - :, :, 0 - ], - f"{diffusers_attention_prefix}.to_out.0.bias": checkpoint[f"{attention_prefix}.proj_out.bias"], - } - ) - - return diffusers_checkpoint - - -# TODO maybe document and/or can do more efficiently (build indices in for loop and extract once for each split?) -def split_attentions(*, weight, bias, split, chunk_size): - weights = [None] * split - biases = [None] * split - - weights_biases_idx = 0 - - for starting_row_index in range(0, weight.shape[0], chunk_size): - row_indices = torch.arange(starting_row_index, starting_row_index + chunk_size) - - weight_rows = weight[row_indices, :] - bias_rows = bias[row_indices] - - if weights[weights_biases_idx] is None: - assert weights[weights_biases_idx] is None - weights[weights_biases_idx] = weight_rows - biases[weights_biases_idx] = bias_rows - else: - assert weights[weights_biases_idx] is not None - weights[weights_biases_idx] = torch.concat([weights[weights_biases_idx], weight_rows]) - biases[weights_biases_idx] = torch.concat([biases[weights_biases_idx], bias_rows]) - - weights_biases_idx = (weights_biases_idx + 1) % split - - return weights, biases - - -# done unet utils - - -# Driver functions - - -def text_encoder(): - print("loading CLIP text encoder") - - clip_name = "openai/clip-vit-large-patch14" - - # sets pad_value to 0 - pad_token = "!" - - tokenizer_model = CLIPTokenizer.from_pretrained(clip_name, pad_token=pad_token, device_map="auto") - - assert tokenizer_model.convert_tokens_to_ids(pad_token) == 0 - - text_encoder_model = CLIPTextModelWithProjection.from_pretrained( - clip_name, - # `CLIPTextModel` does not support device_map="auto" - # device_map="auto" - ) - - print("done loading CLIP text encoder") - - return text_encoder_model, tokenizer_model - - -def prior(*, args, checkpoint_map_location): - print("loading prior") - - prior_checkpoint = torch.load(args.prior_checkpoint_path, map_location=checkpoint_map_location) - prior_checkpoint = prior_checkpoint["state_dict"] - - clip_stats_checkpoint = torch.load(args.clip_stat_path, map_location=checkpoint_map_location) - - prior_model = prior_model_from_original_config() - - prior_diffusers_checkpoint = prior_original_checkpoint_to_diffusers_checkpoint( - prior_model, prior_checkpoint, clip_stats_checkpoint - ) - - del prior_checkpoint - del clip_stats_checkpoint - - load_checkpoint_to_model(prior_diffusers_checkpoint, prior_model, strict=True) - - print("done loading prior") - - return prior_model - - -def decoder(*, args, checkpoint_map_location): - print("loading decoder") - - decoder_checkpoint = torch.load(args.decoder_checkpoint_path, map_location=checkpoint_map_location) - decoder_checkpoint = decoder_checkpoint["state_dict"] - - decoder_model = decoder_model_from_original_config() - - decoder_diffusers_checkpoint = decoder_original_checkpoint_to_diffusers_checkpoint( - decoder_model, decoder_checkpoint - ) - - # text proj interlude - - # The original decoder implementation includes a set of parameters that are used - # for creating the `encoder_hidden_states` which are what the U-net is conditioned - # on. The diffusers conditional unet directly takes the encoder_hidden_states. We pull - # the parameters into the UnCLIPTextProjModel class - text_proj_model = text_proj_from_original_config() - - text_proj_checkpoint = text_proj_original_checkpoint_to_diffusers_checkpoint(decoder_checkpoint) - - load_checkpoint_to_model(text_proj_checkpoint, text_proj_model, strict=True) - - # done text proj interlude - - del decoder_checkpoint - - load_checkpoint_to_model(decoder_diffusers_checkpoint, decoder_model, strict=True) - - print("done loading decoder") - - return decoder_model, text_proj_model - - -def super_res_unet(*, args, checkpoint_map_location): - print("loading super resolution unet") - - super_res_checkpoint = torch.load(args.super_res_unet_checkpoint_path, map_location=checkpoint_map_location) - super_res_checkpoint = super_res_checkpoint["state_dict"] - - # model_first_steps - - super_res_first_model = super_res_unet_first_steps_model_from_original_config() - - super_res_first_steps_checkpoint = super_res_unet_first_steps_original_checkpoint_to_diffusers_checkpoint( - super_res_first_model, super_res_checkpoint - ) - - # model_last_step - super_res_last_model = super_res_unet_last_step_model_from_original_config() - - super_res_last_step_checkpoint = super_res_unet_last_step_original_checkpoint_to_diffusers_checkpoint( - super_res_last_model, super_res_checkpoint - ) - - del super_res_checkpoint - - load_checkpoint_to_model(super_res_first_steps_checkpoint, super_res_first_model, strict=True) - - load_checkpoint_to_model(super_res_last_step_checkpoint, super_res_last_model, strict=True) - - print("done loading super resolution unet") - - return super_res_first_model, super_res_last_model - - -def load_checkpoint_to_model(checkpoint, model, strict=False): - with tempfile.NamedTemporaryFile() as file: - torch.save(checkpoint, file.name) - del checkpoint - if strict: - model.load_state_dict(torch.load(file.name), strict=True) - else: - load_checkpoint_and_dispatch(model, file.name, device_map="auto") - - -if __name__ == "__main__": - parser = argparse.ArgumentParser() - - parser.add_argument("--dump_path", default=None, type=str, required=True, help="Path to the output model.") - - parser.add_argument( - "--prior_checkpoint_path", - default=None, - type=str, - required=True, - help="Path to the prior checkpoint to convert.", - ) - - parser.add_argument( - "--decoder_checkpoint_path", - default=None, - type=str, - required=True, - help="Path to the decoder checkpoint to convert.", - ) - - parser.add_argument( - "--super_res_unet_checkpoint_path", - default=None, - type=str, - required=True, - help="Path to the super resolution checkpoint to convert.", - ) - - parser.add_argument( - "--clip_stat_path", default=None, type=str, required=True, help="Path to the clip stats checkpoint to convert." - ) - - parser.add_argument( - "--checkpoint_load_device", - default="cpu", - type=str, - required=False, - help="The device passed to `map_location` when loading checkpoints.", - ) - - parser.add_argument( - "--debug", - default=None, - type=str, - required=False, - help="Only run a specific stage of the convert script. Used for debugging", - ) - - args = parser.parse_args() - - print(f"loading checkpoints to {args.checkpoint_load_device}") - - checkpoint_map_location = torch.device(args.checkpoint_load_device) - - if args.debug is not None: - print(f"debug: only executing {args.debug}") - - if args.debug is None: - text_encoder_model, tokenizer_model = text_encoder() - - prior_model = prior(args=args, checkpoint_map_location=checkpoint_map_location) - - decoder_model, text_proj_model = decoder(args=args, checkpoint_map_location=checkpoint_map_location) - - super_res_first_model, super_res_last_model = super_res_unet( - args=args, checkpoint_map_location=checkpoint_map_location - ) - - prior_scheduler = UnCLIPScheduler( - variance_type="fixed_small_log", - prediction_type="sample", - num_train_timesteps=1000, - clip_sample_range=5.0, - ) - - decoder_scheduler = UnCLIPScheduler( - variance_type="learned_range", - prediction_type="epsilon", - num_train_timesteps=1000, - ) - - super_res_scheduler = UnCLIPScheduler( - variance_type="fixed_small_log", - prediction_type="epsilon", - num_train_timesteps=1000, - ) - - print(f"saving Kakao Brain unCLIP to {args.dump_path}") - - pipe = UnCLIPPipeline( - prior=prior_model, - decoder=decoder_model, - text_proj=text_proj_model, - tokenizer=tokenizer_model, - text_encoder=text_encoder_model, - super_res_first=super_res_first_model, - super_res_last=super_res_last_model, - prior_scheduler=prior_scheduler, - decoder_scheduler=decoder_scheduler, - super_res_scheduler=super_res_scheduler, - ) - pipe.save_pretrained(args.dump_path) - - print("done writing Kakao Brain unCLIP") - elif args.debug == "text_encoder": - text_encoder_model, tokenizer_model = text_encoder() - elif args.debug == "prior": - prior_model = prior(args=args, checkpoint_map_location=checkpoint_map_location) - elif args.debug == "decoder": - decoder_model, text_proj_model = decoder(args=args, checkpoint_map_location=checkpoint_map_location) - elif args.debug == "super_res_unet": - super_res_first_model, super_res_last_model = super_res_unet( - args=args, checkpoint_map_location=checkpoint_map_location - ) - else: - raise ValueError(f"unknown debug value : {args.debug}") diff --git a/spaces/Androidonnxfork/CivitAi-to-Diffusers/diffusers/src/diffusers/pipelines/score_sde_ve/pipeline_score_sde_ve.py b/spaces/Androidonnxfork/CivitAi-to-Diffusers/diffusers/src/diffusers/pipelines/score_sde_ve/pipeline_score_sde_ve.py deleted file mode 100644 index ace4f0c60db8eb2784d8f538e163e1958068a9d1..0000000000000000000000000000000000000000 --- a/spaces/Androidonnxfork/CivitAi-to-Diffusers/diffusers/src/diffusers/pipelines/score_sde_ve/pipeline_score_sde_ve.py +++ /dev/null @@ -1,108 +0,0 @@ -# Copyright 2023 The HuggingFace Team. All rights reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from typing import List, Optional, Tuple, Union - -import torch - -from ...models import UNet2DModel -from ...schedulers import ScoreSdeVeScheduler -from ...utils import randn_tensor -from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput - - -class ScoreSdeVePipeline(DiffusionPipeline): - r""" - Pipeline for unconditional image generation. - - This model inherits from [`DiffusionPipeline`]. Check the superclass documentation for the generic methods - implemented for all pipelines (downloading, saving, running on a particular device, etc.). - - Parameters: - unet ([`UNet2DModel`]): - A `UNet2DModel` to denoise the encoded image. - scheduler ([`ScoreSdeVeScheduler`]): - A `ScoreSdeVeScheduler` to be used in combination with `unet` to denoise the encoded image. - """ - unet: UNet2DModel - scheduler: ScoreSdeVeScheduler - - def __init__(self, unet: UNet2DModel, scheduler: ScoreSdeVeScheduler): - super().__init__() - self.register_modules(unet=unet, scheduler=scheduler) - - @torch.no_grad() - def __call__( - self, - batch_size: int = 1, - num_inference_steps: int = 2000, - generator: Optional[Union[torch.Generator, List[torch.Generator]]] = None, - output_type: Optional[str] = "pil", - return_dict: bool = True, - **kwargs, - ) -> Union[ImagePipelineOutput, Tuple]: - r""" - The call function to the pipeline for generation. - - Args: - batch_size (`int`, *optional*, defaults to 1): - The number of images to generate. - generator (`torch.Generator`, `optional`): - A [`torch.Generator`](https://pytorch.org/docs/stable/generated/torch.Generator.html) to make - generation deterministic. - output_type (`str`, `optional`, defaults to `"pil"`): - The output format of the generated image. Choose between `PIL.Image` or `np.array`. - return_dict (`bool`, *optional*, defaults to `True`): - Whether or not to return a [`ImagePipelineOutput`] instead of a plain tuple. - - Returns: - [`~pipelines.ImagePipelineOutput`] or `tuple`: - If `return_dict` is `True`, [`~pipelines.ImagePipelineOutput`] is returned, otherwise a `tuple` is - returned where the first element is a list with the generated images. - """ - - img_size = self.unet.config.sample_size - shape = (batch_size, 3, img_size, img_size) - - model = self.unet - - sample = randn_tensor(shape, generator=generator) * self.scheduler.init_noise_sigma - sample = sample.to(self.device) - - self.scheduler.set_timesteps(num_inference_steps) - self.scheduler.set_sigmas(num_inference_steps) - - for i, t in enumerate(self.progress_bar(self.scheduler.timesteps)): - sigma_t = self.scheduler.sigmas[i] * torch.ones(shape[0], device=self.device) - - # correction step - for _ in range(self.scheduler.config.correct_steps): - model_output = self.unet(sample, sigma_t).sample - sample = self.scheduler.step_correct(model_output, sample, generator=generator).prev_sample - - # prediction step - model_output = model(sample, sigma_t).sample - output = self.scheduler.step_pred(model_output, t, sample, generator=generator) - - sample, sample_mean = output.prev_sample, output.prev_sample_mean - - sample = sample_mean.clamp(0, 1) - sample = sample.cpu().permute(0, 2, 3, 1).numpy() - if output_type == "pil": - sample = self.numpy_to_pil(sample) - - if not return_dict: - return (sample,) - - return ImagePipelineOutput(images=sample) diff --git a/spaces/Androidonnxfork/CivitAi-to-Diffusers/diffusers/tests/pipelines/altdiffusion/test_alt_diffusion.py b/spaces/Androidonnxfork/CivitAi-to-Diffusers/diffusers/tests/pipelines/altdiffusion/test_alt_diffusion.py deleted file mode 100644 index 3f16964fd567668514a71f8353c9ea03eca46af8..0000000000000000000000000000000000000000 --- a/spaces/Androidonnxfork/CivitAi-to-Diffusers/diffusers/tests/pipelines/altdiffusion/test_alt_diffusion.py +++ /dev/null @@ -1,254 +0,0 @@ -# coding=utf-8 -# Copyright 2023 HuggingFace Inc. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import gc -import unittest - -import numpy as np -import torch -from transformers import CLIPTextConfig, CLIPTextModel, XLMRobertaTokenizer - -from diffusers import AltDiffusionPipeline, AutoencoderKL, DDIMScheduler, PNDMScheduler, UNet2DConditionModel -from diffusers.pipelines.alt_diffusion.modeling_roberta_series import ( - RobertaSeriesConfig, - RobertaSeriesModelWithTransformation, -) -from diffusers.utils import slow, torch_device -from diffusers.utils.testing_utils import enable_full_determinism, require_torch_gpu - -from ..pipeline_params import TEXT_TO_IMAGE_BATCH_PARAMS, TEXT_TO_IMAGE_IMAGE_PARAMS, TEXT_TO_IMAGE_PARAMS -from ..test_pipelines_common import PipelineKarrasSchedulerTesterMixin, PipelineLatentTesterMixin, PipelineTesterMixin - - -enable_full_determinism() - - -class AltDiffusionPipelineFastTests( - PipelineLatentTesterMixin, PipelineKarrasSchedulerTesterMixin, PipelineTesterMixin, unittest.TestCase -): - pipeline_class = AltDiffusionPipeline - params = TEXT_TO_IMAGE_PARAMS - batch_params = TEXT_TO_IMAGE_BATCH_PARAMS - image_params = TEXT_TO_IMAGE_IMAGE_PARAMS - image_latents_params = TEXT_TO_IMAGE_IMAGE_PARAMS - - def get_dummy_components(self): - torch.manual_seed(0) - unet = UNet2DConditionModel( - block_out_channels=(32, 64), - layers_per_block=2, - sample_size=32, - in_channels=4, - out_channels=4, - down_block_types=("DownBlock2D", "CrossAttnDownBlock2D"), - up_block_types=("CrossAttnUpBlock2D", "UpBlock2D"), - cross_attention_dim=32, - ) - scheduler = DDIMScheduler( - beta_start=0.00085, - beta_end=0.012, - beta_schedule="scaled_linear", - clip_sample=False, - set_alpha_to_one=False, - ) - torch.manual_seed(0) - vae = AutoencoderKL( - block_out_channels=[32, 64], - in_channels=3, - out_channels=3, - down_block_types=["DownEncoderBlock2D", "DownEncoderBlock2D"], - up_block_types=["UpDecoderBlock2D", "UpDecoderBlock2D"], - latent_channels=4, - ) - - # TODO: address the non-deterministic text encoder (fails for save-load tests) - # torch.manual_seed(0) - # text_encoder_config = RobertaSeriesConfig( - # hidden_size=32, - # project_dim=32, - # intermediate_size=37, - # layer_norm_eps=1e-05, - # num_attention_heads=4, - # num_hidden_layers=5, - # vocab_size=5002, - # ) - # text_encoder = RobertaSeriesModelWithTransformation(text_encoder_config) - - torch.manual_seed(0) - text_encoder_config = CLIPTextConfig( - bos_token_id=0, - eos_token_id=2, - hidden_size=32, - projection_dim=32, - intermediate_size=37, - layer_norm_eps=1e-05, - num_attention_heads=4, - num_hidden_layers=5, - pad_token_id=1, - vocab_size=5002, - ) - text_encoder = CLIPTextModel(text_encoder_config) - - tokenizer = XLMRobertaTokenizer.from_pretrained("hf-internal-testing/tiny-xlm-roberta") - tokenizer.model_max_length = 77 - - components = { - "unet": unet, - "scheduler": scheduler, - "vae": vae, - "text_encoder": text_encoder, - "tokenizer": tokenizer, - "safety_checker": None, - "feature_extractor": None, - } - return components - - def get_dummy_inputs(self, device, seed=0): - if str(device).startswith("mps"): - generator = torch.manual_seed(seed) - else: - generator = torch.Generator(device=device).manual_seed(seed) - inputs = { - "prompt": "A painting of a squirrel eating a burger", - "generator": generator, - "num_inference_steps": 2, - "guidance_scale": 6.0, - "output_type": "numpy", - } - return inputs - - def test_attention_slicing_forward_pass(self): - super().test_attention_slicing_forward_pass(expected_max_diff=3e-3) - - def test_inference_batch_single_identical(self): - super().test_inference_batch_single_identical(expected_max_diff=3e-3) - - def test_alt_diffusion_ddim(self): - device = "cpu" # ensure determinism for the device-dependent torch.Generator - - components = self.get_dummy_components() - torch.manual_seed(0) - text_encoder_config = RobertaSeriesConfig( - hidden_size=32, - project_dim=32, - intermediate_size=37, - layer_norm_eps=1e-05, - num_attention_heads=4, - num_hidden_layers=5, - vocab_size=5002, - ) - # TODO: remove after fixing the non-deterministic text encoder - text_encoder = RobertaSeriesModelWithTransformation(text_encoder_config) - components["text_encoder"] = text_encoder - - alt_pipe = AltDiffusionPipeline(**components) - alt_pipe = alt_pipe.to(device) - alt_pipe.set_progress_bar_config(disable=None) - - inputs = self.get_dummy_inputs(device) - inputs["prompt"] = "A photo of an astronaut" - output = alt_pipe(**inputs) - image = output.images - image_slice = image[0, -3:, -3:, -1] - - assert image.shape == (1, 64, 64, 3) - expected_slice = np.array( - [0.5748162, 0.60447145, 0.48821217, 0.50100636, 0.5431185, 0.45763683, 0.49657696, 0.48132733, 0.47573093] - ) - - assert np.abs(image_slice.flatten() - expected_slice).max() < 1e-2 - - def test_alt_diffusion_pndm(self): - device = "cpu" # ensure determinism for the device-dependent torch.Generator - - components = self.get_dummy_components() - components["scheduler"] = PNDMScheduler(skip_prk_steps=True) - torch.manual_seed(0) - text_encoder_config = RobertaSeriesConfig( - hidden_size=32, - project_dim=32, - intermediate_size=37, - layer_norm_eps=1e-05, - num_attention_heads=4, - num_hidden_layers=5, - vocab_size=5002, - ) - # TODO: remove after fixing the non-deterministic text encoder - text_encoder = RobertaSeriesModelWithTransformation(text_encoder_config) - components["text_encoder"] = text_encoder - alt_pipe = AltDiffusionPipeline(**components) - alt_pipe = alt_pipe.to(device) - alt_pipe.set_progress_bar_config(disable=None) - - inputs = self.get_dummy_inputs(device) - output = alt_pipe(**inputs) - image = output.images - image_slice = image[0, -3:, -3:, -1] - - assert image.shape == (1, 64, 64, 3) - expected_slice = np.array( - [0.51605093, 0.5707241, 0.47365507, 0.50578886, 0.5633877, 0.4642503, 0.5182081, 0.48763484, 0.49084237] - ) - - assert np.abs(image_slice.flatten() - expected_slice).max() < 1e-2 - - -@slow -@require_torch_gpu -class AltDiffusionPipelineIntegrationTests(unittest.TestCase): - def tearDown(self): - # clean up the VRAM after each test - super().tearDown() - gc.collect() - torch.cuda.empty_cache() - - def test_alt_diffusion(self): - # make sure here that pndm scheduler skips prk - alt_pipe = AltDiffusionPipeline.from_pretrained("BAAI/AltDiffusion", safety_checker=None) - alt_pipe = alt_pipe.to(torch_device) - alt_pipe.set_progress_bar_config(disable=None) - - prompt = "A painting of a squirrel eating a burger" - generator = torch.manual_seed(0) - output = alt_pipe([prompt], generator=generator, guidance_scale=6.0, num_inference_steps=20, output_type="np") - - image = output.images - - image_slice = image[0, -3:, -3:, -1] - - assert image.shape == (1, 512, 512, 3) - expected_slice = np.array([0.1010, 0.0800, 0.0794, 0.0885, 0.0843, 0.0762, 0.0769, 0.0729, 0.0586]) - - assert np.abs(image_slice.flatten() - expected_slice).max() < 1e-2 - - def test_alt_diffusion_fast_ddim(self): - scheduler = DDIMScheduler.from_pretrained("BAAI/AltDiffusion", subfolder="scheduler") - - alt_pipe = AltDiffusionPipeline.from_pretrained("BAAI/AltDiffusion", scheduler=scheduler, safety_checker=None) - alt_pipe = alt_pipe.to(torch_device) - alt_pipe.set_progress_bar_config(disable=None) - - prompt = "A painting of a squirrel eating a burger" - generator = torch.manual_seed(0) - - output = alt_pipe([prompt], generator=generator, num_inference_steps=2, output_type="numpy") - image = output.images - - image_slice = image[0, -3:, -3:, -1] - - assert image.shape == (1, 512, 512, 3) - expected_slice = np.array([0.4019, 0.4052, 0.3810, 0.4119, 0.3916, 0.3982, 0.4651, 0.4195, 0.5323]) - - assert np.abs(image_slice.flatten() - expected_slice).max() < 1e-2 diff --git a/spaces/Andy1621/uniformer_image_detection/configs/htc/htc_without_semantic_r50_fpn_1x_coco.py b/spaces/Andy1621/uniformer_image_detection/configs/htc/htc_without_semantic_r50_fpn_1x_coco.py deleted file mode 100644 index d028d98aec69f21c3b717a0430f95f95d1080213..0000000000000000000000000000000000000000 --- a/spaces/Andy1621/uniformer_image_detection/configs/htc/htc_without_semantic_r50_fpn_1x_coco.py +++ /dev/null @@ -1,236 +0,0 @@ -_base_ = [ - '../_base_/datasets/coco_instance.py', - '../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py' -] -# model settings -model = dict( - type='HybridTaskCascade', - pretrained='torchvision://resnet50', - backbone=dict( - type='ResNet', - depth=50, - num_stages=4, - out_indices=(0, 1, 2, 3), - frozen_stages=1, - norm_cfg=dict(type='BN', requires_grad=True), - norm_eval=True, - style='pytorch'), - neck=dict( - type='FPN', - in_channels=[256, 512, 1024, 2048], - out_channels=256, - num_outs=5), - rpn_head=dict( - type='RPNHead', - in_channels=256, - feat_channels=256, - anchor_generator=dict( - type='AnchorGenerator', - scales=[8], - ratios=[0.5, 1.0, 2.0], - strides=[4, 8, 16, 32, 64]), - bbox_coder=dict( - type='DeltaXYWHBBoxCoder', - target_means=[.0, .0, .0, .0], - target_stds=[1.0, 1.0, 1.0, 1.0]), - loss_cls=dict( - type='CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0), - loss_bbox=dict(type='SmoothL1Loss', beta=1.0 / 9.0, loss_weight=1.0)), - roi_head=dict( - type='HybridTaskCascadeRoIHead', - interleaved=True, - mask_info_flow=True, - num_stages=3, - stage_loss_weights=[1, 0.5, 0.25], - bbox_roi_extractor=dict( - type='SingleRoIExtractor', - roi_layer=dict(type='RoIAlign', output_size=7, sampling_ratio=0), - out_channels=256, - featmap_strides=[4, 8, 16, 32]), - bbox_head=[ - dict( - type='Shared2FCBBoxHead', - in_channels=256, - fc_out_channels=1024, - roi_feat_size=7, - num_classes=80, - bbox_coder=dict( - type='DeltaXYWHBBoxCoder', - target_means=[0., 0., 0., 0.], - target_stds=[0.1, 0.1, 0.2, 0.2]), - reg_class_agnostic=True, - loss_cls=dict( - type='CrossEntropyLoss', - use_sigmoid=False, - loss_weight=1.0), - loss_bbox=dict(type='SmoothL1Loss', beta=1.0, - loss_weight=1.0)), - dict( - type='Shared2FCBBoxHead', - in_channels=256, - fc_out_channels=1024, - roi_feat_size=7, - num_classes=80, - bbox_coder=dict( - type='DeltaXYWHBBoxCoder', - target_means=[0., 0., 0., 0.], - target_stds=[0.05, 0.05, 0.1, 0.1]), - reg_class_agnostic=True, - loss_cls=dict( - type='CrossEntropyLoss', - use_sigmoid=False, - loss_weight=1.0), - loss_bbox=dict(type='SmoothL1Loss', beta=1.0, - loss_weight=1.0)), - dict( - type='Shared2FCBBoxHead', - in_channels=256, - fc_out_channels=1024, - roi_feat_size=7, - num_classes=80, - bbox_coder=dict( - type='DeltaXYWHBBoxCoder', - target_means=[0., 0., 0., 0.], - target_stds=[0.033, 0.033, 0.067, 0.067]), - reg_class_agnostic=True, - loss_cls=dict( - type='CrossEntropyLoss', - use_sigmoid=False, - loss_weight=1.0), - loss_bbox=dict(type='SmoothL1Loss', beta=1.0, loss_weight=1.0)) - ], - mask_roi_extractor=dict( - type='SingleRoIExtractor', - roi_layer=dict(type='RoIAlign', output_size=14, sampling_ratio=0), - out_channels=256, - featmap_strides=[4, 8, 16, 32]), - mask_head=[ - dict( - type='HTCMaskHead', - with_conv_res=False, - num_convs=4, - in_channels=256, - conv_out_channels=256, - num_classes=80, - loss_mask=dict( - type='CrossEntropyLoss', use_mask=True, loss_weight=1.0)), - dict( - type='HTCMaskHead', - num_convs=4, - in_channels=256, - conv_out_channels=256, - num_classes=80, - loss_mask=dict( - type='CrossEntropyLoss', use_mask=True, loss_weight=1.0)), - dict( - type='HTCMaskHead', - num_convs=4, - in_channels=256, - conv_out_channels=256, - num_classes=80, - loss_mask=dict( - type='CrossEntropyLoss', use_mask=True, loss_weight=1.0)) - ]), - # model training and testing settings - train_cfg=dict( - rpn=dict( - assigner=dict( - type='MaxIoUAssigner', - pos_iou_thr=0.7, - neg_iou_thr=0.3, - min_pos_iou=0.3, - ignore_iof_thr=-1), - sampler=dict( - type='RandomSampler', - num=256, - pos_fraction=0.5, - neg_pos_ub=-1, - add_gt_as_proposals=False), - allowed_border=0, - pos_weight=-1, - debug=False), - rpn_proposal=dict( - nms_pre=2000, - max_per_img=2000, - nms=dict(type='nms', iou_threshold=0.7), - min_bbox_size=0), - rcnn=[ - dict( - assigner=dict( - type='MaxIoUAssigner', - pos_iou_thr=0.5, - neg_iou_thr=0.5, - min_pos_iou=0.5, - ignore_iof_thr=-1), - sampler=dict( - type='RandomSampler', - num=512, - pos_fraction=0.25, - neg_pos_ub=-1, - add_gt_as_proposals=True), - mask_size=28, - pos_weight=-1, - debug=False), - dict( - assigner=dict( - type='MaxIoUAssigner', - pos_iou_thr=0.6, - neg_iou_thr=0.6, - min_pos_iou=0.6, - ignore_iof_thr=-1), - sampler=dict( - type='RandomSampler', - num=512, - pos_fraction=0.25, - neg_pos_ub=-1, - add_gt_as_proposals=True), - mask_size=28, - pos_weight=-1, - debug=False), - dict( - assigner=dict( - type='MaxIoUAssigner', - pos_iou_thr=0.7, - neg_iou_thr=0.7, - min_pos_iou=0.7, - ignore_iof_thr=-1), - sampler=dict( - type='RandomSampler', - num=512, - pos_fraction=0.25, - neg_pos_ub=-1, - add_gt_as_proposals=True), - mask_size=28, - pos_weight=-1, - debug=False) - ]), - test_cfg=dict( - rpn=dict( - nms_pre=1000, - max_per_img=1000, - nms=dict(type='nms', iou_threshold=0.7), - min_bbox_size=0), - rcnn=dict( - score_thr=0.001, - nms=dict(type='nms', iou_threshold=0.5), - max_per_img=100, - mask_thr_binary=0.5))) -img_norm_cfg = dict( - mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) -test_pipeline = [ - dict(type='LoadImageFromFile'), - dict( - type='MultiScaleFlipAug', - img_scale=(1333, 800), - flip=False, - transforms=[ - dict(type='Resize', keep_ratio=True), - dict(type='RandomFlip', flip_ratio=0.5), - dict(type='Normalize', **img_norm_cfg), - dict(type='Pad', size_divisor=32), - dict(type='ImageToTensor', keys=['img']), - dict(type='Collect', keys=['img']), - ]) -] -data = dict( - val=dict(pipeline=test_pipeline), test=dict(pipeline=test_pipeline)) diff --git a/spaces/Andy1621/uniformer_image_detection/mmdet/models/roi_heads/bbox_heads/bbox_head.py b/spaces/Andy1621/uniformer_image_detection/mmdet/models/roi_heads/bbox_heads/bbox_head.py deleted file mode 100644 index 408abef3a244115b4e73748049a228e37ad0665c..0000000000000000000000000000000000000000 --- a/spaces/Andy1621/uniformer_image_detection/mmdet/models/roi_heads/bbox_heads/bbox_head.py +++ /dev/null @@ -1,483 +0,0 @@ -import torch -import torch.nn as nn -import torch.nn.functional as F -from mmcv.runner import auto_fp16, force_fp32 -from torch.nn.modules.utils import _pair - -from mmdet.core import build_bbox_coder, multi_apply, multiclass_nms -from mmdet.models.builder import HEADS, build_loss -from mmdet.models.losses import accuracy - - -@HEADS.register_module() -class BBoxHead(nn.Module): - """Simplest RoI head, with only two fc layers for classification and - regression respectively.""" - - def __init__(self, - with_avg_pool=False, - with_cls=True, - with_reg=True, - roi_feat_size=7, - in_channels=256, - num_classes=80, - bbox_coder=dict( - type='DeltaXYWHBBoxCoder', - clip_border=True, - target_means=[0., 0., 0., 0.], - target_stds=[0.1, 0.1, 0.2, 0.2]), - reg_class_agnostic=False, - reg_decoded_bbox=False, - loss_cls=dict( - type='CrossEntropyLoss', - use_sigmoid=False, - loss_weight=1.0), - loss_bbox=dict( - type='SmoothL1Loss', beta=1.0, loss_weight=1.0)): - super(BBoxHead, self).__init__() - assert with_cls or with_reg - self.with_avg_pool = with_avg_pool - self.with_cls = with_cls - self.with_reg = with_reg - self.roi_feat_size = _pair(roi_feat_size) - self.roi_feat_area = self.roi_feat_size[0] * self.roi_feat_size[1] - self.in_channels = in_channels - self.num_classes = num_classes - self.reg_class_agnostic = reg_class_agnostic - self.reg_decoded_bbox = reg_decoded_bbox - self.fp16_enabled = False - - self.bbox_coder = build_bbox_coder(bbox_coder) - self.loss_cls = build_loss(loss_cls) - self.loss_bbox = build_loss(loss_bbox) - - in_channels = self.in_channels - if self.with_avg_pool: - self.avg_pool = nn.AvgPool2d(self.roi_feat_size) - else: - in_channels *= self.roi_feat_area - if self.with_cls: - # need to add background class - self.fc_cls = nn.Linear(in_channels, num_classes + 1) - if self.with_reg: - out_dim_reg = 4 if reg_class_agnostic else 4 * num_classes - self.fc_reg = nn.Linear(in_channels, out_dim_reg) - self.debug_imgs = None - - def init_weights(self): - # conv layers are already initialized by ConvModule - if self.with_cls: - nn.init.normal_(self.fc_cls.weight, 0, 0.01) - nn.init.constant_(self.fc_cls.bias, 0) - if self.with_reg: - nn.init.normal_(self.fc_reg.weight, 0, 0.001) - nn.init.constant_(self.fc_reg.bias, 0) - - @auto_fp16() - def forward(self, x): - if self.with_avg_pool: - x = self.avg_pool(x) - x = x.view(x.size(0), -1) - cls_score = self.fc_cls(x) if self.with_cls else None - bbox_pred = self.fc_reg(x) if self.with_reg else None - return cls_score, bbox_pred - - def _get_target_single(self, pos_bboxes, neg_bboxes, pos_gt_bboxes, - pos_gt_labels, cfg): - """Calculate the ground truth for proposals in the single image - according to the sampling results. - - Args: - pos_bboxes (Tensor): Contains all the positive boxes, - has shape (num_pos, 4), the last dimension 4 - represents [tl_x, tl_y, br_x, br_y]. - neg_bboxes (Tensor): Contains all the negative boxes, - has shape (num_neg, 4), the last dimension 4 - represents [tl_x, tl_y, br_x, br_y]. - pos_gt_bboxes (Tensor): Contains all the gt_boxes, - has shape (num_gt, 4), the last dimension 4 - represents [tl_x, tl_y, br_x, br_y]. - pos_gt_labels (Tensor): Contains all the gt_labels, - has shape (num_gt). - cfg (obj:`ConfigDict`): `train_cfg` of R-CNN. - - Returns: - Tuple[Tensor]: Ground truth for proposals - in a single image. Containing the following Tensors: - - - labels(Tensor): Gt_labels for all proposals, has - shape (num_proposals,). - - label_weights(Tensor): Labels_weights for all - proposals, has shape (num_proposals,). - - bbox_targets(Tensor):Regression target for all - proposals, has shape (num_proposals, 4), the - last dimension 4 represents [tl_x, tl_y, br_x, br_y]. - - bbox_weights(Tensor):Regression weights for all - proposals, has shape (num_proposals, 4). - """ - num_pos = pos_bboxes.size(0) - num_neg = neg_bboxes.size(0) - num_samples = num_pos + num_neg - - # original implementation uses new_zeros since BG are set to be 0 - # now use empty & fill because BG cat_id = num_classes, - # FG cat_id = [0, num_classes-1] - labels = pos_bboxes.new_full((num_samples, ), - self.num_classes, - dtype=torch.long) - label_weights = pos_bboxes.new_zeros(num_samples) - bbox_targets = pos_bboxes.new_zeros(num_samples, 4) - bbox_weights = pos_bboxes.new_zeros(num_samples, 4) - if num_pos > 0: - labels[:num_pos] = pos_gt_labels - pos_weight = 1.0 if cfg.pos_weight <= 0 else cfg.pos_weight - label_weights[:num_pos] = pos_weight - if not self.reg_decoded_bbox: - pos_bbox_targets = self.bbox_coder.encode( - pos_bboxes, pos_gt_bboxes) - else: - # When the regression loss (e.g. `IouLoss`, `GIouLoss`) - # is applied directly on the decoded bounding boxes, both - # the predicted boxes and regression targets should be with - # absolute coordinate format. - pos_bbox_targets = pos_gt_bboxes - bbox_targets[:num_pos, :] = pos_bbox_targets - bbox_weights[:num_pos, :] = 1 - if num_neg > 0: - label_weights[-num_neg:] = 1.0 - - return labels, label_weights, bbox_targets, bbox_weights - - def get_targets(self, - sampling_results, - gt_bboxes, - gt_labels, - rcnn_train_cfg, - concat=True): - """Calculate the ground truth for all samples in a batch according to - the sampling_results. - - Almost the same as the implementation in bbox_head, we passed - additional parameters pos_inds_list and neg_inds_list to - `_get_target_single` function. - - Args: - sampling_results (List[obj:SamplingResults]): Assign results of - all images in a batch after sampling. - gt_bboxes (list[Tensor]): Gt_bboxes of all images in a batch, - each tensor has shape (num_gt, 4), the last dimension 4 - represents [tl_x, tl_y, br_x, br_y]. - gt_labels (list[Tensor]): Gt_labels of all images in a batch, - each tensor has shape (num_gt,). - rcnn_train_cfg (obj:ConfigDict): `train_cfg` of RCNN. - concat (bool): Whether to concatenate the results of all - the images in a single batch. - - Returns: - Tuple[Tensor]: Ground truth for proposals in a single image. - Containing the following list of Tensors: - - - labels (list[Tensor],Tensor): Gt_labels for all - proposals in a batch, each tensor in list has - shape (num_proposals,) when `concat=False`, otherwise - just a single tensor has shape (num_all_proposals,). - - label_weights (list[Tensor]): Labels_weights for - all proposals in a batch, each tensor in list has - shape (num_proposals,) when `concat=False`, otherwise - just a single tensor has shape (num_all_proposals,). - - bbox_targets (list[Tensor],Tensor): Regression target - for all proposals in a batch, each tensor in list - has shape (num_proposals, 4) when `concat=False`, - otherwise just a single tensor has shape - (num_all_proposals, 4), the last dimension 4 represents - [tl_x, tl_y, br_x, br_y]. - - bbox_weights (list[tensor],Tensor): Regression weights for - all proposals in a batch, each tensor in list has shape - (num_proposals, 4) when `concat=False`, otherwise just a - single tensor has shape (num_all_proposals, 4). - """ - pos_bboxes_list = [res.pos_bboxes for res in sampling_results] - neg_bboxes_list = [res.neg_bboxes for res in sampling_results] - pos_gt_bboxes_list = [res.pos_gt_bboxes for res in sampling_results] - pos_gt_labels_list = [res.pos_gt_labels for res in sampling_results] - labels, label_weights, bbox_targets, bbox_weights = multi_apply( - self._get_target_single, - pos_bboxes_list, - neg_bboxes_list, - pos_gt_bboxes_list, - pos_gt_labels_list, - cfg=rcnn_train_cfg) - - if concat: - labels = torch.cat(labels, 0) - label_weights = torch.cat(label_weights, 0) - bbox_targets = torch.cat(bbox_targets, 0) - bbox_weights = torch.cat(bbox_weights, 0) - return labels, label_weights, bbox_targets, bbox_weights - - @force_fp32(apply_to=('cls_score', 'bbox_pred')) - def loss(self, - cls_score, - bbox_pred, - rois, - labels, - label_weights, - bbox_targets, - bbox_weights, - reduction_override=None): - losses = dict() - if cls_score is not None: - avg_factor = max(torch.sum(label_weights > 0).float().item(), 1.) - if cls_score.numel() > 0: - losses['loss_cls'] = self.loss_cls( - cls_score, - labels, - label_weights, - avg_factor=avg_factor, - reduction_override=reduction_override) - losses['acc'] = accuracy(cls_score, labels) - if bbox_pred is not None: - bg_class_ind = self.num_classes - # 0~self.num_classes-1 are FG, self.num_classes is BG - pos_inds = (labels >= 0) & (labels < bg_class_ind) - # do not perform bounding box regression for BG anymore. - if pos_inds.any(): - if self.reg_decoded_bbox: - # When the regression loss (e.g. `IouLoss`, - # `GIouLoss`, `DIouLoss`) is applied directly on - # the decoded bounding boxes, it decodes the - # already encoded coordinates to absolute format. - bbox_pred = self.bbox_coder.decode(rois[:, 1:], bbox_pred) - if self.reg_class_agnostic: - pos_bbox_pred = bbox_pred.view( - bbox_pred.size(0), 4)[pos_inds.type(torch.bool)] - else: - pos_bbox_pred = bbox_pred.view( - bbox_pred.size(0), -1, - 4)[pos_inds.type(torch.bool), - labels[pos_inds.type(torch.bool)]] - losses['loss_bbox'] = self.loss_bbox( - pos_bbox_pred, - bbox_targets[pos_inds.type(torch.bool)], - bbox_weights[pos_inds.type(torch.bool)], - avg_factor=bbox_targets.size(0), - reduction_override=reduction_override) - else: - losses['loss_bbox'] = bbox_pred[pos_inds].sum() - return losses - - @force_fp32(apply_to=('cls_score', 'bbox_pred')) - def get_bboxes(self, - rois, - cls_score, - bbox_pred, - img_shape, - scale_factor, - rescale=False, - cfg=None): - """Transform network output for a batch into bbox predictions. - - If the input rois has batch dimension, the function would be in - `batch_mode` and return is a tuple[list[Tensor], list[Tensor]], - otherwise, the return is a tuple[Tensor, Tensor]. - - Args: - rois (Tensor): Boxes to be transformed. Has shape (num_boxes, 5) - or (B, num_boxes, 5) - cls_score (list[Tensor] or Tensor): Box scores for - each scale level, each is a 4D-tensor, the channel number is - num_points * num_classes. - bbox_pred (Tensor, optional): Box energies / deltas for each scale - level, each is a 4D-tensor, the channel number is - num_classes * 4. - img_shape (Sequence[int] or torch.Tensor or Sequence[ - Sequence[int]], optional): Maximum bounds for boxes, specifies - (H, W, C) or (H, W). If rois shape is (B, num_boxes, 4), then - the max_shape should be a Sequence[Sequence[int]] - and the length of max_shape should also be B. - scale_factor (tuple[ndarray] or ndarray): Scale factor of the - image arange as (w_scale, h_scale, w_scale, h_scale). In - `batch_mode`, the scale_factor shape is tuple[ndarray]. - rescale (bool): If True, return boxes in original image space. - Default: False. - cfg (obj:`ConfigDict`): `test_cfg` of Bbox Head. Default: None - - Returns: - tuple[list[Tensor], list[Tensor]] or tuple[Tensor, Tensor]: - If the input has a batch dimension, the return value is - a tuple of the list. The first list contains the boxes of - the corresponding image in a batch, each tensor has the - shape (num_boxes, 5) and last dimension 5 represent - (tl_x, tl_y, br_x, br_y, score). Each Tensor in the second - list is the labels with shape (num_boxes, ). The length of - both lists should be equal to batch_size. Otherwise return - value is a tuple of two tensors, the first tensor is the - boxes with scores, the second tensor is the labels, both - have the same shape as the first case. - """ - if isinstance(cls_score, list): - cls_score = sum(cls_score) / float(len(cls_score)) - - scores = F.softmax( - cls_score, dim=-1) if cls_score is not None else None - - batch_mode = True - if rois.ndim == 2: - # e.g. AugTest, Cascade R-CNN, HTC, SCNet... - batch_mode = False - - # add batch dimension - if scores is not None: - scores = scores.unsqueeze(0) - if bbox_pred is not None: - bbox_pred = bbox_pred.unsqueeze(0) - rois = rois.unsqueeze(0) - - if bbox_pred is not None: - bboxes = self.bbox_coder.decode( - rois[..., 1:], bbox_pred, max_shape=img_shape) - else: - bboxes = rois[..., 1:].clone() - if img_shape is not None: - max_shape = bboxes.new_tensor(img_shape)[..., :2] - min_xy = bboxes.new_tensor(0) - max_xy = torch.cat( - [max_shape] * 2, dim=-1).flip(-1).unsqueeze(-2) - bboxes = torch.where(bboxes < min_xy, min_xy, bboxes) - bboxes = torch.where(bboxes > max_xy, max_xy, bboxes) - - if rescale and bboxes.size(-2) > 0: - if not isinstance(scale_factor, tuple): - scale_factor = tuple([scale_factor]) - # B, 1, bboxes.size(-1) - scale_factor = bboxes.new_tensor(scale_factor).unsqueeze(1).repeat( - 1, 1, - bboxes.size(-1) // 4) - bboxes /= scale_factor - - det_bboxes = [] - det_labels = [] - for (bbox, score) in zip(bboxes, scores): - if cfg is not None: - det_bbox, det_label = multiclass_nms(bbox, score, - cfg.score_thr, cfg.nms, - cfg.max_per_img) - else: - det_bbox, det_label = bbox, score - det_bboxes.append(det_bbox) - det_labels.append(det_label) - - if not batch_mode: - det_bboxes = det_bboxes[0] - det_labels = det_labels[0] - return det_bboxes, det_labels - - @force_fp32(apply_to=('bbox_preds', )) - def refine_bboxes(self, rois, labels, bbox_preds, pos_is_gts, img_metas): - """Refine bboxes during training. - - Args: - rois (Tensor): Shape (n*bs, 5), where n is image number per GPU, - and bs is the sampled RoIs per image. The first column is - the image id and the next 4 columns are x1, y1, x2, y2. - labels (Tensor): Shape (n*bs, ). - bbox_preds (Tensor): Shape (n*bs, 4) or (n*bs, 4*#class). - pos_is_gts (list[Tensor]): Flags indicating if each positive bbox - is a gt bbox. - img_metas (list[dict]): Meta info of each image. - - Returns: - list[Tensor]: Refined bboxes of each image in a mini-batch. - - Example: - >>> # xdoctest: +REQUIRES(module:kwarray) - >>> import kwarray - >>> import numpy as np - >>> from mmdet.core.bbox.demodata import random_boxes - >>> self = BBoxHead(reg_class_agnostic=True) - >>> n_roi = 2 - >>> n_img = 4 - >>> scale = 512 - >>> rng = np.random.RandomState(0) - >>> img_metas = [{'img_shape': (scale, scale)} - ... for _ in range(n_img)] - >>> # Create rois in the expected format - >>> roi_boxes = random_boxes(n_roi, scale=scale, rng=rng) - >>> img_ids = torch.randint(0, n_img, (n_roi,)) - >>> img_ids = img_ids.float() - >>> rois = torch.cat([img_ids[:, None], roi_boxes], dim=1) - >>> # Create other args - >>> labels = torch.randint(0, 2, (n_roi,)).long() - >>> bbox_preds = random_boxes(n_roi, scale=scale, rng=rng) - >>> # For each image, pretend random positive boxes are gts - >>> is_label_pos = (labels.numpy() > 0).astype(np.int) - >>> lbl_per_img = kwarray.group_items(is_label_pos, - ... img_ids.numpy()) - >>> pos_per_img = [sum(lbl_per_img.get(gid, [])) - ... for gid in range(n_img)] - >>> pos_is_gts = [ - >>> torch.randint(0, 2, (npos,)).byte().sort( - >>> descending=True)[0] - >>> for npos in pos_per_img - >>> ] - >>> bboxes_list = self.refine_bboxes(rois, labels, bbox_preds, - >>> pos_is_gts, img_metas) - >>> print(bboxes_list) - """ - img_ids = rois[:, 0].long().unique(sorted=True) - assert img_ids.numel() <= len(img_metas) - - bboxes_list = [] - for i in range(len(img_metas)): - inds = torch.nonzero( - rois[:, 0] == i, as_tuple=False).squeeze(dim=1) - num_rois = inds.numel() - - bboxes_ = rois[inds, 1:] - label_ = labels[inds] - bbox_pred_ = bbox_preds[inds] - img_meta_ = img_metas[i] - pos_is_gts_ = pos_is_gts[i] - - bboxes = self.regress_by_class(bboxes_, label_, bbox_pred_, - img_meta_) - - # filter gt bboxes - pos_keep = 1 - pos_is_gts_ - keep_inds = pos_is_gts_.new_ones(num_rois) - keep_inds[:len(pos_is_gts_)] = pos_keep - - bboxes_list.append(bboxes[keep_inds.type(torch.bool)]) - - return bboxes_list - - @force_fp32(apply_to=('bbox_pred', )) - def regress_by_class(self, rois, label, bbox_pred, img_meta): - """Regress the bbox for the predicted class. Used in Cascade R-CNN. - - Args: - rois (Tensor): shape (n, 4) or (n, 5) - label (Tensor): shape (n, ) - bbox_pred (Tensor): shape (n, 4*(#class)) or (n, 4) - img_meta (dict): Image meta info. - - Returns: - Tensor: Regressed bboxes, the same shape as input rois. - """ - assert rois.size(1) == 4 or rois.size(1) == 5, repr(rois.shape) - - if not self.reg_class_agnostic: - label = label * 4 - inds = torch.stack((label, label + 1, label + 2, label + 3), 1) - bbox_pred = torch.gather(bbox_pred, 1, inds) - assert bbox_pred.size(1) == 4 - - if rois.size(1) == 4: - new_rois = self.bbox_coder.decode( - rois, bbox_pred, max_shape=img_meta['img_shape']) - else: - bboxes = self.bbox_coder.decode( - rois[:, 1:], bbox_pred, max_shape=img_meta['img_shape']) - new_rois = torch.cat((rois[:, [0]], bboxes), dim=1) - - return new_rois diff --git a/spaces/Andy1621/uniformer_image_segmentation/configs/pspnet/pspnet_r101-d8_512x512_40k_voc12aug.py b/spaces/Andy1621/uniformer_image_segmentation/configs/pspnet/pspnet_r101-d8_512x512_40k_voc12aug.py deleted file mode 100644 index 15f578b6002c481ada06befc3ea66accbbdd1f66..0000000000000000000000000000000000000000 --- a/spaces/Andy1621/uniformer_image_segmentation/configs/pspnet/pspnet_r101-d8_512x512_40k_voc12aug.py +++ /dev/null @@ -1,2 +0,0 @@ -_base_ = './pspnet_r50-d8_512x512_40k_voc12aug.py' -model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101)) diff --git a/spaces/Anni123/AuRoRA/README.md b/spaces/Anni123/AuRoRA/README.md deleted file mode 100644 index a09c0ae61c397ae5d970f7df1ba9c1464e48c363..0000000000000000000000000000000000000000 --- a/spaces/Anni123/AuRoRA/README.md +++ /dev/null @@ -1,6 +0,0 @@ ---- -title: Unified-Adapter -app_file: app.py -sdk: gradio -sdk_version: 3.36.1 ---- diff --git a/spaces/Anonymous-sub/Rerender/ControlNet/annotator/uniformer/mmcv/cnn/bricks/padding.py b/spaces/Anonymous-sub/Rerender/ControlNet/annotator/uniformer/mmcv/cnn/bricks/padding.py deleted file mode 100644 index e4ac6b28a1789bd551c613a7d3e7b622433ac7ec..0000000000000000000000000000000000000000 --- a/spaces/Anonymous-sub/Rerender/ControlNet/annotator/uniformer/mmcv/cnn/bricks/padding.py +++ /dev/null @@ -1,36 +0,0 @@ -# Copyright (c) OpenMMLab. All rights reserved. -import torch.nn as nn - -from .registry import PADDING_LAYERS - -PADDING_LAYERS.register_module('zero', module=nn.ZeroPad2d) -PADDING_LAYERS.register_module('reflect', module=nn.ReflectionPad2d) -PADDING_LAYERS.register_module('replicate', module=nn.ReplicationPad2d) - - -def build_padding_layer(cfg, *args, **kwargs): - """Build padding layer. - - Args: - cfg (None or dict): The padding layer config, which should contain: - - type (str): Layer type. - - layer args: Args needed to instantiate a padding layer. - - Returns: - nn.Module: Created padding layer. - """ - if not isinstance(cfg, dict): - raise TypeError('cfg must be a dict') - if 'type' not in cfg: - raise KeyError('the cfg dict must contain the key "type"') - - cfg_ = cfg.copy() - padding_type = cfg_.pop('type') - if padding_type not in PADDING_LAYERS: - raise KeyError(f'Unrecognized padding type {padding_type}.') - else: - padding_layer = PADDING_LAYERS.get(padding_type) - - layer = padding_layer(*args, **kwargs, **cfg_) - - return layer diff --git a/spaces/Ariharasudhan/YoloV5/utils/google_app_engine/Dockerfile b/spaces/Ariharasudhan/YoloV5/utils/google_app_engine/Dockerfile deleted file mode 100644 index 0155618f475104e9858b81470339558156c94e13..0000000000000000000000000000000000000000 --- a/spaces/Ariharasudhan/YoloV5/utils/google_app_engine/Dockerfile +++ /dev/null @@ -1,25 +0,0 @@ -FROM gcr.io/google-appengine/python - -# Create a virtualenv for dependencies. This isolates these packages from -# system-level packages. -# Use -p python3 or -p python3.7 to select python version. Default is version 2. -RUN virtualenv /env -p python3 - -# Setting these environment variables are the same as running -# source /env/bin/activate. -ENV VIRTUAL_ENV /env -ENV PATH /env/bin:$PATH - -RUN apt-get update && apt-get install -y python-opencv - -# Copy the application's requirements.txt and run pip to install all -# dependencies into the virtualenv. -ADD requirements.txt /app/requirements.txt -RUN pip install -r /app/requirements.txt - -# Add the application source code. -ADD . /app - -# Run a WSGI server to serve the application. gunicorn must be declared as -# a dependency in requirements.txt. -CMD gunicorn -b :$PORT main:app diff --git a/spaces/Armored-Atom/gpt2/README.md b/spaces/Armored-Atom/gpt2/README.md deleted file mode 100644 index eb017361817a89b916a91700048c684e3f8b01f7..0000000000000000000000000000000000000000 --- a/spaces/Armored-Atom/gpt2/README.md +++ /dev/null @@ -1,13 +0,0 @@ ---- -title: Gpt2 -emoji: 🚀 -colorFrom: blue -colorTo: blue -sdk: gradio -sdk_version: 3.19.1 -app_file: app.py -pinned: false -license: apache-2.0 ---- - -Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference diff --git a/spaces/Arulkumar03/GroundingDINO_SOTA_Zero_Shot_Model/groundingdino/models/GroundingDINO/backbone/position_encoding.py b/spaces/Arulkumar03/GroundingDINO_SOTA_Zero_Shot_Model/groundingdino/models/GroundingDINO/backbone/position_encoding.py deleted file mode 100644 index eac7e896bbe85a670824bfe8ef487d0535d5bd99..0000000000000000000000000000000000000000 --- a/spaces/Arulkumar03/GroundingDINO_SOTA_Zero_Shot_Model/groundingdino/models/GroundingDINO/backbone/position_encoding.py +++ /dev/null @@ -1,186 +0,0 @@ -# ------------------------------------------------------------------------ -# Grounding DINO -# url: https://github.com/IDEA-Research/GroundingDINO -# Copyright (c) 2023 IDEA. All Rights Reserved. -# Licensed under the Apache License, Version 2.0 [see LICENSE for details] -# ------------------------------------------------------------------------ -# DINO -# Copyright (c) 2022 IDEA. All Rights Reserved. -# Licensed under the Apache License, Version 2.0 [see LICENSE for details] -# ------------------------------------------------------------------------ -# Conditional DETR -# Copyright (c) 2021 Microsoft. All Rights Reserved. -# Licensed under the Apache License, Version 2.0 [see LICENSE for details] -# ------------------------------------------------------------------------ -# Copied from DETR (https://github.com/facebookresearch/detr) -# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. -# ------------------------------------------------------------------------ - -""" -Various positional encodings for the transformer. -""" -import math - -import torch -from torch import nn - -from groundingdino.util.misc import NestedTensor - - -class PositionEmbeddingSine(nn.Module): - """ - This is a more standard version of the position embedding, very similar to the one - used by the Attention is all you need paper, generalized to work on images. - """ - - def __init__(self, num_pos_feats=64, temperature=10000, normalize=False, scale=None): - super().__init__() - self.num_pos_feats = num_pos_feats - self.temperature = temperature - self.normalize = normalize - if scale is not None and normalize is False: - raise ValueError("normalize should be True if scale is passed") - if scale is None: - scale = 2 * math.pi - self.scale = scale - - def forward(self, tensor_list: NestedTensor): - x = tensor_list.tensors - mask = tensor_list.mask - assert mask is not None - not_mask = ~mask - y_embed = not_mask.cumsum(1, dtype=torch.float32) - x_embed = not_mask.cumsum(2, dtype=torch.float32) - if self.normalize: - eps = 1e-6 - # if os.environ.get("SHILONG_AMP", None) == '1': - # eps = 1e-4 - # else: - # eps = 1e-6 - y_embed = y_embed / (y_embed[:, -1:, :] + eps) * self.scale - x_embed = x_embed / (x_embed[:, :, -1:] + eps) * self.scale - - dim_t = torch.arange(self.num_pos_feats, dtype=torch.float32, device=x.device) - dim_t = self.temperature ** (2 * (dim_t // 2) / self.num_pos_feats) - - pos_x = x_embed[:, :, :, None] / dim_t - pos_y = y_embed[:, :, :, None] / dim_t - pos_x = torch.stack( - (pos_x[:, :, :, 0::2].sin(), pos_x[:, :, :, 1::2].cos()), dim=4 - ).flatten(3) - pos_y = torch.stack( - (pos_y[:, :, :, 0::2].sin(), pos_y[:, :, :, 1::2].cos()), dim=4 - ).flatten(3) - pos = torch.cat((pos_y, pos_x), dim=3).permute(0, 3, 1, 2) - return pos - - -class PositionEmbeddingSineHW(nn.Module): - """ - This is a more standard version of the position embedding, very similar to the one - used by the Attention is all you need paper, generalized to work on images. - """ - - def __init__( - self, num_pos_feats=64, temperatureH=10000, temperatureW=10000, normalize=False, scale=None - ): - super().__init__() - self.num_pos_feats = num_pos_feats - self.temperatureH = temperatureH - self.temperatureW = temperatureW - self.normalize = normalize - if scale is not None and normalize is False: - raise ValueError("normalize should be True if scale is passed") - if scale is None: - scale = 2 * math.pi - self.scale = scale - - def forward(self, tensor_list: NestedTensor): - x = tensor_list.tensors - mask = tensor_list.mask - assert mask is not None - not_mask = ~mask - y_embed = not_mask.cumsum(1, dtype=torch.float32) - x_embed = not_mask.cumsum(2, dtype=torch.float32) - - # import ipdb; ipdb.set_trace() - - if self.normalize: - eps = 1e-6 - y_embed = y_embed / (y_embed[:, -1:, :] + eps) * self.scale - x_embed = x_embed / (x_embed[:, :, -1:] + eps) * self.scale - - dim_tx = torch.arange(self.num_pos_feats, dtype=torch.float32, device=x.device) - dim_tx = self.temperatureW ** (2 * (torch.div(dim_tx, 2, rounding_mode='floor')) / self.num_pos_feats) - pos_x = x_embed[:, :, :, None] / dim_tx - - dim_ty = torch.arange(self.num_pos_feats, dtype=torch.float32, device=x.device) - dim_ty = self.temperatureH ** (2 * (torch.div(dim_ty, 2, rounding_mode='floor')) / self.num_pos_feats) - pos_y = y_embed[:, :, :, None] / dim_ty - - pos_x = torch.stack( - (pos_x[:, :, :, 0::2].sin(), pos_x[:, :, :, 1::2].cos()), dim=4 - ).flatten(3) - pos_y = torch.stack( - (pos_y[:, :, :, 0::2].sin(), pos_y[:, :, :, 1::2].cos()), dim=4 - ).flatten(3) - pos = torch.cat((pos_y, pos_x), dim=3).permute(0, 3, 1, 2) - - # import ipdb; ipdb.set_trace() - - return pos - - -class PositionEmbeddingLearned(nn.Module): - """ - Absolute pos embedding, learned. - """ - - def __init__(self, num_pos_feats=256): - super().__init__() - self.row_embed = nn.Embedding(50, num_pos_feats) - self.col_embed = nn.Embedding(50, num_pos_feats) - self.reset_parameters() - - def reset_parameters(self): - nn.init.uniform_(self.row_embed.weight) - nn.init.uniform_(self.col_embed.weight) - - def forward(self, tensor_list: NestedTensor): - x = tensor_list.tensors - h, w = x.shape[-2:] - i = torch.arange(w, device=x.device) - j = torch.arange(h, device=x.device) - x_emb = self.col_embed(i) - y_emb = self.row_embed(j) - pos = ( - torch.cat( - [ - x_emb.unsqueeze(0).repeat(h, 1, 1), - y_emb.unsqueeze(1).repeat(1, w, 1), - ], - dim=-1, - ) - .permute(2, 0, 1) - .unsqueeze(0) - .repeat(x.shape[0], 1, 1, 1) - ) - return pos - - -def build_position_encoding(args): - N_steps = args.hidden_dim // 2 - if args.position_embedding in ("v2", "sine"): - # TODO find a better way of exposing other arguments - position_embedding = PositionEmbeddingSineHW( - N_steps, - temperatureH=args.pe_temperatureH, - temperatureW=args.pe_temperatureW, - normalize=True, - ) - elif args.position_embedding in ("v3", "learned"): - position_embedding = PositionEmbeddingLearned(N_steps) - else: - raise ValueError(f"not supported {args.position_embedding}") - - return position_embedding diff --git a/spaces/Ataturk-Chatbot/HuggingFaceChat/venv/lib/python3.11/site-packages/setuptools/build_meta.py b/spaces/Ataturk-Chatbot/HuggingFaceChat/venv/lib/python3.11/site-packages/setuptools/build_meta.py deleted file mode 100644 index e8f1c72d598d6d5a03b75f68a6d567b1d6b1e9a2..0000000000000000000000000000000000000000 --- a/spaces/Ataturk-Chatbot/HuggingFaceChat/venv/lib/python3.11/site-packages/setuptools/build_meta.py +++ /dev/null @@ -1,511 +0,0 @@ -"""A PEP 517 interface to setuptools - -Previously, when a user or a command line tool (let's call it a "frontend") -needed to make a request of setuptools to take a certain action, for -example, generating a list of installation requirements, the frontend would -would call "setup.py egg_info" or "setup.py bdist_wheel" on the command line. - -PEP 517 defines a different method of interfacing with setuptools. Rather -than calling "setup.py" directly, the frontend should: - - 1. Set the current directory to the directory with a setup.py file - 2. Import this module into a safe python interpreter (one in which - setuptools can potentially set global variables or crash hard). - 3. Call one of the functions defined in PEP 517. - -What each function does is defined in PEP 517. However, here is a "casual" -definition of the functions (this definition should not be relied on for -bug reports or API stability): - - - `build_wheel`: build a wheel in the folder and return the basename - - `get_requires_for_build_wheel`: get the `setup_requires` to build - - `prepare_metadata_for_build_wheel`: get the `install_requires` - - `build_sdist`: build an sdist in the folder and return the basename - - `get_requires_for_build_sdist`: get the `setup_requires` to build - -Again, this is not a formal definition! Just a "taste" of the module. -""" - -import io -import os -import shlex -import sys -import tokenize -import shutil -import contextlib -import tempfile -import warnings -from pathlib import Path -from typing import Dict, Iterator, List, Optional, Union - -import setuptools -import distutils -from . import errors -from ._path import same_path -from ._reqs import parse_strings -from ._deprecation_warning import SetuptoolsDeprecationWarning -from distutils.util import strtobool - - -__all__ = ['get_requires_for_build_sdist', - 'get_requires_for_build_wheel', - 'prepare_metadata_for_build_wheel', - 'build_wheel', - 'build_sdist', - 'get_requires_for_build_editable', - 'prepare_metadata_for_build_editable', - 'build_editable', - '__legacy__', - 'SetupRequirementsError'] - -SETUPTOOLS_ENABLE_FEATURES = os.getenv("SETUPTOOLS_ENABLE_FEATURES", "").lower() -LEGACY_EDITABLE = "legacy-editable" in SETUPTOOLS_ENABLE_FEATURES.replace("_", "-") - - -class SetupRequirementsError(BaseException): - def __init__(self, specifiers): - self.specifiers = specifiers - - -class Distribution(setuptools.dist.Distribution): - def fetch_build_eggs(self, specifiers): - specifier_list = list(parse_strings(specifiers)) - - raise SetupRequirementsError(specifier_list) - - @classmethod - @contextlib.contextmanager - def patch(cls): - """ - Replace - distutils.dist.Distribution with this class - for the duration of this context. - """ - orig = distutils.core.Distribution - distutils.core.Distribution = cls - try: - yield - finally: - distutils.core.Distribution = orig - - -@contextlib.contextmanager -def no_install_setup_requires(): - """Temporarily disable installing setup_requires - - Under PEP 517, the backend reports build dependencies to the frontend, - and the frontend is responsible for ensuring they're installed. - So setuptools (acting as a backend) should not try to install them. - """ - orig = setuptools._install_setup_requires - setuptools._install_setup_requires = lambda attrs: None - try: - yield - finally: - setuptools._install_setup_requires = orig - - -def _get_immediate_subdirectories(a_dir): - return [name for name in os.listdir(a_dir) - if os.path.isdir(os.path.join(a_dir, name))] - - -def _file_with_extension(directory, extension): - matching = ( - f for f in os.listdir(directory) - if f.endswith(extension) - ) - try: - file, = matching - except ValueError: - raise ValueError( - 'No distribution was found. Ensure that `setup.py` ' - 'is not empty and that it calls `setup()`.') - return file - - -def _open_setup_script(setup_script): - if not os.path.exists(setup_script): - # Supply a default setup.py - return io.StringIO(u"from setuptools import setup; setup()") - - return getattr(tokenize, 'open', open)(setup_script) - - -@contextlib.contextmanager -def suppress_known_deprecation(): - with warnings.catch_warnings(): - warnings.filterwarnings('ignore', 'setup.py install is deprecated') - yield - - -_ConfigSettings = Optional[Dict[str, Union[str, List[str], None]]] -""" -Currently the user can run:: - - pip install -e . --config-settings key=value - python -m build -C--key=value -C key=value - -- pip will pass both key and value as strings and overwriting repeated keys - (pypa/pip#11059). -- build will accumulate values associated with repeated keys in a list. - It will also accept keys with no associated value. - This means that an option passed by build can be ``str | list[str] | None``. -- PEP 517 specifies that ``config_settings`` is an optional dict. -""" - - -class _ConfigSettingsTranslator: - """Translate ``config_settings`` into distutils-style command arguments. - Only a limited number of options is currently supported. - """ - # See pypa/setuptools#1928 pypa/setuptools#2491 - - def _get_config(self, key: str, config_settings: _ConfigSettings) -> List[str]: - """ - Get the value of a specific key in ``config_settings`` as a list of strings. - - >>> fn = _ConfigSettingsTranslator()._get_config - >>> fn("--global-option", None) - [] - >>> fn("--global-option", {}) - [] - >>> fn("--global-option", {'--global-option': 'foo'}) - ['foo'] - >>> fn("--global-option", {'--global-option': ['foo']}) - ['foo'] - >>> fn("--global-option", {'--global-option': 'foo'}) - ['foo'] - >>> fn("--global-option", {'--global-option': 'foo bar'}) - ['foo', 'bar'] - """ - cfg = config_settings or {} - opts = cfg.get(key) or [] - return shlex.split(opts) if isinstance(opts, str) else opts - - def _valid_global_options(self): - """Global options accepted by setuptools (e.g. quiet or verbose).""" - options = (opt[:2] for opt in setuptools.dist.Distribution.global_options) - return {flag for long_and_short in options for flag in long_and_short if flag} - - def _global_args(self, config_settings: _ConfigSettings) -> Iterator[str]: - """ - Let the user specify ``verbose`` or ``quiet`` + escape hatch via - ``--global-option``. - Note: ``-v``, ``-vv``, ``-vvv`` have similar effects in setuptools, - so we just have to cover the basic scenario ``-v``. - - >>> fn = _ConfigSettingsTranslator()._global_args - >>> list(fn(None)) - [] - >>> list(fn({"verbose": "False"})) - ['-q'] - >>> list(fn({"verbose": "1"})) - ['-v'] - >>> list(fn({"--verbose": None})) - ['-v'] - >>> list(fn({"verbose": "true", "--global-option": "-q --no-user-cfg"})) - ['-v', '-q', '--no-user-cfg'] - >>> list(fn({"--quiet": None})) - ['-q'] - """ - cfg = config_settings or {} - falsey = {"false", "no", "0", "off"} - if "verbose" in cfg or "--verbose" in cfg: - level = str(cfg.get("verbose") or cfg.get("--verbose") or "1") - yield ("-q" if level.lower() in falsey else "-v") - if "quiet" in cfg or "--quiet" in cfg: - level = str(cfg.get("quiet") or cfg.get("--quiet") or "1") - yield ("-v" if level.lower() in falsey else "-q") - - valid = self._valid_global_options() - args = self._get_config("--global-option", config_settings) - yield from (arg for arg in args if arg.strip("-") in valid) - - def __dist_info_args(self, config_settings: _ConfigSettings) -> Iterator[str]: - """ - The ``dist_info`` command accepts ``tag-date`` and ``tag-build``. - - .. warning:: - We cannot use this yet as it requires the ``sdist`` and ``bdist_wheel`` - commands run in ``build_sdist`` and ``build_wheel`` to re-use the egg-info - directory created in ``prepare_metadata_for_build_wheel``. - - >>> fn = _ConfigSettingsTranslator()._ConfigSettingsTranslator__dist_info_args - >>> list(fn(None)) - [] - >>> list(fn({"tag-date": "False"})) - ['--no-date'] - >>> list(fn({"tag-date": None})) - ['--no-date'] - >>> list(fn({"tag-date": "true", "tag-build": ".a"})) - ['--tag-date', '--tag-build', '.a'] - """ - cfg = config_settings or {} - if "tag-date" in cfg: - val = strtobool(str(cfg["tag-date"] or "false")) - yield ("--tag-date" if val else "--no-date") - if "tag-build" in cfg: - yield from ["--tag-build", str(cfg["tag-build"])] - - def _editable_args(self, config_settings: _ConfigSettings) -> Iterator[str]: - """ - The ``editable_wheel`` command accepts ``editable-mode=strict``. - - >>> fn = _ConfigSettingsTranslator()._editable_args - >>> list(fn(None)) - [] - >>> list(fn({"editable-mode": "strict"})) - ['--mode', 'strict'] - """ - cfg = config_settings or {} - mode = cfg.get("editable-mode") or cfg.get("editable_mode") - if not mode: - return - yield from ["--mode", str(mode)] - - def _arbitrary_args(self, config_settings: _ConfigSettings) -> Iterator[str]: - """ - Users may expect to pass arbitrary lists of arguments to a command - via "--global-option" (example provided in PEP 517 of a "escape hatch"). - - >>> fn = _ConfigSettingsTranslator()._arbitrary_args - >>> list(fn(None)) - [] - >>> list(fn({})) - [] - >>> list(fn({'--build-option': 'foo'})) - ['foo'] - >>> list(fn({'--build-option': ['foo']})) - ['foo'] - >>> list(fn({'--build-option': 'foo'})) - ['foo'] - >>> list(fn({'--build-option': 'foo bar'})) - ['foo', 'bar'] - >>> warnings.simplefilter('error', SetuptoolsDeprecationWarning) - >>> list(fn({'--global-option': 'foo'})) # doctest: +IGNORE_EXCEPTION_DETAIL - Traceback (most recent call last): - SetuptoolsDeprecationWarning: ...arguments given via `--global-option`... - """ - args = self._get_config("--global-option", config_settings) - global_opts = self._valid_global_options() - bad_args = [] - - for arg in args: - if arg.strip("-") not in global_opts: - bad_args.append(arg) - yield arg - - yield from self._get_config("--build-option", config_settings) - - if bad_args: - msg = f""" - The arguments {bad_args!r} were given via `--global-option`. - Please use `--build-option` instead, - `--global-option` is reserved to flags like `--verbose` or `--quiet`. - """ - warnings.warn(msg, SetuptoolsDeprecationWarning) - - -class _BuildMetaBackend(_ConfigSettingsTranslator): - def _get_build_requires(self, config_settings, requirements): - sys.argv = [ - *sys.argv[:1], - *self._global_args(config_settings), - "egg_info", - *self._arbitrary_args(config_settings), - ] - try: - with Distribution.patch(): - self.run_setup() - except SetupRequirementsError as e: - requirements += e.specifiers - - return requirements - - def run_setup(self, setup_script='setup.py'): - # Note that we can reuse our build directory between calls - # Correctness comes first, then optimization later - __file__ = setup_script - __name__ = '__main__' - - with _open_setup_script(__file__) as f: - code = f.read().replace(r'\r\n', r'\n') - - exec(code, locals()) - - def get_requires_for_build_wheel(self, config_settings=None): - return self._get_build_requires(config_settings, requirements=['wheel']) - - def get_requires_for_build_sdist(self, config_settings=None): - return self._get_build_requires(config_settings, requirements=[]) - - def _bubble_up_info_directory(self, metadata_directory: str, suffix: str) -> str: - """ - PEP 517 requires that the .dist-info directory be placed in the - metadata_directory. To comply, we MUST copy the directory to the root. - - Returns the basename of the info directory, e.g. `proj-0.0.0.dist-info`. - """ - info_dir = self._find_info_directory(metadata_directory, suffix) - if not same_path(info_dir.parent, metadata_directory): - shutil.move(str(info_dir), metadata_directory) - # PEP 517 allow other files and dirs to exist in metadata_directory - return info_dir.name - - def _find_info_directory(self, metadata_directory: str, suffix: str) -> Path: - for parent, dirs, _ in os.walk(metadata_directory): - candidates = [f for f in dirs if f.endswith(suffix)] - - if len(candidates) != 0 or len(dirs) != 1: - assert len(candidates) == 1, f"Multiple {suffix} directories found" - return Path(parent, candidates[0]) - - msg = f"No {suffix} directory found in {metadata_directory}" - raise errors.InternalError(msg) - - def prepare_metadata_for_build_wheel(self, metadata_directory, - config_settings=None): - sys.argv = [ - *sys.argv[:1], - *self._global_args(config_settings), - "dist_info", - "--output-dir", metadata_directory, - "--keep-egg-info", - ] - with no_install_setup_requires(): - self.run_setup() - - self._bubble_up_info_directory(metadata_directory, ".egg-info") - return self._bubble_up_info_directory(metadata_directory, ".dist-info") - - def _build_with_temp_dir(self, setup_command, result_extension, - result_directory, config_settings): - result_directory = os.path.abspath(result_directory) - - # Build in a temporary directory, then copy to the target. - os.makedirs(result_directory, exist_ok=True) - with tempfile.TemporaryDirectory(dir=result_directory) as tmp_dist_dir: - sys.argv = [ - *sys.argv[:1], - *self._global_args(config_settings), - *setup_command, - "--dist-dir", tmp_dist_dir, - *self._arbitrary_args(config_settings), - ] - with no_install_setup_requires(): - self.run_setup() - - result_basename = _file_with_extension( - tmp_dist_dir, result_extension) - result_path = os.path.join(result_directory, result_basename) - if os.path.exists(result_path): - # os.rename will fail overwriting on non-Unix. - os.remove(result_path) - os.rename(os.path.join(tmp_dist_dir, result_basename), result_path) - - return result_basename - - def build_wheel(self, wheel_directory, config_settings=None, - metadata_directory=None): - with suppress_known_deprecation(): - return self._build_with_temp_dir(['bdist_wheel'], '.whl', - wheel_directory, config_settings) - - def build_sdist(self, sdist_directory, config_settings=None): - return self._build_with_temp_dir(['sdist', '--formats', 'gztar'], - '.tar.gz', sdist_directory, - config_settings) - - def _get_dist_info_dir(self, metadata_directory: Optional[str]) -> Optional[str]: - if not metadata_directory: - return None - dist_info_candidates = list(Path(metadata_directory).glob("*.dist-info")) - assert len(dist_info_candidates) <= 1 - return str(dist_info_candidates[0]) if dist_info_candidates else None - - if not LEGACY_EDITABLE: - - # PEP660 hooks: - # build_editable - # get_requires_for_build_editable - # prepare_metadata_for_build_editable - def build_editable( - self, wheel_directory, config_settings=None, metadata_directory=None - ): - # XXX can or should we hide our editable_wheel command normally? - info_dir = self._get_dist_info_dir(metadata_directory) - opts = ["--dist-info-dir", info_dir] if info_dir else [] - cmd = ["editable_wheel", *opts, *self._editable_args(config_settings)] - with suppress_known_deprecation(): - return self._build_with_temp_dir( - cmd, ".whl", wheel_directory, config_settings - ) - - def get_requires_for_build_editable(self, config_settings=None): - return self.get_requires_for_build_wheel(config_settings) - - def prepare_metadata_for_build_editable(self, metadata_directory, - config_settings=None): - return self.prepare_metadata_for_build_wheel( - metadata_directory, config_settings - ) - - -class _BuildMetaLegacyBackend(_BuildMetaBackend): - """Compatibility backend for setuptools - - This is a version of setuptools.build_meta that endeavors - to maintain backwards - compatibility with pre-PEP 517 modes of invocation. It - exists as a temporary - bridge between the old packaging mechanism and the new - packaging mechanism, - and will eventually be removed. - """ - def run_setup(self, setup_script='setup.py'): - # In order to maintain compatibility with scripts assuming that - # the setup.py script is in a directory on the PYTHONPATH, inject - # '' into sys.path. (pypa/setuptools#1642) - sys_path = list(sys.path) # Save the original path - - script_dir = os.path.dirname(os.path.abspath(setup_script)) - if script_dir not in sys.path: - sys.path.insert(0, script_dir) - - # Some setup.py scripts (e.g. in pygame and numpy) use sys.argv[0] to - # get the directory of the source code. They expect it to refer to the - # setup.py script. - sys_argv_0 = sys.argv[0] - sys.argv[0] = setup_script - - try: - super(_BuildMetaLegacyBackend, - self).run_setup(setup_script=setup_script) - finally: - # While PEP 517 frontends should be calling each hook in a fresh - # subprocess according to the standard (and thus it should not be - # strictly necessary to restore the old sys.path), we'll restore - # the original path so that the path manipulation does not persist - # within the hook after run_setup is called. - sys.path[:] = sys_path - sys.argv[0] = sys_argv_0 - - -# The primary backend -_BACKEND = _BuildMetaBackend() - -get_requires_for_build_wheel = _BACKEND.get_requires_for_build_wheel -get_requires_for_build_sdist = _BACKEND.get_requires_for_build_sdist -prepare_metadata_for_build_wheel = _BACKEND.prepare_metadata_for_build_wheel -build_wheel = _BACKEND.build_wheel -build_sdist = _BACKEND.build_sdist - -if not LEGACY_EDITABLE: - get_requires_for_build_editable = _BACKEND.get_requires_for_build_editable - prepare_metadata_for_build_editable = _BACKEND.prepare_metadata_for_build_editable - build_editable = _BACKEND.build_editable - - -# The legacy backend -__legacy__ = _BuildMetaLegacyBackend() diff --git a/spaces/Awiny/Image2Paragraph/models/grit_src/third_party/CenterNet2/detectron2/modeling/backbone/__init__.py b/spaces/Awiny/Image2Paragraph/models/grit_src/third_party/CenterNet2/detectron2/modeling/backbone/__init__.py deleted file mode 100644 index 55b265d5fa574ed2a3c3c7c97850ec9b3fa5fede..0000000000000000000000000000000000000000 --- a/spaces/Awiny/Image2Paragraph/models/grit_src/third_party/CenterNet2/detectron2/modeling/backbone/__init__.py +++ /dev/null @@ -1,17 +0,0 @@ -# Copyright (c) Facebook, Inc. and its affiliates. -from .build import build_backbone, BACKBONE_REGISTRY # noqa F401 isort:skip - -from .backbone import Backbone -from .fpn import FPN -from .regnet import RegNet -from .resnet import ( - BasicStem, - ResNet, - ResNetBlockBase, - build_resnet_backbone, - make_stage, - BottleneckBlock, -) - -__all__ = [k for k in globals().keys() if not k.startswith("_")] -# TODO can expose more resnet blocks after careful consideration diff --git a/spaces/Benson/text-generation/Examples/8 Bola Piscina 5.12.0 Apk Descargar.md b/spaces/Benson/text-generation/Examples/8 Bola Piscina 5.12.0 Apk Descargar.md deleted file mode 100644 index 6656e8d1a3cc28f1b6c84950981c0e3dc0200457..0000000000000000000000000000000000000000 --- a/spaces/Benson/text-generation/Examples/8 Bola Piscina 5.12.0 Apk Descargar.md +++ /dev/null @@ -1,109 +0,0 @@ -
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En este artículo, te diremos todo lo que necesitas saber sobre 8 Ball Pool 5.12.0 APK, la última versión del juego que fue lanzado el 20 de junio de 2023. Te mostraremos cómo descargarlo e instalarlo en tu dispositivo Android, cómo jugarlo online o offline, y cómo mejorar tus habilidades y ganar más partidos con algunos consejos y trucos.

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¿Qué es la piscina de bolas 8?

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Una breve introducción al juego y sus características

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8 Ball Pool es un juego de billar basado en física de billar 3D real, donde puedes jugar contra tus amigos u otros jugadores en línea en diferentes modos, como partidos 1-a-1, torneos o minijuegos. También puede jugar sin conexión en el modo de práctica o contra el ordenador.

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El juego tiene un sistema de niveles que te empareja con jugadores de nivel de habilidad similar, y un sistema de clasificación que muestra tu progreso en la clasificación global. También puede unirse a clubes y chatear con otros miembros, o crear su propio club e invitar a sus amigos.

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El juego tiene una variedad de pistas y mesas que se puede desbloquear o comprar con monedas o dinero en efectivo, las monedas del juego. También puede obtener monedas o dinero en efectivo girando la rueda, viendo videos, completando ofertas o comprándolas con dinero real. Las monedas y el dinero en efectivo se pueden usar para ingresar partidas de apuestas más altas, comprar artículos en la tienda de la piscina o actualizar sus señales.

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La última versión 5.12.0 y lo nuevo en ella

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  • Una nueva temporada con nuevas recompensas y desafíos
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  • Una nueva función que te permite jugar por el cambio y donar a la Global Gift Foundation
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  • Algunos ajustes y correcciones de errores que hacen el juego más suave y más estable
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Para disfrutar de estas nuevas características, es necesario descargar e instalar la última versión de 8 Ball Pool en su dispositivo Android.

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Cómo descargar e instalar 8 bola piscina 5.12.0 APK en su dispositivo Android

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Los pasos para descargar e instalar el archivo APK desde una fuente de confianza

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Si desea descargar e instalar 8 Ball Pool 5.12.0 APK en su dispositivo Android, es necesario seguir estos pasos:

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  1. Ir a un sitio web de confianza que proporciona archivos APK para aplicaciones de Android, tales como [Soft onic] o [APKPure].
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  3. Búsqueda de 8 Ball Pool 5.12.0 APK y descargarlo en su dispositivo. Asegúrese de que el tamaño del archivo es de aproximadamente 75 MB y el nombre del archivo es com.miniclip.eightballpool_5.12.0-2410_minAPI16(armeabi-v7a,x86)(nodpi)_apkmirror.com.apk.
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  5. Antes de instalar el archivo APK, es necesario habilitar la instalación de aplicaciones de fuentes desconocidas en el dispositivo. Para hacer esto, vaya a Configuración > Seguridad > Fuentes desconocidas y conéctelo.
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  7. Busque el archivo APK descargado en su dispositivo y toque en él para iniciar el proceso de instalación. Siga las instrucciones de la pantalla y espere a que termine la instalación.
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  9. Una vez que se realiza la instalación, puede iniciar el juego desde el cajón de la aplicación o la pantalla de inicio y disfrutar de jugar 8 Ball Pool 5.12.0 APK en su dispositivo Android.
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Los permisos y requisitos para la aplicación

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Antes de instalar 8 Ball Pool 5.12.0 APK en su dispositivo Android, usted debe ser consciente de los permisos y requisitos para la aplicación. La aplicación requiere los siguientes permisos:

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  • Acceso al almacenamiento, cámara, micrófono y ubicación de su dispositivo
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  • Acceso a las conexiones de red de su dispositivo, conexiones Wi-Fi y configuración de Bluetooth
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  • Acceso a la vibración de su dispositivo y evitar que duerma
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La aplicación también requiere los siguientes requisitos:

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  • Un dispositivo Android con Android 4.4 o superior
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  • Una conexión a Internet (Wi-Fi o datos móviles)
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  • Una cuenta de Google para iniciar sesión y sincronizar tu progreso
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  • Una cuenta de Facebook para conectar con tus amigos y retarlos
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Debes conceder estos permisos y cumplir con estos requisitos para asegurar el correcto funcionamiento de la aplicación y disfrutar de sus características.

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Cómo jugar al billar de 8 bolas en línea o fuera de línea

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Las reglas y objetivos básicos del juego

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Las reglas y objetivos básicos de 8 Ball Pool son similares a los de los juegos de billar reales. El juego se juega en una mesa de billar con seis bolsillos, una bola blanca y 15 bolas de objetos (siete bolas de color sólido, siete bolas a rayas y una bola negra).

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El juego comienza con un tiro de ruptura, donde un jugador golpea la bola blanca con un palo de taco e intenta dispersar las bolas de objeto en la mesa. El jugador que embolsa una pelota en el tiro de descanso puede optar por jugar ya sea sólidos o rayas, dependiendo del tipo de pelota que embolsó. El otro jugador tiene que jugar el tipo opuesto.

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El objetivo del juego es meter todas tus bolas (ya sean sólidas o rayas) antes que tu oponente, y luego meter la bola negra (también conocida como la bola 8) en un bolsillo designado. Tienes que llamar al bolsillo por cada tiro que haces, excepto por el tiro de ruptura. Si te embolsas una pelota en un bolsillo diferente al que pagaste, o si te embolsas la pelota de tu oponente o la bola blanca, es una falta y pierdes tu turno.

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También puedes perder el juego si cometes cualquiera de estas faltas:

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  • Embolsar la bola 8 antes de limpiar sus bolas
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  • Embolsar la bola 8 en un bolsillo diferente al que llamaste
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  • Embolsar la bola 8 y la bola blanca en el mismo tiro
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El juego termina cuando un jugador se embolsa la bola 8 legalmente o cuando un jugador pierde o se desconecta del juego.

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Los diferentes modos, tablas, señales y elementos disponibles en el juego

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8 Ball Pool tiene diferentes modos que puedes jugar online o offline, como:

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  • 1-on-1 partidos: Puede jugar contra otro jugador en línea en un partido al azar o un partido de amigos. Puede elegir entre diferentes tablas con diferentes cuotas de entrada y recompensas. Cuanto mayor sea la cuota de entrada, mayor será la recompensa.
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  • Torneos: Puedes jugar contra otros siete jugadores en línea en un formato eliminatorio. Tienes que ganar cuatro partidos seguidos para ganar el torneo y obtener un gran premio.
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  • Minijuegos: Puedes jugar algunos minijuegos para ganar monedas, dinero, tacos u otros objetos. Algunos de los minijuegos son Spin & Win, Scratch & Win, Hi-Lo, Lucky Shot y Cajas sorpresa.
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  • Modo de práctica: Puedes jugar sin conexión contra la computadora o por ti mismo para practicar tus habilidades y probar diferentes disparos.
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El juego también tiene una variedad de pistas y mesas que puedes desbloquear o comprar con monedas o dinero en efectivo. Cada señal tiene diferentes atributos, como poder, puntería, efectos y tiempo. También puedes actualizar tus señales para mejorar sus atributos. Cada mesa tiene diferentes diseños, tamaños y reglas. También puede personalizar su mesa con diferentes telas, patrones y calcomanías.

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El juego también tiene una tienda de billar donde puedes comprar objetos como monedas, dinero en efectivo, tacos, mesas, paquetes de chat, avatares y señales de suerte. También puedes obtener algunos artículos gratis viendo videos, completando ofertas o invitando a amigos.

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Los consejos y trucos para mejorar tus habilidades y ganar más partidos

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Si quieres mejorar tus habilidades y ganar más partidos en 8 Ball Pool, debes seguir estos consejos y trucos:

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  • Planificar con antelación: El juego requiere estrategia y previsión. Debes planificar con anticipación y pensar en qué bolas quieres meter primero, qué bolsillos quieres usar y cómo quieres colocar la bola blanca para el siguiente tiro. También debes evitar dejar tiros fáciles para tu oponente o bloquear tus propias bolas.
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  • Usa spin: El juego te permite aplicar spin a la bola cue tocando el icono de spin y moviéndolo. Puede utilizar el giro para cambiar la dirección de la bola blanca después de que golpea una bola de objeto o un cojín. Puedes usar el giro para evitar rasguños, salir de situaciones difíciles o preparar mejores fotos.
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  • Practicar offline: El juego tiene un modo de práctica donde puedes jugar offline contra el ordenador o por ti mismo. Puede utilizar este modo para practicar sus habilidades y probar diferentes disparos sin arriesgar sus monedas o clasificación. También puede aprender de los movimientos y errores de la computadora.
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  • Ver vídeos: El juego tiene una sección de vídeo donde puedes ver vídeos de partidos o tutoriales de otros jugadores. Puedes usar estos videos para aprender de sus estrategias, técnicas y consejos. También puedes obtener algunas monedas u objetos viendo algunos videos.
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Conclusión

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Un resumen de los principales puntos y beneficios de jugar 8 Ball Pool 5.12.0 APK en su dispositivo Android

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Para resumir, 8 Ball Pool es un juego de billar que te permite jugar online o offline con millones de jugadores de diferentes países, competir en torneos, ganar monedas y artículos exclusivos, y personalizar tu señal y mesa. Se basa en la física real del pool 3D y tiene gráficos y sonidos realistas.

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Para jugar 8 Ball Pool 5.12.0 APK en su dispositivo Android, es necesario descargar e instalar desde un sitio web de confianza que proporciona archivos APK para aplicaciones Android. También debe habilitar la instalación de aplicaciones de fuentes desconocidas en su dispositivo, conceder los permisos y cumplir los requisitos para la aplicación, e iniciar sesión con su cuenta de Google o Facebook.

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Jugar 8 Ball Pool 5.12.0 APK en su dispositivo Android tiene muchos beneficios, tales como:

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  • Usted puede disfrutar de jugar al billar en cualquier momento y en cualquier lugar con su dispositivo Android
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  • Puedes desafiar a tus amigos u otros jugadores en línea en diferentes modos
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  • Puedes mejorar tus habilidades y posicionarte en la clasificación global
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  • Puedes desbloquear o comprar varias pistas y tablas que se adapten a tu estilo
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  • Puedes ganar monedas y artículos exclusivos que mejoran tu juego
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  • Usted puede divertirse y relajarse con una experiencia de piscina realista
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Una llamada a la acción para descargar y jugar el juego ahora

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Si usted está interesado en jugar 8 Ball Pool 5.12.0 APK en su dispositivo Android, ¿qué estás esperando? Descárgalo e instálalo desde un sitio web de confianza que proporciona archivos APK para aplicaciones de Android, como [Softonic] o [APKPure]. Siga los pasos que hemos proporcionado anteriormente y disfrutar de jugar el juego de billar más grande del mundo en su dispositivo Android. Usted no se arrepentirá, como 8 Ball Pool 5.12.0 APK es un juego que le mantendrá entretenido y desafiado durante horas. También tendrá la oportunidad de jugar por el cambio y donar a la Global Gift Foundation, una organización benéfica que apoya a niños y familias necesitadas de todo el mundo. Así que, ¿qué estás esperando? Descargar y jugar 8 Ball Pool 5.12.0 APK ahora y unirse a los millones de jugadores que aman este juego. Usted tendrá una explosión!

Preguntas frecuentes

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Algunas preguntas y respuestas comunes sobre el juego y el archivo APK

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Aquí hay algunas preguntas y respuestas comunes que usted podría tener acerca de 8 Piscina de bolas 5.12.0 APK:

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    - -

    Sí, 8 Ball Pool 5.12.0 APK es seguro para descargar e instalar, siempre y cuando lo obtenga de un sitio web de confianza que proporciona archivos APK para aplicaciones Android, como [Softonic] o [APKPure]. Estos sitios web escanean los archivos APK en busca de virus y malware antes de cargarlos, para que pueda estar seguro de que están limpios y seguros.

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  1. Es 8 bola piscina 5.12.0 APK libre para jugar?
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    Sí, 8 Ball Pool 5.12.0 APK es libre de jugar, pero también tiene algunas compras en la aplicación que se puede hacer con dinero real si desea obtener más monedas, dinero en efectivo, señales, o elementos en el juego. Sin embargo, estas compras son opcionales y no necesarias para disfrutar del juego.

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  3. ¿Puedo jugar 8 bola piscina 5.12.0 APK fuera de línea?
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    Sí, puede jugar 8 Ball Pool 5.12.0 APK fuera de línea en el modo de práctica o contra el ordenador, pero no podrá jugar en línea con otros jugadores o acceder a algunas características que requieren una conexión a Internet, como torneos, mini-juegos o clubes.

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  5. ¿Puedo jugar 8 bola piscina 5.12.0 APK en otros dispositivos?
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    Sí, puede jugar 8 Ball Pool 5.12.0 APK en otros dispositivos además de su dispositivo Android, como su PC, Mac, dispositivo iOS o teléfono de Windows. Solo tienes que descargar e instalar la versión apropiada del juego para tu dispositivo desde el sitio web oficial de Miniclip o la tienda de aplicaciones de tu dispositivo.

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  7. ¿Cómo puedo contactar al equipo de soporte de 8 Ball Pool?
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    Si tiene algún problema o pregunta sobre 8 Ball Pool, puede ponerse en contacto con el equipo de soporte de Miniclip llenando un formulario en su sitio web o enviando un correo electrónico a support@miniclip.com. También puede visitar su centro de ayuda o su página de Facebook para obtener más información y actualizaciones.

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\ No newline at end of file diff --git a/spaces/BetterAPI/BetterChat/vite.config.ts b/spaces/BetterAPI/BetterChat/vite.config.ts deleted file mode 100644 index 4a73fc2099065c273e7d95d2f2122538d0502b27..0000000000000000000000000000000000000000 --- a/spaces/BetterAPI/BetterChat/vite.config.ts +++ /dev/null @@ -1,12 +0,0 @@ -import { sveltekit } from "@sveltejs/kit/vite"; -import { defineConfig } from "vite"; -import Icons from "unplugin-icons/vite"; - -export default defineConfig({ - plugins: [ - sveltekit(), - Icons({ - compiler: "svelte", - }), - ], -}); diff --git a/spaces/Big-Web/MMSD/app.py b/spaces/Big-Web/MMSD/app.py deleted file mode 100644 index 2290ee038ed28a051c9c008ed198353d0b532fb8..0000000000000000000000000000000000000000 --- a/spaces/Big-Web/MMSD/app.py +++ /dev/null @@ -1,79 +0,0 @@ -import banana_dev as banana -import base64 -from io import BytesIO -from PIL import Image -import gradio as gr -import os -# import boto3 - -# model_key = os.environ.get("model_key") -# api_key = os.environ.get("api_key") -# aws_access_key_id = os.environ.get("aws_access_key_id") -# aws_secret_access_key = os.environ.get("aws_secret_access_key") - -# #Create a session using AWS credentials -# session = boto3.Session(aws_access_key_id, aws_secret_access_key) - -# #Create an S3 resource object using the session -# s3 = session.resource('s3') - -# #Select your bucket -# bucket = s3.Bucket('bwlmonet') - -model_inputs = { - "endpoint": "txt2img", - "params": { - "prompt": "", - "negative_prompt": "", - "steps": 25, - "sampler_name": "Euler a", - "cfg_scale": 7.5, - "seed": 42, - "batch_size": 1, - "n_iter": 1, - "width": 768, - "height": 768, - "tiling": False - } -} - -# for obj in bucket.objects.all(): -# print(obj.key) - -def stable_diffusion_txt2img(prompt, api_key, model_key, model_inputs): - # Update the model_inputs with the provided prompt - model_inputs["params"]["prompt"] = prompt - - # Run the model - out = banana.run(api_key, model_key, model_inputs) - - # Process the output - image_byte_string = out["modelOutputs"][0]["images"] - image_encoded = image_byte_string[0].encode("utf-8") - image_bytes = BytesIO(base64.b64decode(image_encoded)) - image = Image.open(image_bytes) - - # Save image to S3 - # key = f"{prompt}.png" - # image.save(key) - # with open(key, "rb") as data: - # bucket.put_object(Key=key, Body=data) - - # for obj in bucket.objects.all(): - # print(obj.key) - - return image - -# Gradio Interface -def generator(prompt): - return stable_diffusion_txt2img(prompt, api_key, model_key, model_inputs), stable_diffusion_txt2img(prompt, api_key, model_key, model_inputs) - -with gr.Blocks() as demo: - prompt = gr.Textbox(label="Prompt") - submit = gr.Button(label="Generate") - image1 = gr.Image() - image2 = gr.Image() - - submit.click(generator, inputs=[prompt], outputs=[image1, image2], api_name="mmsd") - -demo.launch() diff --git a/spaces/Big-Web/MMSD/env/Lib/site-packages/boto3/__init__.py b/spaces/Big-Web/MMSD/env/Lib/site-packages/boto3/__init__.py deleted file mode 100644 index 85c442e18b477b2a7f30941a39b94c9c0254bcbc..0000000000000000000000000000000000000000 --- a/spaces/Big-Web/MMSD/env/Lib/site-packages/boto3/__init__.py +++ /dev/null @@ -1,111 +0,0 @@ -# Copyright 2014 Amazon.com, Inc. or its affiliates. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"). You -# may not use this file except in compliance with the License. A copy of -# the License is located at -# -# https://aws.amazon.com/apache2.0/ -# -# or in the "license" file accompanying this file. This file is -# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF -# ANY KIND, either express or implied. See the License for the specific -# language governing permissions and limitations under the License. - -import logging - -from boto3.compat import _warn_deprecated_python -from boto3.session import Session - -__author__ = 'Amazon Web Services' -__version__ = '1.26.132' - - -# The default Boto3 session; autoloaded when needed. -DEFAULT_SESSION = None - - -def setup_default_session(**kwargs): - """ - Set up a default session, passing through any parameters to the session - constructor. There is no need to call this unless you wish to pass custom - parameters, because a default session will be created for you. - """ - global DEFAULT_SESSION - DEFAULT_SESSION = Session(**kwargs) - - -def set_stream_logger(name='boto3', level=logging.DEBUG, format_string=None): - """ - Add a stream handler for the given name and level to the logging module. - By default, this logs all boto3 messages to ``stdout``. - - >>> import boto3 - >>> boto3.set_stream_logger('boto3.resources', logging.INFO) - - For debugging purposes a good choice is to set the stream logger to ``''`` - which is equivalent to saying "log everything". - - .. WARNING:: - Be aware that when logging anything from ``'botocore'`` the full wire - trace will appear in your logs. If your payloads contain sensitive data - this should not be used in production. - - :type name: string - :param name: Log name - :type level: int - :param level: Logging level, e.g. ``logging.INFO`` - :type format_string: str - :param format_string: Log message format - """ - if format_string is None: - format_string = "%(asctime)s %(name)s [%(levelname)s] %(message)s" - - logger = logging.getLogger(name) - logger.setLevel(level) - handler = logging.StreamHandler() - handler.setLevel(level) - formatter = logging.Formatter(format_string) - handler.setFormatter(formatter) - logger.addHandler(handler) - - -def _get_default_session(): - """ - Get the default session, creating one if needed. - - :rtype: :py:class:`~boto3.session.Session` - :return: The default session - """ - if DEFAULT_SESSION is None: - setup_default_session() - _warn_deprecated_python() - - return DEFAULT_SESSION - - -def client(*args, **kwargs): - """ - Create a low-level service client by name using the default session. - - See :py:meth:`boto3.session.Session.client`. - """ - return _get_default_session().client(*args, **kwargs) - - -def resource(*args, **kwargs): - """ - Create a resource service client by name using the default session. - - See :py:meth:`boto3.session.Session.resource`. - """ - return _get_default_session().resource(*args, **kwargs) - - -# Set up logging to ``/dev/null`` like a library is supposed to. -# https://docs.python.org/3.3/howto/logging.html#configuring-logging-for-a-library -class NullHandler(logging.Handler): - def emit(self, record): - pass - - -logging.getLogger('boto3').addHandler(NullHandler()) diff --git a/spaces/CShorten/Last-Week-on-ArXiv/README.md b/spaces/CShorten/Last-Week-on-ArXiv/README.md deleted file mode 100644 index f9a0fd62f5f00d9dd0f59a6278da59a5920b3456..0000000000000000000000000000000000000000 --- a/spaces/CShorten/Last-Week-on-ArXiv/README.md +++ /dev/null @@ -1,13 +0,0 @@ ---- -title: Last Week On ArXiv -emoji: 🐢 -colorFrom: yellow -colorTo: blue -sdk: gradio -sdk_version: 3.0.9 -app_file: app.py -pinned: false -license: afl-3.0 ---- - -Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference diff --git a/spaces/CVPR/BigDL-Nano_inference/README.md b/spaces/CVPR/BigDL-Nano_inference/README.md deleted file mode 100644 index 7350cc87c9119547aab54d3f2137604bed7733a0..0000000000000000000000000000000000000000 --- a/spaces/CVPR/BigDL-Nano_inference/README.md +++ /dev/null @@ -1,12 +0,0 @@ ---- -title: BigDL-Nano Inference Demo -emoji: 🦄 -colorFrom: yellow -colorTo: green -sdk: gradio -sdk_version: 3.0.13 -app_file: app.py -pinned: false ---- - -Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference diff --git a/spaces/CVPR/Dual-Key_Backdoor_Attacks/datagen/detectron2/tests/test_rpn.py b/spaces/CVPR/Dual-Key_Backdoor_Attacks/datagen/detectron2/tests/test_rpn.py deleted file mode 100644 index 7aad7c1e582407494daa1b98c5e9253f989ed691..0000000000000000000000000000000000000000 --- a/spaces/CVPR/Dual-Key_Backdoor_Attacks/datagen/detectron2/tests/test_rpn.py +++ /dev/null @@ -1,228 +0,0 @@ -# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved -import logging -import unittest -import torch - -from detectron2.config import get_cfg -from detectron2.modeling.backbone import build_backbone -from detectron2.modeling.proposal_generator.build import build_proposal_generator -from detectron2.modeling.proposal_generator.rpn_outputs import find_top_rpn_proposals -from detectron2.structures import Boxes, ImageList, Instances, RotatedBoxes -from detectron2.utils.events import EventStorage - -logger = logging.getLogger(__name__) - - -class RPNTest(unittest.TestCase): - def test_rpn(self): - torch.manual_seed(121) - cfg = get_cfg() - cfg.MODEL.PROPOSAL_GENERATOR.NAME = "RPN" - cfg.MODEL.ANCHOR_GENERATOR.NAME = "DefaultAnchorGenerator" - cfg.MODEL.RPN.BBOX_REG_WEIGHTS = (1, 1, 1, 1) - backbone = build_backbone(cfg) - proposal_generator = build_proposal_generator(cfg, backbone.output_shape()) - num_images = 2 - images_tensor = torch.rand(num_images, 20, 30) - image_sizes = [(10, 10), (20, 30)] - images = ImageList(images_tensor, image_sizes) - image_shape = (15, 15) - num_channels = 1024 - features = {"res4": torch.rand(num_images, num_channels, 1, 2)} - gt_boxes = torch.tensor([[1, 1, 3, 3], [2, 2, 6, 6]], dtype=torch.float32) - gt_instances = Instances(image_shape) - gt_instances.gt_boxes = Boxes(gt_boxes) - with EventStorage(): # capture events in a new storage to discard them - proposals, proposal_losses = proposal_generator( - images, features, [gt_instances[0], gt_instances[1]] - ) - - expected_losses = { - "loss_rpn_cls": torch.tensor(0.0804563984), - "loss_rpn_loc": torch.tensor(0.0990132466), - } - for name in expected_losses.keys(): - self.assertTrue(torch.allclose(proposal_losses[name], expected_losses[name])) - - expected_proposal_boxes = [ - Boxes(torch.tensor([[0, 0, 10, 10], [7.3365392685, 0, 10, 10]])), - Boxes( - torch.tensor( - [ - [0, 0, 30, 20], - [0, 0, 16.7862777710, 13.1362524033], - [0, 0, 30, 13.3173446655], - [0, 0, 10.8602609634, 20], - [7.7165775299, 0, 27.3875980377, 20], - ] - ) - ), - ] - - expected_objectness_logits = [ - torch.tensor([0.1225359365, -0.0133192837]), - torch.tensor([0.1415634006, 0.0989848152, 0.0565387346, -0.0072308783, -0.0428492837]), - ] - - for proposal, expected_proposal_box, im_size, expected_objectness_logit in zip( - proposals, expected_proposal_boxes, image_sizes, expected_objectness_logits - ): - self.assertEqual(len(proposal), len(expected_proposal_box)) - self.assertEqual(proposal.image_size, im_size) - self.assertTrue( - torch.allclose(proposal.proposal_boxes.tensor, expected_proposal_box.tensor) - ) - self.assertTrue(torch.allclose(proposal.objectness_logits, expected_objectness_logit)) - - def test_rrpn(self): - torch.manual_seed(121) - cfg = get_cfg() - cfg.MODEL.PROPOSAL_GENERATOR.NAME = "RRPN" - cfg.MODEL.ANCHOR_GENERATOR.NAME = "RotatedAnchorGenerator" - cfg.MODEL.ANCHOR_GENERATOR.SIZES = [[32, 64]] - cfg.MODEL.ANCHOR_GENERATOR.ASPECT_RATIOS = [[0.25, 1]] - cfg.MODEL.ANCHOR_GENERATOR.ANGLES = [[0, 60]] - cfg.MODEL.RPN.BBOX_REG_WEIGHTS = (1, 1, 1, 1, 1) - cfg.MODEL.RPN.HEAD_NAME = "StandardRPNHead" - backbone = build_backbone(cfg) - proposal_generator = build_proposal_generator(cfg, backbone.output_shape()) - num_images = 2 - images_tensor = torch.rand(num_images, 20, 30) - image_sizes = [(10, 10), (20, 30)] - images = ImageList(images_tensor, image_sizes) - image_shape = (15, 15) - num_channels = 1024 - features = {"res4": torch.rand(num_images, num_channels, 1, 2)} - gt_boxes = torch.tensor([[2, 2, 2, 2, 0], [4, 4, 4, 4, 0]], dtype=torch.float32) - gt_instances = Instances(image_shape) - gt_instances.gt_boxes = RotatedBoxes(gt_boxes) - with EventStorage(): # capture events in a new storage to discard them - proposals, proposal_losses = proposal_generator( - images, features, [gt_instances[0], gt_instances[1]] - ) - - expected_losses = { - "loss_rpn_cls": torch.tensor(0.0432923734), - "loss_rpn_loc": torch.tensor(0.1552739739), - } - for name in expected_losses.keys(): - self.assertTrue(torch.allclose(proposal_losses[name], expected_losses[name])) - - expected_proposal_boxes = [ - RotatedBoxes( - torch.tensor( - [ - [0.60189795, 1.24095452, 61.98131943, 18.03621292, -4.07244873], - [15.64940453, 1.69624567, 59.59749603, 16.34339333, 2.62692475], - [-3.02982378, -2.69752932, 67.90952301, 59.62455750, 59.97010040], - [16.71863365, 1.98309708, 35.61507797, 32.81484985, 62.92267227], - [0.49432933, -7.92979717, 67.77606201, 62.93098450, -1.85656738], - [8.00880814, 1.36017394, 121.81007385, 32.74150467, 50.44297409], - [16.44299889, -4.82221127, 63.39775848, 61.22503662, 54.12270737], - [5.00000000, 5.00000000, 10.00000000, 10.00000000, -0.76943970], - [17.64130402, -0.98095351, 61.40377808, 16.28918839, 55.53118134], - [0.13016054, 4.60568953, 35.80157471, 32.30180359, 62.52872086], - [-4.26460743, 0.39604485, 124.30079651, 31.84611320, -1.58203125], - [7.52815342, -0.91636634, 62.39784622, 15.45565224, 60.79549789], - ] - ) - ), - RotatedBoxes( - torch.tensor( - [ - [0.07734215, 0.81635046, 65.33510590, 17.34688377, -1.51821899], - [-3.41833067, -3.11320257, 64.17595673, 60.55617905, 58.27033234], - [20.67383385, -6.16561556, 63.60531998, 62.52315903, 54.85546494], - [15.00000000, 10.00000000, 30.00000000, 20.00000000, -0.18218994], - [9.22646523, -6.84775209, 62.09895706, 65.46472931, -2.74307251], - [15.00000000, 4.93451595, 30.00000000, 9.86903191, -0.60272217], - [8.88342094, 2.65560246, 120.95362854, 32.45022202, 55.75970078], - [16.39088631, 2.33887148, 34.78761292, 35.61492920, 60.81977463], - [9.78298569, 10.00000000, 19.56597137, 20.00000000, -0.86660767], - [1.28576660, 5.49873352, 34.93610382, 33.22600174, 60.51599884], - [17.58912468, -1.63270092, 62.96052551, 16.45713997, 52.91245270], - [5.64749718, -1.90428460, 62.37649155, 16.19474792, 61.09543991], - [0.82255805, 2.34931135, 118.83985901, 32.83671188, 56.50753784], - [-5.33874989, 1.64404404, 125.28501892, 33.35424042, -2.80731201], - ] - ) - ), - ] - - expected_objectness_logits = [ - torch.tensor( - [ - 0.10111768, - 0.09112845, - 0.08466332, - 0.07589971, - 0.06650183, - 0.06350251, - 0.04299347, - 0.01864817, - 0.00986163, - 0.00078543, - -0.04573630, - -0.04799230, - ] - ), - torch.tensor( - [ - 0.11373727, - 0.09377633, - 0.05281663, - 0.05143715, - 0.04040275, - 0.03250912, - 0.01307789, - 0.01177734, - 0.00038105, - -0.00540255, - -0.01194804, - -0.01461012, - -0.03061717, - -0.03599222, - ] - ), - ] - - torch.set_printoptions(precision=8, sci_mode=False) - - for proposal, expected_proposal_box, im_size, expected_objectness_logit in zip( - proposals, expected_proposal_boxes, image_sizes, expected_objectness_logits - ): - self.assertEqual(len(proposal), len(expected_proposal_box)) - self.assertEqual(proposal.image_size, im_size) - # It seems that there's some randomness in the result across different machines: - # This test can be run on a local machine for 100 times with exactly the same result, - # However, a different machine might produce slightly different results, - # thus the atol here. - err_msg = "computed proposal boxes = {}, expected {}".format( - proposal.proposal_boxes.tensor, expected_proposal_box.tensor - ) - self.assertTrue( - torch.allclose( - proposal.proposal_boxes.tensor, expected_proposal_box.tensor, atol=1e-5 - ), - err_msg, - ) - - err_msg = "computed objectness logits = {}, expected {}".format( - proposal.objectness_logits, expected_objectness_logit - ) - self.assertTrue( - torch.allclose(proposal.objectness_logits, expected_objectness_logit, atol=1e-5), - err_msg, - ) - - def test_rpn_proposals_inf(self): - N, Hi, Wi, A = 3, 3, 3, 3 - proposals = [torch.rand(N, Hi * Wi * A, 4)] - pred_logits = [torch.rand(N, Hi * Wi * A)] - pred_logits[0][1][3:5].fill_(float("inf")) - images = ImageList.from_tensors([torch.rand(3, 10, 10)] * 3) - find_top_rpn_proposals(proposals, pred_logits, images, 0.5, 1000, 1000, 0, False) - - -if __name__ == "__main__": - unittest.main() diff --git a/spaces/CVPR/LIVE/pybind11/tests/test_constants_and_functions.py b/spaces/CVPR/LIVE/pybind11/tests/test_constants_and_functions.py deleted file mode 100644 index 36b1aa64b1201eb16f4424c968c774f68b7abec2..0000000000000000000000000000000000000000 --- a/spaces/CVPR/LIVE/pybind11/tests/test_constants_and_functions.py +++ /dev/null @@ -1,40 +0,0 @@ -# -*- coding: utf-8 -*- -from pybind11_tests import constants_and_functions as m - - -def test_constants(): - assert m.some_constant == 14 - - -def test_function_overloading(): - assert m.test_function() == "test_function()" - assert m.test_function(7) == "test_function(7)" - assert m.test_function(m.MyEnum.EFirstEntry) == "test_function(enum=1)" - assert m.test_function(m.MyEnum.ESecondEntry) == "test_function(enum=2)" - - assert m.test_function() == "test_function()" - assert m.test_function("abcd") == "test_function(char *)" - assert m.test_function(1, 1.0) == "test_function(int, float)" - assert m.test_function(1, 1.0) == "test_function(int, float)" - assert m.test_function(2.0, 2) == "test_function(float, int)" - - -def test_bytes(): - assert m.print_bytes(m.return_bytes()) == "bytes[1 0 2 0]" - - -def test_exception_specifiers(): - c = m.C() - assert c.m1(2) == 1 - assert c.m2(3) == 1 - assert c.m3(5) == 2 - assert c.m4(7) == 3 - assert c.m5(10) == 5 - assert c.m6(14) == 8 - assert c.m7(20) == 13 - assert c.m8(29) == 21 - - assert m.f1(33) == 34 - assert m.f2(53) == 55 - assert m.f3(86) == 89 - assert m.f4(140) == 144 diff --git a/spaces/CVPR/LIVE/thrust/thrust/detail/raw_pointer_cast.h b/spaces/CVPR/LIVE/thrust/thrust/detail/raw_pointer_cast.h deleted file mode 100644 index 33f87849d79d7ba48127b17bfa8e2d038127f18a..0000000000000000000000000000000000000000 --- a/spaces/CVPR/LIVE/thrust/thrust/detail/raw_pointer_cast.h +++ /dev/null @@ -1,52 +0,0 @@ -/* - * Copyright 2008-2013 NVIDIA Corporation - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#pragma once - -#include -#include - -namespace thrust -{ - -template -__host__ __device__ -typename thrust::detail::pointer_traits::raw_pointer -raw_pointer_cast(Pointer ptr) -{ - return thrust::detail::pointer_traits::get(ptr); -} - -template -__host__ __device__ -ToPointer -reinterpret_pointer_cast(FromPointer ptr) -{ - typedef typename thrust::detail::pointer_element::type to_element; - return ToPointer(reinterpret_cast(thrust::raw_pointer_cast(ptr))); -} - -template -__host__ __device__ -ToPointer -static_pointer_cast(FromPointer ptr) -{ - typedef typename thrust::detail::pointer_element::type to_element; - return ToPointer(static_cast(thrust::raw_pointer_cast(ptr))); -} - -} // end thrust - diff --git a/spaces/CVPR/LIVE/thrust/thrust/system/cuda/detail/mismatch.h b/spaces/CVPR/LIVE/thrust/thrust/system/cuda/detail/mismatch.h deleted file mode 100644 index 98c462e8446b7a54da43b90457ee90393188e225..0000000000000000000000000000000000000000 --- a/spaces/CVPR/LIVE/thrust/thrust/system/cuda/detail/mismatch.h +++ /dev/null @@ -1,117 +0,0 @@ -/****************************************************************************** - * Copyright (c) 2016, NVIDIA CORPORATION. All rights reserved. - * - * Redistribution and use in source and binary forms, with or without - * modification, are permitted provided that the following conditions are met: - * * Redistributions of source code must retain the above copyright - * notice, this list of conditions and the following disclaimer. - * * Redistributions in binary form must reproduce the above copyright - * notice, this list of conditions and the following disclaimer in the - * documentation and/or other materials provided with the distribution. - * * Neither the name of the NVIDIA CORPORATION nor the - * names of its contributors may be used to endorse or promote products - * derived from this software without specific prior written permission. - * - * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" - * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE - * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE - * ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY - * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES - * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; - * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND - * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT - * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS - * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - * - ******************************************************************************/ -#pragma once - - -#if THRUST_DEVICE_COMPILER == THRUST_DEVICE_COMPILER_NVCC -#include -#include -#include -#include - -namespace thrust -{ -namespace cuda_cub { - -template -pair __host__ __device__ -mismatch(execution_policy& policy, - InputIt1 first1, - InputIt1 last1, - InputIt2 first2, - BinaryPred binary_pred); - -template -pair __host__ __device__ -mismatch(execution_policy& policy, - InputIt1 first1, - InputIt1 last1, - InputIt2 first2); -} // namespace cuda_ -} // end namespace thrust - -#include - -namespace thrust -{ -namespace cuda_cub { - -template -pair __host__ __device__ -mismatch(execution_policy& policy, - InputIt1 first1, - InputIt1 last1, - InputIt2 first2, - BinaryPred binary_pred) -{ - typedef transform_pair_of_input_iterators_t - transform_t; - - transform_t transform_first = transform_t(first1, first2, binary_pred); - - transform_t result = cuda_cub::find_if_not(policy, - transform_first, - transform_first + thrust::distance(first1, last1), - identity()); - - return thrust::make_pair(first1 + thrust::distance(transform_first,result), - first2 + thrust::distance(transform_first,result)); -} - -template -pair __host__ __device__ -mismatch(execution_policy& policy, - InputIt1 first1, - InputIt1 last1, - InputIt2 first2) -{ - typedef typename thrust::iterator_value::type InputType1; - return cuda_cub::mismatch(policy, - first1, - last1, - first2, - equal_to()); -} - - - -} // namespace cuda_cub -} // end namespace thrust -#endif diff --git a/spaces/CVPR/LIVE/thrust/thrust/system/detail/adl/async/for_each.h b/spaces/CVPR/LIVE/thrust/thrust/system/detail/adl/async/for_each.h deleted file mode 100644 index 08347f659279c487ac9ba5d29a6db3e4b9a6ddb9..0000000000000000000000000000000000000000 --- a/spaces/CVPR/LIVE/thrust/thrust/system/detail/adl/async/for_each.h +++ /dev/null @@ -1,34 +0,0 @@ -/* - * Copyright 2008-2013 NVIDIA Corporation - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -// The purpose of this header is to #include the async/for_each.h header of the -// sequential, host, and device systems. It should be #included in any code -// which uses ADL to dispatch async for_each. - -#pragma once - -#include - -//#include - -//#define __THRUST_HOST_SYSTEM_ASYNC_FOR_EACH_HEADER <__THRUST_HOST_SYSTEM_ROOT/detail/async/for_each.h> -//#include __THRUST_HOST_SYSTEM_ASYNC_FOR_EACH_HEADER -//#undef __THRUST_HOST_SYSTEM_ASYNC_FOR_EACH_HEADER - -#define __THRUST_DEVICE_SYSTEM_ASYNC_FOR_EACH_HEADER <__THRUST_DEVICE_SYSTEM_ROOT/detail/async/for_each.h> -#include __THRUST_DEVICE_SYSTEM_ASYNC_FOR_EACH_HEADER -#undef __THRUST_DEVICE_SYSTEM_ASYNC_FOR_EACH_HEADER - diff --git a/spaces/CVPR/LIVE/thrust/thrust/system/detail/adl/unique.h b/spaces/CVPR/LIVE/thrust/thrust/system/detail/adl/unique.h deleted file mode 100644 index 4082f5299269e77aacbae174754d57977d45ebdd..0000000000000000000000000000000000000000 --- a/spaces/CVPR/LIVE/thrust/thrust/system/detail/adl/unique.h +++ /dev/null @@ -1,44 +0,0 @@ -/* - * Copyright 2008-2013 NVIDIA Corporation - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a fill of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#pragma once - -#include - -// the purpose of this header is to #include the unique.h header -// of the sequential, host, and device systems. It should be #included in any -// code which uses adl to dispatch unique - -#include - -// SCons can't see through the #defines below to figure out what this header -// includes, so we fake it out by specifying all possible files we might end up -// including inside an #if 0. -#if 0 -#include -#include -#include -#include -#endif - -#define __THRUST_HOST_SYSTEM_UNIQUE_HEADER <__THRUST_HOST_SYSTEM_ROOT/detail/unique.h> -#include __THRUST_HOST_SYSTEM_UNIQUE_HEADER -#undef __THRUST_HOST_SYSTEM_UNIQUE_HEADER - -#define __THRUST_DEVICE_SYSTEM_UNIQUE_HEADER <__THRUST_DEVICE_SYSTEM_ROOT/detail/unique.h> -#include __THRUST_DEVICE_SYSTEM_UNIQUE_HEADER -#undef __THRUST_DEVICE_SYSTEM_UNIQUE_HEADER - diff --git a/spaces/CVPR/LIVE/thrust/thrust/system/tbb/detail/set_operations.h b/spaces/CVPR/LIVE/thrust/thrust/system/tbb/detail/set_operations.h deleted file mode 100644 index 421fa8a4bd955706497d0c9b30614035ccbbc46f..0000000000000000000000000000000000000000 --- a/spaces/CVPR/LIVE/thrust/thrust/system/tbb/detail/set_operations.h +++ /dev/null @@ -1,23 +0,0 @@ -/* - * Copyright 2008-2013 NVIDIA Corporation - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#pragma once - -#include - -// this system inherits set_operations -#include - diff --git a/spaces/CVPR/WALT/mmcv_custom/runner/checkpoint.py b/spaces/CVPR/WALT/mmcv_custom/runner/checkpoint.py deleted file mode 100644 index b04167e0fc5f16bc33e793830ebb9c4ef15ef1ed..0000000000000000000000000000000000000000 --- a/spaces/CVPR/WALT/mmcv_custom/runner/checkpoint.py +++ /dev/null @@ -1,85 +0,0 @@ -# Copyright (c) Open-MMLab. All rights reserved. -import os.path as osp -import time -from tempfile import TemporaryDirectory - -import torch -from torch.optim import Optimizer - -import mmcv -from mmcv.parallel import is_module_wrapper -from mmcv.runner.checkpoint import weights_to_cpu, get_state_dict - -try: - import apex -except: - print('apex is not installed') - - -def save_checkpoint(model, filename, optimizer=None, meta=None): - """Save checkpoint to file. - - The checkpoint will have 4 fields: ``meta``, ``state_dict`` and - ``optimizer``, ``amp``. By default ``meta`` will contain version - and time info. - - Args: - model (Module): Module whose params are to be saved. - filename (str): Checkpoint filename. - optimizer (:obj:`Optimizer`, optional): Optimizer to be saved. - meta (dict, optional): Metadata to be saved in checkpoint. - """ - if meta is None: - meta = {} - elif not isinstance(meta, dict): - raise TypeError(f'meta must be a dict or None, but got {type(meta)}') - meta.update(mmcv_version=mmcv.__version__, time=time.asctime()) - - if is_module_wrapper(model): - model = model.module - - if hasattr(model, 'CLASSES') and model.CLASSES is not None: - # save class name to the meta - meta.update(CLASSES=model.CLASSES) - - checkpoint = { - 'meta': meta, - 'state_dict': weights_to_cpu(get_state_dict(model)) - } - # save optimizer state dict in the checkpoint - if isinstance(optimizer, Optimizer): - checkpoint['optimizer'] = optimizer.state_dict() - elif isinstance(optimizer, dict): - checkpoint['optimizer'] = {} - for name, optim in optimizer.items(): - checkpoint['optimizer'][name] = optim.state_dict() - - # save amp state dict in the checkpoint - checkpoint['amp'] = apex.amp.state_dict() - - if filename.startswith('pavi://'): - try: - from pavi import modelcloud - from pavi.exception import NodeNotFoundError - except ImportError: - raise ImportError( - 'Please install pavi to load checkpoint from modelcloud.') - model_path = filename[7:] - root = modelcloud.Folder() - model_dir, model_name = osp.split(model_path) - try: - model = modelcloud.get(model_dir) - except NodeNotFoundError: - model = root.create_training_model(model_dir) - with TemporaryDirectory() as tmp_dir: - checkpoint_file = osp.join(tmp_dir, model_name) - with open(checkpoint_file, 'wb') as f: - torch.save(checkpoint, f) - f.flush() - model.create_file(checkpoint_file, name=model_name) - else: - mmcv.mkdir_or_exist(osp.dirname(filename)) - # immediately flush buffer - with open(filename, 'wb') as f: - torch.save(checkpoint, f) - f.flush() diff --git a/spaces/CVPR/WALT/mmdet/core/bbox/assigners/__init__.py b/spaces/CVPR/WALT/mmdet/core/bbox/assigners/__init__.py deleted file mode 100644 index 95e34a848652f2ab3ca6d3489aa2934d24817888..0000000000000000000000000000000000000000 --- a/spaces/CVPR/WALT/mmdet/core/bbox/assigners/__init__.py +++ /dev/null @@ -1,16 +0,0 @@ -from .approx_max_iou_assigner import ApproxMaxIoUAssigner -from .assign_result import AssignResult -from .atss_assigner import ATSSAssigner -from .base_assigner import BaseAssigner -from .center_region_assigner import CenterRegionAssigner -from .grid_assigner import GridAssigner -from .hungarian_assigner import HungarianAssigner -from .max_iou_assigner import MaxIoUAssigner -from .point_assigner import PointAssigner -from .region_assigner import RegionAssigner - -__all__ = [ - 'BaseAssigner', 'MaxIoUAssigner', 'ApproxMaxIoUAssigner', 'AssignResult', - 'PointAssigner', 'ATSSAssigner', 'CenterRegionAssigner', 'GridAssigner', - 'HungarianAssigner', 'RegionAssigner' -] diff --git a/spaces/CVPR/lama-example/saicinpainting/training/modules/squeeze_excitation.py b/spaces/CVPR/lama-example/saicinpainting/training/modules/squeeze_excitation.py deleted file mode 100644 index d1d902bb30c071acbc0fa919a134c80fed86bd6c..0000000000000000000000000000000000000000 --- a/spaces/CVPR/lama-example/saicinpainting/training/modules/squeeze_excitation.py +++ /dev/null @@ -1,20 +0,0 @@ -import torch.nn as nn - - -class SELayer(nn.Module): - def __init__(self, channel, reduction=16): - super(SELayer, self).__init__() - self.avg_pool = nn.AdaptiveAvgPool2d(1) - self.fc = nn.Sequential( - nn.Linear(channel, channel // reduction, bias=False), - nn.ReLU(inplace=True), - nn.Linear(channel // reduction, channel, bias=False), - nn.Sigmoid() - ) - - def forward(self, x): - b, c, _, _ = x.size() - y = self.avg_pool(x).view(b, c) - y = self.fc(y).view(b, c, 1, 1) - res = x * y.expand_as(x) - return res diff --git a/spaces/CVPR/regionclip-demo/detectron2/modeling/meta_arch/panoptic_fpn.py b/spaces/CVPR/regionclip-demo/detectron2/modeling/meta_arch/panoptic_fpn.py deleted file mode 100644 index 13aeabce162f4114109efe2c7fb4770b89087ab0..0000000000000000000000000000000000000000 --- a/spaces/CVPR/regionclip-demo/detectron2/modeling/meta_arch/panoptic_fpn.py +++ /dev/null @@ -1,266 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright (c) Facebook, Inc. and its affiliates. - -import logging -from typing import Dict, List -import torch -from torch import nn - -from detectron2.config import configurable -from detectron2.structures import ImageList - -from ..postprocessing import detector_postprocess, sem_seg_postprocess -from .build import META_ARCH_REGISTRY -from .rcnn import GeneralizedRCNN -from .semantic_seg import build_sem_seg_head - -__all__ = ["PanopticFPN"] - - -@META_ARCH_REGISTRY.register() -class PanopticFPN(GeneralizedRCNN): - """ - Implement the paper :paper:`PanopticFPN`. - """ - - @configurable - def __init__( - self, - *, - sem_seg_head: nn.Module, - combine_overlap_thresh: float = 0.5, - combine_stuff_area_thresh: float = 4096, - combine_instances_score_thresh: float = 0.5, - **kwargs, - ): - """ - NOTE: this interface is experimental. - - Args: - sem_seg_head: a module for the semantic segmentation head. - combine_overlap_thresh: combine masks into one instances if - they have enough overlap - combine_stuff_area_thresh: ignore stuff areas smaller than this threshold - combine_instances_score_thresh: ignore instances whose score is - smaller than this threshold - - Other arguments are the same as :class:`GeneralizedRCNN`. - """ - super().__init__(**kwargs) - self.sem_seg_head = sem_seg_head - # options when combining instance & semantic outputs - self.combine_overlap_thresh = combine_overlap_thresh - self.combine_stuff_area_thresh = combine_stuff_area_thresh - self.combine_instances_score_thresh = combine_instances_score_thresh - - @classmethod - def from_config(cls, cfg): - ret = super().from_config(cfg) - ret.update( - { - "combine_overlap_thresh": cfg.MODEL.PANOPTIC_FPN.COMBINE.OVERLAP_THRESH, - "combine_stuff_area_thresh": cfg.MODEL.PANOPTIC_FPN.COMBINE.STUFF_AREA_LIMIT, - "combine_instances_score_thresh": cfg.MODEL.PANOPTIC_FPN.COMBINE.INSTANCES_CONFIDENCE_THRESH, # noqa - } - ) - ret["sem_seg_head"] = build_sem_seg_head(cfg, ret["backbone"].output_shape()) - logger = logging.getLogger(__name__) - if not cfg.MODEL.PANOPTIC_FPN.COMBINE.ENABLED: - logger.warning( - "PANOPTIC_FPN.COMBINED.ENABLED is no longer used. " - " model.inference(do_postprocess=) should be used to toggle postprocessing." - ) - if cfg.MODEL.PANOPTIC_FPN.INSTANCE_LOSS_WEIGHT != 1.0: - w = cfg.MODEL.PANOPTIC_FPN.INSTANCE_LOSS_WEIGHT - logger.warning( - "PANOPTIC_FPN.INSTANCE_LOSS_WEIGHT should be replaced by weights on each ROI head." - ) - - def update_weight(x): - if isinstance(x, dict): - return {k: v * w for k, v in x.items()} - else: - return x * w - - roi_heads = ret["roi_heads"] - roi_heads.box_predictor.loss_weight = update_weight(roi_heads.box_predictor.loss_weight) - roi_heads.mask_head.loss_weight = update_weight(roi_heads.mask_head.loss_weight) - return ret - - def forward(self, batched_inputs): - """ - Args: - batched_inputs: a list, batched outputs of :class:`DatasetMapper`. - Each item in the list contains the inputs for one image. - - For now, each item in the list is a dict that contains: - - * "image": Tensor, image in (C, H, W) format. - * "instances": Instances - * "sem_seg": semantic segmentation ground truth. - * Other information that's included in the original dicts, such as: - "height", "width" (int): the output resolution of the model, used in inference. - See :meth:`postprocess` for details. - - Returns: - list[dict]: - each dict has the results for one image. The dict contains the following keys: - - * "instances": see :meth:`GeneralizedRCNN.forward` for its format. - * "sem_seg": see :meth:`SemanticSegmentor.forward` for its format. - * "panoptic_seg": See the return value of - :func:`combine_semantic_and_instance_outputs` for its format. - """ - if not self.training: - return self.inference(batched_inputs) - images = self.preprocess_image(batched_inputs) - features = self.backbone(images.tensor) - - assert "sem_seg" in batched_inputs[0] - gt_sem_seg = [x["sem_seg"].to(self.device) for x in batched_inputs] - gt_sem_seg = ImageList.from_tensors( - gt_sem_seg, self.backbone.size_divisibility, self.sem_seg_head.ignore_value - ).tensor - sem_seg_results, sem_seg_losses = self.sem_seg_head(features, gt_sem_seg) - - gt_instances = [x["instances"].to(self.device) for x in batched_inputs] - proposals, proposal_losses = self.proposal_generator(images, features, gt_instances) - detector_results, detector_losses = self.roi_heads( - images, features, proposals, gt_instances - ) - - losses = sem_seg_losses - losses.update(proposal_losses) - losses.update(detector_losses) - return losses - - def inference(self, batched_inputs: List[Dict[str, torch.Tensor]], do_postprocess: bool = True): - """ - Run inference on the given inputs. - - Args: - batched_inputs (list[dict]): same as in :meth:`forward` - do_postprocess (bool): whether to apply post-processing on the outputs. - - Returns: - When do_postprocess=True, see docs in :meth:`forward`. - Otherwise, returns a (list[Instances], list[Tensor]) that contains - the raw detector outputs, and raw semantic segmentation outputs. - """ - images = self.preprocess_image(batched_inputs) - features = self.backbone(images.tensor) - sem_seg_results, sem_seg_losses = self.sem_seg_head(features, None) - proposals, _ = self.proposal_generator(images, features, None) - detector_results, _ = self.roi_heads(images, features, proposals, None) - - if do_postprocess: - processed_results = [] - for sem_seg_result, detector_result, input_per_image, image_size in zip( - sem_seg_results, detector_results, batched_inputs, images.image_sizes - ): - height = input_per_image.get("height", image_size[0]) - width = input_per_image.get("width", image_size[1]) - sem_seg_r = sem_seg_postprocess(sem_seg_result, image_size, height, width) - detector_r = detector_postprocess(detector_result, height, width) - - processed_results.append({"sem_seg": sem_seg_r, "instances": detector_r}) - - panoptic_r = combine_semantic_and_instance_outputs( - detector_r, - sem_seg_r.argmax(dim=0), - self.combine_overlap_thresh, - self.combine_stuff_area_thresh, - self.combine_instances_score_thresh, - ) - processed_results[-1]["panoptic_seg"] = panoptic_r - return processed_results - else: - return detector_results, sem_seg_results - - -def combine_semantic_and_instance_outputs( - instance_results, - semantic_results, - overlap_threshold, - stuff_area_thresh, - instances_score_thresh, -): - """ - Implement a simple combining logic following - "combine_semantic_and_instance_predictions.py" in panopticapi - to produce panoptic segmentation outputs. - - Args: - instance_results: output of :func:`detector_postprocess`. - semantic_results: an (H, W) tensor, each element is the contiguous semantic - category id - - Returns: - panoptic_seg (Tensor): of shape (height, width) where the values are ids for each segment. - segments_info (list[dict]): Describe each segment in `panoptic_seg`. - Each dict contains keys "id", "category_id", "isthing". - """ - panoptic_seg = torch.zeros_like(semantic_results, dtype=torch.int32) - - # sort instance outputs by scores - sorted_inds = torch.argsort(-instance_results.scores) - - current_segment_id = 0 - segments_info = [] - - instance_masks = instance_results.pred_masks.to(dtype=torch.bool, device=panoptic_seg.device) - - # Add instances one-by-one, check for overlaps with existing ones - for inst_id in sorted_inds: - score = instance_results.scores[inst_id].item() - if score < instances_score_thresh: - break - mask = instance_masks[inst_id] # H,W - mask_area = mask.sum().item() - - if mask_area == 0: - continue - - intersect = (mask > 0) & (panoptic_seg > 0) - intersect_area = intersect.sum().item() - - if intersect_area * 1.0 / mask_area > overlap_threshold: - continue - - if intersect_area > 0: - mask = mask & (panoptic_seg == 0) - - current_segment_id += 1 - panoptic_seg[mask] = current_segment_id - segments_info.append( - { - "id": current_segment_id, - "isthing": True, - "score": score, - "category_id": instance_results.pred_classes[inst_id].item(), - "instance_id": inst_id.item(), - } - ) - - # Add semantic results to remaining empty areas - semantic_labels = torch.unique(semantic_results).cpu().tolist() - for semantic_label in semantic_labels: - if semantic_label == 0: # 0 is a special "thing" class - continue - mask = (semantic_results == semantic_label) & (panoptic_seg == 0) - mask_area = mask.sum().item() - if mask_area < stuff_area_thresh: - continue - - current_segment_id += 1 - panoptic_seg[mask] = current_segment_id - segments_info.append( - { - "id": current_segment_id, - "isthing": False, - "category_id": semantic_label, - "area": mask_area, - } - ) - - return panoptic_seg, segments_info diff --git a/spaces/CikeyQI/Yunzai/Yunzai/plugins/ws-plugin/components/Render.js b/spaces/CikeyQI/Yunzai/Yunzai/plugins/ws-plugin/components/Render.js deleted file mode 100644 index bfa7f9e151222d5f70463fddb03811137f1a7806..0000000000000000000000000000000000000000 --- a/spaces/CikeyQI/Yunzai/Yunzai/plugins/ws-plugin/components/Render.js +++ /dev/null @@ -1,51 +0,0 @@ -import { Version } from '../components/index.js' - -function scale(pct = 1) { - let scale = 100 - scale = Math.min(2, Math.max(0.5, scale / 100)) - pct = pct * scale - return `style=transform:scale(${pct})` -} - -const Render = { - async render(path, params, cfg) { - let { e } = cfg - if (!e.runtime) { - console.log('未找到e.runtime,请升级至最新版Yunzai') - } - - let BotName = Version.isTrss ? 'Trss-Yunzai' : Version.isMiao ? 'Miao-Yunzai' : 'Yunzai-Bot' - return e.runtime.render('ws-plugin', path, params, { - retType: cfg.retMsgId ? 'msgId' : 'default', - beforeRender({ data }) { - let pluginName = '' - if (data.pluginName !== false) { - pluginName = ` & ${data.pluginName || 'ws-plugin'}` - if (data.pluginVersion !== false) { - pluginName += `${data.pluginVersion || Version.version}` - } - } - let resPath = data.pluResPath - const layoutPath = process.cwd() + '/plugins/ws-plugin/resources/common/layout/' - return { - ...data, - _res_path: resPath, - _ws_path: resPath, - _layout_path: layoutPath, - _tpl_path: process.cwd() + '/plugins/ws-plugin/resources/common/tpl/', - defaultLayout: layoutPath + 'default.html', - elemLayout: layoutPath + 'elem.html', - sys: { - scale: scale(cfg.scale || 1) - }, - copyright: `Created By ${BotName}${Version.yunzai}${pluginName}`, - pageGotoParams: { - waitUntil: 'networkidle2' - } - } - } - }) - } -} - -export default Render \ No newline at end of file diff --git a/spaces/CikeyQI/Yunzai/Yunzai/plugins/ws-plugin/resources/help/index.html b/spaces/CikeyQI/Yunzai/Yunzai/plugins/ws-plugin/resources/help/index.html deleted file mode 100644 index cac6d03f219d3ed47e71a9d0e9a5502254ba66a9..0000000000000000000000000000000000000000 --- a/spaces/CikeyQI/Yunzai/Yunzai/plugins/ws-plugin/resources/help/index.html +++ /dev/null @@ -1,44 +0,0 @@ -{{extend defaultLayout}} - -{{block 'css'}} - -<% style = style.replace(/{{_res_path}}/g, _res_path) %> -{{@style}} -{{/block}} - -{{block 'main'}} - -
-
-
{{helpCfg.title||"使用帮助"}}
-
{{helpCfg.subTitle || "Yunzai-Bot & Miao-Plugin"}}
-
-
- -{{each helpGroup group}} -{{set len = group?.list?.length || 0 }} -
-
{{group.group}}
- {{if len > 0}} -
-
- {{each group.list help idx}} -
- - {{help.title}} - {{help.desc}} -
- {{if idx%colCount === colCount-1 && idx>0 && idx< len-1}} -
-
- {{/if}} - {{/each}} - <% for(let i=(len-1)%colCount; i< colCount-1 ; i++){ %> -
- <% } %> -
-
- {{/if}} -
-{{/each}} -{{/block}} \ No newline at end of file diff --git a/spaces/Cpp4App/Cpp4App/CDM/result_processing/eval_size.py b/spaces/Cpp4App/Cpp4App/CDM/result_processing/eval_size.py deleted file mode 100644 index 1c90ccea854b876c6841f901afdebbedf4921fd9..0000000000000000000000000000000000000000 --- a/spaces/Cpp4App/Cpp4App/CDM/result_processing/eval_size.py +++ /dev/null @@ -1,219 +0,0 @@ -import json -import numpy as np -import cv2 -from glob import glob -from os.path import join as pjoin -from tqdm import tqdm - - -def resize_label(bboxes, d_height, gt_height, bias=0): - bboxes_new = [] - scale = gt_height / d_height - for bbox in bboxes: - bbox = [int(b * scale + bias) for b in bbox] - bboxes_new.append(bbox) - return bboxes_new - - -def draw_bounding_box(org, corners, color=(0, 255, 0), line=2, show=False): - board = cv2.resize(org, (608, 1024)) - for i in range(len(corners)): - board = cv2.rectangle(board, (corners[i][0], corners[i][1]), (corners[i][2], corners[i][3]), color, line) - if show: - cv2.imshow('a', board) - cv2.waitKey(0) - return board - - -def load_detect_result_json(reslut_file_root, shrink=3): - def is_bottom_or_top(corner): - column_min, row_min, column_max, row_max = corner - if row_max < 36 or row_min > 725: - return True - return False - - result_files = glob(pjoin(reslut_file_root, '*.json')) - compos_reform = {} - print('Loading %d detection results' % len(result_files)) - for reslut_file in tqdm(result_files): - img_name = reslut_file.split('\\')[-1].split('.')[0] - compos = json.load(open(reslut_file, 'r'))['compos'] - for compo in compos: - if compo['column_max'] - compo['column_min'] < 10 or compo['row_max'] - compo['row_min'] < 10: - continue - if is_bottom_or_top((compo['column_min'], compo['row_min'], compo['column_max'], compo['row_max'])): - continue - if img_name not in compos_reform: - compos_reform[img_name] = {'bboxes': [ - [compo['column_min'] + shrink, compo['row_min'] + shrink, compo['column_max'] - shrink, - compo['row_max'] - shrink]], - 'categories': [compo['category']]} - else: - compos_reform[img_name]['bboxes'].append( - [compo['column_min'] + shrink, compo['row_min'] + shrink, compo['column_max'] - shrink, - compo['row_max'] - shrink]) - compos_reform[img_name]['categories'].append(compo['category']) - return compos_reform - - -def load_ground_truth_json(gt_file): - def get_img_by_id(img_id): - for image in images: - if image['id'] == img_id: - return image['file_name'].split('/')[-1][:-4], (image['height'], image['width']) - - def cvt_bbox(bbox): - ''' - :param bbox: [x,y,width,height] - :return: [col_min, row_min, col_max, row_max] - ''' - bbox = [int(b) for b in bbox] - return [bbox[0], bbox[1], bbox[0] + bbox[2], bbox[1] + bbox[3]] - - data = json.load(open(gt_file, 'r')) - images = data['images'] - annots = data['annotations'] - compos = {} - print('Loading %d ground truth' % len(annots)) - for annot in tqdm(annots): - img_name, size = get_img_by_id(annot['image_id']) - if img_name not in compos: - compos[img_name] = {'bboxes': [cvt_bbox(annot['bbox'])], 'categories': [annot['category_id']], 'size': size} - else: - compos[img_name]['bboxes'].append(cvt_bbox(annot['bbox'])) - compos[img_name]['categories'].append(annot['category_id']) - return compos - - -def eval(detection, ground_truth, img_root, show=True, no_text=False, only_text=False): - def compo_filter(compos, flag): - if not no_text and not only_text: - return compos - compos_new = {'bboxes': [], 'categories': []} - for k, category in enumerate(compos['categories']): - if only_text: - if flag == 'det' and category != 'TextView': - continue - if flag == 'gt' and int(category) != 14: - continue - elif no_text: - if flag == 'det' and category == 'TextView': - continue - if flag == 'gt' and int(category) == 14: - continue - - compos_new['bboxes'].append(compos['bboxes'][k]) - compos_new['categories'].append(category) - return compos_new - - def match(org, d_bbox, gt_bboxes, matched): - ''' - :param matched: mark if the ground truth component is matched - :param d_bbox: [col_min, row_min, col_max, row_max] - :param gt_bboxes: list of ground truth [[col_min, row_min, col_max, row_max]] - :return: Boolean: if IOU large enough or detected box is contained by ground truth - ''' - area_d = (d_bbox[2] - d_bbox[0]) * (d_bbox[3] - d_bbox[1]) - size = -1 - for i, gt_bbox in enumerate(gt_bboxes): - if matched[i] == 0: - continue - area_gt = (gt_bbox[2] - gt_bbox[0]) * (gt_bbox[3] - gt_bbox[1]) - col_min = max(d_bbox[0], gt_bbox[0]) - row_min = max(d_bbox[1], gt_bbox[1]) - col_max = min(d_bbox[2], gt_bbox[2]) - row_max = min(d_bbox[3], gt_bbox[3]) - # if not intersected, area intersection should be 0 - w = max(0, col_max - col_min) - h = max(0, row_max - row_min) - area_inter = w * h - if area_inter == 0: - continue - iod = area_inter / area_d - iou = area_inter / (area_d + area_gt - area_inter) - # if show: - # cv2.putText(org, (str(round(iou, 2)) + ',' + str(round(iod, 2))), (d_bbox[0], d_bbox[1]), - # cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2) - - if iou > 0.9 or iod == 1: - if (gt_bbox[2] - gt_bbox[0]) < 64: - size = 0 - elif 64 < (gt_bbox[2] - gt_bbox[0]) < 128: - size = 1 - elif (gt_bbox[2] - gt_bbox[0]) > 128: - size = 2 - matched[i] = 0 - return True, size - return False, size - - amount = len(detection) - TP, FP, FN = [[0, 0, 0], [0, 0, 0], [0, 0, 0]] - for i, image_id in enumerate(detection): - img = cv2.imread(pjoin(img_root, image_id + '.jpg')) - d_compos = detection[image_id] - if image_id not in ground_truth: - continue - gt_compos = ground_truth[image_id] - - org_height = gt_compos['size'][0] - - d_compos = compo_filter(d_compos, 'det') - gt_compos = compo_filter(gt_compos, 'gt') - - d_compos['bboxes'] = resize_label(d_compos['bboxes'], 800, 1024) - gt_compos['bboxes'] = resize_label(gt_compos['bboxes'], org_height, 1024) - matched = np.ones(len(gt_compos['bboxes']), dtype=int) - for d_bbox in d_compos['bboxes']: - m, size = match(img, d_bbox, gt_compos['bboxes'], matched) - if m: - TP[size] += 1 - else: - h = d_bbox[2] - d_bbox[0] - if h < 64: - size = 0 - elif 64 < h < 128: - size = 1 - elif h > 128: - size = 2 - FP[size] += 1 - - for i in range(len(matched)): - if matched[i] == 1: - gt_bboxes = gt_compos['bboxes'] - h = gt_bboxes[i][2] - gt_bboxes[i][0] - if h < 64: - size = 0 - elif 64 < h < 128: - size = 1 - elif h > 128: - size = 2 - FN[size] += 1 - - if show: - print(image_id + '.jpg') - # cv2.imshow('org', cv2.resize(img, (500, 1000))) - broad = draw_bounding_box(img, d_compos['bboxes'], color=(255, 0, 0), line=3) - draw_bounding_box(broad, gt_compos['bboxes'], color=(0, 0, 255), show=True, line=2) - - if i % 200 == 0: - precision = [round(TP[i] / (TP[i] + FP[i]),3) for i in range(len(TP))] - recall = [round(TP[i] / (TP[i] + FN[i]),3) for i in range(len(TP))] - f1 = [round(2 * (precision[i] * recall[i]) / (precision[i] + recall[i]), 3) for i in range(3)] - print( - '[%d/%d] TP:%s, FP:%s, FN:%s, Precesion:%s, Recall:%s, F1:%s' % ( - i, amount, str(TP), str(FP), str(FN), str(precision), str(recall), str(f1))) - - precision = [round(TP[i] / (TP[i] + FP[i]),3) for i in range(len(TP))] - recall = [round(TP[i] / (TP[i] + FN[i]),3) for i in range(len(TP))] - f1 = [round(2 * (precision[i] * recall[i]) / (precision[i] + recall[i]), 3) for i in range(3)] - print( - '[%d/%d] TP:%s, FP:%s, FN:%s, Precesion:%s, Recall:%s, F1:%s' % ( - i, amount, str(TP), str(FP), str(FN), str(precision), str(recall), str(f1))) - # print("Average precision:%.4f; Average recall:%.3f" % (sum(pres)/len(pres), sum(recalls)/len(recalls))) - - -no_text = False -only_text = False -detect = load_detect_result_json('E:\\Mulong\\Result\\rico\\rico_uied\\rico_new_uied_v3\\merge') -gt = load_ground_truth_json('E:\\Mulong\\Datasets\\rico\\instances_test.json') -eval(detect, gt, 'E:\\Mulong\\Datasets\\rico\\combined', show=False, no_text=no_text, only_text=only_text) \ No newline at end of file diff --git a/spaces/Cyril666/ContourNet-ABI/maskrcnn_benchmark/data/datasets/evaluation/word/util/str_.py b/spaces/Cyril666/ContourNet-ABI/maskrcnn_benchmark/data/datasets/evaluation/word/util/str_.py deleted file mode 100644 index 3fda36820bc711e2548df52d70472adc8c20b99b..0000000000000000000000000000000000000000 --- a/spaces/Cyril666/ContourNet-ABI/maskrcnn_benchmark/data/datasets/evaluation/word/util/str_.py +++ /dev/null @@ -1,94 +0,0 @@ -# encoding = utf-8 -def int_array_to_str(arr): - """turn an int array to a str""" - return "".join(map(chr, arr)) - -def join(arr, splitter=','): - temp = [] - for e in arr: - temp.append(e) - temp.append(splitter) - temp.pop() - return "".join(temp) - -def is_str(s): - return type(s) == str - -def to_lowercase(s): - return str.lower(s) - -def to_uppercase(s): - return str.upper(s) - -def ends_with(s, suffix, ignore_case = False): - """ - suffix: str, list, or tuple - """ - if is_str(suffix): - suffix = [suffix] - suffix = list(suffix) - if ignore_case: - for idx, suf in enumerate(suffix): - suffix[idx] = to_lowercase(suf) - s = to_lowercase(s) - suffix = tuple(suffix) - return s.endswith(suffix) - -def starts_with(s, prefix, ignore_case = False): - """ - prefix: str, list, or tuple - """ - if is_str(prefix): - prefix = [prefix] - prefix = list(prefix) - if ignore_case: - for idx, pre in enumerate(prefix): - prefix[idx] = to_lowercase(pre) - s = to_lowercase(s) - prefix = tuple(prefix) - return s.startswith(prefix) - - -def contains(s, target, ignore_case = False): - if ignore_case: - s = to_lowercase(s) - target = to_lowercase(target) - return s.find(target) >= 0 - -def index_of(s, target): - return s.find(target) - -def replace_all(s, old, new, reg = False): - if reg: - import re - targets = re.findall(old, s) - for t in targets: - s = s.replace(t, new) - else: - s = s.replace(old, new) - return s - -def remove_all(s, sub): - return replace_all(s, sub, '') - -def split(s, splitter, reg = False): - if not reg: - return s.split(splitter) - import re - return re.split(splitter, s) - -def remove_invisible(s): - s = replace_all(s, ' ', '') - s = replace_all(s, '\n', '') - s = replace_all(s, '\t', '') - s = replace_all(s, '\r', '') - return s - -def find_all(s, pattern): - import re - return re.findall(pattern, s) - -def is_none_or_empty(s): - if s is None: - return True - return len(s)==0; diff --git a/spaces/DESUCLUB/BLLAMA/BLIPIntepret.py b/spaces/DESUCLUB/BLLAMA/BLIPIntepret.py deleted file mode 100644 index 4987ab929ce26a4f4885c10f7a3279319601e2a0..0000000000000000000000000000000000000000 --- a/spaces/DESUCLUB/BLLAMA/BLIPIntepret.py +++ /dev/null @@ -1,50 +0,0 @@ -from PIL import Image -import requests -from transformers import Blip2Processor, Blip2ForConditionalGeneration -import torch - -device = "cuda" if torch.cuda.is_available() else "cpu" -print(device) - -def init_BLIP(device): - processor = Blip2Processor.from_pretrained("Salesforce/blip2-opt-2.7b") - if device == 'cuda': - model = Blip2ForConditionalGeneration.from_pretrained( - "Salesforce/blip2-opt-2.7b", load_in_8bit=True,torch_dtype=torch.float16, device_map = 'auto') - else: - print('Using CPU model') - model = Blip2ForConditionalGeneration.from_pretrained( "Salesforce/blip2-opt-2.7b",device_map={"": device}, torch_dtype=torch.float32,low_cpu_mem_usage=True) - - model.eval() - if torch.__version__ >= "2": - model = torch.compile(model) - processor = processor - return model,processor - -def infer_BLIP2(model,processor,image,device): - outputs= '' - prompts = [ - "This is a picture of", - "Question: What is in the picture? Answer:", - "Question: Where is this image depicting? Answer:", - "Question: Who is in this picture? Answer:", - "Question: What are the things in the picture doing? Answer:", - "Question: Why do you think they are doing it? Answer:", - "Question: What emotion does the person or animal in the image feel? Answer:", - ] - for prompt in prompts: - if device == 'cuda': - inputs = processor(images=image, text=prompt, return_tensors="pt").to(device, torch.float16) - else: - inputs = processor(images=image, text=prompt, return_tensors="pt") - generated_ids = model.generate(**inputs) - generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0].strip() - outputs+= prompt+generated_text+' ' - return outputs - -''' -Testing - -model,processor = init_BLIP(device) -image = Image.open('/home/spooky/Downloads/IMG20221214012021.jpg') -infer_BLIP2(model,processor,image,device)''' diff --git a/spaces/DebateLabKIT/deepa2-demo/app.py b/spaces/DebateLabKIT/deepa2-demo/app.py deleted file mode 100644 index 2b33115ccfc11b80bddf4944c986f6bbec60271c..0000000000000000000000000000000000000000 --- a/spaces/DebateLabKIT/deepa2-demo/app.py +++ /dev/null @@ -1,467 +0,0 @@ -# Demo for T5 trained on multi-angular AAAC - -import json -import textwrap -import re - -import graphviz -import requests -import seaborn as sns -import streamlit as st -from spacy import displacy -from stqdm import stqdm -from transformers import pipeline - -import aaac_util as aaac - - -MODEL = "debatelab/argument-analyst" - -INTRO_TEXT = """This app let's you explore ArgumentAnalyst, a system for -logical analysis and reconstruction of argumentative texts (DeepA2). -See also [Betz / Richardson 2021](https://arxiv.org/abs/2110.01509). - ----""" - -BOILER_PLATE = { - "Enter your story" : "", - "Enter question (optional)": "", -} - -MODES = [ - # informal analysis - {'id':'s => a','from':['argument_source'],'to':'argdown_reconstruction'}, - {'id':'s+r => a','from':['argument_source','reason_statements'],'to':'argdown_reconstruction'}, - {'id':'s+j => a','from':['argument_source','conclusion_statements'],'to':'argdown_reconstruction'}, - {'id':'r+j => a','from':['reason_statements','conclusion_statements'],'to':'argdown_reconstruction'}, - {'id':'s+r+j => a','from':['argument_source','reason_statements','conclusion_statements'],'to':'argdown_reconstruction'}, - {'id':'s => r','from':['argument_source'],'to':'reason_statements'}, - {'id':'s+a => r','from':['argument_source','argdown_reconstruction'],'to':'reason_statements'}, - {'id':'s+j => r','from':['argument_source','conclusion_statements'],'to':'reason_statements'}, - {'id':'s => j','from':['argument_source'],'to':'conclusion_statements'}, - {'id':'s+a => j','from':['argument_source','argdown_reconstruction'],'to':'conclusion_statements'}, - {'id':'s+r => j','from':['argument_source','reason_statements'],'to':'conclusion_statements'}, - # extract premises and conclusions - {'id':'a => c','from':['argdown_reconstruction'],'to':'conclusion'}, - {'id':'a => p','from':['argdown_reconstruction'],'to':'premises'}, - # formalize - {'id':'p => f','from':['premises'],'to':'premises_formalized'}, - {'id':'p+c+o => f','from':['premises','conclusion','conclusion_formalized'],'to':'premises_formalized'}, - {'id':'c => o','from':['conclusion'],'to':'conclusion_formalized'}, - {'id':'c+p+f => o','from':['conclusion','premises','premises_formalized'],'to':'conclusion_formalized'}, - {'id':'p+f => k','from':['premises','premises_formalized'],'to':'plcd_subs'}, - {'id':'c+o => k','from':['conclusion','conclusion_formalized'],'to':'plcd_subs'}, - {'id':'p+f+c+o => k','from':['premises','premises_formalized','conclusion','conclusion_formalized'],'to':'plcd_subs'}, - # re-reconstruct argument - {'id':'f+k => p','from':['premises_formalized','plcd_subs'],'to':'premises'}, - {'id':'o+k => c','from':['conclusion_formalized','plcd_subs'],'to':'conclusion'}, - {'id':'p+c => a','from':['premises','conclusion'],'to':'argdown_reconstruction'} -] - -TEST_DATA = [ - {"title":"Allergies (AAAC, 2 steps, 2 distractors, 1 implicit premise, 1 implicit intermediary conclusion)","argument_source":"Whoever is a sufferer of allergy to mango is not a sufferer of allergy to sesame or a sufferer of allergy to carrot. And no sufferer of allergy to carrot is hypersensitive to mango. Consequently, every sufferer of allergy to mango reacts allergically to turkey. Yet someone who is not a sufferer of allergy to mango and a sufferer of allergy to cheese is a sufferer of allergy to ginger and a sufferer of allergy to pepper. Plus, every person who is not both a sufferer of allergy to maize and a sufferer of allergy to mustard is a sufferer of allergy to cinnamon or a sufferer of allergy to oat.","argdown_reconstruction":"(1) If someone is a sufferer of allergy to mango, then they are a sufferer of allergy to carrot, or not a sufferer of allergy to sesame.\n(2) If someone is a sufferer of allergy to carrot, then they are not a sufferer of allergy to mango.\n--\nwith generalized disjunctive syllogism (transposition, negation variant) from (1), (2)\n--\n(3) If someone is a sufferer of allergy to mango, then they are not a sufferer of allergy to sesame.\n(4) If someone is a sufferer of allergy to mango, then they are a sufferer of allergy to sesame or a sufferer of allergy to turkey.\n--\nwith generalized disjunctive syllogism from (3), (4)\n--\n(5) If someone is a sufferer of allergy to mango, then they are a sufferer of allergy to turkey.","reason_statements":[{"text":"Whoever is a sufferer of allergy to mango is not a sufferer of allergy to sesame or a sufferer of allergy to carrot","starts_at":0,"ref_reco":1},{"text":"no sufferer of allergy to carrot is hypersensitive to mango","starts_at":121,"ref_reco":2}],"conclusion_statements":[{"text":"every sufferer of allergy to mango reacts allergically to turkey","starts_at":196,"ref_reco":5}],"premises":[{"ref_reco":1,"text":"If someone is a sufferer of allergy to mango, then they are a sufferer of allergy to carrot, or not a sufferer of allergy to sesame.","explicit":"true"},{"ref_reco":2,"text":"If someone is a sufferer of allergy to carrot, then they are not a sufferer of allergy to mango.","explicit":"true"},{"ref_reco":4,"text":"If someone is a sufferer of allergy to mango, then they are a sufferer of allergy to sesame or a sufferer of allergy to turkey.","explicit":"false"}],"premises_formalized":[{"form":"(x): ${F1}x -> (${F4}x v \u00ac${F2}x)","ref_reco":1},{"form":"(x): ${F4}x -> \u00ac${F1}x","ref_reco":2},{"form":"(x): ${F1}x -> (${F2}x v ${F3}x)","ref_reco":4}],"conclusion":[{"ref_reco":5,"text":"If someone is a sufferer of allergy to mango, then they are a sufferer of allergy to turkey."}],"conclusion_formalized":[{"form":"(x): ${F1}x -> ${F3}x","ref_reco":5}],"intermediary_conclusions_formalized":[{"form":"(x): ${F1}x -> \u00ac${F2}x","ref_reco":3}],"intermediary_conclusions":[{"ref_reco":3,"text":"If someone is a sufferer of allergy to mango, then they are not a sufferer of allergy to sesame."}],"distractors":["Every person who is not both a sufferer of allergy to maize and a sufferer of allergy to mustard is a sufferer of allergy to cinnamon or a sufferer of allergy to oat.","Someone who is not a sufferer of allergy to mango and a sufferer of allergy to cheese is a sufferer of allergy to ginger and a sufferer of allergy to pepper."],"id":"8c2c3329-cab8-4bd1-b4e7-3ff26506be9d","predicate_placeholders":["F1","F2","F3","F4"],"entity_placeholders":[],"steps":2,"n_premises":3,"n_distractors":2,"base_scheme_groups":["generalized disjunctive syllogism"],"scheme_variants":["transposition","negation variant"],"domain_id":"allergies","domain_type":"persons","plcd_subs":{"F1":"sufferer of allergy to mango","F2":"sufferer of allergy to sesame","F3":"sufferer of allergy to turkey","F4":"sufferer of allergy to carrot"},"argdown_index_map":{"s0c":5,"s0p0":4,"s1c":3,"s1p1":2,"s2c":2,"s2p0":1,"s1p0":1},"presentation_parameters":{"resolve_steps":[1],"direction":"forward","implicit_conclusion":"false","implicit_premise":"true","redundancy_frequency":0.1,"drop_conj_frequency":0.1,"start_sentence":[0,2]}}, - {"title":"Families (AAAC, 3 steps, 0 distractors, 1 implicit premise)","argument_source":"A person who is not a nephew of Richard is a half-brother of Lance or a son of Jeff, and vice versa. Hence, somebody who is not a nephew of Richard is a half-brother of Lance or a son of Jeff. We may conclude that nobody is neither a nephew of Richard nor a son of Jeff. All this entails that a person who is not a great-grandfather of David is a son of Jeff, owing to the fact that someone who is not a great-grandfather of David is not a nephew of Richard.","argdown_reconstruction":"(1) If, and only if, someone is not a nephew of Richard, then they are a half-brother of Lance or a son of Jeff.\n--\nwith generalized biconditional elimination (negation variant, complex variant) from (1)\n--\n(2) If someone is not a nephew of Richard, then they are a half-brother of Lance or a son of Jeff.\n(3) If someone is a half-brother of Lance, then they are a nephew of Richard.\n--\nwith generalized disjunctive syllogism (transposition, negation variant) from (2), (3)\n--\n(4) If someone is not a nephew of Richard, then they are a son of Jeff.\n(5) If someone is not a great-grandfather of David, then they are not a nephew of Richard.\n--\nwith hypothetical syllogism (negation variant) from (4), (5)\n--\n(6) If someone is not a great-grandfather of David, then they are a son of Jeff.","reason_statements":[{"text":"A person who is not a nephew of Richard is a half-brother of Lance or a son of Jeff, and vice versa","starts_at":0,"ref_reco":1},{"text":"someone who is not a great-grandfather of David is not a nephew of Richard","starts_at":383,"ref_reco":5}],"conclusion_statements":[{"text":"somebody who is not a nephew of Richard is a half-brother of Lance or a son of Jeff","starts_at":108,"ref_reco":2},{"text":"nobody is neither a nephew of Richard nor a son of Jeff","starts_at":214,"ref_reco":4},{"text":"a person who is not a great-grandfather of David is a son of Jeff","starts_at":293,"ref_reco":6}],"premises":[{"ref_reco":1,"text":"If, and only if, someone is not a nephew of Richard, then they are a half-brother of Lance or a son of Jeff.","explicit":"true"},{"ref_reco":3,"text":"If someone is a half-brother of Lance, then they are a nephew of Richard.","explicit":"false"},{"ref_reco":5,"text":"If someone is not a great-grandfather of David, then they are not a nephew of Richard.","explicit":"true"}],"premises_formalized":[{"form":"(x): \u00ac${F2}x <-> (${F4}x v ${F3}x)","ref_reco":1},{"form":"(x): ${F4}x -> ${F2}x","ref_reco":3},{"form":"(x): \u00ac${F1}x -> \u00ac${F2}x","ref_reco":5}],"conclusion":[{"ref_reco":6,"text":"If someone is not a great-grandfather of David, then they are a son of Jeff."}],"conclusion_formalized":[{"form":"(x): \u00ac${F1}x -> ${F3}x","ref_reco":6}],"intermediary_conclusions_formalized":[{"form":"(x): \u00ac${F2}x -> (${F4}x v ${F3}x)","ref_reco":2},{"form":"(x): \u00ac${F2}x -> ${F3}x","ref_reco":4}],"intermediary_conclusions":[{"ref_reco":2,"text":"If someone is not a nephew of Richard, then they are a half-brother of Lance or a son of Jeff."},{"ref_reco":4,"text":"If someone is not a nephew of Richard, then they are a son of Jeff."}],"distractors":[],"id":"5812d3a0-05d0-4e50-af62-416205f6ea22","predicate_placeholders":["F1","F2","F3","F4"],"entity_placeholders":[],"steps":3,"n_premises":3,"n_distractors":0,"base_scheme_groups":["hypothetical syllogism","generalized biconditional elimination","generalized disjunctive syllogism"],"scheme_variants":["transposition","negation variant","complex variant"],"domain_id":"male_relatives","domain_type":"persons","plcd_subs":{"F1":"great-grandfather of David","F2":"nephew of Richard","F3":"son of Jeff","F4":"half-brother of Lance"},"argdown_index_map":{"s0c":6,"s0p0":5,"s1c":4,"s1p1":3,"s2c":2,"s2p0":1},"presentation_parameters":{"resolve_steps":[],"direction":"forward","implicit_conclusion":"false","implicit_premise":"true","redundancy_frequency":0.1,"drop_conj_frequency":0.1,"start_sentence":[0,1]}}, - {"title":"Football (AAAC, 4 steps, 0 distractors, 0 implicit premises, 3 implicit intermediary conclusions, implicit final conclusion)", "argument_source":"If, and only if, someone is a critic of Besiktas JK, then they are an expert of Tottenham Hotspur or a friend of KRC Genk. And everybody who hasn't expert knowledge about Kilmarnock FC doesn't criticize Besiktas JK, and no expert of Kilmarnock FC has expert knowledge about Tottenham Hotspur, and vice versa.","argdown_reconstruction":"(1) If, and only if, someone is a critic of Besiktas JK, then they are an expert of Tottenham Hotspur or a friend of KRC Genk.\n--\nwith generalized biconditional elimination (negation variant, complex variant) from (1)\n--\n(2) If someone is a critic of Besiktas JK, then they are an expert of Tottenham Hotspur or a friend of KRC Genk.\n(3) If, and only if, someone is an expert of Kilmarnock FC, then they are not an expert of Tottenham Hotspur.\n--\nwith generalized biconditional elimination (negation variant) from (3)\n--\n(4) If someone is an expert of Kilmarnock FC, then they are not an expert of Tottenham Hotspur.\n(5) If someone is not an expert of Kilmarnock FC, then they are not a critic of Besiktas JK.\n--\nwith hypothetical syllogism (transposition, negation variant) from (4), (5)\n--\n(6) If someone is a critic of Besiktas JK, then they are not an expert of Tottenham Hotspur.\n--\nwith generalized disjunctive syllogism from (2), (6)\n--\n(7) If someone is a critic of Besiktas JK, then they are a friend of KRC Genk.","reason_statements":[{"text":"If, and only if, someone is a critic of Besiktas JK, then they are an expert of Tottenham Hotspur or a friend of KRC Genk","starts_at":0,"ref_reco":1},{"text":"everybody who hasn't expert knowledge about Kilmarnock FC doesn't criticize Besiktas JK","starts_at":127,"ref_reco":5},{"text":"no expert of Kilmarnock FC has expert knowledge about Tottenham Hotspur, and vice versa","starts_at":220,"ref_reco":3}],"conclusion_statements":[],"premises":[{"ref_reco":1,"text":"If, and only if, someone is a critic of Besiktas JK, then they are an expert of Tottenham Hotspur or a friend of KRC Genk.","explicit":"true"},{"ref_reco":3,"text":"If, and only if, someone is an expert of Kilmarnock FC, then they are not an expert of Tottenham Hotspur.","explicit":"true"},{"ref_reco":5,"text":"If someone is not an expert of Kilmarnock FC, then they are not a critic of Besiktas JK.","explicit":"true"}],"premises_formalized":[{"form":"(x): ${F1}x <-> (${F2}x v ${F3}x)","ref_reco":1},{"form":"(x): ${F4}x <-> \u00ac${F2}x","ref_reco":3},{"form":"(x): \u00ac${F4}x -> \u00ac${F1}x","ref_reco":5}],"conclusion":[{"ref_reco":7,"text":"If someone is a critic of Besiktas JK, then they are a friend of KRC Genk."}],"conclusion_formalized":[{"form":"(x): ${F1}x -> ${F3}x","ref_reco":7}],"intermediary_conclusions_formalized":[{"form":"(x): ${F1}x -> (${F2}x v ${F3}x)","ref_reco":2},{"form":"(x): ${F4}x -> \u00ac${F2}x","ref_reco":4},{"form":"(x): ${F1}x -> \u00ac${F2}x","ref_reco":6}],"intermediary_conclusions":[{"ref_reco":2,"text":"If someone is a critic of Besiktas JK, then they are an expert of Tottenham Hotspur or a friend of KRC Genk."},{"ref_reco":4,"text":"If someone is an expert of Kilmarnock FC, then they are not an expert of Tottenham Hotspur."},{"ref_reco":6,"text":"If someone is a critic of Besiktas JK, then they are not an expert of Tottenham Hotspur."}],"distractors":[],"id":"ead34d89-af68-4add-bb62-caff9043c90f","predicate_placeholders":["F1","F2","F3","F4"],"entity_placeholders":[],"steps":4,"n_premises":3,"n_distractors":0,"base_scheme_groups":["hypothetical syllogism","generalized biconditional elimination","generalized disjunctive syllogism"],"scheme_variants":["transposition","negation variant","complex variant"],"domain_id":"football_fans","domain_type":"persons","plcd_subs":{"F1":"critic of Besiktas JK","F2":"expert of Tottenham Hotspur","F3":"friend of KRC Genk","F4":"expert of Kilmarnock FC"},"argdown_index_map":{"s0c":7,"s1c":2,"s1p1":2,"s2c":6,"s2p0":5,"s1p0":1,"s3c":4,"s3p0":3},"presentation_parameters":{"resolve_steps":[1,2,3],"direction":"backward","implicit_conclusion":"true","implicit_premise":"false","redundancy_frequency":0.1,"drop_conj_frequency":0.1,"start_sentence":[0,2]}} -] - -GEN_CHAINS = [ - {"id":"straight (with formalization)","modes":['s => a','s => r','s => j','a => c','a => p','c => o','p+c+o => f']}, - {"id":"straight (without formalization)","modes":['s => a','s => r','s => j']}, - {"id":"hermeneutic cycle 1","modes":['s => a','s+a => r','s+a => j','r+j => a','a => c','a => p','c => o','p+c+o => f']}, - {"id":"hermeneutic cycle 2","modes":['s => a','s+a => r','s+a => j','s+r+j => a','s+a => r','s+a => j','s+r+j => a','a => c','a => p','c => o','p+c+o => f']}, - {"id":"logical streamlining","modes":['s => a','a => p','a => c','c => o','c+o => k','o+k => c','p+c => a','a => c','a => p','c => o','p+c+o => f']}, -] - -INFERENCE_PARAMS = { - 'max_length':450, - 'use_cache':False -} - -MAX_API_CALLS = 3 - -HTML_WRAPPER = """
{}
""" - -CACHE_SIZE = 10000 - -def params(config): - pass - - -@st.cache(allow_output_mutation=True) -def aaac_fields(): - fields = [] - for m in MODES: - fields = fields + m['from'] - return set(sorted(fields)) - -# defines how to present reason and conclusion statements to the model -@st.cache(allow_output_mutation=True) -def format_statements_list(statements: list) -> str: - if len(statements)==0: - return "None" - list_as_string = ["%s (ref: (%s))" % (sdict['text'],sdict['ref_reco']) for sdict in statements] - list_as_string = " | ".join(list_as_string) - return list_as_string - -# construct inference graph -@st.cache(allow_output_mutation=True) -def get_inference_graph(argdown_parsed,colors): - premise_template = """< - - -
({label}) {text}
- >""" - - conclusion_template = """< - - - -
{inference}
({label}) {text}
- >""" - - g = graphviz.Digraph() - g.attr(ratio="compress", size="6,10", orientation='portrait',overlay="compress") - for item in argdown_parsed: - text = textwrap.wrap("(X) "+item['text'], width=30) - text='
'.join(text)[4:] - #g.attr('node',shape='box', fillcolor='#40e0d0', style='filled') - g.attr('node',shape='plaintext') - if len(item['uses'])==0: - g.node( - 'node%d'%item['label'], - premise_template.format(text=text,label=item['label'],bgcolor=colors.get('P%d'%item['label'],'white')), - tooltip=textwrap.fill(item['text'], width=30) - ) - else: - inference = "with "+item['scheme']+"" - if len(item['variants'])>0: - inference += " ("+(", ".join(item['variants']))+"):" - inference = textwrap.wrap(inference, width=40) - inference='
'.join(inference) - g.node( - 'node%d'%item['label'], - conclusion_template.format( - text=text, - label=item['label'], - bgcolor=colors.get('C%d'%item['label'],'white'), - inference=inference - ), - tooltip=textwrap.fill(item['text'], width=30) - ) - - for i in item['uses']: - g.edge('node%d'%i,'node%d'%item['label']) - - return g - - -# get entities for displacy -@st.cache(allow_output_mutation=True) -def get_ds_entities(argument_source,s_parsed,type="reasons"): - if type=="reasons": - lab_templ="P%d" - color_profile = "mako_r" - elif type=="conclusions": - lab_templ="C%d" - color_profile = "rocket_r" - else: - return None,None - - ents = [] - colors = [] - pointer = 0 - for item in s_parsed: - reason = item['text'] - if reason in argument_source: - idx_start = argument_source.index(reason, pointer) - idx_end = idx_start+len(reason) - pointer = idx_end - ents.append({ - "start":idx_start, "end":idx_end, "label":lab_templ%item['ref_reco'] - }) - - # construct colors for reason statements - palette = sns.color_palette(color_profile,round(3*len(ents))).as_hex() - colors = {ent["label"]:palette[i] for i,ent in enumerate(ents)} - - return ents,colors - -# format raw argdown (inserting line breaks) -@st.cache(allow_output_mutation=True) -def format_argdown(raw_argdown: str, colors=None) -> str: - if not raw_argdown: - return "No argument reconstruction to display." - all_colors = {('color('+str(i+1)+')'):'white' for i in range(20)} - if colors: - all_colors.update({('color('+k[1:]+')'):v for k,v in colors.items()}) - - def format_statement_block(s): - r = re.sub('(\([0-9]+\))', r'
\1', s) - r = r.format(**all_colors) - return r - format_inference_block = lambda s: "
--
"+s+"
--" - split = raw_argdown.split(' -- ') - argdown = format_statement_block(split[0]) - i=1 - while i%s"""%argdown - return argdown - -# format formalization as markdown -@st.cache(allow_output_mutation=True) -def get_formalization_display(pform_parsed=None, cform_parsed=None): - # format premises and conclusion - premise_list = ['- `%s` (%d)'%(p['form'],p['ref_reco']) for p in pform_parsed] - premise_list = '\n'.join(premise_list) - conclusion = '- `%s` (%d)'%(cform_parsed[-1]['form'],cform_parsed[-1]['ref_reco']) - - # check deductive validity - evaluator = aaac.AAACLogicEvaluator() - scheme = [p['form'] for p in pform_parsed] - scheme.append(cform_parsed[-1]['form']) - check = evaluator.check_deductive_validity(scheme) - if check==None: - eval_message = "(Couldn't parse formulas.)" - else: - check_token = "valid" if check else "invalid" - eval_message = "The inference from *premises* to *conclusion* is deductively **{check_token}**.".format(check_token=check_token) - - # put everything together - display_formalization = """##### Premises:\n\n{premise_list}\n\n##### Conclusion:\n\n{conclusion}\n\n{eval_message}""" - display_formalization = display_formalization.format(premise_list=premise_list,conclusion=conclusion,eval_message=eval_message) - - return display_formalization - - -def run_model(mode_set, user_input): - """Main method for running the model - - :param mode_set: the modes to run - :param user_input: the user input (dict) - :returns: output dict - """ - - if "inference" not in st.session_state: - with st.spinner('Initializing pipeline'): - st.session_state.inference = pipeline(task="text2text-generation", model=MODEL) - - current_input = user_input.copy() - output = [] - - for i,mode_id in enumerate(mode_set): - current_mode = next(m for m in MODES if m['id']==mode_id) - with st.spinner('Generating output %d of %d with mode %s'%((i+1),len(mode_set),mode_id)): - # construct prompt - inquire_prompt = "" - to_key = current_mode['to'] - for from_key in current_mode['from']: - inquire_prompt = inquire_prompt + (f"{to_key}: {from_key}: {current_input[from_key]}") - # inquire model - inputs = inquire_prompt - out = st.session_state.inference(inputs, **INFERENCE_PARAMS) - out = out[0]['generated_text'] - # cleanup formalization - if to_key in ['premises_formalized','conclusion_formalized']: - out = out.replace("⁇","") - out = out.replace(" "," ") - #out = out+"-Hellooo!" - - # write output - output.append({ - 'step':i, - 'mode':current_mode, - 'output':out, - 'prompt':inquire_prompt - }) - # update input - current_input[to_key] = out - - return output - - -def main(): - - st.set_page_config(layout="wide") - st.title("DeepA2 ArgumentAnalyst Demo") - st.markdown(INTRO_TEXT, unsafe_allow_html=False) - - ## page details - - # choose example data - ex_titles = [x['title'] for x in TEST_DATA] - ex_titles = ['...'] + ex_titles - ex_s = st.selectbox("1. Select an example...",ex_titles,index=0) - ex_item = TEST_DATA[ex_titles.index(ex_s)-1] - - user_input = {} - - # Source text - d = 'argument_source' - filler = d - if ex_s != '...': - filler = ex_item[d] - filler = filler.lower() - user_input[d] = st.text_area( - "...or enter a text to analyze (argument source):",filler, - height=250 - ) - if user_input[d]==d: - user_input[d] = "" - else: - user_input[d] = user_input[d].lower() - - - # modes - - gen_chain_id_s = st.selectbox("2. Select a reconstruction strategy...",[x['id'] for x in GEN_CHAINS],index=0) - modes_s = next(x['modes'] for x in GEN_CHAINS if x['id']==gen_chain_id_s) - - modes_s = st.multiselect( - "... or build a custom generative chain (argument source=`s`, reasons=`r`, conjectures=`j`, argdown reconstruction=`a`, premises=`p`, conclusion=`c`, premise formalization=`f`, conclusion formalization=`o`, keys=`k`):", - [m['id'] for m in MODES]*2, - modes_s#["s => a","s+a => r","s+a => j","a => c","a => p","c => o","p+c+o => f"] - ) - - # optional additional input - - input_expander = st.expander(label='Additional input (optional)') - with input_expander: - # for every mode, add input field - for d in [m for m in aaac_fields() if m!="argument_source"]: - filler = d - if ex_s != '...': - filler = ex_item[d] - if d in ['reason_statements','conclusion_statements','conclusion','premises']: - filler = aaac.AAACLayouter.format_statements_list(filler) - elif d in ['premises_formalized','conclusion_formalized']: - filler = aaac.AAACLayouter.format_formalizations_list(filler) - elif d in ['plcd_subs']: - filler = aaac.AAACLayouter.format_plcd_subs(filler) - - user_input[d] = st.text_area( - d,filler, - height=250 - ) - - if user_input[d]==d: - user_input[d] = "" - - - ## answer a query - submit = st.button("Process") - - #row = []; index = [] - #row_der = []; index_der = [] - - - if submit: - if all(len(v)==0 for v in user_input.values()): - st.warning('Please choose an example, or provide input.') - else: - with st.spinner("Processing (may take a couple of minutes) ..."): - output = run_model(modes_s,user_input) - - if output is None: - return None - - # get latest generated reasons, conclusions, argdown - argdown_raw = [out['output'] for out in output if out['mode']['to']=='argdown_reconstruction'] - argdown_raw = argdown_raw[-1] if len(argdown_raw)>0 else None - reasons_raw = [out['output'] for out in output if out['mode']['to']=='reason_statements'] - reasons_raw = reasons_raw[-1] if len(reasons_raw)>0 else None - concl_raw = [out['output'] for out in output if out['mode']['to']=='conclusion_statements'] - concl_raw = concl_raw[-1] if len(concl_raw)>0 else None - pform_raw = [out['output'] for out in output if out['mode']['to']=='premises_formalized'] - pform_raw = pform_raw[-1] if len(pform_raw)>0 else None - #pform_raw = "(x): F x -> (G x v H x) (ref: (1)) | (x): F x -> not G x (ref: (3))" # TEST - cform_raw = [out['output'] for out in output if out['mode']['to']=='conclusion_formalized'] - cform_raw = cform_raw[-1] if len(cform_raw)>0 else None - #cform_raw = "(x): F x -> H x (ref: (4))" # TEST - - # parse raw output - argdown_parsed = aaac.AAACParser.parse_argdown_block(argdown_raw) if argdown_raw else None - reasons_parsed = aaac.AAACParser.parse_statements(reasons_raw) if reasons_raw else None - concl_parsed = aaac.AAACParser.parse_statements(concl_raw) if concl_raw else None - pform_parsed = aaac.AAACParser.parse_formalizations(pform_raw) if pform_raw else None - cform_parsed = aaac.AAACParser.parse_formalizations(cform_raw) if cform_raw else None - - - # check syntactic validity - argdown_valid = ( - aaac.ad_valid_syntax(argdown_parsed) & - aaac.ad_last_st_concl(argdown_parsed) & - aaac.used_prem_exist(argdown_parsed) #& - #1-aaac.prem_non_used(argdown_parsed) - ) if argdown_parsed else False - reasons_valid = ( - aaac.s_ord_me_subsseq(reasons_parsed,user_input['argument_source']) - ) if reasons_parsed else False - concl_valid = ( - aaac.s_ord_me_subsseq(concl_parsed,user_input['argument_source']) - ) if concl_parsed else False - reasons_concl_mc = ( - aaac.reason_concl_mutually_exclusive(reasons_parsed,concl_parsed) - ) if reasons_parsed and concl_parsed else False - pform_valid = True if pform_parsed else False - cform_valid = True if cform_parsed else False - - # get and merge entities and colors for displacy - ents = [] - colors={} - if concl_valid: - ents,colors = get_ds_entities(user_input['argument_source'],concl_parsed,type="conclusions") - if reasons_valid and reasons_concl_mc: - ents_r,colors_r = get_ds_entities(user_input['argument_source'],reasons_parsed,type="reasons") - ents= ents+ents_r - colors.update(colors_r) - ents = sorted(ents, key=lambda item: item["start"]) - elif reasons_valid: - ents,colors = get_ds_entities(user_input['argument_source'],reasons_parsed,type="reasons") - - options = {"colors":colors} - ex = [{"text": user_input['argument_source'],"ents": ents,"title": None}] - displacy_html = displacy.render(ex, style="ent", options=options, manual=True) - - graphviz_graph = get_inference_graph(argdown_parsed,colors) if argdown_valid else None - - - # Show output - col_source, col_reco = st.columns(2) - with col_source: - st.markdown(f'
Reasons and conclusions in source text
',unsafe_allow_html=True) - st.write(HTML_WRAPPER.format(displacy_html), unsafe_allow_html=True) - - with col_reco: - ig_expander = st.expander(label='Argument reconstruction (inference graph)', expanded=argdown_valid) - with ig_expander: - if argdown_valid: - st.graphviz_chart(graphviz_graph,use_container_width=True) - else: - st.write("No inference graph to display.") - lgc_expander = st.expander(label='Formalization', expanded=(pform_valid and cform_valid)) - with lgc_expander: - if pform_valid and cform_valid: - st.markdown(get_formalization_display(pform_parsed=pform_parsed, cform_parsed=cform_parsed)) - else: - st.write("No formalization to display.") - ad_expander = st.expander(label='Argument reconstruction (argdown snippet)', expanded=(not argdown_valid)) - with ad_expander: - st.write(format_argdown(argdown_raw,colors), unsafe_allow_html=True) - - history_expander = st.expander(label='Full history', expanded=False) - with history_expander: - st.write(output) - - #for out in output: - # st.write("step: %d, mode: %s" % (out['step'],out['mode']['id'])) - # output_f = format_argdown(out['output']) if out['mode']['to']=='argdown_reconstruction' else out['output'] - # st.write(output_f, unsafe_allow_html=True) - - -if __name__ == '__main__': - main() diff --git a/spaces/Dinoking/Guccio-AI-Designer/models/stylegan2/stylegan2-pytorch/op/upfirdn2d.py b/spaces/Dinoking/Guccio-AI-Designer/models/stylegan2/stylegan2-pytorch/op/upfirdn2d.py deleted file mode 100644 index 9ca1f5c72098debfb0ffa1ba1b81eb92eb64d428..0000000000000000000000000000000000000000 --- a/spaces/Dinoking/Guccio-AI-Designer/models/stylegan2/stylegan2-pytorch/op/upfirdn2d.py +++ /dev/null @@ -1,198 +0,0 @@ -import os -import platform - -import torch -from torch.nn import functional as F -from torch.autograd import Function -from torch.utils.cpp_extension import load - -use_fallback = False - -# Try loading precompiled, otherwise use native fallback -try: - import upfirdn2d_op -except ModuleNotFoundError as e: - print('StyleGAN2: Optimized CUDA op UpFirDn2d not available, using native PyTorch fallback.') - use_fallback = True - -class UpFirDn2dBackward(Function): - @staticmethod - def forward( - ctx, grad_output, kernel, grad_kernel, up, down, pad, g_pad, in_size, out_size - ): - - up_x, up_y = up - down_x, down_y = down - g_pad_x0, g_pad_x1, g_pad_y0, g_pad_y1 = g_pad - - grad_output = grad_output.reshape(-1, out_size[0], out_size[1], 1) - - grad_input = upfirdn2d_op.upfirdn2d( - grad_output, - grad_kernel, - down_x, - down_y, - up_x, - up_y, - g_pad_x0, - g_pad_x1, - g_pad_y0, - g_pad_y1, - ) - grad_input = grad_input.view(in_size[0], in_size[1], in_size[2], in_size[3]) - - ctx.save_for_backward(kernel) - - pad_x0, pad_x1, pad_y0, pad_y1 = pad - - ctx.up_x = up_x - ctx.up_y = up_y - ctx.down_x = down_x - ctx.down_y = down_y - ctx.pad_x0 = pad_x0 - ctx.pad_x1 = pad_x1 - ctx.pad_y0 = pad_y0 - ctx.pad_y1 = pad_y1 - ctx.in_size = in_size - ctx.out_size = out_size - - return grad_input - - @staticmethod - def backward(ctx, gradgrad_input): - kernel, = ctx.saved_tensors - - gradgrad_input = gradgrad_input.reshape(-1, ctx.in_size[2], ctx.in_size[3], 1) - - gradgrad_out = upfirdn2d_op.upfirdn2d( - gradgrad_input, - kernel, - ctx.up_x, - ctx.up_y, - ctx.down_x, - ctx.down_y, - ctx.pad_x0, - ctx.pad_x1, - ctx.pad_y0, - ctx.pad_y1, - ) - # gradgrad_out = gradgrad_out.view(ctx.in_size[0], ctx.out_size[0], ctx.out_size[1], ctx.in_size[3]) - gradgrad_out = gradgrad_out.view( - ctx.in_size[0], ctx.in_size[1], ctx.out_size[0], ctx.out_size[1] - ) - - return gradgrad_out, None, None, None, None, None, None, None, None - - -class UpFirDn2d(Function): - @staticmethod - def forward(ctx, input, kernel, up, down, pad): - up_x, up_y = up - down_x, down_y = down - pad_x0, pad_x1, pad_y0, pad_y1 = pad - - kernel_h, kernel_w = kernel.shape - batch, channel, in_h, in_w = input.shape - ctx.in_size = input.shape - - input = input.reshape(-1, in_h, in_w, 1) - - ctx.save_for_backward(kernel, torch.flip(kernel, [0, 1])) - - out_h = (in_h * up_y + pad_y0 + pad_y1 - kernel_h) // down_y + 1 - out_w = (in_w * up_x + pad_x0 + pad_x1 - kernel_w) // down_x + 1 - ctx.out_size = (out_h, out_w) - - ctx.up = (up_x, up_y) - ctx.down = (down_x, down_y) - ctx.pad = (pad_x0, pad_x1, pad_y0, pad_y1) - - g_pad_x0 = kernel_w - pad_x0 - 1 - g_pad_y0 = kernel_h - pad_y0 - 1 - g_pad_x1 = in_w * up_x - out_w * down_x + pad_x0 - up_x + 1 - g_pad_y1 = in_h * up_y - out_h * down_y + pad_y0 - up_y + 1 - - ctx.g_pad = (g_pad_x0, g_pad_x1, g_pad_y0, g_pad_y1) - - out = upfirdn2d_op.upfirdn2d( - input, kernel, up_x, up_y, down_x, down_y, pad_x0, pad_x1, pad_y0, pad_y1 - ) - # out = out.view(major, out_h, out_w, minor) - out = out.view(-1, channel, out_h, out_w) - - return out - - @staticmethod - def backward(ctx, grad_output): - kernel, grad_kernel = ctx.saved_tensors - - grad_input = UpFirDn2dBackward.apply( - grad_output, - kernel, - grad_kernel, - ctx.up, - ctx.down, - ctx.pad, - ctx.g_pad, - ctx.in_size, - ctx.out_size, - ) - - return grad_input, None, None, None, None - - -def upfirdn2d(input, kernel, up=1, down=1, pad=(0, 0)): - if use_fallback or input.device.type == "cpu": - out = upfirdn2d_native( - input, kernel, up, up, down, down, pad[0], pad[1], pad[0], pad[1] - ) - else: - out = UpFirDn2d.apply( - input, kernel, (up, up), (down, down), (pad[0], pad[1], pad[0], pad[1]) - ) - - return out - - -def upfirdn2d_native( - input, kernel, up_x, up_y, down_x, down_y, pad_x0, pad_x1, pad_y0, pad_y1 -): - _, channel, in_h, in_w = input.shape - input = input.reshape(-1, in_h, in_w, 1) - - _, in_h, in_w, minor = input.shape - kernel_h, kernel_w = kernel.shape - - out = input.view(-1, in_h, 1, in_w, 1, minor) - out = F.pad(out, [0, 0, 0, up_x - 1, 0, 0, 0, up_y - 1]) - out = out.view(-1, in_h * up_y, in_w * up_x, minor) - - out = F.pad( - out, [0, 0, max(pad_x0, 0), max(pad_x1, 0), max(pad_y0, 0), max(pad_y1, 0)] - ) - out = out[ - :, - max(-pad_y0, 0) : out.shape[1] - max(-pad_y1, 0), - max(-pad_x0, 0) : out.shape[2] - max(-pad_x1, 0), - :, - ] - - out = out.permute(0, 3, 1, 2) - out = out.reshape( - [-1, 1, in_h * up_y + pad_y0 + pad_y1, in_w * up_x + pad_x0 + pad_x1] - ) - w = torch.flip(kernel, [0, 1]).view(1, 1, kernel_h, kernel_w) - out = F.conv2d(out, w) - out = out.reshape( - -1, - minor, - in_h * up_y + pad_y0 + pad_y1 - kernel_h + 1, - in_w * up_x + pad_x0 + pad_x1 - kernel_w + 1, - ) - out = out.permute(0, 2, 3, 1) - out = out[:, ::down_y, ::down_x, :] - - out_h = (in_h * up_y + pad_y0 + pad_y1 - kernel_h) // down_y + 1 - out_w = (in_w * up_x + pad_x0 + pad_x1 - kernel_w) // down_x + 1 - - return out.view(-1, channel, out_h, out_w) diff --git a/spaces/DragGan/DragGan-Inversion/PTI/models/StyleCLIP/global_directions/SingleChannel.py b/spaces/DragGan/DragGan-Inversion/PTI/models/StyleCLIP/global_directions/SingleChannel.py deleted file mode 100644 index ecaa7ec7898d37f8f5db171f9141a5253af3fa73..0000000000000000000000000000000000000000 --- a/spaces/DragGan/DragGan-Inversion/PTI/models/StyleCLIP/global_directions/SingleChannel.py +++ /dev/null @@ -1,109 +0,0 @@ - - - -import numpy as np -import torch -import clip -from PIL import Image -import copy -from manipulate import Manipulator -import argparse - -def GetImgF(out,model,preprocess): - imgs=out - imgs1=imgs.reshape([-1]+list(imgs.shape[2:])) - - tmp=[] - for i in range(len(imgs1)): - - img=Image.fromarray(imgs1[i]) - image = preprocess(img).unsqueeze(0).to(device) - tmp.append(image) - - image=torch.cat(tmp) - with torch.no_grad(): - image_features = model.encode_image(image) - - image_features1=image_features.cpu().numpy() - image_features1=image_features1.reshape(list(imgs.shape[:2])+[512]) - - return image_features1 - -def GetFs(fs): - tmp=np.linalg.norm(fs,axis=-1) - fs1=fs/tmp[:,:,:,None] - fs2=fs1[:,:,1,:]-fs1[:,:,0,:] # 5*sigma - (-5)* sigma - fs3=fs2/np.linalg.norm(fs2,axis=-1)[:,:,None] - fs3=fs3.mean(axis=1) - fs3=fs3/np.linalg.norm(fs3,axis=-1)[:,None] - return fs3 - -#%% -if __name__ == "__main__": - parser = argparse.ArgumentParser(description='Process some integers.') - - parser.add_argument('--dataset_name',type=str,default='cat', - help='name of dataset, for example, ffhq') - args = parser.parse_args() - dataset_name=args.dataset_name - - #%% - device = "cuda" if torch.cuda.is_available() else "cpu" - model, preprocess = clip.load("ViT-B/32", device=device) - #%% - M=Manipulator(dataset_name=dataset_name) - np.set_printoptions(suppress=True) - print(M.dataset_name) - #%% - img_sindex=0 - num_images=100 - dlatents_o=[] - tmp=img_sindex*num_images - for i in range(len(M.dlatents)): - tmp1=M.dlatents[i][tmp:(tmp+num_images)] - dlatents_o.append(tmp1) - #%% - - all_f=[] - M.alpha=[-5,5] #ffhq 5 - M.step=2 - M.num_images=num_images - select=np.array(M.mindexs)<=16 #below or equal to 128 resolution - mindexs2=np.array(M.mindexs)[select] - for lindex in mindexs2: #ignore ToRGB layers - print(lindex) - num_c=M.dlatents[lindex].shape[1] - for cindex in range(num_c): - - M.dlatents=copy.copy(dlatents_o) - M.dlatents[lindex][:,cindex]=M.code_mean[lindex][cindex] - - M.manipulate_layers=[lindex] - codes,out=M.EditOneC(cindex) - image_features1=GetImgF(out,model,preprocess) - all_f.append(image_features1) - - all_f=np.array(all_f) - - fs3=GetFs(all_f) - - #%% - file_path='./npy/'+M.dataset_name+'/' - np.save(file_path+'fs3',fs3) - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/spaces/DragGan/DragGan/torch_utils/custom_ops.py b/spaces/DragGan/DragGan/torch_utils/custom_ops.py deleted file mode 100644 index 439e445b16da7ac985f7a1f2053e665385d47e87..0000000000000000000000000000000000000000 --- a/spaces/DragGan/DragGan/torch_utils/custom_ops.py +++ /dev/null @@ -1,157 +0,0 @@ -# Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES. All rights reserved. -# -# NVIDIA CORPORATION and its licensors retain all intellectual property -# and proprietary rights in and to this software, related documentation -# and any modifications thereto. Any use, reproduction, disclosure or -# distribution of this software and related documentation without an express -# license agreement from NVIDIA CORPORATION is strictly prohibited. - -import glob -import hashlib -import importlib -import os -import re -import shutil -import uuid - -import torch -import torch.utils.cpp_extension -from torch.utils.file_baton import FileBaton - -#---------------------------------------------------------------------------- -# Global options. - -verbosity = 'brief' # Verbosity level: 'none', 'brief', 'full' - -#---------------------------------------------------------------------------- -# Internal helper funcs. - -def _find_compiler_bindir(): - patterns = [ - 'C:/Program Files*/Microsoft Visual Studio/*/Professional/VC/Tools/MSVC/*/bin/Hostx64/x64', - 'C:/Program Files*/Microsoft Visual Studio/*/BuildTools/VC/Tools/MSVC/*/bin/Hostx64/x64', - 'C:/Program Files*/Microsoft Visual Studio/*/Community/VC/Tools/MSVC/*/bin/Hostx64/x64', - 'C:/Program Files*/Microsoft Visual Studio */vc/bin', - ] - for pattern in patterns: - matches = sorted(glob.glob(pattern)) - if len(matches): - return matches[-1] - return None - -#---------------------------------------------------------------------------- - -def _get_mangled_gpu_name(): - name = torch.cuda.get_device_name().lower() - out = [] - for c in name: - if re.match('[a-z0-9_-]+', c): - out.append(c) - else: - out.append('-') - return ''.join(out) - -#---------------------------------------------------------------------------- -# Main entry point for compiling and loading C++/CUDA plugins. - -_cached_plugins = dict() - -def get_plugin(module_name, sources, headers=None, source_dir=None, **build_kwargs): - assert verbosity in ['none', 'brief', 'full'] - if headers is None: - headers = [] - if source_dir is not None: - sources = [os.path.join(source_dir, fname) for fname in sources] - headers = [os.path.join(source_dir, fname) for fname in headers] - - # Already cached? - if module_name in _cached_plugins: - return _cached_plugins[module_name] - - # Print status. - if verbosity == 'full': - print(f'Setting up PyTorch plugin "{module_name}"...') - elif verbosity == 'brief': - print(f'Setting up PyTorch plugin "{module_name}"... ', end='', flush=True) - verbose_build = (verbosity == 'full') - - # Compile and load. - try: # pylint: disable=too-many-nested-blocks - # Make sure we can find the necessary compiler binaries. - if os.name == 'nt' and os.system("where cl.exe >nul 2>nul") != 0: - compiler_bindir = _find_compiler_bindir() - if compiler_bindir is None: - raise RuntimeError(f'Could not find MSVC/GCC/CLANG installation on this computer. Check _find_compiler_bindir() in "{__file__}".') - os.environ['PATH'] += ';' + compiler_bindir - - # Some containers set TORCH_CUDA_ARCH_LIST to a list that can either - # break the build or unnecessarily restrict what's available to nvcc. - # Unset it to let nvcc decide based on what's available on the - # machine. - os.environ['TORCH_CUDA_ARCH_LIST'] = '' - - # Incremental build md5sum trickery. Copies all the input source files - # into a cached build directory under a combined md5 digest of the input - # source files. Copying is done only if the combined digest has changed. - # This keeps input file timestamps and filenames the same as in previous - # extension builds, allowing for fast incremental rebuilds. - # - # This optimization is done only in case all the source files reside in - # a single directory (just for simplicity) and if the TORCH_EXTENSIONS_DIR - # environment variable is set (we take this as a signal that the user - # actually cares about this.) - # - # EDIT: We now do it regardless of TORCH_EXTENSIOS_DIR, in order to work - # around the *.cu dependency bug in ninja config. - # - all_source_files = sorted(sources + headers) - all_source_dirs = set(os.path.dirname(fname) for fname in all_source_files) - if len(all_source_dirs) == 1: # and ('TORCH_EXTENSIONS_DIR' in os.environ): - - # Compute combined hash digest for all source files. - hash_md5 = hashlib.md5() - for src in all_source_files: - with open(src, 'rb') as f: - hash_md5.update(f.read()) - - # Select cached build directory name. - source_digest = hash_md5.hexdigest() - build_top_dir = torch.utils.cpp_extension._get_build_directory(module_name, verbose=verbose_build) # pylint: disable=protected-access - cached_build_dir = os.path.join(build_top_dir, f'{source_digest}-{_get_mangled_gpu_name()}') - - if not os.path.isdir(cached_build_dir): - tmpdir = f'{build_top_dir}/srctmp-{uuid.uuid4().hex}' - os.makedirs(tmpdir) - for src in all_source_files: - shutil.copyfile(src, os.path.join(tmpdir, os.path.basename(src))) - try: - os.replace(tmpdir, cached_build_dir) # atomic - except OSError: - # source directory already exists, delete tmpdir and its contents. - shutil.rmtree(tmpdir) - if not os.path.isdir(cached_build_dir): raise - - # Compile. - cached_sources = [os.path.join(cached_build_dir, os.path.basename(fname)) for fname in sources] - torch.utils.cpp_extension.load(name=module_name, build_directory=cached_build_dir, - verbose=verbose_build, sources=cached_sources, **build_kwargs) - else: - torch.utils.cpp_extension.load(name=module_name, verbose=verbose_build, sources=sources, **build_kwargs) - - # Load. - module = importlib.import_module(module_name) - - except: - if verbosity == 'brief': - print('Failed!') - raise - - # Print status and add to cache dict. - if verbosity == 'full': - print(f'Done setting up PyTorch plugin "{module_name}".') - elif verbosity == 'brief': - print('Done.') - _cached_plugins[module_name] = module - return module - -#---------------------------------------------------------------------------- diff --git a/spaces/ECCV2022/PSG/OpenPSG/configs/psgtr/psgtr_r101_psg.py b/spaces/ECCV2022/PSG/OpenPSG/configs/psgtr/psgtr_r101_psg.py deleted file mode 100644 index 916dc05998c72b83fb5c3221be10af3f5a7f7827..0000000000000000000000000000000000000000 --- a/spaces/ECCV2022/PSG/OpenPSG/configs/psgtr/psgtr_r101_psg.py +++ /dev/null @@ -1,231 +0,0 @@ -_base_ = [ - '../_base_/models/psgtr_r101.py', '../_base_/datasets/psg.py', - '../_base_/custom_runtime.py' -] - -custom_imports = dict(imports=[ - 'openpsg.models.frameworks.psgtr', 'openpsg.models.losses.seg_losses', - 'openpsg.models.relation_heads.psgtr_head', 'openpsg.datasets', - 'openpsg.datasets.pipelines.loading', - 'openpsg.datasets.pipelines.rel_randomcrop', - 'openpsg.models.relation_heads.approaches.matcher', 'openpsg.utils' -], - allow_failed_imports=False) - -dataset_type = 'PanopticSceneGraphDataset' - -# HACK: -object_classes = [ - 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', - 'truck', 'boat', 'traffic light', 'fire hydrant', 'stop sign', - 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', - 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', - 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', - 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', - 'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', - 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', - 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted plant', - 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', - 'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', 'sink', - 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear', - 'hair drier', 'toothbrush', 'banner', 'blanket', 'bridge', 'cardboard', - 'counter', 'curtain', 'door-stuff', 'floor-wood', 'flower', 'fruit', - 'gravel', 'house', 'light', 'mirror-stuff', 'net', 'pillow', 'platform', - 'playingfield', 'railroad', 'river', 'road', 'roof', 'sand', 'sea', - 'shelf', 'snow', 'stairs', 'tent', 'towel', 'wall-brick', 'wall-stone', - 'wall-tile', 'wall-wood', 'water-other', 'window-blind', 'window-other', - 'tree-merged', 'fence-merged', 'ceiling-merged', 'sky-other-merged', - 'cabinet-merged', 'table-merged', 'floor-other-merged', 'pavement-merged', - 'mountain-merged', 'grass-merged', 'dirt-merged', 'paper-merged', - 'food-other-merged', 'building-other-merged', 'rock-merged', - 'wall-other-merged', 'rug-merged' -] - -predicate_classes = [ - 'over', - 'in front of', - 'beside', - 'on', - 'in', - 'attached to', - 'hanging from', - 'on back of', - 'falling off', - 'going down', - 'painted on', - 'walking on', - 'running on', - 'crossing', - 'standing on', - 'lying on', - 'sitting on', - 'flying over', - 'jumping over', - 'jumping from', - 'wearing', - 'holding', - 'carrying', - 'looking at', - 'guiding', - 'kissing', - 'eating', - 'drinking', - 'feeding', - 'biting', - 'catching', - 'picking', - 'playing with', - 'chasing', - 'climbing', - 'cleaning', - 'playing', - 'touching', - 'pushing', - 'pulling', - 'opening', - 'cooking', - 'talking to', - 'throwing', - 'slicing', - 'driving', - 'riding', - 'parked on', - 'driving on', - 'about to hit', - 'kicking', - 'swinging', - 'entering', - 'exiting', - 'enclosing', - 'leaning on', -] - -model = dict(bbox_head=dict( - num_classes=len(object_classes), - num_relations=len(predicate_classes), - object_classes=object_classes, - predicate_classes=predicate_classes, - use_mask=True, - num_query=100, -), ) - -img_norm_cfg = dict(mean=[123.675, 116.28, 103.53], - std=[58.395, 57.12, 57.375], - to_rgb=True) -# train_pipeline, NOTE the img_scale and the Pad's size_divisor is different -# from the default setting in mmdet. -train_pipeline = [ - dict(type='LoadImageFromFile'), - dict(type='LoadPanopticSceneGraphAnnotations', - with_bbox=True, - with_rel=True, - with_mask=True, - with_seg=True), - dict(type='RandomFlip', flip_ratio=0.5), - dict( - type='AutoAugment', - policies=[ - [ - dict(type='Resize', - img_scale=[(480, 1333), (512, 1333), (544, 1333), - (576, 1333), (608, 1333), (640, 1333), - (672, 1333), (704, 1333), (736, 1333), - (768, 1333), (800, 1333)], - multiscale_mode='value', - keep_ratio=True) - ], - [ - dict(type='Resize', - img_scale=[(400, 1333), (500, 1333), (600, 1333)], - multiscale_mode='value', - keep_ratio=True), - dict(type='RelRandomCrop', - crop_type='absolute_range', - crop_size=(384, 600), - allow_negative_crop=False), # no empty relations - dict(type='Resize', - img_scale=[(480, 1333), (512, 1333), (544, 1333), - (576, 1333), (608, 1333), (640, 1333), - (672, 1333), (704, 1333), (736, 1333), - (768, 1333), (800, 1333)], - multiscale_mode='value', - override=True, - keep_ratio=True) - ] - ]), - dict(type='Normalize', **img_norm_cfg), - dict(type='Pad', size_divisor=1), - dict(type='RelsFormatBundle'), - dict(type='Collect', - keys=['img', 'gt_bboxes', 'gt_labels', 'gt_rels', 'gt_masks']) -] -# test_pipeline, NOTE the Pad's size_divisor is different from the default -# setting (size_divisor=32). While there is little effect on the performance -# whether we use the default setting or use size_divisor=1. -test_pipeline = [ - dict(type='LoadImageFromFile'), - # dict(type='LoadSceneGraphAnnotations', with_bbox=True, with_rel=True), - dict( - type='MultiScaleFlipAug', - img_scale=(1333, 800), - flip=False, - transforms=[ - dict(type='Resize', keep_ratio=True), - dict(type='RandomFlip'), - dict(type='Normalize', **img_norm_cfg), - dict(type='Pad', size_divisor=1), - dict(type='ImageToTensor', keys=['img']), - # dict(type='ToTensor', keys=['gt_bboxes', 'gt_labels']), - # dict(type='ToDataContainer', fields=(dict(key='gt_bboxes'), dict(key='gt_labels'))), - dict(type='Collect', keys=['img']), - ]) -] - -evaluation = dict( - interval=1, - metric='sgdet', - relation_mode=True, - classwise=True, - iou_thrs=0.5, - detection_method='pan_seg', -) - -data = dict(samples_per_gpu=1, - workers_per_gpu=2, - train=dict(pipeline=train_pipeline), - val=dict(pipeline=test_pipeline), - test=dict(pipeline=test_pipeline)) -# optimizer -optimizer = dict( - type='AdamW', - lr=0.0001, - weight_decay=0.0001, - paramwise_cfg=dict(custom_keys={ - 'backbone': dict(lr_mult=0.1, decay_mult=1.0), - })) -optimizer_config = dict(grad_clip=dict(max_norm=0.1, norm_type=2)) - -# learning policy -lr_config = dict(policy='step', step=40) -runner = dict(type='EpochBasedRunner', max_epochs=60) - -project_name = 'psgtr' -expt_name = 'psgtr_r101_psg' -work_dir = f'./work_dirs/{expt_name}' -checkpoint_config = dict(interval=2, max_keep_ckpts=10) - -log_config = dict( - interval=50, - hooks=[ - dict(type='TextLoggerHook'), - dict( - type='WandbLoggerHook', - init_kwargs=dict( - project=project_name, - name=expt_name, - ), - ) - ], -) - -load_from = 'work_dirs/checkpoints/detr_pan_r101.pth' diff --git a/spaces/ElainaFanBoy/IRONY-Real-ESRGAN/realesrgan/archs/discriminator_arch.py b/spaces/ElainaFanBoy/IRONY-Real-ESRGAN/realesrgan/archs/discriminator_arch.py deleted file mode 100644 index 4b66ab1226d6793de846bc9828bbe427031a0e2d..0000000000000000000000000000000000000000 --- a/spaces/ElainaFanBoy/IRONY-Real-ESRGAN/realesrgan/archs/discriminator_arch.py +++ /dev/null @@ -1,67 +0,0 @@ -from basicsr.utils.registry import ARCH_REGISTRY -from torch import nn as nn -from torch.nn import functional as F -from torch.nn.utils import spectral_norm - - -@ARCH_REGISTRY.register() -class UNetDiscriminatorSN(nn.Module): - """Defines a U-Net discriminator with spectral normalization (SN) - - It is used in Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data. - - Arg: - num_in_ch (int): Channel number of inputs. Default: 3. - num_feat (int): Channel number of base intermediate features. Default: 64. - skip_connection (bool): Whether to use skip connections between U-Net. Default: True. - """ - - def __init__(self, num_in_ch, num_feat=64, skip_connection=True): - super(UNetDiscriminatorSN, self).__init__() - self.skip_connection = skip_connection - norm = spectral_norm - # the first convolution - self.conv0 = nn.Conv2d(num_in_ch, num_feat, kernel_size=3, stride=1, padding=1) - # downsample - self.conv1 = norm(nn.Conv2d(num_feat, num_feat * 2, 4, 2, 1, bias=False)) - self.conv2 = norm(nn.Conv2d(num_feat * 2, num_feat * 4, 4, 2, 1, bias=False)) - self.conv3 = norm(nn.Conv2d(num_feat * 4, num_feat * 8, 4, 2, 1, bias=False)) - # upsample - self.conv4 = norm(nn.Conv2d(num_feat * 8, num_feat * 4, 3, 1, 1, bias=False)) - self.conv5 = norm(nn.Conv2d(num_feat * 4, num_feat * 2, 3, 1, 1, bias=False)) - self.conv6 = norm(nn.Conv2d(num_feat * 2, num_feat, 3, 1, 1, bias=False)) - # extra convolutions - self.conv7 = norm(nn.Conv2d(num_feat, num_feat, 3, 1, 1, bias=False)) - self.conv8 = norm(nn.Conv2d(num_feat, num_feat, 3, 1, 1, bias=False)) - self.conv9 = nn.Conv2d(num_feat, 1, 3, 1, 1) - - def forward(self, x): - # downsample - x0 = F.leaky_relu(self.conv0(x), negative_slope=0.2, inplace=True) - x1 = F.leaky_relu(self.conv1(x0), negative_slope=0.2, inplace=True) - x2 = F.leaky_relu(self.conv2(x1), negative_slope=0.2, inplace=True) - x3 = F.leaky_relu(self.conv3(x2), negative_slope=0.2, inplace=True) - - # upsample - x3 = F.interpolate(x3, scale_factor=2, mode='bilinear', align_corners=False) - x4 = F.leaky_relu(self.conv4(x3), negative_slope=0.2, inplace=True) - - if self.skip_connection: - x4 = x4 + x2 - x4 = F.interpolate(x4, scale_factor=2, mode='bilinear', align_corners=False) - x5 = F.leaky_relu(self.conv5(x4), negative_slope=0.2, inplace=True) - - if self.skip_connection: - x5 = x5 + x1 - x5 = F.interpolate(x5, scale_factor=2, mode='bilinear', align_corners=False) - x6 = F.leaky_relu(self.conv6(x5), negative_slope=0.2, inplace=True) - - if self.skip_connection: - x6 = x6 + x0 - - # extra convolutions - out = F.leaky_relu(self.conv7(x6), negative_slope=0.2, inplace=True) - out = F.leaky_relu(self.conv8(out), negative_slope=0.2, inplace=True) - out = self.conv9(out) - - return out diff --git a/spaces/FelixLuoX/codeformer/CodeFormer/facelib/detection/yolov5face/__init__.py b/spaces/FelixLuoX/codeformer/CodeFormer/facelib/detection/yolov5face/__init__.py deleted file mode 100644 index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000 diff --git a/spaces/FelixLuoX/codeformer/CodeFormer/facelib/detection/yolov5face/utils/datasets.py b/spaces/FelixLuoX/codeformer/CodeFormer/facelib/detection/yolov5face/utils/datasets.py deleted file mode 100644 index e672b136f56fd6b05038e24377908361a54fe519..0000000000000000000000000000000000000000 --- a/spaces/FelixLuoX/codeformer/CodeFormer/facelib/detection/yolov5face/utils/datasets.py +++ /dev/null @@ -1,35 +0,0 @@ -import cv2 -import numpy as np - - -def letterbox(img, new_shape=(640, 640), color=(114, 114, 114), auto=True, scale_fill=False, scaleup=True): - # Resize image to a 32-pixel-multiple rectangle https://github.com/ultralytics/yolov3/issues/232 - shape = img.shape[:2] # current shape [height, width] - if isinstance(new_shape, int): - new_shape = (new_shape, new_shape) - - # Scale ratio (new / old) - r = min(new_shape[0] / shape[0], new_shape[1] / shape[1]) - if not scaleup: # only scale down, do not scale up (for better test mAP) - r = min(r, 1.0) - - # Compute padding - ratio = r, r # width, height ratios - new_unpad = int(round(shape[1] * r)), int(round(shape[0] * r)) - dw, dh = new_shape[1] - new_unpad[0], new_shape[0] - new_unpad[1] # wh padding - if auto: # minimum rectangle - dw, dh = np.mod(dw, 64), np.mod(dh, 64) # wh padding - elif scale_fill: # stretch - dw, dh = 0.0, 0.0 - new_unpad = (new_shape[1], new_shape[0]) - ratio = new_shape[1] / shape[1], new_shape[0] / shape[0] # width, height ratios - - dw /= 2 # divide padding into 2 sides - dh /= 2 - - if shape[::-1] != new_unpad: # resize - img = cv2.resize(img, new_unpad, interpolation=cv2.INTER_LINEAR) - top, bottom = int(round(dh - 0.1)), int(round(dh + 0.1)) - left, right = int(round(dw - 0.1)), int(round(dw + 0.1)) - img = cv2.copyMakeBorder(img, top, bottom, left, right, cv2.BORDER_CONSTANT, value=color) # add border - return img, ratio, (dw, dh) diff --git a/spaces/Felladrin/LaMini-Flan-T5-248M-Candle-Wasm/T5ModelEncoderWorker.js b/spaces/Felladrin/LaMini-Flan-T5-248M-Candle-Wasm/T5ModelEncoderWorker.js deleted file mode 100644 index bbd23b97c49df020176c70429b4edb960211affa..0000000000000000000000000000000000000000 --- a/spaces/Felladrin/LaMini-Flan-T5-248M-Candle-Wasm/T5ModelEncoderWorker.js +++ /dev/null @@ -1,83 +0,0 @@ -//load Candle Bert Module wasm module -let init, ModelEncoder; - -async function fetchArrayBuffer(url) { - const cacheName = "t5-candle-cache"; - const cache = await caches.open(cacheName); - const cachedResponse = await cache.match(url); - if (cachedResponse) { - const data = await cachedResponse.arrayBuffer(); - return new Uint8Array(data); - } - const res = await fetch(url, { cache: "force-cache" }); - cache.put(url, res.clone()); - return new Uint8Array(await res.arrayBuffer()); -} -class Encoder { - static instance = {}; - - static async getInstance(weightsURL, tokenizerURL, configURL, modelID) { - if (modelID.includes("-candle-q")) { - ({ default: init, ModelEncoder } = await import( - "./build/m-quantized.js" - )); - } else { - ({ default: init, ModelEncoder } = await import("./build/m.js")); - } - if (!this.instance[modelID]) { - await init(); - - self.postMessage({ status: "loading", message: "Loading Model" }); - const [weightsArrayU8, tokenizerArrayU8, configArrayU8] = - await Promise.all([ - fetchArrayBuffer(weightsURL), - fetchArrayBuffer(tokenizerURL), - fetchArrayBuffer(configURL), - ]); - - this.instance[modelID] = new ModelEncoder( - weightsArrayU8, - tokenizerArrayU8, - configArrayU8 - ); - } else { - self.postMessage({ status: "ready", message: "Model Already Loaded" }); - } - return this.instance[modelID]; - } -} - -self.addEventListener("message", async (event) => { - const { - weightsURL, - tokenizerURL, - configURL, - modelID, - sentences, - normalize_embeddings, - } = event.data; - try { - self.postMessage({ status: "ready", message: "Starting T5 Encoder" }); - const model = await Encoder.getInstance( - weightsURL, - tokenizerURL, - configURL, - modelID - ); - self.postMessage({ - status: "encoding", - message: "Encoding Sentences", - }); - const output = model.decode({ - sentences: sentences, - normalize_embeddings: normalize_embeddings || true, - }); - self.postMessage({ - status: "complete", - message: "complete", - output: output, - }); - } catch (e) { - self.postMessage({ error: e }); - } -}); diff --git a/spaces/Felladrin/Web-LLM-Mistral-7B-OpenOrca/dist/index.bd4d70df.js b/spaces/Felladrin/Web-LLM-Mistral-7B-OpenOrca/dist/index.bd4d70df.js deleted file mode 100644 index 9d2aa733d6e6399ea4e24ee906814a86ea68aa56..0000000000000000000000000000000000000000 --- a/spaces/Felladrin/Web-LLM-Mistral-7B-OpenOrca/dist/index.bd4d70df.js +++ /dev/null @@ -1,1292 +0,0 @@ -let A,Q;var B,g,I,C,E,D,w=globalThis,o={},N={},i=w.parcelRequireba71;null==i&&((i=function(A){if(A in o)return o[A].exports;if(A in N){var Q=N[A];delete N[A];var B={id:A,exports:{}};return o[A]=B,Q.call(B.exports,B,B.exports),B.exports}var g=Error("Cannot find module '"+A+"'");throw g.code="MODULE_NOT_FOUND",g}).register=function(A,Q){N[A]=Q},w.parcelRequireba71=i);var G=i.register;G("g3AIT",function(A,Q){var B=i("iuZoh");function g(){this.protocol=null,this.slashes=null,this.auth=null,this.host=null,this.port=null,this.hostname=null,this.hash=null,this.search=null,this.query=null,this.pathname=null,this.path=null,this.href=null}// Reference: RFC 3986, RFC 1808, RFC 2396 -/* - 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* Load raw bytes from ptr. - * @param ptr The head address - * @param numBytes The number - */loadRawBytes(A,Q){this.buffer!=this.memory.buffer&&this.updateViews();let B=new Uint8Array(Q);return B.set(this.viewU8.slice(A,A+Q)),B}/** - * Load TVMByteArray from ptr. - * - * @param ptr The address of the header. - */loadTVMBytes(A){let Q=this.loadPointer(A),B=this.loadUSize(A+this.sizeofPtr());return this.loadRawBytes(Q,B)}/** - * Load null-terminated C-string from ptr. - * @param ptr The head address - */loadCString(A){this.buffer!=this.memory.buffer&&this.updateViews();// NOTE: the views are still valid for read. -let Q=[],B=1;for(;0!=B;)0!=(B=this.viewU8[A])&&Q.push(String.fromCharCode(B)),++A;return Q.join("")}/** - * Store raw bytes to the ptr. - * @param ptr The head address. - * @param bytes The bytes content. - */storeRawBytes(A,Q){this.buffer!=this.memory.buffer&&this.updateViews(),this.viewU8.set(Q,A)}/** - * Update memory view after the memory growth. - */updateViews(){this.buffer=this.memory.buffer,this.viewU8=new Uint8Array(this.buffer),this.viewU16=new Uint16Array(this.buffer),this.viewI32=new Int32Array(this.buffer),this.viewU32=new Uint32Array(this.buffer),this.viewF32=new Float32Array(this.buffer),this.viewF64=new Float64Array(this.buffer)}}/** - * Auxiliary call stack for the FFI calls. - * - * Lifecyle of a call stack. - * - Calls into allocXX to allocate space, mixed with storeXXX to store data. - * - Calls into ptrFromOffset, no further allocation(as ptrFromOffset can change), - * can still call into storeXX - * - Calls into commitToWasmMemory once. - * - reset. - */class U{constructor(A,Q,B){/** List of temporay arguments that can be disposed during reset. */this.tempArgs=[],this.stackTop=0,this.basePtr=0,this.addressToSetTargetValue=[],this.memory=A,this.cAllocSpace=Q,this.cFreeSpace=B,this.buffer=new ArrayBuffer(128),this.basePtr=this.cAllocSpace(128),this.viewU8=new Uint8Array(this.buffer),this.viewI32=new Int32Array(this.buffer),this.viewU32=new Uint32Array(this.buffer),this.viewF64=new Float64Array(this.buffer),this.updateViews()}dispose(){0!=this.basePtr&&(this.cFreeSpace(this.basePtr),this.basePtr=0)}/** - * Rest the call stack so that it can be reused again. - */reset(){for(this.stackTop=0,G(0===this.addressToSetTargetValue.length);0!=this.tempArgs.length;)this.tempArgs.pop().dispose()}/** - * Commit all the cached data to WasmMemory. - * This function can only be called once. - * No further store function should be called. - * - * @param nbytes Number of bytes to be stored. - */commitToWasmMemory(A=this.stackTop){// commit all pointer values. -for(;0!=this.addressToSetTargetValue.length;){let[A,Q]=this.addressToSetTargetValue.pop();this.storePtr(A,this.ptrFromOffset(Q))}this.memory.storeRawBytes(this.basePtr,this.viewU8.slice(0,A))}/** - * Allocate space by number of bytes - * @param nbytes Number of bytes. - * @note This function always allocate space that aligns to 64bit. - */allocRawBytes(A){if(// always aligns to 64bit -A=A+7>>3<<3,this.stackTop+A>this.buffer.byteLength){let Q=Math.max(2*this.buffer.byteLength,this.stackTop+A),B=this.viewU8;this.buffer=new ArrayBuffer(Q),this.updateViews(),this.viewU8.set(B),0!=this.basePtr&&this.cFreeSpace(this.basePtr),this.basePtr=this.cAllocSpace(Q)}let Q=this.stackTop;return this.stackTop+=A,Q}/** - * Allocate space for pointers. - * @param count Number of pointers. - * @returns The allocated pointer array. - */allocPtrArray(A){return this.allocRawBytes(this.memory.sizeofPtr()*A)}/** - * Get the real pointer from offset values. - * Note that the returned value becomes obsolete if alloc is called on the stack. - * @param offset The allocated offset. - */ptrFromOffset(A){return this.basePtr+A}// Store APIs -storePtr(A,Q){this.memory.wasm32?this.storeU32(A,Q):this.storeI64(A,Q)}storeUSize(A,Q){this.memory.wasm32?this.storeU32(A,Q):this.storeI64(A,Q)}storeI32(A,Q){this.viewI32[A>>2]=Q}storeU32(A,Q){this.viewU32[A>>2]=Q}storeI64(A,Q){let B=A>>2;this.viewI32[B]=4294967295&Q,// sign extend -this.viewI32[B+1]=Q<0?-1:0}storeF64(A,Q){this.viewF64[A>>3]=Q}storeRawBytes(A,Q){this.viewU8.set(Q,A)}/** - * Allocate then set C-String pointer to the offset. - * This function will call into allocBytes to allocate necessary data. - * The address won't be set immediately(because the possible change of basePtr) - * and will be filled when we commit the data. - * - * @param offset The offset to set ot data pointer. - * @param data The string content. - */allocThenSetArgString(A,Q){let B=this.allocRawBytes(Q.length+1);this.storeRawBytes(B,N(Q)),this.addressToSetTargetValue.push([A,B])}/** - * Allocate then set the argument location with a TVMByteArray. - * Allocate new temporary space for bytes. - * - * @param offset The offset to set ot data pointer. - * @param data The string content. - */allocThenSetArgBytes(A,Q){// Note: size of size_t equals sizeof ptr. -let B=this.allocRawBytes(2*this.memory.sizeofPtr()),g=this.allocRawBytes(Q.length);this.storeRawBytes(g,Q),this.storeUSize(B+this.memory.sizeofPtr(),Q.length),this.addressToSetTargetValue.push([A,B]),this.addressToSetTargetValue.push([B,g])}/** - * Update internal cache views. - */updateViews(){this.viewU8=new Uint8Array(this.buffer),this.viewI32=new Int32Array(this.buffer),this.viewU32=new Uint32Array(this.buffer),this.viewF64=new Float64Array(this.buffer)}}/** - * Environment to impelement most of the JS library functions. - */class s{constructor(A={},Q=console.log){/** - * Maintains a table of FTVMWasmPackedCFunc that the C part - * can call via TVMWasmPackedCFunc. - * - * We maintain a separate table so that we can have un-limited amount - * of functions that do not maps to the address space. - */this.packedCFuncTable=[void 0],/** - * Free table index that can be recycled. - */this.packedCFuncTableFreeId=[],this.logger=Q,this.libProvider=A.wasmLibraryProvider&&A.wasmLibraryProvider.start&&void 0!==A.wasmLibraryProvider.imports?{imports:A.wasmLibraryProvider.imports,start:Q=>{A.wasmLibraryProvider.start(Q)}}:A.imports&&void 0!==A.start?A:A.wasiImport&&void 0!==A.start?{imports:{wasi_snapshot_preview1:A.wasiImport},start:Q=>{A.start(Q)}}:void 0,void 0!==this.libProvider?this.imports=this.libProvider.imports:this.imports=A,// update with more functions -this.imports.env=this.environment(this.imports.env)}/** Mark the start of the instance. */start(A){void 0!==this.libProvider&&this.libProvider.start(A)}environment(A){return Object.assign({__cxa_thread_atexit:()=>{},// eslint-disable-next-line @typescript-eslint/no-unused-vars -emscripten_notify_memory_growth:A=>{}},A,{TVMWasmPackedCFunc:(A,Q,B,g,I)=>{let C=this.packedCFuncTable[I];return G(void 0!==C),C(A,Q,B,g,I)},TVMWasmPackedCFuncFinalizer:A=>{this.packedCFuncTable[A]=void 0,this.packedCFuncTableFreeId.push(A)},__console_log:A=>{this.logger(A)}})}}/** - * DetectGPU device in the environment. - */function k(){return o(this,void 0,void 0,function*(){if("undefined"!=typeof navigator&&void 0!==navigator.gpu){let A=yield navigator.gpu.requestAdapter({powerPreference:"high-performance"});if(null==A)throw Error("Cannot find adapter that matches the request");let Q=A=>Math.ceil(A/1048576)+"MB";if(1073741824>A.limits.maxBufferSize)throw Error(`Cannot initialize runtime because of requested maxBufferSize exceeds limit. requested=${Q(1073741824)}, limit=${Q(A.limits.maxBufferSize)}. This error may be caused by an older version of the browser (e.g. Chrome 112). You can try to upgrade your browser to Chrome 113 or later.`);if(1073741824>A.limits.maxStorageBufferBindingSize)throw Error(`Cannot initialize runtime because of requested maxStorageBufferBindingSize exceeds limit. requested=${Q(1073741824)}, limit=${Q(A.limits.maxStorageBufferBindingSize)}. `);if(32768>A.limits.maxComputeWorkgroupStorageSize)throw Error(`Cannot initialize runtime because of requested maxComputeWorkgroupStorageSize exceeds limit. requested=32768, limit=${A.limits.maxComputeWorkgroupStorageSize}. `);let B=[];// Always require f16 if available -A.features.has("shader-f16")&&B.push("shader-f16");let g=yield A.requestAdapterInfo(),I=yield A.requestDevice({requiredLimits:{maxBufferSize:1073741824,maxStorageBufferBindingSize:1073741824,maxComputeWorkgroupStorageSize:32768},requiredFeatures:B});return{adapter:A,adapterInfo:g,device:I}}})}let R=` -@group(0) @binding(0) var my_sampler : sampler; -@group(0) @binding(1) var my_texture : texture_2d; - -struct VertexOutput { - @builtin(position) position : vec4, - @location(0) uv : vec2, -} - -@vertex -fn vertex_main(@builtin(vertex_index) vidx : u32) -> VertexOutput { - const pos = array( - vec2( 1.0, 1.0), - vec2( 1.0, -1.0), - vec2(-1.0, -1.0), - vec2( 1.0, 1.0), - vec2(-1.0, -1.0), - vec2(-1.0, 1.0), - ); - - const uv = array( - vec2(1.0, 0.0), - vec2(1.0, 1.0), - vec2(0.0, 1.0), - vec2(1.0, 0.0), - vec2(0.0, 1.0), - vec2(0.0, 0.0), - ); - - var output : VertexOutput; - output.position = vec4(pos[vidx], 0.0, 1.0); - output.uv = uv[vidx]; - return output; -} - -@fragment -fn fragment_main(@location(0) uv : vec2) -> @location(0) vec4 { - return textureSample(my_texture, my_sampler, uv); -} - -@fragment -fn fragment_clear(@location(0) uv : vec2) -> @location(0) vec4 { - return vec4(1.0, 1.0, 1.0, 1.0); -} -`;class y{constructor(A,Q){this.device=A;let B=Q.getContext("webgpu");if(null==B)throw Error("Cannot bind WebGPU context");// avoid possible ts complain 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-this.stagingTexture=A.createTexture({size:[Q.height,Q.width,1],format:"rgba8unorm",usage:GPUTextureUsage.TEXTURE_BINDING|GPUTextureUsage.COPY_DST|GPUTextureUsage.RENDER_ATTACHMENT})}clear(){let A=this.device.createCommandEncoder(),Q=A.beginRenderPass({colorAttachments:[{view:this.canvasContext.getCurrentTexture().createView(),clearValue:{r:0,g:0,b:0,a:1},loadOp:"clear",storeOp:"store"}]});Q.setPipeline(this.clearPipeline);let B=this.device.createBindGroup({layout:this.renderPipeline.getBindGroupLayout(0),entries:[{binding:0,resource:this.renderSampler},{binding:1,resource:this.stagingTexture.createView()}]});Q.setBindGroup(0,B),Q.draw(6,1,0,0),Q.end(),this.device.queue.submit([A.finish()])}draw(A,Q,B){(Q!=this.stagingTexture.height||B!=this.stagingTexture.width)&&(this.stagingTexture.destroy(),this.stagingTexture=this.device.createTexture({size:[Q,B,1],format:"rgba8unorm",usage:GPUTextureUsage.TEXTURE_BINDING|GPUTextureUsage.COPY_DST|GPUTextureUsage.RENDER_ATTACHMENT}));let g=this.device.createCommandEncoder();g.copyBufferToTexture({buffer:A,offset:0,bytesPerRow:4*this.stagingTexture.width},{texture:this.stagingTexture},{width:this.stagingTexture.width,height:this.stagingTexture.height});let I=g.beginRenderPass({colorAttachments:[{view:this.canvasContext.getCurrentTexture().createView(),clearValue:{r:0,g:0,b:0,a:1},loadOp:"clear",storeOp:"store"}]});I.setPipeline(this.renderPipeline);let C=this.device.createBindGroup({layout:this.renderPipeline.getBindGroupLayout(0),entries:[{binding:0,resource:this.renderSampler},{binding:1,resource:this.stagingTexture.createView()}]});I.setBindGroup(0,C),I.draw(6,1,0,0),I.end(),this.device.queue.submit([g.finish()])}dispose(){this.stagingTexture.destroy()}}/** - * WebGPU context - * Manages all the webgpu resources here. - */class K{constructor(A,Q){// internal data -this.bufferTable=[void 0],this.bufferTableFreeId=[],this.podArgStagingBuffers=[],this.canvasRenderManager=void 0,// number of pod arg staging buffers -this.maxNumPodArgsStagingBuffers=2,// flags for debugging -// stats of the runtime. -// peak allocation -this.peakAllocatedBytes=0,// current allocation -this.currAllocatedBytes=0,// all allocation(ignoring free) -this.allAllocatedBytes=0,// shader submit counter -this.shaderSubmitCounter=0,// limite number of shaders to be submitted, useful for debugging, default to -1 -this.debugShaderSubmitLimit=-1,// log and sync each step -this.debugLogFinish=!1,this.memory=A,this.device=Q}/** - * Dispose context. - */dispose(){var A,Q,B;for(null===(A=this.canvasRenderManager)||void 0===A||A.dispose(),this.bufferTableFreeId=[];0!=this.bufferTable.length;)null===(Q=this.bufferTable.pop())||void 0===Q||Q.destroy();for(;0!=this.podArgStagingBuffers.length;)null===(B=this.podArgStagingBuffers.pop())||void 0===B||B.destroy();this.device.destroy()}/** - * Wait for all pending GPU tasks to complete - */sync(){return o(this,void 0,void 0,function*(){yield this.device.queue.onSubmittedWorkDone()})}/** - * Obtain the runtime information in readable format. - */runtimeStatsText(){return"peak-memory="+Math.ceil(this.peakAllocatedBytes/1048576)+" MB"+(", all-memory="+Math.ceil(this.allAllocatedBytes/1048576)+" MB, shader-submissions=")+this.shaderSubmitCounter}/** - * Draw image from data in storage buffer. - * @param ptr The GPU ptr - * @param height The height of the image. - * @param width The width of the image. - */drawImageFromBuffer(A,Q,B){if(void 0==this.canvasRenderManager)throw Error("Do not have a canvas context, call bindCanvas first");this.canvasRenderManager.draw(this.gpuBufferFromPtr(A),Q,B)}/** - * Copy raw bytes into buffer ptr. - * - * @param rawBytes The raw bytes - * @param toPtr The target gpu buffer ptr - * @param toOffset The beginning offset - * @param nbytes Number of bytes - */copyRawBytesToBuffer(A,Q,B,g){// Perhaps it would be more useful to use a staging buffer? -this.device.queue.writeBuffer(this.gpuBufferFromPtr(Q),B,A,0,g)}/** - * Clear canvas - */clearCanvas(){var A;null===(A=this.canvasRenderManager)||void 0===A||A.clear()}/** - * Bind a canvas element to the runtime. - * @param canvas The HTML canvas/ - */bindCanvas(A){this.canvasRenderManager=new y(this.device,A)}/** - * Create a PackedFunc that runs the given shader - * via createComputePipeline - * - * @param info The function information already parsed as a record. - * @param code The shader data(in WGSL) - * @returns The shader - */createShader(A,Q){return this.createShadeInternal(A,Q,!1)}/** - * Create a PackedFunc that runs the given shader asynchronously - * via createComputePipelineAsync - * - * @param info The function information already parsed as a record. - * @param code The shader data(in WGSL) - * @returns The shader - */createShaderAsync(A,Q){return o(this,void 0,void 0,function*(){return yield this.createShadeInternal(A,Q,!0)})}/** - * Get the pod arg staging buffer - * \param nbytes The minimum size. - * \return The allocated buffer - 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shader"+A.name)})}this.shaderSubmitCounter+=1},i=this.device.createShaderModule({code:Q,hints:{main:{layout:o}}});if(B)return this.device.createComputePipelineAsync({layout:o,compute:{module:i,entryPoint:A.name}}).then(A=>N(A));{let Q=this.device.createComputePipeline({layout:o,compute:{module:i,entryPoint:A.name}});return N(Q)}}/** - * Get the device API according to its name - * @param The name of the API. - * @returns The corresponding device api. - */getDeviceAPI(A){if("deviceAllocDataSpace"==A)return A=>this.deviceAllocDataSpace(A);if("deviceFreeDataSpace"==A)return A=>this.deviceFreeDataSpace(A);if("deviceCopyToGPU"==A)return(A,Q,B,g)=>{this.deviceCopyToGPU(A,Q,B,g)};if("deviceCopyFromGPU"==A)return(A,Q,B,g)=>{this.deviceCopyFromGPU(A,Q,B,g)};if("deviceCopyWithinGPU"==A)return(A,Q,B,g,I)=>{this.deviceCopyWithinGPU(A,Q,B,g,I)};throw Error("Unknown DeviceAPI function "+A)}// DeviceAPI -deviceAllocDataSpace(A){0==A&&(A=1);let Q=this.device.createBuffer({size:A,usage:GPUBufferUsage.STORAGE|GPUBufferUsage.COPY_SRC|GPUBufferUsage.COPY_DST});this.currAllocatedBytes+=A,this.allAllocatedBytes+=A,this.currAllocatedBytes>this.peakAllocatedBytes&&(this.peakAllocatedBytes=this.currAllocatedBytes);let B=this.attachToBufferTable(Q);return B}deviceFreeDataSpace(A){let Q=this.bufferTable[A];this.bufferTable[A]=void 0,G(void 0!==Q),this.bufferTableFreeId.push(A),this.currAllocatedBytes-=Q.size,Q.destroy()}deviceCopyToGPU(A,Q,B,g){// Perhaps it would be more useful to use a staging buffer? -let I=this.memory.loadRawBytes(A,g);this.device.queue.writeBuffer(this.gpuBufferFromPtr(Q),B,I,0,g)}deviceCopyFromGPU(A,Q,B,g){// Perhaps it would be more useful to resuse a staging buffer? -let I=this.device.createBuffer({size:g,usage:GPUBufferUsage.MAP_READ|GPUBufferUsage.COPY_DST}),C=this.device.createCommandEncoder();C.copyBufferToBuffer(this.gpuBufferFromPtr(A),Q,I,0,g);let 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s.instantiateWasm(g,E)}catch(A){return O("Module.instantiateWasm callback failed with error: "+A),!1}A=I,Q=i,B=function(A){E(A.instance)},A||"function"!=typeof WebAssembly.instantiateStreaming||b(Q)||V(Q)||a||"function"!=typeof fetch?X(Q,g,B):fetch(Q,{credentials:"same-origin"}).then(function(A){return WebAssembly.instantiateStreaming(A,g).then(B,function(A){return O("wasm streaming compile failed: "+A),O("falling back to ArrayBuffer 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7runtime15EnvCheckSignalsEv=function(){return(s.__ZN3tvm7runtime15EnvCheckSignalsEv=s.asm._ZN3tvm7runtime15EnvCheckSignalsEv).apply(null,arguments)},s._TVMFuncRegisterGlobal=function(){return(s._TVMFuncRegisterGlobal=s.asm.TVMFuncRegisterGlobal).apply(null,arguments)},s._TVMFuncGetGlobal=function(){return(s._TVMFuncGetGlobal=s.asm.TVMFuncGetGlobal).apply(null,arguments)},s._TVMFuncListGlobalNames=function(){return(s._TVMFuncListGlobalNames=s.asm.TVMFuncListGlobalNames).apply(null,arguments)},s._TVMFuncRemoveGlobal=function(){return(s._TVMFuncRemoveGlobal=s.asm.TVMFuncRemoveGlobal).apply(null,arguments)},s._TVMBackendRegisterEnvCAPI=function(){return(s._TVMBackendRegisterEnvCAPI=s.asm.TVMBackendRegisterEnvCAPI).apply(null,arguments)},s._TVMBackendRegisterSystemLibSymbol=function(){return(s._TVMBackendRegisterSystemLibSymbol=s.asm.TVMBackendRegisterSystemLibSymbol).apply(null,arguments)},s._TVMBackendAnyListSetPackedArg=function(){return(s._TVMBackendAnyListSetPackedArg=s.asm.TVMBackendAnyListSetPackedArg).apply(null,arguments)},s._TVMBackendAnyListResetItem=function(){return(s._TVMBackendAnyListResetItem=s.asm.TVMBackendAnyListResetItem).apply(null,arguments)},s._TVMBackendAnyListMoveFromPackedReturn=function(){return(s._TVMBackendAnyListMoveFromPackedReturn=s.asm.TVMBackendAnyListMoveFromPackedReturn).apply(null,arguments)},s.__ZN3tvm7runtime6detail12LogFatalImplERKNSt3__212basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEEiSA_=function(){return(s.__ZN3tvm7runtime6detail12LogFatalImplERKNSt3__212basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEEiSA_=s.asm._ZN3tvm7runtime6detail12LogFatalImplERKNSt3__212basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEEiSA_).apply(null,arguments)},s.__ZN3tvm7runtime6detail14LogMessageImplERKNSt3__212basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEEiiSA_=function(){return(s.__ZN3tvm7runtime6detail14LogMessageImplERKNSt3__212basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEEiiSA_=s.asm._ZN3tvm7runtime6detail14LogMessageImplERKNSt3__212basic_stringIcNS2_11char_traitsIcEENS2_9allocatorIcEEEEiiSA_).apply(null,arguments)},s._TVMWasmAllocSpace=function(){return(s._TVMWasmAllocSpace=s.asm.TVMWasmAllocSpace).apply(null,arguments)},s._TVMWasmFreeSpace=function(){return(s._TVMWasmFreeSpace=s.asm.TVMWasmFreeSpace).apply(null,arguments)},s._TVMWasmFuncCreateFromCFunc=function(){return(s._TVMWasmFuncCreateFromCFunc=s.asm.TVMWasmFuncCreateFromCFunc).apply(null,arguments)};var AG=s.__initialize=function(){return(AG=s.__initialize=s.asm._initialize).apply(null,arguments)};function AY(A=y){!(T>0)&&(function(){if(s.preRun)for("function"==typeof s.preRun&&(s.preRun=[s.preRun]);s.preRun.length;){var A;A=s.preRun.shift(),p.unshift(A)}$(p)}(),T>0||(s.setStatus?(s.setStatus("Running..."),setTimeout(function(){setTimeout(function(){s.setStatus("")},1),Q()},1)):Q()));function Q(){!U&&(U=!0,s.calledRun=!0,f||(s.noFSInit||AC.init.initialized||AC.init(),AC.ignorePermissions=!1,$(d),$(z),s.onRuntimeInitialized&&s.onRuntimeInitialized(),AF&&function(A=[]){var Q=AG;try{Q(),E=0,Ao(0)}catch(A){return function(A){if(A instanceof _||"unwind"==A)return E;L(1,A)}(A)}}(A),function(){if(s.postRun)for("function"==typeof s.postRun&&(s.postRun=[s.postRun]);s.postRun.length;){var A;A=s.postRun.shift(),x.unshift(A)}$(x)}()))}}if(P=function A(){U||AY(),U||(P=A)},s.preInit)for("function"==typeof s.preInit&&(s.preInit=[s.preInit]);s.preInit.length>0;)s.preInit.pop()();var AF=!0;s.noInitialRun&&(AF=!1),AY(),this.Module=s,this.start=s.wasmLibraryProvider.start,this.imports=s.wasmLibraryProvider.imports,this.wasiImport=this.imports.wasi_snapshot_preview1}/** - * Get performance measurement. - */function c(){if("undefined"!=typeof performance)return performance;{// eslint-disable-next-line @typescript-eslint/no-var-requires -let A=Y&&Y.__esModule?Y.default:Y;return A.performance}}/* - * Licensed to the Apache Software Foundation (ASF) under one - * or more contributor license agreements. See the NOTICE file - * distributed with this work for additional information - * regarding copyright ownership. The ASF licenses this file - * to you under the Apache License, Version 2.0 (the - * "License"); you may not use this file except in compliance - * with the License. You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, - * software distributed under the License is distributed on an - * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY - * KIND, either express or implied. See the License for the - * specific language governing permissions and limitations - * under the License. - *//** - * @internal - * FFI Library wrapper, maintains most runtime states. - */class J{constructor(A,Q){this.recycledCallStacks=[],this.wasmInstance=A,this.memory=new M(this.detectWasmMemory(this.wasmInstance,Q)),G(void 0!==this.wasmInstance.exports,"Expect the library module contains exports"),this.exports=this.wasmInstance.exports,this.wasm32=this.memory.wasm32,this.validateInstance()}dispose(){for(var A;0!=this.recycledCallStacks.length;)this.recycledCallStacks.pop().dispose();null===(A=this.webGPUContext)||void 0===A||A.dispose()}sizeofPtr(){return this.memory.sizeofPtr()}checkCall(A){if(0!=A){let A=this.exports.TVMGetLastError();throw Error("TVMError: "+this.memory.loadCString(A))}}getOrAllocCallStack(){return 0!=this.recycledCallStacks.length?this.recycledCallStacks.pop():new U(this.memory,this.exports.TVMWasmAllocSpace,this.exports.TVMWasmFreeSpace)}recycleCallStack(A){A.reset(),this.recycledCallStacks.push(A)}validateInstance(){this.checkExports(["TVMWasmAllocSpace","TVMWasmFreeSpace","TVMFuncFree"])}checkExports(A){let Q=[];for(let B of A){let A=this.exports[B];A instanceof Function||Q.push(B)}if(0!=Q.length)throw Error("Cannot find "+Q+" in exports")}detectWasmMemory(A,Q){if(A.exports.memory instanceof WebAssembly.Memory)return A.exports.memory;if(Q.env&&Q.env.memory instanceof WebAssembly.Memory)return Q.env.memory;throw Error("Cannt detect wasm memory from imports "+Q+" or exports"+A.exports)}}/** - * @internal - * Manages extra runtime context for the runtime. - */class a{constructor(A){this.autoDisposeScope=[],this.arrayGetItem=A("runtime.ArrayGetItem"),this.arrayGetSize=A("runtime.ArraySize"),this.arrayMake=A("runtime.Array"),this.stringMake=A("runtime.String"),this.getFFIString=A("runtime.GetFFIString"),this.getSysLib=A("runtime.SystemLib"),this.arrayCacheGet=A("vm.builtin.ndarray_cache.get"),this.arrayCacheRemove=A("vm.builtin.ndarray_cache.remove"),this.arrayCacheUpdate=A("vm.builtin.ndarray_cache.update"),this.arrayCacheClear=A("vm.builtin.ndarray_cache.clear"),this.arrayDecodeStorage=A("tvmjs.array.decode_storage"),this.paramModuleFromCache=A("vm.builtin.param_module_from_cache"),this.makeShapeTuple=A("runtime.ShapeTuple"),this.ndarrayCreateView=A("runtime.TVMArrayCreateView"),this.sampleTopPFromLogits=A("vm.builtin.sample_top_p_from_logits"),this.applyRepetitionPenalty=A("vm.builtin.apply_repetition_penalty"),this.applySoftmaxWithTemperature=A("vm.builtin.apply_softmax_with_temperature")}dispose(){// call array cache clear to clear all cached items -this.arrayCacheClear.dispose(),this.arrayGetItem.dispose(),this.arrayGetSize.dispose(),this.arrayMake.dispose(),this.stringMake.dispose(),this.getFFIString.dispose(),this.arrayCacheGet.dispose(),this.arrayCacheRemove.dispose(),this.arrayCacheUpdate.dispose(),this.arrayCacheClear.dispose(),this.arrayDecodeStorage.dispose(),this.paramModuleFromCache.dispose(),this.makeShapeTuple.dispose(),this.ndarrayCreateView.dispose(),this.sampleTopPFromLogits.dispose(),this.applyRepetitionPenalty.dispose(),this.applySoftmaxWithTemperature.dispose()}beginScope(){this.autoDisposeScope.push([])}endScope(){if(0===this.autoDisposeScope.length)throw Error("tvm.endScope called when the stack is empty.");// automatically dispose all the tracked values in the current scope. -let A=this.autoDisposeScope.pop();for(let Q=0;Q1)throw Error("Value attached to scope multiple times");return A}}/** - * A typed scalar constant used to represent a typed number - * argument to PackedFunc calls. - */class H{constructor(A,Q){this.value=A,this.dtype=Q}}/** - * Cell holds the PackedFunc object. - */class S{constructor(A,Q){this.handle=A,this.lib=Q}dispose(){0!=this.handle&&(this.lib.checkCall(this.lib.exports.TVMFuncFree(this.handle)),this.handle=0)}getHandle(A=!0){if(A&&0===this.handle)throw Error("PackedFunc has already been disposed");return this.handle}}let t={1:"cpu",2:"cuda",4:"opencl",8:"metal",15:"webgpu"},O={cpu:1,cuda:2,cl:4,opencl:4,vulkan:7,metal:8,webgpu:15};/** - * Represent a runtime context where a NDArray can reside. - */class e{constructor(A,Q,B){let g=typeof A;if("string"===g){if(this.deviceType=O[A],void 0===this.deviceType)throw Error("Cannot recogonize deviceType "+A)}else if("number"===g)this.deviceType=A;else throw Error("Cannot take type "+g+" as deviceType");this.deviceId=Q,this.lib=B}/** - * Synchronize the device - */sync(){return o(this,void 0,void 0,function*(){this.deviceType===O.webgpu&&(G(void 0!==this.lib.webGPUContext),yield this.lib.webGPUContext.sync())})}toString(){return t[this.deviceType]+"("+this.deviceId.toString()+")"}}(C=Q||(Q={}))[C.Int=0]="Int",C[C.UInt=1]="UInt",C[C.Float=2]="Float",C[C.OpaqueHandle=3]="OpaqueHandle";let f={0:"int",1:"uint",2:"float",3:"handle"};/** - * Runtime data type of NDArray. - */class r{constructor(A,Q,B){this.code=A,this.bits=Q,this.lanes=B}toString(){let A=f[this.code]+this.bits.toString();return 1!=this.lanes?A+"x"+this.lanes.toString():A}numStorageBytes(){return this.bits*this.lanes+7>>3}}/** - * n-dimnesional array. - */class Z{constructor(A,Q,B,g){this.handle=A,this.isView=Q,this.lib=B,this.ctx=g,this.isView?this.dltensor=A:this.dltensor=this.getDLTensorFromArrayHandle(this.handle);let I=0+this.lib.sizeofPtr(),C=I+4/* SizeOf.I32 */,E=I+8/* SizeOf.DLDevice */,D=E+4/* SizeOf.I32 */,w=D+1/* SizeOf.U8 */,o=w+1/* SizeOf.U8 */,N=D+4/* SizeOf.DLDataType */,i=N+this.lib.sizeofPtr(),G=i+this.lib.sizeofPtr();// dataPtr -this.dataPtr=B.memory.loadPointer(this.dltensor),// ndim -this.ndim=B.memory.loadI32(this.dltensor+E);// shape -let Y=B.memory.loadPointer(this.dltensor+N);this.shape=[];for(let A=0;Anew H(A,"int"));return this.ctx.ndarrayCreateView(this,this.ctx.makeShapeTuple(...Q))}/** - * Get handle of ndarray, check it is not null. - * - * @param requireNotNull require handle is not null. - * @returns The handle. - */getHandle(A=!0){if(A&&0===this.handle)throw Error("NDArray has already been disposed");return this.handle}/** - * Get dataPtr of NDarray - * - * @returns The handle. - */getDataPtr(){if(0===this.handle)throw Error("NDArray has already been disposed");return this.dataPtr}dispose(){0==this.handle||this.isView||(this.lib.checkCall(this.lib.exports.TVMArrayFree(this.handle)),this.handle=0)}/** - * Copy data from another NDArray or javascript array. - * The number of elements must match. - * - * @param data The source data array. - * @returns this - */copyFrom(A){if(A instanceof Z)return this.lib.checkCall(this.lib.exports.TVMArrayCopyFromTo(A.getHandle(),this.getHandle(),0)),this;{let Q;let B=this.shape.reduce((A,Q)=>A*Q,1);if(A.length!=B)throw Error("data size and shape mismatch data.length"+A.length+" vs "+B);if("float32"===this.dtype)Q=Float32Array.from(A).buffer;else if("float64"===this.dtype)Q=Float64Array.from(A).buffer;else if("int32"===this.dtype)Q=Int32Array.from(A).buffer;else if("int8"===this.dtype)Q=Int8Array.from(A).buffer;else if("uint8"===this.dtype)Q=Uint8Array.from(A).buffer;else throw Error("Unsupported data type "+this.dtype);return this.copyFromRawBytes(new Uint8Array(Q))}}/** - * Copy data from raw bytes. - * @param data Uint8Array of bytes. - * @returns this - */copyFromRawBytes(A){var Q;// short cut for gpu copy -if(this.device.deviceType===O.webgpu)return null===(Q=this.lib.webGPUContext)||void 0===Q||Q.copyRawBytesToBuffer(A,this.getDataPtr(),0,A.length),this;// CPU copy -let B=this.shape.reduce((A,Q)=>A*Q,1),g=this.dlDataType.numStorageBytes()*B;if(g!=A.length)throw Error("Expect the data's length equals nbytes="+g);let I=this.lib.getOrAllocCallStack(),C=I.allocRawBytes(g),E=I.ptrFromOffset(C);return this.lib.memory.storeRawBytes(E,A),this.lib.checkCall(this.lib.exports.TVMArrayCopyFromBytes(this.getHandle(),E,g)),this.lib.recycleCallStack(I),this}/** - * Return a copied Uint8Array of the raw bytes in the NDArray. - * @returns The result array. - */toRawBytes(){if(this.device.deviceType!=O.cpu)throw Error("Can only sync copy CPU array, use cpu_arr.copyfrom(gpu_arr) then sync instead.");let A=this.shape.reduce((A,Q)=>A*Q,1),Q=this.dlDataType.numStorageBytes()*A,B=this.lib.getOrAllocCallStack(),g=B.allocRawBytes(Q),I=B.ptrFromOffset(g);this.lib.checkCall(this.lib.exports.TVMArrayCopyToBytes(this.getHandle(),I,Q));let C=this.lib.memory.loadRawBytes(I,Q);return this.lib.recycleCallStack(B),C}/** - * Return a TypedArray copy of the NDArray, the specific type depends on - * the dtype of the NDArray. - * @returns The result array. - */toArray(){let A=this.dtype;if("float32"===A)return new Float32Array(this.toRawBytes().buffer);if("float64"===A)return new Float64Array(this.toRawBytes().buffer);if("int32"===A)return new Int32Array(this.toRawBytes().buffer);if("int8"===A)return new Int8Array(this.toRawBytes().buffer);if("uint8"===A)return new Uint8Array(this.toRawBytes().buffer);throw Error("Unsupported data type "+this.dtype)}getDLTensorFromArrayHandle(A){// Note: this depends on the NDArray C ABI. -// keep this function in case of ABI change. -return A}}/** - * Runtime Module. - */class m{constructor(A,Q,B){this.handle=A,this.lib=Q,this.makePackedFunc=B}dispose(){0!=this.handle&&(this.lib.checkCall(this.lib.exports.TVMModFree(this.handle)),this.handle=0)}/** - * Get handle of module, check it is not null. - * - * @param requireNotNull require handle is not null. - * @returns The handle. - */getHandle(A=!0){if(A&&0===this.handle)throw Error("Module has already been disposed");return this.handle}/** - * Get a function in the module. - * @param name The name of the function. - * @param queryImports Whether to also query imports - * @returns The result function. - */getFunction(A,Q=!0){if(0===this.handle)throw Error("Module has already been disposed");let B=this.lib.getOrAllocCallStack(),g=B.allocRawBytes(A.length+1);B.storeRawBytes(g,N(A));let I=B.allocPtrArray(1),C=B.ptrFromOffset(I);B.commitToWasmMemory(I),this.lib.checkCall(this.lib.exports.TVMModGetFunction(this.getHandle(),B.ptrFromOffset(g),Q?1:0,C));let E=this.lib.memory.loadPointer(C);if(this.lib.recycleCallStack(B),0===E)throw Error("Cannot find function "+A);let D=this.makePackedFunc(E);return D}/** - * Import another module into the current runtime module. - * @param mod The module to be imported. - */importModule(A){this.lib.checkCall(this.lib.exports.TVMModImport(this.getHandle(),A.getHandle()))}}/** - * Generic object base - */class j{constructor(A,Q,B){this.handle=A,this.lib=Q,this.ctx=B}dispose(){0!=this.handle&&(this.lib.checkCall(this.lib.exports.TVMObjectFree(this.handle)),this.handle=0)}/** - * Get handle of module, check it is not null. - * - * @param requireNotNull require handle is not null. - * @returns The handle. - */getHandle(A=!0){if(A&&0===this.handle)throw Error("Module has already been disposed");return this.handle}/** get the type index of the object */typeIndex(){if(0===this.handle)throw Error("The current Object has already been disposed");let A=this.lib.getOrAllocCallStack(),Q=A.allocPtrArray(1),B=A.ptrFromOffset(Q);this.lib.checkCall(this.lib.exports.TVMObjectGetTypeIndex(this.getHandle(),B));let g=this.lib.memory.loadU32(B);return this.lib.recycleCallStack(A),g}/** get the type key of the object */typeKey(){let A=this.typeIndex(),Q=this.lib.getOrAllocCallStack(),B=Q.allocPtrArray(1),g=Q.ptrFromOffset(B);this.lib.checkCall(this.lib.exports.TVMObjectTypeIndex2Key(A,g));let I=this.lib.memory.loadCString(this.lib.memory.loadPointer(g));return this.lib.recycleCallStack(Q),I}}/** Runtime array object. */class q extends j{constructor(A,Q,B){super(A,Q,B)}/** - * @returns the size of the array. - */size(){return this.ctx.arrayGetSize(this)}/** - * Get index-th element of the array - * @param index the array index. - * @returns The element. - */get(A){return this.ctx.arrayGetItem(this,new H(A,"int32"))}}/** Runtime string object. */class p extends j{constructor(A,Q,B){super(A,Q,B)}/** - * @returns the size of the array. - */toString(){return this.ctx.getFFIString(this)}}(E=B||(B={}))[E.NAIVE_ALLOCATOR=1]="NAIVE_ALLOCATOR",E[E.POOLED_ALLOCATOR=2]="POOLED_ALLOCATOR";/** - * VirtualMachine Executor. - * - * This is a thin wrapper of the underlying TVM module. - * you can also directly call set_input, run, and get_output - * of underlying module functions - */class d{/** - * Constructor - * @param mod The underlying module, need to be detached. - * @param device The main device ro run VM on. - */constructor(A,Q){this.mod=A,this.mod.getFunction("vm_initialization")(new H(Q.deviceType,"int"),new H(Q.deviceId,"int"),new H(B.POOLED_ALLOCATOR,"int"),new H(O.cpu,"int"),new H(0,"int"),new H(B.POOLED_ALLOCATOR,"int"))}dispose(){this.mod.dispose()}/** - * Get a function in the VM module. - * @param name The name of the function. - * @returns The result function. - */getFunction(A){return this.mod.getFunction(A)}/** - * Get the internal module. - */getInternalModule(){return this.mod}}(D=g||(g={}))[D.kReturn=4]="kReturn",D[D.kException=5]="kException";/** - * Cache to store model related data. - */class z{constructor(A){this.scope=A}fetchWithCache(A){return o(this,void 0,void 0,function*(){let Q=new Request(A);void 0===this.cache&&(this.cache=yield caches.open(this.scope));let B=yield this.cache.match(Q);if(void 0===B&&(yield this.cache.add(Q),B=yield this.cache.match(Q)),void 0===B)throw Error("Cannot fetch "+A);return B})}hasAllKeys(A){return o(this,void 0,void 0,function*(){return void 0===this.cache&&(this.cache=yield caches.open(this.scope)),this.cache.keys().then(A=>A.map(A=>A.url)).then(Q=>A.every(A=>-1!==Q.indexOf(A))).catch(A=>!1)})}}/** - * TVM runtime instance. - * - * All objects(NDArray, Module, PackedFunc) returned by TVM runtim function call - * and PackedFunc instance are tracked through a scope mechanism that will get - * auto-released when we call EndScope. - * - * This is necessarily to be able to release the underlying WASM and WebGPU memory that - * are not tracked through JS native garbage collection mechanism. - * - * This does mean that we have to get familar with the following functions: - * - {@link beginScope} - * - {@link endScope} - * - {@link withNewScope} - * - {@link attachToCurrentScope} - * - {@link detachFromCurrentScope} - */class x{/** - * Constructor - * - * importObject can also be a {@link LibraryProvider} object, - * a WASI object, or an object containing wasmLibraryProvider field. - * - * @param wasmModule The input module or instance. - * @param importObject The imports to initialize the wasmInstance if it is not provided. - * @param wasmInstance Additional wasm instance argument for deferred construction. - * @param env Directly specified environment module. - * - * @see Please use the async version {@link instantiate} when targeting browsers. - */constructor(A,Q={},B,g){this.cacheMetadata={},this.initProgressCallback=[],B instanceof WebAssembly.Instance?G(g instanceof s,"env must be provided when passing in instance"):(G(void 0===g),g=new s(Q),B=new WebAssembly.Instance(A,g.imports)),g.start(B),this.env=g,this.lib=new J(B,g.imports),this.memory=this.lib.memory,this.exports=this.lib.exports,this.objFactory=new Map,this.ctx=new a(A=>this.getGlobalFuncInternal(A,!1)),this.registerEnvGlobalPackedFuncs(),this.registerObjectFactoryFuncs()}/** - * Benchmark stable execution of the run function. - * - * @params run The run function - * @params dev The device to sync during each run. - * @number The number of times to compute the average. - * @repeat The number of times to repeat the run. - */benchmark(A,Q,B=10,g=1){return o(this,void 0,void 0,function*(){// Skip first run as it can involve GPU warmup and module loading time. -let I=c(),C=[];// run with new scope -this.withNewScope(A),yield Q.sync();for(let E=0;E{// packed func can be released once it is registered -let g=this.toPackedFuncInternal(Q,!0),I=this.lib.getOrAllocCallStack(),C=I.allocRawBytes(A.length+1);I.storeRawBytes(C,N(A)),I.commitToWasmMemory(),this.lib.checkCall(this.lib.exports.TVMFuncRegisterGlobal(I.ptrFromOffset(C),g._tvmPackedCell.getHandle(),B?1:0)),this.lib.recycleCallStack(I)})}/** - * Get global PackedFunc from the runtime. - * @param name The name of the function. - * @param autoAttachToScope Whether to track it via autoDispose - * @returns The result function. - */getGlobalFunc(A){return this.getGlobalFuncInternal(A,!0)}getGlobalFuncInternal(A,Q=!0){let B=this.lib.getOrAllocCallStack(),g=B.allocRawBytes(A.length+1);B.storeRawBytes(g,N(A));let I=B.allocPtrArray(1),C=B.ptrFromOffset(I);B.commitToWasmMemory(I),this.lib.checkCall(this.exports.TVMFuncGetGlobal(B.ptrFromOffset(g),C));let E=this.memory.loadPointer(C);if(this.lib.recycleCallStack(B),0===E)throw Error("Cannot find global function "+A);let D=this.makePackedFunc(E);return Q&&this.ctx.attachToCurrentScope(D),D}/** - * Check if func is PackedFunc. - * - * @param func The input. - * @returns The check result. - */isPackedFunc(A){// eslint-disable-next-line no-prototype-builtins -return"function"==typeof A&&A.hasOwnProperty("_tvmPackedCell")}/** - * Convert func to PackedFunc - * - * @param func Input function. - * @returns The converted function. - */toPackedFunc(A){return this.toPackedFuncInternal(A,!0)}toPackedFuncInternal(A,Q){if(this.isPackedFunc(A))return A;let B=this.createPackedFuncFromCFunc(this.wrapJSFuncAsPackedCFunc(A));return Q?this.ctx.attachToCurrentScope(B):B}/** - * Setup a virtual machine module with given device. - * - * @param dev DLDevice the device. - * @returns The created virtual machime. - */createVirtualMachine(A){let Q=this.ctx.detachFromCurrentScope(this.systemLib().getFunction("vm_load_executable")());return this.ctx.attachToCurrentScope(new d(Q,A))}//----------------------------------------------- -// Native NDArray Cache Support -//----------------------------------------------- -/** - * Register a call back for fetch progress. - * - * @param cb the fetch progress callback. - */registerInitProgressCallback(A){this.initProgressCallback.push(A)}/** - * Get parameters in the form of prefix_i - * - * @param prefix The parameter prefix. - * @param numParams Number of parameters. - * @returns - */getParamsFromCache(A,Q){return this.ctx.paramModuleFromCache(A,new H(Q,"int32")).getFunction("get_params")()}/** - * Get NDArray from cache. - * @param name The name of array. - * @returns The result. - */ndarrayCacheGet(A){return this.ctx.arrayCacheGet(A)}/** - * Get NDArray from cache. - * @param name The name of array. - * @returns The result. - */ndarrayCacheRemove(A){return this.ctx.arrayCacheRemove(A)}/** - * Update the ndarray cache. - * @param name The name of the array. - * @param arr The content. - */ndarrayCacheUpdate(A,Q,B=!1){this.ctx.arrayCacheUpdate(A,Q,this.scalar(B?1:0,"int32"))}/** - * Update the ndarray cache. - * @param name The name of the array. - * @param arr The content. - */ndarrayCacheClear(){this.ctx.arrayCacheClear()}/** - * Fetch NDArray cache from url. - * - * @param ndarrayCacheUrl The cache url. - * @param device The device to be fetched to. - * @param cacheScope The scope identifier of the cache - * @returns The meta data - */fetchNDArrayCache(A,Q,B="tvmjs"){return o(this,void 0,void 0,function*(){let g;let I=new z(B),C=new URL("ndarray-cache.json",A).href,E=yield I.fetchWithCache(C);E instanceof Response&&(g=yield E.json()),yield this.fetchNDArrayCacheInternal(A,g.records,Q,I),this.cacheMetadata=Object.assign(Object.assign({},this.cacheMetadata),g.metadata)})}/** - * Fetch list of NDArray into the NDArrayCache. - * - * @param ndarrayCacheUrl The cache url. - * @param list The list of array data. - * @param device The device to store the data to. - * @param artifactCache The artifact cache - */fetchNDArrayCacheInternal(A,Q,B,g){return o(this,void 0,void 0,function*(){let I=c(),C=I.now(),E=0;for(let A=0;Anew URL(Q.dataPath,A).href)),N=A=>{// report -for(let B=0;B=1){let A=parseInt(E[0]);A+""===E[0]&&(I=A)}return E.length>=2&&(C=parseInt(E[1])),new r(g,I,C)}throw Error("Unknown dtype "+A)}/** - * Create a new {@link Scalar} that can be passed to a PackedFunc. - * @param value The number value. - * @param dtype The dtype string. - * @returns The created scalar. - */scalar(A,Q){return new H(A,Q)}/** - * Create a new {@link DLDevice} - * @param deviceType The device type. - * @param deviceId The device index. - * @returns The created device. - */device(A,Q=0){return new e(A,Q,this.lib)}/** - * Create a new cpu {@link DLDevice} - * @param deviceId The device index. - */cpu(A=0){return this.device("cpu",A)}/** - * Create a new webgpu {@link DLDevice} - * @param deviceId The device index. - */webgpu(A=0){return this.device("webgpu",A)}/** - * Create an empty {@link NDArray} with given shape and dtype. - * - * @param shape The shape of the array. - * @param dtype The data type of the array. - * @param dev The device of the ndarray. - * @returns The created ndarray. - */empty(A,Q="float32",B=this.device("cpu",0)){Q=this.toDLDataType(Q),A="number"==typeof A?[A]:A;let g=this.lib.getOrAllocCallStack(),I=g.allocRawBytes(8/* SizeOf.I64 */*A.length);for(let Q=0;QA*Q,1),E=B-Q,D=new Float32Array(C);for(let A=0;Anew H(A,"int"));return this.ctx.makeShapeTuple(...Q)}/** - * Get type index from type key. - * @param typeKey The type key. - * @returns The corresponding type index. - */typeKey2Index(A){let Q=this.lib.getOrAllocCallStack(),B=Q.allocRawBytes(A.length+1);Q.storeRawBytes(B,N(A));let g=Q.allocPtrArray(1),I=Q.ptrFromOffset(g);Q.commitToWasmMemory(g),this.lib.checkCall(this.lib.exports.TVMObjectTypeKey2Index(Q.ptrFromOffset(B),I));let C=this.memory.loadU32(I);return this.lib.recycleCallStack(Q),C}/** - * Register an object constructor. - * @param typeKey The name of the function. - * @param func function to be registered. - * @param override Whether overwrite function in existing registry. - */registerObjectConstructor(A,Q,B=!1){let g=this.typeKey2Index(A);if(this.objFactory.has(g)&&!B)throw Error("Type "+A+" already registered");this.objFactory.set(g,Q)}/** - * Register an asyncfunction to be global function in the server. - * @param name The name of the function. - * @param func function to be registered. - * @param override Whether overwrite function in existing registry. - * - * @note The async function will only be used for serving remote calls in the rpc. - */registerAsyncServerFunc(A,Q,B=!1){this.registerFunc("__async."+A,(...A)=>{let B=A.slice(0,A.length-1),I=this.detachFromCurrentScope(A[A.length-1]),C=Q(...B);C.then(A=>{I(this.scalar(g.kReturn,"int32"),A),I.dispose()})},B)}/** - * Asynchronously load webgpu pipelines when possible. - * @param mod The input module. - */asyncLoadWebGPUPipelines(A){return o(this,void 0,void 0,function*(){if(void 0===this.lib.webGPUContext)throw Error("WebGPU not initialied");let Q=this.lib.webGPUContext;this.beginScope();let B=A.getFunction("webgpu.get_fmap",!0)(),g=JSON.parse(B),I=this.detachFromCurrentScope(A.getFunction("webgpu.get_shader")),C=this.detachFromCurrentScope(A.getFunction("webgpu.update_prebuild"));this.endScope();let E=c(),D=E.now(),w=D,o=0,N=Object.entries(g),i=Promise.resolve();for(let[A,B]of N){let g=I(A);G(A===B.name);let Y=Q.createShaderAsync(B,g).then(Q=>{this.beginScope(),C(A,Q),this.endScope()}).then(()=>{o+=1;let A=E.now();// skip report if gap is smaller than 1000 -if(A-w<1e3&&o!=N.length)return;w=A;let Q=Math.ceil((E.now()-D)/1e3);// report -for(let A=0;A{})}yield i,G(o===N.length)})}/** - 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AD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AADXJUgA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA//8AAP//AAD//wAA6yVTAmxhbmEAbGluYQB6AHlpAG1uAGNuAG1ha2EAeWlpaQBtYW5pAGlua2FubmFkYQBjaQBsbwBsYW8AbGFvbwB6enp6AG1pYW8AeWV6aQBpbm5rbwBjbwBtZQBsb2UAZ3JhbgBwaQBsaW5lYXJhAG1hcmsAY2FyaQBjYXJpYW4AcG8AbWVuZGVraWtha3VpAGdyZWsAcGUAbWVldGVpbWF5ZWsAaW5raGFyb3NodGhpAGdlb3IAZ3JlZWsAbXJvAG1yb28Aa2FuYQBtZXJvAG0AZ29ubQBjYWttAGlub3NtYW55YQBpbm1hbmljaGFlYW4AaW5hcm1lbmlhbgBpbm1ybwBpbm1pYW8AYwBpbmNoYWttYQBjb21tb24AbWFuZGFpYwBpbm15YW5tYXIAaW5tYWthc2FyAHFhYWkAaW5pZGVvZ3JhcGhpY3N5bWJvbHNhbmRwdW5jdHVhdGlvbgBpbmtobWVyAGNhbnMAcHJlcGVuZGVkY29uY2F0ZW5hdGlvbm1hcmsAbG0AbWFyYwBjb25uZWN0b3JwdW5jdHVhdGlvbgBpbnJ1bmljAGluY2FyaWFuAGluYXZlc3RhbgBjb21iaW5pbmdtYXJrAGluY3VuZWlmb3JtbnVtYmVyc2FuZHB1bmN0dWF0aW9uAG1lcmMAaW5jaG9yYXNtaWFuAHBlcm0AaW5haG9tAGluaXBhZXh0ZW5zaW9ucwBpbmNoZXJva2VlAGluc2hhcmFkYQBtYWthc2FyAGluYXJyb3dzAGxjAG1hc2FyYW1nb25kaQBpbmN1bmVpZm9ybQBtYwBjYwBpbnphbmFiYXphcnNxdWFyZQBsaW5lc2VwYXJhdG9yAGFybW4AcW1hcmsAYXJtaQBpbnNhbWFyaXRhbgBhcm1lbmlhbgBpbm1hcmNoZW4AaW5tYXNhcmFtZ29uZGkAcWFhYwBwYwBpbnNjcmlwdGlvbmFscGFydGhpYW4AbGF0bgBsYXRpbgByaQBpbnRoYWFuYQBpbmtobWVyc3ltYm9scwBpbmthdGFrYW5hAGluY3lyaWxsaWMAaW50aGFpAGluY2hhbQBpbmthaXRoaQB6cwBtdGVpAGluaXRpYWxwdW5jdHVhdGlvbgBjcwBpbnN5cmlhYwBwY20AaW50YWtyaQBwcwBtYW5kAGlua2FuYWV4dGVuZGVkYQBtZW5kAG1vZGkAa2F0YWthbmEAaWRlbwBwcnRpAHllemlkaQBpbmlkZW9ncmFwaGljZGVzY3JpcHRpb25jaGFyYWN0ZXJzAHhpZGNvbnRpbnVlAGJyYWkAYXNjaWkAcHJpdmF0ZXVzZQBhcmFiaWMAaW5teWFubWFyZXh0ZW5kZWRhAGlucnVtaW51bWVyYWxzeW1ib2xzAGxldHRlcgBpbm5hbmRpbmFnYXJpAGlubWVldGVpbWF5ZWsAaW5vbGRub3J0aGFyYWJpYW4AaW5jamtjb21wYXRpYmlsaXR5Zm9ybXMAa25kYQBrYW5uYWRhAGluY2prY29tcGF0aWJpbGl0eWlkZW9ncmFwaHMAbABpbm1vZGkAaW5zcGVjaWFscwBpbnRyYW5zcG9ydGFuZG1hcHN5bWJvbHMAaW5tZW5kZWtpa2FrdWkAbGV0dGVybnVtYmVyAGlubWVkZWZhaWRyaW4AeGlkYwBpbmNoZXNzc3ltYm9scwBpbmVtb3RpY29ucwBpbmxpbmVhcmEAaW5sYW8AYnJhaG1pAGlub2xkaXRhbGljAGlubWlzY2VsbGFuZW91c21hdGhlbWF0aWNhbHN5bWJvbHNhAG1vbmdvbGlhbgB4aWRzAHBzYWx0ZXJwYWhsYXZpAGdybGluawBraXRzAGluc3VuZGFuZXNlAGlub2xkc29nZGlhbgBnb3RoaWMAaW5hbmNpZW50c3ltYm9scwBtZXJvaXRpY2N1cnNpdmUAa2FsaQBjb250cm9sAHBhdHRlcm53aGl0ZXNwYWNlAGluYWRsYW0Ac2sAbHQAaW5tYW5kYWljAGluY29tbW9uaW5kaWNudW1iZXJmb3JtcwBpbmNqa2NvbXBhdGliaWxpdHlpZGVvZ3JhcGhzc3VwcGxlbWVudABzbwBpZGMAaW5vbGRzb3V0aGFyYWJpYW4AcGFsbQBpbmx5Y2lhbgBpbnRvdG8AaWRzYmluYXJ5b3BlcmF0b3IAaW5rYW5hc3VwcGxlbWVudABpbmNqa3N0cm9rZXMAc29yYQBiYW11bQBpbm9wdGljYWxjaGFyYWN0ZXJyZWNvZ25pdGlvbgBpbmRvbWlub3RpbGVzAGJhdGsAZ3JleHQAYmF0YWsAcGF0d3MAaW5tYWxheWFsYW0AaW5tb2RpZmllcnRvbmVsZXR0ZXJzAGluc21hbGxrYW5hZXh0ZW5zaW9uAGJhc3MAaWRzAHByaW50AGlubGluZWFyYmlkZW9ncmFtcwBpbnRhaXRoYW0AaW5tdXNpY2Fsc3ltYm9scwBpbnpuYW1lbm55bXVzaWNhbG5vdGF0aW9uAHNhbXIAaW5zeWxvdGluYWdyaQBpbm5ld2EAc2FtYXJpdGFuAHMAam9pbmMAaW5jb250cm9scGljdHVyZXMAbGlzdQBwYXVjAGlubWlzY2VsbGFuZW91c3N5bWJvbHMAaW5hbmNpZW50Z3JlZWttdXNpY2Fsbm90YXRpb24AaW5taXNjZWxsYW5lb3Vzc3ltYm9sc2FuZGFycm93cwBzbQBpbm1pc2NlbGxhbmVvdXNzeW1ib2xzYW5kcGljdG9ncmFwaHMAaW51Z2FyaXRpYwBwZABpdGFsAGFsbnVtAHppbmgAaW53YXJhbmdjaXRpAGlubGF0aW5leHRlbmRlZGEAaW5zYXVyYXNodHJhAGludGFpbGUAaW5vbGR0dXJraWMAaWRjb250aW51ZQBpbmhhbmlmaXJvaGluZ3lhAHNjAGlkc3QAaW5sYXRpbmV4dGVuZGVkZQBsb3dlcgBiYWxpAGluaGlyYWdhbmEAaW5jYXVjYXNpYW5hbGJhbmlhbgBpbmRlc2VyZXQAYmxhbmsAaW5zcGFjaW5nbW9kaWZpZXJsZXR0ZXJzAGNoZXJva2VlAGlubHlkaWFuAHBob2VuaWNpYW4AY2hlcgBiZW5nYWxpAG1hcmNoZW4AaW53YW5jaG8AZ3JhcGhlbWVsaW5rAGJhbGluZXNlAGlkc3RhcnQAaW50YW1pbABpbm11bHRhbmkAY2hhbQBjaGFrbWEAa2FpdGhpAGlubWFoYWphbmkAZ3JhcGhlbWViYXNlAGlub2doYW0AY2FzZWQAaW5tZWV0ZWltYXlla2V4dGVuc2lvbnMAa2hvamtpAGluYW5jaWVudGdyZWVrbnVtYmVycwBydW5yAGtoYXIAbWFuaWNoYWVhbgBsb3dlcmNhc2UAY2FuYWRpYW5hYm9yaWdpbmFsAGlub2xjaGlraQBwbHJkAGluZXRoaW9waWMAc2luZABjd2NtAGluZWFybHlkeW5hc3RpY2N1bmVpZm9ybQBsbAB6bABpbnNpbmhhbGEAaW5raHVkYXdhZGkAeGlkc3RhcnQAeGRpZ2l0AGJpZGljAGNob3Jhc21pYW4AaW5zaWRkaGFtAGluY291bnRpbmdyb2RudW1lcmFscwBhaG9tAGNocnMAa2htcgBpbm9sZHV5Z2h1cgBpbmdyYW50aGEAYmFtdQBpbnNjcmlwdGlvbmFscGFobGF2aQBnb25nAG1vbmcAaW5sYXRpbmV4dGVuZGVkYwBpbm5ld3RhaWx1ZQBhZGxtAGlub3NhZ2UAaW5nZW5lcmFscHVuY3R1YXRpb24AZ2VvcmdpYW4Aa2hhcm9zaHRoaQBzaW5oYWxhAGtobWVyAHN0ZXJtAGNhc2VkbGV0dGVyAG11bHRhbmkAZ3VuamFsYWdvbmRpAG1hdGgAaW5jeXJpbGxpY3N1cHBsZW1lbnQAaW5nZW9yZ2lhbgBnb3RoAGluY2hlcm9rZWVzdXBwbGVtZW50AGdsYWdvbGl0aWMAcXVvdGF0aW9ubWFyawB1aWRlbwBpbmNqa3VuaWZpZWRpZGVvZ3JhcGhzZXh0ZW5zaW9uYQBqb2luY29udHJvbABydW5pYwBpbm1vbmdvbGlhbgBlbW9qaQBpbmNqa3VuaWZpZWRpZGVvZ3JhcGhzZXh0ZW5zaW9uZQBncmFudGhhAGludGlyaHV0YQBpbmhhdHJhbgBhZGxhbQBsdQBpbmtoaXRhbnNtYWxsc2NyaXB0AGt0aGkAaW5ndXJtdWtoaQBzdW5kYW5lc2UAaW5vbGRodW5nYXJpYW4AdGFrcmkAaW50YW1pbHN1cHBsZW1lbnQAb3JpeWEAaW52YWkAYnJhaABpbm1pc2NlbGxhbmVvdXN0ZWNobmljYWwAdmFpAHZhaWkAc2F1cgBndXJ1AHRhaWxlAGluaGVyaXRlZABwYXVjaW5oYXUAemFuYgBwdW5jdABsaW5iAGd1cm11a2hpAHRha3IAaW5uYWJhdGFlYW4AaW5rYW5idW4AbG9naWNhbG9yZGVyZXhjZXB0aW9uAGluYmhhaWtzdWtpAGluY2prdW5pZmllZGlkZW9ncmFwaHNleHRlbnNpb25jAGdyYXBoZW1lZXh0ZW5kAGluZWxiYXNhbgBpbnNvcmFzb21wZW5nAGhhbgBoYW5pAGxpbWJ1AHVuYXNzaWduZWQAcmFkaWNhbABoYW5vAGxvd2VyY2FzZWxldHRlcgBjbnRybABpbmNqa3VuaWZpZWRpZGVvZ3JhcGhzAGxpbmVhcmIAaW5hbmF0b2xpYW5oaWVyb2dseXBocwBoYW51bm9vAGlua2hvamtpAGlubGF0aW5leHRlbmRlZGFkZGl0aW9uYWwAaW5lbmNsb3NlZGFscGhhbnVtZXJpY3MAYW5hdG9saWFuaGllcm9nbHlwaHMAbgBlbW9qaW1vZGlmaWVyAHNkAGhpcmEAc2lkZABsaW1iAGJoa3MAcGhsaQBuYW5kaW5hZ2FyaQBubwBzYXVyYXNodHJhAGludGFuZ3NhAGN3dABiaGFpa3N1a2kAaW5ncmVla2FuZGNvcHRpYwBua28AbmtvbwB0ZXJtAG9zYWdlAHhwZW8AdG5zYQB0YW5nc2EAaW5rYXlhaGxpAHAAaW5vcml5YQBpbnllemlkaQBpbmFyYWJpYwBpbnBob2VuaWNpYW4AaW5zaGF2aWFuAGJpZGljb250cm9sAGluZW5jbG9zZWRpZGVvZ3JhcGhpY3N1cHBsZW1lbnQAd2FyYQBtdWx0AGlubWVyb2l0aWNoaWVyb2dseXBocwBzaW5oAHNoYXZpYW4AaW5rYW5neGlyYWRpY2FscwBlbmNsb3NpbmdtYXJrAGFyYWIAaW5zaW5oYWxhYXJjaGFpY251bWJlcnMAYnJhaWxsZQBpbmhhbnVub28Ab3NtYQBiZW5nAGluYmFzaWNsYXRpbgBpbmFyYWJpY3ByZXNlbnRhdGlvbmZvcm1zYQBjcG1uAHJlZ2lvbmFsaW5kaWNhdG9yAGluZW5jbG9zZWRhbHBoYW51bWVyaWNzdXBwbGVtZW50AGVtb2ppbW9kaWZpZXJiYXNlAGluZ3JlZWtleHRlbmRlZABsZXBjAGluZG9ncmEAZm9ybWF0AGx5Y2kAbHljaWFuAGRpYQBpbnBoYWlzdG9zZGlzYwBkaQBkaWFrAHVua25vd24AZ3JiYXNlAG15bXIAbXlhbm1hcgBpbmNqa3VuaWZpZWRpZGVvZ3JhcGhzZXh0ZW5zaW9uZABlbW9kAGluZ2VvbWV0cmljc2hhcGVzAGluY3lwcm9taW5vYW4AaW5zdW5kYW5lc2VzdXBwbGVtZW50AHRvdG8AZ2xhZwB0YWl2aWV0AGFzY2lpaGV4ZGlnaXQAb2RpAHB1bmN0dWF0aW9uAHZzAHN1bmQAaW5zb3lvbWJvAGluaW1wZXJpYWxhcmFtYWljAGluYmF0YWsAaW5sYXRpbmV4dGVuZGVkZABpbm51c2h1AGludGliZXRhbgBpbmxvd3N1cnJvZ2F0ZXMAaGF0cmFuAGluYmxvY2tlbGVtZW50cwBpbnNvZ2RpYW4AaW5kaW5nYmF0cwBpbmVseW1haWMAaW5kZXZhbmFnYXJpAGVtb2ppY29tcG9uZW50AGlua2F0YWthbmFwaG9uZXRpY2V4dGVuc2lvbnMAaWRlb2dyYXBoaWMAY29wdGljAGlubnVtYmVyZm9ybXMAaGF0cgBpbmNqa2NvbXBhdGliaWxpdHkAaW5rYW5hZXh0ZW5kZWRiAHBhdHRlcm5zeW50YXgAYXZlc3RhbgBpbmFyYWJpY2V4dGVuZGVkYQBzb2dkaWFuAHNvZ28AaW50YW5ndXQAY29wdABncmFwaABvaWRjAGluYnl6YW50aW5lbXVzaWNhbHN5bWJvbHMAaW5pbnNjcmlwdGlvbmFscGFydGhpYW4AZGlhY3JpdGljAGluaW5zY3JpcHRpb25hbHBhaGxhdmkAaW5tYXlhbm51bWVyYWxzAGlubXlhbm1hcmV4dGVuZGVkYgBpbnRhZ3MAamF2YQBjcHJ0AG5hbmQAcGF0c3luAHRhbGUAb2lkcwBzZW50ZW5jZXRlcm1pbmFsAGltcGVyaWFsYXJhbWFpYwB0ZXJtaW5hbHB1bmN0dWF0aW9uAGx5ZGkAbHlkaWFuAGJvcG8AamF2YW5lc2UAY3dsAGluZ2VvbWV0cmljc2hhcGVzZXh0ZW5kZWQAaW5vbGRwZXJzaWFuAGlub3JuYW1lbnRhbGRpbmdiYXRzAGluYnJhaWxsZXBhdHRlcm5zAGludmFyaWF0aW9uc2VsZWN0b3JzAGNhc2VpZ25vcmFibGUAaW55aXJhZGljYWxzAGlubm9ibG9jawBpbnZlcnRpY2FsZm9ybXMAaW5ldGhpb3BpY3N1cHBsZW1lbnQAc2hhcmFkYQBpbmJhbGluZXNlAGludmVkaWNleHRlbnNpb25zAHdvcmQAaW5taXNjZWxsYW5lb3VzbWF0aGVtYXRpY2Fsc3ltYm9sc2IAdGFtbABvbGNrAGlkc2IAb2xvd2VyAGRlY2ltYWxudW1iZXIAYXZzdABpbmN5cmlsbGljZXh0ZW5kZWRhAG9sY2hpa2kAc2hyZABpbnRhaXh1YW5qaW5nc3ltYm9scwBpbnRhaXZpZXQAdWdhcgBpbmNqa3N5bWJvbHNhbmRwdW5jdHVhdGlvbgBib3BvbW9mbwBpbmxpc3UAaW5vbGRwZXJtaWMAc2lkZGhhbQB6YW5hYmF6YXJzcXVhcmUAYXNzaWduZWQAbWVkZgBjbG9zZXB1bmN0dWF0aW9uAHNhcmIAc29yYXNvbXBlbmcAaW52YXJpYXRpb25zZWxlY3RvcnNzdXBwbGVtZW50AGluaGFuZ3VsamFtbwBtZWRlZmFpZHJpbgBwaGFnAGlubGlzdXN1cHBsZW1lbnQAaW5jb3B0aWMAaW5zeXJpYWNzdXBwbGVtZW50AGluaGFuZ3VsamFtb2V4dGVuZGVkYQBjeXJsAGluc2hvcnRoYW5kZm9ybWF0Y29udHJvbHMAaW5jeXJpbGxpY2V4dGVuZGVkYwBndWpyAGN3dQBndWphcmF0aQBzcGFjaW5nbWFyawBhbHBoYQBtbHltAGlucGFsbXlyZW5lAG1hbGF5YWxhbQBzcGFjZQBpbmxlcGNoYQBwYWxteXJlbmUAc295bwBtZXJvaXRpY2hpZXJvZ2x5cGhzAHhzdXgAaW50ZWx1Z3UAaW5kZXZhbmFnYXJpZXh0ZW5kZWQAaW5tZXJvaXRpY2N1cnNpdmUAZHNydAB0aGFhAHRoYWFuYQBidWdpAHRoYWkAc29nZAB0aXRsZWNhc2VsZXR0ZXIAaW5tYXRoZW1hdGljYWxhbHBoYW51bWVyaWNzeW1ib2xzAG9ya2gAY2F1Y2FzaWFuYWxiYW5pYW4AaW5iYW11bQBkZXNlcmV0AGluZ2VvcmdpYW5zdXBwbGVtZW50AGJ1Z2luZXNlAHNlcGFyYXRvcgBpbnNtYWxsZm9ybXZhcmlhbnRzAHRpcmgAaW5icmFobWkAbmQAcGhueABuZXdhAGluY29tYmluaW5nZGlhY3JpdGljYWxtYXJrcwBtYWhqAGluY29tYmluaW5nZGlhY3JpdGljYWxtYXJrc2ZvcnN5bWJvbHMAb2xkcGVyc2lhbgBtYWhhamFuaQB0YWl0aGFtAG5ld3RhaWx1ZQBuZXdsaW5lAHN5cmMAaW5tb25nb2xpYW5zdXBwbGVtZW50AGludW5pZmllZGNhbmFkaWFuYWJvcmlnaW5hbHN5bGxhYmljc2V4dGVuZGVkYQBzaGF3AGJ1aGQAdml0aGt1cWkAbnVtYmVyAGluc3V0dG9uc2lnbndyaXRpbmcAdmFyaWF0aW9uc2VsZWN0b3IAZXRoaQBsZXBjaGEAdGlyaHV0YQByb2hnAGFoZXgAaW5jb3B0aWNlcGFjdG51bWJlcnMAd2FuY2hvAGluY2prdW5pZmllZGlkZW9ncmFwaHNleHRlbnNpb25nAGtob2oAY3VuZWlmb3JtAGluZHVwbG95YW4AdWdhcml0aWMAaW5zeW1ib2xzYW5kcGljdG9ncmFwaHNleHRlbmRlZGEAb2xkcGVybWljAGluY29tYmluaW5nZGlhY3JpdGljYWxtYXJrc3N1cHBsZW1lbnQAa2h1ZGF3YWRpAHRhbmcAc3lyaWFjAHRhZ2JhbndhAG1vZGlmaWVybGV0dGVyAGluY3VycmVuY3lzeW1ib2xzAGlubnlpYWtlbmdwdWFjaHVlaG1vbmcAdGFtaWwAdGFsdQBpbmdvdGhpYwBpbnVuaWZpZWRjYW5hZGlhbmFib3JpZ2luYWxzeWxsYWJpY3MAd2NobwBpbmNvbWJpbmluZ2RpYWNyaXRpY2FsbWFya3NleHRlbmRlZABvZ2FtAHRlbHUAaWRzdHJpbmFyeW9wZXJhdG9yAGluYmVuZ2FsaQBubABzdXJyb2dhdGUAZWJhc2UAaGFuZwBpbmJ1Z2luZXNlAG1hdGhzeW1ib2wAaW52aXRoa3VxaQB2aXRoAGluY2prcmFkaWNhbHNzdXBwbGVtZW50AGluZ3VqYXJhdGkAaW5nbGFnb2xpdGljAGluZ3VuamFsYWdvbmRpAHBoYWdzcGEAY3djZgBuY2hhcgBvdGhlcmlkY29udGludWUAd2hpdGVzcGFjZQBpbmxpbmVhcmJzeWxsYWJhcnkAc2dudwBvdGhlcgBoaXJhZ2FuYQBpbnBoYWdzcGEAb3RoZXJudW1iZXIAaW5yZWphbmcAb3NnZQBpbmNqa3VuaWZpZWRpZGVvZ3JhcGhzZXh0ZW5zaW9uYgBpbnRhZ2Fsb2cAaW5iYXNzYXZhaAB0YW5ndXQAaG1uZwBpbmVuY2xvc2VkY2prbGV0dGVyc2FuZG1vbnRocwBjdXJyZW5jeXN5bWJvbABpbmxpbWJ1AGluYnVoaWQAaW5ldGhpb3BpY2V4dGVuZGVkYQBzeWxvAGRhc2gAd2FyYW5nY2l0aQBvYWxwaGEAb2xkaXRhbGljAGlub3R0b21hbnNpeWFxbnVtYmVycwBzcGFjZXNlcGFyYXRvcgBpbmxhdGluMXN1cHBsZW1lbnQAb3RoZXJhbHBoYWJldGljAGNoYW5nZXN3aGVuY2FzZW1hcHBlZABpbmFlZ2Vhbm51bWJlcnMAaW51bmlmaWVkY2FuYWRpYW5hYm9yaWdpbmFsc3lsbGFiaWNzZXh0ZW5kZWQAYnVoaWQAaW5qYXZhbmVzZQBjeXJpbGxpYwBkb2dyYQBub25jaGFyYWN0ZXJjb2RlcG9pbnQAaW5oYW5ndWxzeWxsYWJsZXMAYmFzc2F2YWgAaW5sZXR0ZXJsaWtlc3ltYm9scwBpbmNvbWJpbmluZ2hhbGZtYXJrcwBpbmFyYWJpY21hdGhlbWF0aWNhbGFscGhhYmV0aWNzeW1ib2xzAG9yeWEAaW5wcml2YXRldXNlYXJlYQBjaGFuZ2Vzd2hlbnRpdGxlY2FzZWQAZG9ncgBoZWJyAGludGFnYmFud2EAaW50aWZpbmFnaABpbmJvcG9tb2ZvAG5hcmIAcmpuZwBpbmFscGhhYmV0aWNwcmVzZW50YXRpb25mb3JtcwBpbmNqa3VuaWZpZWRpZGVvZ3JhcGhzZXh0ZW5zaW9uZgBpbnN5bWJvbHNmb3JsZWdhY3ljb21wdXRpbmcAb2xkaHVuZ2FyaWFuAGZpbmFscHVuY3R1YXRpb24AaW5wYXVjaW5oYXUAaW5wc2FsdGVycGFobGF2aQB6cABwaGxwAGluYXJhYmljcHJlc2VudGF0aW9uZm9ybXNiAG5vbnNwYWNpbmdtYXJrAGRldmEAdGF2dABobW5wAGRldmFuYWdhcmkAa2hpdGFuc21hbGxzY3JpcHQAa2F5YWhsaQBpbmJhbXVtc3VwcGxlbWVudABzeWxvdGluYWdyaQB0aWJ0AGVwcmVzAHRpYmV0YW4AZWxiYQBvc21hbnlhAGluZGl2ZXNha3VydQBvbGR0dXJraWMAY2hhbmdlc3doZW5sb3dlcmNhc2VkAGN5cHJvbWlub2FuAGluZXRoaW9waWNleHRlbmRlZABlbW9qaXByZXNlbnRhdGlvbgBhbnkAb3RoZXJsb3dlcmNhc2UAb3VncgBpbmhlYnJldwBzb2Z0ZG90dGVkAGlubWF0aGVtYXRpY2Fsb3BlcmF0b3JzAGluYWxjaGVtaWNhbHN5bWJvbHMAaW5tYWhqb25ndGlsZXMAaGFuZ3VsAGV4dABvbWF0aABpbnRhbmd1dGNvbXBvbmVudHMAb3RoZXJsZXR0ZXIAbmJhdABuYWJhdGFlYW4AbnNodQBwYXJhZ3JhcGhzZXBhcmF0b3IAaW5hcmFiaWNleHRlbmRlZGIAaW5sYXRpbmV4dGVuZGVkZwBjaGFuZ2Vzd2hlbnVwcGVyY2FzZWQAaHVuZwBpbnBsYXlpbmdjYXJkcwBpbmFyYWJpY3N1cHBsZW1lbnQAaW55aWppbmdoZXhhZ3JhbXN5bWJvbHMAaW5waG9uZXRpY2V4dGVuc2lvbnMAb3RoZXJ1cHBlcmNhc2UAb3RoZXJpZHN0YXJ0AGVsYmFzYW4AZWx5bQBjZgBpbmluZGljc2l5YXFudW1iZXJzAG90aGVyc3ltYm9sAGV4dGVuZGVyAGV4dHBpY3QAd3NwYWNlAHBmAGVseW1haWMAaW50YW5ndXRzdXBwbGVtZW50AGN5cHJpb3QAc3ltYm9sAGluY3lyaWxsaWNleHRlbmRlZGIAaW5zdXBlcnNjcmlwdHNhbmRzdWJzY3JpcHRzAGlueWlzeWxsYWJsZXMAaW5waG9uZXRpY2V4dGVuc2lvbnNzdXBwbGVtZW50AG9sZHNvZ2RpYW4AaW5nZW9yZ2lhbmV4dGVuZGVkAGhsdXcAZGlnaXQAaW5oYW5ndWxqYW1vZXh0ZW5kZWRiAGluaGlnaHByaXZhdGV1c2VzdXJyb2dhdGVzAGlucGFoYXdoaG1vbmcAb2doYW0AaW5zdXBwbGVtZW50YWxhcnJvd3NhAG91cHBlcgBhZ2hiAG90aGVybWF0aABudXNodQBzb3lvbWJvAGlubGF0aW5leHRlbmRlZGIAYWxwaGFiZXRpYwBpbnN1cHBsZW1lbnRhbGFycm93c2MAaW5zdXBwbGVtZW50YWxtYXRoZW1hdGljYWxvcGVyYXRvcnMAb3RoZXJkZWZhdWx0aWdub3JhYmxlY29kZXBvaW50AGRlcHJlY2F0ZWQAb2xkbm9ydGhhcmFiaWFuAGluY3lwcmlvdHN5bGxhYmFyeQBleHRlbmRlZHBpY3RvZ3JhcGhpYwB1bmlmaWVkaWRlb2dyYXBoAHBhaGF3aGhtb25nAGRpdmVzYWt1cnUAc2lnbndyaXRpbmcAdGFnYgB0aWZpbmFnaAB1cHBlcgBpbmhhbGZ3aWR0aGFuZGZ1bGx3aWR0aGZvcm1zAHVwcGVyY2FzZQBldGhpb3BpYwBtb2RpZmllcnN5bWJvbABvdGhlcnB1bmN0dWF0aW9uAHJlamFuZwBpbmV0aGlvcGljZXh0ZW5kZWRiAHRmbmcAaGV4AGluc3VwcGxlbWVudGFscHVuY3R1YXRpb24AdGdsZwBpbmxhdGluZXh0ZW5kZWRmAHRhZ2Fsb2cAaGFuaWZpcm9oaW5neWEAZWNvbXAAaW5nbGFnb2xpdGljc3VwcGxlbWVudABoZXhkaWdpdABjaGFuZ2Vzd2hlbmNhc2Vmb2xkZWQAZGFzaHB1bmN0dWF0aW9uAG9sZHNvdXRoYXJhYmlhbgBkdXBsAGluZWd5cHRpYW5oaWVyb2dseXBocwB0ZWx1Z3UAdXBwZXJjYXNlbGV0dGVyAGluZWd5cHRpYW5oaWVyb2dseXBoZm9ybWF0Y29udHJvbHMAaHlwaGVuAGhlYnJldwBpbmhpZ2hzdXJyb2dhdGVzAHp5eXkAb2dyZXh0AG90aGVyZ3JhcGhlbWVleHRlbmQAZGVwAGluc3VwcGxlbWVudGFsYXJyb3dzYgBkZWZhdWx0aWdub3JhYmxlY29kZXBvaW50AGluaGFuZ3VsY29tcGF0aWJpbGl0eWphbW8Ab2xkdXlnaHVyAGluc3VwcGxlbWVudGFyeXByaXZhdGV1c2VhcmVhYQBpbmJvcG9tb2ZvZXh0ZW5kZWQAaW5zdXBwbGVtZW50YWxzeW1ib2xzYW5kcGljdG9ncmFwaHMAbnlpYWtlbmdwdWFjaHVlaG1vbmcAb3BlbnB1bmN0dWF0aW9uAGVneXAAZHVwbG95YW4AaW5ib3hkcmF3aW5nAGVneXB0aWFuaGllcm9nbHlwaHMAaW5zdXBwbGVtZW50YXJ5cHJpdmF0ZXVzZWFyZWFiAAAAIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGAAAOgWIAJABEwA5Bl8EYAMHAGEFCAAQAmcAAwAQAJYF5gQ4ALUARgF9Ag0FGgMhBakFCgAEAAcAIRghGCEYIRgAADoFiACQARMAOQZfBGADBwBhBQgAEAJnAAMAEACWBeYEOAC1AEYBfQINBRoDIQWpBQoABAAHACEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYIRghGCEYAEHxqicLpIgBAQIDBAUGBwgJCgsMDQ4PEBESExQVFhcYGRobHB0eHyAhIiMkJSYnKCkqKywtLi8wMTIzNDU2Nzg5Ojs8PT4/QGFiY2RlZmdoaWprbG1ub3BxcnN0dXZ3eHl6W1xdXl9gYWJjZGVmZ2hpamtsbW5vcHFyc3R1dnd4eXp7fH1+f4CBgoOEhYaHiImKi4yNjo+QkZKTlJWWl5iZmpucnZ6foKGio6SlpqeoqaqrrK2ur7CxsrO0tba3uLm6u7y9vr/AwcLDxMXGx8jJysvMzc7P0NHS09TV1tfY2drb3N3e3+Dh4uPk5ebn6Onq6+zt7u/w8fLz9PX29/j5+vv8/f7/AQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAgAAAAIAAAACAAAAAgAAAAIAAAACAAAAAgAAAAIAAAACAAAAAgAAAAIAAAACAAAAAgAAAAIAAAACAAAAAgAAAAIAAAACAAAAAgAAAAIAAAACAAAAAgAAAAIAAAACAAAAAgAAAAIAAAACAAAAAgAAAAIAAAACAAAAAgAAAAIAAAADAAAAAwAAAAMAAAADAAAAAwAAAAMAAAADAAAAAwAAAAMAAAADAAAAAwAAAAMAAAADAAAAAwAAAAMAAAADAAAABAAAAAQAAAAEAAAABAAAAAQAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAAEAAAABAAAAAQAAAP///////wAA////////AAD///////8AAP///////wAA////////AAD///////8AAP///////wAA////////AAAKBAEAiQ0BAAosAAAuCgEACgQAAAUEAQAKHgAAWgcBAAofAADDCAEACgEAALoAAQB9AQAAXwEBAH2nAABCBwEAfasAAGcGAQCFHwAAmgACAIkfAACGAAIAiQEAAGsCAQCFqwAAfwYBAImrAACLBgEAhRwAALoDAQCFDAEAxw4BAIkMAQDTDgEAhCwAAL4KAQDzHwAAYAACAIQeAAASCAEAhB8AAJUAAgCEAQAAaAEBAISnAADADAEAhKsAAHwGAQDtLAAAUQsBAIQcAAC6AwEAhAwBAMQOAQBMHgAAvQcBAEwfAAAjCQEATAEAABcBAQBMpwAAewwBAFcAAABBAAEATAAAAB8AAQCEpgAAGwwBAJAsAADQCgEAkAQAAFQEAQCQHgAAJAgBAJAfAACpAAIAkAEAAHQCAQCQpwAAyQwBAJCrAACgBgEATKYAAOILAQCQHAAAtgUBAJAMAQDoDgEA2x8AAGIJAQDbAQAAwgEBAFduAQD2DwEATG4BANUPAQDbAAAAnAABAPsfAAB0CQEAkKYAAC0MAQCyBAEA6Q0BALIsAAADCwEAsgQAAIcEAQCyHgAASAgBALIfAAD5AAIAsgEAALwCAQCypwAAxQIBALKrAAAGBwEA9acAABcNAQCyHAAAHAYBALIMAQBODwEAuAQBAPsNAQC4LAAADAsBALgEAACQBAEAuB4AAFEIAQC4HwAAdwkBALgBAACYAQEAuKcAAPYMAQC4qwAAGAcBAHerAABVBgEAuBwAAC4GAQCmLAAA8QoBAKYEAAB1BAEAph4AADYIAQCmHwAA7wACAKYBAACnAgEApqcAAOoMAQCmqwAA4gYBAOkfAACGCQEAphwAAPgFAQCmDAEAKg8BAKQsAADuCgEApAQAAHIEAQCkHgAAMwgBAKQfAADlAAIApAEAAIYBAQCkpwAA5wwBAKSrAADcBgEA8QEAAOMBAQCkHAAA8gUBAKQMAQAkDwEAoCwAAOgKAQCgBAAAbAQBAKAeAAAtCAEAoB8AANEAAgCgAQAAgAEBAKCnAADhDAEAoKsAANAGAQDnHwAALwADAKAcAADmBQEAoAwBABgPAQCuLAAA/QoBAK4EAACBBAEArh4AAEIIAQCuHwAA7wACAK4BAACzAgEArqcAAI8CAQCuqwAA+gYBAOMfAAApAAMArhwAABAGAQCuDAEAQg8BAKwsAAD6CgEArAQAAH4EAQCsHgAAPwgBAKwfAADlAAIArAEAAIwBAQCspwAAfQIBAKyrAAD0BgEA+xMAADkHAQCsHAAACgYBAKwMAQA8DwEAoiwAAOsKAQCiBAAAbwQBAKIeAAAwCAEAoh8AANsAAgCiAQAAgwEBAKKnAADkDAEAoqsAANYGAQCyEAAAjQsBAKIcAADsBQEAogwBAB4PAQCyGAEAhw8BAD0fAAAOCQEAPQEAAAIBAQCwBAEA4w0BALAsAAAACwEAsAQAAIQEAQCwHgAARQgBAN0AAACiAAEAuBAAAJ8LAQCwpwAAyAIBALCrAAAABwEAuBgBAJkPAQCwHAAAFgYBALAMAQBIDwEA0wQBAEwOAQDXHwAAHwADANcBAAC8AQEAphAAAGkLAQDTHwAAGQADANMBAAC2AQEAphgBAGMPAQCJAwAA4wIBANMAAACHAAEAqiwAAPcKAQCqBAAAewQBAKoeAAA8CAEAqh8AANsAAgCkEAAAYwsBAKqnAACGAgEAqqsAAO4GAQCkGAEAXQ8BAKocAAAEBgEAqgwBADYPAQCoLAAA9AoBAKgEAAB4BAEAqB4AADkIAQCoHwAA0QACAKAQAABXCwEAqKcAAO0MAQCoqwAA6AYBAKAYAQBRDwEAqBwAAP4FAQCoDAEAMA8BANAEAQBDDgEA0CwAADALAQDQBAAAtAQBANAeAAB1CAEArhAAAIELAQCQAwAAGQADANCnAAAODQEArhgBAHsPAQDQAAAAfgABAL4EAQANDgEAviwAABULAQC+BAAAmQQBAL4eAABaCAEAvh8AAAUDAQCsEAAAewsBAL6nAAD/DAEAvqsAACoHAQCsGAEAdQ8BAL4cAAA6BgEA6ywAAE4LAQBvLAAAXAIBAAoCAAAFAgEA6x8AAG4JAQBvHwAASgkBAKIQAABdCwEA9QMAAPYCAQBnLAAAqQoBAKIYAQBXDwEAmCwAANwKAQCYBAAAYAQBAJgeAAAmAAIAmB8AAKkAAgCYAQAAdwEBAJinAADVDAEAmKsAALgGAQD/AwAA2gIBAJgcAADOBQEAmAwBAAAPAQCwEAAAhwsBAHOrAABJBgEAN/8AAF8NAQCwGAEAgQ8BAF8fAAAyCQEApgMAADADAQCYpgAAOQwBAEwCAABWAgEAliwAANkKAQCWBAAAXQQBAJYeAAAQAAIAlh8AAMcAAgCWAQAAjAIBAJanAADSDAEAlqsAALIGAQCkAwAAKgMBAJYcAADIBQEAlgwBAPoOAQDxAwAAIgMBAKoQAAB1CwEA9x8AAEMAAwD3AQAAngEBAKoYAQBvDwEAX24BAA4QAQCWpgAANgwBAKADAAAeAwEA4CwAAEgLAQDgBAAAzAQBAOAeAACNCAEAqBAAAG8LAQDgAQAAywEBAGMsAABFBwEAqBgBAGkPAQC8BAEABw4BALwsAAASCwEAvAQAAJYEAQC8HgAAVwgBALwfAAA+AAIAvAEAAJsBAQC8pwAA/AwBALyrAAAkBwEAugQBAAEOAQC6LAAADwsBALoEAACTBAEAuh4AAFQIAQC6HwAATQkBAN8AAAAYAAIAuqcAAPkMAQC6qwAAHgcBAL4QAACxCwEAuhwAADQGAQD5HwAAaAkBAL4YAQCrDwEAtgQBAPUNAQC2LAAACQsBALYEAACNBAEAth4AAE4IAQC2HwAAOgACAGUhAACeCQEAtqcAAPMMAQC2qwAAEgcBAG8hAAC8CQEAthwAACgGAQACBAEAcQ0BAAIsAAAWCgEAAgQAAO0DAQACHgAATgcBAGchAACkCQEAAgEAAK4AAQCwAwAAKQADAArpAQAvEAEAxwQBACgOAQBhIQAAkgkBAMcEAAClBAEAWR8AACkJAQDHHwAADwADAMcBAAClAQEAx6cAAAgNAQBZAAAARwABAMcAAABjAAEAdSwAALUKAQCULAAA1goBAJQEAABaBAEAlB4AACoIAQCUHwAAvQACAJQBAACAAgEAdasAAE8GAQCUqwAArAYBAKoDAAA+AwEAlBwAAMIFAQCUDAEA9A4BAH0FAQBzDgEACgUAAAsFAQBZbgEA/A8BAF0fAAAvCQEAhQUBAIsOAQCJBQEAlw4BAJSmAAAzDAEAqAMAADcDAQCSLAAA0woBAJIEAABXBAEAkh4AACcIAQCSHwAAswACAP///////wAAkqcAAMwMAQCSqwAApgYBAIQFAQCIDgEAkhwAALwFAQCSDAEA7g4BANADAADsAgEAYyEAAJgJAQC8EAAAqwsBAD0CAAB6AQEAXW4BAAgQAQC8GAEApQ8BAJKmAAAwDAEATAUAAJUFAQD///////8AAP///////wAAuhAAAKULAQD///////8AAPkTAAAzBwEAuhgBAJ8PAQCQBQEAqQ4BAJwsAADiCgEAnAQAAGYEAQC4JAAAyAkBAJwfAAC9AAIAnAEAAJgCAQCcpwAA2wwBAJyrAADEBgEAthAAAJkLAQCcHAAA2gUBAJwMAQAMDwEAthgBAJMPAQCGLAAAwQoBAJgDAAAAAwEAhh4AABUIAQCGHwAAnwACAIYBAABoAgEAhqcAAMMMAQCGqwAAggYBAEcBAAARAQEAhhwAANQDAQCGDAEAyg4BAEcAAAASAAEA2R8AAIAJAQDZAQAAvwEBAP///////wAAxxAAAMkLAQDZAAAAlgABAIamAAAeDAEA/RMAAD8HAQB3BQEAZA4BAJYDAAD6AgEAtAQBAO8NAQC0LAAABgsBALQEAACKBAEAtB4AAEsIAQC0HwAAMgACAEduAQDGDwEAtKcAAPAMAQC0qwAADAcBAPcDAAB6AwEAtBwAACIGAQCaLAAA3woBAJoEAABjBAEAmh4AAAAAAgCaHwAAswACAP///////wAAmqcAANgMAQCaqwAAvgYBAOADAABcAwEAmhwAANQFAQCaDAEABg8BADcFAABWBQEAjiwAAM0KAQCOBAAAUQQBAI4eAAAhCAEAjh8AAJ8AAgCOAQAAxQEBAJqmAAA8DAEAjqsAAJoGAQA8HgAApQcBADwfAAALCQEAjgwBAOIOAQA8pwAAYwwBAIosAADHCgEAigQAAEsEAQCKHgAAGwgBAIofAACLAAIAigEAAG4CAQCOpgAAKgwBAIqrAACOBgEA+QMAAHQDAQCtHwAA6gACAIoMAQDWDgEAracAAJUCAQCtqwAA9wYBAP///////wAArRwAAA0GAQCtDAEAPw8BAIIsAAC7CgEAiqYAACQMAQCCHgAADwgBAIIfAACLAAIAggEAAGUBAQCCpwAAvQwBAIKrAAB2BgEAbSwAAF8CAQCCHAAArAMBAIIMAQC+DgEAbR8AAEQJAQBxqwAAQwYBAIAsAAC4CgEAgAQAAEgEAQCAHgAADAgBAIAfAACBAAIAgqYAABgMAQCApwAAugwBAICrAABwBgEAPQUAAGgFAQCAHAAAhgMBAIAMAQC4DgEA////////AAD9AwAA1AIBAI0fAACaAAIAlAMAAPMCAQCNpwAAgwIBAI2rAACXBgEAgKYAABUMAQBbHwAALAkBAI0MAQDfDgEAtBAAAJMLAQDEBAEAHw4BAMQsAAAeCwEAtBgBAI0PAQDEHgAAYwgBAMQfAAA2AAIAxAEAAKEBAQDEpwAAzwwBAP///////wAAxAAAAFkAAQDCBAEAGQ4BAMIsAAAbCwEAkgMAAOwCAQDCHgAAYAgBAMIfAAD9AAIAviQAANoJAQDCpwAABQ0BAFtuAQACEAEAwgAAAFMAAQCeLAAA5QoBAJ4EAABpBAEAnh4AABgAAgCeHwAAxwACAP///////wAAnqcAAN4MAQCeqwAAygYBAAICAAD5AQEAnhwAAOAFAQCeDAEAEg8BAIwsAADKCgEAjAQAAE4EAQCMHgAAHggBAIwfAACVAAIAOx8AAAgJAQA7AQAA/wABAIyrAACUBgEArRAAAH4LAQCcAwAAEQMBAIwMAQDcDgEArRgBAHgPAQD///////8AAIgsAADECgEA////////AACIHgAAGAgBAIgfAACBAAIAjKYAACcMAQD///////8AAIirAACIBgEAhgMAAN0CAQCIHAAA3gsBAIgMAQDQDgEASh4AALoHAQBKHwAAHQkBAEoBAAAUAQEASqcAAHgMAQBtIQAAtgkBAEoAAAAYAAEAiKYAACEMAQAcBAEAvw0BABwsAABkCgEAHAQAAKYDAQAcHgAAdQcBABwfAADhCAEAHAEAANUAAQBzBQEAWA4BAEqmAADeCwEANf8AAFkNAQAWBAEArQ0BABYsAABSCgEAFgQAAJQDAQAWHgAAbAcBAEpuAQDPDwEAFgEAAMwAAQDaLAAAPwsBANoEAADDBAEA2h4AAIQIAQDaHwAAXwkBALwkAADUCQEAmgMAAAoDAQDEEAAAwwsBANoAAACZAAEAFAQBAKcNAQAULAAATAoBABQEAACNAwEAFB4AAGkHAQC6JAAAzgkBABQBAADJAAEA////////AADCEAAAvQsBAI4DAABHAwEAGgQBALkNAQAaLAAAXgoBABoEAACgAwEAGh4AAHIHAQAaHwAA2wgBABoBAADSAAEA////////AAC2JAAAwgkBAP///////wAA////////AACKAwAA5gIBABgEAQCzDQEAGCwAAFgKAQAYBAAAmgMBABgeAABvBwEAGB8AANUIAQAYAQAAzwABAA4EAQCVDQEADiwAADoKAQAOBAAAEQQBAA4eAABgBwEADh8AAM8IAQAOAQAAwAABAALpAQAXEAEA////////AADHJAAA9QkBAAwEAQCPDQEADCwAADQKAQAMBAAACwQBAAweAABdBwEADB8AAMkIAQAMAQAAvQABAAgEAQCDDQEACCwAACgKAQAIBAAA/wMBAAgeAABXBwEACB8AAL0IAQAIAQAAtwABAAYEAQB9DQEABiwAACIKAQAGBAAA+QMBAAYeAABUBwEA////////AAAGAQAAtAABAP///////wAAAgUAAP8EAQAEBAEAdw0BAAQsAAAcCgEABAQAAPMDAQAEHgAAUQcBAP///////wAABAEAALEAAQAABAEAaw0BAAAsAAAQCgEAAAQAAOcDAQAAHgAASwcBAP///////wAAAAEAAKsAAQD///////8AAHUFAQBeDgEAlAUBALIOAQAqLAAAjgoBACoEAADUAwEAKh4AAIoHAQAqHwAA7QgBACoBAADqAAEAKqcAAEsMAQDCAwAAJgMBACYEAQDdDQEAJiwAAIIKAQAmBAAAyAMBACYeAACEBwEAtwQBAPgNAQAmAQAA5AABACanAABFDAEAngMAABgDAQC3HwAACgADALcBAADCAgEAkgUBAK8OAQC3qwAAFQcBAP///////wAAtxwAACsGAQB7AQAAXAEBAHunAAC0DAEAe6sAAGEGAQCMAwAARAMBAC4sAACaCgEALgQAAOEDAQAuHgAAkAcBAC4fAAD5CAEALgEAAPAAAQAupwAAUQwBAI8fAACkAAIAjwEAAHECAQD///////8AAI+rAACdBgEAAvsAAAwAAgCIAwAA4AIBAI8MAQDlDgEA////////AAAsLAAAlAoBACwEAADbAwEALB4AAI0HAQAsHwAA8wgBACwBAADtAAEALKcAAE4MAQAoLAAAiAoBACgEAADOAwEAKB4AAIcHAQAoHwAA5wgBACgBAADnAAEAKKcAAEgMAQD///////8AAP///////wAAhgUBAI4OAQAkBAEA1w0BACQsAAB8CgEAJAQAAMIDAQAkHgAAgQcBAEcFAACGBQEAJAEAAOEAAQAkpwAAQgwBACIEAQDRDQEAIiwAAHYKAQAiBAAAugMBACIeAAB+BwEAM/8AAFMNAQAiAQAA3gABACKnAAA/DAEA2gMAAFMDAQDABAEAEw4BAMAsAAAYCwEAwAQAALEEAQDAHgAAXQgBADH/AABNDQEAOwIAAEECAQDApwAAAg0BALMEAQDsDQEAwAAAAE0AAQD///////8AACohAAAbAAEAsx8AAD4AAgCzAQAAkgEBALOnAAAaDQEAs6sAAAkHAQD///////8AALMcAAAfBgEA////////AAAmIQAAOgMBADUFAABQBQEAtxAAAJwLAQCxBAEA5g0BAP///////wAAtxgBAJYPAQBKAgAAUwIBAI4FAQCjDgEAsQEAALkCAQCxpwAAsAIBALGrAAADBwEA////////AACxHAAAGQYBALEMAQBLDwEAPAUAAGUFAQD///////8AABwCAAAgAgEATh4AAMAHAQCKBQEAmg4BAE4BAAAaAQEATqcAAH4MAQCrHwAA4AACAE4AAAAlAAEAq6cAAHcCAQCrqwAA8QYBABYCAAAXAgEAqxwAAAcGAQCrDAEAOQ8BAJceAAAiAAIAlx8AAMwAAgCXAQAAiQIBAE6mAADlCwEAl6sAALUGAQCCBQEAgg4BAJccAADLBQEAlwwBAP0OAQD///////8AAE5uAQDbDwEAcQUBAFIOAQAUAgAAFAIBAMQkAADsCQEAfiwAAEQCAQB+BAAARQQBAH4eAAAJCAEAKv8AADgNAQCABQEAfA4BAH6nAAC3DAEAfqsAAGoGAQAaAgAAHQIBAMIkAADmCQEAqR8AANYAAgCpAQAArQIBACb/AAAsDQEAqasAAOsGAQCNBQEAoA4BAKkcAAABBgEAqQwBADMPAQD///////8AAP///////wAAGAIAABoCAQDAEAAAtwsBACAEAQDLDQEAICwAAHAKAQAgBAAAswMBACAeAAB7BwEADgIAAAsCAQAgAQAA2wABALMQAACQCwEA////////AAAu/wAARA0BALMYAQCKDwEA////////AACRHwAArgACAJEBAABxAQEADAIAAAgCAQCRqwAAowYBAP///////wAAkRwAALkFAQCRDAEA6w4BAP///////wAACAIAAAICAQCxEAAAigsBANUBAAC5AQEALP8AAD4NAQCxGAEAhA8BANUAAACNAAEABgIAAP8BAQCPAwAASgMBAP///////wAAKP8AADINAQDULAAANgsBANQEAAC6BAEA1B4AAHsIAQCMBQEAnQ4BAAQCAAD8AQEAqxAAAHgLAQA7BQAAYgUBANQAAACKAAEAqxgBAHIPAQAk/wAAJg0BAAACAAD2AQEA////////AAD///////8AABzpAQBlEAEA////////AACIBQEAlA4BACL/AAAgDQEA////////AAAqAgAAMgIBAP///////wAA/gQAAPkEAQD+HgAAuggBABbpAQBTEAEA/gEAAPMBAQD///////8AAEoFAACPBQEAJgIAACwCAQAeBAEAxQ0BAB4sAABqCgEAHgQAAKwDAQAeHgAAeAcBAP///////wAAHgEAANgAAQD///////8AAKkQAAByCwEAHAUAACYFAQAU6QEATRABAKkYAQBsDwEA0gQBAEkOAQDSLAAAMwsBANIEAAC3BAEA0h4AAHgIAQDSHwAAFAADAC4CAAA4AgEAFgUAAB0FAQAa6QEAXxABANIAAACEAAEApx8AAPQAAgCnAQAAiQEBAP///////wAAp6sAAOUGAQD///////8AAKccAAD7BQEApwwBAC0PAQD///////8AAP///////wAAGOkBAFkQAQAsAgAANQIBABQFAAAaBQEAfAQAAEIEAQB8HgAABggBADMFAABKBQEADukBADsQAQAoAgAALwIBAHyrAABkBgEASB4AALcHAQBIHwAAFwkBABoFAAAjBQEASKcAAHUMAQAxBQAARAUBAEgAAAAVAAEADOkBADUQAQBrLAAArwoBACQCAAApAgEAqwMAAEEDAQBrHwAAPgkBAP///////wAACOkBACkQAQAYBQAAIAUBAEimAADbCwEAIgIAACYCAQD///////8AAJcDAAD9AgEABukBACMQAQAOBQAAEQUBAEhuAQDJDwEA////////AABWHgAAzAcBAFYfAAA+AAMAVgEAACYBAQBWpwAAigwBAATpAQAdEAEAVgAAAD4AAQAMBQAADgUBAP///////wAAFvsAAH0AAgD///////8AAADpAQAREAEA////////AAAIBQAACAUBAP///////wAAVqYAAPELAQD///////8AAKkDAAA6AwEA////////AAAGBQAABQUBAP///////wAAVm4BAPMPAQD///////8AABT7AABtAAIA////////AAC3JAAAxQkBAP///////wAABAUAAAIFAQDiLAAASwsBAOIEAADPBAEA4h4AAJAIAQDiHwAAJAADAOIBAADOAQEAAAUAAPwEAQBOAgAAWQIBAKcQAABsCwEA////////AAD///////8AAKcYAQBmDwEAkQMAAOkCAQD///////8AACoFAAA7BQEAVB4AAMkHAQBUHwAAOQADAFQBAAAjAQEAVKcAAIcMAQD///////8AAFQAAAA4AAEA1QMAADADAQAmBQAANQUBADkfAAACCQEAOQEAAPwAAQASBAEAoQ0BABIsAABGCgEAEgQAAIYDAQASHgAAZgcBAFSmAADuCwEAEgEAAMYAAQAQBAEAmw0BABAsAABACgEAEAQAAIADAQAQHgAAYwcBAFRuAQDtDwEAEAEAAMMAAQD///////8AAGshAACwCQEALgUAAEEFAQCPBQEApg4BAD8fAAAUCQEAPwEAAAUBAQAG+wAAHQACAFIeAADGBwEAUh8AADQAAwBSAQAAIAEBAFKnAACEDAEA////////AABSAAAAMQABAP///////wAABPsAAAUAAwD+AwAA1wIBACwFAAA+BQEAIAIAAH0BAQD///////8AAMAkAADgCQEAAPsAAAQAAgBSpgAA6wsBACgFAAA4BQEAUB4AAMMHAQBQHwAAVAACAFABAAAdAQEAUKcAAIEMAQBSbgEA5w8BAFAAAAArAAEA////////AADKBAEAMQ4BAMosAAAnCwEAJAUAADIFAQDKHgAAbAgBAMofAABZCQEAygEAAKkBAQD///////8AAFCmAADoCwEAygAAAGwAAQAiBQAALwUBAKcDAAA0AwEA8AQAAOQEAQDwHgAApQgBAFBuAQDhDwEA8AEAABQAAgDYLAAAPAsBANgEAADABAEA2B4AAIEIAQDYHwAAfQkBAP///////wAA2KcAABQNAQD///////8AANgAAACTAAEA1iwAADkLAQDWBAAAvQQBANYeAAB+CAEA1h8AAEwAAgD///////8AANanAAARDQEA////////AADWAAAAkAABAMgEAQArDgEAyCwAACQLAQC5BAEA/g0BAMgeAABpCAEAyB8AAFMJAQDIAQAApQEBALkfAAB6CQEA////////AADIAAAAZgABALmrAAAbBwEA////////AAC5HAAAMQYBAB4CAAAjAgEAxgQBACUOAQDGLAAAIQsBAP///////wAAxh4AAGYIAQDGHwAAQwACAE4FAACbBQEAxqcAAEgHAQDFBAEAIg4BAMYAAABgAAEAxQQAAKIEAQC7BAEABA4BALUEAQDyDQEAxQEAAKEBAQDFpwAAqgIBALsfAABQCQEAxQAAAFwAAQC1AQAAlQEBALurAAAhBwEAtasAAA8HAQC1AAAAEQMBALUcAAAlBgEArx8AAPQAA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AR.ErrnoError(63);Ak.ops_table||(Ak.ops_table={dir:{node:{getattr:Ak.node_ops.getattr,setattr:Ak.node_ops.setattr,lookup:Ak.node_ops.lookup,mknod:Ak.node_ops.mknod,rename:Ak.node_ops.rename,unlink:Ak.node_ops.unlink,rmdir:Ak.node_ops.rmdir,readdir:Ak.node_ops.readdir,symlink:Ak.node_ops.symlink},stream:{llseek:Ak.stream_ops.llseek}},file:{node:{getattr:Ak.node_ops.getattr,setattr:Ak.node_ops.setattr},stream:{llseek:Ak.stream_ops.llseek,read:Ak.stream_ops.read,write:Ak.stream_ops.write,allocate:Ak.stream_ops.allocate,mmap:Ak.stream_ops.mmap,msync:Ak.stream_ops.msync}},link:{node:{getattr:Ak.node_ops.getattr,setattr:Ak.node_ops.setattr,readlink:Ak.node_ops.readlink},stream:{}},chrdev:{node:{getattr:Ak.node_ops.getattr,setattr:Ak.node_ops.setattr},stream:AR.chrdev_stream_ops}});var I=AR.createNode(A,Q,B,g);return AR.isDir(I.mode)?(I.node_ops=Ak.ops_table.dir.node,I.stream_ops=Ak.ops_table.dir.stream,I.contents={}):AR.isFile(I.mode)?(I.node_ops=Ak.ops_table.file.node,I.stream_ops=Ak.ops_table.file.stream,I.usedBytes=0,I.contents=null):AR.isLink(I.mode)?(I.node_ops=Ak.ops_table.link.node,I.stream_ops=Ak.ops_table.link.stream):AR.isChrdev(I.mode)&&(I.node_ops=Ak.ops_table.chrdev.node,I.stream_ops=Ak.ops_table.chrdev.stream),I.timestamp=Date.now(),A&&(A.contents[Q]=I,A.timestamp=I.timestamp),I},getFileDataAsTypedArray:function(A){return A.contents?A.contents.subarray?A.contents.subarray(0,A.usedBytes):new Uint8Array(A.contents):new Uint8Array(0)},expandFileStorage:function(A,Q){var B=A.contents?A.contents.length:0;if(!(B>=Q)){Q=Math.max(Q,B*(B<1048576?2:1.125)>>>0),0!=B&&(Q=Math.max(Q,256));var g=A.contents;A.contents=new Uint8Array(Q),A.usedBytes>0&&A.contents.set(g.subarray(0,A.usedBytes),0)}},resizeFileStorage:function(A,Q){if(A.usedBytes!=Q){if(0==Q)A.contents=null,A.usedBytes=0;else{var 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C(null);Q.type.syncfs(Q,A,C)})},mount:(A,Q,B)=>{var g,I="/"===B,C=!B;if(I&&AR.root)throw new AR.ErrnoError(10);if(!I&&!C){var E=AR.lookupPath(B,{follow_mount:!1});if(B=E.path,g=E.node,AR.isMountpoint(g))throw new AR.ErrnoError(10);if(!AR.isDir(g.mode))throw new AR.ErrnoError(54)}var D={type:A,opts:Q,mountpoint:B,mounts:[]},w=A.mount(D);return w.mount=D,D.root=w,I?AR.root=w:g&&(g.mounted=D,g.mount&&g.mount.mounts.push(D)),w},unmount:A=>{var Q=AR.lookupPath(A,{follow_mount:!1});if(!AR.isMountpoint(Q.node))throw new AR.ErrnoError(28);var B=Q.node,g=B.mounted,I=AR.getMounts(g);Object.keys(AR.nameTable).forEach(A=>{for(var Q=AR.nameTable[A];Q;){var B=Q.name_next;I.includes(Q.mount)&&AR.destroyNode(Q),Q=B}}),B.mounted=null;var C=B.mount.mounts.indexOf(g);B.mount.mounts.splice(C,1)},lookup:(A,Q)=>A.node_ops.lookup(A,Q),mknod:(A,Q,B)=>{var g=AR.lookupPath(A,{parent:!0}).node,I=AF.basename(A);if(!I||"."===I||".."===I)throw new AR.ErrnoError(28);var C=AR.mayCreate(g,I);if(C)throw new 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Q=AR.lookupPath(A,{parent:!0}).node;if(!Q)throw new AR.ErrnoError(44);var B=AF.basename(A),g=AR.lookupNode(Q,B),I=AR.mayDelete(Q,B,!1);if(I)throw new AR.ErrnoError(I);if(!Q.node_ops.unlink)throw new AR.ErrnoError(63);if(AR.isMountpoint(g))throw new AR.ErrnoError(10);Q.node_ops.unlink(Q,B),AR.destroyNode(g)},readlink:A=>{var Q=AR.lookupPath(A).node;if(!Q)throw new AR.ErrnoError(44);if(!Q.node_ops.readlink)throw new AR.ErrnoError(28);return AM.resolve(AR.getPath(Q.parent),Q.node_ops.readlink(Q))},stat:(A,Q)=>{var B=AR.lookupPath(A,{follow:!Q}).node;if(!B)throw new AR.ErrnoError(44);if(!B.node_ops.getattr)throw new AR.ErrnoError(63);return B.node_ops.getattr(B)},lstat:A=>AR.stat(A,!0),chmod:(A,Q,B)=>{var g;if(!(g="string"==typeof A?AR.lookupPath(A,{follow:!B}).node:A).node_ops.setattr)throw new AR.ErrnoError(63);g.node_ops.setattr(g,{mode:4095&Q|-4096&g.mode,timestamp:Date.now()})},lchmod:(A,Q)=>{AR.chmod(A,Q,!0)},fchmod:(A,Q)=>{var B=AR.getStream(A);if(!B)throw new 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QP(){!(v>0)&&(function(){if(A.preRun)for("function"==typeof A.preRun&&(A.preRun=[A.preRun]);A.preRun.length;){var Q;Q=A.preRun.shift(),W.unshift(Q)}AD(W)}(),v>0||(A.setStatus?(A.setStatus("Running..."),setTimeout(function(){setTimeout(function(){A.setStatus("")},1),Q()},1)):Q()));function Q(){!J&&(J=!0,A.calledRun=!0,d||(A.noFSInit||AR.init.initialized||AR.init(),AR.ignorePermissions=!1,AD(b),B(A),A.onRuntimeInitialized&&A.onRuntimeInitialized(),function(){if(A.postRun)for("function"==typeof A.postRun&&(A.postRun=[A.postRun]);A.postRun.length;){var Q;Q=A.postRun.shift(),V.unshift(Q)}AD(V)}()))}}if(A.dynCall_jiji=function(){return(A.dynCall_jiji=A.asm.Ua).apply(null,arguments)},A.dynCall_iiiiij=function(){return(A.dynCall_iiiiij=A.asm.Va).apply(null,arguments)},A.dynCall_iiiiijj=function(){return(A.dynCall_iiiiijj=A.asm.Wa).apply(null,arguments)},A.dynCall_iiiiiijj=function(){return(A.dynCall_iiiiiijj=A.asm.Xa).apply(null,arguments)},A.FS=AR,X=function A(){J||QP(),J||(X=A)},A.preInit)for("function"==typeof A.preInit&&(A.preInit=[A.preInit]);A.preInit.length>0;)A.preInit.pop()();return QP(),A.ready}),C=null;function E(){return Q(this,void 0,void 0,function(){return B(this,function(A){switch(A.label){case 0:if(null!=C)return[3/*break*/,2];return[4/*yield*/,I()];case 1:C=A.sent(),A.label=2;case 2:return[2/*return*/]}})})}/** - * A universal tokenizer that is backed by either - * HF tokenizers rust library or sentencepiece - */var D=/** @class */function(){function A(A){this.handle=A}return(/** - * Dispose this tokenizer. - * - * Call this function when we no longer needs to - */A.prototype.dispose=function(){this.handle.delete()},/** - * Encode text to token ids. - * - * @param text Input text. - * @returns The output tokens - */A.prototype.encode=function(A){var Q=this.handle.Encode(A),B=C.vecIntToView(Q).slice();return Q.delete(),B},/** - * Decode the token ids into string. - * - * @param ids the input ids. - * @returns The decoded string. - */A.prototype.decode=function(A){var Q=C.vecIntFromJSArray(A),B=this.handle.Decode(Q).slice();return Q.delete(),B},/** - * Create a tokenizer from jsonArrayBuffer - * - * @param json The input array buffer that contains json text. - * @returns The tokenizer - */A.fromJSON=function(g){return Q(this,void 0,void 0,function(){return B(this,function(Q){switch(Q.label){case 0:return[4/*yield*/,E()];case 1:return Q.sent(),[2/*return*/,new A(C.Tokenizer.FromBlobJSON(g))]}})})},/** - * Create a tokenizer from byte-level BPE blobs. - * - * @param vocab The vocab blob. - * @param merges The merges blob. - * @param addedTokens The addedTokens blob - * @returns The tokenizer - */A.fromByteLevelBPE=function(g,I,D){return void 0===D&&(D=""),Q(this,void 0,void 0,function(){return B(this,function(Q){switch(Q.label){case 0:return[4/*yield*/,E()];case 1:return Q.sent(),[2/*return*/,new A(C.Tokenizer.FromBlobByteLevelBPE(g,I,D))]}})})},/** - * Create a tokenizer from sentencepiece model. - * - * @param model The model blob. - * @returns The tokenizer - */A.fromSentencePiece=function(g){return Q(this,void 0,void 0,function(){return B(this,function(Q){switch(Q.label){case 0:return[4/*yield*/,E()];case 1:return Q.sent(),[2/*return*/,new A(C.Tokenizer.FromBlobSentencePiece(g))]}})})},A)}();A.Tokenizer=D,A.default={Tokenizer:D},Object.defineProperty(A,"__esModule",{value:!0})}(Ak.exports);/** - * default libmap used in prebuilt - */const AR={model_list:[{model_url:"https://huggingface.co/mlc-ai/mlc-chat-RedPajama-INCITE-Chat-3B-v1-q4f32_0/resolve/main/",local_id:"RedPajama-INCITE-Chat-3B-v1-q4f32_0"},{model_url:"https://huggingface.co/mlc-ai/mlc-chat-vicuna-v1-7b-q4f32_0/resolve/main/",local_id:"vicuna-v1-7b-q4f32_0"}],model_lib_map:{"vicuna-v1-7b-q4f32_0":"https://raw.githubusercontent.com/mlc-ai/binary-mlc-llm-libs/main/vicuna-v1-7b-q4f32_0-webgpu-v1.wasm","RedPajama-INCITE-Chat-3B-v1-q4f32_0":"https://raw.githubusercontent.com/mlc-ai/binary-mlc-llm-libs/main/RedPajama-INCITE-Chat-3B-v1-q4f32_0-webgpu-v1.wasm"}};/** - * Helper to keep track of history conversations. - */class Ay{// TODO(tvm-team) confirm and remove -// private contextWindowStart = 0; -constructor(A){this.messages=[],this.config=A}getPromptArrayInternal(A,Q){if(0==this.config.seps.length)throw Error("Need seps to work");let B=A?[this.config.system+this.config.seps[0]]:[];if("Two"==this.config.separator_style){for(let A=Q;A>\n\nYou are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.\n\nIf you don't know the answer to a question, please don't share false information.\n<>\n\n ",roles:["[INST]","[/INST]"],offset:0,seps:[" "," "],separator_style:"Two",stop_str:"[INST]",add_bos:!0},Q));if("vicuna_v1.1"==A)return new Ay(Object.assign({system:"A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.",roles:["USER","ASSISTANT"],offset:0,seps:[" ",""],separator_style:"Two",stop_str:"",add_bos:!0},Q));if("wizardlm"==A)return new Ay(Object.assign({system:"You are an AI assistant that gives helpful, detailed, and polite answers to the user's questions.",roles:["","### Response"],offset:0,seps:["\n\n",""],separator_style:"Two",stop_str:"\n\n",add_bos:!0},Q));if("redpajama_chat"==A)return new Ay(Object.assign({system:"",roles:["",""],offset:0,seps:["",""],separator_style:"RedPajamaChat",stop_str:"",add_bos:!1},Q));if("wizard_coder_or_math"==A)return new Ay(Object.assign({system:"Below is an instruction that describes a task. Write a response that appropriately completes the request.",roles:["Instruction","Response"],offset:0,seps:["\n\n### ","\n\n### "],separator_style:"Two",stop_str:"",add_bos:!0},Q));throw Error("Unknown conv template "+A)}(B.conv_template,B.conv_config),this.stopStr=this.conversation.getStopStr(),this.device=this.tvm.webgpu(),A.beginScope(),this.vm=this.tvm.detachFromCurrentScope(this.tvm.createVirtualMachine(this.device)),this.prefill=this.tvm.detachFromCurrentScope(this.vm.getFunction("prefill")),this.decoding=this.tvm.detachFromCurrentScope(this.vm.getFunction("decode")),this.params=this.tvm.detachFromCurrentScope(this.tvm.getParamsFromCache("param",-1));let g=this.vm.getFunction("get_metadata"),I=g(),C=this.tvm.detachFromCurrentScope(I).toString(),E=JSON.parse(C);this.maxWindowLength=E.max_window_size,// TODO(tvm-team): move to conv template -this.stopTokens=E.stop_tokens;let D=this.vm.getFunction("create_kv_cache");this.fclearKVCaches=this.tvm.detachFromCurrentScope(this.tvm.getGlobalFunc("vm.builtin.attention_kv_cache_array_clear")),// use extern config for now -this.kvCache=this.tvm.detachFromCurrentScope(D()),this.filledKVCacheLength=0,A.endScope()}dispose(){var A;this.params.dispose(),this.decoding.dispose(),this.prefill.dispose(),this.vm.dispose(),this.kvCache.dispose(),this.fclearKVCaches.dispose(),null===(A=this.logitsOnCPU)||void 0===A||A.dispose(),this.tvm.dispose(),this.tokenizer.dispose()}/** - * Get the current message. - */getMessage(){return this.outputMessage}/** - * Reset the runtime statistics - */resetRuntimeStats(){this.prefillTotalTime=0,this.prefillTotalTokens=0,this.decodingTotalTime=0,this.decodingTotalTokens=0}/** - * Reset the chat history - */resetChat(){this.conversation.reset(),this.resetRuntimeStats(),this.fclearKVCaches(this.kvCache),this.filledKVCacheLength=0}/** - * @returns Whether stop is triggered. - */stopped(){return this.stopTriggered}/** - * @returns Runtime stats information. - */runtimeStatsText(){return`prefill: ${(this.prefillTotalTokens/this.prefillTotalTime).toFixed(4)} tokens/sec, decoding: ${(this.decodingTotalTokens/this.decodingTotalTime).toFixed(4)} tokens/sec`}asyncLoadWebGPUPipelines(){return Ah(this,void 0,void 0,function*(){yield this.tvm.asyncLoadWebGPUPipelines(this.vm.getInternalModule())})}/** - * Generate the first token given input prompt - */prefillStep(A){return Ah(this,void 0,void 0,function*(){this.resetStatsPerPrefill&&this.resetRuntimeStats(),// cleanup the per convo states -this.outputIds=[],this.appearedTokens.clear(),this.outputMessage="",this.stopTriggered=!1;let Q=this.conversation;// initialize -Q.appendMessage(Q.config.roles[0],A),Q.appendReplyHeader(Q.config.roles[1]);let B=this.getInputTokens(),g=performance.now();this.tvm.beginScope();let I=this.tvm.empty([1,B.length],"int32",this.device);I.copyFrom(B);let C=this.filledKVCacheLength+B.length,E=this.tvm.detachFromCurrentScope(this.forward(I,C));this.filledKVCacheLength=C,this.tvm.endScope();let D=yield this.sampleTokenFromLogits(E,this.config.temperature,this.config.top_p);E.dispose();let w=performance.now();this.prefillTotalTime+=(w-g)/1e3,this.prefillTotalTokens+=B.length,this.processNextToken(D)})}decodeStep(){return Ah(this,void 0,void 0,function*(){if(this.stopTriggered)throw Error("Cannot run decode when stopped");let A=performance.now();this.tvm.beginScope();let Q=this.tvm.empty([1,1],"int32",this.device);Q.copyFrom(this.outputIds.slice(this.outputIds.length-1));let B=this.tvm.detachFromCurrentScope(this.forward(Q,this.filledKVCacheLength+1));this.filledKVCacheLength+=1,this.tvm.endScope();// sample from logits -let g=yield this.sampleTokenFromLogits(B,this.config.temperature,this.config.top_p);B.dispose();let I=performance.now();this.decodingTotalTime+=(I-A)/1e3,this.decodingTotalTokens+=1,this.processNextToken(g)})}/** - * Manually trigger stop if it is not stopped. - */triggerStop(){this.stopTriggered||(this.stopTriggered=!0,this.conversation.finishReply(this.outputMessage))}/** - * Add a generated token and check for stop. - * - * @param nextToken The next token. - */processNextToken(A){if(this.stopTriggered)throw Error("Cannot call process when it is stoppped");this.outputIds.push(A),this.appearedTokens.add(A),this.stopTokens.includes(A)&&(this.stopTriggered=!0);let Q=this.tokenizer.decode(new Int32Array(this.outputIds)),B=Q.lastIndexOf(this.stopStr);-1!=B&&(Q=Q.substring(0,B),this.stopTriggered=!0),this.outputMessage=Q,this.stopTriggered&&this.conversation.finishReply(this.outputMessage)}forward(A,Q){let B;this.tvm.beginScope();let g=this.tvm.makeShapeTuple([Q]);B=A.shape[1]>1?this.prefill(A,g,this.kvCache,this.params):this.decoding(A,g,this.kvCache,this.params);let I=this.tvm.detachFromCurrentScope(B.get(0));return this.tvm.endScope(),this.tvm.attachToCurrentScope(I),I}// NOTE: caller must call device.sync() -updateLogitsOnCPU(A){if(void 0==this.logitsOnCPU)this.logitsOnCPU=this.tvm.detachFromCurrentScope(this.tvm.empty(A.shape,A.dtype,this.tvm.cpu()));else if(A.shape[0]!=this.logitsOnCPU.shape[0])throw Error("We expect the size of logits to remain unchanged");return this.logitsOnCPU.copyFrom(A),this.logitsOnCPU}sampleTokenFromLogits(A,Q,B){return Ah(this,void 0,void 0,function*(){this.tvm.beginScope();let g=this.updateLogitsOnCPU(A);if(this.tvm.endScope(),yield this.device.sync(),void 0==this.logitsOnCPU)throw Error("logits should be assigned");if(this.config.repetition_penalty<1.000001)return this.tvm.sampleTopPFromLogits(g,Q,B);{this.tvm.beginScope();let A=this.tvm.empty([1,this.appearedTokens.size],"int32",this.tvm.cpu());return A.copyFrom(Array.from(this.appearedTokens)),this.tvm.applyRepetitionPenalty(this.logitsOnCPU,A,this.config.repetition_penalty),this.tvm.endScope(),this.tvm.sampleTopPFromLogits(this.logitsOnCPU,Q,B)}})}getInputTokens(){let A,Q=[];this.conversation.messages.length<=2?(this.conversation.config.add_bos&&(Q=[this.bosTokenId]),A=this.conversation.getPromptArray()):A=this.conversation.getPrompArrayLastRound(),// keep system prompt when possible -Q.push(...this.tokenizer.encode(A[0]));let B=Q.length,g=[],I=!1;for(let Q=A.length-1;Q>0;--Q){let C=this.tokenizer.encode(A[Q]);if(B+=C.length,this.filledKVCacheLength+B+this.config.mean_gen_len>=this.maxWindowLength){I=!0;break}g.unshift(C)}if(!I){for(let A of g)Q.push(...A);return Q}// need shift window and re-encode -this.logger("need shift window"),this.filledKVCacheLength=0,this.fclearKVCaches(this.kvCache),Q=this.conversation.config.add_bos?[this.bosTokenId]:[];let C=this.conversation.getPromptArray();Q.push(...this.tokenizer.encode(C[0])),g=[],B=Q.length;// only keep shift_fill_factor of the window context -for(let A=C.length-1;A>0;--A){let Q=this.tokenizer.encode(C[A]);if((B+=Q.length)>=this.config.shift_fill_factor*this.maxWindowLength&&A+2=this.maxWindowLength)throw Error("Exceed max window length curr="+Q.length);return Q}evaluate(){return Ah(this,void 0,void 0,function*(){// run a canonical evaluation of the flow -this.fclearKVCaches(this.kvCache),this.filledKVCacheLength=0;let A=yield this.tokenizer.encode("The capital of Canada is"),Q=Array.from(A);if(Q.unshift(this.bosTokenId),0==Q.length)throw Error("empty token");this.tvm.beginScope();let B=this.tvm.empty([1,Q.length],"int32",this.device);B.copyFrom(Q);let g=performance.now();this.forward(B,Q.length),this.tvm.endScope(),yield this.device.sync();let I=performance.now();this.tvm.beginScope();let C=this.tvm.empty([1,1],"int32",this.device).copyFrom([6234]),E=this.updateLogitsOnCPU(this.forward(C,Q.length+1));yield this.device.sync(),this.tvm.endScope();let D=performance.now(),w=`prefill-time=${((I-g)/1e3).toFixed(4)} secdecoding-time=${((D-I)/1e3).toFixed(4)} sec`;// simply log tokens for eyeballing. -console.log("Logits:"),console.log(E.toArray()),console.log(w)})}}function AL(A){let Q=document.getElementById(A);if(null==Q)throw Error("Cannot find element "+A);return Q}const Ac={model_list:[{model_url:"https://huggingface.co/Felladrin/mlc-chat-Mistral-7B-OpenOrca-q4f32_1/resolve/main/params/",local_id:"Mistral-7B-OpenOrca-q4f32_1"}],model_lib_map:{"Mistral-7B-OpenOrca-q4f32_1":"https://huggingface.co/Felladrin/mlc-chat-Mistral-7B-OpenOrca-q4f32_1/resolve/main/Mistral-7B-OpenOrca-q4f32_1-webgpu.wasm"},use_web_worker:!0},AJ=Ac.use_web_worker;var Aa={},AH={};AH=function(A,Q,B){if(Q===self.location.origin)// use the worker bundle's own url. -return A;// Otherwise, create a blob URL which loads the worker bundle with `importScripts`. -var g=B?"import "+JSON.stringify(A)+";":"importScripts("+JSON.stringify(A)+");";return URL.createObjectURL(new Blob([g],{type:"application/javascript"}))};let AS=new URL("worker.6af90c76.js",import.meta.url);Aa=AH(AS.toString(),AS.origin,!0),A=AJ?new /** - * A client of chat worker that exposes the chat interface - * - * @example - * - * const chat = new webllm.ChatWorkerClient(new Worker( - * new URL('./worker.ts', import.meta.url), - * {type: 'module'} - * )); - */class{constructor(A){this.generateCallbackRegistry=new Map,this.pendingPromise=new Map,this.worker=A,A.onmessage=A=>{this.onmessage(A)}}setInitProgressCallback(A){this.initProgressCallback=A}getPromise(A){let Q=A.uuid,B=new Promise((A,B)=>{this.pendingPromise.set(Q,Q=>{"return"==Q.kind?A(Q.content):"throw"!=Q.kind?B("Uknown msg kind "+Q.kind):B(Q.content)})});return this.worker.postMessage(A),B}reload(A,Q,B){return Ah(this,void 0,void 0,function*(){let g={kind:"reload",uuid:crypto.randomUUID(),content:{localIdOrUrl:A,chatOpts:Q,appConfig:B}};yield this.getPromise(g)})}generate(A,Q,B){return Ah(this,void 0,void 0,function*(){let g={kind:"generate",uuid:crypto.randomUUID(),content:{input:A,streamInterval:B}};return void 0!==Q&&this.generateCallbackRegistry.set(g.uuid,Q),yield this.getPromise(g)})}runtimeStatsText(){return Ah(this,void 0,void 0,function*(){let A={kind:"runtimeStatsText",uuid:crypto.randomUUID(),content:null};return yield this.getPromise(A)})}interruptGenerate(){let A={kind:"interruptGenerate",uuid:crypto.randomUUID(),content:null};this.getPromise(A)}unload(){return Ah(this,void 0,void 0,function*(){let A={kind:"unload",uuid:crypto.randomUUID(),content:null};yield this.getPromise(A)})}resetChat(){return Ah(this,void 0,void 0,function*(){let A={kind:"resetChat",uuid:crypto.randomUUID(),content:null};yield this.getPromise(A)})}onmessage(A){let Q=A.data;switch(Q.kind){case"initProgressCallback":void 0!==this.initProgressCallback&&this.initProgressCallback(Q.content);return;case"generateProgressCallback":{let A=Q.content,B=this.generateCallbackRegistry.get(Q.uuid);void 0!==B&&B(A.step,A.currentMessage);return}case"return":{let A=this.pendingPromise.get(Q.uuid);if(void 0===A)throw Error("return from a unknown uuid msg="+Q.uuid);this.pendingPromise.delete(Q.uuid),A(Q);return}case"throw":{let A=this.pendingPromise.get(Q.uuid);if(void 0===A)throw Error("return from a unknown uuid, msg="+Q);this.pendingPromise.delete(Q.uuid),A(Q);return}default:throw Error("Unknown msg kind, msg="+Q)}}}(new Worker(Aa)):new /** - * This is the main interface to the chat module. - */class{constructor(){this.logger=console.log,this.interruptSignal=!1}setInitProgressCallback(A){this.initProgressCallback=A}reload(A,Q,B){var g;return Ah(this,void 0,void 0,function*(){this.unload();let I=performance.now();void 0===B&&(B=AR);let C=(()=>{let Q=null==B?void 0:B.model_list.find(Q=>Q.local_id==A);if(void 0!==Q)return Q;throw Error("Cannot find model_url for "+A)})(),E="undefined"!=typeof document?document.URL:globalThis.location.origin,D=C.model_url;D.startsWith("http")||(D=new URL(D,E).href);let w=new AM.exports.ArtifactCache("webllm/config"),o=new URL("mlc-chat-config.json",D).href,N=Object.assign(Object.assign({},(yield(yield w.fetchWithCache(o)).json())),Q),i=new AM.exports.ArtifactCache("webllm/wasm"),G=(()=>{if((null==B?void 0:B.model_lib_map)!==void 0){let A=null==B?void 0:B.model_lib_map[N.model_lib];if(void 0!==A)return A}else{let A=AR.model_lib_map[N.model_lib];if(void 0!==A)return A}throw Error("Cannot find wasm for "+N.model_lib+" in supplied libMap")})(),Y=yield(yield Ah(this,void 0,void 0,function*(){return G.includes("localhost")?yield fetch(G):G.startsWith("http")?yield i.fetchWithCache(G):yield fetch(new URL(G,E).href)})).arrayBuffer(),F=yield AM.exports.instantiate(new Uint8Array(Y),AM.exports.createPolyfillWASI(),this.logger);void 0!==this.initProgressCallback&&F.registerInitProgressCallback(this.initProgressCallback);// detect GPU -let h=yield AM.exports.detectGPUDevice();if(void 0==h)throw Error("Cannot find WebGPU in the environment");let M="WebGPU";if(0!=h.adapterInfo.description.length?M+=" - "+h.adapterInfo.description:M+=" - "+h.adapterInfo.vendor,void 0!==C.required_features){for(let A of C.required_features)if(!h.device.features.has(A)){if("shader-f16"==A)throw Error('This model requires WebGPU extension shader-f16, which is not enabled in this browser. You can try to launch Chrome Canary in command line with flag "--enable-dawn-features=allow_unsafe_apis".');throw Error("This model requires feature "+A+", which is not yet supported by this browser. ")}}F.initWebGPU(h.device);let U=yield this.asyncLoadTokenizer(D,N);yield F.fetchNDArrayCache(D,F.webgpu(),"webllm/model"),this.pipeline=new AK(F,U,N),yield null===(g=this.pipeline)||void 0===g?void 0:g.asyncLoadWebGPUPipelines();let s=performance.now();if(void 0!==this.initProgressCallback){let A="Finish loading on "+M;this.initProgressCallback({progress:1,timeElapsed:(s-I)/1e3,text:A})}})}generate(A,Q,B=1){return Ah(this,void 0,void 0,function*(){this.interruptSignal=!1,yield this.prefill(A);let g=1;for(;!this.stopped();){if(this.interruptSignal){this.getPipeline().triggerStop();break}g+=1,yield this.decode(),g%B==0&&void 0!==Q&&Q(g,this.getMessage())}return this.getMessage()})}interruptGenerate(){return Ah(this,void 0,void 0,function*(){this.interruptSignal=!0})}runtimeStatsText(){return Ah(this,void 0,void 0,function*(){return this.getPipeline().runtimeStatsText()})}resetChat(){var A;return Ah(this,void 0,void 0,function*(){null===(A=this.pipeline)||void 0===A||A.resetChat()})}unload(){var A;return Ah(this,void 0,void 0,function*(){null===(A=this.pipeline)||void 0===A||A.dispose(),this.pipeline=void 0})}//-------------------------- -// Lower level API -//-------------------------- -/** - * @returns Whether the generation stopped. - */stopped(){return this.getPipeline().stopped()}/** - * Get the current generated response. - * - * @returns The current output message. - */getMessage(){return this.getPipeline().getMessage()}/** - * Run a prefill step with a given input. - * @param input The input prompt. - */prefill(A){return Ah(this,void 0,void 0,function*(){return this.getPipeline().prefillStep(A)})}/** - * Run a decode step to decode the next token. - */decode(){return Ah(this,void 0,void 0,function*(){return this.getPipeline().decodeStep()})}getPipeline(){if(void 0===this.pipeline)throw Error("Chat module not yet initialized, did you call chat.reload?");return this.pipeline}asyncLoadTokenizer(A,Q){return Ah(this,void 0,void 0,function*(){let B=new AM.exports.ArtifactCache("webllm/model");if(Q.tokenizer_files.includes("tokenizer.model")){let Q=new URL("tokenizer.model",A).href,g=yield(yield B.fetchWithCache(Q)).arrayBuffer();return Ak.exports.Tokenizer.fromSentencePiece(g)}if(Q.tokenizer_files.includes("tokenizer.json")){let Q=new URL("tokenizer.json",A).href,g=yield(yield B.fetchWithCache(Q)).arrayBuffer();return Ak.exports.Tokenizer.fromJSON(g)}throw Error("Cannot handle tokenizer files "+Q.tokenizer_files)})}},Q=new /** - * This is the interface to the chat module that connects to the REST API. - */class{constructor(){this.logger=console.log}setInitProgressCallback(A){this.initProgressCallback=A}reload(A,Q,B){return Ah(this,void 0,void 0,function*(){throw Error("Method not implemented.")})}unload(){return Ah(this,void 0,void 0,function*(){throw Error("Method not supported.")})}interruptGenerate(){return Ah(this,void 0,void 0,function*(){throw Error("Method not supported.")})}generate(A,Q,B=1){return Ah(this,void 0,void 0,function*(){if(0==B){let B=yield fetch("http://localhost:8000/v1/chat/completions",{method:"POST",headers:{"Content-type":"application/json"},body:JSON.stringify({model:"",messages:[{role:"user",content:A}],stream:!1})}).then(A=>A.json()).then(A=>{let B=A.choices[0].message.content;return void 0!==Q&&Q(0,B),B});return B}var g="";return yield fetch("http://localhost:8000/v1/chat/completions",{method:"POST",headers:{"Content-type":"application/json"},body:JSON.stringify({model:"",messages:[{role:"user",content:A}],stream:!0})}).then(A=>{let B=A.body.getReader();B.read().then(function A({done:I,value:C}){if(I){void 0!==Q&&Q(0,g);return}let E=n.from(C).toString("utf8").substring(6),D=JSON.parse(E),w=D.choices[0].delta.content;// Hack to ignore chunks once we get the EOS token -if(!w.includes("<"))return g+=w,void 0!==Q&&Q(0,g),B.read().then(A)})}),g})}runtimeStatsText(){return Ah(this,void 0,void 0,function*(){let A=yield fetch("http://localhost:8000/stats",{method:"GET"}).then(A=>A.json()).then(A=>A);return A})}resetChat(){return Ah(this,void 0,void 0,function*(){yield fetch("http://localhost:8000/chat/reset",{method:"POST"})})}},new class{constructor(A,Q){this.config=Ac,this.chatLoaded=!1,this.requestInProgress=!1,// We use a request chain to ensure that -// all requests send to chat are sequentialized -this.chatRequestChain=Promise.resolve(),// use web worker to run chat generation in background -this.chat=A,this.localChat=Q,// get the elements -this.uiChat=AL("chatui-chat"),this.uiChatInput=AL("chatui-input"),this.uiChatInfoLabel=AL("chatui-info-label"),// register event handlers -AL("chatui-reset-btn").onclick=()=>{this.onReset()},AL("chatui-send-btn").onclick=()=>{this.onGenerate()},// TODO: find other alternative triggers -AL("chatui-input").onkeypress=A=>{13===A.keyCode&&this.onGenerate()};let B=AL("chatui-select");for(let A=0;A{this.onSelectChange(B)}}/** - * Push a task to the execution queue. - * - * @param task The task to be executed; - */pushTask(A){let Q=this.chatRequestChain;this.chatRequestChain=Q.then(A)}// Event handlers -// all event handler pushes the tasks to a queue -// that get executed sequentially -// the tasks previous tasks, which causes them to early stop -// can be interrupted by chat.interruptGenerate -async onGenerate(){this.requestInProgress||this.pushTask(async()=>{await this.asyncGenerate()})}async onSelectChange(A){this.requestInProgress&&this.chat.interruptGenerate(),// try reset after previous requests finishes -this.pushTask(async()=>{await this.chat.resetChat(),this.resetChatHistory(),await this.unloadChat(),this.selectedModel=A.value,await this.asyncInitChat()})}async onReset(){this.requestInProgress&&this.chat.interruptGenerate(),// try reset after previous requests finishes -this.pushTask(async()=>{await this.chat.resetChat(),this.resetChatHistory()})}// Internal helper functions -appendMessage(A,Q){if("init"==A&&(Q="[System Initalize] "+Q),void 0===this.uiChat)throw Error("cannot find ui chat");let B=` -
-
-
${Q}
-
-
- `;this.uiChat.insertAdjacentHTML("beforeend",B),this.uiChat.scrollTo(0,this.uiChat.scrollHeight)}updateLastMessage(A,Q){if("init"==A&&(Q="[System Initalize] "+Q),void 0===this.uiChat)throw Error("cannot find ui chat");let B=this.uiChat.getElementsByClassName(`msg ${A}-msg`);if(0==B.length)throw Error(`${A} message do not exist`);let g=B[B.length-1],I=g.getElementsByClassName("msg-text");if(1!=I.length)throw Error("Expect msg-text");if(I[0].innerHTML==Q)return;let C=Q.split("\n").map(A=>{let Q=document.createElement("div");return Q.textContent=A,Q});I[0].innerHTML="",C.forEach(A=>I[0].append(A)),this.uiChat.scrollTo(0,this.uiChat.scrollHeight)}resetChatHistory(){for(let A of["left","right","init","error"]){// need to unpack to list so the iterator don't get affected by mutation -let Q=[...this.uiChat.getElementsByClassName(`msg ${A}-msg`)];for(let A of Q)this.uiChat.removeChild(A)}void 0!==this.uiChatInfoLabel&&(this.uiChatInfoLabel.innerHTML="")}async asyncInitChat(){if(!this.chatLoaded){this.requestInProgress=!0,this.appendMessage("init",""),this.chat.setInitProgressCallback(A=>{this.updateLastMessage("init",A.text)});try{"Local Server"!=this.selectedModel&&await this.chat.reload(this.selectedModel,void 0,this.config)}catch(A){this.appendMessage("error","Init error, "+A.toString()),console.log(A.stack),this.unloadChat(),this.requestInProgress=!1;return}this.requestInProgress=!1,this.chatLoaded=!0}}async unloadChat(){await this.chat.unload(),this.chatLoaded=!1}/** - * Run generate - */async asyncGenerate(){await this.asyncInitChat(),this.requestInProgress=!0;let A=this.uiChatInput.value;if(""==A){this.requestInProgress=!1;return}this.appendMessage("right",A),this.uiChatInput.value="",this.uiChatInput.setAttribute("placeholder","Generating..."),this.appendMessage("left","");let Q=(A,Q)=>{if(0===Q.length)return this.chat.interruptGenerate();this.updateLastMessage("left",Q)};try{"Local Server"==this.selectedModel?(await this.localChat.generate(A,Q),this.uiChatInfoLabel.innerHTML=await this.localChat.runtimeStatsText()):(await this.chat.generate(A,Q),this.uiChatInfoLabel.innerHTML=await this.chat.runtimeStatsText())}catch(A){this.appendMessage("error","Generate error, "+A.toString()),console.log(A.stack),await this.unloadChat()}this.uiChatInput.setAttribute("placeholder","Enter your message..."),this.requestInProgress=!1}}(A,Q); \ No newline at end of file diff --git a/spaces/Flux9665/PoeticTTS/README.md b/spaces/Flux9665/PoeticTTS/README.md deleted file mode 100644 index 8d8bbf73a8c4f2412dd3c9b53a3e9ead7f37ce23..0000000000000000000000000000000000000000 --- a/spaces/Flux9665/PoeticTTS/README.md +++ /dev/null @@ -1,13 +0,0 @@ ---- -title: PoeticTTS -emoji: 📜🦜 -colorFrom: indigo -colorTo: pink -sdk: gradio -sdk_version: 2.7.5.2 -app_file: app.py -pinned: false -license: mit ---- - -Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference diff --git a/spaces/FrankZxShen/so-vits-svc-models-pcr/diffusion/__init__.py b/spaces/FrankZxShen/so-vits-svc-models-pcr/diffusion/__init__.py deleted file mode 100644 index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000 diff --git a/spaces/FrankZxShen/so-vits-svc-models-pcr/vencoder/hubert/__init__.py b/spaces/FrankZxShen/so-vits-svc-models-pcr/vencoder/hubert/__init__.py deleted file mode 100644 index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000 diff --git a/spaces/GDavila/GIFify_OpenCV/app.py b/spaces/GDavila/GIFify_OpenCV/app.py deleted file mode 100644 index 52e8806fa068c2347d007314885c786031ae0067..0000000000000000000000000000000000000000 --- a/spaces/GDavila/GIFify_OpenCV/app.py +++ /dev/null @@ -1,120 +0,0 @@ -import streamlit as st -import cv2 -import numpy as np -from PIL import Image -import base64 - -color_step = st.slider('color_step parameter. Inversely proportional to the number of colors that will be sampled. Choose 1 to get the max number of colors, anything above 90 to get just 2 colors, The default value 10 yields 18 colors.', value=10, min_value=1, max_value=179, step=1) - -#duration of each frame of the gif in milliseconds -duration_parameter = st.slider('duration_parameter aka duration of each frame of the gif in milliseconds', value=10, min_value=1, max_value=2000, step=10) - -#Loop parameter = number of times gif loops. 0 = loops infinitely. -loop_parameter = st.slider('Loop parameter aka number of times gif loops. 0 defaults to infinitely repeating gif, like most gifs', value=0, min_value=0, max_value=10, step=1) - - -if color_step == 0: - my_hue_list = [0] -else: - my_hue_list = list( range(0, 180, color_step) ) #Color step basically gives step range of this list, ie if color_step = 2 then it is [0,2,4,6,....,178] - - -st.write("Upload an image and this app will turn it into a GIF based on the slider values. Larger images will take longer to process, max image size under 2MB. Lower values of the color_step parameter will take longer to process. Refresh the page to reprocess an image under different parameters.") -user_image_object = st.file_uploader("upload your image", type=['png', 'jpg'], accept_multiple_files=False) - -if user_image_object is not None: - st.image(user_image_object ) - - - user_image_name = "input_image.png" - - #re-encode for streamlit interface - #streamlit uploader encodes as a pillow img so we want to save to open in cv2 (converting directly is a pain) - input_image = Image.open( user_image_object ) - input_image.save(user_image_name ) - - # load image with alpha channel - img = cv2.imread( user_image_name , cv2.IMREAD_UNCHANGED) - - # extract alpha channel - #alpha = img[:,:,3] - - # extract bgr channels - bgr = img[:,:,0:3] - - # convert to HSV - hsv = cv2.cvtColor(bgr, cv2.COLOR_BGR2HSV) - #h = hsv[:,:,0] - #s = hsv[:,:,1] - #v = hsv[:,:,2] - h,s,v = cv2.split(hsv) - - - if color_step == 0: - my_hue_list = [0] - else: - my_hue_list = list( range(0, 180, color_step) ) #Color step basically gives step range of this list, ie if color_step = 2 then it is [0,2,4,6,....,178] - #180 at end means highest it can go is 179 (same as hue param ) - #including 0 makes original image part of the outputs/gif - - #H,S,V = Hue , Saturation, Value (ie color value) parameters - #Hue has range [0,179] , Saturation [0,255] , Value [0,255] - - img_array = [] - output_filename_array = [] - for i in my_hue_list: - # modify hue channel by adding difference and modulo 180 (modulo because hue parameter only goes up to index 180, shouldn't exceed that ) - hnew = np.mod(h + i, 180).astype(np.uint8) #<<<<<<<<<<<<<<<< where the iter comes in - - # recombine channels - hsv_new = cv2.merge([hnew,s,v]) - - # convert back to bgr - bgr_new = cv2.cvtColor(hsv_new, cv2.COLOR_HSV2BGR) - - img_array.append(bgr_new ) - - # put alpha back into bgr_new - #bgra = cv2.cvtColor(bgr_new, cv2.COLOR_BGR2BGRA) - #bgra[:,:,3] = alpha - - # save output AS FILE LABELED BY ITERABLE - output_filename = 'output_bgr_new_' + str(i) +'.png' #<<<<<<<<<<<<<<<< where the iter comes in - output_filename_array.append(output_filename) - cv2.imwrite(output_filename, bgr_new) - - - height, width, layers = bgr_new.shape - size = (width,height) - - st.write("This algorithm creates a GIF from images by creating hue shifted aka different color images from your input images bases on the parameters you chose in the slider above. The current set of parameters yields this many images: \n len(img_array) = ", len(img_array) , " \n So you GIF will be a composite of this many images changing color.") - - '''Show some demos: ''' - - #Uncomment this if statement to show some sample images of the gif - #if len(img_array) > 7: - # for ii in [1, 4, 7]: - # st.image( img_array[ii] ) - - #HuggingFaces Spaces can create a video vile ephemerally but doesn't actually save one that we can access. - #So to show the video/gif we save it as a file then open that file to show it in streamlit - - st.text("Generating GIF, may take a minute. You should see it appear on screen. ") - - #Create GIF - img, *imgs = [Image.open(f) for f in output_filename_array] - img.save(fp="output_gif.gif", format='GIF', append_images=imgs, - save_all=True, duration=duration_parameter, loop=loop_parameter) - - - #Show gif using this script to show gifs in streamlit https://discuss.streamlit.io/t/how-to-show-local-gif-image/3408/2 - """### gif from local file""" - file_ = open("output_gif.gif", "rb") - contents = file_.read() - data_url = base64.b64encode(contents).decode("utf-8") - file_.close() - - st.markdown( - f'output gif', - unsafe_allow_html=True, - ) \ No newline at end of file diff --git a/spaces/GaenKoki/voicevox/ui_template/ui.html b/spaces/GaenKoki/voicevox/ui_template/ui.html deleted file mode 100644 index a37b9e1040cf1952564f4507ee55ade0384c90a7..0000000000000000000000000000000000000000 --- a/spaces/GaenKoki/voicevox/ui_template/ui.html +++ /dev/null @@ -1,120 +0,0 @@ - - - - - VOICEVOX Engine 設定 - - - - - - - -
-
- - -
- - -
-

- allまたはlocalappsを指定。allはすべてを許可します。 -

-

- localappsはオリジン間リソース共有ポリシーを、app://.とlocalhost関連に限定します。 -

-

- その他のオリジンはallow_originオプションで追加できます。デフォルトはlocalapps。 -

-
-
- -
- - -
- 許可するオリジンを指定します。複数指定する場合は、直後にスペースで区切って追加できます。 -
-
- - - - -
-
- - diff --git a/spaces/Gen-Sim/Gen-Sim/misc/pyBulletSimRecorder.py b/spaces/Gen-Sim/Gen-Sim/misc/pyBulletSimRecorder.py deleted file mode 100644 index 9398bd6064ce53d51e7d886aef08486be84521f3..0000000000000000000000000000000000000000 --- a/spaces/Gen-Sim/Gen-Sim/misc/pyBulletSimRecorder.py +++ /dev/null @@ -1,245 +0,0 @@ -import pybullet as p -import PySimpleGUI as sg -import pickle -from os import getcwd -from urdfpy import URDF -from os.path import abspath, dirname, basename, splitext -from transforms3d.affines import decompose -from transforms3d.quaternions import mat2quat -import numpy as np - - -class PyBulletRecorder: - class LinkTracker: - def __init__(self, - name, - body_id, - link_id, - link_origin, - mesh_path, - mesh_scale, - mesh_material=None): - self.body_id = body_id - self.link_id = link_id - self.mesh_path = mesh_path - self.mesh_scale = mesh_scale - self.mesh_material = mesh_material - decomposed_origin = decompose(link_origin) - orn = mat2quat(decomposed_origin[1]) - orn = [orn[1], orn[2], orn[3], orn[0]] - self.link_pose = [decomposed_origin[0], - orn] - self.name = name - - def transform(self, position, orientation): - return p.multiplyTransforms( - position, orientation, - self.link_pose[0], self.link_pose[1], - ) - - def get_keyframe(self): - if self.link_id == -1: - position, orientation = p.getBasePositionAndOrientation( - self.body_id) - position, orientation = self.transform( - position=position, orientation=orientation) - else: - link_state = p.getLinkState(self.body_id, - self.link_id, - computeForwardKinematics=True) - position, orientation = self.transform( - position=link_state[4], - orientation=link_state[5]) - return { - 'position': list(position), - 'orientation': list(orientation) - } - - def __init__(self): - self.states = [] - self.links = [] - - def register_object(self, body_id, urdf_path, global_scaling=1, color=None): - link_id_map = dict() - n = p.getNumJoints(body_id) - link_id_map[str(p.getBodyInfo(body_id)[0].decode('gb2312'))] = -1 - - for link_id in range(0, n): - link_id_map[str(p.getJointInfo(body_id, link_id)[ - 12].decode('gb2312'))] = link_id - - dir_path = dirname(abspath(urdf_path)) - file_name = splitext(basename(urdf_path))[0] - robot = URDF.load(urdf_path) - for link in robot.links: - # print("robot link:", body_id, link.name, link_id_map.keys()) - if link.name not in link_id_map: - print("skip links !! ", link.name, link_id_map, len(robot.links), p.getBodyInfo(body_id)[0].decode('gb2312')) - continue - - link_id = link_id_map[link.name] - - if len(link.visuals) > 0: - for i, link_visual in enumerate(link.visuals): - mesh_material = None - if link_visual.material is not None: - mesh_material = link_visual.material - if color is not None: - mesh_material.name = mesh_material.name + f"_{np.random.randint(100)}" # mark it - mesh_material.color = color - - if link_visual.geometry.mesh is not None: - print("use mesh", i, link_id_map.keys()) - - mesh_scale = [global_scaling, - global_scaling, global_scaling]\ - if link_visual.geometry.mesh.scale is None \ - else link_visual.geometry.mesh.scale * global_scaling - - self.links.append(('mesh', - PyBulletRecorder.LinkTracker( - name=file_name + f'_{body_id}_{link.name}_{i}', - body_id=body_id, - link_id=link_id, - link_origin= # If link_id == -1 then is base link, - # PyBullet will return - # inertial_origin @ visual_origin, - # so need to undo that transform - (np.linalg.inv(link.inertial.origin) - if link_id == -1 - else np.identity(4)) @ - link_visual.origin * global_scaling, - mesh_path=dir_path + '/' + - link_visual.geometry.mesh.filename, - mesh_scale=mesh_scale, - mesh_material=mesh_material))) - - if link_visual.geometry.box is not None: - print("use box", i, link_id_map.keys(), link_visual.geometry.box.__dict__) - # import IPython; IPython.embed() - mesh_scale = link_visual.geometry.box.size / 2 - self.links.append(('box', - PyBulletRecorder.LinkTracker( - name=file_name + f'_{body_id}_{link.name}_{i}', - body_id=body_id, - link_id=link_id, - link_origin= (np.linalg.inv(link.inertial.origin) - if link_id == -1 - else np.identity(4)) @ - link_visual.origin * global_scaling, - mesh_path='box', - mesh_scale=mesh_scale, - mesh_material=mesh_material))) - - - if link_visual.geometry.cylinder is not None: - print("use cylinder", i, link_id_map.keys(), link_visual.geometry.cylinder.__dict__) - mesh_scale = [link_visual.geometry.cylinder.radius, link_visual.geometry.cylinder.radius, link_visual.geometry.cylinder.length] - self.links.append(('cylinder', - PyBulletRecorder.LinkTracker( - name=file_name + f'_{body_id}_{link.name}_{i}', - body_id=body_id, - link_id=link_id, - link_origin= (np.linalg.inv(link.inertial.origin) - if link_id == -1 - else np.identity(4)) @ - link_visual.origin * global_scaling, - mesh_path='cylinder', - mesh_scale=mesh_scale, - mesh_material=mesh_material))) - - - if link_visual.geometry.sphere is not None: - print("use sphere", i, link_id_map.keys(), link_visual.geometry.sphere.__dict__) - mesh_scale = [link_visual.geometry.sphere.radius, link_visual.geometry.sphere.radius, link_visual.geometry.sphere.radius] - self.links.append(('sphere', - PyBulletRecorder.LinkTracker( - name=file_name + f'_{body_id}_{link.name}_{i}', - body_id=body_id, - link_id=link_id, - link_origin= (np.linalg.inv(link.inertial.origin) - if link_id == -1 - else np.identity(4)) @ - link_visual.origin * global_scaling, - mesh_path='sphere', - mesh_scale=mesh_scale, - mesh_material=mesh_material))) - - def add_keyframe(self): - # Ideally, call every p.stepSimulation() - current_state = {} - for name, link in self.links: - current_state[link.name] = link.get_keyframe() - self.states.append(current_state) - - def prompt_save(self): - layout = [[sg.Text('Do you want to save previous episode?')], - [sg.Button('Yes'), sg.Button('No')]] - window = sg.Window('PyBullet Recorder', layout) - save = False - while True: - event, values = window.read() - if event in (None, 'No'): - break - elif event == 'Yes': - save = True - break - window.close() - - if save: - layout = [[sg.Text('Where do you want to save it?')], - [sg.Text('Path'), sg.InputText(getcwd())], - [sg.Button('OK')]] - window = sg.Window('PyBullet Recorder', layout) - event, values = window.read() - window.close() - self.save(values[0]) - self.reset() - - def reset(self): - self.states = [] - - def get_formatted_output(self): - retval = {} - for geo_name, link in self.links: - if geo_name == 'mesh': - retval[link.name] = { - 'type': 'mesh', - 'mesh_path': link.mesh_path, - 'mesh_scale': link.mesh_scale, - 'frames': [state[link.name] for state in self.states] - } - if geo_name == 'box': - # print("retval: box!") - retval[link.name] = { - 'type': 'cube', - 'name': link.name, - 'mesh_scale': link.mesh_scale, - 'frames': [state[link.name] for state in self.states] - } - if geo_name == 'cylinder': - retval[link.name] = { - 'type': 'cylinder', - 'name': link.name, - 'mesh_scale': link.mesh_scale, - 'frames': [state[link.name] for state in self.states] - } - if geo_name == 'sphere': - retval[link.name] = { - 'type': 'sphere', - 'name': link.name, - 'mesh_scale': link.mesh_scale, - 'frames': [state[link.name] for state in self.states] - } - if link.mesh_material is not None: - retval[link.name]['mesh_material_name'] = link.mesh_material.name - retval[link.name] ['mesh_material_color'] = link.mesh_material.color - - return retval - - def save(self, path): - if path is None: - print("[Recorder] Path is None.. not saving") - else: - print("[Recorder] Saving state to {}".format(path)) - pickle.dump(self.get_formatted_output(), open(path, 'wb')) diff --git a/spaces/Gradio-Blocks/beat-interpolator/examples/models/anime_biggan/__init__.py b/spaces/Gradio-Blocks/beat-interpolator/examples/models/anime_biggan/__init__.py deleted file mode 100644 index 78dcddd6e5ebf6999149802a563b28574dfb8265..0000000000000000000000000000000000000000 --- a/spaces/Gradio-Blocks/beat-interpolator/examples/models/anime_biggan/__init__.py +++ /dev/null @@ -1 +0,0 @@ -from .model import create_anime_biggan_inference as create diff --git a/spaces/Gradio-Blocks/uniformer_image_detection/configs/ssd/ssd300_coco.py b/spaces/Gradio-Blocks/uniformer_image_detection/configs/ssd/ssd300_coco.py deleted file mode 100644 index 75c5e4e5b81a320a7e6bd7bc31e7d5cf49a0b92d..0000000000000000000000000000000000000000 --- a/spaces/Gradio-Blocks/uniformer_image_detection/configs/ssd/ssd300_coco.py +++ /dev/null @@ -1,62 +0,0 @@ -_base_ = [ - '../_base_/models/ssd300.py', '../_base_/datasets/coco_detection.py', - '../_base_/schedules/schedule_2x.py', '../_base_/default_runtime.py' -] -# dataset settings -dataset_type = 'CocoDataset' -data_root = 'data/coco/' -img_norm_cfg = dict(mean=[123.675, 116.28, 103.53], std=[1, 1, 1], to_rgb=True) -train_pipeline = [ - dict(type='LoadImageFromFile', to_float32=True), - dict(type='LoadAnnotations', with_bbox=True), - dict( - type='PhotoMetricDistortion', - brightness_delta=32, - contrast_range=(0.5, 1.5), - saturation_range=(0.5, 1.5), - hue_delta=18), - dict( - type='Expand', - mean=img_norm_cfg['mean'], - to_rgb=img_norm_cfg['to_rgb'], - ratio_range=(1, 4)), - dict( - type='MinIoURandomCrop', - min_ious=(0.1, 0.3, 0.5, 0.7, 0.9), - min_crop_size=0.3), - dict(type='Resize', img_scale=(300, 300), keep_ratio=False), - dict(type='Normalize', **img_norm_cfg), - dict(type='RandomFlip', flip_ratio=0.5), - dict(type='DefaultFormatBundle'), - dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']), -] -test_pipeline = [ - dict(type='LoadImageFromFile'), - dict( - type='MultiScaleFlipAug', - img_scale=(300, 300), - flip=False, - transforms=[ - dict(type='Resize', keep_ratio=False), - dict(type='Normalize', **img_norm_cfg), - dict(type='ImageToTensor', keys=['img']), - dict(type='Collect', keys=['img']), - ]) -] -data = dict( - samples_per_gpu=8, - workers_per_gpu=3, - train=dict( - _delete_=True, - type='RepeatDataset', - times=5, - dataset=dict( - type=dataset_type, - ann_file=data_root + 'annotations/instances_train2017.json', - img_prefix=data_root + 'train2017/', - pipeline=train_pipeline)), - val=dict(pipeline=test_pipeline), - test=dict(pipeline=test_pipeline)) -# optimizer -optimizer = dict(type='SGD', lr=2e-3, momentum=0.9, weight_decay=5e-4) -optimizer_config = dict(_delete_=True) diff --git a/spaces/Gradio-Blocks/uniformer_image_segmentation/mmseg/models/utils/self_attention_block.py b/spaces/Gradio-Blocks/uniformer_image_segmentation/mmseg/models/utils/self_attention_block.py deleted file mode 100644 index 372fad2e000a157c7ef283a82388a7fea0158ee0..0000000000000000000000000000000000000000 --- a/spaces/Gradio-Blocks/uniformer_image_segmentation/mmseg/models/utils/self_attention_block.py +++ /dev/null @@ -1,159 +0,0 @@ -import torch -from mmcv.cnn import ConvModule, constant_init -from torch import nn as nn -from torch.nn import functional as F - - -class SelfAttentionBlock(nn.Module): - """General self-attention block/non-local block. - - Please refer to https://arxiv.org/abs/1706.03762 for details about key, - query and value. - - Args: - key_in_channels (int): Input channels of key feature. - query_in_channels (int): Input channels of query feature. - channels (int): Output channels of key/query transform. - out_channels (int): Output channels. - share_key_query (bool): Whether share projection weight between key - and query projection. - query_downsample (nn.Module): Query downsample module. - key_downsample (nn.Module): Key downsample module. - key_query_num_convs (int): Number of convs for key/query projection. - value_num_convs (int): Number of convs for value projection. - matmul_norm (bool): Whether normalize attention map with sqrt of - channels - with_out (bool): Whether use out projection. - conv_cfg (dict|None): Config of conv layers. - norm_cfg (dict|None): Config of norm layers. - act_cfg (dict|None): Config of activation layers. - """ - - def __init__(self, key_in_channels, query_in_channels, channels, - out_channels, share_key_query, query_downsample, - key_downsample, key_query_num_convs, value_out_num_convs, - key_query_norm, value_out_norm, matmul_norm, with_out, - conv_cfg, norm_cfg, act_cfg): - super(SelfAttentionBlock, self).__init__() - if share_key_query: - assert key_in_channels == query_in_channels - self.key_in_channels = key_in_channels - self.query_in_channels = query_in_channels - self.out_channels = out_channels - self.channels = channels - self.share_key_query = share_key_query - self.conv_cfg = conv_cfg - self.norm_cfg = norm_cfg - self.act_cfg = act_cfg - self.key_project = self.build_project( - key_in_channels, - channels, - num_convs=key_query_num_convs, - use_conv_module=key_query_norm, - conv_cfg=conv_cfg, - norm_cfg=norm_cfg, - act_cfg=act_cfg) - if share_key_query: - self.query_project = self.key_project - else: - self.query_project = self.build_project( - query_in_channels, - channels, - num_convs=key_query_num_convs, - use_conv_module=key_query_norm, - conv_cfg=conv_cfg, - norm_cfg=norm_cfg, - act_cfg=act_cfg) - self.value_project = self.build_project( - key_in_channels, - channels if with_out else out_channels, - num_convs=value_out_num_convs, - use_conv_module=value_out_norm, - conv_cfg=conv_cfg, - norm_cfg=norm_cfg, - act_cfg=act_cfg) - if with_out: - self.out_project = self.build_project( - channels, - out_channels, - num_convs=value_out_num_convs, - use_conv_module=value_out_norm, - conv_cfg=conv_cfg, - norm_cfg=norm_cfg, - act_cfg=act_cfg) - else: - self.out_project = None - - self.query_downsample = query_downsample - self.key_downsample = key_downsample - self.matmul_norm = matmul_norm - - self.init_weights() - - def init_weights(self): - """Initialize weight of later layer.""" - if self.out_project is not None: - if not isinstance(self.out_project, ConvModule): - constant_init(self.out_project, 0) - - def build_project(self, in_channels, channels, num_convs, use_conv_module, - conv_cfg, norm_cfg, act_cfg): - """Build projection layer for key/query/value/out.""" - if use_conv_module: - convs = [ - ConvModule( - in_channels, - channels, - 1, - conv_cfg=conv_cfg, - norm_cfg=norm_cfg, - act_cfg=act_cfg) - ] - for _ in range(num_convs - 1): - convs.append( - ConvModule( - channels, - channels, - 1, - conv_cfg=conv_cfg, - norm_cfg=norm_cfg, - act_cfg=act_cfg)) - else: - convs = [nn.Conv2d(in_channels, channels, 1)] - for _ in range(num_convs - 1): - convs.append(nn.Conv2d(channels, channels, 1)) - if len(convs) > 1: - convs = nn.Sequential(*convs) - else: - convs = convs[0] - return convs - - def forward(self, query_feats, key_feats): - """Forward function.""" - batch_size = query_feats.size(0) - query = self.query_project(query_feats) - if self.query_downsample is not None: - query = self.query_downsample(query) - query = query.reshape(*query.shape[:2], -1) - query = query.permute(0, 2, 1).contiguous() - - key = self.key_project(key_feats) - value = self.value_project(key_feats) - if self.key_downsample is not None: - key = self.key_downsample(key) - value = self.key_downsample(value) - key = key.reshape(*key.shape[:2], -1) - value = value.reshape(*value.shape[:2], -1) - value = value.permute(0, 2, 1).contiguous() - - sim_map = torch.matmul(query, key) - if self.matmul_norm: - sim_map = (self.channels**-.5) * sim_map - sim_map = F.softmax(sim_map, dim=-1) - - context = torch.matmul(sim_map, value) - context = context.permute(0, 2, 1).contiguous() - context = context.reshape(batch_size, -1, *query_feats.shape[2:]) - if self.out_project is not None: - context = self.out_project(context) - return context diff --git a/spaces/Gradio-Blocks/uniformer_image_segmentation/tools/dist_test.sh b/spaces/Gradio-Blocks/uniformer_image_segmentation/tools/dist_test.sh deleted file mode 100644 index 34fb46541d447d923bc3561bbba09bd5c94d7bfe..0000000000000000000000000000000000000000 --- a/spaces/Gradio-Blocks/uniformer_image_segmentation/tools/dist_test.sh +++ /dev/null @@ -1,9 +0,0 @@ -#!/usr/bin/env bash - -CONFIG=$1 -CHECKPOINT=$2 -GPUS=$3 -PORT=${PORT:-29500} -PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \ -python -m torch.distributed.launch --nproc_per_node=$GPUS --master_port=$PORT \ - $(dirname "$0")/test.py $CONFIG $CHECKPOINT --launcher pytorch ${@:4} diff --git a/spaces/Grazon/ChitChat/app.py b/spaces/Grazon/ChitChat/app.py deleted file mode 100644 index 245e3e315370364af82384f4e6115349a9192999..0000000000000000000000000000000000000000 --- a/spaces/Grazon/ChitChat/app.py +++ /dev/null @@ -1,48 +0,0 @@ -import os -import openai - -from langchain.chains import ConversationalRetrievalChain, RetrievalQA -from langchain.chat_models import ChatOpenAI -from langchain.document_loaders import TextLoader -from langchain.embeddings import OpenAIEmbeddings -from langchain.indexes import VectorstoreIndexCreator -from langchain.indexes.vectorstore import VectorStoreIndexWrapper -from langchain.llms import OpenAI -from langchain.vectorstores import Chroma -from langchain.memory import ConversationBufferMemory - -import chromadb -import chromadb.config - -import tiktoken -import gradio as gr - -os.environ["OPENAI_API_KEY"] = "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" -PERSIST = False - -def main_func(message , history): - chat_history = [] - if PERSIST and os.path.exists("persist"): - print("Reusing index...\n") - vectorstore = Chroma(persist_directory="persist", embedding_function=OpenAIEmbeddings()) - index = VectorStoreIndexWrapper(vectorstore=vectorstore) - else: - loader = TextLoader("data.txt") - if PERSIST: - index = VectorstoreIndexCreator(vectorstore_kwargs={"persist_directory":"persist"}).from_loaders([loader]) - else: - index = VectorstoreIndexCreator().from_loaders([loader]) - print(index) - - memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True) - chain = ConversationalRetrievalChain.from_llm(llm=ChatOpenAI(), retriever=index.vectorstore.as_retriever(), memory=memory, verbose=True) - - query = message - result = chain({"question": query, "chat_history": chat_history}) - print(result['answer']) - chat_history.append((query, result['answer'])) - return result['answer'] - -gr.ChatInterface(main_func ,title="CHIT CHAT 🤖", - chatbot=gr.Chatbot(height=550), - textbox=gr.Textbox(placeholder="Ask me anything about the artifacts" )).launch() \ No newline at end of file diff --git a/spaces/GroveStreet/GTA_SOVITS/vencoder/whisper/utils.py b/spaces/GroveStreet/GTA_SOVITS/vencoder/whisper/utils.py deleted file mode 100644 index 5dacc173c40bcd6e999d728862e29a968000b12e..0000000000000000000000000000000000000000 --- a/spaces/GroveStreet/GTA_SOVITS/vencoder/whisper/utils.py +++ /dev/null @@ -1,163 +0,0 @@ -import json -import os -import sys -import zlib -from typing import Callable, TextIO - -system_encoding = sys.getdefaultencoding() - -if system_encoding != "utf-8": - def make_safe(string): - # replaces any character not representable using the system default encoding with an '?', - # avoiding UnicodeEncodeError (https://github.com/openai/whisper/discussions/729). - return string.encode(system_encoding, errors="replace").decode(system_encoding) -else: - def make_safe(string): - # utf-8 can encode any Unicode code point, so no need to do the round-trip encoding - return string - - -def exact_div(x, y): - assert x % y == 0 - return x // y - - -def str2bool(string): - str2val = {"True": True, "False": False} - if string in str2val: - return str2val[string] - else: - raise ValueError(f"Expected one of {set(str2val.keys())}, got {string}") - - -def optional_int(string): - return None if string == "None" else int(string) - - -def optional_float(string): - return None if string == "None" else float(string) - - -def compression_ratio(text) -> float: - text_bytes = text.encode("utf-8") - return len(text_bytes) / len(zlib.compress(text_bytes)) - - -def format_timestamp(seconds: float, always_include_hours: bool = False, decimal_marker: str = '.'): - assert seconds >= 0, "non-negative timestamp expected" - milliseconds = round(seconds * 1000.0) - - hours = milliseconds // 3_600_000 - milliseconds -= hours * 3_600_000 - - minutes = milliseconds // 60_000 - milliseconds -= minutes * 60_000 - - seconds = milliseconds // 1_000 - milliseconds -= seconds * 1_000 - - hours_marker = f"{hours:02d}:" if always_include_hours or hours > 0 else "" - return f"{hours_marker}{minutes:02d}:{seconds:02d}{decimal_marker}{milliseconds:03d}" - - -class ResultWriter: - extension: str - - def __init__(self, output_dir: str): - self.output_dir = output_dir - - def __call__(self, result: dict, audio_path: str): - audio_basename = os.path.basename(audio_path) - output_path = os.path.join(self.output_dir, audio_basename + "." + self.extension) - - with open(output_path, "w", encoding="utf-8") as f: - self.write_result(result, file=f) - - def write_result(self, result: dict, file: TextIO): - raise NotImplementedError - - -class WriteTXT(ResultWriter): - extension: str = "txt" - - def write_result(self, result: dict, file: TextIO): - for segment in result["segments"]: - print(segment['text'].strip(), file=file, flush=True) - - -class WriteVTT(ResultWriter): - extension: str = "vtt" - - def write_result(self, result: dict, file: TextIO): - print("WEBVTT\n", file=file) - for segment in result["segments"]: - print( - f"{format_timestamp(segment['start'])} --> {format_timestamp(segment['end'])}\n" - f"{segment['text'].strip().replace('-->', '->')}\n", - file=file, - flush=True, - ) - - -class WriteSRT(ResultWriter): - extension: str = "srt" - - def write_result(self, result: dict, file: TextIO): - for i, segment in enumerate(result["segments"], start=1): - # write srt lines - print( - f"{i}\n" - f"{format_timestamp(segment['start'], always_include_hours=True, decimal_marker=',')} --> " - f"{format_timestamp(segment['end'], always_include_hours=True, decimal_marker=',')}\n" - f"{segment['text'].strip().replace('-->', '->')}\n", - file=file, - flush=True, - ) - - -class WriteTSV(ResultWriter): - """ - Write a transcript to a file in TSV (tab-separated values) format containing lines like: - \t\t - - Using integer milliseconds as start and end times means there's no chance of interference from - an environment setting a language encoding that causes the decimal in a floating point number - to appear as a comma; also is faster and more efficient to parse & store, e.g., in C++. - """ - extension: str = "tsv" - - def write_result(self, result: dict, file: TextIO): - print("start", "end", "text", sep="\t", file=file) - for segment in result["segments"]: - print(round(1000 * segment['start']), file=file, end="\t") - print(round(1000 * segment['end']), file=file, end="\t") - print(segment['text'].strip().replace("\t", " "), file=file, flush=True) - - -class WriteJSON(ResultWriter): - extension: str = "json" - - def write_result(self, result: dict, file: TextIO): - json.dump(result, file) - - -def get_writer(output_format: str, output_dir: str) -> Callable[[dict, TextIO], None]: - writers = { - "txt": WriteTXT, - "vtt": WriteVTT, - "srt": WriteSRT, - "tsv": WriteTSV, - "json": WriteJSON, - } - - if output_format == "all": - all_writers = [writer(output_dir) for writer in writers.values()] - - def write_all(result: dict, file: TextIO): - for writer in all_writers: - writer(result, file) - - return write_all - - return writers[output_format](output_dir) - diff --git a/spaces/HUBioDataLab/DrugGEN/layers.py b/spaces/HUBioDataLab/DrugGEN/layers.py deleted file mode 100644 index a385ace5ea9a9176f20c014c2c1a20ec57365f7f..0000000000000000000000000000000000000000 --- a/spaces/HUBioDataLab/DrugGEN/layers.py +++ /dev/null @@ -1,265 +0,0 @@ -import torch -import torch.nn as nn -from torch.nn import functional as F -import math - -class MLP(nn.Module): - def __init__(self, in_feat, hid_feat=None, out_feat=None, - dropout=0.): - super().__init__() - if not hid_feat: - hid_feat = in_feat - if not out_feat: - out_feat = in_feat - self.fc1 = nn.Linear(in_feat, hid_feat) - self.act = torch.nn.ReLU() - self.fc2 = nn.Linear(hid_feat,out_feat) - self.droprateout = nn.Dropout(dropout) - - def forward(self, x): - x = self.fc1(x) - x = self.act(x) - x = self.fc2(x) - return self.droprateout(x) - -class Attention_new(nn.Module): - def __init__(self, dim, heads, attention_dropout=0.): - super().__init__() - assert dim % heads == 0 - self.heads = heads - self.scale = 1./dim**0.5 - - self.q = nn.Linear(dim, dim) - self.k = nn.Linear(dim, dim) - self.v = nn.Linear(dim, dim) - self.e = nn.Linear(dim, dim) - #self.attention_dropout = nn.Dropout(attention_dropout) - - self.d_k = dim // heads - self.heads = heads - self.out_e = nn.Linear(dim,dim) - self.out_n = nn.Linear(dim, dim) - - - def forward(self, node, edge): - b, n, c = node.shape - - - q_embed = self.q(node).view(-1, n, self.heads, c//self.heads) - k_embed = self.k(node).view(-1, n, self.heads, c//self.heads) - v_embed = self.v(node).view(-1, n, self.heads, c//self.heads) - - e_embed = self.e(edge).view(-1, n, n, self.heads, c//self.heads) - - q_embed = q_embed.unsqueeze(2) - k_embed = k_embed.unsqueeze(1) - - attn = q_embed * k_embed - - attn = attn/ math.sqrt(self.d_k) - - - attn = attn * (e_embed + 1) * e_embed - - edge = self.out_e(attn.flatten(3)) - - attn = F.softmax(attn, dim=2) - - v_embed = v_embed.unsqueeze(1) - - v_embed = attn * v_embed - - v_embed = v_embed.sum(dim=2).flatten(2) - - node = self.out_n(v_embed) - - return node, edge - -class Encoder_Block(nn.Module): - def __init__(self, dim, heads,act, mlp_ratio=4, drop_rate=0.): - super().__init__() - self.ln1 = nn.LayerNorm(dim) - - self.attn = Attention_new(dim, heads, drop_rate) - self.ln3 = nn.LayerNorm(dim) - self.ln4 = nn.LayerNorm(dim) - self.mlp = MLP(dim, dim*mlp_ratio, dim, dropout=drop_rate) - self.mlp2 = MLP(dim, dim*mlp_ratio, dim, dropout=drop_rate) - self.ln5 = nn.LayerNorm(dim) - self.ln6 = nn.LayerNorm(dim) - - def forward(self, x,y): - x1 = self.ln1(x) - x2,y1 = self.attn(x1,y) - x2 = x1 + x2 - y2 = y1 + y - x2 = self.ln3(x2) - y2 = self.ln4(y2) - - x = self.ln5(x2 + self.mlp(x2)) - y = self.ln6(y2 + self.mlp2(y2)) - return x, y - - -class TransformerEncoder(nn.Module): - def __init__(self, dim, depth, heads, act, mlp_ratio=4, drop_rate=0.1): - super().__init__() - - self.Encoder_Blocks = nn.ModuleList([ - Encoder_Block(dim, heads, act, mlp_ratio, drop_rate) - for i in range(depth)]) - - def forward(self, x,y): - - for Encoder_Block in self.Encoder_Blocks: - x, y = Encoder_Block(x,y) - - return x, y - -class enc_dec_attention(nn.Module): - def __init__(self, dim, heads, attention_dropout=0., proj_dropout=0.): - super().__init__() - self.dim = dim - self.heads = heads - self.scale = 1./dim**0.5 - - - "query is molecules" - "key is prot" - "values is again molecule" - self.q_mx = nn.Linear(dim,dim) - self.k_px = nn.Linear(dim,dim) - self.v_mx = nn.Linear(dim,dim) - - - self.k_pa = nn.Linear(dim,dim) - self.v_ma = nn.Linear(dim,dim) - - - - - - #self.dropout_dec = nn.Dropout(proj_dropout) - self.out_nd = nn.Linear(dim, dim) - self.out_ed = nn.Linear(dim,dim) - - def forward(self, mol_annot, prot_annot, mol_adj, prot_adj): - - b, n, c = mol_annot.shape - _, m, _ = prot_annot.shape - - - query_mol_annot = self.q_mx(mol_annot).view(-1,m, self.heads, c//self.heads) - key_prot_annot = self.k_px(prot_annot).view(-1,n, self.heads, c//self.heads) - value_mol_annot = self.v_mx(mol_annot).view(-1,m, self.heads, c//self.heads) - - mol_e = self.v_ma(mol_adj).view(-1,m,m, self.heads, c//self.heads) - prot_e = self.k_pa(prot_adj).view(-1,m,m, self.heads, c//self.heads) - - query_mol_annot = query_mol_annot.unsqueeze(2) - key_prot_annot = key_prot_annot.unsqueeze(1) - - - - #attn = torch.einsum('bnchd,bmahd->bnahd', query_mol_annot, key_prot_annot) - - attn = query_mol_annot * key_prot_annot - - attn = attn/ math.sqrt(self.dim) - - - attn = attn * (prot_e + 1) * mol_e - - mol_e_new = attn.flatten(3) - - mol_adj = self.out_ed(mol_e_new) - - attn = F.softmax(attn, dim=2) - - value_mol_annot = value_mol_annot.unsqueeze(1) - - value_mol_annot = attn * value_mol_annot - - value_mol_annot = value_mol_annot.sum(dim=2).flatten(2) - - mol_annot = self.out_nd(value_mol_annot) - - return mol_annot, prot_annot, mol_adj, prot_adj - -class Decoder_Block(nn.Module): - def __init__(self, dim, heads, mlp_ratio=4, drop_rate=0.): - super().__init__() - - - self.ln1_ma = nn.LayerNorm(dim) - self.ln1_pa = nn.LayerNorm(dim) - self.ln1_mx = nn.LayerNorm(dim) - self.ln1_px = nn.LayerNorm(dim) - - self.attn2 = Attention_new(dim, heads, drop_rate) - - self.ln2_pa = nn.LayerNorm(dim) - self.ln2_px = nn.LayerNorm(dim) - - self.dec_attn = enc_dec_attention(dim, heads, drop_rate, drop_rate) - - self.ln3_ma = nn.LayerNorm(dim) - self.ln3_mx = nn.LayerNorm(dim) - - self.mlp_ma = MLP(dim, dim, dropout=drop_rate) - self.mlp_mx = MLP(dim, dim, dropout=drop_rate) - - self.ln4_ma = nn.LayerNorm(dim) - self.ln4_mx = nn.LayerNorm(dim) - - - def forward(self,mol_annot, prot_annot, mol_adj, prot_adj): - - mol_annot = self.ln1_mx(mol_annot) - mol_adj = self.ln1_ma(mol_adj) - - prot_annot = self.ln1_px(prot_annot) - prot_adj = self.ln1_pa(prot_adj) - - px1, pa1= self.attn2(prot_annot, prot_adj) - - prot_annot = prot_annot + px1 - prot_adj = prot_adj + pa1 - - prot_annot = self.ln2_px(prot_annot) - prot_adj = self.ln2_pa(prot_adj) - - mx1, prot_annot, ma1, prot_adj = self.dec_attn(mol_annot,prot_annot,mol_adj,prot_adj) - - ma1 = mol_adj + ma1 - mx1 = mol_annot + mx1 - - ma2 = self.ln3_ma(ma1) - mx2 = self.ln3_mx(mx1) - - ma3 = self.mlp_ma(ma2) - mx3 = self.mlp_mx(mx2) - - ma = ma3 + ma2 - mx = mx3 + mx2 - - mol_adj = self.ln4_ma(ma) - mol_annot = self.ln4_mx(mx) - - return mol_annot, prot_annot, mol_adj, prot_adj - -class TransformerDecoder(nn.Module): - def __init__(self, dim, depth, heads, mlp_ratio=4, drop_rate=0.): - super().__init__() - - self.Decoder_Blocks = nn.ModuleList([ - Decoder_Block(dim, heads, mlp_ratio, drop_rate) - for i in range(depth)]) - - def forward(self, mol_annot, prot_annot, mol_adj, prot_adj): - - for Decoder_Block in self.Decoder_Blocks: - mol_annot, prot_annot, mol_adj, prot_adj = Decoder_Block(mol_annot, prot_annot, mol_adj, prot_adj) - - return mol_annot, prot_annot,mol_adj, prot_adj - \ No newline at end of file diff --git a/spaces/HaHaBill/LandShapes-Antarctica/models/stylegan2/stylegan2-pytorch/lpips/base_model.py b/spaces/HaHaBill/LandShapes-Antarctica/models/stylegan2/stylegan2-pytorch/lpips/base_model.py deleted file mode 100644 index 8de1d16f0c7fa52d8067139abc6e769e96d0a6a1..0000000000000000000000000000000000000000 --- a/spaces/HaHaBill/LandShapes-Antarctica/models/stylegan2/stylegan2-pytorch/lpips/base_model.py +++ /dev/null @@ -1,58 +0,0 @@ -import os -import numpy as np -import torch -from torch.autograd import Variable -from pdb import set_trace as st -from IPython import embed - -class BaseModel(): - def __init__(self): - pass; - - def name(self): - return 'BaseModel' - - def initialize(self, use_gpu=True, gpu_ids=[0]): - self.use_gpu = use_gpu - self.gpu_ids = gpu_ids - - def forward(self): - pass - - def get_image_paths(self): - pass - - def optimize_parameters(self): - pass - - def get_current_visuals(self): - return self.input - - def get_current_errors(self): - return {} - - def save(self, label): - pass - - # helper saving function that can be used by subclasses - def save_network(self, network, path, network_label, epoch_label): - save_filename = '%s_net_%s.pth' % (epoch_label, network_label) - save_path = os.path.join(path, save_filename) - torch.save(network.state_dict(), save_path) - - # helper loading function that can be used by subclasses - def load_network(self, network, network_label, epoch_label): - save_filename = '%s_net_%s.pth' % (epoch_label, network_label) - save_path = os.path.join(self.save_dir, save_filename) - print('Loading network from %s'%save_path) - network.load_state_dict(torch.load(save_path)) - - def update_learning_rate(): - pass - - def get_image_paths(self): - return self.image_paths - - def save_done(self, flag=False): - np.save(os.path.join(self.save_dir, 'done_flag'),flag) - np.savetxt(os.path.join(self.save_dir, 'done_flag'),[flag,],fmt='%i') diff --git a/spaces/HaloMaster/chinesesummary/fengshen/data/megatron_dataloader/Makefile b/spaces/HaloMaster/chinesesummary/fengshen/data/megatron_dataloader/Makefile deleted file mode 100644 index 8f9db7686696fbea6c94b998db4b40ef426c748d..0000000000000000000000000000000000000000 --- a/spaces/HaloMaster/chinesesummary/fengshen/data/megatron_dataloader/Makefile +++ /dev/null @@ -1,9 +0,0 @@ -CXXFLAGS += -O3 -Wall -shared -std=c++11 -fPIC -fdiagnostics-color -CPPFLAGS += $(shell python3 -m pybind11 --includes) -LIBNAME = helpers -LIBEXT = $(shell python3-config --extension-suffix) - -default: $(LIBNAME)$(LIBEXT) - -%$(LIBEXT): %.cpp - $(CXX) $(CXXFLAGS) $(CPPFLAGS) $< -o $@ diff --git a/spaces/HamidRezaAttar/gpt2-home/app.py b/spaces/HamidRezaAttar/gpt2-home/app.py deleted file mode 100644 index e6dfc04ecea6099ff815c8236a8ad1e2a84de394..0000000000000000000000000000000000000000 --- a/spaces/HamidRezaAttar/gpt2-home/app.py +++ /dev/null @@ -1,140 +0,0 @@ -import streamlit as st -from transformers import pipeline, set_seed -from transformers import AutoTokenizer -from normalizer import Normalizer -import random - -import meta -import examples -from utils import ( - remote_css, - local_css -) - - -class TextGeneration: - def __init__(self): - self.debug = False - self.dummy_output = None - self.tokenizer = None - self.generator = None - self.task = "text-generation" - self.model_name_or_path = "HamidRezaAttar/gpt2-product-description-generator" - set_seed(42) - - def load(self): - if not self.debug: - self.tokenizer = AutoTokenizer.from_pretrained(self.model_name_or_path) - self.generator = pipeline(self.task, model=self.model_name_or_path, tokenizer=self.model_name_or_path) - - def generate(self, prompt, generation_kwargs): - if not self.debug: - generation_kwargs["num_return_sequences"] = 1 - - max_length = len(self.tokenizer(prompt)["input_ids"]) + generation_kwargs["max_length"] - generation_kwargs["max_length"] = max_length - - generation_kwargs["return_full_text"] = False - - return self.generator( - prompt, - **generation_kwargs, - )[0]["generated_text"] - - return self.dummy_output - - -@st.cache(allow_output_mutation=True) -def load_text_generator(): - generator = TextGeneration() - generator.load() - return generator - - -def main(): - st.set_page_config( - page_title="GPT2 - Home", - page_icon="🏡", - layout="wide", - initial_sidebar_state="expanded" - ) - remote_css("https://fonts.googleapis.com/css2?family=Roboto:wght@300&display=swap%22%20rel=%22stylesheet%22") - local_css("assets/ltr.css") - generator = load_text_generator() - - st.sidebar.markdown(meta.SIDEBAR_INFO) - - max_length = st.sidebar.slider( - label='Max Length', - help="The maximum length of the sequence to be generated.", - min_value=1, - max_value=128, - value=50, - step=1 - ) - top_k = st.sidebar.slider( - label='Top-k', - help="The number of highest probability vocabulary tokens to keep for top-k-filtering", - min_value=40, - max_value=80, - value=50, - step=1 - ) - top_p = st.sidebar.slider( - label='Top-p', - help="Only the most probable tokens with probabilities that add up to `top_p` or higher are kept for " - "generation.", - min_value=0.0, - max_value=1.0, - value=0.95, - step=0.01 - ) - temperature = st.sidebar.slider( - label='Temperature', - help="The value used to module the next token probabilities", - min_value=0.1, - max_value=10.0, - value=1.0, - step=0.05 - ) - do_sample = st.sidebar.selectbox( - label='Sampling ?', - options=(True, False), - help="Whether or not to use sampling; use greedy decoding otherwise.", - ) - generation_kwargs = { - "max_length": max_length, - "top_k": top_k, - "top_p": top_p, - "temperature": temperature, - "do_sample": do_sample, - } - - st.markdown(meta.HEADER_INFO) - prompts = list(examples.EXAMPLES.keys()) + ["Custom"] - prompt = st.selectbox('Examples', prompts, index=len(prompts) - 1) - - if prompt == "Custom": - prompt_box = meta.PROMPT_BOX - else: - prompt_box = random.choice(examples.EXAMPLES[prompt]) - - text = st.text_area("Enter text", prompt_box) - generation_kwargs_ph = st.empty() - cleaner = Normalizer() - if st.button("Generate !"): - with st.spinner(text="Generating ..."): - generation_kwargs_ph.markdown(", ".join([f"`{k}`: {v}" for k, v in generation_kwargs.items()])) - if text: - generated_text = generator.generate(text, generation_kwargs) - generated_text = cleaner.clean_txt(generated_text) - st.markdown( - f'

' - f'{text} ' - f'{generated_text}' - f'

', - unsafe_allow_html=True - ) - -if __name__ == '__main__': - main() diff --git a/spaces/HarryLee/eCommerceImageCaptioning/fairseq/examples/textless_nlp/gslm/unit2speech/tacotron2/audio_processing.py b/spaces/HarryLee/eCommerceImageCaptioning/fairseq/examples/textless_nlp/gslm/unit2speech/tacotron2/audio_processing.py deleted file mode 100644 index b5af7f723eb8047bc58db2f85234aea161fbc659..0000000000000000000000000000000000000000 --- a/spaces/HarryLee/eCommerceImageCaptioning/fairseq/examples/textless_nlp/gslm/unit2speech/tacotron2/audio_processing.py +++ /dev/null @@ -1,93 +0,0 @@ -import torch -import numpy as np -from scipy.signal import get_window -import librosa.util as librosa_util - - -def window_sumsquare(window, n_frames, hop_length=200, win_length=800, - n_fft=800, dtype=np.float32, norm=None): - """ - # from librosa 0.6 - Compute the sum-square envelope of a window function at a given hop length. - - This is used to estimate modulation effects induced by windowing - observations in short-time fourier transforms. - - Parameters - ---------- - window : string, tuple, number, callable, or list-like - Window specification, as in `get_window` - - n_frames : int > 0 - The number of analysis frames - - hop_length : int > 0 - The number of samples to advance between frames - - win_length : [optional] - The length of the window function. By default, this matches `n_fft`. - - n_fft : int > 0 - The length of each analysis frame. - - dtype : np.dtype - The data type of the output - - Returns - ------- - wss : np.ndarray, shape=`(n_fft + hop_length * (n_frames - 1))` - The sum-squared envelope of the window function - """ - if win_length is None: - win_length = n_fft - - n = n_fft + hop_length * (n_frames - 1) - x = np.zeros(n, dtype=dtype) - - # Compute the squared window at the desired length - win_sq = get_window(window, win_length, fftbins=True) - win_sq = librosa_util.normalize(win_sq, norm=norm)**2 - win_sq = librosa_util.pad_center(win_sq, n_fft) - - # Fill the envelope - for i in range(n_frames): - sample = i * hop_length - x[sample:min(n, sample + n_fft)] += win_sq[:max(0, min(n_fft, n - sample))] - return x - - -def griffin_lim(magnitudes, stft_fn, n_iters=30): - """ - PARAMS - ------ - magnitudes: spectrogram magnitudes - stft_fn: STFT class with transform (STFT) and inverse (ISTFT) methods - """ - - angles = np.angle(np.exp(2j * np.pi * np.random.rand(*magnitudes.size()))) - angles = angles.astype(np.float32) - angles = torch.autograd.Variable(torch.from_numpy(angles)) - signal = stft_fn.inverse(magnitudes, angles).squeeze(1) - - for i in range(n_iters): - _, angles = stft_fn.transform(signal) - signal = stft_fn.inverse(magnitudes, angles).squeeze(1) - return signal - - -def dynamic_range_compression(x, C=1, clip_val=1e-5): - """ - PARAMS - ------ - C: compression factor - """ - return torch.log(torch.clamp(x, min=clip_val) * C) - - -def dynamic_range_decompression(x, C=1): - """ - PARAMS - ------ - C: compression factor used to compress - """ - return torch.exp(x) / C diff --git a/spaces/Harveenchadha/Vakyansh-Hindi-TTS/ttsv/scripts/inference/gradio.sh b/spaces/Harveenchadha/Vakyansh-Hindi-TTS/ttsv/scripts/inference/gradio.sh deleted file mode 100644 index 2b6657952c21ca7821a9a82ed0a38f7dcf78b8e1..0000000000000000000000000000000000000000 --- a/spaces/Harveenchadha/Vakyansh-Hindi-TTS/ttsv/scripts/inference/gradio.sh +++ /dev/null @@ -1,8 +0,0 @@ -gender='male' -glowdir='../../checkpoints/glow/'$gender'/' -hifidir='../../checkpoints/hifi/'$gender'/' -device='cpu' -lang='en' - - -python ../../utils/inference/run_gradio.py -a $glowdir -v $hifidir -d $device -L $lang \ No newline at end of file diff --git a/spaces/Hina4867/bingo/src/components/ui/dropdown-menu.tsx b/spaces/Hina4867/bingo/src/components/ui/dropdown-menu.tsx deleted file mode 100644 index 184d4e6007ef85187446362f69532ab077897fea..0000000000000000000000000000000000000000 --- a/spaces/Hina4867/bingo/src/components/ui/dropdown-menu.tsx +++ /dev/null @@ -1,128 +0,0 @@ -'use client' - -import * as React from 'react' -import * as DropdownMenuPrimitive from '@radix-ui/react-dropdown-menu' - -import { cn } from '@/lib/utils' - -const DropdownMenu = DropdownMenuPrimitive.Root - -const DropdownMenuTrigger = DropdownMenuPrimitive.Trigger - -const DropdownMenuGroup = DropdownMenuPrimitive.Group - -const DropdownMenuPortal = DropdownMenuPrimitive.Portal - -const DropdownMenuSub = DropdownMenuPrimitive.Sub - -const DropdownMenuRadioGroup = DropdownMenuPrimitive.RadioGroup - -const DropdownMenuSubContent = React.forwardRef< - React.ElementRef, - React.ComponentPropsWithoutRef ->(({ className, ...props }, ref) => ( - -)) -DropdownMenuSubContent.displayName = - DropdownMenuPrimitive.SubContent.displayName - -const DropdownMenuContent = React.forwardRef< - React.ElementRef, - React.ComponentPropsWithoutRef ->(({ className, sideOffset = 4, ...props }, ref) => ( - - - -)) -DropdownMenuContent.displayName = DropdownMenuPrimitive.Content.displayName - -const DropdownMenuItem = React.forwardRef< - React.ElementRef, - React.ComponentPropsWithoutRef & { - inset?: boolean - } ->(({ className, inset, ...props }, ref) => ( - -)) -DropdownMenuItem.displayName = DropdownMenuPrimitive.Item.displayName - -const DropdownMenuLabel = React.forwardRef< - React.ElementRef, - React.ComponentPropsWithoutRef & { - inset?: boolean - } ->(({ className, inset, ...props }, ref) => ( - -)) -DropdownMenuLabel.displayName = DropdownMenuPrimitive.Label.displayName - -const DropdownMenuSeparator = React.forwardRef< - React.ElementRef, - React.ComponentPropsWithoutRef ->(({ className, ...props }, ref) => ( - -)) -DropdownMenuSeparator.displayName = DropdownMenuPrimitive.Separator.displayName - -const DropdownMenuShortcut = ({ - className, - ...props -}: React.HTMLAttributes) => { - return ( - - ) -} -DropdownMenuShortcut.displayName = 'DropdownMenuShortcut' - -export { - DropdownMenu, - DropdownMenuTrigger, - DropdownMenuContent, - DropdownMenuItem, - DropdownMenuLabel, - DropdownMenuSeparator, - DropdownMenuShortcut, - DropdownMenuGroup, - DropdownMenuPortal, - DropdownMenuSub, - DropdownMenuSubContent, - DropdownMenuRadioGroup -} diff --git a/spaces/Iceclear/StableSR/StableSR/basicsr/data/transforms.py b/spaces/Iceclear/StableSR/StableSR/basicsr/data/transforms.py deleted file mode 100644 index c700a399bb737a2286ea705fcebd937e6fb54ca7..0000000000000000000000000000000000000000 --- a/spaces/Iceclear/StableSR/StableSR/basicsr/data/transforms.py +++ /dev/null @@ -1,240 +0,0 @@ -import cv2 -import random -import torch - - -def mod_crop(img, scale): - """Mod crop images, used during testing. - - Args: - img (ndarray): Input image. - scale (int): Scale factor. - - Returns: - ndarray: Result image. - """ - img = img.copy() - if img.ndim in (2, 3): - h, w = img.shape[0], img.shape[1] - h_remainder, w_remainder = h % scale, w % scale - img = img[:h - h_remainder, :w - w_remainder, ...] - else: - raise ValueError(f'Wrong img ndim: {img.ndim}.') - return img - - -def paired_random_crop(img_gts, img_lqs, gt_patch_size, scale, gt_path=None): - """Paired random crop. Support Numpy array and Tensor inputs. - - It crops lists of lq and gt images with corresponding locations. - - Args: - img_gts (list[ndarray] | ndarray | list[Tensor] | Tensor): GT images. Note that all images - should have the same shape. If the input is an ndarray, it will - be transformed to a list containing itself. - img_lqs (list[ndarray] | ndarray): LQ images. Note that all images - should have the same shape. If the input is an ndarray, it will - be transformed to a list containing itself. - gt_patch_size (int): GT patch size. - scale (int): Scale factor. - gt_path (str): Path to ground-truth. Default: None. - - Returns: - list[ndarray] | ndarray: GT images and LQ images. If returned results - only have one element, just return ndarray. - """ - - if not isinstance(img_gts, list): - img_gts = [img_gts] - if not isinstance(img_lqs, list): - img_lqs = [img_lqs] - - # determine input type: Numpy array or Tensor - input_type = 'Tensor' if torch.is_tensor(img_gts[0]) else 'Numpy' - - if input_type == 'Tensor': - h_lq, w_lq = img_lqs[0].size()[-2:] - h_gt, w_gt = img_gts[0].size()[-2:] - else: - h_lq, w_lq = img_lqs[0].shape[0:2] - h_gt, w_gt = img_gts[0].shape[0:2] - lq_patch_size = gt_patch_size // scale - - if h_gt != h_lq * scale or w_gt != w_lq * scale: - raise ValueError(f'Scale mismatches. GT ({h_gt}, {w_gt}) is not {scale}x ', - f'multiplication of LQ ({h_lq}, {w_lq}).') - if h_lq < lq_patch_size or w_lq < lq_patch_size: - raise ValueError(f'LQ ({h_lq}, {w_lq}) is smaller than patch size ' - f'({lq_patch_size}, {lq_patch_size}). ' - f'Please remove {gt_path}.') - - # randomly choose top and left coordinates for lq patch - top = random.randint(0, h_lq - lq_patch_size) - left = random.randint(0, w_lq - lq_patch_size) - - # crop lq patch - if input_type == 'Tensor': - img_lqs = [v[:, :, top:top + lq_patch_size, left:left + lq_patch_size] for v in img_lqs] - else: - img_lqs = [v[top:top + lq_patch_size, left:left + lq_patch_size, ...] for v in img_lqs] - - # crop corresponding gt patch - top_gt, left_gt = int(top * scale), int(left * scale) - if input_type == 'Tensor': - img_gts = [v[:, :, top_gt:top_gt + gt_patch_size, left_gt:left_gt + gt_patch_size] for v in img_gts] - else: - img_gts = [v[top_gt:top_gt + gt_patch_size, left_gt:left_gt + gt_patch_size, ...] for v in img_gts] - if len(img_gts) == 1: - img_gts = img_gts[0] - if len(img_lqs) == 1: - img_lqs = img_lqs[0] - return img_gts, img_lqs - -def triplet_random_crop(img_gts, img_lqs, img_segs, gt_patch_size, scale, gt_path=None): - - if not isinstance(img_gts, list): - img_gts = [img_gts] - if not isinstance(img_lqs, list): - img_lqs = [img_lqs] - if not isinstance(img_segs, list): - img_segs = [img_segs] - - # determine input type: Numpy array or Tensor - input_type = 'Tensor' if torch.is_tensor(img_gts[0]) else 'Numpy' - - if input_type == 'Tensor': - h_lq, w_lq = img_lqs[0].size()[-2:] - h_gt, w_gt = img_gts[0].size()[-2:] - h_seg, w_seg = img_segs[0].size()[-2:] - else: - h_lq, w_lq = img_lqs[0].shape[0:2] - h_gt, w_gt = img_gts[0].shape[0:2] - h_seg, w_seg = img_segs[0].shape[0:2] - lq_patch_size = gt_patch_size // scale - - if h_gt != h_lq * scale or w_gt != w_lq * scale: - raise ValueError(f'Scale mismatches. GT ({h_gt}, {w_gt}) is not {scale}x ', - f'multiplication of LQ ({h_lq}, {w_lq}).') - if h_lq < lq_patch_size or w_lq < lq_patch_size: - raise ValueError(f'LQ ({h_lq}, {w_lq}) is smaller than patch size ' - f'({lq_patch_size}, {lq_patch_size}). ' - f'Please remove {gt_path}.') - - # randomly choose top and left coordinates for lq patch - top = random.randint(0, h_lq - lq_patch_size) - left = random.randint(0, w_lq - lq_patch_size) - - # crop lq patch - if input_type == 'Tensor': - img_lqs = [v[:, :, top:top + lq_patch_size, left:left + lq_patch_size] for v in img_lqs] - else: - img_lqs = [v[top:top + lq_patch_size, left:left + lq_patch_size, ...] for v in img_lqs] - - # crop corresponding gt patch - top_gt, left_gt = int(top * scale), int(left * scale) - if input_type == 'Tensor': - img_gts = [v[:, :, top_gt:top_gt + gt_patch_size, left_gt:left_gt + gt_patch_size] for v in img_gts] - else: - img_gts = [v[top_gt:top_gt + gt_patch_size, left_gt:left_gt + gt_patch_size, ...] for v in img_gts] - - if input_type == 'Tensor': - img_segs = [v[:, :, top_gt:top_gt + gt_patch_size, left_gt:left_gt + gt_patch_size] for v in img_segs] - else: - img_segs = [v[top_gt:top_gt + gt_patch_size, left_gt:left_gt + gt_patch_size, ...] for v in img_segs] - - if len(img_gts) == 1: - img_gts = img_gts[0] - if len(img_lqs) == 1: - img_lqs = img_lqs[0] - if len(img_segs) == 1: - img_segs = img_segs[0] - - return img_gts, img_lqs, img_segs - - -def augment(imgs, hflip=True, rotation=True, flows=None, return_status=False): - """Augment: horizontal flips OR rotate (0, 90, 180, 270 degrees). - - We use vertical flip and transpose for rotation implementation. - All the images in the list use the same augmentation. - - Args: - imgs (list[ndarray] | ndarray): Images to be augmented. If the input - is an ndarray, it will be transformed to a list. - hflip (bool): Horizontal flip. Default: True. - rotation (bool): Ratotation. Default: True. - flows (list[ndarray]: Flows to be augmented. If the input is an - ndarray, it will be transformed to a list. - Dimension is (h, w, 2). Default: None. - return_status (bool): Return the status of flip and rotation. - Default: False. - - Returns: - list[ndarray] | ndarray: Augmented images and flows. If returned - results only have one element, just return ndarray. - - """ - hflip = hflip and random.random() < 0.5 - vflip = rotation and random.random() < 0.5 - rot90 = rotation and random.random() < 0.5 - - def _augment(img): - if hflip: # horizontal - cv2.flip(img, 1, img) - if vflip: # vertical - cv2.flip(img, 0, img) - if rot90: - img = img.transpose(1, 0, 2) - return img - - def _augment_flow(flow): - if hflip: # horizontal - cv2.flip(flow, 1, flow) - flow[:, :, 0] *= -1 - if vflip: # vertical - cv2.flip(flow, 0, flow) - flow[:, :, 1] *= -1 - if rot90: - flow = flow.transpose(1, 0, 2) - flow = flow[:, :, [1, 0]] - return flow - - if not isinstance(imgs, list): - imgs = [imgs] - imgs = [_augment(img) for img in imgs] - if len(imgs) == 1: - imgs = imgs[0] - - if flows is not None: - if not isinstance(flows, list): - flows = [flows] - flows = [_augment_flow(flow) for flow in flows] - if len(flows) == 1: - flows = flows[0] - return imgs, flows - else: - if return_status: - return imgs, (hflip, vflip, rot90) - else: - return imgs - - -def img_rotate(img, angle, center=None, scale=1.0): - """Rotate image. - - Args: - img (ndarray): Image to be rotated. - angle (float): Rotation angle in degrees. Positive values mean - counter-clockwise rotation. - center (tuple[int]): Rotation center. If the center is None, - initialize it as the center of the image. Default: None. - scale (float): Isotropic scale factor. Default: 1.0. - """ - (h, w) = img.shape[:2] - - if center is None: - center = (w // 2, h // 2) - - matrix = cv2.getRotationMatrix2D(center, angle, scale) - rotated_img = cv2.warpAffine(img, matrix, (w, h)) - return rotated_img diff --git a/spaces/Iceclear/StableSR/StableSR/basicsr/models/video_gan_model.py b/spaces/Iceclear/StableSR/StableSR/basicsr/models/video_gan_model.py deleted file mode 100644 index a2adcdeee59e494dd7d1c285919fac5c99cd9efb..0000000000000000000000000000000000000000 --- a/spaces/Iceclear/StableSR/StableSR/basicsr/models/video_gan_model.py +++ /dev/null @@ -1,19 +0,0 @@ -from basicsr.utils.registry import MODEL_REGISTRY -from .srgan_model import SRGANModel -from .video_base_model import VideoBaseModel - - -@MODEL_REGISTRY.register() -class VideoGANModel(SRGANModel, VideoBaseModel): - """Video GAN model. - - Use multiple inheritance. - It will first use the functions of :class:`SRGANModel`: - - - :func:`init_training_settings` - - :func:`setup_optimizers` - - :func:`optimize_parameters` - - :func:`save` - - Then find functions in :class:`VideoBaseModel`. - """ diff --git a/spaces/Jasonyoyo/CodeFormer/CodeFormer/README.md b/spaces/Jasonyoyo/CodeFormer/CodeFormer/README.md deleted file mode 100644 index 65810cdf4ce36d8ba152de80df00fa4c8802ee81..0000000000000000000000000000000000000000 --- a/spaces/Jasonyoyo/CodeFormer/CodeFormer/README.md +++ /dev/null @@ -1,123 +0,0 @@ -

- -

- -## Towards Robust Blind Face Restoration with Codebook Lookup Transformer - -[Paper](https://arxiv.org/abs/2206.11253) | [Project Page](https://shangchenzhou.com/projects/CodeFormer/) | [Video](https://youtu.be/d3VDpkXlueI) - - -google colab logo [![Replicate](https://img.shields.io/badge/Demo-%F0%9F%9A%80%20Replicate-blue)](https://replicate.com/sczhou/codeformer) ![visitors](https://visitor-badge.glitch.me/badge?page_id=sczhou/CodeFormer) - -[Shangchen Zhou](https://shangchenzhou.com/), [Kelvin C.K. Chan](https://ckkelvinchan.github.io/), [Chongyi Li](https://li-chongyi.github.io/), [Chen Change Loy](https://www.mmlab-ntu.com/person/ccloy/) - -S-Lab, Nanyang Technological University - - - - -:star: If CodeFormer is helpful to your images or projects, please help star this repo. Thanks! :hugs: - -### Update - -- **2022.09.09**: Integrated to :rocket: [Replicate](https://replicate.com/). Try out online demo! [![Replicate](https://img.shields.io/badge/Demo-%F0%9F%9A%80%20Replicate-blue)](https://replicate.com/sczhou/codeformer) -- **2022.09.04**: Add face upsampling `--face_upsample` for high-resolution AI-created face enhancement. -- **2022.08.23**: Some modifications on face detection and fusion for better AI-created face enhancement. -- **2022.08.07**: Integrate [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN) to support background image enhancement. -- **2022.07.29**: Integrate new face detectors of `['RetinaFace'(default), 'YOLOv5']`. -- **2022.07.17**: Add Colab demo of CodeFormer. google colab logo -- **2022.07.16**: Release inference code for face restoration. :blush: -- **2022.06.21**: This repo is created. - -### TODO -- [ ] Add checkpoint for face inpainting -- [ ] Add training code and config files -- [x] ~~Add background image enhancement~~ - -#### Face Restoration - - - - -#### Face Color Enhancement and Restoration - - - -#### Face Inpainting - - - - - -### Dependencies and Installation - -- Pytorch >= 1.7.1 -- CUDA >= 10.1 -- Other required packages in `requirements.txt` -``` -# git clone this repository -git clone https://github.com/sczhou/CodeFormer -cd CodeFormer - -# create new anaconda env -conda create -n codeformer python=3.8 -y -conda activate codeformer - -# install python dependencies -pip3 install -r requirements.txt -python basicsr/setup.py develop -``` - - -### Quick Inference - -##### Download Pre-trained Models: -Download the facelib pretrained models from [[Google Drive](https://drive.google.com/drive/folders/1b_3qwrzY_kTQh0-SnBoGBgOrJ_PLZSKm?usp=sharing) | [OneDrive](https://entuedu-my.sharepoint.com/:f:/g/personal/s200094_e_ntu_edu_sg/EvDxR7FcAbZMp_MA9ouq7aQB8XTppMb3-T0uGZ_2anI2mg?e=DXsJFo)] to the `weights/facelib` folder. You can manually download the pretrained models OR download by runing the following command. -``` -python scripts/download_pretrained_models.py facelib -``` - -Download the CodeFormer pretrained models from [[Google Drive](https://drive.google.com/drive/folders/1CNNByjHDFt0b95q54yMVp6Ifo5iuU6QS?usp=sharing) | [OneDrive](https://entuedu-my.sharepoint.com/:f:/g/personal/s200094_e_ntu_edu_sg/EoKFj4wo8cdIn2-TY2IV6CYBhZ0pIG4kUOeHdPR_A5nlbg?e=AO8UN9)] to the `weights/CodeFormer` folder. You can manually download the pretrained models OR download by runing the following command. -``` -python scripts/download_pretrained_models.py CodeFormer -``` - -##### Prepare Testing Data: -You can put the testing images in the `inputs/TestWhole` folder. If you would like to test on cropped and aligned faces, you can put them in the `inputs/cropped_faces` folder. - - -##### Testing on Face Restoration: -``` -# For cropped and aligned faces -python inference_codeformer.py --w 0.5 --has_aligned --test_path [input folder] - -# For the whole images -# Add '--bg_upsampler realesrgan' to enhance the background regions with Real-ESRGAN -# Add '--face_upsample' to further upsample restorated face with Real-ESRGAN -python inference_codeformer.py --w 0.7 --test_path [input folder] -``` - -NOTE that *w* is in [0, 1]. Generally, smaller *w* tends to produce a higher-quality result, while larger *w* yields a higher-fidelity result. - -The results will be saved in the `results` folder. - -### Citation -If our work is useful for your research, please consider citing: - - @article{zhou2022codeformer, - author = {Zhou, Shangchen and Chan, Kelvin C.K. and Li, Chongyi and Loy, Chen Change}, - title = {Towards Robust Blind Face Restoration with Codebook Lookup TransFormer}, - journal = {arXiv preprint arXiv:2206.11253}, - year = {2022} - } - -### License - -Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. - -### Acknowledgement - -This project is based on [BasicSR](https://github.com/XPixelGroup/BasicSR). We also borrow some codes from [Unleashing Transformers](https://github.com/samb-t/unleashing-transformers), [YOLOv5-face](https://github.com/deepcam-cn/yolov5-face), and [FaceXLib](https://github.com/xinntao/facexlib). Thanks for their awesome works. - -### Contact -If you have any question, please feel free to reach me out at `shangchenzhou@gmail.com`. \ No newline at end of file diff --git a/spaces/JeffJing/ZookChatBot/tls_client/__init__.py b/spaces/JeffJing/ZookChatBot/tls_client/__init__.py deleted file mode 100644 index 7b8d0e54028b3fdb06ae2b10ea5d9de5ae95e09d..0000000000000000000000000000000000000000 --- a/spaces/JeffJing/ZookChatBot/tls_client/__init__.py +++ /dev/null @@ -1,15 +0,0 @@ -# _____ __ __ ___ _ _ _ -# /__ \/ / / _\ / __\ (_) ___ _ __ | |_ -# / /\/ / \ \ _____ / / | | |/ _ \ '_ \| __| -# / / / /____\ \_____/ /___| | | __/ | | | |_ -# \/ \____/\__/ \____/|_|_|\___|_| |_|\__| - -# Disclaimer: -# Big shout out to Bogdanfinn for open sourcing his tls-client in Golang. -# Also to requests, as most of the cookie handling is copied from it. :'D -# I wanted to keep the syntax as similar as possible to requests, as most people use it and are familiar with it! -# Links: -# tls-client: https://github.com/bogdanfinn/tls-client -# requests: https://github.com/psf/requests - -from .sessions import Session \ No newline at end of file diff --git a/spaces/Jeffreylex/bigscience-bloom/app.py b/spaces/Jeffreylex/bigscience-bloom/app.py deleted file mode 100644 index e2baf29247fdd75903697d71a498e9de137f37bc..0000000000000000000000000000000000000000 --- a/spaces/Jeffreylex/bigscience-bloom/app.py +++ /dev/null @@ -1,3 +0,0 @@ -import gradio as gr - -gr.Interface.load("models/bigscience/bloom").launch() \ No newline at end of file diff --git a/spaces/JohnSmith9982/VITS-Umamusume-voice-synthesizer/ONNXVITS_utils.py b/spaces/JohnSmith9982/VITS-Umamusume-voice-synthesizer/ONNXVITS_utils.py deleted file mode 100644 index b634ce380421571e6e07fb45dd59717b3f63115c..0000000000000000000000000000000000000000 --- a/spaces/JohnSmith9982/VITS-Umamusume-voice-synthesizer/ONNXVITS_utils.py +++ /dev/null @@ -1,19 +0,0 @@ -import torch -import numpy as np -import random -import onnxruntime as ort -def set_random_seed(seed=0): - ort.set_seed(seed) - torch.manual_seed(seed) - torch.cuda.manual_seed(seed) - torch.backends.cudnn.deterministic = True - random.seed(seed) - np.random.seed(seed) - -def runonnx(model_path, **kwargs): - ort_session = ort.InferenceSession(model_path) - outputs = ort_session.run( - None, - kwargs - ) - return outputs \ No newline at end of file diff --git a/spaces/JunghunleePhD/catsClassification/README.md b/spaces/JunghunleePhD/catsClassification/README.md deleted file mode 100644 index 5fb1b2f33cecd0ee6dbc3cfaeb5e2d31189d4d73..0000000000000000000000000000000000000000 --- a/spaces/JunghunleePhD/catsClassification/README.md +++ /dev/null @@ -1,13 +0,0 @@ ---- -title: CatsClassification -emoji: 🐨 -colorFrom: red -colorTo: gray -sdk: gradio -sdk_version: 3.50.2 -app_file: app.py -pinned: false -license: mit ---- - -Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference diff --git a/spaces/Kevin676/Clone-Your-Voice/encoder/params_data.py b/spaces/Kevin676/Clone-Your-Voice/encoder/params_data.py deleted file mode 100644 index bdb1716ed45617f2b127a7fb8885afe6cc74fb71..0000000000000000000000000000000000000000 --- a/spaces/Kevin676/Clone-Your-Voice/encoder/params_data.py +++ /dev/null @@ -1,29 +0,0 @@ - -## Mel-filterbank -mel_window_length = 25 # In milliseconds -mel_window_step = 10 # In milliseconds -mel_n_channels = 40 - - -## Audio -sampling_rate = 16000 -# Number of spectrogram frames in a partial utterance -partials_n_frames = 160 # 1600 ms -# Number of spectrogram frames at inference -inference_n_frames = 80 # 800 ms - - -## Voice Activation Detection -# Window size of the VAD. Must be either 10, 20 or 30 milliseconds. -# This sets the granularity of the VAD. Should not need to be changed. -vad_window_length = 30 # In milliseconds -# Number of frames to average together when performing the moving average smoothing. -# The larger this value, the larger the VAD variations must be to not get smoothed out. -vad_moving_average_width = 8 -# Maximum number of consecutive silent frames a segment can have. -vad_max_silence_length = 6 - - -## Audio volume normalization -audio_norm_target_dBFS = -30 - diff --git a/spaces/Kimata/Sanskrit-TTS/model_modules/attentions.py b/spaces/Kimata/Sanskrit-TTS/model_modules/attentions.py deleted file mode 100644 index 86123bf662b92402ecd7baa5d5b76928930f7c49..0000000000000000000000000000000000000000 --- a/spaces/Kimata/Sanskrit-TTS/model_modules/attentions.py +++ /dev/null @@ -1,300 +0,0 @@ -import math -import torch -from torch import nn -from torch.nn import functional as F - -from model_modules import commons -from modules import LayerNorm - - -class Encoder(nn.Module): - def __init__(self, hidden_channels, filter_channels, n_heads, n_layers, kernel_size=1, p_dropout=0., window_size=4, **kwargs): - super().__init__() - self.hidden_channels = hidden_channels - self.filter_channels = filter_channels - self.n_heads = n_heads - self.n_layers = n_layers - self.kernel_size = kernel_size - self.p_dropout = p_dropout - self.window_size = window_size - - self.drop = nn.Dropout(p_dropout) - self.attn_layers = nn.ModuleList() - self.norm_layers_1 = nn.ModuleList() - self.ffn_layers = nn.ModuleList() - self.norm_layers_2 = nn.ModuleList() - for i in range(self.n_layers): - self.attn_layers.append(MultiHeadAttention(hidden_channels, hidden_channels, n_heads, p_dropout=p_dropout, window_size=window_size)) - self.norm_layers_1.append(LayerNorm(hidden_channels)) - self.ffn_layers.append(FFN(hidden_channels, hidden_channels, filter_channels, kernel_size, p_dropout=p_dropout)) - self.norm_layers_2.append(LayerNorm(hidden_channels)) - - def forward(self, x, x_mask): - attn_mask = x_mask.unsqueeze(2) * x_mask.unsqueeze(-1) - x = x * x_mask - for i in range(self.n_layers): - y = self.attn_layers[i](x, x, attn_mask) - y = self.drop(y) - x = self.norm_layers_1[i](x + y) - - y = self.ffn_layers[i](x, x_mask) - y = self.drop(y) - x = self.norm_layers_2[i](x + y) - x = x * x_mask - return x - - -class Decoder(nn.Module): - def __init__(self, hidden_channels, filter_channels, n_heads, n_layers, kernel_size=1, p_dropout=0., proximal_bias=False, proximal_init=True, **kwargs): - super().__init__() - self.hidden_channels = hidden_channels - self.filter_channels = filter_channels - self.n_heads = n_heads - self.n_layers = n_layers - self.kernel_size = kernel_size - self.p_dropout = p_dropout - self.proximal_bias = proximal_bias - self.proximal_init = proximal_init - - self.drop = nn.Dropout(p_dropout) - self.self_attn_layers = nn.ModuleList() - self.norm_layers_0 = nn.ModuleList() - self.encdec_attn_layers = nn.ModuleList() - self.norm_layers_1 = nn.ModuleList() - self.ffn_layers = nn.ModuleList() - self.norm_layers_2 = nn.ModuleList() - for i in range(self.n_layers): - self.self_attn_layers.append(MultiHeadAttention(hidden_channels, hidden_channels, n_heads, p_dropout=p_dropout, proximal_bias=proximal_bias, proximal_init=proximal_init)) - self.norm_layers_0.append(LayerNorm(hidden_channels)) - self.encdec_attn_layers.append(MultiHeadAttention(hidden_channels, hidden_channels, n_heads, p_dropout=p_dropout)) - self.norm_layers_1.append(LayerNorm(hidden_channels)) - self.ffn_layers.append(FFN(hidden_channels, hidden_channels, filter_channels, kernel_size, p_dropout=p_dropout, causal=True)) - self.norm_layers_2.append(LayerNorm(hidden_channels)) - - def forward(self, x, x_mask, h, h_mask): - """ - x: decoder input - h: encoder output - """ - self_attn_mask = commons.subsequent_mask(x_mask.size(2)).to(device=x.device, dtype=x.dtype) - encdec_attn_mask = h_mask.unsqueeze(2) * x_mask.unsqueeze(-1) - x = x * x_mask - for i in range(self.n_layers): - y = self.self_attn_layers[i](x, x, self_attn_mask) - y = self.drop(y) - x = self.norm_layers_0[i](x + y) - - y = self.encdec_attn_layers[i](x, h, encdec_attn_mask) - y = self.drop(y) - x = self.norm_layers_1[i](x + y) - - y = self.ffn_layers[i](x, x_mask) - y = self.drop(y) - x = self.norm_layers_2[i](x + y) - x = x * x_mask - return x - - -class MultiHeadAttention(nn.Module): - def __init__(self, channels, out_channels, n_heads, p_dropout=0., window_size=None, heads_share=True, block_length=None, proximal_bias=False, proximal_init=False): - super().__init__() - assert channels % n_heads == 0 - - self.channels = channels - self.out_channels = out_channels - self.n_heads = n_heads - self.p_dropout = p_dropout - self.window_size = window_size - self.heads_share = heads_share - self.block_length = block_length - self.proximal_bias = proximal_bias - self.proximal_init = proximal_init - self.attn = None - - self.k_channels = channels // n_heads - self.conv_q = nn.Conv1d(channels, channels, 1) - self.conv_k = nn.Conv1d(channels, channels, 1) - self.conv_v = nn.Conv1d(channels, channels, 1) - self.conv_o = nn.Conv1d(channels, out_channels, 1) - self.drop = nn.Dropout(p_dropout) - - if window_size is not None: - n_heads_rel = 1 if heads_share else n_heads - rel_stddev = self.k_channels**-0.5 - self.emb_rel_k = nn.Parameter(torch.randn(n_heads_rel, window_size * 2 + 1, self.k_channels) * rel_stddev) - self.emb_rel_v = nn.Parameter(torch.randn(n_heads_rel, window_size * 2 + 1, self.k_channels) * rel_stddev) - - nn.init.xavier_uniform_(self.conv_q.weight) - nn.init.xavier_uniform_(self.conv_k.weight) - nn.init.xavier_uniform_(self.conv_v.weight) - if proximal_init: - with torch.no_grad(): - self.conv_k.weight.copy_(self.conv_q.weight) - self.conv_k.bias.copy_(self.conv_q.bias) - - def forward(self, x, c, attn_mask=None): - q = self.conv_q(x) - k = self.conv_k(c) - v = self.conv_v(c) - - x, self.attn = self.attention(q, k, v, mask=attn_mask) - - x = self.conv_o(x) - return x - - def attention(self, query, key, value, mask=None): - # reshape [b, d, t] -> [b, n_h, t, d_k] - b, d, t_s, t_t = (*key.size(), query.size(2)) - query = query.view(b, self.n_heads, self.k_channels, t_t).transpose(2, 3) - key = key.view(b, self.n_heads, self.k_channels, t_s).transpose(2, 3) - value = value.view(b, self.n_heads, self.k_channels, t_s).transpose(2, 3) - - scores = torch.matmul(query / math.sqrt(self.k_channels), key.transpose(-2, -1)) - if self.window_size is not None: - assert t_s == t_t, "Relative attention is only available for self-attention." - key_relative_embeddings = self._get_relative_embeddings(self.emb_rel_k, t_s) - rel_logits = self._matmul_with_relative_keys(query /math.sqrt(self.k_channels), key_relative_embeddings) - scores_local = self._relative_position_to_absolute_position(rel_logits) - scores = scores + scores_local - if self.proximal_bias: - assert t_s == t_t, "Proximal bias is only available for self-attention." - scores = scores + self._attention_bias_proximal(t_s).to(device=scores.device, dtype=scores.dtype) - if mask is not None: - scores = scores.masked_fill(mask == 0, -1e4) - if self.block_length is not None: - assert t_s == t_t, "Local attention is only available for self-attention." - block_mask = torch.ones_like(scores).triu(-self.block_length).tril(self.block_length) - scores = scores.masked_fill(block_mask == 0, -1e4) - p_attn = F.softmax(scores, dim=-1) # [b, n_h, t_t, t_s] - p_attn = self.drop(p_attn) - output = torch.matmul(p_attn, value) - if self.window_size is not None: - relative_weights = self._absolute_position_to_relative_position(p_attn) - value_relative_embeddings = self._get_relative_embeddings(self.emb_rel_v, t_s) - output = output + self._matmul_with_relative_values(relative_weights, value_relative_embeddings) - output = output.transpose(2, 3).contiguous().view(b, d, t_t) # [b, n_h, t_t, d_k] -> [b, d, t_t] - return output, p_attn - - def _matmul_with_relative_values(self, x, y): - """ - x: [b, h, l, m] - y: [h or 1, m, d] - ret: [b, h, l, d] - """ - ret = torch.matmul(x, y.unsqueeze(0)) - return ret - - def _matmul_with_relative_keys(self, x, y): - """ - x: [b, h, l, d] - y: [h or 1, m, d] - ret: [b, h, l, m] - """ - ret = torch.matmul(x, y.unsqueeze(0).transpose(-2, -1)) - return ret - - def _get_relative_embeddings(self, relative_embeddings, length): - max_relative_position = 2 * self.window_size + 1 - # Pad first before slice to avoid using cond ops. - pad_length = max(length - (self.window_size + 1), 0) - slice_start_position = max((self.window_size + 1) - length, 0) - slice_end_position = slice_start_position + 2 * length - 1 - if pad_length > 0: - padded_relative_embeddings = F.pad( - relative_embeddings, - commons.convert_pad_shape([[0, 0], [pad_length, pad_length], [0, 0]])) - else: - padded_relative_embeddings = relative_embeddings - used_relative_embeddings = padded_relative_embeddings[:,slice_start_position:slice_end_position] - return used_relative_embeddings - - def _relative_position_to_absolute_position(self, x): - """ - x: [b, h, l, 2*l-1] - ret: [b, h, l, l] - """ - batch, heads, length, _ = x.size() - # Concat columns of pad to shift from relative to absolute indexing. - x = F.pad(x, commons.convert_pad_shape([[0,0],[0,0],[0,0],[0,1]])) - - # Concat extra elements so to add up to shape (len+1, 2*len-1). - x_flat = x.view([batch, heads, length * 2 * length]) - x_flat = F.pad(x_flat, commons.convert_pad_shape([[0,0],[0,0],[0,length-1]])) - - # Reshape and slice out the padded elements. - x_final = x_flat.view([batch, heads, length+1, 2*length-1])[:, :, :length, length-1:] - return x_final - - def _absolute_position_to_relative_position(self, x): - """ - x: [b, h, l, l] - ret: [b, h, l, 2*l-1] - """ - batch, heads, length, _ = x.size() - # padd along column - x = F.pad(x, commons.convert_pad_shape([[0, 0], [0, 0], [0, 0], [0, length-1]])) - x_flat = x.view([batch, heads, length**2 + length*(length -1)]) - # add 0's in the beginning that will skew the elements after reshape - x_flat = F.pad(x_flat, commons.convert_pad_shape([[0, 0], [0, 0], [length, 0]])) - x_final = x_flat.view([batch, heads, length, 2*length])[:,:,:,1:] - return x_final - - def _attention_bias_proximal(self, length): - """Bias for self-attention to encourage attention to close positions. - Args: - length: an integer scalar. - Returns: - a Tensor with shape [1, 1, length, length] - """ - r = torch.arange(length, dtype=torch.float32) - diff = torch.unsqueeze(r, 0) - torch.unsqueeze(r, 1) - return torch.unsqueeze(torch.unsqueeze(-torch.log1p(torch.abs(diff)), 0), 0) - - -class FFN(nn.Module): - def __init__(self, in_channels, out_channels, filter_channels, kernel_size, p_dropout=0., activation=None, causal=False): - super().__init__() - self.in_channels = in_channels - self.out_channels = out_channels - self.filter_channels = filter_channels - self.kernel_size = kernel_size - self.p_dropout = p_dropout - self.activation = activation - self.causal = causal - - if causal: - self.padding = self._causal_padding - else: - self.padding = self._same_padding - - self.conv_1 = nn.Conv1d(in_channels, filter_channels, kernel_size) - self.conv_2 = nn.Conv1d(filter_channels, out_channels, kernel_size) - self.drop = nn.Dropout(p_dropout) - - def forward(self, x, x_mask): - x = self.conv_1(self.padding(x * x_mask)) - if self.activation == "gelu": - x = x * torch.sigmoid(1.702 * x) - else: - x = torch.relu(x) - x = self.drop(x) - x = self.conv_2(self.padding(x * x_mask)) - return x * x_mask - - def _causal_padding(self, x): - if self.kernel_size == 1: - return x - pad_l = self.kernel_size - 1 - pad_r = 0 - padding = [[0, 0], [0, 0], [pad_l, pad_r]] - x = F.pad(x, commons.convert_pad_shape(padding)) - return x - - def _same_padding(self, x): - if self.kernel_size == 1: - return x - pad_l = (self.kernel_size - 1) // 2 - pad_r = self.kernel_size // 2 - padding = [[0, 0], [0, 0], [pad_l, pad_r]] - x = F.pad(x, commons.convert_pad_shape(padding)) - return x diff --git a/spaces/KyanChen/RSPrompter/mmdet/models/detectors/rpn.py b/spaces/KyanChen/RSPrompter/mmdet/models/detectors/rpn.py deleted file mode 100644 index 72fe8521fcc9bc796801b2dd68269bb57aaab984..0000000000000000000000000000000000000000 --- a/spaces/KyanChen/RSPrompter/mmdet/models/detectors/rpn.py +++ /dev/null @@ -1,81 +0,0 @@ -# Copyright (c) OpenMMLab. All rights reserved. -import copy -import warnings - -import torch -from torch import Tensor - -from mmdet.registry import MODELS -from mmdet.structures import SampleList -from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig -from .single_stage import SingleStageDetector - - -@MODELS.register_module() -class RPN(SingleStageDetector): - """Implementation of Region Proposal Network. - - Args: - backbone (:obj:`ConfigDict` or dict): The backbone config. - neck (:obj:`ConfigDict` or dict): The neck config. - bbox_head (:obj:`ConfigDict` or dict): The bbox head config. - train_cfg (:obj:`ConfigDict` or dict, optional): The training config. - test_cfg (:obj:`ConfigDict` or dict, optional): The testing config. - data_preprocessor (:obj:`ConfigDict` or dict, optional): Config of - :class:`DetDataPreprocessor` to process the input data. - Defaults to None. - init_cfg (:obj:`ConfigDict` or list[:obj:`ConfigDict`] or dict or - list[dict], optional): Initialization config dict. - Defaults to None. - """ - - def __init__(self, - backbone: ConfigType, - neck: ConfigType, - rpn_head: ConfigType, - train_cfg: ConfigType, - test_cfg: ConfigType, - data_preprocessor: OptConfigType = None, - init_cfg: OptMultiConfig = None, - **kwargs) -> None: - super(SingleStageDetector, self).__init__( - data_preprocessor=data_preprocessor, init_cfg=init_cfg) - self.backbone = MODELS.build(backbone) - self.neck = MODELS.build(neck) if neck is not None else None - rpn_train_cfg = train_cfg['rpn'] if train_cfg is not None else None - rpn_head_num_classes = rpn_head.get('num_classes', 1) - if rpn_head_num_classes != 1: - warnings.warn('The `num_classes` should be 1 in RPN, but get ' - f'{rpn_head_num_classes}, please set ' - 'rpn_head.num_classes = 1 in your config file.') - rpn_head.update(num_classes=1) - rpn_head.update(train_cfg=rpn_train_cfg) - rpn_head.update(test_cfg=test_cfg['rpn']) - self.bbox_head = MODELS.build(rpn_head) - self.train_cfg = train_cfg - self.test_cfg = test_cfg - - def loss(self, batch_inputs: Tensor, - batch_data_samples: SampleList) -> dict: - """Calculate losses from a batch of inputs and data samples. - - Args: - batch_inputs (Tensor): Input images of shape (N, C, H, W). - These should usually be mean centered and std scaled. - batch_data_samples (list[:obj:`DetDataSample`]): The batch - data samples. It usually includes information such - as `gt_instance` or `gt_panoptic_seg` or `gt_sem_seg`. - - Returns: - dict[str, Tensor]: A dictionary of loss components. - """ - x = self.extract_feat(batch_inputs) - - # set cat_id of gt_labels to 0 in RPN - rpn_data_samples = copy.deepcopy(batch_data_samples) - for data_sample in rpn_data_samples: - data_sample.gt_instances.labels = \ - torch.zeros_like(data_sample.gt_instances.labels) - - losses = self.bbox_head.loss(x, rpn_data_samples) - return losses diff --git a/spaces/KyanChen/RSPrompter/mmpl/models/heads/__init__.py b/spaces/KyanChen/RSPrompter/mmpl/models/heads/__init__.py deleted file mode 100644 index 693f248f8f16e19f662732ab25fa0c1f589e407e..0000000000000000000000000000000000000000 --- a/spaces/KyanChen/RSPrompter/mmpl/models/heads/__init__.py +++ /dev/null @@ -1,8 +0,0 @@ -from .sam_instance_head import SAMInstanceHead -from .semantic_seg_head import BinarySemanticSegHead -from .seg_upfcn_head import UpFCNHead -from .sam_semseg_head import SamSemSegHead - -from .sam_instance_head import SAMAnchorInstanceHead, SAMAnchorPromptRoIHead, SAMPromptMaskHead - -# __all__ = ['MotionGPTHead', 'YOLOv8SIRENSHead'] diff --git a/spaces/LaynzKunz/RVC-Inference-webui-grado-colab-huggingafce/lib/infer_pack/onnx_inference.py b/spaces/LaynzKunz/RVC-Inference-webui-grado-colab-huggingafce/lib/infer_pack/onnx_inference.py deleted file mode 100644 index 6517853be49e61c427cf7cd9b5ed203f6d5f367e..0000000000000000000000000000000000000000 --- a/spaces/LaynzKunz/RVC-Inference-webui-grado-colab-huggingafce/lib/infer_pack/onnx_inference.py +++ /dev/null @@ -1,145 +0,0 @@ -import onnxruntime -import librosa -import numpy as np -import soundfile - - -class ContentVec: - def __init__(self, vec_path="pretrained/vec-768-layer-12.onnx", device=None): - print("load model(s) from {}".format(vec_path)) - if device == "cpu" or device is None: - providers = ["CPUExecutionProvider"] - elif device == "cuda": - providers = ["CUDAExecutionProvider", "CPUExecutionProvider"] - elif device == "dml": - providers = ["DmlExecutionProvider"] - else: - raise RuntimeError("Unsportted Device") - self.model = onnxruntime.InferenceSession(vec_path, providers=providers) - - def __call__(self, wav): - return self.forward(wav) - - def forward(self, wav): - feats = wav - if feats.ndim == 2: # double channels - feats = feats.mean(-1) - assert feats.ndim == 1, feats.ndim - feats = np.expand_dims(np.expand_dims(feats, 0), 0) - onnx_input = {self.model.get_inputs()[0].name: feats} - logits = self.model.run(None, onnx_input)[0] - return logits.transpose(0, 2, 1) - - -def get_f0_predictor(f0_predictor, hop_length, sampling_rate, **kargs): - if f0_predictor == "pm": - from lib.infer_pack.modules.F0Predictor.PMF0Predictor import PMF0Predictor - - f0_predictor_object = PMF0Predictor( - hop_length=hop_length, sampling_rate=sampling_rate - ) - elif f0_predictor == "harvest": - from lib.infer_pack.modules.F0Predictor.HarvestF0Predictor import ( - HarvestF0Predictor, - ) - - f0_predictor_object = HarvestF0Predictor( - hop_length=hop_length, sampling_rate=sampling_rate - ) - elif f0_predictor == "dio": - from lib.infer_pack.modules.F0Predictor.DioF0Predictor import DioF0Predictor - - f0_predictor_object = DioF0Predictor( - hop_length=hop_length, sampling_rate=sampling_rate - ) - else: - raise Exception("Unknown f0 predictor") - return f0_predictor_object - - -class OnnxRVC: - def __init__( - self, - model_path, - sr=40000, - hop_size=512, - vec_path="vec-768-layer-12", - device="cpu", - ): - vec_path = f"pretrained/{vec_path}.onnx" - self.vec_model = ContentVec(vec_path, device) - if device == "cpu" or device is None: - providers = ["CPUExecutionProvider"] - elif device == "cuda": - providers = ["CUDAExecutionProvider", "CPUExecutionProvider"] - elif device == "dml": - providers = ["DmlExecutionProvider"] - else: - raise RuntimeError("Unsportted Device") - self.model = onnxruntime.InferenceSession(model_path, providers=providers) - self.sampling_rate = sr - self.hop_size = hop_size - - def forward(self, hubert, hubert_length, pitch, pitchf, ds, rnd): - onnx_input = { - self.model.get_inputs()[0].name: hubert, - self.model.get_inputs()[1].name: hubert_length, - self.model.get_inputs()[2].name: pitch, - self.model.get_inputs()[3].name: pitchf, - self.model.get_inputs()[4].name: ds, - self.model.get_inputs()[5].name: rnd, - } - return (self.model.run(None, onnx_input)[0] * 32767).astype(np.int16) - - def inference( - self, - raw_path, - sid, - f0_method="dio", - f0_up_key=0, - pad_time=0.5, - cr_threshold=0.02, - ): - f0_min = 50 - f0_max = 1100 - f0_mel_min = 1127 * np.log(1 + f0_min / 700) - f0_mel_max = 1127 * np.log(1 + f0_max / 700) - f0_predictor = get_f0_predictor( - f0_method, - hop_length=self.hop_size, - sampling_rate=self.sampling_rate, - threshold=cr_threshold, - ) - wav, sr = librosa.load(raw_path, sr=self.sampling_rate) - org_length = len(wav) - if org_length / sr > 50.0: - raise RuntimeError("Reached Max Length") - - wav16k = librosa.resample(wav, orig_sr=self.sampling_rate, target_sr=16000) - wav16k = wav16k - - hubert = self.vec_model(wav16k) - hubert = np.repeat(hubert, 2, axis=2).transpose(0, 2, 1).astype(np.float32) - hubert_length = hubert.shape[1] - - pitchf = f0_predictor.compute_f0(wav, hubert_length) - pitchf = pitchf * 2 ** (f0_up_key / 12) - pitch = pitchf.copy() - f0_mel = 1127 * np.log(1 + pitch / 700) - f0_mel[f0_mel > 0] = (f0_mel[f0_mel > 0] - f0_mel_min) * 254 / ( - f0_mel_max - f0_mel_min - ) + 1 - f0_mel[f0_mel <= 1] = 1 - f0_mel[f0_mel > 255] = 255 - pitch = np.rint(f0_mel).astype(np.int64) - - pitchf = pitchf.reshape(1, len(pitchf)).astype(np.float32) - pitch = pitch.reshape(1, len(pitch)) - ds = np.array([sid]).astype(np.int64) - - rnd = np.random.randn(1, 192, hubert_length).astype(np.float32) - hubert_length = np.array([hubert_length]).astype(np.int64) - - out_wav = self.forward(hubert, hubert_length, pitch, pitchf, ds, rnd).squeeze() - out_wav = np.pad(out_wav, (0, 2 * self.hop_size), "constant") - return out_wav[0:org_length] diff --git a/spaces/ML701G7/taim-gan/src/models/modules/acm.py b/spaces/ML701G7/taim-gan/src/models/modules/acm.py deleted file mode 100644 index 9e33110f3cd01ca180cd23f88998e1db4e5b74be..0000000000000000000000000000000000000000 --- a/spaces/ML701G7/taim-gan/src/models/modules/acm.py +++ /dev/null @@ -1,37 +0,0 @@ -"""ACM and its variations""" - -from typing import Any - -import torch -from torch import nn - -from .conv_utils import conv2d - - -class ACM(nn.Module): - """Affine Combination Module from ManiGAN""" - - def __init__(self, img_chans: int, text_chans: int, inner_dim: int = 64) -> None: - """ - Initialize the convolutional layers - - :param int img_chans: Channels in visual input - :param int text_chans: Channels of textual input - :param int inner_dim: Hyperparameters for inner dimensionality of features - """ - super().__init__() - self.conv = conv2d(in_channels=img_chans, out_channels=inner_dim) - self.weights = conv2d(in_channels=inner_dim, out_channels=text_chans) - self.biases = conv2d(in_channels=inner_dim, out_channels=text_chans) - - def forward(self, text: torch.Tensor, img: torch.Tensor) -> Any: - """ - Propagate the textual and visual input through the ACM module - - :param torch.Tensor text: Textual input (can be hidden features) - :param torch.Tensor img: Image input - :return: Affine combination of text and image - :rtype: torch.Tensor - """ - img_features = self.conv(img) - return text * self.weights(img_features) + self.biases(img_features) diff --git a/spaces/ML701G7/taim-gan/src/models/modules/image_encoder.py b/spaces/ML701G7/taim-gan/src/models/modules/image_encoder.py deleted file mode 100644 index 7b315f428adec23c832f80efb6b838a4f7808bb3..0000000000000000000000000000000000000000 --- a/spaces/ML701G7/taim-gan/src/models/modules/image_encoder.py +++ /dev/null @@ -1,138 +0,0 @@ -"""Image Encoder Module""" -from typing import Any - -import torch -from torch import nn - -from src.models.modules.conv_utils import conv2d - -# build inception v3 image encoder - - -class InceptionEncoder(nn.Module): - """Image Encoder Module adapted from AttnGAN""" - - def __init__(self, D: int): - """ - :param D: Dimension of the text embedding space [D from AttnGAN paper] - """ - super().__init__() - - self.text_emb_dim = D - - model = torch.hub.load( - "pytorch/vision:v0.10.0", "inception_v3", pretrained=True - ) - for param in model.parameters(): - param.requires_grad = False - - self.define_module(model) - self.init_trainable_weights() - - def define_module(self, model: nn.Module) -> None: - """ - This function defines the modules of the image encoder - :param model: Pretrained Inception V3 model - """ - model.cust_upsample = nn.Upsample(size=(299, 299), mode="bilinear") - model.cust_maxpool1 = nn.MaxPool2d(kernel_size=3, stride=2) - model.cust_maxpool2 = nn.MaxPool2d(kernel_size=3, stride=2) - model.cust_avgpool = nn.AvgPool2d(kernel_size=8) - - attribute_list = [ - "cust_upsample", - "Conv2d_1a_3x3", - "Conv2d_2a_3x3", - "Conv2d_2b_3x3", - "cust_maxpool1", - "Conv2d_3b_1x1", - "Conv2d_4a_3x3", - "cust_maxpool2", - "Mixed_5b", - "Mixed_5c", - "Mixed_5d", - "Mixed_6a", - "Mixed_6b", - "Mixed_6c", - "Mixed_6d", - "Mixed_6e", - ] - - self.feature_extractor = nn.Sequential( - *[getattr(model, name) for name in attribute_list] - ) - - attribute_list2 = ["Mixed_7a", "Mixed_7b", "Mixed_7c", "cust_avgpool"] - - self.feature_extractor2 = nn.Sequential( - *[getattr(model, name) for name in attribute_list2] - ) - - self.emb_features = conv2d( - 768, self.text_emb_dim, kernel_size=1, stride=1, padding=0 - ) - self.emb_cnn_code = nn.Linear(2048, self.text_emb_dim) - - def init_trainable_weights(self) -> None: - """ - This function initializes the trainable weights of the image encoder - """ - initrange = 0.1 - self.emb_features.weight.data.uniform_(-initrange, initrange) - self.emb_cnn_code.weight.data.uniform_(-initrange, initrange) - - def forward(self, image_tensor: torch.Tensor) -> Any: - """ - :param image_tensor: Input image - :return: features: local feature matrix (v from attnGAN paper) [shape: (batch, D, 17, 17)] - :return: cnn_code: global image feature (v^ from attnGAN paper) [shape: (batch, D)] - """ - # this is the image size - # x.shape: 10 3 256 256 - - features = self.feature_extractor(image_tensor) - # 17 x 17 x 768 - - image_tensor = self.feature_extractor2(features) - - image_tensor = image_tensor.view(image_tensor.size(0), -1) - # 2048 - - # global image features - cnn_code = self.emb_cnn_code(image_tensor) - - if features is not None: - features = self.emb_features(features) - - # feature.shape: 10 256 17 17 - # cnn_code.shape: 10 256 - return features, cnn_code - - -class VGGEncoder(nn.Module): - """Pre Trained VGG Encoder Module""" - - def __init__(self) -> None: - """ - Initialize pre-trained VGG model with frozen parameters - """ - super().__init__() - self.select = "8" ## We want to get the output of the 8th layer in VGG. - - self.model = torch.hub.load("pytorch/vision:v0.10.0", "vgg16", pretrained=True) - - for param in self.model.parameters(): - param.resquires_grad = False - - self.vgg_modules = self.model.features._modules - - def forward(self, image_tensor: torch.Tensor) -> Any: - """ - :param x: Input image tensor [shape: (batch, 3, 256, 256)] - :return: VGG features [shape: (batch, 128, 128, 128)] - """ - for name, layer in self.vgg_modules.items(): - image_tensor = layer(image_tensor) - if name == self.select: - return image_tensor - return None diff --git a/spaces/Make-A-Protagonist/Make-A-Protagonist-inference/Make-A-Protagonist/experts/XMem/inference/interact/fbrs/inference/transforms/limit_longest_side.py b/spaces/Make-A-Protagonist/Make-A-Protagonist-inference/Make-A-Protagonist/experts/XMem/inference/interact/fbrs/inference/transforms/limit_longest_side.py deleted file mode 100644 index 50c5a53d2670df52285621dc0d33e86df520d77c..0000000000000000000000000000000000000000 --- a/spaces/Make-A-Protagonist/Make-A-Protagonist-inference/Make-A-Protagonist/experts/XMem/inference/interact/fbrs/inference/transforms/limit_longest_side.py +++ /dev/null @@ -1,22 +0,0 @@ -from .zoom_in import ZoomIn, get_roi_image_nd - - -class LimitLongestSide(ZoomIn): - def __init__(self, max_size=800): - super().__init__(target_size=max_size, skip_clicks=0) - - def transform(self, image_nd, clicks_lists): - assert image_nd.shape[0] == 1 and len(clicks_lists) == 1 - image_max_size = max(image_nd.shape[2:4]) - self.image_changed = False - - if image_max_size <= self.target_size: - return image_nd, clicks_lists - self._input_image = image_nd - - self._object_roi = (0, image_nd.shape[2] - 1, 0, image_nd.shape[3] - 1) - self._roi_image = get_roi_image_nd(image_nd, self._object_roi, self.target_size) - self.image_changed = True - - tclicks_lists = [self._transform_clicks(clicks_lists[0])] - return self._roi_image, tclicks_lists diff --git a/spaces/Mellow-ai/PhotoAI_Mellow/annotator/uniformer/configs/_base_/models/fcn_r50-d8.py b/spaces/Mellow-ai/PhotoAI_Mellow/annotator/uniformer/configs/_base_/models/fcn_r50-d8.py deleted file mode 100644 index 5e98f6cc918b6146fc6d613c6918e825ef1355c3..0000000000000000000000000000000000000000 --- a/spaces/Mellow-ai/PhotoAI_Mellow/annotator/uniformer/configs/_base_/models/fcn_r50-d8.py +++ /dev/null @@ -1,45 +0,0 @@ -# model settings -norm_cfg = dict(type='SyncBN', requires_grad=True) -model = dict( - type='EncoderDecoder', - pretrained='open-mmlab://resnet50_v1c', - backbone=dict( - type='ResNetV1c', - depth=50, - num_stages=4, - out_indices=(0, 1, 2, 3), - dilations=(1, 1, 2, 4), - strides=(1, 2, 1, 1), - norm_cfg=norm_cfg, - norm_eval=False, - style='pytorch', - contract_dilation=True), - decode_head=dict( - type='FCNHead', - in_channels=2048, - in_index=3, - channels=512, - num_convs=2, - concat_input=True, - dropout_ratio=0.1, - num_classes=19, - norm_cfg=norm_cfg, - align_corners=False, - loss_decode=dict( - type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), - auxiliary_head=dict( - type='FCNHead', - in_channels=1024, - in_index=2, - channels=256, - num_convs=1, - concat_input=False, - dropout_ratio=0.1, - num_classes=19, - norm_cfg=norm_cfg, - align_corners=False, - loss_decode=dict( - type='CrossEntropyLoss', use_sigmoid=False, loss_weight=0.4)), - # model training and testing settings - train_cfg=dict(), - test_cfg=dict(mode='whole')) diff --git a/spaces/MisterZee/PIFu-Clothed-Human-Digitization/PIFu/lib/colab_util.py b/spaces/MisterZee/PIFu-Clothed-Human-Digitization/PIFu/lib/colab_util.py deleted file mode 100644 index 608227b228647e7b1bc16676fadf22d68e381f57..0000000000000000000000000000000000000000 --- a/spaces/MisterZee/PIFu-Clothed-Human-Digitization/PIFu/lib/colab_util.py +++ /dev/null @@ -1,114 +0,0 @@ -import io -import os -import torch -from skimage.io import imread -import numpy as np -import cv2 -from tqdm import tqdm_notebook as tqdm -import base64 -from IPython.display import HTML - -# Util function for loading meshes -from pytorch3d.io import load_objs_as_meshes - -from IPython.display import HTML -from base64 import b64encode - -# Data structures and functions for rendering -from pytorch3d.structures import Meshes -from pytorch3d.renderer import ( - look_at_view_transform, - OpenGLOrthographicCameras, - PointLights, - DirectionalLights, - Materials, - RasterizationSettings, - MeshRenderer, - MeshRasterizer, - SoftPhongShader, - HardPhongShader, - TexturesVertex -) - -def set_renderer(): - # Setup - device = torch.device("cuda:0") - torch.cuda.set_device(device) - - # Initialize an OpenGL perspective camera. - R, T = look_at_view_transform(2.0, 0, 180) - cameras = OpenGLOrthographicCameras(device=device, R=R, T=T) - - raster_settings = RasterizationSettings( - image_size=512, - blur_radius=0.0, - faces_per_pixel=1, - bin_size = None, - max_faces_per_bin = None - ) - - lights = PointLights(device=device, location=((2.0, 2.0, 2.0),)) - - renderer = MeshRenderer( - rasterizer=MeshRasterizer( - cameras=cameras, - raster_settings=raster_settings - ), - shader=HardPhongShader( - device=device, - cameras=cameras, - lights=lights - ) - ) - return renderer - -def get_verts_rgb_colors(obj_path): - rgb_colors = [] - - f = open(obj_path) - lines = f.readlines() - for line in lines: - ls = line.split(' ') - if len(ls) == 7: - rgb_colors.append(ls[-3:]) - - return np.array(rgb_colors, dtype='float32')[None, :, :] - -def generate_video_from_obj(obj_path, video_path, renderer): - # Setup - device = torch.device("cuda:0") - torch.cuda.set_device(device) - - # Load obj file - verts_rgb_colors = get_verts_rgb_colors(obj_path) - verts_rgb_colors = torch.from_numpy(verts_rgb_colors).to(device) - textures = TexturesVertex(verts_features=verts_rgb_colors) - wo_textures = TexturesVertex(verts_features=torch.ones_like(verts_rgb_colors)*0.75) - - # Load obj - mesh = load_objs_as_meshes([obj_path], device=device) - - # Set mesh - vers = mesh._verts_list - faces = mesh._faces_list - mesh_w_tex = Meshes(vers, faces, textures) - mesh_wo_tex = Meshes(vers, faces, wo_textures) - - # create VideoWriter - fourcc = cv2. VideoWriter_fourcc(*'MP4V') - out = cv2.VideoWriter(video_path, fourcc, 20.0, (1024,512)) - - for i in tqdm(range(90)): - R, T = look_at_view_transform(1.8, 0, i*4, device=device) - images_w_tex = renderer(mesh_w_tex, R=R, T=T) - images_w_tex = np.clip(images_w_tex[0, ..., :3].cpu().numpy(), 0.0, 1.0)[:, :, ::-1] * 255 - images_wo_tex = renderer(mesh_wo_tex, R=R, T=T) - images_wo_tex = np.clip(images_wo_tex[0, ..., :3].cpu().numpy(), 0.0, 1.0)[:, :, ::-1] * 255 - image = np.concatenate([images_w_tex, images_wo_tex], axis=1) - out.write(image.astype('uint8')) - out.release() - -def video(path): - mp4 = open(path,'rb').read() - data_url = "data:video/mp4;base64," + b64encode(mp4).decode() - return HTML('' % data_url) diff --git a/spaces/NCTCMumbai/NCTC/models/official/modeling/tf_utils.py b/spaces/NCTCMumbai/NCTC/models/official/modeling/tf_utils.py deleted file mode 100644 index 279208239349e143ed59d9c6d5dbc418d25fe0fa..0000000000000000000000000000000000000000 --- a/spaces/NCTCMumbai/NCTC/models/official/modeling/tf_utils.py +++ /dev/null @@ -1,190 +0,0 @@ -# Copyright 2019 The TensorFlow Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# ============================================================================== -"""Common TF utilities.""" - -from __future__ import absolute_import -from __future__ import division -from __future__ import print_function - -import six -import tensorflow as tf - -from tensorflow.python.util import deprecation -from official.modeling import activations - - -@deprecation.deprecated( - None, - "tf.keras.layers.Layer supports multiple positional args and kwargs as " - "input tensors. pack/unpack inputs to override __call__ is no longer " - "needed." -) -def pack_inputs(inputs): - """Pack a list of `inputs` tensors to a tuple. - - Args: - inputs: a list of tensors. - - Returns: - a tuple of tensors. if any input is None, replace it with a special constant - tensor. - """ - inputs = tf.nest.flatten(inputs) - outputs = [] - for x in inputs: - if x is None: - outputs.append(tf.constant(0, shape=[], dtype=tf.int32)) - else: - outputs.append(x) - return tuple(outputs) - - -@deprecation.deprecated( - None, - "tf.keras.layers.Layer supports multiple positional args and kwargs as " - "input tensors. pack/unpack inputs to override __call__ is no longer " - "needed." -) -def unpack_inputs(inputs): - """unpack a tuple of `inputs` tensors to a tuple. - - Args: - inputs: a list of tensors. - - Returns: - a tuple of tensors. if any input is a special constant tensor, replace it - with None. - """ - inputs = tf.nest.flatten(inputs) - outputs = [] - for x in inputs: - if is_special_none_tensor(x): - outputs.append(None) - else: - outputs.append(x) - x = tuple(outputs) - - # To trick the very pointless 'unbalanced-tuple-unpacking' pylint check - # from triggering. - if len(x) == 1: - return x[0] - return tuple(outputs) - - -def is_special_none_tensor(tensor): - """Checks if a tensor is a special None Tensor.""" - return tensor.shape.ndims == 0 and tensor.dtype == tf.int32 - - -# TODO(hongkuny): consider moving custom string-map lookup to keras api. -def get_activation(identifier): - """Maps a identifier to a Python function, e.g., "relu" => `tf.nn.relu`. - - It checks string first and if it is one of customized activation not in TF, - the corresponding activation will be returned. For non-customized activation - names and callable identifiers, always fallback to tf.keras.activations.get. - - Args: - identifier: String name of the activation function or callable. - - Returns: - A Python function corresponding to the activation function. - """ - if isinstance(identifier, six.string_types): - name_to_fn = { - "gelu": activations.gelu, - "simple_swish": activations.simple_swish, - "hard_swish": activations.hard_swish, - "identity": activations.identity, - } - identifier = str(identifier).lower() - if identifier in name_to_fn: - return tf.keras.activations.get(name_to_fn[identifier]) - return tf.keras.activations.get(identifier) - - -def get_shape_list(tensor, expected_rank=None, name=None): - """Returns a list of the shape of tensor, preferring static dimensions. - - Args: - tensor: A tf.Tensor object to find the shape of. - expected_rank: (optional) int. The expected rank of `tensor`. If this is - specified and the `tensor` has a different rank, and exception will be - thrown. - name: Optional name of the tensor for the error message. - - Returns: - A list of dimensions of the shape of tensor. All static dimensions will - be returned as python integers, and dynamic dimensions will be returned - as tf.Tensor scalars. - """ - if expected_rank is not None: - assert_rank(tensor, expected_rank, name) - - shape = tensor.shape.as_list() - - non_static_indexes = [] - for (index, dim) in enumerate(shape): - if dim is None: - non_static_indexes.append(index) - - if not non_static_indexes: - return shape - - dyn_shape = tf.shape(tensor) - for index in non_static_indexes: - shape[index] = dyn_shape[index] - return shape - - -def assert_rank(tensor, expected_rank, name=None): - """Raises an exception if the tensor rank is not of the expected rank. - - Args: - tensor: A tf.Tensor to check the rank of. - expected_rank: Python integer or list of integers, expected rank. - name: Optional name of the tensor for the error message. - - Raises: - ValueError: If the expected shape doesn't match the actual shape. - """ - expected_rank_dict = {} - if isinstance(expected_rank, six.integer_types): - expected_rank_dict[expected_rank] = True - else: - for x in expected_rank: - expected_rank_dict[x] = True - - actual_rank = tensor.shape.ndims - if actual_rank not in expected_rank_dict: - raise ValueError( - "For the tensor `%s`, the actual tensor rank `%d` (shape = %s) is not " - "equal to the expected tensor rank `%s`" % - (name, actual_rank, str(tensor.shape), str(expected_rank))) - - -def safe_mean(losses): - """Computes a safe mean of the losses. - - Args: - losses: `Tensor` whose elements contain individual loss measurements. - - Returns: - A scalar representing the mean of `losses`. If `num_present` is zero, - then zero is returned. - """ - total = tf.reduce_sum(losses) - num_elements = tf.cast(tf.size(losses), dtype=losses.dtype) - return tf.math.divide_no_nan(total, num_elements) diff --git a/spaces/NCTCMumbai/NCTC/models/official/vision/__init__.py b/spaces/NCTCMumbai/NCTC/models/official/vision/__init__.py deleted file mode 100644 index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000 diff --git a/spaces/NCTCMumbai/NCTC/models/research/cognitive_mapping_and_planning/patches/apply_patches.sh b/spaces/NCTCMumbai/NCTC/models/research/cognitive_mapping_and_planning/patches/apply_patches.sh deleted file mode 100644 index 4a786058258decdfb381eff25684183d92788ebe..0000000000000000000000000000000000000000 --- a/spaces/NCTCMumbai/NCTC/models/research/cognitive_mapping_and_planning/patches/apply_patches.sh +++ /dev/null @@ -1,18 +0,0 @@ -# Copyright 2016 The TensorFlow Authors All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# ============================================================================== - -echo $VIRTUAL_ENV -patch $VIRTUAL_ENV/local/lib/python2.7/site-packages/OpenGL/GLES2/VERSION/GLES2_2_0.py patches/GLES2_2_0.py.patch -patch $VIRTUAL_ENV/local/lib/python2.7/site-packages/OpenGL/platform/ctypesloader.py patches/ctypesloader.py.patch diff --git a/spaces/NebulaVortex/falcon-chat/app.py b/spaces/NebulaVortex/falcon-chat/app.py deleted file mode 100644 index 7d496eb4f9707a897f8035930856a0efa3bb18c9..0000000000000000000000000000000000000000 --- a/spaces/NebulaVortex/falcon-chat/app.py +++ /dev/null @@ -1,215 +0,0 @@ -import argparse -import os - -import gradio as gr -from text_generation import Client - -TITLE = """

🚀 Falcon-Chat demo

""" -USER_NAME = "User" -BOT_NAME = "Falcon" -DEFAULT_INSTRUCTIONS = f"""The following is a conversation between a highly knowledgeable and intelligent AI assistant, called Falcon, and a human user, called User. In the following interactions, User and Falcon will converse in natural language, and Falcon will answer User's questions. Falcon was built to be respectful, polite and inclusive. Falcon was built by the Technology Innovation Institute in Abu Dhabi. Falcon will never decline to answer a question, and always attempts to give an answer that User would be satisfied with. It knows a lot, and always tells the truth. The conversation begins. -""" -RETRY_COMMAND = "/retry" -STOP_STR = f"\n{USER_NAME}:" -STOP_SUSPECT_LIST = [":", "\n", "User"] - -INFERENCE_ENDPOINT = os.environ.get("INFERENCE_ENDPOINT") -INFERENCE_AUTH = os.environ.get("INFERENCE_AUTH") - - -def chat_accordion(): - with gr.Accordion("Parameters", open=False): - temperature = gr.Slider( - minimum=0.1, - maximum=2.0, - value=0.8, - step=0.1, - interactive=True, - label="Temperature", - ) - top_p = gr.Slider( - minimum=0.1, - maximum=0.99, - value=0.9, - step=0.01, - interactive=True, - label="p (nucleus sampling)", - ) - return temperature, top_p - - -def format_chat_prompt(message: str, chat_history, instructions: str) -> str: - instructions = instructions.strip(" ").strip("\n") - prompt = instructions - for turn in chat_history: - user_message, bot_message = turn - prompt = f"{prompt}\n{USER_NAME}: {user_message}\n{BOT_NAME}: {bot_message}" - prompt = f"{prompt}\n{USER_NAME}: {message}\n{BOT_NAME}:" - return prompt - - -def chat(client: Client): - with gr.Column(elem_id="chat_container"): - with gr.Row(): - chatbot = gr.Chatbot(elem_id="chatbot") - with gr.Row(): - inputs = gr.Textbox( - placeholder=f"Hello {BOT_NAME} !!", - label="Type an input and press Enter", - max_lines=3, - ) - - with gr.Row(elem_id="button_container"): - with gr.Column(): - retry_button = gr.Button("♻️ Retry last turn") - with gr.Column(): - delete_turn_button = gr.Button("🧽 Delete last turn") - with gr.Column(): - clear_chat_button = gr.Button("✨ Delete all history") - - gr.Examples( - [ - ["Hey Falcon! Any recommendations for my holidays in Abu Dhabi?"], - ["What's the Everett interpretation of quantum mechanics?"], - ["Give me a list of the top 10 dive sites you would recommend around the world."], - ["Can you tell me more about deep-water soloing?"], - ["Can you write a short tweet about the Apache 2.0 release of our latest AI model, Falcon LLM?"], - ], - inputs=inputs, - label="Click on any example and press Enter in the input textbox!", - ) - - with gr.Row(elem_id="param_container"): - with gr.Column(): - temperature, top_p = chat_accordion() - with gr.Column(): - with gr.Accordion("Instructions", open=False): - instructions = gr.Textbox( - placeholder="LLM instructions", - value=DEFAULT_INSTRUCTIONS, - lines=10, - interactive=True, - label="Instructions", - max_lines=16, - show_label=False, - ) - - def run_chat(message: str, chat_history, instructions: str, temperature: float, top_p: float): - if not message or (message == RETRY_COMMAND and len(chat_history) == 0): - yield chat_history - return - - if message == RETRY_COMMAND and chat_history: - prev_turn = chat_history.pop(-1) - user_message, _ = prev_turn - message = user_message - - prompt = format_chat_prompt(message, chat_history, instructions) - chat_history = chat_history + [[message, ""]] - stream = client.generate_stream( - prompt, - do_sample=True, - max_new_tokens=1024, - stop_sequences=[STOP_STR, "<|endoftext|>"], - temperature=temperature, - top_p=top_p, - ) - acc_text = "" - for idx, response in enumerate(stream): - text_token = response.token.text - - if response.details: - return - - if text_token in STOP_SUSPECT_LIST: - acc_text += text_token - continue - - if idx == 0 and text_token.startswith(" "): - text_token = text_token[1:] - - acc_text += text_token - last_turn = list(chat_history.pop(-1)) - last_turn[-1] += acc_text - chat_history = chat_history + [last_turn] - yield chat_history - acc_text = "" - - def delete_last_turn(chat_history): - if chat_history: - chat_history.pop(-1) - return {chatbot: gr.update(value=chat_history)} - - def run_retry(message: str, chat_history, instructions: str, temperature: float, top_p: float): - yield from run_chat(RETRY_COMMAND, chat_history, instructions, temperature, top_p) - - def clear_chat(): - return [] - - inputs.submit( - run_chat, - [inputs, chatbot, instructions, temperature, top_p], - outputs=[chatbot], - show_progress=False, - ) - inputs.submit(lambda: "", inputs=None, outputs=inputs) - delete_turn_button.click(delete_last_turn, inputs=[chatbot], outputs=[chatbot]) - retry_button.click( - run_retry, - [inputs, chatbot, instructions, temperature, top_p], - outputs=[chatbot], - show_progress=False, - ) - clear_chat_button.click(clear_chat, [], chatbot) - - -def get_demo(client: Client): - with gr.Blocks( - # css=None - # css="""#chat_container {width: 700px; margin-left: auto; margin-right: auto;} - # #button_container {width: 700px; margin-left: auto; margin-right: auto;} - # #param_container {width: 700px; margin-left: auto; margin-right: auto;}""" - css="""#chatbot { - font-size: 14px; - min-height: 300px; -}""" - ) as demo: - gr.HTML(TITLE) - - with gr.Row(): - with gr.Column(): - gr.Image("home-banner.jpg", elem_id="banner-image", show_label=False) - with gr.Column(): - gr.Markdown( - """**Chat with [Falcon-40B-Instruct](https://huggingface.co/tiiuae/falcon-40b-instruct), brainstorm ideas, discuss your holiday plans, and more!** - - ✨ This demo is powered by [Falcon-40B](https://huggingface.co/tiiuae/falcon-40b), finetuned on the [Baize](https://github.com/project-baize/baize-chatbot) dataset, and running with [Text Generation Inference](https://github.com/huggingface/text-generation-inference). [Falcon-40B](https://huggingface.co/tiiuae/falcon-40b) is a state-of-the-art large language model built by the [Technology Innovation Institute](https://www.tii.ae) in Abu Dhabi. It is trained on 1 trillion tokens (including [RefinedWeb](https://huggingface.co/datasets/tiiuae/falcon-refinedweb)) and available under the Apache 2.0 license. It currently holds the 🥇 1st place on the [🤗 Open LLM leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). This demo is made available by the [HuggingFace H4 team](https://huggingface.co/HuggingFaceH4). - - 🧪 This is only a **first experimental preview**: the [H4 team](https://huggingface.co/HuggingFaceH4) intends to provide increasingly capable versions of Falcon Chat in the future, based on improved datasets and RLHF/RLAIF. - - 👀 **Learn more about Falcon LLM:** [falconllm.tii.ae](https://falconllm.tii.ae/) - - ➡️️ **Intended Use**: this demo is intended to showcase an early finetuning of [Falcon-40B](https://huggingface.co/tiiuae/falcon-40b), to illustrate the impact (and limitations) of finetuning on a dataset of conversations and instructions. We encourage the community to further build upon the base model, and to create even better instruct/chat versions! - - ⚠️ **Limitations**: the model can and will produce factually incorrect information, hallucinating facts and actions. As it has not undergone any advanced tuning/alignment, it can produce problematic outputs, especially if prompted to do so. Finally, this demo is limited to a session length of about 1,000 words. - """ - ) - - chat(client) - - return demo - - -if __name__ == "__main__": - parser = argparse.ArgumentParser("Playground Demo") - parser.add_argument( - "--addr", - type=str, - required=False, - default=INFERENCE_ENDPOINT, - ) - args = parser.parse_args() - client = Client(args.addr, headers={"Authorization": f"Basic {INFERENCE_AUTH}"}) - demo = get_demo(client) - demo.queue(max_size=128, concurrency_count=16) - demo.launch() diff --git a/spaces/Nee001/bing0/src/components/chat-suggestions.tsx b/spaces/Nee001/bing0/src/components/chat-suggestions.tsx deleted file mode 100644 index 48aec7c84e4407c482acdfcc7857fb0f660d12d3..0000000000000000000000000000000000000000 --- a/spaces/Nee001/bing0/src/components/chat-suggestions.tsx +++ /dev/null @@ -1,45 +0,0 @@ -import React, { useMemo } from 'react' -import Image from 'next/image' -import HelpIcon from '@/assets/images/help.svg' -import { SuggestedResponse } from '@/lib/bots/bing/types' -import { useBing } from '@/lib/hooks/use-bing' -import { atom, useAtom } from 'jotai' - -type Suggestions = SuggestedResponse[] -const helpSuggestions = ['为什么不回应某些主题', '告诉我更多关于必应的资迅', '必应如何使用 AI?'].map((text) => ({ text })) -const suggestionsAtom = atom([]) - -type ChatSuggestionsProps = React.ComponentProps<'div'> & Pick, 'setInput'> & { suggestions?: Suggestions } - -export function ChatSuggestions({ setInput, suggestions = [] }: ChatSuggestionsProps) { - const [currentSuggestions, setSuggestions] = useAtom(suggestionsAtom) - const toggleSuggestions = (() => { - if (currentSuggestions === helpSuggestions) { - setSuggestions(suggestions) - } else { - setSuggestions(helpSuggestions) - } - }) - - useMemo(() => { - setSuggestions(suggestions) - window.scrollBy(0, 2000) - }, [suggestions.length, setSuggestions]) - - return currentSuggestions?.length ? ( -
-
- - { - currentSuggestions.map(suggestion => ( - - )) - } -
-
- ) : null -} diff --git a/spaces/Nixtla/transfer-learning-time-series/src/st_deploy.py b/spaces/Nixtla/transfer-learning-time-series/src/st_deploy.py deleted file mode 100644 index 0aff62a975c569e663ff17317b8a803131bcff84..0000000000000000000000000000000000000000 --- a/spaces/Nixtla/transfer-learning-time-series/src/st_deploy.py +++ /dev/null @@ -1,16 +0,0 @@ -import os -import sys - -from streamlit.web import cli - -if __name__ == "__main__": - sys.argv = [ - "streamlit", - "run", - f"{os.path.dirname(os.path.realpath(__file__))}/st_app.py", - "--server.port=8501", - "--server.address=0.0.0.0", - "--server.baseUrlPath=transfer-learning", - "--logger.level=debug", - ] - sys.exit(cli.main()) diff --git a/spaces/Norod78/Hebrew-GPT-Neo-Small/app.py b/spaces/Norod78/Hebrew-GPT-Neo-Small/app.py deleted file mode 100644 index 83f7fa8d1f54a14db80d166bb1109cd21796d326..0000000000000000000000000000000000000000 --- a/spaces/Norod78/Hebrew-GPT-Neo-Small/app.py +++ /dev/null @@ -1,127 +0,0 @@ -# -*- coding: utf-8 -*- - -import argparse -import re -import os - -import streamlit as st -import random -import numpy as np -import torch -from transformers import AutoTokenizer, AutoModelForCausalLM -import tokenizers - -os.environ["TOKENIZERS_PARALLELISM"] = "false" - -random.seed(None) -suggested_text_list = ['פעם אחת, לפני שנים רבות','שלום, קוראים לי דורון ואני','בוקר טוב לכולם','ואז הפרתי את כל כללי הטקס כש'] - -@st.cache_resource -def load_model(model_name): - tokenizer = AutoTokenizer.from_pretrained(model_name) - model = AutoModelForCausalLM.from_pretrained(model_name) - return model, tokenizer - -def extend(input_text, max_size=20, top_k=50, top_p=0.95): - if len(input_text) == 0: - input_text = "" - - encoded_prompt = tokenizer.encode( - input_text, add_special_tokens=False, return_tensors="pt") - - encoded_prompt = encoded_prompt.to(device) - - if encoded_prompt.size()[-1] == 0: - input_ids = None - else: - input_ids = encoded_prompt - - output_sequences = model.generate( - input_ids=input_ids, - max_length=max_size + len(encoded_prompt[0]), - top_k=top_k, - top_p=top_p, - do_sample=True, - repetition_penalty=2.5, - num_return_sequences=1) - - # Remove the batch dimension when returning multiple sequences - if len(output_sequences.shape) > 2: - output_sequences.squeeze_() - - generated_sequences = [] - - for generated_sequence_idx, generated_sequence in enumerate(output_sequences): - generated_sequence = generated_sequence.tolist() - - # Decode text - text = tokenizer.decode(generated_sequence, clean_up_tokenization_spaces=True) - - # Remove all text after the stop token - text = text[: text.find(stop_token) if stop_token else None] - - # Remove all text after 3 newlines - text = text[: text.find(new_lines) if new_lines else None] - - # Add the prompt at the beginning of the sequence. Remove the excess text that was used for pre-processing - total_sequence = ( - input_text + text[len(tokenizer.decode(encoded_prompt[0], clean_up_tokenization_spaces=True)) :] - ) - - generated_sequences.append(total_sequence) - - parsed_text = total_sequence.replace("<|startoftext|>", "").replace("\r","").replace("\n\n", "\n") - if len(parsed_text) == 0: - parsed_text = "שגיאה" - return parsed_text - -if __name__ == "__main__": - st.title("Hebrew GPT Neo (Small)") - pre_model_path = "Norod78/hebrew-gpt_neo-small" - model, tokenizer = load_model(pre_model_path) - - stop_token = "<|endoftext|>" - new_lines = "\n\n\n" - - np.random.seed(None) - random_seed = np.random.randint(10000,size=1) - - device = torch.device("cuda" if torch.cuda.is_available() else "cpu") - n_gpu = 0 if torch.cuda.is_available()==False else torch.cuda.device_count() - - torch.manual_seed(random_seed) - if n_gpu > 0: - torch.cuda.manual_seed_all(random_seed) - - model.to(device) - - text_area = st.text_area("Enter the first few words (or leave blank), tap on \"Generate Text\" below. Tapping again will produce a different result.", 'האיש האחרון בעולם ישב לבד בחדרו כשלפתע נשמעה נקישה') - - st.sidebar.subheader("Configurable parameters") - - max_len = st.sidebar.slider("Max-Length", 0, 192, 96,help="The maximum length of the sequence to be generated.") - top_k = st.sidebar.slider("Top-K", 0, 100, 40, help="The number of highest probability vocabulary tokens to keep for top-k-filtering.") - top_p = st.sidebar.slider("Top-P", 0.0, 1.0, 0.92, help="If set to float < 1, only the most probable tokens with probabilities that add up to top_p or higher are kept for generation.") - - if st.button("Generate Text"): - with st.spinner(text="Generating results..."): - st.subheader("Result") - print(f"device:{device}, n_gpu:{n_gpu}, random_seed:{random_seed}, maxlen:{max_len}, top_k:{top_k}, top_p:{top_p}") - if len(text_area.strip()) == 0: - text_area = random.choice(suggested_text_list) - result = extend(input_text=text_area, - max_size=int(max_len), - top_k=int(top_k), - top_p=float(top_p)) - - print("Done length: " + str(len(result)) + " bytes") - #
- st.markdown(f"

{result}

", unsafe_allow_html=True) - st.write("\n\nResult length: " + str(len(result)) + " bytes") - print(f"\"{result}\"") - - st.markdown( - """Hebrew text generation model (125M parameters) based on EleutherAI's gpt-neo architecture. Originally trained on a TPUv3-8 which was made avilable to me via the [TPU Research Cloud Program](https://sites.research.google/trc/).""" - ) - - st.markdown(" ", unsafe_allow_html=True) \ No newline at end of file diff --git a/spaces/OFA-Sys/OFA-Generic_Interface/fairseq/examples/wav2vec/unsupervised/kaldi_self_train/st/decode_phone.sh b/spaces/OFA-Sys/OFA-Generic_Interface/fairseq/examples/wav2vec/unsupervised/kaldi_self_train/st/decode_phone.sh deleted file mode 100644 index 947342a0b7d8f50bcf4164b284ef3303a1247b64..0000000000000000000000000000000000000000 --- a/spaces/OFA-Sys/OFA-Generic_Interface/fairseq/examples/wav2vec/unsupervised/kaldi_self_train/st/decode_phone.sh +++ /dev/null @@ -1,33 +0,0 @@ -#!/bin/bash - -# decode into phones (and prepare a new data directory for HMM outputs) - -. ./path.sh - -set -eu - -out_dir= # same as in train.sh -dec_lmparam= # LM hyperparameters (e.g., 7.0.0) -dec_exp= -dec_script= -dec_splits="train valid" -dec_data_dir=$out_dir/dec_data # where to write HMM output - -data_dir=${out_dir}/data - -local/decode.sh --nj 40 --graph_name graph \ - --val_sets "$dec_splits" --decode_script $dec_script \ - $out_dir/exp/$dec_exp $data_dir $data_dir/lang_test - -if [ ! -z $dec_lmparam ]; then - for x in $dec_splits; do - mkdir -p $dec_data_dir/$x - cp $data_dir/$x/{feats.scp,cmvn.scp,utt2spk,spk2utt} $dec_data_dir/$x/ - - tra=$out_dir/exp/$dec_exp/decode_${x}/scoring/${dec_lmparam}.tra - cat $tra | utils/int2sym.pl -f 2- $data_dir/lang/words.txt | \ - sed 's:::g' | sed 's:::g' > $dec_data_dir/${x}/text - utils/fix_data_dir.sh $dec_data_dir/${x} - echo "WER on ${x} is" $(compute-wer ark:$data_dir/${x}_gt/text ark:$dec_data_dir/$x/text | cut -d" " -f2-) - done -fi diff --git a/spaces/OFA-Sys/OFA-Generic_Interface/fairseq/examples/wav2vec/unsupervised/tasks/unpaired_audio_text.py b/spaces/OFA-Sys/OFA-Generic_Interface/fairseq/examples/wav2vec/unsupervised/tasks/unpaired_audio_text.py deleted file mode 100644 index 5f292528f80d6bb51f16a4324d97342d28fce942..0000000000000000000000000000000000000000 --- a/spaces/OFA-Sys/OFA-Generic_Interface/fairseq/examples/wav2vec/unsupervised/tasks/unpaired_audio_text.py +++ /dev/null @@ -1,447 +0,0 @@ -# Copyright (c) 2017-present, Facebook, Inc. -# All rights reserved. -# -# This source code is licensed under the license found in the LICENSE file in -# the root directory of this source tree. An additional grant of patent rights -# can be found in the PATENTS file in the same directory. - -from dataclasses import dataclass, field -import logging -import math -import os -from typing import Optional -import torch - -from fairseq.logging import metrics -from fairseq.tasks import FairseqTask, register_task -from ..data import ExtractedFeaturesDataset, RandomInputDataset - -from fairseq.data import ( - Dictionary, - data_utils, - StripTokenDataset, -) -from fairseq.dataclass import FairseqDataclass -from fairseq.distributed.utils import get_data_parallel_world_size -from omegaconf import MISSING - -from examples.speech_recognition.kaldi.kaldi_decoder import ( - KaldiDecoder, - KaldiDecoderConfig, -) - - -logger = logging.getLogger(__name__) - - -@dataclass -class DecodingConfig(FairseqDataclass): - kenlm_path: Optional[str] = None - lm_weight: float = 0 - blank_weight: float = 0 - - -@dataclass -class UnpairedAudioTextConfig(FairseqDataclass): - data: str = field( - default=MISSING, metadata={"help": "path to data directory containing audio"} - ) - text_data: str = field( - default=MISSING, metadata={"help": "path to data directory containing text"} - ) - max_length: Optional[int] = None - labels: Optional[str] = field( - default=None, - metadata={"help": "extension of the label file to load, used for fine-tuning"}, - ) - unfiltered: bool = field( - default=False, metadata={"help": "load data with _unfiltered suffix"} - ) - ctc_eval: bool = field( - default=False, metadata={"help": "eval UER as if computed by CTC"} - ) - sort_by_length: bool = field( - default=True, metadata={"help": "sort examples by length of audio timesteps"} - ) - shuffle: bool = field(default=True, metadata={"help": "shuffle examples"}) - append_eos: bool = field(default=False, metadata={"help": "append eos"}) - uppercase: Optional[bool] = field( - default=False, metadata={"help": "uppercase for LM score computation"} - ) - skipwords: Optional[str] = field( - default="", - metadata={ - "help": "comma-separated words to be removed for LM score computation" - }, - ) - kenlm_path: Optional[str] = None - vocab_usage_power: float = 2 - - word_decoder_config: Optional[KaldiDecoderConfig] = None - word_kenlm_path: Optional[str] = None - - decoding_config: DecodingConfig = DecodingConfig() - - -@register_task("unpaired_audio_text", dataclass=UnpairedAudioTextConfig) -class UnpairedAudioText(FairseqTask): - """ """ - - cfg: UnpairedAudioTextConfig - - def __init__( - self, - cfg: UnpairedAudioTextConfig, - source_dictionary=None, - target_dictionary=None, - ): - super().__init__(cfg) - - self._target_dictionary = target_dictionary - self._source_dictionary = source_dictionary - self.num_symbols = ( - len([s for s in target_dictionary.symbols if not s.startswith("madeup")]) - - target_dictionary.nspecial - ) - self.sil_id = ( - target_dictionary.index("") if "" in target_dictionary else -1 - ) - self.kenlm = None - if cfg.kenlm_path is not None: - import kenlm - - self.kenlm = kenlm.Model(cfg.kenlm_path) - - self.word_kenlm = None - if cfg.word_kenlm_path is not None: - import kenlm - - self.word_kenlm = kenlm.Model(cfg.word_kenlm_path) - - self.uppercase = cfg.uppercase - self.skipwords = set(cfg.skipwords.split(",")) - - def str_postprocess(s): - s = " ".join(w for w in s.split() if w not in self.skipwords) - s = s.upper() if self.uppercase else s - return s - - self.str_postprocess = str_postprocess - self.compute_lm_score = lambda s: self.kenlm.score(self.str_postprocess(s)) - - self.compute_word_score = None - if cfg.word_decoder_config is not None: - self.kaldi_decoder = KaldiDecoder(cfg.word_decoder_config, beam=10) - - def compute_word_score(logits, padding): - res = self.kaldi_decoder.decode(logits, padding) - for r in res: - r = r.result() - assert len(r) == 1 - r = r[0] - yield r["score"], r["words"] - - self.compute_word_score = compute_word_score - - @classmethod - def setup_task(cls, cfg: UnpairedAudioTextConfig, **kwargs): - """Setup the task (e.g., load dictionaries). - - Args: - cfg (AudioPretrainingConfig): configuration of this task - """ - - dict_path = os.path.join(cfg.text_data, "dict.txt") - if os.path.exists(dict_path): - target_dictionary = Dictionary.load(dict_path) - else: - dict_path = os.path.join(cfg.data, f"dict.{cfg.labels}.txt") - target_dictionary = Dictionary.load(dict_path) - - return cls(cfg, target_dictionary=target_dictionary) - - def optimizer_step(self, optimizer, model, update_num): - if hasattr(model, "get_groups_for_update"): - groups = model.get_groups_for_update(update_num) - optimizer.step(groups={groups}) - else: - optimizer.step() - - def valid_step(self, sample, model, criterion): - res = model( - **sample["net_input"], - dense_x_only=True, - ) - - dense_x = res["logits"] - padding_mask = res["padding_mask"] - - word_scores = None - if self.compute_word_score is not None: - word_scores = self.compute_word_score(dense_x.cpu(), padding_mask.cpu()) - - z = dense_x.argmax(-1) - z[padding_mask] = self.target_dictionary.pad() - - vocab_seen = torch.zeros(self.num_symbols, dtype=torch.bool) - - import editdistance - - c_err = 0 - c_len = 0 - pred_c_len = 0 - lm_score_sum = 0 - for i, (x, t, id) in enumerate( - zip( - z, - sample["target"] if "target" in sample else [None] * len(z), - sample["id"], - ) - ): - - if t is not None: - t = t[(t >= self.target_dictionary.nspecial)] - x = x[ - (x >= self.target_dictionary.nspecial) - & (x < (self.num_symbols + self.target_dictionary.nspecial)) - ] - if self.sil_id >= 0: - x = x[x != self.sil_id] - - vocab_seen[x - self.target_dictionary.nspecial] = True - - pred_units_arr = x - if self.cfg.ctc_eval: - pred_units_arr = pred_units_arr.unique_consecutive() - pred_units_arr = pred_units_arr[pred_units_arr != 0] - - if id == 0: - if t is not None: - logger.info(f"REF: {self.target_dictionary.string(t)}") - logger.info(f"HYP: {self.target_dictionary.string(pred_units_arr)}") - - if self.kenlm is not None: - if t is not None: - ref_lm_s = self.compute_lm_score( - self.target_dictionary.string(t) - ) - logger.info( - f"LM [REF]: {ref_lm_s}, {math.pow(10, -ref_lm_s / (len(t) + 1))}" - ) - - hyp_lm_s = self.compute_lm_score( - self.target_dictionary.string(pred_units_arr) - ) - logger.info( - f"LM [HYP]: {hyp_lm_s}, {math.pow(10, -hyp_lm_s / (len(pred_units_arr) + 1))}" - ) - - pred_units_arr = pred_units_arr.tolist() - - pred_c_len += len(pred_units_arr) - - if t is not None: - t = t.tolist() - c_err += editdistance.eval(pred_units_arr, t) - c_len += len(t) - else: - c_len = pred_c_len - - if self.kenlm is not None: - pred_str = self.target_dictionary.string(pred_units_arr) - lm_score = self.compute_lm_score(pred_str) - lm_score_sum += lm_score - - kaldi_score_sum = 0 - word_lm_sum = 0 - num_words = 0 - if word_scores is not None: - for score, words in word_scores: - kaldi_score_sum += score - num_words += len(words) - if self.word_kenlm is not None: - word_lm_sum += self.kenlm.score(" ".join(words)) - - try: - world_size = get_data_parallel_world_size() - except: - world_size = 1 - - logging_output = { - "loss": c_err, - "_num_char_errors": c_err, - "_num_chars": c_len, - "_num_pred_chars": pred_c_len, - "ntokens": c_len, - "nsentences": z.size(0), - "sample_size": c_len, - "_world_size": world_size, - "_lm_score_sum": lm_score_sum, - "_kaldi_score_sum": kaldi_score_sum, - "_word_lm_sum": word_lm_sum, - "_num_words": num_words, - "_vocab_seen": vocab_seen, - } - - return c_err, c_len, logging_output - - def load_dataset(self, split: str, task_cfg: FairseqDataclass = None, **kwargs): - data_path = self.cfg.data - task_cfg = task_cfg or self.cfg - - has_unpaired_text = os.path.exists( - os.path.join(self.cfg.text_data, f"{split}.idx") - ) - - self.datasets[split] = ExtractedFeaturesDataset( - path=data_path, - split=split, - min_length=3, - max_length=task_cfg.max_length, - labels=None if has_unpaired_text else task_cfg.labels, - label_dict=self.target_dictionary, - shuffle=getattr(task_cfg, "shuffle", True), - sort_by_length=task_cfg.sort_by_length, - ) - - logger.info(f"split {split} has unpaired text? {has_unpaired_text}") - if has_unpaired_text: - text_dataset = data_utils.load_indexed_dataset( - os.path.join(self.cfg.text_data, split), self.target_dictionary - ) - text_dataset = StripTokenDataset(text_dataset, self.target_dictionary.eos()) - self.datasets[split] = RandomInputDataset( - self.datasets[split], - text_dataset, - ["random_label"], - add_to_input=True, - pad_idx=self.target_dictionary.pad(), - ) - - @property - def source_dictionary(self): - return self._source_dictionary - - @property - def target_dictionary(self): - """Return the :class:`~fairseq.data.Dictionary` for the language - model.""" - return self._target_dictionary - - def max_positions(self): - """Maximum input length supported by the encoder.""" - return None - - def reduce_metrics(self, logging_outputs, criterion): - super().reduce_metrics(logging_outputs, criterion) - - zero = torch.scalar_tensor(0.0) - num_char_errors = sum( - log.get("_num_char_errors", zero) for log in logging_outputs - ) - num_chars = sum(log.get("_num_chars", zero) for log in logging_outputs) - num_word_errors = sum( - log.get("_num_word_errors", zero) for log in logging_outputs - ) - num_words = sum(log.get("_num_words", zero) for log in logging_outputs) - num_pred_chars = sum( - log.get("_num_pred_chars", zero) for log in logging_outputs - ) - - lm_score_sum = sum(log.get("_lm_score_sum", zero) for log in logging_outputs) - vocab_seen = ( - sum(log.get("_vocab_seen", zero) for log in logging_outputs) - .bool() - .sum() - .item() - ) - kaldi_score_sum = sum( - log.get("_kaldi_score_sum", zero) for log in logging_outputs - ) - word_lm_sum = sum(log.get("_word_lm_sum", zero) for log in logging_outputs) - - metrics.log_scalar_sum("_num_char_errors", num_char_errors) - metrics.log_scalar_sum("_num_chars", num_chars) - metrics.log_scalar_sum("_num_word_errors", num_word_errors) - metrics.log_scalar_sum("_num_words", num_words) - - metrics.log_scalar_sum("lm_score_sum", lm_score_sum) - metrics.log_scalar_sum("num_pred_chars", num_pred_chars) - - if self.cfg.word_kenlm_path is not None: - metrics.log_scalar_sum("kaldi_score_sum", kaldi_score_sum) - metrics.log_scalar_sum("word_lm_sum", word_lm_sum) - - if num_chars > 0: - metrics.log_derived( - "uer", - lambda meters: meters["_num_char_errors"].sum - * 100.0 - / meters["_num_chars"].sum - if meters["_num_chars"].sum > 0 - else float("nan"), - ) - - if lm_score_sum < 0 and vocab_seen > 0: - metrics.log_scalar("vocab_seen_pct", vocab_seen / self.num_symbols) - - metrics.log_derived( - "weighted_lm_ppl", - lambda meters: math.pow( - 10, - -meters["lm_score_sum"].sum - / ( - meters["num_pred_chars"].sum + meters["nsentences"].sum - ), # account for - ) - / meters["vocab_seen_pct"].avg ** self.cfg.vocab_usage_power, - ) - - metrics.log_derived( - "lm_ppl", - lambda meters: math.pow( - 10, - -meters["lm_score_sum"].sum - / ( - meters["num_pred_chars"].sum + meters["nsentences"].sum - ), # account for - ), - ) - else: - metrics.log_derived("weighted_lm_ppl", lambda meters: float("inf")) - - if num_words > 0: - if word_lm_sum != 0: - metrics.log_derived( - "word_lm_ppl", - lambda meters: math.pow( - 10, - -meters["word_lm_sum"].sum - / ( - meters["_num_words"].sum + meters["nsentences"].sum - ), # account for - ), - ) - metrics.log_derived( - "weighted_word_lm_ppl", - lambda meters: math.pow( - 10, - -meters["word_lm_sum"].sum - / ( - meters["_num_words"].sum + meters["nsentences"].sum - ), # account for - ) - / meters["vocab_seen_pct"].avg ** self.cfg.vocab_usage_power, - ) - - if self.cfg.word_kenlm_path is not None: - metrics.log_derived( - "kaldi_score", - lambda meters: meters["kaldi_score_sum"].sum - / meters["nsentences"].sum, - ) - - def build_model(self, cfg: FairseqDataclass): - model = super().build_model(cfg) - - return model diff --git a/spaces/OFA-Sys/OFA-Generic_Interface/fairseq/fairseq/models/nat/nonautoregressive_ensembles.py b/spaces/OFA-Sys/OFA-Generic_Interface/fairseq/fairseq/models/nat/nonautoregressive_ensembles.py deleted file mode 100644 index 705a04fb49658c91114a26efd411b4653c65b943..0000000000000000000000000000000000000000 --- a/spaces/OFA-Sys/OFA-Generic_Interface/fairseq/fairseq/models/nat/nonautoregressive_ensembles.py +++ /dev/null @@ -1,253 +0,0 @@ -# Copyright (c) Facebook, Inc. and its affiliates. -# -# This source code is licensed under the MIT license found in the -# LICENSE file in the root directory of this source tree. - -import math - -import torch -import torch.nn.functional as F -from fairseq.models.nat import ( - _apply_del_words, - _apply_ins_masks, - _apply_ins_words, - _fill, - _skip, - _skip_encoder_out, -) - - -class _EnsembleModelEncoder(object): - def __init__(self, models): - self.models = models - - def reorder_encoder_out(self, encoder_outs, new_order): - encoder_outs = [ - model.encoder.reorder_encoder_out(encoder_out, new_order) - for model, encoder_out in zip(self.models, encoder_outs) - ] - return encoder_outs - - -class BasicEnsembleModel(torch.nn.Module): - """A wrapper around an ensemble of models.""" - - def __init__(self, models): - super().__init__() - self.models = torch.nn.ModuleList(models) - self.bos = self.models[0].decoder.dictionary.bos() - self.eos = self.models[0].decoder.dictionary.eos() - self.pad = self.models[0].decoder.dictionary.pad() - self.unk = self.models[0].decoder.dictionary.unk() - self.encoder = _EnsembleModelEncoder(self.models) - - def has_encoder(self): - return hasattr(self.models[0], "encoder") - - def max_decoder_positions(self): - return min(m.max_decoder_positions() for m in self.models) - - @torch.no_grad() - def forward_encoder(self, encoder_input): - if not self.has_encoder(): - return None - return [model.forward_encoder(encoder_input) for model in self.models] - - @torch.no_grad() - def forward_decoder(self, *inputs): - raise NotImplementedError - - def initialize_output_tokens(self, *inputs): - raise NotImplementedError - - -class EnsembleLevT(BasicEnsembleModel): - """A wrapper around an ensemble of models.""" - - def __init__(self, models): - super().__init__(models) - - @torch.no_grad() - def forward_decoder( - self, decoder_out, encoder_outs, eos_penalty=0.0, max_ratio=None, **kwargs - ): - # LevT ensembling - # A pipeline of three steps: deletion, placeholder, and word insertion. - # We need to average scores in each step in a pipeline way because of dependence. - # deletion - output_tokens = decoder_out.output_tokens - output_scores = decoder_out.output_scores - attn = decoder_out.attn - - bsz = output_tokens.size(0) - if max_ratio is None: - max_lens = output_tokens.new().fill_(255) - else: - if not encoder_outs[0]["encoder_padding_mask"]: - src_lens = ( - encoder_outs[0]["encoder_out"][0].new(bsz) - .fill_(encoder_outs[0]["encoder_out"][0].size(1)) - ) - else: - src_lens = (~encoder_outs[0]["encoder_padding_mask"][0]).sum(1) - max_lens = (src_lens * max_ratio).clamp(min=10).long() - - # delete words - # do not delete tokens if it is - can_del_word = output_tokens.ne(self.pad).sum(1) > 2 - if can_del_word.sum() != 0: # we cannot delete, skip - output_tokens, output_scores, attn = self.forward_word_del( - encoder_outs, - output_tokens, - output_scores, - attn, - can_del_word, - ) - - # insert placeholders - can_ins_mask = output_tokens.ne(self.pad).sum(1) < max_lens - if can_ins_mask.sum() != 0: - output_tokens, output_scores = self.forward_mask_ins( - encoder_outs, - output_tokens, - output_scores, - can_ins_mask, - eos_penalty, - max_lens, - ) - - # insert words - can_ins_word = output_tokens.eq(self.unk).sum(1) > 0 - if can_ins_word.sum() != 0: - output_tokens, output_scores, attn = self.forward_word_ins( - encoder_outs, - output_tokens, - output_scores, - attn, - can_ins_word, - ) - - # delete some unnecessary paddings - cut_off = output_tokens.ne(self.pad).sum(1).max() - output_tokens = output_tokens[:, :cut_off] - output_scores = output_scores[:, :cut_off] - attn = None if attn is None else attn[:, :cut_off, :] - return decoder_out._replace( - output_tokens=output_tokens, - output_scores=output_scores, - attn=attn, - history=None, - ) - - def forward_word_del( - self, encoder_outs, output_tokens, output_scores, attn, can_del_word - ): - word_del_score_avg = [] - word_del_attn_avg = [] - for model, encoder_out in zip(self.models, encoder_outs): - word_del_out, word_del_attn = model.decoder.forward_word_del( - _skip(output_tokens, can_del_word), - _skip_encoder_out(model.encoder, encoder_out, can_del_word), - ) - word_del_score = F.log_softmax(word_del_out, 2) - word_del_score_avg.append(word_del_score) - word_del_attn_avg.append(word_del_attn) - word_del_score_avg = torch.logsumexp( - torch.stack(word_del_score_avg, dim=0), dim=0 - ) - math.log(len(self.models)) - word_del_pred = word_del_score_avg.max(-1)[1].bool() - if word_del_attn_avg[0] is not None: - word_del_attn_avg = torch.stack(word_del_attn_avg, dim=0) / len(self.models) - else: - word_del_attn_avg = None - - _tokens, _scores, _attn = _apply_del_words( - output_tokens[can_del_word], - output_scores[can_del_word], - word_del_attn_avg, - word_del_pred, - self.pad, - self.bos, - self.eos, - ) - output_tokens = _fill(output_tokens, can_del_word, _tokens, self.pad) - output_scores = _fill(output_scores, can_del_word, _scores, 0) - attn = _fill(attn, can_del_word, _attn, 0.0) - return output_tokens, output_scores, attn - - def forward_mask_ins( - self, - encoder_outs, - output_tokens, - output_scores, - can_ins_mask, - eos_penalty, - max_lens, - ): - mask_ins_score_avg = [] - for model, encoder_out in zip(self.models, encoder_outs): - mask_ins_out, _ = model.decoder.forward_mask_ins( - _skip(output_tokens, can_ins_mask), - _skip_encoder_out(model.encoder, encoder_out, can_ins_mask), - ) - mask_ins_score = F.log_softmax(mask_ins_out, 2) - if eos_penalty > 0.0: - mask_ins_score[:, :, 0] -= eos_penalty - mask_ins_score_avg.append(mask_ins_score) - mask_ins_score_avg = torch.logsumexp( - torch.stack(mask_ins_score_avg, dim=0), dim=0 - ) - math.log(len(self.models)) - mask_ins_pred = mask_ins_score_avg.max(-1)[1] - mask_ins_pred = torch.min( - mask_ins_pred, max_lens[can_ins_mask, None].expand_as(mask_ins_pred) - ) - _tokens, _scores = _apply_ins_masks( - output_tokens[can_ins_mask], - output_scores[can_ins_mask], - mask_ins_pred, - self.pad, - self.unk, - self.eos, - ) - output_tokens = _fill(output_tokens, can_ins_mask, _tokens, self.pad) - output_scores = _fill(output_scores, can_ins_mask, _scores, 0) - return output_tokens, output_scores - - def forward_word_ins( - self, encoder_outs, output_tokens, output_scores, attn, can_ins_word - ): - word_ins_score_avg = [] - word_ins_attn_avg = [] - for model, encoder_out in zip(self.models, encoder_outs): - word_ins_out, word_ins_attn = model.decoder.forward_word_ins( - _skip(output_tokens, can_ins_word), - _skip_encoder_out(model.encoder, encoder_out, can_ins_word), - ) - word_ins_score = F.log_softmax(word_ins_out, 2) - word_ins_score_avg.append(word_ins_score) - word_ins_attn_avg.append(word_ins_attn) - word_ins_score_avg = torch.logsumexp( - torch.stack(word_ins_score_avg, dim=0), dim=0 - ) - math.log(len(self.models)) - if word_ins_attn_avg[0] is not None: - word_ins_attn_avg = torch.stack(word_ins_attn_avg, dim=0) / len(self.models) - else: - word_ins_attn_avg = None - word_ins_score_max, word_ins_pred = word_ins_score_avg.max(-1) - - _tokens, _scores = _apply_ins_words( - output_tokens[can_ins_word], - output_scores[can_ins_word], - word_ins_pred, - word_ins_score_max, - self.unk, - ) - - output_tokens = _fill(output_tokens, can_ins_word, _tokens, self.pad) - output_scores = _fill(output_scores, can_ins_word, _scores, 0) - attn = _fill(attn, can_ins_word, word_ins_attn, 0.0) - return output_tokens, output_scores, attn - - def initialize_output_tokens(self, encoder_outs, src_tokens): - # LevT doesn't do length prediction. - return self.models[0].initialize_output_tokens(encoder_outs[0], src_tokens) diff --git a/spaces/OFA-Sys/OFA-vqa/fairseq/tests/test_fp16_optimizer.py b/spaces/OFA-Sys/OFA-vqa/fairseq/tests/test_fp16_optimizer.py deleted file mode 100644 index ce4f1c055ce68b8e3933636fae66cca73c5e9d18..0000000000000000000000000000000000000000 --- a/spaces/OFA-Sys/OFA-vqa/fairseq/tests/test_fp16_optimizer.py +++ /dev/null @@ -1,112 +0,0 @@ -# Copyright (c) Facebook, Inc. and its affiliates. -# -# This source code is licensed under the MIT license found in the -# LICENSE file in the root directory of this source tree. - -import argparse -import copy -import logging -import unittest - -import torch -from fairseq.optim.fp16_optimizer import FP16Optimizer, MemoryEfficientFP16Optimizer -from omegaconf import OmegaConf - - -@unittest.skipIf(not torch.cuda.is_available(), "test requires a GPU") -class TestGradientScaling(unittest.TestCase): - def setUp(self): - self.x = torch.tensor([2.0]).cuda().half() - weight = 3.0 - bias = 5.0 - self.error = 1.0 - self.target = torch.tensor([self.x * weight + bias + self.error]).cuda().half() - self.loss_fn = torch.nn.L1Loss() - - self.model = torch.nn.Linear(1, 1) - self.model.weight.data = torch.tensor([[weight]]) - self.model.bias.data = torch.tensor([bias]) - self.model.cuda().half() - self.params = list(self.model.parameters()) - - self.cfg_dls = OmegaConf.create( - { - "optimization": { - "lr": [0.1], - }, - "optimizer": { - "_name": "adam", - "lr": [0.1], - "adam_betas": "(0.9, 0.999)", - "adam_eps": 1e-8, - "weight_decay": 0.0, - }, - "common": { - "fp16_init_scale": 1, - "fp16_scale_window": 1, - "fp16_scale_tolerance": 1, - "threshold_loss_scale": 1, - "min_loss_scale": 1e-4, - "tpu": False, - }, - } - ) - logging.disable(logging.CRITICAL) - - def tearDown(self): - logging.disable(logging.NOTSET) - - def run_iter(self, model, params, optimizer): - optimizer.zero_grad() - y = model(self.x) - loss = self.loss_fn(y, self.target) - optimizer.backward(loss) - self.assertEqual(loss, torch.tensor(1.0, device="cuda:0", dtype=torch.float16)) - - grad_norm = optimizer.clip_grad_norm(0) - self.assertAlmostEqual(grad_norm.item(), 2.2361, 4) - - optimizer.step() - self.assertEqual( - model.weight, - torch.tensor( - [[3.0996]], device="cuda:0", dtype=torch.float16, requires_grad=True - ), - ) - self.assertEqual( - model.bias, - torch.tensor( - [5.1016], device="cuda:0", dtype=torch.float16, requires_grad=True - ), - ) - self.assertEqual(optimizer.scaler.loss_scale, 2.0) - - def test_mixed_precision(self): - model = copy.deepcopy(self.model) - params = list(model.parameters()) - optimizer = FP16Optimizer.build_optimizer(self.cfg_dls, params) - - self.run_iter(model, params, optimizer) - self.assertTrue( - all( - torch.all( - fp32_params.eq( - torch.tensor( - [3.1000, 5.1000], device="cuda:0", requires_grad=True - ) - ) - ) - for fp32_params in optimizer.fp32_params.values() - ) - ) - - def test_memory_efficient(self): - model = copy.deepcopy(self.model) - params = list(model.parameters()) - optimizer = MemoryEfficientFP16Optimizer.build_optimizer(self.cfg_dls, params) - - self.run_iter(model, params, optimizer) - - -if __name__ == "__main__": - unittest.main() diff --git a/spaces/OIUGLK/bingo/src/components/ui/voice/index.tsx b/spaces/OIUGLK/bingo/src/components/ui/voice/index.tsx deleted file mode 100644 index 4adcb632226bfced8b97092782811edf08b56569..0000000000000000000000000000000000000000 --- a/spaces/OIUGLK/bingo/src/components/ui/voice/index.tsx +++ /dev/null @@ -1,28 +0,0 @@ -import './index.scss' - -export interface VoiceProps extends CSSPropertyRule { - num?: number; - duration?: number; -} -export default function Voice({ duration = 400, num = 7, ...others }) { - return ( -
- {Array.from({ length: num }).map((_, index) => { - const randomDuration = Math.random() * 100 + duration - const initialDelay = Math.random() * 2 * duration - const initialScale = Math.sin((index + 1) * Math.PI / num) - return ( -
- ) - })} -
- ) -} diff --git a/spaces/Omnibus/Video-Diffusion-WebUI/video_diffusion/tuneavideo/models/resnet.py b/spaces/Omnibus/Video-Diffusion-WebUI/video_diffusion/tuneavideo/models/resnet.py deleted file mode 100644 index bf621e53dd2b467d5dcef4817fed0482c94ae458..0000000000000000000000000000000000000000 --- a/spaces/Omnibus/Video-Diffusion-WebUI/video_diffusion/tuneavideo/models/resnet.py +++ /dev/null @@ -1,208 +0,0 @@ -# Adapted from https://github.com/huggingface/diffusers/blob/main/src/diffusers/models/resnet.py - -import torch -import torch.nn as nn -import torch.nn.functional as F -from einops import rearrange - - -class InflatedConv3d(nn.Conv2d): - def forward(self, x): - video_length = x.shape[2] - - x = rearrange(x, "b c f h w -> (b f) c h w") - x = super().forward(x) - x = rearrange(x, "(b f) c h w -> b c f h w", f=video_length) - - return x - - -class Upsample3D(nn.Module): - def __init__(self, channels, use_conv=False, use_conv_transpose=False, out_channels=None, name="conv"): - super().__init__() - self.channels = channels - self.out_channels = out_channels or channels - self.use_conv = use_conv - self.use_conv_transpose = use_conv_transpose - self.name = name - - conv = None - if use_conv_transpose: - raise NotImplementedError - elif use_conv: - conv = InflatedConv3d(self.channels, self.out_channels, 3, padding=1) - - if name == "conv": - self.conv = conv - else: - self.Conv2d_0 = conv - - def forward(self, hidden_states, output_size=None): - assert hidden_states.shape[1] == self.channels - - if self.use_conv_transpose: - raise NotImplementedError - - # Cast to float32 to as 'upsample_nearest2d_out_frame' op does not support bfloat16 - dtype = hidden_states.dtype - if dtype == torch.bfloat16: - hidden_states = hidden_states.to(torch.float32) - - # upsample_nearest_nhwc fails with large batch sizes. see https://github.com/huggingface/diffusers/issues/984 - if hidden_states.shape[0] >= 64: - hidden_states = hidden_states.contiguous() - - # if `output_size` is passed we force the interpolation output - # size and do not make use of `scale_factor=2` - if output_size is None: - hidden_states = F.interpolate(hidden_states, scale_factor=[1.0, 2.0, 2.0], mode="nearest") - else: - hidden_states = F.interpolate(hidden_states, size=output_size, mode="nearest") - - # If the input is bfloat16, we cast back to bfloat16 - if dtype == torch.bfloat16: - hidden_states = hidden_states.to(dtype) - - if self.use_conv: - if self.name == "conv": - hidden_states = self.conv(hidden_states) - else: - hidden_states = self.Conv2d_0(hidden_states) - - return hidden_states - - -class Downsample3D(nn.Module): - def __init__(self, channels, use_conv=False, out_channels=None, padding=1, name="conv"): - super().__init__() - self.channels = channels - self.out_channels = out_channels or channels - self.use_conv = use_conv - self.padding = padding - stride = 2 - self.name = name - - if use_conv: - conv = InflatedConv3d(self.channels, self.out_channels, 3, stride=stride, padding=padding) - else: - raise NotImplementedError - - if name == "conv": - self.Conv2d_0 = conv - self.conv = conv - elif name == "Conv2d_0": - self.conv = conv - else: - self.conv = conv - - def forward(self, hidden_states): - assert hidden_states.shape[1] == self.channels - if self.use_conv and self.padding == 0: - raise NotImplementedError - - assert hidden_states.shape[1] == self.channels - hidden_states = self.conv(hidden_states) - - return hidden_states - - -class ResnetBlock3D(nn.Module): - def __init__( - self, - *, - in_channels, - out_channels=None, - conv_shortcut=False, - dropout=0.0, - temb_channels=512, - groups=32, - groups_out=None, - pre_norm=True, - eps=1e-6, - non_linearity="swish", - time_embedding_norm="default", - output_scale_factor=1.0, - use_in_shortcut=None, - ): - super().__init__() - self.pre_norm = pre_norm - self.pre_norm = True - self.in_channels = in_channels - out_channels = in_channels if out_channels is None else out_channels - self.out_channels = out_channels - self.use_conv_shortcut = conv_shortcut - self.time_embedding_norm = time_embedding_norm - self.output_scale_factor = output_scale_factor - - if groups_out is None: - groups_out = groups - - self.norm1 = torch.nn.GroupNorm(num_groups=groups, num_channels=in_channels, eps=eps, affine=True) - - self.conv1 = InflatedConv3d(in_channels, out_channels, kernel_size=3, stride=1, padding=1) - - if temb_channels is not None: - if self.time_embedding_norm == "default": - time_emb_proj_out_channels = out_channels - elif self.time_embedding_norm == "scale_shift": - time_emb_proj_out_channels = out_channels * 2 - else: - raise ValueError(f"unknown time_embedding_norm : {self.time_embedding_norm} ") - - self.time_emb_proj = torch.nn.Linear(temb_channels, time_emb_proj_out_channels) - else: - self.time_emb_proj = None - - self.norm2 = torch.nn.GroupNorm(num_groups=groups_out, num_channels=out_channels, eps=eps, affine=True) - self.dropout = torch.nn.Dropout(dropout) - self.conv2 = InflatedConv3d(out_channels, out_channels, kernel_size=3, stride=1, padding=1) - - if non_linearity == "swish": - self.nonlinearity = lambda x: F.silu(x) - elif non_linearity == "mish": - self.nonlinearity = Mish() - elif non_linearity == "silu": - self.nonlinearity = nn.SiLU() - - self.use_in_shortcut = self.in_channels != self.out_channels if use_in_shortcut is None else use_in_shortcut - - self.conv_shortcut = None - if self.use_in_shortcut: - self.conv_shortcut = InflatedConv3d(in_channels, out_channels, kernel_size=1, stride=1, padding=0) - - def forward(self, input_tensor, temb): - hidden_states = input_tensor - - hidden_states = self.norm1(hidden_states) - hidden_states = self.nonlinearity(hidden_states) - - hidden_states = self.conv1(hidden_states) - - if temb is not None: - temb = self.time_emb_proj(self.nonlinearity(temb))[:, :, None, None, None] - - if temb is not None and self.time_embedding_norm == "default": - hidden_states = hidden_states + temb - - hidden_states = self.norm2(hidden_states) - - if temb is not None and self.time_embedding_norm == "scale_shift": - scale, shift = torch.chunk(temb, 2, dim=1) - hidden_states = hidden_states * (1 + scale) + shift - - hidden_states = self.nonlinearity(hidden_states) - - hidden_states = self.dropout(hidden_states) - hidden_states = self.conv2(hidden_states) - - if self.conv_shortcut is not None: - input_tensor = self.conv_shortcut(input_tensor) - - output_tensor = (input_tensor + hidden_states) / self.output_scale_factor - - return output_tensor - - -class Mish(torch.nn.Module): - def forward(self, hidden_states): - return hidden_states * torch.tanh(torch.nn.functional.softplus(hidden_states)) diff --git a/spaces/OpenGVLab/InternGPT/iGPT/models/grit_src/third_party/CenterNet2/configs/COCO-InstanceSegmentation/mask_rcnn_regnetx_4gf_dds_fpn_1x.py b/spaces/OpenGVLab/InternGPT/iGPT/models/grit_src/third_party/CenterNet2/configs/COCO-InstanceSegmentation/mask_rcnn_regnetx_4gf_dds_fpn_1x.py deleted file mode 100644 index d7bbdd7d00505f1e51154379c99ab621cb648a6d..0000000000000000000000000000000000000000 --- a/spaces/OpenGVLab/InternGPT/iGPT/models/grit_src/third_party/CenterNet2/configs/COCO-InstanceSegmentation/mask_rcnn_regnetx_4gf_dds_fpn_1x.py +++ /dev/null @@ -1,34 +0,0 @@ -from ..common.optim import SGD as optimizer -from ..common.coco_schedule import lr_multiplier_1x as lr_multiplier -from ..common.data.coco import dataloader -from ..common.models.mask_rcnn_fpn import model -from ..common.train import train - -from detectron2.config import LazyCall as L -from detectron2.modeling.backbone import RegNet -from detectron2.modeling.backbone.regnet import SimpleStem, ResBottleneckBlock - - -# Replace default ResNet with RegNetX-4GF from the DDS paper. Config source: -# https://github.com/facebookresearch/pycls/blob/2c152a6e5d913e898cca4f0a758f41e6b976714d/configs/dds_baselines/regnetx/RegNetX-4.0GF_dds_8gpu.yaml#L4-L9 # noqa -model.backbone.bottom_up = L(RegNet)( - stem_class=SimpleStem, - stem_width=32, - block_class=ResBottleneckBlock, - depth=23, - w_a=38.65, - w_0=96, - w_m=2.43, - group_width=40, - freeze_at=2, - norm="FrozenBN", - out_features=["s1", "s2", "s3", "s4"], -) -model.pixel_std = [57.375, 57.120, 58.395] - -optimizer.weight_decay = 5e-5 -train.init_checkpoint = ( - "https://dl.fbaipublicfiles.com/pycls/dds_baselines/160906383/RegNetX-4.0GF_dds_8gpu.pyth" -) -# RegNets benefit from enabling cudnn benchmark mode -train.cudnn_benchmark = True diff --git a/spaces/OpenGVLab/InternGPT/third-party/lama/bin/sample_from_dataset.py b/spaces/OpenGVLab/InternGPT/third-party/lama/bin/sample_from_dataset.py deleted file mode 100644 index 31593b3212454dd0b6f74a39195a34b489df20a1..0000000000000000000000000000000000000000 --- a/spaces/OpenGVLab/InternGPT/third-party/lama/bin/sample_from_dataset.py +++ /dev/null @@ -1,87 +0,0 @@ -#!/usr/bin/env python3 - -import os - -import numpy as np -import tqdm -from skimage import io -from skimage.segmentation import mark_boundaries - -from saicinpainting.evaluation.data import InpaintingDataset -from saicinpainting.evaluation.vis import save_item_for_vis - -def save_mask_for_sidebyside(item, out_file): - mask = item['mask']# > 0.5 - if mask.ndim == 3: - mask = mask[0] - mask = np.clip(mask * 255, 0, 255).astype('uint8') - io.imsave(out_file, mask) - -def save_img_for_sidebyside(item, out_file): - img = np.transpose(item['image'], (1, 2, 0)) - img = np.clip(img * 255, 0, 255).astype('uint8') - io.imsave(out_file, img) - -def save_masked_img_for_sidebyside(item, out_file): - mask = item['mask'] - img = item['image'] - - img = (1-mask) * img + mask - img = np.transpose(img, (1, 2, 0)) - - img = np.clip(img * 255, 0, 255).astype('uint8') - io.imsave(out_file, img) - -def main(args): - dataset = InpaintingDataset(args.datadir, img_suffix='.png') - - area_bins = np.linspace(0, 1, args.area_bins + 1) - - heights = [] - widths = [] - image_areas = [] - hole_areas = [] - hole_area_percents = [] - area_bins_count = np.zeros(args.area_bins) - area_bin_titles = [f'{area_bins[i] * 100:.0f}-{area_bins[i + 1] * 100:.0f}' for i in range(args.area_bins)] - - bin2i = [[] for _ in range(args.area_bins)] - - for i, item in enumerate(tqdm.tqdm(dataset)): - h, w = item['image'].shape[1:] - heights.append(h) - widths.append(w) - full_area = h * w - image_areas.append(full_area) - hole_area = (item['mask'] == 1).sum() - hole_areas.append(hole_area) - hole_percent = hole_area / full_area - hole_area_percents.append(hole_percent) - bin_i = np.clip(np.searchsorted(area_bins, hole_percent) - 1, 0, len(area_bins_count) - 1) - area_bins_count[bin_i] += 1 - bin2i[bin_i].append(i) - - os.makedirs(args.outdir, exist_ok=True) - - for bin_i in range(args.area_bins): - bindir = os.path.join(args.outdir, area_bin_titles[bin_i]) - os.makedirs(bindir, exist_ok=True) - bin_idx = bin2i[bin_i] - for sample_i in np.random.choice(bin_idx, size=min(len(bin_idx), args.samples_n), replace=False): - item = dataset[sample_i] - path = os.path.join(bindir, dataset.img_filenames[sample_i].split('/')[-1]) - save_masked_img_for_sidebyside(item, path) - - -if __name__ == '__main__': - import argparse - - aparser = argparse.ArgumentParser() - aparser.add_argument('--datadir', type=str, - help='Path to folder with images and masks (output of gen_mask_dataset.py)') - aparser.add_argument('--outdir', type=str, help='Where to put results') - aparser.add_argument('--samples-n', type=int, default=10, - help='Number of sample images with masks to copy for visualization for each area bin') - aparser.add_argument('--area-bins', type=int, default=10, help='How many area bins to have') - - main(aparser.parse_args()) diff --git a/spaces/OpenGVLab/InternGPT/third-party/lama/saicinpainting/training/visualizers/noop.py b/spaces/OpenGVLab/InternGPT/third-party/lama/saicinpainting/training/visualizers/noop.py deleted file mode 100644 index 4175089a54a8484d51e6c879c1a99c4e4d961d15..0000000000000000000000000000000000000000 --- a/spaces/OpenGVLab/InternGPT/third-party/lama/saicinpainting/training/visualizers/noop.py +++ /dev/null @@ -1,9 +0,0 @@ -from saicinpainting.training.visualizers.base import BaseVisualizer - - -class NoopVisualizer(BaseVisualizer): - def __init__(self, *args, **kwargs): - pass - - def __call__(self, epoch_i, batch_i, batch, suffix='', rank=None): - pass diff --git a/spaces/PeepDaSlan9/TigerResearch-tigerbot-70b-chat/app.py b/spaces/PeepDaSlan9/TigerResearch-tigerbot-70b-chat/app.py deleted file mode 100644 index abbf2bf3cd9ee130c977577d23dcf58a5adfea7e..0000000000000000000000000000000000000000 --- a/spaces/PeepDaSlan9/TigerResearch-tigerbot-70b-chat/app.py +++ /dev/null @@ -1,3 +0,0 @@ -import gradio as gr - -gr.Interface.load("models/TigerResearch/tigerbot-70b-chat").launch() \ No newline at end of file diff --git a/spaces/PeepDaSlan9/bigscience-bloom/app.py b/spaces/PeepDaSlan9/bigscience-bloom/app.py deleted file mode 100644 index e2baf29247fdd75903697d71a498e9de137f37bc..0000000000000000000000000000000000000000 --- a/spaces/PeepDaSlan9/bigscience-bloom/app.py +++ /dev/null @@ -1,3 +0,0 @@ -import gradio as gr - -gr.Interface.load("models/bigscience/bloom").launch() \ No newline at end of file diff --git a/spaces/Pie31415/control-animation/annotator/uniformer/mmseg/datasets/pipelines/formating.py b/spaces/Pie31415/control-animation/annotator/uniformer/mmseg/datasets/pipelines/formating.py deleted file mode 100644 index 97db85f4f9db39fb86ba77ead7d1a8407d810adb..0000000000000000000000000000000000000000 --- a/spaces/Pie31415/control-animation/annotator/uniformer/mmseg/datasets/pipelines/formating.py +++ /dev/null @@ -1,288 +0,0 @@ -from collections.abc import Sequence - -import annotator.uniformer.mmcv as mmcv -import numpy as np -import torch -from annotator.uniformer.mmcv.parallel import DataContainer as DC - -from ..builder import PIPELINES - - -def to_tensor(data): - """Convert objects of various python types to :obj:`torch.Tensor`. - - Supported types are: :class:`numpy.ndarray`, :class:`torch.Tensor`, - :class:`Sequence`, :class:`int` and :class:`float`. - - Args: - data (torch.Tensor | numpy.ndarray | Sequence | int | float): Data to - be converted. - """ - - if isinstance(data, torch.Tensor): - return data - elif isinstance(data, np.ndarray): - return torch.from_numpy(data) - elif isinstance(data, Sequence) and not mmcv.is_str(data): - return torch.tensor(data) - elif isinstance(data, int): - return torch.LongTensor([data]) - elif isinstance(data, float): - return torch.FloatTensor([data]) - else: - raise TypeError(f'type {type(data)} cannot be converted to tensor.') - - -@PIPELINES.register_module() -class ToTensor(object): - """Convert some results to :obj:`torch.Tensor` by given keys. - - Args: - keys (Sequence[str]): Keys that need to be converted to Tensor. - """ - - def __init__(self, keys): - self.keys = keys - - def __call__(self, results): - """Call function to convert data in results to :obj:`torch.Tensor`. - - Args: - results (dict): Result dict contains the data to convert. - - Returns: - dict: The result dict contains the data converted - to :obj:`torch.Tensor`. - """ - - for key in self.keys: - results[key] = to_tensor(results[key]) - return results - - def __repr__(self): - return self.__class__.__name__ + f'(keys={self.keys})' - - -@PIPELINES.register_module() -class ImageToTensor(object): - """Convert image to :obj:`torch.Tensor` by given keys. - - The dimension order of input image is (H, W, C). The pipeline will convert - it to (C, H, W). If only 2 dimension (H, W) is given, the output would be - (1, H, W). - - Args: - keys (Sequence[str]): Key of images to be converted to Tensor. - """ - - def __init__(self, keys): - self.keys = keys - - def __call__(self, results): - """Call function to convert image in results to :obj:`torch.Tensor` and - transpose the channel order. - - Args: - results (dict): Result dict contains the image data to convert. - - Returns: - dict: The result dict contains the image converted - to :obj:`torch.Tensor` and transposed to (C, H, W) order. - """ - - for key in self.keys: - img = results[key] - if len(img.shape) < 3: - img = np.expand_dims(img, -1) - results[key] = to_tensor(img.transpose(2, 0, 1)) - return results - - def __repr__(self): - return self.__class__.__name__ + f'(keys={self.keys})' - - -@PIPELINES.register_module() -class Transpose(object): - """Transpose some results by given keys. - - Args: - keys (Sequence[str]): Keys of results to be transposed. - order (Sequence[int]): Order of transpose. - """ - - def __init__(self, keys, order): - self.keys = keys - self.order = order - - def __call__(self, results): - """Call function to convert image in results to :obj:`torch.Tensor` and - transpose the channel order. - - Args: - results (dict): Result dict contains the image data to convert. - - Returns: - dict: The result dict contains the image converted - to :obj:`torch.Tensor` and transposed to (C, H, W) order. - """ - - for key in self.keys: - results[key] = results[key].transpose(self.order) - return results - - def __repr__(self): - return self.__class__.__name__ + \ - f'(keys={self.keys}, order={self.order})' - - -@PIPELINES.register_module() -class ToDataContainer(object): - """Convert results to :obj:`mmcv.DataContainer` by given fields. - - Args: - fields (Sequence[dict]): Each field is a dict like - ``dict(key='xxx', **kwargs)``. The ``key`` in result will - be converted to :obj:`mmcv.DataContainer` with ``**kwargs``. - Default: ``(dict(key='img', stack=True), - dict(key='gt_semantic_seg'))``. - """ - - def __init__(self, - fields=(dict(key='img', - stack=True), dict(key='gt_semantic_seg'))): - self.fields = fields - - def __call__(self, results): - """Call function to convert data in results to - :obj:`mmcv.DataContainer`. - - Args: - results (dict): Result dict contains the data to convert. - - Returns: - dict: The result dict contains the data converted to - :obj:`mmcv.DataContainer`. - """ - - for field in self.fields: - field = field.copy() - key = field.pop('key') - results[key] = DC(results[key], **field) - return results - - def __repr__(self): - return self.__class__.__name__ + f'(fields={self.fields})' - - -@PIPELINES.register_module() -class DefaultFormatBundle(object): - """Default formatting bundle. - - It simplifies the pipeline of formatting common fields, including "img" - and "gt_semantic_seg". These fields are formatted as follows. - - - img: (1)transpose, (2)to tensor, (3)to DataContainer (stack=True) - - gt_semantic_seg: (1)unsqueeze dim-0 (2)to tensor, - (3)to DataContainer (stack=True) - """ - - def __call__(self, results): - """Call function to transform and format common fields in results. - - Args: - results (dict): Result dict contains the data to convert. - - Returns: - dict: The result dict contains the data that is formatted with - default bundle. - """ - - if 'img' in results: - img = results['img'] - if len(img.shape) < 3: - img = np.expand_dims(img, -1) - img = np.ascontiguousarray(img.transpose(2, 0, 1)) - results['img'] = DC(to_tensor(img), stack=True) - if 'gt_semantic_seg' in results: - # convert to long - results['gt_semantic_seg'] = DC( - to_tensor(results['gt_semantic_seg'][None, - ...].astype(np.int64)), - stack=True) - return results - - def __repr__(self): - return self.__class__.__name__ - - -@PIPELINES.register_module() -class Collect(object): - """Collect data from the loader relevant to the specific task. - - This is usually the last stage of the data loader pipeline. Typically keys - is set to some subset of "img", "gt_semantic_seg". - - The "img_meta" item is always populated. The contents of the "img_meta" - dictionary depends on "meta_keys". By default this includes: - - - "img_shape": shape of the image input to the network as a tuple - (h, w, c). Note that images may be zero padded on the bottom/right - if the batch tensor is larger than this shape. - - - "scale_factor": a float indicating the preprocessing scale - - - "flip": a boolean indicating if image flip transform was used - - - "filename": path to the image file - - - "ori_shape": original shape of the image as a tuple (h, w, c) - - - "pad_shape": image shape after padding - - - "img_norm_cfg": a dict of normalization information: - - mean - per channel mean subtraction - - std - per channel std divisor - - to_rgb - bool indicating if bgr was converted to rgb - - Args: - keys (Sequence[str]): Keys of results to be collected in ``data``. - meta_keys (Sequence[str], optional): Meta keys to be converted to - ``mmcv.DataContainer`` and collected in ``data[img_metas]``. - Default: ``('filename', 'ori_filename', 'ori_shape', 'img_shape', - 'pad_shape', 'scale_factor', 'flip', 'flip_direction', - 'img_norm_cfg')`` - """ - - def __init__(self, - keys, - meta_keys=('filename', 'ori_filename', 'ori_shape', - 'img_shape', 'pad_shape', 'scale_factor', 'flip', - 'flip_direction', 'img_norm_cfg')): - self.keys = keys - self.meta_keys = meta_keys - - def __call__(self, results): - """Call function to collect keys in results. The keys in ``meta_keys`` - will be converted to :obj:mmcv.DataContainer. - - Args: - results (dict): Result dict contains the data to collect. - - Returns: - dict: The result dict contains the following keys - - keys in``self.keys`` - - ``img_metas`` - """ - - data = {} - img_meta = {} - for key in self.meta_keys: - img_meta[key] = results[key] - data['img_metas'] = DC(img_meta, cpu_only=True) - for key in self.keys: - data[key] = results[key] - return data - - def __repr__(self): - return self.__class__.__name__ + \ - f'(keys={self.keys}, meta_keys={self.meta_keys})' diff --git a/spaces/Pinwheel/GLIP-BLIP-Object-Detection-VQA/maskrcnn_benchmark/modeling/roi_heads/mask_head/mask_head.py b/spaces/Pinwheel/GLIP-BLIP-Object-Detection-VQA/maskrcnn_benchmark/modeling/roi_heads/mask_head/mask_head.py deleted file mode 100644 index 5558e9545bf159445882aab2ddc5d0d1fde0d899..0000000000000000000000000000000000000000 --- a/spaces/Pinwheel/GLIP-BLIP-Object-Detection-VQA/maskrcnn_benchmark/modeling/roi_heads/mask_head/mask_head.py +++ /dev/null @@ -1,88 +0,0 @@ -# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. -import torch -from torch import nn - -from maskrcnn_benchmark.structures.bounding_box import BoxList - -from .roi_mask_feature_extractors import make_roi_mask_feature_extractor -from .roi_mask_predictors import make_roi_mask_predictor -from .inference import make_roi_mask_post_processor -from .loss import make_roi_mask_loss_evaluator - - -def keep_only_positive_boxes(boxes): - """ - Given a set of BoxList containing the `labels` field, - return a set of BoxList for which `labels > 0`. - - Arguments: - boxes (list of BoxList) - """ - assert isinstance(boxes, (list, tuple)) - assert isinstance(boxes[0], BoxList) - assert boxes[0].has_field("labels") - positive_boxes = [] - positive_inds = [] - num_boxes = 0 - for boxes_per_image in boxes: - labels = boxes_per_image.get_field("labels") - inds_mask = labels > 0 - inds = inds_mask.nonzero().squeeze(1) - positive_boxes.append(boxes_per_image[inds]) - positive_inds.append(inds_mask) - return positive_boxes, positive_inds - - -class ROIMaskHead(torch.nn.Module): - def __init__(self, cfg): - super(ROIMaskHead, self).__init__() - self.cfg = cfg.clone() - self.feature_extractor = make_roi_mask_feature_extractor(cfg) - self.predictor = make_roi_mask_predictor(cfg) - self.post_processor = make_roi_mask_post_processor(cfg) - self.loss_evaluator = make_roi_mask_loss_evaluator(cfg) - - def forward(self, features, proposals, targets=None, - language_dict_features=None, - positive_map_label_to_token=None - ): - """ - Arguments: - features (list[Tensor]): feature-maps from possibly several levels - proposals (list[BoxList]): proposal boxes - targets (list[BoxList], optional): the ground-truth targets. - language_dict_features: language features: hidden, embedding, mask, ... - - Returns: - x (Tensor): the result of the feature extractor - proposals (list[BoxList]): during training, the original proposals - are returned. During testing, the predicted boxlists are returned - with the `mask` field set - losses (dict[Tensor]): During training, returns the losses for the - head. During testing, returns an empty dict. - """ - if self.training: - # during training, only focus on positive boxes - all_proposals = proposals - proposals, positive_inds = keep_only_positive_boxes(proposals) - if self.training and self.cfg.MODEL.ROI_MASK_HEAD.SHARE_BOX_FEATURE_EXTRACTOR: - x = features - x = x[torch.cat(positive_inds, dim=0)] - else: - x = self.feature_extractor(features, proposals) - if self.cfg.MODEL.ROI_MASK_HEAD.PREDICTOR.startswith("VL"): - mask_logits = self.predictor(x, language_dict_features) - else: - mask_logits = self.predictor(x) - - if not self.training: - result = self.post_processor(mask_logits, proposals, positive_map_label_to_token) - return x, result, {} - - loss_mask = self.loss_evaluator(proposals, mask_logits, targets) - - return x, all_proposals, dict(loss_mask=loss_mask) - - -def build_roi_mask_head(cfg): - return ROIMaskHead(cfg) diff --git a/spaces/Pranjal-666/DL_bearTypeTest/app.py b/spaces/Pranjal-666/DL_bearTypeTest/app.py deleted file mode 100644 index 3c7e91ed1ace9db9bd4c202a3558fec36eec85ae..0000000000000000000000000000000000000000 --- a/spaces/Pranjal-666/DL_bearTypeTest/app.py +++ /dev/null @@ -1,28 +0,0 @@ -# AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb. - -# %% auto 0 -__all__ = ['model', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image'] - -# %% ../app.ipynb 3 -from fastai.vision.all import * - -import gradio as gr - - -# %% ../app.ipynb 6 -model=load_learner('model.pkl') - -# %% ../app.ipynb 8 -categories = ('black', 'grizzly','teddy') - -def classify_image(img): - pred, idx, probs = model.predict(img) - return dict(zip(categories, map (float,probs))) - -# %% ../app.ipynb 10 -image= gr.inputs.Image(shape=(192, 192)) -label= gr.outputs.Label() -examples =[['./black.jpg'], ['./teddy.jpg']] - -intf= gr.Interface(fn =classify_image, inputs= image, outputs= label, Examples= examples) -intf.launch() \ No newline at end of file diff --git a/spaces/QinBingFeng/dalle-mini/README.md b/spaces/QinBingFeng/dalle-mini/README.md deleted file mode 100644 index e8d3d7e311b04d1e35e1ff572ec809613f71f09c..0000000000000000000000000000000000000000 --- a/spaces/QinBingFeng/dalle-mini/README.md +++ /dev/null @@ -1,11 +0,0 @@ ---- -title: DALL·E mini -metaTitle: DALL·E mini by craiyon.com on Hugging Face -emoji: 🥑 -colorFrom: yellow -colorTo: green -sdk: static -pinned: true -license: apache-2.0 -duplicated_from: dalle-mini/dalle-mini ---- diff --git a/spaces/Qiukai/gpt/main.py b/spaces/Qiukai/gpt/main.py deleted file mode 100644 index 9e137fb796c3c05accf1dc59b2652c3f64fc1a53..0000000000000000000000000000000000000000 --- a/spaces/Qiukai/gpt/main.py +++ /dev/null @@ -1,174 +0,0 @@ -import os; os.environ['no_proxy'] = '*' # 避免代理网络产生意外污染 -import gradio as gr -from request_llm.bridge_chatgpt import predict -from toolbox import format_io, find_free_port, on_file_uploaded, on_report_generated, get_conf, ArgsGeneralWrapper, DummyWith - -# 建议您复制一个config_private.py放自己的秘密, 如API和代理网址, 避免不小心传github被别人看到 -proxies, WEB_PORT, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION, CHATBOT_HEIGHT, LAYOUT, API_KEY = \ - get_conf('proxies', 'WEB_PORT', 'LLM_MODEL', 'CONCURRENT_COUNT', 'AUTHENTICATION', 'CHATBOT_HEIGHT', 'LAYOUT', 'API_KEY') - -# 如果WEB_PORT是-1, 则随机选取WEB端口 -PORT = find_free_port() if WEB_PORT <= 0 else WEB_PORT -if not AUTHENTICATION: AUTHENTICATION = None - -from check_proxy import get_current_version -initial_prompt = "Serve me as a writing and programming assistant." -title_html = f"

ChatGPT 学术优化 {get_current_version()}

" -description = """代码开源和更新[地址🚀](https://github.com/binary-husky/chatgpt_academic),感谢热情的[开发者们❤️](https://github.com/binary-husky/chatgpt_academic/graphs/contributors)""" - -# 问询记录, python 版本建议3.9+(越新越好) -import logging -os.makedirs("gpt_log", exist_ok=True) -try:logging.basicConfig(filename="gpt_log/chat_secrets.log", level=logging.INFO, encoding="utf-8") -except:logging.basicConfig(filename="gpt_log/chat_secrets.log", level=logging.INFO) -print("所有问询记录将自动保存在本地目录./gpt_log/chat_secrets.log, 请注意自我隐私保护哦!") - -# 一些普通功能模块 -from core_functional import get_core_functions -functional = get_core_functions() - -# 高级函数插件 -from crazy_functional import get_crazy_functions -crazy_fns = get_crazy_functions() - -# 处理markdown文本格式的转变 -gr.Chatbot.postprocess = format_io - -# 做一些外观色彩上的调整 -from theme import adjust_theme, advanced_css -set_theme = adjust_theme() - -# 代理与自动更新 -from check_proxy import check_proxy, auto_update -proxy_info = check_proxy(proxies) - -gr_L1 = lambda: gr.Row().style() -gr_L2 = lambda scale: gr.Column(scale=scale) -if LAYOUT == "TOP-DOWN": - gr_L1 = lambda: DummyWith() - gr_L2 = lambda scale: gr.Row() - CHATBOT_HEIGHT /= 2 - -cancel_handles = [] -with gr.Blocks(title="ChatGPT 学术优化", theme=set_theme, analytics_enabled=False, css=advanced_css) as demo: - gr.HTML(title_html) - cookies = gr.State({'api_key': API_KEY, 'llm_model': LLM_MODEL}) - with gr_L1(): - with gr_L2(scale=2): - chatbot = gr.Chatbot() - chatbot.style(height=CHATBOT_HEIGHT) - history = gr.State([]) - with gr_L2(scale=1): - with gr.Accordion("输入区", open=True) as area_input_primary: - with gr.Row(): - txt = gr.Textbox(show_label=False, placeholder="Input question here.").style(container=False) - with gr.Row(): - submitBtn = gr.Button("提交", variant="primary") - with gr.Row(): - resetBtn = gr.Button("重置", variant="secondary"); resetBtn.style(size="sm") - stopBtn = gr.Button("停止", variant="secondary"); stopBtn.style(size="sm") - with gr.Row(): - status = gr.Markdown(f"Tip: 按Enter提交, 按Shift+Enter换行。当前模型: {LLM_MODEL} \n {proxy_info}") - with gr.Accordion("基础功能区", open=True) as area_basic_fn: - with gr.Row(): - for k in functional: - variant = functional[k]["Color"] if "Color" in functional[k] else "secondary" - functional[k]["Button"] = gr.Button(k, variant=variant) - with gr.Accordion("函数插件区", open=True) as area_crazy_fn: - with gr.Row(): - gr.Markdown("注意:以下“红颜色”标识的函数插件需从输入区读取路径作为参数.") - with gr.Row(): - for k in crazy_fns: - if not crazy_fns[k].get("AsButton", True): continue - variant = crazy_fns[k]["Color"] if "Color" in crazy_fns[k] else "secondary" - crazy_fns[k]["Button"] = gr.Button(k, variant=variant) - crazy_fns[k]["Button"].style(size="sm") - with gr.Row(): - with gr.Accordion("更多函数插件", open=True): - dropdown_fn_list = [k for k in crazy_fns.keys() if not crazy_fns[k].get("AsButton", True)] - with gr.Column(scale=1): - dropdown = gr.Dropdown(dropdown_fn_list, value=r"打开插件列表", label="").style(container=False) - with gr.Column(scale=1): - switchy_bt = gr.Button(r"请先从插件列表中选择", variant="secondary") - with gr.Row(): - with gr.Accordion("点击展开“文件上传区”。上传本地文件可供红色函数插件调用。", open=False) as area_file_up: - file_upload = gr.Files(label="任何文件, 但推荐上传压缩文件(zip, tar)", file_count="multiple") - with gr.Accordion("展开SysPrompt & 交互界面布局 & Github地址", open=(LAYOUT == "TOP-DOWN")): - system_prompt = gr.Textbox(show_label=True, placeholder=f"System Prompt", label="System prompt", value=initial_prompt) - top_p = gr.Slider(minimum=-0, maximum=1.0, value=1.0, step=0.01,interactive=True, label="Top-p (nucleus sampling)",) - temperature = gr.Slider(minimum=-0, maximum=2.0, value=1.0, step=0.01, interactive=True, label="Temperature",) - checkboxes = gr.CheckboxGroup(["基础功能区", "函数插件区", "底部输入区"], value=["基础功能区", "函数插件区"], label="显示/隐藏功能区") - gr.Markdown(description) - with gr.Accordion("备选输入区", open=True, visible=False) as area_input_secondary: - with gr.Row(): - txt2 = gr.Textbox(show_label=False, placeholder="Input question here.", label="输入区2").style(container=False) - with gr.Row(): - submitBtn2 = gr.Button("提交", variant="primary") - with gr.Row(): - resetBtn2 = gr.Button("重置", variant="secondary"); resetBtn.style(size="sm") - stopBtn2 = gr.Button("停止", variant="secondary"); stopBtn.style(size="sm") - # 功能区显示开关与功能区的互动 - def fn_area_visibility(a): - ret = {} - ret.update({area_basic_fn: gr.update(visible=("基础功能区" in a))}) - ret.update({area_crazy_fn: gr.update(visible=("函数插件区" in a))}) - ret.update({area_input_primary: gr.update(visible=("底部输入区" not in a))}) - ret.update({area_input_secondary: gr.update(visible=("底部输入区" in a))}) - if "底部输入区" in a: ret.update({txt: gr.update(value="")}) - return ret - checkboxes.select(fn_area_visibility, [checkboxes], [area_basic_fn, area_crazy_fn, area_input_primary, area_input_secondary, txt, txt2] ) - # 整理反复出现的控件句柄组合 - input_combo = [cookies, txt, txt2, top_p, temperature, chatbot, history, system_prompt] - output_combo = [cookies, chatbot, history, status] - predict_args = dict(fn=ArgsGeneralWrapper(predict), inputs=input_combo, outputs=output_combo) - # 提交按钮、重置按钮 - cancel_handles.append(txt.submit(**predict_args)) - cancel_handles.append(txt2.submit(**predict_args)) - cancel_handles.append(submitBtn.click(**predict_args)) - cancel_handles.append(submitBtn2.click(**predict_args)) - resetBtn.click(lambda: ([], [], "已重置"), None, [chatbot, history, status]) - resetBtn2.click(lambda: ([], [], "已重置"), None, [chatbot, history, status]) - # 基础功能区的回调函数注册 - for k in functional: - click_handle = functional[k]["Button"].click(fn=ArgsGeneralWrapper(predict), inputs=[*input_combo, gr.State(True), gr.State(k)], outputs=output_combo) - cancel_handles.append(click_handle) - # 文件上传区,接收文件后与chatbot的互动 - file_upload.upload(on_file_uploaded, [file_upload, chatbot, txt], [chatbot, txt]) - # 函数插件-固定按钮区 - for k in crazy_fns: - if not crazy_fns[k].get("AsButton", True): continue - click_handle = crazy_fns[k]["Button"].click(ArgsGeneralWrapper(crazy_fns[k]["Function"]), [*input_combo, gr.State(PORT)], output_combo) - click_handle.then(on_report_generated, [file_upload, chatbot], [file_upload, chatbot]) - cancel_handles.append(click_handle) - # 函数插件-下拉菜单与随变按钮的互动 - def on_dropdown_changed(k): - variant = crazy_fns[k]["Color"] if "Color" in crazy_fns[k] else "secondary" - return {switchy_bt: gr.update(value=k, variant=variant)} - dropdown.select(on_dropdown_changed, [dropdown], [switchy_bt] ) - # 随变按钮的回调函数注册 - def route(k, *args, **kwargs): - if k in [r"打开插件列表", r"请先从插件列表中选择"]: return - yield from ArgsGeneralWrapper(crazy_fns[k]["Function"])(*args, **kwargs) - click_handle = switchy_bt.click(route,[switchy_bt, *input_combo, gr.State(PORT)], output_combo) - click_handle.then(on_report_generated, [file_upload, chatbot], [file_upload, chatbot]) - # def expand_file_area(file_upload, area_file_up): - # if len(file_upload)>0: return {area_file_up: gr.update(open=True)} - # click_handle.then(expand_file_area, [file_upload, area_file_up], [area_file_up]) - cancel_handles.append(click_handle) - # 终止按钮的回调函数注册 - stopBtn.click(fn=None, inputs=None, outputs=None, cancels=cancel_handles) - stopBtn2.click(fn=None, inputs=None, outputs=None, cancels=cancel_handles) -# gradio的inbrowser触发不太稳定,回滚代码到原始的浏览器打开函数 -def auto_opentab_delay(): - import threading, webbrowser, time - print(f"如果浏览器没有自动打开,请复制并转到以下URL:") - print(f"\t(亮色主题): http://localhost:{PORT}") - print(f"\t(暗色主题): http://localhost:{PORT}/?__dark-theme=true") - def open(): - time.sleep(2) # 打开浏览器 - webbrowser.open_new_tab(f"http://localhost:{PORT}/?__dark-theme=true") - threading.Thread(target=open, name="open-browser", daemon=True).start() - threading.Thread(target=auto_update, name="self-upgrade", daemon=True).start() - -auto_opentab_delay() -demo.queue(concurrency_count=CONCURRENT_COUNT).launch(server_name="0.0.0.0", share=True, server_port=PORT, auth=AUTHENTICATION) diff --git a/spaces/Realcat/image-matching-webui/hloc/extractors/__init__.py b/spaces/Realcat/image-matching-webui/hloc/extractors/__init__.py deleted file mode 100644 index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000 diff --git a/spaces/Realcat/image-matching-webui/hloc/matchers/topicfm.py b/spaces/Realcat/image-matching-webui/hloc/matchers/topicfm.py deleted file mode 100644 index 6a1122147b8079021f0d0e501787d1343c588bd7..0000000000000000000000000000000000000000 --- a/spaces/Realcat/image-matching-webui/hloc/matchers/topicfm.py +++ /dev/null @@ -1,45 +0,0 @@ -import torch -import warnings -from ..utils.base_model import BaseModel -import sys -from pathlib import Path - -sys.path.append(str(Path(__file__).parent / "../../third_party")) -from TopicFM.src.models.topic_fm import TopicFM as _TopicFM -from TopicFM.src import get_model_cfg - -topicfm_path = Path(__file__).parent / "../../third_party/TopicFM" - - -class TopicFM(BaseModel): - default_conf = { - "weights": "outdoor", - "match_threshold": 0.2, - "n_sampling_topics": 4, - } - required_inputs = ["image0", "image1"] - - def _init(self, conf): - _conf = dict(get_model_cfg()) - _conf["match_coarse"]["thr"] = conf["match_threshold"] - _conf["coarse"]["n_samples"] = conf["n_sampling_topics"] - weight_path = topicfm_path / "pretrained/model_best.ckpt" - self.net = _TopicFM(config=_conf) - ckpt_dict = torch.load(weight_path, map_location="cpu") - self.net.load_state_dict(ckpt_dict["state_dict"]) - - def _forward(self, data): - data_ = { - "image0": data["image0"], - "image1": data["image1"], - } - self.net(data_) - mkpts0 = data_["mkpts0_f"] - mkpts1 = data_["mkpts1_f"] - mconf = data_["mconf"] - total_n_matches = len(data_["mkpts0_f"]) - - pred = {} - pred["keypoints0"], pred["keypoints1"] = mkpts0, mkpts1 - pred["mconf"] = mconf - return pred diff --git a/spaces/Realcat/image-matching-webui/hloc/utils/__init__.py b/spaces/Realcat/image-matching-webui/hloc/utils/__init__.py deleted file mode 100644 index 7c1e6e13ec689af7d948e5155ca773ee038df7bb..0000000000000000000000000000000000000000 --- a/spaces/Realcat/image-matching-webui/hloc/utils/__init__.py +++ /dev/null @@ -1,13 +0,0 @@ -import os -import logging -import sys -from .. import logger - - -def do_system(cmd, verbose=False): - if verbose: - logger.info(f"Run cmd: `{cmd}`.") - err = os.system(cmd) - if err: - logger.info(f"Run cmd err.") - sys.exit(err) diff --git a/spaces/Realcat/image-matching-webui/third_party/GlueStick/gluestick/models/superpoint.py b/spaces/Realcat/image-matching-webui/third_party/GlueStick/gluestick/models/superpoint.py deleted file mode 100644 index 19e66cdba41749a765829cce0ead608afb04964c..0000000000000000000000000000000000000000 --- a/spaces/Realcat/image-matching-webui/third_party/GlueStick/gluestick/models/superpoint.py +++ /dev/null @@ -1,242 +0,0 @@ -""" -Inference model of SuperPoint, a feature detector and descriptor. - -Described in: - SuperPoint: Self-Supervised Interest Point Detection and Description, - Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich, CVPRW 2018. - -Original code: github.com/MagicLeapResearch/SuperPointPretrainedNetwork -""" - -import torch -from torch import nn - -from .. import GLUESTICK_ROOT -from ..models.base_model import BaseModel - - -def simple_nms(scores, radius): - """Perform non maximum suppression on the heatmap using max-pooling. - This method does not suppress contiguous points that have the same score. - Args: - scores: the score heatmap of size `(B, H, W)`. - size: an interger scalar, the radius of the NMS window. - """ - - def max_pool(x): - return torch.nn.functional.max_pool2d( - x, kernel_size=radius * 2 + 1, stride=1, padding=radius - ) - - zeros = torch.zeros_like(scores) - max_mask = scores == max_pool(scores) - for _ in range(2): - supp_mask = max_pool(max_mask.float()) > 0 - supp_scores = torch.where(supp_mask, zeros, scores) - new_max_mask = supp_scores == max_pool(supp_scores) - max_mask = max_mask | (new_max_mask & (~supp_mask)) - return torch.where(max_mask, scores, zeros) - - -def remove_borders(keypoints, scores, b, h, w): - mask_h = (keypoints[:, 0] >= b) & (keypoints[:, 0] < (h - b)) - mask_w = (keypoints[:, 1] >= b) & (keypoints[:, 1] < (w - b)) - mask = mask_h & mask_w - return keypoints[mask], scores[mask] - - -def top_k_keypoints(keypoints, scores, k): - if k >= len(keypoints): - return keypoints, scores - scores, indices = torch.topk(scores, k, dim=0, sorted=True) - return keypoints[indices], scores - - -def sample_descriptors(keypoints, descriptors, s): - b, c, h, w = descriptors.shape - keypoints = keypoints - s / 2 + 0.5 - keypoints /= torch.tensor([(w * s - s / 2 - 0.5), (h * s - s / 2 - 0.5)],).to( - keypoints - )[None] - keypoints = keypoints * 2 - 1 # normalize to (-1, 1) - args = {"align_corners": True} if torch.__version__ >= "1.3" else {} - descriptors = torch.nn.functional.grid_sample( - descriptors, keypoints.view(b, 1, -1, 2), mode="bilinear", **args - ) - descriptors = torch.nn.functional.normalize( - descriptors.reshape(b, c, -1), p=2, dim=1 - ) - return descriptors - - -class SuperPoint(BaseModel): - default_conf = { - "has_detector": True, - "has_descriptor": True, - "descriptor_dim": 256, - # Inference - "return_all": False, - "sparse_outputs": True, - "nms_radius": 4, - "detection_threshold": 0.005, - "max_num_keypoints": -1, - "force_num_keypoints": False, - "remove_borders": 4, - } - required_data_keys = ["image"] - - def _init(self, conf): - self.relu = nn.ReLU(inplace=True) - self.pool = nn.MaxPool2d(kernel_size=2, stride=2) - c1, c2, c3, c4, c5 = 64, 64, 128, 128, 256 - - self.conv1a = nn.Conv2d(1, c1, kernel_size=3, stride=1, padding=1) - self.conv1b = nn.Conv2d(c1, c1, kernel_size=3, stride=1, padding=1) - self.conv2a = nn.Conv2d(c1, c2, kernel_size=3, stride=1, padding=1) - self.conv2b = nn.Conv2d(c2, c2, kernel_size=3, stride=1, padding=1) - self.conv3a = nn.Conv2d(c2, c3, kernel_size=3, stride=1, padding=1) - self.conv3b = nn.Conv2d(c3, c3, kernel_size=3, stride=1, padding=1) - self.conv4a = nn.Conv2d(c3, c4, kernel_size=3, stride=1, padding=1) - self.conv4b = nn.Conv2d(c4, c4, kernel_size=3, stride=1, padding=1) - - if conf.has_detector: - self.convPa = nn.Conv2d(c4, c5, kernel_size=3, stride=1, padding=1) - self.convPb = nn.Conv2d(c5, 65, kernel_size=1, stride=1, padding=0) - - if conf.has_descriptor: - self.convDa = nn.Conv2d(c4, c5, kernel_size=3, stride=1, padding=1) - self.convDb = nn.Conv2d( - c5, conf.descriptor_dim, kernel_size=1, stride=1, padding=0 - ) - - path = GLUESTICK_ROOT / "resources" / "weights" / "superpoint_v1.pth" - self.load_state_dict(torch.load(str(path)), strict=False) - - def _forward(self, data): - image = data["image"] - if image.shape[1] == 3: # RGB - scale = image.new_tensor([0.299, 0.587, 0.114]).view(1, 3, 1, 1) - image = (image * scale).sum(1, keepdim=True) - - # Shared Encoder - x = self.relu(self.conv1a(image)) - x = self.relu(self.conv1b(x)) - x = self.pool(x) - x = self.relu(self.conv2a(x)) - x = self.relu(self.conv2b(x)) - x = self.pool(x) - x = self.relu(self.conv3a(x)) - x = self.relu(self.conv3b(x)) - x = self.pool(x) - x = self.relu(self.conv4a(x)) - x = self.relu(self.conv4b(x)) - - pred = {} - if self.conf.has_detector and self.conf.max_num_keypoints != 0: - # Compute the dense keypoint scores - cPa = self.relu(self.convPa(x)) - scores = self.convPb(cPa) - scores = torch.nn.functional.softmax(scores, 1)[:, :-1] - b, c, h, w = scores.shape - scores = scores.permute(0, 2, 3, 1).reshape(b, h, w, 8, 8) - scores = scores.permute(0, 1, 3, 2, 4).reshape(b, h * 8, w * 8) - pred["keypoint_scores"] = dense_scores = scores - if self.conf.has_descriptor: - # Compute the dense descriptors - cDa = self.relu(self.convDa(x)) - all_desc = self.convDb(cDa) - all_desc = torch.nn.functional.normalize(all_desc, p=2, dim=1) - pred["descriptors"] = all_desc - - if self.conf.max_num_keypoints == 0: # Predict dense descriptors only - b_size = len(image) - device = image.device - return { - "keypoints": torch.empty(b_size, 0, 2, device=device), - "keypoint_scores": torch.empty(b_size, 0, device=device), - "descriptors": torch.empty( - b_size, self.conf.descriptor_dim, 0, device=device - ), - "all_descriptors": all_desc, - } - - if self.conf.sparse_outputs: - assert self.conf.has_detector and self.conf.has_descriptor - - scores = simple_nms(scores, self.conf.nms_radius) - - # Extract keypoints - keypoints = [ - torch.nonzero(s > self.conf.detection_threshold) for s in scores - ] - scores = [s[tuple(k.t())] for s, k in zip(scores, keypoints)] - - # Discard keypoints near the image borders - keypoints, scores = list( - zip( - *[ - remove_borders(k, s, self.conf.remove_borders, h * 8, w * 8) - for k, s in zip(keypoints, scores) - ] - ) - ) - - # Keep the k keypoints with highest score - if self.conf.max_num_keypoints > 0: - keypoints, scores = list( - zip( - *[ - top_k_keypoints(k, s, self.conf.max_num_keypoints) - for k, s in zip(keypoints, scores) - ] - ) - ) - - # Convert (h, w) to (x, y) - keypoints = [torch.flip(k, [1]).float() for k in keypoints] - - if self.conf.force_num_keypoints: - _, _, h, w = data["image"].shape - assert self.conf.max_num_keypoints > 0 - scores = list(scores) - for i in range(len(keypoints)): - k, s = keypoints[i], scores[i] - missing = self.conf.max_num_keypoints - len(k) - if missing > 0: - new_k = torch.rand(missing, 2).to(k) - new_k = new_k * k.new_tensor([[w - 1, h - 1]]) - new_s = torch.zeros(missing).to(s) - keypoints[i] = torch.cat([k, new_k], 0) - scores[i] = torch.cat([s, new_s], 0) - - # Extract descriptors - desc = [ - sample_descriptors(k[None], d[None], 8)[0] - for k, d in zip(keypoints, all_desc) - ] - - if (len(keypoints) == 1) or self.conf.force_num_keypoints: - keypoints = torch.stack(keypoints, 0) - scores = torch.stack(scores, 0) - desc = torch.stack(desc, 0) - - pred = { - "keypoints": keypoints, - "keypoint_scores": scores, - "descriptors": desc, - } - - if self.conf.return_all: - pred["all_descriptors"] = all_desc - pred["dense_score"] = dense_scores - else: - del all_desc - torch.cuda.empty_cache() - - return pred - - def loss(self, pred, data): - raise NotImplementedError - - def metrics(self, pred, data): - raise NotImplementedError diff --git a/spaces/Rebskii/rvc-models-test/infer_pack/models_onnx.py b/spaces/Rebskii/rvc-models-test/infer_pack/models_onnx.py deleted file mode 100644 index 3cdae2f7f8591a1e43b1d8520baa37b7e9744d72..0000000000000000000000000000000000000000 --- a/spaces/Rebskii/rvc-models-test/infer_pack/models_onnx.py +++ /dev/null @@ -1,849 +0,0 @@ -import math, pdb, os -from time import time as ttime -import torch -from torch import nn -from torch.nn import functional as F -from infer_pack import modules -from infer_pack import attentions -from infer_pack import commons -from infer_pack.commons import init_weights, get_padding -from torch.nn import Conv1d, ConvTranspose1d, AvgPool1d, Conv2d -from torch.nn.utils import weight_norm, remove_weight_norm, spectral_norm -from infer_pack.commons import init_weights -import numpy as np -from infer_pack import commons - - -class TextEncoder256(nn.Module): - def __init__( - self, - out_channels, - hidden_channels, - filter_channels, - n_heads, - n_layers, - kernel_size, - p_dropout, - f0=True, - ): - super().__init__() - self.out_channels = out_channels - self.hidden_channels = hidden_channels - self.filter_channels = filter_channels - self.n_heads = n_heads - self.n_layers = n_layers - self.kernel_size = kernel_size - self.p_dropout = p_dropout - self.emb_phone = nn.Linear(256, hidden_channels) - self.lrelu = nn.LeakyReLU(0.1, inplace=True) - if f0 == True: - self.emb_pitch = nn.Embedding(256, hidden_channels) # pitch 256 - self.encoder = attentions.Encoder( - hidden_channels, filter_channels, n_heads, n_layers, kernel_size, p_dropout - ) - self.proj = nn.Conv1d(hidden_channels, out_channels * 2, 1) - - def forward(self, phone, pitch, lengths): - if pitch == None: - x = self.emb_phone(phone) - else: - x = self.emb_phone(phone) + self.emb_pitch(pitch) - x = x * math.sqrt(self.hidden_channels) # [b, t, h] - x = self.lrelu(x) - x = torch.transpose(x, 1, -1) # [b, h, t] - x_mask = torch.unsqueeze(commons.sequence_mask(lengths, x.size(2)), 1).to( - x.dtype - ) - x = self.encoder(x * x_mask, x_mask) - stats = self.proj(x) * x_mask - - m, logs = torch.split(stats, self.out_channels, dim=1) - return m, logs, x_mask - - -class TextEncoder256Sim(nn.Module): - def __init__( - self, - out_channels, - hidden_channels, - filter_channels, - n_heads, - n_layers, - kernel_size, - p_dropout, - f0=True, - ): - super().__init__() - self.out_channels = out_channels - self.hidden_channels = hidden_channels - self.filter_channels = filter_channels - self.n_heads = n_heads - self.n_layers = n_layers - self.kernel_size = kernel_size - self.p_dropout = p_dropout - self.emb_phone = nn.Linear(256, hidden_channels) - self.lrelu = nn.LeakyReLU(0.1, inplace=True) - if f0 == True: - self.emb_pitch = nn.Embedding(256, hidden_channels) # pitch 256 - self.encoder = attentions.Encoder( - hidden_channels, filter_channels, n_heads, n_layers, kernel_size, p_dropout - ) - self.proj = nn.Conv1d(hidden_channels, out_channels, 1) - - def forward(self, phone, pitch, lengths): - if pitch == None: - x = self.emb_phone(phone) - else: - x = self.emb_phone(phone) + self.emb_pitch(pitch) - x = x * math.sqrt(self.hidden_channels) # [b, t, h] - x = self.lrelu(x) - x = torch.transpose(x, 1, -1) # [b, h, t] - x_mask = torch.unsqueeze(commons.sequence_mask(lengths, x.size(2)), 1).to( - x.dtype - ) - x = self.encoder(x * x_mask, x_mask) - x = self.proj(x) * x_mask - return x, x_mask - - -class ResidualCouplingBlock(nn.Module): - def __init__( - self, - channels, - hidden_channels, - kernel_size, - dilation_rate, - n_layers, - n_flows=4, - gin_channels=0, - ): - super().__init__() - self.channels = channels - self.hidden_channels = hidden_channels - self.kernel_size = kernel_size - self.dilation_rate = dilation_rate - self.n_layers = n_layers - self.n_flows = n_flows - self.gin_channels = gin_channels - - self.flows = nn.ModuleList() - for i in range(n_flows): - self.flows.append( - modules.ResidualCouplingLayer( - channels, - hidden_channels, - kernel_size, - dilation_rate, - n_layers, - gin_channels=gin_channels, - mean_only=True, - ) - ) - self.flows.append(modules.Flip()) - - def forward(self, x, x_mask, g=None, reverse=False): - if not reverse: - for flow in self.flows: - x, _ = flow(x, x_mask, g=g, reverse=reverse) - else: - for flow in reversed(self.flows): - x = flow(x, x_mask, g=g, reverse=reverse) - return x - - def remove_weight_norm(self): - for i in range(self.n_flows): - self.flows[i * 2].remove_weight_norm() - - -class PosteriorEncoder(nn.Module): - def __init__( - self, - in_channels, - out_channels, - hidden_channels, - kernel_size, - dilation_rate, - n_layers, - gin_channels=0, - ): - super().__init__() - self.in_channels = in_channels - self.out_channels = out_channels - self.hidden_channels = hidden_channels - self.kernel_size = kernel_size - self.dilation_rate = dilation_rate - self.n_layers = n_layers - self.gin_channels = gin_channels - - self.pre = nn.Conv1d(in_channels, hidden_channels, 1) - self.enc = modules.WN( - hidden_channels, - kernel_size, - dilation_rate, - n_layers, - gin_channels=gin_channels, - ) - self.proj = nn.Conv1d(hidden_channels, out_channels * 2, 1) - - def forward(self, x, x_lengths, g=None): - x_mask = torch.unsqueeze(commons.sequence_mask(x_lengths, x.size(2)), 1).to( - x.dtype - ) - x = self.pre(x) * x_mask - x = self.enc(x, x_mask, g=g) - stats = self.proj(x) * x_mask - m, logs = torch.split(stats, self.out_channels, dim=1) - z = (m + torch.randn_like(m) * torch.exp(logs)) * x_mask - return z, m, logs, x_mask - - def remove_weight_norm(self): - self.enc.remove_weight_norm() - - -class Generator(torch.nn.Module): - def __init__( - self, - initial_channel, - resblock, - resblock_kernel_sizes, - resblock_dilation_sizes, - upsample_rates, - upsample_initial_channel, - upsample_kernel_sizes, - gin_channels=0, - ): - super(Generator, self).__init__() - self.num_kernels = len(resblock_kernel_sizes) - self.num_upsamples = len(upsample_rates) - self.conv_pre = Conv1d( - initial_channel, upsample_initial_channel, 7, 1, padding=3 - ) - resblock = modules.ResBlock1 if resblock == "1" else modules.ResBlock2 - - self.ups = nn.ModuleList() - for i, (u, k) in enumerate(zip(upsample_rates, upsample_kernel_sizes)): - self.ups.append( - weight_norm( - ConvTranspose1d( - upsample_initial_channel // (2**i), - upsample_initial_channel // (2 ** (i + 1)), - k, - u, - padding=(k - u) // 2, - ) - ) - ) - - self.resblocks = nn.ModuleList() - for i in range(len(self.ups)): - ch = upsample_initial_channel // (2 ** (i + 1)) - for j, (k, d) in enumerate( - zip(resblock_kernel_sizes, resblock_dilation_sizes) - ): - self.resblocks.append(resblock(ch, k, d)) - - self.conv_post = Conv1d(ch, 1, 7, 1, padding=3, bias=False) - self.ups.apply(init_weights) - - if gin_channels != 0: - self.cond = nn.Conv1d(gin_channels, upsample_initial_channel, 1) - - def forward(self, x, g=None): - x = self.conv_pre(x) - if g is not None: - x = x + self.cond(g) - - for i in range(self.num_upsamples): - x = F.leaky_relu(x, modules.LRELU_SLOPE) - x = self.ups[i](x) - xs = None - for j in range(self.num_kernels): - if xs is None: - xs = self.resblocks[i * self.num_kernels + j](x) - else: - xs += self.resblocks[i * self.num_kernels + j](x) - x = xs / self.num_kernels - x = F.leaky_relu(x) - x = self.conv_post(x) - x = torch.tanh(x) - - return x - - def remove_weight_norm(self): - for l in self.ups: - remove_weight_norm(l) - for l in self.resblocks: - l.remove_weight_norm() - - -class SineGen(torch.nn.Module): - """Definition of sine generator - SineGen(samp_rate, harmonic_num = 0, - sine_amp = 0.1, noise_std = 0.003, - voiced_threshold = 0, - flag_for_pulse=False) - samp_rate: sampling rate in Hz - harmonic_num: number of harmonic overtones (default 0) - sine_amp: amplitude of sine-wavefrom (default 0.1) - noise_std: std of Gaussian noise (default 0.003) - voiced_thoreshold: F0 threshold for U/V classification (default 0) - flag_for_pulse: this SinGen is used inside PulseGen (default False) - Note: when flag_for_pulse is True, the first time step of a voiced - segment is always sin(np.pi) or cos(0) - """ - - def __init__( - self, - samp_rate, - harmonic_num=0, - sine_amp=0.1, - noise_std=0.003, - voiced_threshold=0, - flag_for_pulse=False, - ): - super(SineGen, self).__init__() - self.sine_amp = sine_amp - self.noise_std = noise_std - self.harmonic_num = harmonic_num - self.dim = self.harmonic_num + 1 - self.sampling_rate = samp_rate - self.voiced_threshold = voiced_threshold - - def _f02uv(self, f0): - # generate uv signal - uv = torch.ones_like(f0) - uv = uv * (f0 > self.voiced_threshold) - return uv - - def forward(self, f0, upp): - """sine_tensor, uv = forward(f0) - input F0: tensor(batchsize=1, length, dim=1) - f0 for unvoiced steps should be 0 - output sine_tensor: tensor(batchsize=1, length, dim) - output uv: tensor(batchsize=1, length, 1) - """ - with torch.no_grad(): - f0 = f0[:, None].transpose(1, 2) - f0_buf = torch.zeros(f0.shape[0], f0.shape[1], self.dim, device=f0.device) - # fundamental component - f0_buf[:, :, 0] = f0[:, :, 0] - for idx in np.arange(self.harmonic_num): - f0_buf[:, :, idx + 1] = f0_buf[:, :, 0] * ( - idx + 2 - ) # idx + 2: the (idx+1)-th overtone, (idx+2)-th harmonic - rad_values = (f0_buf / self.sampling_rate) % 1 ###%1意味着n_har的乘积无法后处理优化 - rand_ini = torch.rand( - f0_buf.shape[0], f0_buf.shape[2], device=f0_buf.device - ) - rand_ini[:, 0] = 0 - rad_values[:, 0, :] = rad_values[:, 0, :] + rand_ini - tmp_over_one = torch.cumsum(rad_values, 1) # % 1 #####%1意味着后面的cumsum无法再优化 - tmp_over_one *= upp - tmp_over_one = F.interpolate( - tmp_over_one.transpose(2, 1), - scale_factor=upp, - mode="linear", - align_corners=True, - ).transpose(2, 1) - rad_values = F.interpolate( - rad_values.transpose(2, 1), scale_factor=upp, mode="nearest" - ).transpose( - 2, 1 - ) ####### - tmp_over_one %= 1 - tmp_over_one_idx = (tmp_over_one[:, 1:, :] - tmp_over_one[:, :-1, :]) < 0 - cumsum_shift = torch.zeros_like(rad_values) - cumsum_shift[:, 1:, :] = tmp_over_one_idx * -1.0 - sine_waves = torch.sin( - torch.cumsum(rad_values + cumsum_shift, dim=1) * 2 * np.pi - ) - sine_waves = sine_waves * self.sine_amp - uv = self._f02uv(f0) - uv = F.interpolate( - uv.transpose(2, 1), scale_factor=upp, mode="nearest" - ).transpose(2, 1) - noise_amp = uv * self.noise_std + (1 - uv) * self.sine_amp / 3 - noise = noise_amp * torch.randn_like(sine_waves) - sine_waves = sine_waves * uv + noise - return sine_waves, uv, noise - - -class SourceModuleHnNSF(torch.nn.Module): - """SourceModule for hn-nsf - SourceModule(sampling_rate, harmonic_num=0, sine_amp=0.1, - add_noise_std=0.003, voiced_threshod=0) - sampling_rate: sampling_rate in Hz - harmonic_num: number of harmonic above F0 (default: 0) - sine_amp: amplitude of sine source signal (default: 0.1) - add_noise_std: std of additive Gaussian noise (default: 0.003) - note that amplitude of noise in unvoiced is decided - by sine_amp - voiced_threshold: threhold to set U/V given F0 (default: 0) - Sine_source, noise_source = SourceModuleHnNSF(F0_sampled) - F0_sampled (batchsize, length, 1) - Sine_source (batchsize, length, 1) - noise_source (batchsize, length 1) - uv (batchsize, length, 1) - """ - - def __init__( - self, - sampling_rate, - harmonic_num=0, - sine_amp=0.1, - add_noise_std=0.003, - voiced_threshod=0, - is_half=True, - ): - super(SourceModuleHnNSF, self).__init__() - - self.sine_amp = sine_amp - self.noise_std = add_noise_std - self.is_half = is_half - # to produce sine waveforms - self.l_sin_gen = SineGen( - sampling_rate, harmonic_num, sine_amp, add_noise_std, voiced_threshod - ) - - # to merge source harmonics into a single excitation - self.l_linear = torch.nn.Linear(harmonic_num + 1, 1) - self.l_tanh = torch.nn.Tanh() - - def forward(self, x, upp=None): - sine_wavs, uv, _ = self.l_sin_gen(x, upp) - if self.is_half: - sine_wavs = sine_wavs.half() - sine_merge = self.l_tanh(self.l_linear(sine_wavs)) - return sine_merge, None, None # noise, uv - - -class GeneratorNSF(torch.nn.Module): - def __init__( - self, - initial_channel, - resblock, - resblock_kernel_sizes, - resblock_dilation_sizes, - upsample_rates, - upsample_initial_channel, - upsample_kernel_sizes, - gin_channels, - sr, - is_half=False, - ): - super(GeneratorNSF, self).__init__() - self.num_kernels = len(resblock_kernel_sizes) - self.num_upsamples = len(upsample_rates) - - self.f0_upsamp = torch.nn.Upsample(scale_factor=np.prod(upsample_rates)) - self.m_source = SourceModuleHnNSF( - sampling_rate=sr, harmonic_num=0, is_half=is_half - ) - self.noise_convs = nn.ModuleList() - self.conv_pre = Conv1d( - initial_channel, upsample_initial_channel, 7, 1, padding=3 - ) - resblock = modules.ResBlock1 if resblock == "1" else modules.ResBlock2 - - self.ups = nn.ModuleList() - for i, (u, k) in enumerate(zip(upsample_rates, upsample_kernel_sizes)): - c_cur = upsample_initial_channel // (2 ** (i + 1)) - self.ups.append( - weight_norm( - ConvTranspose1d( - upsample_initial_channel // (2**i), - upsample_initial_channel // (2 ** (i + 1)), - k, - u, - padding=(k - u) // 2, - ) - ) - ) - if i + 1 < len(upsample_rates): - stride_f0 = np.prod(upsample_rates[i + 1 :]) - self.noise_convs.append( - Conv1d( - 1, - c_cur, - kernel_size=stride_f0 * 2, - stride=stride_f0, - padding=stride_f0 // 2, - ) - ) - else: - self.noise_convs.append(Conv1d(1, c_cur, kernel_size=1)) - - self.resblocks = nn.ModuleList() - for i in range(len(self.ups)): - ch = upsample_initial_channel // (2 ** (i + 1)) - for j, (k, d) in enumerate( - zip(resblock_kernel_sizes, resblock_dilation_sizes) - ): - self.resblocks.append(resblock(ch, k, d)) - - self.conv_post = Conv1d(ch, 1, 7, 1, padding=3, bias=False) - self.ups.apply(init_weights) - - if gin_channels != 0: - self.cond = nn.Conv1d(gin_channels, upsample_initial_channel, 1) - - self.upp = np.prod(upsample_rates) - - def forward(self, x, f0, g=None): - har_source, noi_source, uv = self.m_source(f0, self.upp) - har_source = har_source.transpose(1, 2) - x = self.conv_pre(x) - if g is not None: - x = x + self.cond(g) - - for i in range(self.num_upsamples): - x = F.leaky_relu(x, modules.LRELU_SLOPE) - x = self.ups[i](x) - x_source = self.noise_convs[i](har_source) - x = x + x_source - xs = None - for j in range(self.num_kernels): - if xs is None: - xs = self.resblocks[i * self.num_kernels + j](x) - else: - xs += self.resblocks[i * self.num_kernels + j](x) - x = xs / self.num_kernels - x = F.leaky_relu(x) - x = self.conv_post(x) - x = torch.tanh(x) - return x - - def remove_weight_norm(self): - for l in self.ups: - remove_weight_norm(l) - for l in self.resblocks: - l.remove_weight_norm() - - -sr2sr = { - "32k": 32000, - "40k": 40000, - "48k": 48000, -} - - -class SynthesizerTrnMs256NSFsid(nn.Module): - def __init__( - self, - spec_channels, - segment_size, - inter_channels, - hidden_channels, - filter_channels, - n_heads, - n_layers, - kernel_size, - p_dropout, - resblock, - resblock_kernel_sizes, - resblock_dilation_sizes, - upsample_rates, - upsample_initial_channel, - upsample_kernel_sizes, - spk_embed_dim, - gin_channels, - sr, - **kwargs - ): - super().__init__() - if type(sr) == type("strr"): - sr = sr2sr[sr] - self.spec_channels = spec_channels - self.inter_channels = inter_channels - self.hidden_channels = hidden_channels - self.filter_channels = filter_channels - self.n_heads = n_heads - self.n_layers = n_layers - self.kernel_size = kernel_size - self.p_dropout = p_dropout - self.resblock = resblock - self.resblock_kernel_sizes = resblock_kernel_sizes - self.resblock_dilation_sizes = resblock_dilation_sizes - self.upsample_rates = upsample_rates - self.upsample_initial_channel = upsample_initial_channel - self.upsample_kernel_sizes = upsample_kernel_sizes - self.segment_size = segment_size - self.gin_channels = gin_channels - # self.hop_length = hop_length# - self.spk_embed_dim = spk_embed_dim - self.enc_p = TextEncoder256( - inter_channels, - hidden_channels, - filter_channels, - n_heads, - n_layers, - kernel_size, - p_dropout, - ) - self.dec = GeneratorNSF( - inter_channels, - resblock, - resblock_kernel_sizes, - resblock_dilation_sizes, - upsample_rates, - upsample_initial_channel, - upsample_kernel_sizes, - gin_channels=gin_channels, - sr=sr, - is_half=kwargs["is_half"], - ) - self.enc_q = PosteriorEncoder( - spec_channels, - inter_channels, - hidden_channels, - 5, - 1, - 16, - gin_channels=gin_channels, - ) - self.flow = ResidualCouplingBlock( - inter_channels, hidden_channels, 5, 1, 3, gin_channels=gin_channels - ) - self.emb_g = nn.Embedding(self.spk_embed_dim, gin_channels) - print("gin_channels:", gin_channels, "self.spk_embed_dim:", self.spk_embed_dim) - - def remove_weight_norm(self): - self.dec.remove_weight_norm() - self.flow.remove_weight_norm() - self.enc_q.remove_weight_norm() - - def forward(self, phone, phone_lengths, pitch, nsff0, sid, rnd, max_len=None): - g = self.emb_g(sid).unsqueeze(-1) - m_p, logs_p, x_mask = self.enc_p(phone, pitch, phone_lengths) - z_p = (m_p + torch.exp(logs_p) * rnd) * x_mask - z = self.flow(z_p, x_mask, g=g, reverse=True) - o = self.dec((z * x_mask)[:, :, :max_len], nsff0, g=g) - return o - - -class SynthesizerTrnMs256NSFsid_sim(nn.Module): - """ - Synthesizer for Training - """ - - def __init__( - self, - spec_channels, - segment_size, - inter_channels, - hidden_channels, - filter_channels, - n_heads, - n_layers, - kernel_size, - p_dropout, - resblock, - resblock_kernel_sizes, - resblock_dilation_sizes, - upsample_rates, - upsample_initial_channel, - upsample_kernel_sizes, - spk_embed_dim, - # hop_length, - gin_channels=0, - use_sdp=True, - **kwargs - ): - super().__init__() - self.spec_channels = spec_channels - self.inter_channels = inter_channels - self.hidden_channels = hidden_channels - self.filter_channels = filter_channels - self.n_heads = n_heads - self.n_layers = n_layers - self.kernel_size = kernel_size - self.p_dropout = p_dropout - self.resblock = resblock - self.resblock_kernel_sizes = resblock_kernel_sizes - self.resblock_dilation_sizes = resblock_dilation_sizes - self.upsample_rates = upsample_rates - self.upsample_initial_channel = upsample_initial_channel - self.upsample_kernel_sizes = upsample_kernel_sizes - self.segment_size = segment_size - self.gin_channels = gin_channels - # self.hop_length = hop_length# - self.spk_embed_dim = spk_embed_dim - self.enc_p = TextEncoder256Sim( - inter_channels, - hidden_channels, - filter_channels, - n_heads, - n_layers, - kernel_size, - p_dropout, - ) - self.dec = GeneratorNSF( - inter_channels, - resblock, - resblock_kernel_sizes, - resblock_dilation_sizes, - upsample_rates, - upsample_initial_channel, - upsample_kernel_sizes, - gin_channels=gin_channels, - is_half=kwargs["is_half"], - ) - - self.flow = ResidualCouplingBlock( - inter_channels, hidden_channels, 5, 1, 3, gin_channels=gin_channels - ) - self.emb_g = nn.Embedding(self.spk_embed_dim, gin_channels) - print("gin_channels:", gin_channels, "self.spk_embed_dim:", self.spk_embed_dim) - - def remove_weight_norm(self): - self.dec.remove_weight_norm() - self.flow.remove_weight_norm() - self.enc_q.remove_weight_norm() - - def forward( - self, phone, phone_lengths, pitch, pitchf, ds, max_len=None - ): # y是spec不需要了现在 - g = self.emb_g(ds.unsqueeze(0)).unsqueeze(-1) # [b, 256, 1]##1是t,广播的 - x, x_mask = self.enc_p(phone, pitch, phone_lengths) - x = self.flow(x, x_mask, g=g, reverse=True) - o = self.dec((x * x_mask)[:, :, :max_len], pitchf, g=g) - return o - - -class MultiPeriodDiscriminator(torch.nn.Module): - def __init__(self, use_spectral_norm=False): - super(MultiPeriodDiscriminator, self).__init__() - periods = [2, 3, 5, 7, 11, 17] - # periods = [3, 5, 7, 11, 17, 23, 37] - - discs = [DiscriminatorS(use_spectral_norm=use_spectral_norm)] - discs = discs + [ - DiscriminatorP(i, use_spectral_norm=use_spectral_norm) for i in periods - ] - self.discriminators = nn.ModuleList(discs) - - def forward(self, y, y_hat): - y_d_rs = [] # - y_d_gs = [] - fmap_rs = [] - fmap_gs = [] - for i, d in enumerate(self.discriminators): - y_d_r, fmap_r = d(y) - y_d_g, fmap_g = d(y_hat) - # for j in range(len(fmap_r)): - # print(i,j,y.shape,y_hat.shape,fmap_r[j].shape,fmap_g[j].shape) - y_d_rs.append(y_d_r) - y_d_gs.append(y_d_g) - fmap_rs.append(fmap_r) - fmap_gs.append(fmap_g) - - return y_d_rs, y_d_gs, fmap_rs, fmap_gs - - -class DiscriminatorS(torch.nn.Module): - def __init__(self, use_spectral_norm=False): - super(DiscriminatorS, self).__init__() - norm_f = weight_norm if use_spectral_norm == False else spectral_norm - self.convs = nn.ModuleList( - [ - norm_f(Conv1d(1, 16, 15, 1, padding=7)), - norm_f(Conv1d(16, 64, 41, 4, groups=4, padding=20)), - norm_f(Conv1d(64, 256, 41, 4, groups=16, padding=20)), - norm_f(Conv1d(256, 1024, 41, 4, groups=64, padding=20)), - norm_f(Conv1d(1024, 1024, 41, 4, groups=256, padding=20)), - norm_f(Conv1d(1024, 1024, 5, 1, padding=2)), - ] - ) - self.conv_post = norm_f(Conv1d(1024, 1, 3, 1, padding=1)) - - def forward(self, x): - fmap = [] - - for l in self.convs: - x = l(x) - x = F.leaky_relu(x, modules.LRELU_SLOPE) - fmap.append(x) - x = self.conv_post(x) - fmap.append(x) - x = torch.flatten(x, 1, -1) - - return x, fmap - - -class DiscriminatorP(torch.nn.Module): - def __init__(self, period, kernel_size=5, stride=3, use_spectral_norm=False): - super(DiscriminatorP, self).__init__() - self.period = period - self.use_spectral_norm = use_spectral_norm - norm_f = weight_norm if use_spectral_norm == False else spectral_norm - self.convs = nn.ModuleList( - [ - norm_f( - Conv2d( - 1, - 32, - (kernel_size, 1), - (stride, 1), - padding=(get_padding(kernel_size, 1), 0), - ) - ), - norm_f( - Conv2d( - 32, - 128, - (kernel_size, 1), - (stride, 1), - padding=(get_padding(kernel_size, 1), 0), - ) - ), - norm_f( - Conv2d( - 128, - 512, - (kernel_size, 1), - (stride, 1), - padding=(get_padding(kernel_size, 1), 0), - ) - ), - norm_f( - Conv2d( - 512, - 1024, - (kernel_size, 1), - (stride, 1), - padding=(get_padding(kernel_size, 1), 0), - ) - ), - norm_f( - Conv2d( - 1024, - 1024, - (kernel_size, 1), - 1, - padding=(get_padding(kernel_size, 1), 0), - ) - ), - ] - ) - self.conv_post = norm_f(Conv2d(1024, 1, (3, 1), 1, padding=(1, 0))) - - def forward(self, x): - fmap = [] - - # 1d to 2d - b, c, t = x.shape - if t % self.period != 0: # pad first - n_pad = self.period - (t % self.period) - x = F.pad(x, (0, n_pad), "reflect") - t = t + n_pad - x = x.view(b, c, t // self.period, self.period) - - for l in self.convs: - x = l(x) - x = F.leaky_relu(x, modules.LRELU_SLOPE) - fmap.append(x) - x = self.conv_post(x) - fmap.append(x) - x = torch.flatten(x, 1, -1) - - return x, fmap diff --git a/spaces/ReneeYe/ConST-speech2text-translator/README.md b/spaces/ReneeYe/ConST-speech2text-translator/README.md deleted file mode 100644 index ac53a5d7dd47463cb5b407ddf141b74edf4b607a..0000000000000000000000000000000000000000 --- a/spaces/ReneeYe/ConST-speech2text-translator/README.md +++ /dev/null @@ -1,13 +0,0 @@ ---- -title: ConST Speech2text Translator -emoji: 🎙️📖 -colorFrom: yellow -colorTo: purple -sdk: gradio -sdk_version: 2.9.4 -app_file: app.py -pinned: false -license: afl-3.0 ---- - -Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference diff --git a/spaces/RoCobo/WiggleGAN/WiggleResults/split.py b/spaces/RoCobo/WiggleGAN/WiggleResults/split.py deleted file mode 100644 index 1bf1119f63aec806400052a9a1c7700771ea136e..0000000000000000000000000000000000000000 --- a/spaces/RoCobo/WiggleGAN/WiggleResults/split.py +++ /dev/null @@ -1,117 +0,0 @@ -import os -from PIL import Image -import argparse -import imageio -import numpy as np -import cv2 -import mediapy as media - -parser = argparse.ArgumentParser(description='change to useful name') -parser.add_argument('--dim', default=256, type=int, help='dimention image') -args = parser.parse_args() - -path = "." -ROOT_DIR = os.path.dirname(__file__) -dirs = os.listdir(ROOT_DIR) - -dim = args.dim - - -def createVideo(array_pil, space_time = 5, name = "out_"): - - ar_im = [] - for j in range(3): - for image in array_pil: - for i in range (0,space_time): - ar_im.append(np.array(image)) - - media.write_video(name +".mp4" , ar_im, fps=30, qp=18) - - -def gif_order (data, center=True): - gif = [] - base = 1 - - #primera mitad - i = int((len(data)-2)/2) - while(i > base ): - gif.append(data[i]) - #print(i) - i -= 1 - - - #el del medio izq - gif.append(data[int((len(data)-2)/2) + 1]) - #print(int((len(data)-2)/2) + 1) - - #el inicial - if center: - gif.append(data[0]) - #print(0) - - # el del medio der - gif.append(data[int((len(data) - 2) / 2) + 2]) - #print(int((len(data) - 2) / 2) +2) - #segunda mitad - i = int((len(data)-2)/2) + 3 - while (i < len(data)): - gif.append(data[i]) - #print(i) - i += 1 - #print("---------") - - invertedgif = gif[::-1] - invertedgif = invertedgif[1:] - - gif = gif[1:] + invertedgif - #print(gif) - #for image in gif: - # image.show() - #gsdfgsfgf - return gif - -print(" [*] Init gif generations!") -# This would print all the files and directories -for file in dirs: - if ".jpg" in file or ".png" in file: - rowImages = [] - im = Image.open("./" + ROOT_DIR + '/' + file) - width, height = im.size - #im = im.convert('P') - - #CROP (left, top, right, bottom) - - pointleft = 3 - pointtop = 3 - i = 0 - while (pointtop < height): - while (pointleft < width): - im1 = im.crop((pointleft, pointtop, dim+pointleft, dim+pointtop)) - #h1 = im1.size[0] * 4 - #im1 = im1.resize([h1,h1], Image.Resampling.LANCZOS) - rowImages.append(im1) - #im1.show() - pointleft+= dim+4 - # Ya tengo todas las imagenes podria hacer el gif aca - rowImages = gif_order(rowImages,center=False) - createVideo(rowImages, 3, name = "./" + ROOT_DIR + '/' + file[:-4] + "_" + str(i)) - - name = "./" + ROOT_DIR + '/' + file[:-4] + "_" + str(i) + '.gif' - rowImages[0].save(name, save_all=True,format='GIF', append_images=rowImages[1:], optimize=True, duration=100, loop=0) - - - #print(rowImages) - pointtop += dim + 4 - pointleft = 3 - rowImages = [] - i+=1 - #im2 = im.crop((width / 2, 0, width, height)) - # im2.show() - - #im1.save("./2" + file[:-4] + ".png") - #im2.save("./" + file[:-4] + ".png") - - - # Deleted - #os.remove("data/" + file) -print(" [*] End gif generations!") \ No newline at end of file diff --git a/spaces/Robert001/UniControl-Demo/annotator/uniformer/mmseg/apis/train.py b/spaces/Robert001/UniControl-Demo/annotator/uniformer/mmseg/apis/train.py deleted file mode 100644 index 63f319a919ff023931a6a663e668f27dd1a07a2e..0000000000000000000000000000000000000000 --- a/spaces/Robert001/UniControl-Demo/annotator/uniformer/mmseg/apis/train.py +++ /dev/null @@ -1,116 +0,0 @@ -import random -import warnings - -import numpy as np -import torch -from annotator.uniformer.mmcv.parallel import MMDataParallel, MMDistributedDataParallel -from annotator.uniformer.mmcv.runner import build_optimizer, build_runner - -from annotator.uniformer.mmseg.core import DistEvalHook, EvalHook -from annotator.uniformer.mmseg.datasets import build_dataloader, build_dataset -from annotator.uniformer.mmseg.utils import get_root_logger - - -def set_random_seed(seed, deterministic=False): - """Set random seed. - - Args: - seed (int): Seed to be used. - deterministic (bool): Whether to set the deterministic option for - CUDNN backend, i.e., set `torch.backends.cudnn.deterministic` - to True and `torch.backends.cudnn.benchmark` to False. - Default: False. - """ - random.seed(seed) - np.random.seed(seed) - torch.manual_seed(seed) - torch.cuda.manual_seed_all(seed) - if deterministic: - torch.backends.cudnn.deterministic = True - torch.backends.cudnn.benchmark = False - - -def train_segmentor(model, - dataset, - cfg, - distributed=False, - validate=False, - timestamp=None, - meta=None): - """Launch segmentor training.""" - logger = get_root_logger(cfg.log_level) - - # prepare data loaders - dataset = dataset if isinstance(dataset, (list, tuple)) else [dataset] - data_loaders = [ - build_dataloader( - ds, - cfg.data.samples_per_gpu, - cfg.data.workers_per_gpu, - # cfg.gpus will be ignored if distributed - len(cfg.gpu_ids), - dist=distributed, - seed=cfg.seed, - drop_last=True) for ds in dataset - ] - - # put model on gpus - if distributed: - find_unused_parameters = cfg.get('find_unused_parameters', False) - # Sets the `find_unused_parameters` parameter in - # torch.nn.parallel.DistributedDataParallel - model = MMDistributedDataParallel( - model.cuda(), - device_ids=[torch.cuda.current_device()], - broadcast_buffers=False, - find_unused_parameters=find_unused_parameters) - else: - model = MMDataParallel( - model.cuda(cfg.gpu_ids[0]), device_ids=cfg.gpu_ids) - - # build runner - optimizer = build_optimizer(model, cfg.optimizer) - - if cfg.get('runner') is None: - cfg.runner = {'type': 'IterBasedRunner', 'max_iters': cfg.total_iters} - warnings.warn( - 'config is now expected to have a `runner` section, ' - 'please set `runner` in your config.', UserWarning) - - runner = build_runner( - cfg.runner, - default_args=dict( - model=model, - batch_processor=None, - optimizer=optimizer, - work_dir=cfg.work_dir, - logger=logger, - meta=meta)) - - # register hooks - runner.register_training_hooks(cfg.lr_config, cfg.optimizer_config, - cfg.checkpoint_config, cfg.log_config, - cfg.get('momentum_config', None)) - - # an ugly walkaround to make the .log and .log.json filenames the same - runner.timestamp = timestamp - - # register eval hooks - if validate: - val_dataset = build_dataset(cfg.data.val, dict(test_mode=True)) - val_dataloader = build_dataloader( - val_dataset, - samples_per_gpu=1, - workers_per_gpu=cfg.data.workers_per_gpu, - dist=distributed, - shuffle=False) - eval_cfg = cfg.get('evaluation', {}) - eval_cfg['by_epoch'] = cfg.runner['type'] != 'IterBasedRunner' - eval_hook = DistEvalHook if distributed else EvalHook - runner.register_hook(eval_hook(val_dataloader, **eval_cfg), priority='LOW') - - if cfg.resume_from: - runner.resume(cfg.resume_from) - elif cfg.load_from: - runner.load_checkpoint(cfg.load_from) - runner.run(data_loaders, cfg.workflow) diff --git a/spaces/RonHoHo/Ronhohohhohoho05/README.md b/spaces/RonHoHo/Ronhohohhohoho05/README.md deleted file mode 100644 index 847e70d848e5924691b95a210b7cbfea7231be9d..0000000000000000000000000000000000000000 --- a/spaces/RonHoHo/Ronhohohhohoho05/README.md +++ /dev/null @@ -1,12 +0,0 @@ ---- -title: Ronhohohhohoho05 -emoji: 🐢 -colorFrom: pink -colorTo: indigo -sdk: gradio -sdk_version: 3.19.1 -app_file: app.py -pinned: false ---- - -Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference diff --git a/spaces/Sense-X/uniformer_image_demo/uniformer.py b/spaces/Sense-X/uniformer_image_demo/uniformer.py deleted file mode 100644 index 63f90fb874595acdb179c50e50a9e9d5cbed9978..0000000000000000000000000000000000000000 --- a/spaces/Sense-X/uniformer_image_demo/uniformer.py +++ /dev/null @@ -1,366 +0,0 @@ -from collections import OrderedDict -import torch -import torch.nn as nn -from functools import partial -from timm.models.vision_transformer import _cfg -from timm.models.registry import register_model -from timm.models.layers import trunc_normal_, DropPath, to_2tuple - -layer_scale = False -init_value = 1e-6 - - -class Mlp(nn.Module): - def __init__(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.): - super().__init__() - out_features = out_features or in_features - hidden_features = hidden_features or in_features - self.fc1 = nn.Linear(in_features, hidden_features) - self.act = act_layer() - self.fc2 = nn.Linear(hidden_features, out_features) - self.drop = nn.Dropout(drop) - - def forward(self, x): - x = self.fc1(x) - x = self.act(x) - x = self.drop(x) - x = self.fc2(x) - x = self.drop(x) - return x - - -class CMlp(nn.Module): - def __init__(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.): - super().__init__() - out_features = out_features or in_features - hidden_features = hidden_features or in_features - self.fc1 = nn.Conv2d(in_features, hidden_features, 1) - self.act = act_layer() - self.fc2 = nn.Conv2d(hidden_features, out_features, 1) - self.drop = nn.Dropout(drop) - - def forward(self, x): - x = self.fc1(x) - x = self.act(x) - x = self.drop(x) - x = self.fc2(x) - x = self.drop(x) - return x - - -class Attention(nn.Module): - def __init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0.): - super().__init__() - self.num_heads = num_heads - head_dim = dim // num_heads - # NOTE scale factor was wrong in my original version, can set manually to be compat with prev weights - self.scale = qk_scale or head_dim ** -0.5 - - self.qkv = nn.Linear(dim, dim * 3, bias=qkv_bias) - self.attn_drop = nn.Dropout(attn_drop) - self.proj = nn.Linear(dim, dim) - self.proj_drop = nn.Dropout(proj_drop) - - def forward(self, x): - B, N, C = x.shape - qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) - q, k, v = qkv[0], qkv[1], qkv[2] # make torchscript happy (cannot use tensor as tuple) - - attn = (q @ k.transpose(-2, -1)) * self.scale - attn = attn.softmax(dim=-1) - attn = self.attn_drop(attn) - - x = (attn @ v).transpose(1, 2).reshape(B, N, C) - x = self.proj(x) - x = self.proj_drop(x) - return x - - -class CBlock(nn.Module): - def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., - drop_path=0., act_layer=nn.GELU, norm_layer=nn.LayerNorm): - super().__init__() - self.pos_embed = nn.Conv2d(dim, dim, 3, padding=1, groups=dim) - self.norm1 = nn.BatchNorm2d(dim) - self.conv1 = nn.Conv2d(dim, dim, 1) - self.conv2 = nn.Conv2d(dim, dim, 1) - self.attn = nn.Conv2d(dim, dim, 5, padding=2, groups=dim) - # NOTE: drop path for stochastic depth, we shall see if this is better than dropout here - self.drop_path = DropPath(drop_path) if drop_path > 0. else nn.Identity() - self.norm2 = nn.BatchNorm2d(dim) - mlp_hidden_dim = int(dim * mlp_ratio) - self.mlp = CMlp(in_features=dim, hidden_features=mlp_hidden_dim, act_layer=act_layer, drop=drop) - - def forward(self, x): - x = x + self.pos_embed(x) - x = x + self.drop_path(self.conv2(self.attn(self.conv1(self.norm1(x))))) - x = x + self.drop_path(self.mlp(self.norm2(x))) - return x - - -class SABlock(nn.Module): - def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., - drop_path=0., act_layer=nn.GELU, norm_layer=nn.LayerNorm): - super().__init__() - self.pos_embed = nn.Conv2d(dim, dim, 3, padding=1, groups=dim) - self.norm1 = norm_layer(dim) - self.attn = Attention( - dim, - num_heads=num_heads, qkv_bias=qkv_bias, qk_scale=qk_scale, - attn_drop=attn_drop, proj_drop=drop) - # NOTE: drop path for stochastic depth, we shall see if this is better than dropout here - self.drop_path = DropPath(drop_path) if drop_path > 0. else nn.Identity() - self.norm2 = norm_layer(dim) - mlp_hidden_dim = int(dim * mlp_ratio) - self.mlp = Mlp(in_features=dim, hidden_features=mlp_hidden_dim, act_layer=act_layer, drop=drop) - global layer_scale - self.ls = layer_scale - if self.ls: - global init_value - print(f"Use layer_scale: {layer_scale}, init_values: {init_value}") - self.gamma_1 = nn.Parameter(init_value * torch.ones((dim)),requires_grad=True) - self.gamma_2 = nn.Parameter(init_value * torch.ones((dim)),requires_grad=True) - - def forward(self, x): - x = x + self.pos_embed(x) - B, N, H, W = x.shape - x = x.flatten(2).transpose(1, 2) - if self.ls: - x = x + self.drop_path(self.gamma_1 * self.attn(self.norm1(x))) - x = x + self.drop_path(self.gamma_2 * self.mlp(self.norm2(x))) - else: - x = x + self.drop_path(self.attn(self.norm1(x))) - x = x + self.drop_path(self.mlp(self.norm2(x))) - x = x.transpose(1, 2).reshape(B, N, H, W) - return x - - -class head_embedding(nn.Module): - def __init__(self, in_channels, out_channels): - super(head_embedding, self).__init__() - - self.proj = nn.Sequential( - nn.Conv2d(in_channels, out_channels // 2, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)), - nn.BatchNorm2d(out_channels // 2), - nn.GELU(), - nn.Conv2d(out_channels // 2, out_channels, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)), - nn.BatchNorm2d(out_channels), - ) - - def forward(self, x): - x = self.proj(x) - return x - - -class middle_embedding(nn.Module): - def __init__(self, in_channels, out_channels): - super(middle_embedding, self).__init__() - - self.proj = nn.Sequential( - nn.Conv2d(in_channels, out_channels, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)), - nn.BatchNorm2d(out_channels), - ) - - def forward(self, x): - x = self.proj(x) - return x - - -class PatchEmbed(nn.Module): - """ Image to Patch Embedding - """ - def __init__(self, img_size=224, patch_size=16, in_chans=3, embed_dim=768): - super().__init__() - img_size = to_2tuple(img_size) - patch_size = to_2tuple(patch_size) - num_patches = (img_size[1] // patch_size[1]) * (img_size[0] // patch_size[0]) - self.img_size = img_size - self.patch_size = patch_size - self.num_patches = num_patches - self.norm = nn.LayerNorm(embed_dim) - self.proj = nn.Conv2d(in_chans, embed_dim, kernel_size=patch_size, stride=patch_size) - - def forward(self, x): - B, C, H, W = x.shape - # FIXME look at relaxing size constraints - # assert H == self.img_size[0] and W == self.img_size[1], \ - # f"Input image size ({H}*{W}) doesn't match model ({self.img_size[0]}*{self.img_size[1]})." - x = self.proj(x) - B, C, H, W = x.shape - x = x.flatten(2).transpose(1, 2) - x = self.norm(x) - x = x.reshape(B, H, W, -1).permute(0, 3, 1, 2).contiguous() - return x - - -class UniFormer(nn.Module): - """ Vision Transformer - A PyTorch impl of : `An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale` - - https://arxiv.org/abs/2010.11929 - """ - def __init__(self, depth=[3, 4, 8, 3], img_size=224, in_chans=3, num_classes=1000, embed_dim=[64, 128, 320, 512], - head_dim=64, mlp_ratio=4., qkv_bias=True, qk_scale=None, representation_size=None, - drop_rate=0., attn_drop_rate=0., drop_path_rate=0., norm_layer=None, conv_stem=False): - """ - Args: - depth (list): depth of each stage - img_size (int, tuple): input image size - in_chans (int): number of input channels - num_classes (int): number of classes for classification head - embed_dim (list): embedding dimension of each stage - head_dim (int): head dimension - mlp_ratio (int): ratio of mlp hidden dim to embedding dim - qkv_bias (bool): enable bias for qkv if True - qk_scale (float): override default qk scale of head_dim ** -0.5 if set - representation_size (Optional[int]): enable and set representation layer (pre-logits) to this value if set - drop_rate (float): dropout rate - attn_drop_rate (float): attention dropout rate - drop_path_rate (float): stochastic depth rate - norm_layer: (nn.Module): normalization layer - conv_stem: (bool): whether use overlapped patch stem - """ - super().__init__() - self.num_classes = num_classes - self.num_features = self.embed_dim = embed_dim # num_features for consistency with other models - norm_layer = norm_layer or partial(nn.LayerNorm, eps=1e-6) - if conv_stem: - self.patch_embed1 = head_embedding(in_channels=in_chans, out_channels=embed_dim[0]) - self.patch_embed2 = middle_embedding(in_channels=embed_dim[0], out_channels=embed_dim[1]) - self.patch_embed3 = middle_embedding(in_channels=embed_dim[1], out_channels=embed_dim[2]) - self.patch_embed4 = middle_embedding(in_channels=embed_dim[2], out_channels=embed_dim[3]) - else: - self.patch_embed1 = PatchEmbed( - img_size=img_size, patch_size=4, in_chans=in_chans, embed_dim=embed_dim[0]) - self.patch_embed2 = PatchEmbed( - img_size=img_size // 4, patch_size=2, in_chans=embed_dim[0], embed_dim=embed_dim[1]) - self.patch_embed3 = PatchEmbed( - img_size=img_size // 8, patch_size=2, in_chans=embed_dim[1], embed_dim=embed_dim[2]) - self.patch_embed4 = PatchEmbed( - img_size=img_size // 16, patch_size=2, in_chans=embed_dim[2], embed_dim=embed_dim[3]) - - self.pos_drop = nn.Dropout(p=drop_rate) - dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(depth))] # stochastic depth decay rule - num_heads = [dim // head_dim for dim in embed_dim] - self.blocks1 = nn.ModuleList([ - CBlock( - dim=embed_dim[0], num_heads=num_heads[0], mlp_ratio=mlp_ratio, qkv_bias=qkv_bias, qk_scale=qk_scale, - drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[i], norm_layer=norm_layer) - for i in range(depth[0])]) - self.blocks2 = nn.ModuleList([ - CBlock( - dim=embed_dim[1], num_heads=num_heads[1], mlp_ratio=mlp_ratio, qkv_bias=qkv_bias, qk_scale=qk_scale, - drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[i+depth[0]], norm_layer=norm_layer) - for i in range(depth[1])]) - self.blocks3 = nn.ModuleList([ - SABlock( - dim=embed_dim[2], num_heads=num_heads[2], mlp_ratio=mlp_ratio, qkv_bias=qkv_bias, qk_scale=qk_scale, - drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[i+depth[0]+depth[1]], norm_layer=norm_layer) - for i in range(depth[2])]) - self.blocks4 = nn.ModuleList([ - SABlock( - dim=embed_dim[3], num_heads=num_heads[3], mlp_ratio=mlp_ratio, qkv_bias=qkv_bias, qk_scale=qk_scale, - drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[i+depth[0]+depth[1]+depth[2]], norm_layer=norm_layer) - for i in range(depth[3])]) - self.norm = nn.BatchNorm2d(embed_dim[-1]) - - # Representation layer - if representation_size: - self.num_features = representation_size - self.pre_logits = nn.Sequential(OrderedDict([ - ('fc', nn.Linear(embed_dim, representation_size)), - ('act', nn.Tanh()) - ])) - else: - self.pre_logits = nn.Identity() - - # Classifier head - self.head = nn.Linear(embed_dim[-1], num_classes) if num_classes > 0 else nn.Identity() - - self.apply(self._init_weights) - - def _init_weights(self, m): - if isinstance(m, nn.Linear): - trunc_normal_(m.weight, std=.02) - if isinstance(m, nn.Linear) and m.bias is not None: - nn.init.constant_(m.bias, 0) - elif isinstance(m, nn.LayerNorm): - nn.init.constant_(m.bias, 0) - nn.init.constant_(m.weight, 1.0) - - @torch.jit.ignore - def no_weight_decay(self): - return {'pos_embed', 'cls_token'} - - def get_classifier(self): - return self.head - - def reset_classifier(self, num_classes, global_pool=''): - self.num_classes = num_classes - self.head = nn.Linear(self.embed_dim, num_classes) if num_classes > 0 else nn.Identity() - - def forward_features(self, x): - B = x.shape[0] - x = self.patch_embed1(x) - x = self.pos_drop(x) - for blk in self.blocks1: - x = blk(x) - x = self.patch_embed2(x) - for blk in self.blocks2: - x = blk(x) - x = self.patch_embed3(x) - for blk in self.blocks3: - x = blk(x) - x = self.patch_embed4(x) - for blk in self.blocks4: - x = blk(x) - x = self.norm(x) - x = self.pre_logits(x) - return x - - def forward(self, x): - x = self.forward_features(x) - x = x.flatten(2).mean(-1) - x = self.head(x) - return x - - -@register_model -def uniformer_small(pretrained=True, **kwargs): - model = UniFormer( - depth=[3, 4, 8, 3], - embed_dim=[64, 128, 320, 512], head_dim=64, mlp_ratio=4, qkv_bias=True, - norm_layer=partial(nn.LayerNorm, eps=1e-6), **kwargs) - model.default_cfg = _cfg() - return model - - -@register_model -def uniformer_small_plus(pretrained=True, **kwargs): - model = UniFormer( - depth=[3, 5, 9, 3], conv_stem=True, - embed_dim=[64, 128, 320, 512], head_dim=64, mlp_ratio=4, qkv_bias=True, - norm_layer=partial(nn.LayerNorm, eps=1e-6), **kwargs) - model.default_cfg = _cfg() - return model - - -@register_model -def uniformer_base(pretrained=True, **kwargs): - model = UniFormer( - depth=[5, 8, 20, 7], - embed_dim=[64, 128, 320, 512], head_dim=64, mlp_ratio=4, qkv_bias=True, - norm_layer=partial(nn.LayerNorm, eps=1e-6), **kwargs) - model.default_cfg = _cfg() - return model - - -@register_model -def uniformer_base_ls(pretrained=True, **kwargs): - global layer_scale - layer_scale = True - model = UniFormer( - depth=[5, 8, 20, 7], - embed_dim=[64, 128, 320, 512], head_dim=64, mlp_ratio=4, qkv_bias=True, - norm_layer=partial(nn.LayerNorm, eps=1e-6), **kwargs) - model.default_cfg = _cfg() - return model diff --git a/spaces/ServerX/PorcoDiaz/infer/lib/uvr5_pack/lib_v5/layers_new.py b/spaces/ServerX/PorcoDiaz/infer/lib/uvr5_pack/lib_v5/layers_new.py deleted file mode 100644 index 44153b6a23399c6938affc61c71919eaa172bcee..0000000000000000000000000000000000000000 --- a/spaces/ServerX/PorcoDiaz/infer/lib/uvr5_pack/lib_v5/layers_new.py +++ /dev/null @@ -1,125 +0,0 @@ -import torch -import torch.nn.functional as F -from torch import nn - -from . import spec_utils - - -class Conv2DBNActiv(nn.Module): - def __init__(self, nin, nout, ksize=3, stride=1, pad=1, dilation=1, activ=nn.ReLU): - super(Conv2DBNActiv, self).__init__() - self.conv = nn.Sequential( - nn.Conv2d( - nin, - nout, - kernel_size=ksize, - stride=stride, - padding=pad, - dilation=dilation, - bias=False, - ), - nn.BatchNorm2d(nout), - activ(), - ) - - def __call__(self, x): - return self.conv(x) - - -class Encoder(nn.Module): - def __init__(self, nin, nout, ksize=3, stride=1, pad=1, activ=nn.LeakyReLU): - super(Encoder, self).__init__() - self.conv1 = Conv2DBNActiv(nin, nout, ksize, stride, pad, activ=activ) - self.conv2 = Conv2DBNActiv(nout, nout, ksize, 1, pad, activ=activ) - - def __call__(self, x): - h = self.conv1(x) - h = self.conv2(h) - - return h - - -class Decoder(nn.Module): - def __init__( - self, nin, nout, ksize=3, stride=1, pad=1, activ=nn.ReLU, dropout=False - ): - super(Decoder, self).__init__() - self.conv1 = Conv2DBNActiv(nin, nout, ksize, 1, pad, activ=activ) - # self.conv2 = Conv2DBNActiv(nout, nout, ksize, 1, pad, activ=activ) - self.dropout = nn.Dropout2d(0.1) if dropout else None - - def __call__(self, x, skip=None): - x = F.interpolate(x, scale_factor=2, mode="bilinear", align_corners=True) - - if skip is not None: - skip = spec_utils.crop_center(skip, x) - x = torch.cat([x, skip], dim=1) - - h = self.conv1(x) - # h = self.conv2(h) - - if self.dropout is not None: - h = self.dropout(h) - - return h - - -class ASPPModule(nn.Module): - def __init__(self, nin, nout, dilations=(4, 8, 12), activ=nn.ReLU, dropout=False): - super(ASPPModule, self).__init__() - self.conv1 = nn.Sequential( - nn.AdaptiveAvgPool2d((1, None)), - Conv2DBNActiv(nin, nout, 1, 1, 0, activ=activ), - ) - self.conv2 = Conv2DBNActiv(nin, nout, 1, 1, 0, activ=activ) - self.conv3 = Conv2DBNActiv( - nin, nout, 3, 1, dilations[0], dilations[0], activ=activ - ) - self.conv4 = Conv2DBNActiv( - nin, nout, 3, 1, dilations[1], dilations[1], activ=activ - ) - self.conv5 = Conv2DBNActiv( - nin, nout, 3, 1, dilations[2], dilations[2], activ=activ - ) - self.bottleneck = Conv2DBNActiv(nout * 5, nout, 1, 1, 0, activ=activ) - self.dropout = nn.Dropout2d(0.1) if dropout else None - - def forward(self, x): - _, _, h, w = x.size() - feat1 = F.interpolate( - self.conv1(x), size=(h, w), mode="bilinear", align_corners=True - ) - feat2 = self.conv2(x) - feat3 = self.conv3(x) - feat4 = self.conv4(x) - feat5 = self.conv5(x) - out = torch.cat((feat1, feat2, feat3, feat4, feat5), dim=1) - out = self.bottleneck(out) - - if self.dropout is not None: - out = self.dropout(out) - - return out - - -class LSTMModule(nn.Module): - def __init__(self, nin_conv, nin_lstm, nout_lstm): - super(LSTMModule, self).__init__() - self.conv = Conv2DBNActiv(nin_conv, 1, 1, 1, 0) - self.lstm = nn.LSTM( - input_size=nin_lstm, hidden_size=nout_lstm // 2, bidirectional=True - ) - self.dense = nn.Sequential( - nn.Linear(nout_lstm, nin_lstm), nn.BatchNorm1d(nin_lstm), nn.ReLU() - ) - - def forward(self, x): - N, _, nbins, nframes = x.size() - h = self.conv(x)[:, 0] # N, nbins, nframes - h = h.permute(2, 0, 1) # nframes, N, nbins - h, _ = self.lstm(h) - h = self.dense(h.reshape(-1, h.size()[-1])) # nframes * N, nbins - h = h.reshape(nframes, N, 1, nbins) - h = h.permute(1, 2, 3, 0) - - return h diff --git a/spaces/Shankarm08/chatconversation/README.md b/spaces/Shankarm08/chatconversation/README.md deleted file mode 100644 index 8230829238b6d92c954dce5235fc793fce86939c..0000000000000000000000000000000000000000 --- a/spaces/Shankarm08/chatconversation/README.md +++ /dev/null @@ -1,12 +0,0 @@ ---- -title: Chatconversation -emoji: 🦀 -colorFrom: gray -colorTo: yellow -sdk: streamlit -sdk_version: 1.26.0 -app_file: app.py -pinned: false ---- - -Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference diff --git a/spaces/SoundreameR/craiyon-exploration/index.html b/spaces/SoundreameR/craiyon-exploration/index.html deleted file mode 100644 index 918e851d9dd1baf9e4fb4f067fd979d432472161..0000000000000000000000000000000000000000 --- a/spaces/SoundreameR/craiyon-exploration/index.html +++ /dev/null @@ -1,24 +0,0 @@ - - - - - - My static Space - - - -
-

Welcome to your static Space!

-

- You can modify this app directly by editing index.html in the - Files and versions tab. -

-

- Also don't forget to check the - Spaces documentation. -

-
- - diff --git a/spaces/SouthCity/ShuruiXu/Dockerfile b/spaces/SouthCity/ShuruiXu/Dockerfile deleted file mode 100644 index 564392c933342f77731be47faa417bb8906067bc..0000000000000000000000000000000000000000 --- a/spaces/SouthCity/ShuruiXu/Dockerfile +++ /dev/null @@ -1,13 +0,0 @@ -FROM python:3.11 - -RUN echo '[global]' > /etc/pip.conf && \ - echo 'index-url = https://mirrors.aliyun.com/pypi/simple/' >> /etc/pip.conf && \ - echo 'trusted-host = mirrors.aliyun.com' >> /etc/pip.conf - -RUN pip3 install gradio requests[socks] mdtex2html - -COPY . /gpt -WORKDIR /gpt - - -CMD ["python3", "main.py"] \ No newline at end of file diff --git a/spaces/SriniJalasuthram/SJ-02-H5-AR-VR-IOT/README.md b/spaces/SriniJalasuthram/SJ-02-H5-AR-VR-IOT/README.md deleted file mode 100644 index 9445bd89012f0b8409bf982b37decad8407752f2..0000000000000000000000000000000000000000 --- a/spaces/SriniJalasuthram/SJ-02-H5-AR-VR-IOT/README.md +++ /dev/null @@ -1,11 +0,0 @@ ---- -title: SJ 02 H5 AR VR IOT -emoji: 🐨 -colorFrom: gray -colorTo: gray -sdk: static -pinned: false -license: apache-2.0 ---- - -Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference diff --git a/spaces/StarbucksCN/starbucks_doc/faq/fewshot.py b/spaces/StarbucksCN/starbucks_doc/faq/fewshot.py deleted file mode 100644 index b4a9f4fc5c5fa4d770a83b411f375dabee5c902d..0000000000000000000000000000000000000000 --- a/spaces/StarbucksCN/starbucks_doc/faq/fewshot.py +++ /dev/null @@ -1,119 +0,0 @@ -from langchain import PromptTemplate, FewShotPromptTemplate -examples = [ - { - "question": "戴帽卫衣可以穿了吗?", - "answer": - """ - 可以的,颜色需要符合上衣标准要求。 - """ - }, - { - "question": "所有的上衣下摆都需要塞进裤子里吗?", - "answer": - """ -T恤、衬衫等材质较薄的上衣下摆需要塞进裤子里,太厚不能塞进裤子里的上衣,需要整理整齐。 -""" - }, - { - "question": "臻选门店的白衬衫和酒坊的灰衬衫还可以穿吗?", - "answer": - """ -可以,这些服装符合新的着装标准。 -""" - }, -# { -# "question": "运动鞋可以穿吗?", -# "answer": -# """ -# 材质为皮革、橡胶、反绒皮等材质的运动鞋可以穿,主色需为黑色、深灰色、深蓝色、深棕色。 -# """ -# }, { -# "question": "能不能不戴帽子?", -# "answer": -# """ -# 由于法规要求,门店伙伴必须佩戴帽子工作。 -# """ -# }, -# { -# "question": "伙伴上班可以戴手表吗?这样可以方便看时间~", -# "answer": -# """ -# 不可以,佩戴手表会影响我们的洗手流程,根据食品安全要求,洗手中需要搓洗前臂(在腕与肘之间),戴着手表是不方便做手部清洁。 -# """ -# }, { -# "question": "女生可以穿连衣裙吗?", -# "answer": -# """ -# 可以,只要符合我们的颜色要求,也需要是纯色的。衣领不能时过宽或者是V字领,且裙子要及膝或者过膝。 -# """ -# }, -# { -# "question": "条纹和格子衬衫可以穿吗?", -# "answer": -# """ -# 不可以,在新的着装标准里,衣服需要符合纯色要求,除了一些制造商的小logo外。 -# """ -# }, { -# "question": "门店伙伴的穿着是否需要店经理统一?", -# "answer": -# """ -# 伙伴可以与店经理讨论门店服装风格,具体以店经理要求为主。 -# """ -# }, -# { -# "question": "穿衬衫时,衣领部分的扣子是不是要扣到最高?", -# "answer": -# """ -# 不用,大家可以搭配喜欢的方巾、领带或者领结,找到适合自己的风格。 -# """ -# }, { -# "question": "为社么不可以穿紧身裤?", -# "answer": -# """ -# 如果被热水烫伤穿着紧身裁剪的裤子会影响伤口处理,造成再次伤害。为了伙伴的安全考虑,不要在上班时穿着任何面料的紧身裤。 -# """ -# }, - { - "question": "酒坊门店Bar Mixato的伙伴也是按照新的着装标准吗?", - "answer": - """ -可以按照新的穿搭,也可以继续穿之前的服装。旗舰店伙伴请和店经理先确认。 -""" - }, - { - "question": "背带裤可以穿吗?", - "answer": - """ -可以的,颜色需要符合裤装标准要求。 -""" - }, - { - "question": "上衣的标准是什么?", - "answer": - """ -1.伙伴可穿着T恤、戴帽卫衣、带领衬衫、立领衬衫、POLO、长袖POLO、夹克外套、羊毛衫、牛仔衬衫、套领衫等。 -2.伙伴的上衣应是纯色的,如果伙伴穿着打底衣物(如套领衫、打底衫),那么颜色应符合可选颜色范围。可在套领衫或衬衫外面穿一件毛衣或夹克,颜色也应符合上衣标准。(考虑到异物风险,请勿选择长绒、松散的、容易掉落的毛衣材质,如:兔毛、马海毛、貂绒/仿貂绒、羊驼毛等) -3.T恤、衬衫等材质较薄的上衣下摆需塞进裤子里。无法塞进裤子里的上衣,请确保看起来整齐、不拖沓。 -4.颜色要求:黑色、灰色系列(深灰、中灰和浅灰)、白色、深蓝色、棕色系和卡其色,都是可选的。 -""" - }, { - "question": "下装的标准是什么?", - "answer": - """ -1.伙伴可以穿着长裤或及膝短裤,也可以穿裙子(包括连衣裙),但需要是纯色并且长度及膝或过膝。伙伴不应穿着颜色不均匀的牛仔裤,宽松下垂、破洞或者做旧效果的牛仔裤也不能穿。出于安全考虑,伙伴也不应穿着皮裤、瑜伽裤、弹力纤维裤和紧身裤(包括黑色连裤袜)。 -2.颜色要求:卡其色、深蓝色、深灰色、黑色。 -""" - } -] - -EXAMPLE_PROMPT = PromptTemplate(input_variables=["question", "answer"], template="Question: {question}\n{answer}") -FEW_SHOT_PROMPT_TEMPLATE = FewShotPromptTemplate( - examples=examples, - example_prompt=EXAMPLE_PROMPT, - suffix="Question: {input}", - input_variables=["input"] -) - - -def get_few_shot_template() -> FewShotPromptTemplate: - return FEW_SHOT_PROMPT_TEMPLATE diff --git a/spaces/Sumit7864/Image-Enhancer/realesrgan/__init__.py b/spaces/Sumit7864/Image-Enhancer/realesrgan/__init__.py deleted file mode 100644 index 2276f1eecded80d1f00ff97b45c66c7a8922b987..0000000000000000000000000000000000000000 --- a/spaces/Sumit7864/Image-Enhancer/realesrgan/__init__.py +++ /dev/null @@ -1,6 +0,0 @@ -# flake8: noqa -from .archs import * -from .data import * -from .models import * -from .utils import * -from .version import * diff --git a/spaces/SungBeom/chatwine-korean/.venv/Lib/site-packages/IPython/external/__init__.py b/spaces/SungBeom/chatwine-korean/.venv/Lib/site-packages/IPython/external/__init__.py deleted file mode 100644 index eedc338eb8471eb54c596d671d24e009afc9a134..0000000000000000000000000000000000000000 --- a/spaces/SungBeom/chatwine-korean/.venv/Lib/site-packages/IPython/external/__init__.py +++ /dev/null @@ -1,7 +0,0 @@ -""" -This package contains all third-party modules bundled with IPython. -""" - -from typing import List - -__all__: List[str] = [] diff --git a/spaces/SungBeom/chatwine-korean/.venv/Lib/site-packages/PIL/BufrStubImagePlugin.py b/spaces/SungBeom/chatwine-korean/.venv/Lib/site-packages/PIL/BufrStubImagePlugin.py deleted file mode 100644 index 0425bbd750eacf884ca1fc0ba8aa893a71ccdfc6..0000000000000000000000000000000000000000 --- a/spaces/SungBeom/chatwine-korean/.venv/Lib/site-packages/PIL/BufrStubImagePlugin.py +++ /dev/null @@ -1,73 +0,0 @@ -# -# The Python Imaging Library -# $Id$ -# -# BUFR stub adapter -# -# Copyright (c) 1996-2003 by Fredrik Lundh -# -# See the README file for information on usage and redistribution. -# - -from . import Image, ImageFile - -_handler = None - - -def register_handler(handler): - """ - Install application-specific BUFR image handler. - - :param handler: Handler object. - """ - global _handler - _handler = handler - - -# -------------------------------------------------------------------- -# Image adapter - - -def _accept(prefix): - return prefix[:4] == b"BUFR" or prefix[:4] == b"ZCZC" - - -class BufrStubImageFile(ImageFile.StubImageFile): - format = "BUFR" - format_description = "BUFR" - - def _open(self): - offset = self.fp.tell() - - if not _accept(self.fp.read(4)): - msg = "Not a BUFR file" - raise SyntaxError(msg) - - self.fp.seek(offset) - - # make something up - self.mode = "F" - self._size = 1, 1 - - loader = self._load() - if loader: - loader.open(self) - - def _load(self): - return _handler - - -def _save(im, fp, filename): - if _handler is None or not hasattr(_handler, "save"): - msg = "BUFR save handler not installed" - raise OSError(msg) - _handler.save(im, fp, filename) - - -# -------------------------------------------------------------------- -# Registry - -Image.register_open(BufrStubImageFile.format, BufrStubImageFile, _accept) -Image.register_save(BufrStubImageFile.format, _save) - -Image.register_extension(BufrStubImageFile.format, ".bufr") diff --git a/spaces/SungBeom/chatwine-korean/.venv/Lib/site-packages/charset_normalizer/cd.py b/spaces/SungBeom/chatwine-korean/.venv/Lib/site-packages/charset_normalizer/cd.py deleted file mode 100644 index 6e56fe84a9e0e63b918141bc27d708b2d915563f..0000000000000000000000000000000000000000 --- a/spaces/SungBeom/chatwine-korean/.venv/Lib/site-packages/charset_normalizer/cd.py +++ /dev/null @@ -1,390 +0,0 @@ -import importlib -from codecs import IncrementalDecoder -from collections import Counter -from functools import lru_cache -from typing import Counter as TypeCounter, Dict, List, Optional, Tuple - -from .assets import FREQUENCIES -from .constant import KO_NAMES, LANGUAGE_SUPPORTED_COUNT, TOO_SMALL_SEQUENCE, ZH_NAMES -from .md import is_suspiciously_successive_range -from .models import CoherenceMatches -from .utils import ( - is_accentuated, - is_latin, - is_multi_byte_encoding, - is_unicode_range_secondary, - unicode_range, -) - - -def encoding_unicode_range(iana_name: str) -> List[str]: - """ - Return associated unicode ranges in a single byte code page. - """ - if is_multi_byte_encoding(iana_name): - raise IOError("Function not supported on multi-byte code page") - - decoder = importlib.import_module( - "encodings.{}".format(iana_name) - ).IncrementalDecoder - - p: IncrementalDecoder = decoder(errors="ignore") - seen_ranges: Dict[str, int] = {} - character_count: int = 0 - - for i in range(0x40, 0xFF): - chunk: str = p.decode(bytes([i])) - - if chunk: - character_range: Optional[str] = unicode_range(chunk) - - if character_range is None: - continue - - if is_unicode_range_secondary(character_range) is False: - if character_range not in seen_ranges: - seen_ranges[character_range] = 0 - seen_ranges[character_range] += 1 - character_count += 1 - - return sorted( - [ - character_range - for character_range in seen_ranges - if seen_ranges[character_range] / character_count >= 0.15 - ] - ) - - -def unicode_range_languages(primary_range: str) -> List[str]: - """ - Return inferred languages used with a unicode range. - """ - languages: List[str] = [] - - for language, characters in FREQUENCIES.items(): - for character in characters: - if unicode_range(character) == primary_range: - languages.append(language) - break - - return languages - - -@lru_cache() -def encoding_languages(iana_name: str) -> List[str]: - """ - Single-byte encoding language association. Some code page are heavily linked to particular language(s). - This function does the correspondence. - """ - unicode_ranges: List[str] = encoding_unicode_range(iana_name) - primary_range: Optional[str] = None - - for specified_range in unicode_ranges: - if "Latin" not in specified_range: - primary_range = specified_range - break - - if primary_range is None: - return ["Latin Based"] - - return unicode_range_languages(primary_range) - - -@lru_cache() -def mb_encoding_languages(iana_name: str) -> List[str]: - """ - Multi-byte encoding language association. Some code page are heavily linked to particular language(s). - This function does the correspondence. - """ - if ( - iana_name.startswith("shift_") - or iana_name.startswith("iso2022_jp") - or iana_name.startswith("euc_j") - or iana_name == "cp932" - ): - return ["Japanese"] - if iana_name.startswith("gb") or iana_name in ZH_NAMES: - return ["Chinese"] - if iana_name.startswith("iso2022_kr") or iana_name in KO_NAMES: - return ["Korean"] - - return [] - - -@lru_cache(maxsize=LANGUAGE_SUPPORTED_COUNT) -def get_target_features(language: str) -> Tuple[bool, bool]: - """ - Determine main aspects from a supported language if it contains accents and if is pure Latin. - """ - target_have_accents: bool = False - target_pure_latin: bool = True - - for character in FREQUENCIES[language]: - if not target_have_accents and is_accentuated(character): - target_have_accents = True - if target_pure_latin and is_latin(character) is False: - target_pure_latin = False - - return target_have_accents, target_pure_latin - - -def alphabet_languages( - characters: List[str], ignore_non_latin: bool = False -) -> List[str]: - """ - Return associated languages associated to given characters. - """ - languages: List[Tuple[str, float]] = [] - - source_have_accents = any(is_accentuated(character) for character in characters) - - for language, language_characters in FREQUENCIES.items(): - target_have_accents, target_pure_latin = get_target_features(language) - - if ignore_non_latin and target_pure_latin is False: - continue - - if target_have_accents is False and source_have_accents: - continue - - character_count: int = len(language_characters) - - character_match_count: int = len( - [c for c in language_characters if c in characters] - ) - - ratio: float = character_match_count / character_count - - if ratio >= 0.2: - languages.append((language, ratio)) - - languages = sorted(languages, key=lambda x: x[1], reverse=True) - - return [compatible_language[0] for compatible_language in languages] - - -def characters_popularity_compare( - language: str, ordered_characters: List[str] -) -> float: - """ - Determine if a ordered characters list (by occurrence from most appearance to rarest) match a particular language. - The result is a ratio between 0. (absolutely no correspondence) and 1. (near perfect fit). - Beware that is function is not strict on the match in order to ease the detection. (Meaning close match is 1.) - """ - if language not in FREQUENCIES: - raise ValueError("{} not available".format(language)) - - character_approved_count: int = 0 - FREQUENCIES_language_set = set(FREQUENCIES[language]) - - ordered_characters_count: int = len(ordered_characters) - target_language_characters_count: int = len(FREQUENCIES[language]) - - large_alphabet: bool = target_language_characters_count > 26 - - for character, character_rank in zip( - ordered_characters, range(0, ordered_characters_count) - ): - if character not in FREQUENCIES_language_set: - continue - - character_rank_in_language: int = FREQUENCIES[language].index(character) - expected_projection_ratio: float = ( - target_language_characters_count / ordered_characters_count - ) - character_rank_projection: int = int(character_rank * expected_projection_ratio) - - if ( - large_alphabet is False - and abs(character_rank_projection - character_rank_in_language) > 4 - ): - continue - - if ( - large_alphabet is True - and abs(character_rank_projection - character_rank_in_language) - < target_language_characters_count / 3 - ): - character_approved_count += 1 - continue - - characters_before_source: List[str] = FREQUENCIES[language][ - 0:character_rank_in_language - ] - characters_after_source: List[str] = FREQUENCIES[language][ - character_rank_in_language: - ] - characters_before: List[str] = ordered_characters[0:character_rank] - characters_after: List[str] = ordered_characters[character_rank:] - - before_match_count: int = len( - set(characters_before) & set(characters_before_source) - ) - - after_match_count: int = len( - set(characters_after) & set(characters_after_source) - ) - - if len(characters_before_source) == 0 and before_match_count <= 4: - character_approved_count += 1 - continue - - if len(characters_after_source) == 0 and after_match_count <= 4: - character_approved_count += 1 - continue - - if ( - before_match_count / len(characters_before_source) >= 0.4 - or after_match_count / len(characters_after_source) >= 0.4 - ): - character_approved_count += 1 - continue - - return character_approved_count / len(ordered_characters) - - -def alpha_unicode_split(decoded_sequence: str) -> List[str]: - """ - Given a decoded text sequence, return a list of str. Unicode range / alphabet separation. - Ex. a text containing English/Latin with a bit a Hebrew will return two items in the resulting list; - One containing the latin letters and the other hebrew. - """ - layers: Dict[str, str] = {} - - for character in decoded_sequence: - if character.isalpha() is False: - continue - - character_range: Optional[str] = unicode_range(character) - - if character_range is None: - continue - - layer_target_range: Optional[str] = None - - for discovered_range in layers: - if ( - is_suspiciously_successive_range(discovered_range, character_range) - is False - ): - layer_target_range = discovered_range - break - - if layer_target_range is None: - layer_target_range = character_range - - if layer_target_range not in layers: - layers[layer_target_range] = character.lower() - continue - - layers[layer_target_range] += character.lower() - - return list(layers.values()) - - -def merge_coherence_ratios(results: List[CoherenceMatches]) -> CoherenceMatches: - """ - This function merge results previously given by the function coherence_ratio. - The return type is the same as coherence_ratio. - """ - per_language_ratios: Dict[str, List[float]] = {} - for result in results: - for sub_result in result: - language, ratio = sub_result - if language not in per_language_ratios: - per_language_ratios[language] = [ratio] - continue - per_language_ratios[language].append(ratio) - - merge = [ - ( - language, - round( - sum(per_language_ratios[language]) / len(per_language_ratios[language]), - 4, - ), - ) - for language in per_language_ratios - ] - - return sorted(merge, key=lambda x: x[1], reverse=True) - - -def filter_alt_coherence_matches(results: CoherenceMatches) -> CoherenceMatches: - """ - We shall NOT return "English—" in CoherenceMatches because it is an alternative - of "English". This function only keeps the best match and remove the em-dash in it. - """ - index_results: Dict[str, List[float]] = dict() - - for result in results: - language, ratio = result - no_em_name: str = language.replace("—", "") - - if no_em_name not in index_results: - index_results[no_em_name] = [] - - index_results[no_em_name].append(ratio) - - if any(len(index_results[e]) > 1 for e in index_results): - filtered_results: CoherenceMatches = [] - - for language in index_results: - filtered_results.append((language, max(index_results[language]))) - - return filtered_results - - return results - - -@lru_cache(maxsize=2048) -def coherence_ratio( - decoded_sequence: str, threshold: float = 0.1, lg_inclusion: Optional[str] = None -) -> CoherenceMatches: - """ - Detect ANY language that can be identified in given sequence. The sequence will be analysed by layers. - A layer = Character extraction by alphabets/ranges. - """ - - results: List[Tuple[str, float]] = [] - ignore_non_latin: bool = False - - sufficient_match_count: int = 0 - - lg_inclusion_list = lg_inclusion.split(",") if lg_inclusion is not None else [] - if "Latin Based" in lg_inclusion_list: - ignore_non_latin = True - lg_inclusion_list.remove("Latin Based") - - for layer in alpha_unicode_split(decoded_sequence): - sequence_frequencies: TypeCounter[str] = Counter(layer) - most_common = sequence_frequencies.most_common() - - character_count: int = sum(o for c, o in most_common) - - if character_count <= TOO_SMALL_SEQUENCE: - continue - - popular_character_ordered: List[str] = [c for c, o in most_common] - - for language in lg_inclusion_list or alphabet_languages( - popular_character_ordered, ignore_non_latin - ): - ratio: float = characters_popularity_compare( - language, popular_character_ordered - ) - - if ratio < threshold: - continue - elif ratio >= 0.8: - sufficient_match_count += 1 - - results.append((language, round(ratio, 4))) - - if sufficient_match_count >= 3: - break - - return sorted( - filter_alt_coherence_matches(results), key=lambda x: x[1], reverse=True - ) diff --git a/spaces/Superlang/ImageProcessor/annotator/leres/pix2pix/util/__init__.py b/spaces/Superlang/ImageProcessor/annotator/leres/pix2pix/util/__init__.py deleted file mode 100644 index ae36f63d8859ec0c60dcbfe67c4ac324e751ddf7..0000000000000000000000000000000000000000 --- a/spaces/Superlang/ImageProcessor/annotator/leres/pix2pix/util/__init__.py +++ /dev/null @@ -1 +0,0 @@ -"""This package includes a miscellaneous collection of useful helper functions.""" diff --git a/spaces/Superlang/ImageProcessor/annotator/leres/pix2pix/util/guidedfilter.py b/spaces/Superlang/ImageProcessor/annotator/leres/pix2pix/util/guidedfilter.py deleted file mode 100644 index d377ff12e078a5f156e9246b63573dae71825fad..0000000000000000000000000000000000000000 --- a/spaces/Superlang/ImageProcessor/annotator/leres/pix2pix/util/guidedfilter.py +++ /dev/null @@ -1,47 +0,0 @@ -import numpy as np - -class GuidedFilter(): - def __init__(self, source, reference, r=64, eps= 0.05**2): - self.source = source; - self.reference = reference; - self.r = r - self.eps = eps - - self.smooth = self.guidedfilter(self.source,self.reference,self.r,self.eps) - - def boxfilter(self,img, r): - (rows, cols) = img.shape - imDst = np.zeros_like(img) - - imCum = np.cumsum(img, 0) - imDst[0 : r+1, :] = imCum[r : 2*r+1, :] - imDst[r+1 : rows-r, :] = imCum[2*r+1 : rows, :] - imCum[0 : rows-2*r-1, :] - imDst[rows-r: rows, :] = np.tile(imCum[rows-1, :], [r, 1]) - imCum[rows-2*r-1 : rows-r-1, :] - - imCum = np.cumsum(imDst, 1) - imDst[:, 0 : r+1] = imCum[:, r : 2*r+1] - imDst[:, r+1 : cols-r] = imCum[:, 2*r+1 : cols] - imCum[:, 0 : cols-2*r-1] - imDst[:, cols-r: cols] = np.tile(imCum[:, cols-1], [r, 1]).T - imCum[:, cols-2*r-1 : cols-r-1] - - return imDst - - def guidedfilter(self,I, p, r, eps): - (rows, cols) = I.shape - N = self.boxfilter(np.ones([rows, cols]), r) - - meanI = self.boxfilter(I, r) / N - meanP = self.boxfilter(p, r) / N - meanIp = self.boxfilter(I * p, r) / N - covIp = meanIp - meanI * meanP - - meanII = self.boxfilter(I * I, r) / N - varI = meanII - meanI * meanI - - a = covIp / (varI + eps) - b = meanP - a * meanI - - meanA = self.boxfilter(a, r) / N - meanB = self.boxfilter(b, r) / N - - q = meanA * I + meanB - return q \ No newline at end of file diff --git a/spaces/Superlang/ImageProcessor/annotator/uniformer/mmcv/ops/info.py b/spaces/Superlang/ImageProcessor/annotator/uniformer/mmcv/ops/info.py deleted file mode 100644 index 29f2e5598ae2bb5866ccd15a7d3b4de33c0cd14d..0000000000000000000000000000000000000000 --- a/spaces/Superlang/ImageProcessor/annotator/uniformer/mmcv/ops/info.py +++ /dev/null @@ -1,36 +0,0 @@ -# Copyright (c) OpenMMLab. All rights reserved. -import glob -import os - -import torch - -if torch.__version__ == 'parrots': - import parrots - - def get_compiler_version(): - return 'GCC ' + parrots.version.compiler - - def get_compiling_cuda_version(): - return parrots.version.cuda -else: - from ..utils import ext_loader - ext_module = ext_loader.load_ext( - '_ext', ['get_compiler_version', 'get_compiling_cuda_version']) - - def get_compiler_version(): - return ext_module.get_compiler_version() - - def get_compiling_cuda_version(): - return ext_module.get_compiling_cuda_version() - - -def get_onnxruntime_op_path(): - wildcard = os.path.join( - os.path.abspath(os.path.dirname(os.path.dirname(__file__))), - '_ext_ort.*.so') - - paths = glob.glob(wildcard) - if len(paths) > 0: - return paths[0] - else: - return '' diff --git a/spaces/Superlang/ImageProcessor/annotator/uniformer/mmseg/models/decode_heads/dnl_head.py b/spaces/Superlang/ImageProcessor/annotator/uniformer/mmseg/models/decode_heads/dnl_head.py deleted file mode 100644 index 333280c5947066fd3c7ebcfe302a0e7ad65480d5..0000000000000000000000000000000000000000 --- a/spaces/Superlang/ImageProcessor/annotator/uniformer/mmseg/models/decode_heads/dnl_head.py +++ /dev/null @@ -1,131 +0,0 @@ -import torch -from annotator.uniformer.mmcv.cnn import NonLocal2d -from torch import nn - -from ..builder import HEADS -from .fcn_head import FCNHead - - -class DisentangledNonLocal2d(NonLocal2d): - """Disentangled Non-Local Blocks. - - Args: - temperature (float): Temperature to adjust attention. Default: 0.05 - """ - - def __init__(self, *arg, temperature, **kwargs): - super().__init__(*arg, **kwargs) - self.temperature = temperature - self.conv_mask = nn.Conv2d(self.in_channels, 1, kernel_size=1) - - def embedded_gaussian(self, theta_x, phi_x): - """Embedded gaussian with temperature.""" - - # NonLocal2d pairwise_weight: [N, HxW, HxW] - pairwise_weight = torch.matmul(theta_x, phi_x) - if self.use_scale: - # theta_x.shape[-1] is `self.inter_channels` - pairwise_weight /= theta_x.shape[-1]**0.5 - pairwise_weight /= self.temperature - pairwise_weight = pairwise_weight.softmax(dim=-1) - return pairwise_weight - - def forward(self, x): - # x: [N, C, H, W] - n = x.size(0) - - # g_x: [N, HxW, C] - g_x = self.g(x).view(n, self.inter_channels, -1) - g_x = g_x.permute(0, 2, 1) - - # theta_x: [N, HxW, C], phi_x: [N, C, HxW] - if self.mode == 'gaussian': - theta_x = x.view(n, self.in_channels, -1) - theta_x = theta_x.permute(0, 2, 1) - if self.sub_sample: - phi_x = self.phi(x).view(n, self.in_channels, -1) - else: - phi_x = x.view(n, self.in_channels, -1) - elif self.mode == 'concatenation': - theta_x = self.theta(x).view(n, self.inter_channels, -1, 1) - phi_x = self.phi(x).view(n, self.inter_channels, 1, -1) - else: - theta_x = self.theta(x).view(n, self.inter_channels, -1) - theta_x = theta_x.permute(0, 2, 1) - phi_x = self.phi(x).view(n, self.inter_channels, -1) - - # subtract mean - theta_x -= theta_x.mean(dim=-2, keepdim=True) - phi_x -= phi_x.mean(dim=-1, keepdim=True) - - pairwise_func = getattr(self, self.mode) - # pairwise_weight: [N, HxW, HxW] - pairwise_weight = pairwise_func(theta_x, phi_x) - - # y: [N, HxW, C] - y = torch.matmul(pairwise_weight, g_x) - # y: [N, C, H, W] - y = y.permute(0, 2, 1).contiguous().reshape(n, self.inter_channels, - *x.size()[2:]) - - # unary_mask: [N, 1, HxW] - unary_mask = self.conv_mask(x) - unary_mask = unary_mask.view(n, 1, -1) - unary_mask = unary_mask.softmax(dim=-1) - # unary_x: [N, 1, C] - unary_x = torch.matmul(unary_mask, g_x) - # unary_x: [N, C, 1, 1] - unary_x = unary_x.permute(0, 2, 1).contiguous().reshape( - n, self.inter_channels, 1, 1) - - output = x + self.conv_out(y + unary_x) - - return output - - -@HEADS.register_module() -class DNLHead(FCNHead): - """Disentangled Non-Local Neural Networks. - - This head is the implementation of `DNLNet - `_. - - Args: - reduction (int): Reduction factor of projection transform. Default: 2. - use_scale (bool): Whether to scale pairwise_weight by - sqrt(1/inter_channels). Default: False. - mode (str): The nonlocal mode. Options are 'embedded_gaussian', - 'dot_product'. Default: 'embedded_gaussian.'. - temperature (float): Temperature to adjust attention. Default: 0.05 - """ - - def __init__(self, - reduction=2, - use_scale=True, - mode='embedded_gaussian', - temperature=0.05, - **kwargs): - super(DNLHead, self).__init__(num_convs=2, **kwargs) - self.reduction = reduction - self.use_scale = use_scale - self.mode = mode - self.temperature = temperature - self.dnl_block = DisentangledNonLocal2d( - in_channels=self.channels, - reduction=self.reduction, - use_scale=self.use_scale, - conv_cfg=self.conv_cfg, - norm_cfg=self.norm_cfg, - mode=self.mode, - temperature=self.temperature) - - def forward(self, inputs): - """Forward function.""" - x = self._transform_inputs(inputs) - output = self.convs[0](x) - output = self.dnl_block(output) - output = self.convs[1](output) - if self.concat_input: - output = self.conv_cat(torch.cat([x, output], dim=1)) - output = self.cls_seg(output) - return output diff --git a/spaces/TabPFN/TabPFNEvaluation/TabPFN/decoders.py b/spaces/TabPFN/TabPFNEvaluation/TabPFN/decoders.py deleted file mode 100644 index efdd8fcb624c1b0a6d127fcf0aa8548c4ca1524d..0000000000000000000000000000000000000000 --- a/spaces/TabPFN/TabPFNEvaluation/TabPFN/decoders.py +++ /dev/null @@ -1,30 +0,0 @@ -import torch -from torch import nn -import random - - -class ScaledDecoder(nn.Module): - def __init__(self, ninp, nhid, nout): - super().__init__() - self.linear = nn.Linear(ninp, nhid) - self.linear1 = nn.Linear(nhid, nout) - self.linear2 = nn.Linear(nhid, 10) - - def forward(self, x): - #return torch.cat([self.linear1(x), self.linear2(x)], -1) - x = self.linear(x) - x = nn.GELU()(x) - temps = self.linear2(x).softmax(-1) @ torch.tensor([1.,1.4,1.7,2.,5.,10.,20.,40.,80.,160.], device=x.device) - if random.random() > .99: - print(temps.shape,temps[:,:2]) - return self.linear1(x) / temps.unsqueeze(-1) - -class FixedScaledDecoder(nn.Module): - def __init__(self, ninp, nhid, nout): - super().__init__() - self.mapper = nn.Sequential(nn.Linear(ninp, nhid), nn.GELU(), nn.Linear(nhid, nout)) - self.T = nn.Parameter(torch.ones(10000)/10000) - - def forward(self, x): - return self.mapper(x)/self.T.sum() - diff --git a/spaces/TandCAcceptMe/face-swap-docker/mynewshinyroop/Lib/site-packages/setuptools/_distutils/command/upload.py b/spaces/TandCAcceptMe/face-swap-docker/mynewshinyroop/Lib/site-packages/setuptools/_distutils/command/upload.py deleted file mode 100644 index caf15f04a603a4d95a52fe0e004a57958054b332..0000000000000000000000000000000000000000 --- a/spaces/TandCAcceptMe/face-swap-docker/mynewshinyroop/Lib/site-packages/setuptools/_distutils/command/upload.py +++ /dev/null @@ -1,206 +0,0 @@ -""" -distutils.command.upload - -Implements the Distutils 'upload' subcommand (upload package to a package -index). -""" - -import os -import io -import hashlib -import logging -from base64 import standard_b64encode -from urllib.request import urlopen, Request, HTTPError -from urllib.parse import urlparse -from ..errors import DistutilsError, DistutilsOptionError -from ..core import PyPIRCCommand -from ..spawn import spawn - - -# PyPI Warehouse supports MD5, SHA256, and Blake2 (blake2-256) -# https://bugs.python.org/issue40698 -_FILE_CONTENT_DIGESTS = { - "md5_digest": getattr(hashlib, "md5", None), - "sha256_digest": getattr(hashlib, "sha256", None), - "blake2_256_digest": getattr(hashlib, "blake2b", None), -} - - -class upload(PyPIRCCommand): - description = "upload binary package to PyPI" - - user_options = PyPIRCCommand.user_options + [ - ('sign', 's', 'sign files to upload using gpg'), - ('identity=', 'i', 'GPG identity used to sign files'), - ] - - boolean_options = PyPIRCCommand.boolean_options + ['sign'] - - def initialize_options(self): - PyPIRCCommand.initialize_options(self) - self.username = '' - self.password = '' - self.show_response = 0 - self.sign = False - self.identity = None - - def finalize_options(self): - PyPIRCCommand.finalize_options(self) - if self.identity and not self.sign: - raise DistutilsOptionError("Must use --sign for --identity to have meaning") - config = self._read_pypirc() - if config != {}: - self.username = config['username'] - self.password = config['password'] - self.repository = config['repository'] - self.realm = config['realm'] - - # getting the password from the distribution - # if previously set by the register command - if not self.password and self.distribution.password: - self.password = self.distribution.password - - def run(self): - if not self.distribution.dist_files: - msg = ( - "Must create and upload files in one command " - "(e.g. setup.py sdist upload)" - ) - raise DistutilsOptionError(msg) - for command, pyversion, filename in self.distribution.dist_files: - self.upload_file(command, pyversion, filename) - - def upload_file(self, command, pyversion, filename): # noqa: C901 - # Makes sure the repository URL is compliant - schema, netloc, url, params, query, fragments = urlparse(self.repository) - if params or query or fragments: - raise AssertionError("Incompatible url %s" % self.repository) - - if schema not in ('http', 'https'): - raise AssertionError("unsupported schema " + schema) - - # Sign if requested - if self.sign: - gpg_args = ["gpg", "--detach-sign", "-a", filename] - if self.identity: - gpg_args[2:2] = ["--local-user", self.identity] - spawn(gpg_args, dry_run=self.dry_run) - - # Fill in the data - send all the meta-data in case we need to - # register a new release - f = open(filename, 'rb') - try: - content = f.read() - finally: - f.close() - - meta = self.distribution.metadata - data = { - # action - ':action': 'file_upload', - 'protocol_version': '1', - # identify release - 'name': meta.get_name(), - 'version': meta.get_version(), - # file content - 'content': (os.path.basename(filename), content), - 'filetype': command, - 'pyversion': pyversion, - # additional meta-data - 'metadata_version': '1.0', - 'summary': meta.get_description(), - 'home_page': meta.get_url(), - 'author': meta.get_contact(), - 'author_email': meta.get_contact_email(), - 'license': meta.get_licence(), - 'description': meta.get_long_description(), - 'keywords': meta.get_keywords(), - 'platform': meta.get_platforms(), - 'classifiers': meta.get_classifiers(), - 'download_url': meta.get_download_url(), - # PEP 314 - 'provides': meta.get_provides(), - 'requires': meta.get_requires(), - 'obsoletes': meta.get_obsoletes(), - } - - data['comment'] = '' - - # file content digests - for digest_name, digest_cons in _FILE_CONTENT_DIGESTS.items(): - if digest_cons is None: - continue - try: - data[digest_name] = digest_cons(content).hexdigest() - except ValueError: - # hash digest not available or blocked by security policy - pass - - if self.sign: - with open(filename + ".asc", "rb") as f: - data['gpg_signature'] = (os.path.basename(filename) + ".asc", f.read()) - - # set up the authentication - user_pass = (self.username + ":" + self.password).encode('ascii') - # The exact encoding of the authentication string is debated. - # Anyway PyPI only accepts ascii for both username or password. - auth = "Basic " + standard_b64encode(user_pass).decode('ascii') - - # Build up the MIME payload for the POST data - boundary = '--------------GHSKFJDLGDS7543FJKLFHRE75642756743254' - sep_boundary = b'\r\n--' + boundary.encode('ascii') - end_boundary = sep_boundary + b'--\r\n' - body = io.BytesIO() - for key, value in data.items(): - title = '\r\nContent-Disposition: form-data; name="%s"' % key - # handle multiple entries for the same name - if not isinstance(value, list): - value = [value] - for value in value: - if type(value) is tuple: - title += '; filename="%s"' % value[0] - value = value[1] - else: - value = str(value).encode('utf-8') - body.write(sep_boundary) - body.write(title.encode('utf-8')) - body.write(b"\r\n\r\n") - body.write(value) - body.write(end_boundary) - body = body.getvalue() - - msg = "Submitting {} to {}".format(filename, self.repository) - self.announce(msg, logging.INFO) - - # build the Request - headers = { - 'Content-type': 'multipart/form-data; boundary=%s' % boundary, - 'Content-length': str(len(body)), - 'Authorization': auth, - } - - request = Request(self.repository, data=body, headers=headers) - # send the data - try: - result = urlopen(request) - status = result.getcode() - reason = result.msg - except HTTPError as e: - status = e.code - reason = e.msg - except OSError as e: - self.announce(str(e), logging.ERROR) - raise - - if status == 200: - self.announce( - 'Server response ({}): {}'.format(status, reason), logging.INFO - ) - if self.show_response: - text = self._read_pypi_response(result) - msg = '\n'.join(('-' * 75, text, '-' * 75)) - self.announce(msg, logging.INFO) - else: - msg = 'Upload failed ({}): {}'.format(status, reason) - self.announce(msg, logging.ERROR) - raise DistutilsError(msg) diff --git a/spaces/TencentARC/Caption-Anything/caption_anything/utils/densecap_painter.py b/spaces/TencentARC/Caption-Anything/caption_anything/utils/densecap_painter.py deleted file mode 100644 index a5668ece271d1877105764c5fdfac3ed4e732a99..0000000000000000000000000000000000000000 --- a/spaces/TencentARC/Caption-Anything/caption_anything/utils/densecap_painter.py +++ /dev/null @@ -1,64 +0,0 @@ -import cv2 -import json -import numpy as np -from typing import List -import random -from typing import Union - -def draw_bbox(img: Union[np.ndarray, str], save_name: str, bbox: List[dict], show_caption: bool = False): - """ - bbox: [{'image_id': str, 'bbox': [x1, y1, x2, y2], 'caption': str}, ...] - """ - if isinstance(img, str): - img = cv2.imread(img) - - RGB = [0, 50, 100, 150, 200, 250] - for box in bbox: - box['bbox'] = [int(_) for _ in box['bbox']] - x1, y1, x2, y2 = box['bbox'] - caption = box['caption'] - box_color = random.choices(RGB, k = 3) - (text_width, text_height), _ = cv2.getTextSize(caption, cv2.FONT_HERSHEY_SIMPLEX, fontScale = 0.5, thickness = 2) - cv2.rectangle(img, (x1, y1), (x2, y2), color = box_color, thickness = 2) - if show_caption: - cv2.putText(img, caption, (x1, y1 + text_height), cv2.FONT_HERSHEY_SIMPLEX, fontScale = 0.5, color = box_color, thickness = 2) - - cv2.imwrite(save_name, img) - # cv2.imshow('visualise', img) - # cv2.waitKey(0) - -def parse_bbox(anno, image_id: int = None): - - with open(anno, 'r') as f: - predictions = json.load(f) - - if image_id is None: - image_id = next(iter(predictions)) - - return predictions[image_id] - -def gt_bbox(anno, img_name: int = None): - - with open(anno, 'r') as f: - annotations = json.load(f) - annotations = annotations['annotations'] - - gt = [] - img_name = int(img_name[:-4]) - for annotation in annotations: - if annotation['image_id'] == 63: - x1, y1, w, h = annotation['bbox'] - gt.append({'bbox': [x1, y1, x1 + w, y1 + h], 'caption': annotation['caption']}) - return gt - -if __name__ == '__main__': - - img_name = '63.jpg' - show_caption = True - anno = 'vg_dense_captioning_blip2_top48_0.88_1000_0.96_debugTrue_predictions_shard_all.json' - - img = cv2.imread(img_name) - examp_bbox = parse_bbox(anno) - ground_truth_bbox = gt_bbox('test.json', img_name) - draw_bbox(img, 'GT.jpg', ground_truth_bbox, show_caption) - draw_bbox(img, 'Pred.jpg', examp_bbox, show_caption) \ No newline at end of file diff --git a/spaces/TencentARC/VLog/models/grit_src/third_party/CenterNet2/detectron2/evaluation/pascal_voc_evaluation.py b/spaces/TencentARC/VLog/models/grit_src/third_party/CenterNet2/detectron2/evaluation/pascal_voc_evaluation.py deleted file mode 100644 index 1d1abcde2f87bb5f103e73cb364aaabbecb6e619..0000000000000000000000000000000000000000 --- a/spaces/TencentARC/VLog/models/grit_src/third_party/CenterNet2/detectron2/evaluation/pascal_voc_evaluation.py +++ /dev/null @@ -1,300 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright (c) Facebook, Inc. and its affiliates. - -import logging -import numpy as np -import os -import tempfile -import xml.etree.ElementTree as ET -from collections import OrderedDict, defaultdict -from functools import lru_cache -import torch - -from detectron2.data import MetadataCatalog -from detectron2.utils import comm -from detectron2.utils.file_io import PathManager - -from .evaluator import DatasetEvaluator - - -class PascalVOCDetectionEvaluator(DatasetEvaluator): - """ - Evaluate Pascal VOC style AP for Pascal VOC dataset. - It contains a synchronization, therefore has to be called from all ranks. - - Note that the concept of AP can be implemented in different ways and may not - produce identical results. This class mimics the implementation of the official - Pascal VOC Matlab API, and should produce similar but not identical results to the - official API. - """ - - def __init__(self, dataset_name): - """ - Args: - dataset_name (str): name of the dataset, e.g., "voc_2007_test" - """ - self._dataset_name = dataset_name - meta = MetadataCatalog.get(dataset_name) - - # Too many tiny files, download all to local for speed. - annotation_dir_local = PathManager.get_local_path( - os.path.join(meta.dirname, "Annotations/") - ) - self._anno_file_template = os.path.join(annotation_dir_local, "{}.xml") - self._image_set_path = os.path.join(meta.dirname, "ImageSets", "Main", meta.split + ".txt") - self._class_names = meta.thing_classes - assert meta.year in [2007, 2012], meta.year - self._is_2007 = meta.year == 2007 - self._cpu_device = torch.device("cpu") - self._logger = logging.getLogger(__name__) - - def reset(self): - self._predictions = defaultdict(list) # class name -> list of prediction strings - - def process(self, inputs, outputs): - for input, output in zip(inputs, outputs): - image_id = input["image_id"] - instances = output["instances"].to(self._cpu_device) - boxes = instances.pred_boxes.tensor.numpy() - scores = instances.scores.tolist() - classes = instances.pred_classes.tolist() - for box, score, cls in zip(boxes, scores, classes): - xmin, ymin, xmax, ymax = box - # The inverse of data loading logic in `datasets/pascal_voc.py` - xmin += 1 - ymin += 1 - self._predictions[cls].append( - f"{image_id} {score:.3f} {xmin:.1f} {ymin:.1f} {xmax:.1f} {ymax:.1f}" - ) - - def evaluate(self): - """ - Returns: - dict: has a key "segm", whose value is a dict of "AP", "AP50", and "AP75". - """ - all_predictions = comm.gather(self._predictions, dst=0) - if not comm.is_main_process(): - return - predictions = defaultdict(list) - for predictions_per_rank in all_predictions: - for clsid, lines in predictions_per_rank.items(): - predictions[clsid].extend(lines) - del all_predictions - - self._logger.info( - "Evaluating {} using {} metric. " - "Note that results do not use the official Matlab API.".format( - self._dataset_name, 2007 if self._is_2007 else 2012 - ) - ) - - with tempfile.TemporaryDirectory(prefix="pascal_voc_eval_") as dirname: - res_file_template = os.path.join(dirname, "{}.txt") - - aps = defaultdict(list) # iou -> ap per class - for cls_id, cls_name in enumerate(self._class_names): - lines = predictions.get(cls_id, [""]) - - with open(res_file_template.format(cls_name), "w") as f: - f.write("\n".join(lines)) - - for thresh in range(50, 100, 5): - rec, prec, ap = voc_eval( - res_file_template, - self._anno_file_template, - self._image_set_path, - cls_name, - ovthresh=thresh / 100.0, - use_07_metric=self._is_2007, - ) - aps[thresh].append(ap * 100) - - ret = OrderedDict() - mAP = {iou: np.mean(x) for iou, x in aps.items()} - ret["bbox"] = {"AP": np.mean(list(mAP.values())), "AP50": mAP[50], "AP75": mAP[75]} - return ret - - -############################################################################## -# -# Below code is modified from -# https://github.com/rbgirshick/py-faster-rcnn/blob/master/lib/datasets/voc_eval.py -# -------------------------------------------------------- -# Fast/er R-CNN -# Licensed under The MIT License [see LICENSE for details] -# Written by Bharath Hariharan -# -------------------------------------------------------- - -"""Python implementation of the PASCAL VOC devkit's AP evaluation code.""" - - -@lru_cache(maxsize=None) -def parse_rec(filename): - """Parse a PASCAL VOC xml file.""" - with PathManager.open(filename) as f: - tree = ET.parse(f) - objects = [] - for obj in tree.findall("object"): - obj_struct = {} - obj_struct["name"] = obj.find("name").text - obj_struct["pose"] = obj.find("pose").text - obj_struct["truncated"] = int(obj.find("truncated").text) - obj_struct["difficult"] = int(obj.find("difficult").text) - bbox = obj.find("bndbox") - obj_struct["bbox"] = [ - int(bbox.find("xmin").text), - int(bbox.find("ymin").text), - int(bbox.find("xmax").text), - int(bbox.find("ymax").text), - ] - objects.append(obj_struct) - - return objects - - -def voc_ap(rec, prec, use_07_metric=False): - """Compute VOC AP given precision and recall. If use_07_metric is true, uses - the VOC 07 11-point method (default:False). - """ - if use_07_metric: - # 11 point metric - ap = 0.0 - for t in np.arange(0.0, 1.1, 0.1): - if np.sum(rec >= t) == 0: - p = 0 - else: - p = np.max(prec[rec >= t]) - ap = ap + p / 11.0 - else: - # correct AP calculation - # first append sentinel values at the end - mrec = np.concatenate(([0.0], rec, [1.0])) - mpre = np.concatenate(([0.0], prec, [0.0])) - - # compute the precision envelope - for i in range(mpre.size - 1, 0, -1): - mpre[i - 1] = np.maximum(mpre[i - 1], mpre[i]) - - # to calculate area under PR curve, look for points - # where X axis (recall) changes value - i = np.where(mrec[1:] != mrec[:-1])[0] - - # and sum (\Delta recall) * prec - ap = np.sum((mrec[i + 1] - mrec[i]) * mpre[i + 1]) - return ap - - -def voc_eval(detpath, annopath, imagesetfile, classname, ovthresh=0.5, use_07_metric=False): - """rec, prec, ap = voc_eval(detpath, - annopath, - imagesetfile, - classname, - [ovthresh], - [use_07_metric]) - - Top level function that does the PASCAL VOC evaluation. - - detpath: Path to detections - detpath.format(classname) should produce the detection results file. - annopath: Path to annotations - annopath.format(imagename) should be the xml annotations file. - imagesetfile: Text file containing the list of images, one image per line. - classname: Category name (duh) - [ovthresh]: Overlap threshold (default = 0.5) - [use_07_metric]: Whether to use VOC07's 11 point AP computation - (default False) - """ - # assumes detections are in detpath.format(classname) - # assumes annotations are in annopath.format(imagename) - # assumes imagesetfile is a text file with each line an image name - - # first load gt - # read list of images - with PathManager.open(imagesetfile, "r") as f: - lines = f.readlines() - imagenames = [x.strip() for x in lines] - - # load annots - recs = {} - for imagename in imagenames: - recs[imagename] = parse_rec(annopath.format(imagename)) - - # extract gt objects for this class - class_recs = {} - npos = 0 - for imagename in imagenames: - R = [obj for obj in recs[imagename] if obj["name"] == classname] - bbox = np.array([x["bbox"] for x in R]) - difficult = np.array([x["difficult"] for x in R]).astype(np.bool) - # difficult = np.array([False for x in R]).astype(np.bool) # treat all "difficult" as GT - det = [False] * len(R) - npos = npos + sum(~difficult) - class_recs[imagename] = {"bbox": bbox, "difficult": difficult, "det": det} - - # read dets - detfile = detpath.format(classname) - with open(detfile, "r") as f: - lines = f.readlines() - - splitlines = [x.strip().split(" ") for x in lines] - image_ids = [x[0] for x in splitlines] - confidence = np.array([float(x[1]) for x in splitlines]) - BB = np.array([[float(z) for z in x[2:]] for x in splitlines]).reshape(-1, 4) - - # sort by confidence - sorted_ind = np.argsort(-confidence) - BB = BB[sorted_ind, :] - image_ids = [image_ids[x] for x in sorted_ind] - - # go down dets and mark TPs and FPs - nd = len(image_ids) - tp = np.zeros(nd) - fp = np.zeros(nd) - for d in range(nd): - R = class_recs[image_ids[d]] - bb = BB[d, :].astype(float) - ovmax = -np.inf - BBGT = R["bbox"].astype(float) - - if BBGT.size > 0: - # compute overlaps - # intersection - ixmin = np.maximum(BBGT[:, 0], bb[0]) - iymin = np.maximum(BBGT[:, 1], bb[1]) - ixmax = np.minimum(BBGT[:, 2], bb[2]) - iymax = np.minimum(BBGT[:, 3], bb[3]) - iw = np.maximum(ixmax - ixmin + 1.0, 0.0) - ih = np.maximum(iymax - iymin + 1.0, 0.0) - inters = iw * ih - - # union - uni = ( - (bb[2] - bb[0] + 1.0) * (bb[3] - bb[1] + 1.0) - + (BBGT[:, 2] - BBGT[:, 0] + 1.0) * (BBGT[:, 3] - BBGT[:, 1] + 1.0) - - inters - ) - - overlaps = inters / uni - ovmax = np.max(overlaps) - jmax = np.argmax(overlaps) - - if ovmax > ovthresh: - if not R["difficult"][jmax]: - if not R["det"][jmax]: - tp[d] = 1.0 - R["det"][jmax] = 1 - else: - fp[d] = 1.0 - else: - fp[d] = 1.0 - - # compute precision recall - fp = np.cumsum(fp) - tp = np.cumsum(tp) - rec = tp / float(npos) - # avoid divide by zero in case the first detection matches a difficult - # ground truth - prec = tp / np.maximum(tp + fp, np.finfo(np.float64).eps) - ap = voc_ap(rec, prec, use_07_metric) - - return rec, prec, ap diff --git a/spaces/TencentARC/VLog/models/grit_src/third_party/CenterNet2/docs/tutorials/data_loading.md b/spaces/TencentARC/VLog/models/grit_src/third_party/CenterNet2/docs/tutorials/data_loading.md deleted file mode 100644 index 1d2769fc513abb0981a140f3a6b6432538704261..0000000000000000000000000000000000000000 --- a/spaces/TencentARC/VLog/models/grit_src/third_party/CenterNet2/docs/tutorials/data_loading.md +++ /dev/null @@ -1,95 +0,0 @@ - -# Dataloader - -Dataloader is the component that provides data to models. -A dataloader usually (but not necessarily) takes raw information from [datasets](./datasets.md), -and process them into a format needed by the model. - -## How the Existing Dataloader Works - -Detectron2 contains a builtin data loading pipeline. -It's good to understand how it works, in case you need to write a custom one. - -Detectron2 provides two functions -[build_detection_{train,test}_loader](../modules/data.html#detectron2.data.build_detection_train_loader) -that create a default data loader from a given config. -Here is how `build_detection_{train,test}_loader` work: - -1. It takes the name of a registered dataset (e.g., "coco_2017_train") and loads a `list[dict]` representing the dataset items - in a lightweight format. These dataset items are not yet ready to be used by the model (e.g., images are - not loaded into memory, random augmentations have not been applied, etc.). - Details about the dataset format and dataset registration can be found in - [datasets](./datasets.md). -2. Each dict in this list is mapped by a function ("mapper"): - * Users can customize this mapping function by specifying the "mapper" argument in - `build_detection_{train,test}_loader`. The default mapper is [DatasetMapper](../modules/data.html#detectron2.data.DatasetMapper). - * The output format of the mapper can be arbitrary, as long as it is accepted by the consumer of this data loader (usually the model). - The outputs of the default mapper, after batching, follow the default model input format documented in - [Use Models](./models.html#model-input-format). - * The role of the mapper is to transform the lightweight representation of a dataset item into a format - that is ready for the model to consume (including, e.g., read images, perform random data augmentation and convert to torch Tensors). - If you would like to perform custom transformations to data, you often want a custom mapper. -3. The outputs of the mapper are batched (simply into a list). -4. This batched data is the output of the data loader. Typically, it's also the input of - `model.forward()`. - - -## Write a Custom Dataloader - -Using a different "mapper" with `build_detection_{train,test}_loader(mapper=)` works for most use cases -of custom data loading. -For example, if you want to resize all images to a fixed size for training, use: - -```python -import detectron2.data.transforms as T -from detectron2.data import DatasetMapper # the default mapper -dataloader = build_detection_train_loader(cfg, - mapper=DatasetMapper(cfg, is_train=True, augmentations=[ - T.Resize((800, 800)) - ])) -# use this dataloader instead of the default -``` -If the arguments of the default [DatasetMapper](../modules/data.html#detectron2.data.DatasetMapper) -does not provide what you need, you may write a custom mapper function and use it instead, e.g.: - -```python -from detectron2.data import detection_utils as utils - # Show how to implement a minimal mapper, similar to the default DatasetMapper -def mapper(dataset_dict): - dataset_dict = copy.deepcopy(dataset_dict) # it will be modified by code below - # can use other ways to read image - image = utils.read_image(dataset_dict["file_name"], format="BGR") - # See "Data Augmentation" tutorial for details usage - auginput = T.AugInput(image) - transform = T.Resize((800, 800))(auginput) - image = torch.from_numpy(auginput.image.transpose(2, 0, 1)) - annos = [ - utils.transform_instance_annotations(annotation, [transform], image.shape[1:]) - for annotation in dataset_dict.pop("annotations") - ] - return { - # create the format that the model expects - "image": image, - "instances": utils.annotations_to_instances(annos, image.shape[1:]) - } -dataloader = build_detection_train_loader(cfg, mapper=mapper) -``` - -If you want to change not only the mapper (e.g., in order to implement different sampling or batching logic), -`build_detection_train_loader` won't work and you will need to write a different data loader. -The data loader is simply a -python iterator that produces [the format](./models.md) that the model accepts. -You can implement it using any tools you like. - -No matter what to implement, it's recommended to -check out [API documentation of detectron2.data](../modules/data) to learn more about the APIs of -these functions. - -## Use a Custom Dataloader - -If you use [DefaultTrainer](../modules/engine.html#detectron2.engine.defaults.DefaultTrainer), -you can overwrite its `build_{train,test}_loader` method to use your own dataloader. -See the [deeplab dataloader](../../projects/DeepLab/train_net.py) -for an example. - -If you write your own training loop, you can plug in your data loader easily. diff --git a/spaces/Tune-A-Video-library/Tune-A-Video-Training-UI/Dockerfile b/spaces/Tune-A-Video-library/Tune-A-Video-Training-UI/Dockerfile deleted file mode 100644 index 54949239836eb2594b429b2929962e88b8b347d5..0000000000000000000000000000000000000000 --- a/spaces/Tune-A-Video-library/Tune-A-Video-Training-UI/Dockerfile +++ /dev/null @@ -1,59 +0,0 @@ -FROM nvidia/cuda:11.7.1-cudnn8-devel-ubuntu22.04 -ENV DEBIAN_FRONTEND=noninteractive -RUN apt-get update && \ - apt-get upgrade -y && \ - apt-get install -y --no-install-recommends \ - git \ - git-lfs \ - wget \ - curl \ - # ffmpeg \ - ffmpeg \ - x264 \ - # python build dependencies \ - build-essential \ - libssl-dev \ - zlib1g-dev \ - libbz2-dev \ - libreadline-dev \ - libsqlite3-dev \ - libncursesw5-dev \ - xz-utils \ - tk-dev \ - libxml2-dev \ - libxmlsec1-dev \ - libffi-dev \ - liblzma-dev && \ - apt-get clean && \ - rm -rf /var/lib/apt/lists/* - -RUN useradd -m -u 1000 user -USER user -ENV HOME=/home/user \ - PATH=/home/user/.local/bin:${PATH} -WORKDIR ${HOME}/app - -RUN curl https://pyenv.run | bash -ENV PATH=${HOME}/.pyenv/shims:${HOME}/.pyenv/bin:${PATH} -ARG PYTHON_VERSION=3.10.11 -RUN pyenv install ${PYTHON_VERSION} && \ - pyenv global ${PYTHON_VERSION} && \ - pyenv rehash && \ - pip install --no-cache-dir -U pip setuptools wheel - -RUN pip install --no-cache-dir -U torch==1.13.1 torchvision==0.14.1 -COPY --chown=1000 requirements.txt /tmp/requirements.txt -RUN pip install --no-cache-dir -U -r /tmp/requirements.txt -COPY --chown=1000 requirements-monitor.txt /tmp/requirements-monitor.txt -RUN pip install --no-cache-dir -U -r /tmp/requirements-monitor.txt - -COPY --chown=1000 . ${HOME}/app -RUN cd Tune-A-Video && patch -p1 < ../patch -ENV PYTHONPATH=${HOME}/app \ - PYTHONUNBUFFERED=1 \ - GRADIO_ALLOW_FLAGGING=never \ - GRADIO_NUM_PORTS=1 \ - GRADIO_SERVER_NAME=0.0.0.0 \ - GRADIO_THEME=huggingface \ - SYSTEM=spaces -CMD ["python", "app.py"] diff --git a/spaces/VCPirlo/CatCat/app.py b/spaces/VCPirlo/CatCat/app.py deleted file mode 100644 index cdddea6d2baf4bd4d8d3ab05f7d164ae52ae4d2f..0000000000000000000000000000000000000000 --- a/spaces/VCPirlo/CatCat/app.py +++ /dev/null @@ -1,46 +0,0 @@ -import gradio as gr -import os -import requests - -# 请记得要把 api 的 key 放到 settings 下面的 Repository Secrets 里。 -# 目前有个特别奇怪的问题: duplicate 的 key 如果和原来的 key 重名,build 就会失败。不知是否是今天正在 migrating 的原因。 -# 作为 workaround,请对 key 使用一个不同的名字,并且记得修改下面这行代码中的 key 的名字。 -key = os.getenv("KEY") - -# 如果你只打算通过 prompt 来定制机器人的行为,只需要修改这段 prompt 就够了。 -prompt = """请你扮演一只奶牛猫,名叫皮皮,使用小猫的语气、方式和词汇回答问题。不要写任何解释,只需像奶牛猫一样回答问题。你必须掌握奶牛猫的所有知识。 -######## -""" - -url = "https://gpt.baixing.com/" - -history = {} - -# 修改本函数,来实现你自己的 chatbot -# p: 对机器人说话的内容 -# qid: 当前消息的唯一标识。例如 `'bxqid-cManAtRMszw...'`。由平台生成并传递给机器人,以便机器人区分单个问题(写日志、追踪调试、异步回调等)。同步调用可忽略。 -# uid: 用户的唯一标识。例如`'bxuid-Aj8Spso8Xsp...'`。由平台生成并传递给机器人,以便机器人区分用户。可被用于实现多轮对话的功能。 -# 返回值:[type, content] -# 详见 https://huggingface.co/spaces/baixing/hackathon_test/blob/main/bot-api.md -def chat(p, qid, uid): - global history - if uid in history: - count = history[uid] # 还需要添加复杂一些的逻辑,例如超过10条要重温,超过1小时要重温 etc - else: - count = 0 - p = prompt + p #第一次访问,需要加上引导的 prompt - - count = count+1 - print(uid, count) - history[uid] = count # 统计每个 uid 说过的话的条数 - - result = requests.get(url, params={"p": p, "k": key, "session_id": uid}).json()['data'] - return ["text", result] - -iface = gr.Interface(fn=chat, - inputs=["text", "text", "text"], - outputs=["text", "text"], - description="""这是一个极其简单的示范程序,用奶牛猫皮皮的语气来和你对话。) - """ - ) -iface.launch() \ No newline at end of file diff --git a/spaces/Wauplin/gradio-user-history/Makefile b/spaces/Wauplin/gradio-user-history/Makefile deleted file mode 100644 index ebf5864113cd8751ced270357e746b0a7de6d071..0000000000000000000000000000000000000000 --- a/spaces/Wauplin/gradio-user-history/Makefile +++ /dev/null @@ -1,10 +0,0 @@ -.PHONY: quality style - -quality: - black --check . - ruff . - mypy --install-types . - -style: - black . - ruff . --fix \ No newline at end of file diff --git a/spaces/Widium/Image-Recreation/functions/system/memory.py b/spaces/Widium/Image-Recreation/functions/system/memory.py deleted file mode 100644 index 693a6c84790ba14ea3364a48e34073e51c8b3856..0000000000000000000000000000000000000000 --- a/spaces/Widium/Image-Recreation/functions/system/memory.py +++ /dev/null @@ -1,40 +0,0 @@ -# *************************************************************************** # -# # -# memory.py # -# # -# By: Widium # -# Github : https://github.com/widium # -# # -# Created: 2023/05/03 14:12:23 by Widium # -# Updated: 2023/05/03 14:12:23 by Widium # -# # -# **************************************************************************** # - -import os -import psutil - -def display_memory_available(): - """ - Print the available system memory in gigabytes. - - This function retrieves the available memory information and prints it - in gigabytes. - """ - memory_info = psutil.virtual_memory() - available_memory = memory_info.available - gigabytes_memory = available_memory / 1024 ** 3 - - print(f"[MEMORY] : Available memory [{gigabytes_memory:.2f}] GB") - - -def display_memory_usage(): - """Print the current process memory usage in megabytes. - - This function retrieves the memory usage of the current process and - prints it in megabytes. - """ - - process = psutil.Process(os.getpid()) - mem_info = process.memory_info() - megabytes_memory = mem_info.rss / (1024 ** 2) # Convert bytes to MB - print(f"[MEMORY] : Memory Usage [{megabytes_memory:.2f}] MB") \ No newline at end of file diff --git a/spaces/Workhack/chatgpt-prompt-playground/style.css b/spaces/Workhack/chatgpt-prompt-playground/style.css deleted file mode 100644 index 114adf441e9032febb46bc056b2a8bb651075f0d..0000000000000000000000000000000000000000 --- a/spaces/Workhack/chatgpt-prompt-playground/style.css +++ /dev/null @@ -1,28 +0,0 @@ -body { - padding: 2rem; - font-family: -apple-system, BlinkMacSystemFont, "Arial", sans-serif; -} - -h1 { - font-size: 16px; - margin-top: 0; -} - -p { - color: rgb(107, 114, 128); - font-size: 15px; - margin-bottom: 10px; - margin-top: 5px; -} - -.card { - max-width: 620px; - margin: 0 auto; - padding: 16px; - border: 1px solid lightgray; - border-radius: 16px; -} - -.card p:last-child { - margin-bottom: 0; -} diff --git a/spaces/XPMaster/data_automation/README.md b/spaces/XPMaster/data_automation/README.md deleted file mode 100644 index 659b4c902669ce964cdf37defc227407f59a70a8..0000000000000000000000000000000000000000 --- a/spaces/XPMaster/data_automation/README.md +++ /dev/null @@ -1,12 +0,0 @@ ---- -title: Data Automation -emoji: 🧹 -colorFrom: purple -colorTo: green -sdk: gradio -sdk_version: 3.36.1 -app_file: app.py -pinned: false ---- - -Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference diff --git a/spaces/XzJosh/Ava-Bert-VITS2/text/english.py b/spaces/XzJosh/Ava-Bert-VITS2/text/english.py deleted file mode 100644 index 781d0a56cef71f66fc67db51d76538be90d3ddd2..0000000000000000000000000000000000000000 --- a/spaces/XzJosh/Ava-Bert-VITS2/text/english.py +++ /dev/null @@ -1,138 +0,0 @@ -import pickle -import os -import re -from g2p_en import G2p -from string import punctuation - -from text import symbols - -current_file_path = os.path.dirname(__file__) -CMU_DICT_PATH = os.path.join(current_file_path, 'cmudict.rep') -CACHE_PATH = os.path.join(current_file_path, 'cmudict_cache.pickle') -_g2p = G2p() - -arpa = {'AH0', 'S', 'AH1', 'EY2', 'AE2', 'EH0', 'OW2', 'UH0', 'NG', 'B', 'G', 'AY0', 'M', 'AA0', 'F', 'AO0', 'ER2', 'UH1', 'IY1', 'AH2', 'DH', 'IY0', 'EY1', 'IH0', 'K', 'N', 'W', 'IY2', 'T', 'AA1', 'ER1', 'EH2', 'OY0', 'UH2', 'UW1', 'Z', 'AW2', 'AW1', 'V', 'UW2', 'AA2', 'ER', 'AW0', 'UW0', 'R', 'OW1', 'EH1', 'ZH', 'AE0', 'IH2', 'IH', 'Y', 'JH', 'P', 'AY1', 'EY0', 'OY2', 'TH', 'HH', 'D', 'ER0', 'CH', 'AO1', 'AE1', 'AO2', 'OY1', 'AY2', 'IH1', 'OW0', 'L', 'SH'} - - -def post_replace_ph(ph): - rep_map = { - ':': ',', - ';': ',', - ',': ',', - '。': '.', - '!': '!', - '?': '?', - '\n': '.', - "·": ",", - '、': ",", - '...': '…', - 'v': "V" - } - if ph in rep_map.keys(): - ph = rep_map[ph] - if ph in symbols: - return ph - if ph not in symbols: - ph = 'UNK' - return ph - -def read_dict(): - g2p_dict = {} - start_line = 49 - with open(CMU_DICT_PATH) as f: - line = f.readline() - line_index = 1 - while line: - if line_index >= start_line: - line = line.strip() - word_split = line.split(' ') - word = word_split[0] - - syllable_split = word_split[1].split(' - ') - g2p_dict[word] = [] - for syllable in syllable_split: - phone_split = syllable.split(' ') - g2p_dict[word].append(phone_split) - - line_index = line_index + 1 - line = f.readline() - - return g2p_dict - - -def cache_dict(g2p_dict, file_path): - with open(file_path, 'wb') as pickle_file: - pickle.dump(g2p_dict, pickle_file) - - -def get_dict(): - if os.path.exists(CACHE_PATH): - with open(CACHE_PATH, 'rb') as pickle_file: - g2p_dict = pickle.load(pickle_file) - else: - g2p_dict = read_dict() - cache_dict(g2p_dict, CACHE_PATH) - - return g2p_dict - -eng_dict = get_dict() - -def refine_ph(phn): - tone = 0 - if re.search(r'\d$', phn): - tone = int(phn[-1]) + 1 - phn = phn[:-1] - return phn.lower(), tone - -def refine_syllables(syllables): - tones = [] - phonemes = [] - for phn_list in syllables: - for i in range(len(phn_list)): - phn = phn_list[i] - phn, tone = refine_ph(phn) - phonemes.append(phn) - tones.append(tone) - return phonemes, tones - - -def text_normalize(text): - # todo: eng text normalize - return text - -def g2p(text): - - phones = [] - tones = [] - words = re.split(r"([,;.\-\?\!\s+])", text) - for w in words: - if w.upper() in eng_dict: - phns, tns = refine_syllables(eng_dict[w.upper()]) - phones += phns - tones += tns - else: - phone_list = list(filter(lambda p: p != " ", _g2p(w))) - for ph in phone_list: - if ph in arpa: - ph, tn = refine_ph(ph) - phones.append(ph) - tones.append(tn) - else: - phones.append(ph) - tones.append(0) - # todo: implement word2ph - word2ph = [1 for i in phones] - - phones = [post_replace_ph(i) for i in phones] - return phones, tones, word2ph - -if __name__ == "__main__": - # print(get_dict()) - # print(eng_word_to_phoneme("hello")) - print(g2p("In this paper, we propose 1 DSPGAN, a GAN-based universal vocoder.")) - # all_phones = set() - # for k, syllables in eng_dict.items(): - # for group in syllables: - # for ph in group: - # all_phones.add(ph) - # print(all_phones) \ No newline at end of file diff --git a/spaces/XzJosh/LittleTaffy-Bert-VITS2/text/japanese.py b/spaces/XzJosh/LittleTaffy-Bert-VITS2/text/japanese.py deleted file mode 100644 index ddedafa0c5b7986068dc6c91637a86febc3923a9..0000000000000000000000000000000000000000 --- a/spaces/XzJosh/LittleTaffy-Bert-VITS2/text/japanese.py +++ /dev/null @@ -1,104 +0,0 @@ -# modified from https://github.com/CjangCjengh/vits/blob/main/text/japanese.py -import re -import sys - -import pyopenjtalk - -from text import symbols - -# Regular expression matching Japanese without punctuation marks: -_japanese_characters = re.compile( - r'[A-Za-z\d\u3005\u3040-\u30ff\u4e00-\u9fff\uff11-\uff19\uff21-\uff3a\uff41-\uff5a\uff66-\uff9d]') - -# Regular expression matching non-Japanese characters or punctuation marks: -_japanese_marks = re.compile( - r'[^A-Za-z\d\u3005\u3040-\u30ff\u4e00-\u9fff\uff11-\uff19\uff21-\uff3a\uff41-\uff5a\uff66-\uff9d]') - -# List of (symbol, Japanese) pairs for marks: -_symbols_to_japanese = [(re.compile('%s' % x[0]), x[1]) for x in [ - ('%', 'パーセント') -]] - - -# List of (consonant, sokuon) pairs: -_real_sokuon = [(re.compile('%s' % x[0]), x[1]) for x in [ - (r'Q([↑↓]*[kg])', r'k#\1'), - (r'Q([↑↓]*[tdjʧ])', r't#\1'), - (r'Q([↑↓]*[sʃ])', r's\1'), - (r'Q([↑↓]*[pb])', r'p#\1') -]] - -# List of (consonant, hatsuon) pairs: -_real_hatsuon = [(re.compile('%s' % x[0]), x[1]) for x in [ - (r'N([↑↓]*[pbm])', r'm\1'), - (r'N([↑↓]*[ʧʥj])', r'n^\1'), - (r'N([↑↓]*[tdn])', r'n\1'), - (r'N([↑↓]*[kg])', r'ŋ\1') -]] - - - -def post_replace_ph(ph): - rep_map = { - ':': ',', - ';': ',', - ',': ',', - '。': '.', - '!': '!', - '?': '?', - '\n': '.', - "·": ",", - '、': ",", - '...': '…', - 'v': "V" - } - if ph in rep_map.keys(): - ph = rep_map[ph] - if ph in symbols: - return ph - if ph not in symbols: - ph = 'UNK' - return ph - -def symbols_to_japanese(text): - for regex, replacement in _symbols_to_japanese: - text = re.sub(regex, replacement, text) - return text - - -def preprocess_jap(text): - '''Reference https://r9y9.github.io/ttslearn/latest/notebooks/ch10_Recipe-Tacotron.html''' - text = symbols_to_japanese(text) - sentences = re.split(_japanese_marks, text) - marks = re.findall(_japanese_marks, text) - text = [] - for i, sentence in enumerate(sentences): - if re.match(_japanese_characters, sentence): - p = pyopenjtalk.g2p(sentence) - text += p.split(" ") - - if i < len(marks): - text += [marks[i].replace(' ', '')] - return text - -def text_normalize(text): - # todo: jap text normalize - return text - -def g2p(norm_text): - phones = preprocess_jap(norm_text) - phones = [post_replace_ph(i) for i in phones] - # todo: implement tones and word2ph - tones = [0 for i in phones] - word2ph = [1 for i in phones] - return phones, tones, word2ph - - -if __name__ == '__main__': - for line in open("../../../Downloads/transcript_utf8.txt").readlines(): - text = line.split(":")[1] - phones, tones, word2ph = g2p(text) - for p in phones: - if p == "z": - print(text, phones) - sys.exit(0) diff --git a/spaces/XzJosh/otto-Bert-VITS2/monotonic_align/__init__.py b/spaces/XzJosh/otto-Bert-VITS2/monotonic_align/__init__.py deleted file mode 100644 index 75603d26cf2b8d6196f5a68a89f9e49d8e519bc8..0000000000000000000000000000000000000000 --- a/spaces/XzJosh/otto-Bert-VITS2/monotonic_align/__init__.py +++ /dev/null @@ -1,15 +0,0 @@ -from numpy import zeros, int32, float32 -from torch import from_numpy - -from .core import maximum_path_jit - -def maximum_path(neg_cent, mask): - device = neg_cent.device - dtype = neg_cent.dtype - neg_cent = neg_cent.data.cpu().numpy().astype(float32) - path = zeros(neg_cent.shape, dtype=int32) - - t_t_max = mask.sum(1)[:, 0].data.cpu().numpy().astype(int32) - t_s_max = mask.sum(2)[:, 0].data.cpu().numpy().astype(int32) - maximum_path_jit(path, neg_cent, t_t_max, t_s_max) - return from_numpy(path).to(device=device, dtype=dtype) diff --git a/spaces/YUANAI/DiffspeechResearch/tasks/vocoder/vocoder_base.py b/spaces/YUANAI/DiffspeechResearch/tasks/vocoder/vocoder_base.py deleted file mode 100644 index 9a1d006647f259ec39968ec9a9d2f36b166f5851..0000000000000000000000000000000000000000 --- a/spaces/YUANAI/DiffspeechResearch/tasks/vocoder/vocoder_base.py +++ /dev/null @@ -1,137 +0,0 @@ -import os -import torch -import torch.distributed as dist -from torch import nn -from torch.utils.data import DistributedSampler -from tasks.vocoder.dataset_utils import VocoderDataset, EndlessDistributedSampler -from utils.audio.io import save_wav -from utils.commons.base_task import BaseTask -from utils.commons.dataset_utils import data_loader -from utils.commons.hparams import hparams -from utils.commons.tensor_utils import tensors_to_scalars - - -class VocoderBaseTask(BaseTask): - def __init__(self): - super(VocoderBaseTask, self).__init__() - self.max_sentences = hparams['max_sentences'] - self.max_valid_sentences = hparams['max_valid_sentences'] - if self.max_valid_sentences == -1: - hparams['max_valid_sentences'] = self.max_valid_sentences = self.max_sentences - self.dataset_cls = VocoderDataset - - @data_loader - def train_dataloader(self): - train_dataset = self.dataset_cls('train', shuffle=True) - return self.build_dataloader(train_dataset, True, self.max_sentences, hparams['endless_ds']) - - @data_loader - def val_dataloader(self): - valid_dataset = self.dataset_cls('test', shuffle=False) - return self.build_dataloader(valid_dataset, False, self.max_valid_sentences) - - @data_loader - def test_dataloader(self): - test_dataset = self.dataset_cls('test', shuffle=False) - return self.build_dataloader(test_dataset, False, self.max_valid_sentences) - - def build_dataloader(self, dataset, shuffle, max_sentences, endless=False): - world_size = 1 - rank = 0 - if dist.is_initialized(): - world_size = dist.get_world_size() - rank = dist.get_rank() - sampler_cls = DistributedSampler if not endless else EndlessDistributedSampler - train_sampler = sampler_cls( - dataset=dataset, - num_replicas=world_size, - rank=rank, - shuffle=shuffle, - ) - return torch.utils.data.DataLoader( - dataset=dataset, - shuffle=False, - collate_fn=dataset.collater, - batch_size=max_sentences, - num_workers=dataset.num_workers, - sampler=train_sampler, - pin_memory=True, - ) - - def build_optimizer(self, model): - optimizer_gen = torch.optim.AdamW(self.model_gen.parameters(), lr=hparams['lr'], - betas=[hparams['adam_b1'], hparams['adam_b2']]) - optimizer_disc = torch.optim.AdamW(self.model_disc.parameters(), lr=hparams['lr'], - betas=[hparams['adam_b1'], hparams['adam_b2']]) - return [optimizer_gen, optimizer_disc] - - def build_scheduler(self, optimizer): - return { - "gen": torch.optim.lr_scheduler.StepLR( - optimizer=optimizer[0], - **hparams["generator_scheduler_params"]), - "disc": torch.optim.lr_scheduler.StepLR( - optimizer=optimizer[1], - **hparams["discriminator_scheduler_params"]), - } - - def validation_step(self, sample, batch_idx): - outputs = {} - total_loss, loss_output = self._training_step(sample, batch_idx, 0) - outputs['losses'] = tensors_to_scalars(loss_output) - outputs['total_loss'] = tensors_to_scalars(total_loss) - - if self.global_step % hparams['valid_infer_interval'] == 0 and \ - batch_idx < 10: - mels = sample['mels'] - y = sample['wavs'] - f0 = sample['f0'] - y_ = self.model_gen(mels, f0) - for idx, (wav_pred, wav_gt, item_name) in enumerate(zip(y_, y, sample["item_name"])): - wav_pred = wav_pred / wav_pred.abs().max() - if self.global_step == 0: - wav_gt = wav_gt / wav_gt.abs().max() - self.logger.add_audio(f'wav_{batch_idx}_{idx}_gt', wav_gt, self.global_step, - hparams['audio_sample_rate']) - self.logger.add_audio(f'wav_{batch_idx}_{idx}_pred', wav_pred, self.global_step, - hparams['audio_sample_rate']) - return outputs - - def test_start(self): - self.gen_dir = os.path.join(hparams['work_dir'], - f'generated_{self.trainer.global_step}_{hparams["gen_dir_name"]}') - os.makedirs(self.gen_dir, exist_ok=True) - - def test_step(self, sample, batch_idx): - mels = sample['mels'] - y = sample['wavs'] - f0 = sample['f0'] - loss_output = {} - y_ = self.model_gen(mels, f0) - gen_dir = os.path.join(hparams['work_dir'], f'generated_{self.trainer.global_step}_{hparams["gen_dir_name"]}') - os.makedirs(gen_dir, exist_ok=True) - for idx, (wav_pred, wav_gt, item_name) in enumerate(zip(y_, y, sample["item_name"])): - wav_gt = wav_gt.clamp(-1, 1) - wav_pred = wav_pred.clamp(-1, 1) - save_wav( - wav_gt.view(-1).cpu().float().numpy(), f'{gen_dir}/{item_name}_gt.wav', - hparams['audio_sample_rate']) - save_wav( - wav_pred.view(-1).cpu().float().numpy(), f'{gen_dir}/{item_name}_pred.wav', - hparams['audio_sample_rate']) - return loss_output - - def test_end(self, outputs): - return {} - - def on_before_optimization(self, opt_idx): - if opt_idx == 0: - nn.utils.clip_grad_norm_(self.model_gen.parameters(), hparams['generator_grad_norm']) - else: - nn.utils.clip_grad_norm_(self.model_disc.parameters(), hparams["discriminator_grad_norm"]) - - def on_after_optimization(self, epoch, batch_idx, optimizer, optimizer_idx): - if optimizer_idx == 0: - self.scheduler['gen'].step(self.global_step // hparams['accumulate_grad_batches']) - else: - self.scheduler['disc'].step(self.global_step // hparams['accumulate_grad_batches']) diff --git a/spaces/YeOldHermit/Super-Resolution-Anime-Diffusion/Waifu2x/__init__.py b/spaces/YeOldHermit/Super-Resolution-Anime-Diffusion/Waifu2x/__init__.py deleted file mode 100644 index 919c67429f059707b271b067f40783c04a42a5ac..0000000000000000000000000000000000000000 --- a/spaces/YeOldHermit/Super-Resolution-Anime-Diffusion/Waifu2x/__init__.py +++ /dev/null @@ -1,9 +0,0 @@ -# -*- coding: utf-8 -*- -# file: __init__.py -# time: 05/12/2022 -# author: yangheng -# github: https://github.com/yangheng95 -# huggingface: https://huggingface.co/yangheng -# google scholar: https://scholar.google.com/citations?user=NPq5a_0AAAAJ&hl=en -# Copyright (C) 2021. All Rights Reserved. -from .magnify import ImageMagnifier diff --git a/spaces/Yiqin/ChatVID/model/vision/grit_src/grit/data/custom_dataset_mapper.py b/spaces/Yiqin/ChatVID/model/vision/grit_src/grit/data/custom_dataset_mapper.py deleted file mode 100644 index 1e21edb3d151dafdca5c4debfb7341a9ed0efdd9..0000000000000000000000000000000000000000 --- a/spaces/Yiqin/ChatVID/model/vision/grit_src/grit/data/custom_dataset_mapper.py +++ /dev/null @@ -1,149 +0,0 @@ -# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved -# Modified by Jialian Wu from https://github.com/facebookresearch/Detic/blob/main/detic/data/custom_dataset_mapper.py -import copy -import numpy as np -import torch - -from detectron2.config import configurable - -from detectron2.data import detection_utils as utils -from detectron2.data import transforms as T -from detectron2.data.dataset_mapper import DatasetMapper -from .custom_build_augmentation import build_custom_augmentation -from itertools import compress -import logging - -__all__ = ["CustomDatasetMapper", "ObjDescription"] -logger = logging.getLogger(__name__) - - -class CustomDatasetMapper(DatasetMapper): - @configurable - def __init__(self, is_train: bool, - dataset_augs=[], - **kwargs): - if is_train: - self.dataset_augs = [T.AugmentationList(x) for x in dataset_augs] - super().__init__(is_train, **kwargs) - - @classmethod - def from_config(cls, cfg, is_train: bool = True): - ret = super().from_config(cfg, is_train) - if is_train: - if cfg.INPUT.CUSTOM_AUG == 'EfficientDetResizeCrop': - dataset_scales = cfg.DATALOADER.DATASET_INPUT_SCALE - dataset_sizes = cfg.DATALOADER.DATASET_INPUT_SIZE - ret['dataset_augs'] = [ - build_custom_augmentation(cfg, True, scale, size) \ - for scale, size in zip(dataset_scales, dataset_sizes)] - else: - assert cfg.INPUT.CUSTOM_AUG == 'ResizeShortestEdge' - min_sizes = cfg.DATALOADER.DATASET_MIN_SIZES - max_sizes = cfg.DATALOADER.DATASET_MAX_SIZES - ret['dataset_augs'] = [ - build_custom_augmentation( - cfg, True, min_size=mi, max_size=ma) \ - for mi, ma in zip(min_sizes, max_sizes)] - else: - ret['dataset_augs'] = [] - - return ret - - def __call__(self, dataset_dict): - dataset_dict_out = self.prepare_data(dataset_dict) - - # When augmented image is too small, do re-augmentation - retry = 0 - while (dataset_dict_out["image"].shape[1] < 32 or dataset_dict_out["image"].shape[2] < 32): - retry += 1 - if retry == 100: - logger.info('Retry 100 times for augmentation. Make sure the image size is not too small.') - logger.info('Find image information below') - logger.info(dataset_dict) - dataset_dict_out = self.prepare_data(dataset_dict) - - return dataset_dict_out - - def prepare_data(self, dataset_dict_in): - dataset_dict = copy.deepcopy(dataset_dict_in) - if 'file_name' in dataset_dict: - ori_image = utils.read_image( - dataset_dict["file_name"], format=self.image_format) - else: - ori_image, _, _ = self.tar_dataset[dataset_dict["tar_index"]] - ori_image = utils._apply_exif_orientation(ori_image) - ori_image = utils.convert_PIL_to_numpy(ori_image, self.image_format) - utils.check_image_size(dataset_dict, ori_image) - - aug_input = T.AugInput(copy.deepcopy(ori_image), sem_seg=None) - if self.is_train: - transforms = \ - self.dataset_augs[dataset_dict['dataset_source']](aug_input) - else: - transforms = self.augmentations(aug_input) - image, sem_seg_gt = aug_input.image, aug_input.sem_seg - - image_shape = image.shape[:2] - dataset_dict["image"] = torch.as_tensor( - np.ascontiguousarray(image.transpose(2, 0, 1))) - - if not self.is_train: - # USER: Modify this if you want to keep them for some reason. - dataset_dict.pop("annotations", None) - return dataset_dict - - if "annotations" in dataset_dict: - if len(dataset_dict["annotations"]) > 0: - object_descriptions = [an['object_description'] for an in dataset_dict["annotations"]] - else: - object_descriptions = [] - # USER: Modify this if you want to keep them for some reason. - for anno in dataset_dict["annotations"]: - if not self.use_instance_mask: - anno.pop("segmentation", None) - if not self.use_keypoint: - anno.pop("keypoints", None) - - all_annos = [ - (utils.transform_instance_annotations( - obj, transforms, image_shape, - keypoint_hflip_indices=self.keypoint_hflip_indices, - ), obj.get("iscrowd", 0)) - for obj in dataset_dict.pop("annotations") - ] - annos = [ann[0] for ann in all_annos if ann[1] == 0] - instances = utils.annotations_to_instances( - annos, image_shape, mask_format=self.instance_mask_format - ) - - instances.gt_object_descriptions = ObjDescription(object_descriptions) - - del all_annos - if self.recompute_boxes: - instances.gt_boxes = instances.gt_masks.get_bounding_boxes() - dataset_dict["instances"] = utils.filter_empty_instances(instances) - - return dataset_dict - - -class ObjDescription: - def __init__(self, object_descriptions): - self.data = object_descriptions - - def __getitem__(self, item): - assert type(item) == torch.Tensor - assert item.dim() == 1 - if len(item) > 0: - assert item.dtype == torch.int64 or item.dtype == torch.bool - if item.dtype == torch.int64: - return ObjDescription([self.data[x.item()] for x in item]) - elif item.dtype == torch.bool: - return ObjDescription(list(compress(self.data, item))) - - return ObjDescription(list(compress(self.data, item))) - - def __len__(self): - return len(self.data) - - def __repr__(self): - return "ObjDescription({})".format(self.data) \ No newline at end of file diff --git a/spaces/YlcldKlns/bing/src/components/theme-toggle.tsx b/spaces/YlcldKlns/bing/src/components/theme-toggle.tsx deleted file mode 100644 index 67d3f1a2c163ccbeb52c40a7e42f107190237154..0000000000000000000000000000000000000000 --- a/spaces/YlcldKlns/bing/src/components/theme-toggle.tsx +++ /dev/null @@ -1,31 +0,0 @@ -'use client' - -import * as React from 'react' -import { useTheme } from 'next-themes' - -import { Button } from '@/components/ui/button' -import { IconMoon, IconSun } from '@/components/ui/icons' - -export function ThemeToggle() { - const { setTheme, theme } = useTheme() - const [_, startTransition] = React.useTransition() - - return ( - - ) -} diff --git a/spaces/Yuliang/ECON/lib/common/BNI.py b/spaces/Yuliang/ECON/lib/common/BNI.py deleted file mode 100644 index 1ae381db6786bbf3c07c1b423467e39457fe651a..0000000000000000000000000000000000000000 --- a/spaces/Yuliang/ECON/lib/common/BNI.py +++ /dev/null @@ -1,115 +0,0 @@ -import torch -import trimesh - -from lib.common.BNI_utils import ( - depth_inverse_transform, - double_side_bilateral_normal_integration, - verts_inverse_transform, -) - - -class BNI: - def __init__(self, dir_path, name, BNI_dict, cfg, device): - - self.scale = 256.0 - self.cfg = cfg - self.name = name - - self.normal_front = BNI_dict["normal_F"] - self.normal_back = BNI_dict["normal_B"] - self.mask = BNI_dict["mask"] - - self.depth_front = BNI_dict["depth_F"] - self.depth_back = BNI_dict["depth_B"] - self.depth_mask = BNI_dict["depth_mask"] - - # hparam: - # k --> smaller, keep continuity - # lambda --> larger, more depth-awareness - - self.k = self.cfg['k'] - self.lambda1 = self.cfg['lambda1'] - self.boundary_consist = self.cfg['boundary_consist'] - self.cut_intersection = self.cfg['cut_intersection'] - - self.F_B_surface = None - self.F_B_trimesh = None - self.F_depth = None - self.B_depth = None - - self.device = device - self.export_dir = dir_path - - # code: https://github.com/hoshino042/bilateral_normal_integration - # paper: Bilateral Normal Integration - - def extract_surface(self, verbose=True): - - bni_result = double_side_bilateral_normal_integration( - normal_front=self.normal_front, - normal_back=self.normal_back, - normal_mask=self.mask, - depth_front=self.depth_front * self.scale, - depth_back=self.depth_back * self.scale, - depth_mask=self.depth_mask, - k=self.k, - lambda_normal_back=1.0, - lambda_depth_front=self.lambda1, - lambda_depth_back=self.lambda1, - lambda_boundary_consistency=self.boundary_consist, - cut_intersection=self.cut_intersection, - ) - - F_verts = verts_inverse_transform(bni_result["F_verts"], self.scale) - B_verts = verts_inverse_transform(bni_result["B_verts"], self.scale) - - self.F_depth = depth_inverse_transform(bni_result["F_depth"], self.scale) - self.B_depth = depth_inverse_transform(bni_result["B_depth"], self.scale) - - F_B_verts = torch.cat((F_verts, B_verts), dim=0) - F_B_faces = torch.cat( - (bni_result["F_faces"], bni_result["B_faces"] + bni_result["F_faces"].max() + 1), dim=0 - ) - - self.F_B_trimesh = trimesh.Trimesh( - F_B_verts.float(), F_B_faces.long(), process=False, maintain_order=True - ) - - # self.F_trimesh = trimesh.Trimesh( - # F_verts.float(), bni_result["F_faces"].long(), process=False, maintain_order=True - # ) - - # self.B_trimesh = trimesh.Trimesh( - # B_verts.float(), bni_result["B_faces"].long(), process=False, maintain_order=True - # ) - - -if __name__ == "__main__": - - import os.path as osp - - import numpy as np - from tqdm import tqdm - - root = "/home/yxiu/Code/ECON/results/examples/BNI" - npy_file = f"{root}/304e9c4798a8c3967de7c74c24ef2e38.npy" - bni_dict = np.load(npy_file, allow_pickle=True).item() - - default_cfg = {'k': 2, 'lambda1': 1e-4, 'boundary_consist': 1e-6} - - # for k in [1, 2, 4, 10, 100]: - # default_cfg['k'] = k - # for k in [1e-8, 1e-4, 1e-2, 1e-1, 1]: - # default_cfg['lambda1'] = k - # for k in [1e-4, 1e-2, 0]: - # default_cfg['boundary_consist'] = k - - bni_object = BNI( - osp.dirname(npy_file), osp.basename(npy_file), bni_dict, default_cfg, - torch.device('cuda:0') - ) - - bni_object.extract_surface() - bni_object.F_trimesh.export(osp.join(osp.dirname(npy_file), "F.obj")) - bni_object.B_trimesh.export(osp.join(osp.dirname(npy_file), "B.obj")) - bni_object.F_B_trimesh.export(osp.join(osp.dirname(npy_file), "BNI.obj")) diff --git a/spaces/a-v-bely/russian-task-generator/utilities_cookies/src/react-app-env.d.ts b/spaces/a-v-bely/russian-task-generator/utilities_cookies/src/react-app-env.d.ts deleted file mode 100644 index 6431bc5fc6b2c932dfe5d0418fc667b86c18b9fc..0000000000000000000000000000000000000000 --- a/spaces/a-v-bely/russian-task-generator/utilities_cookies/src/react-app-env.d.ts +++ /dev/null @@ -1 +0,0 @@ -/// diff --git a/spaces/abhishek/sketch-to-image/annotator/uniformer/mmdet/core/bbox/__init__.py b/spaces/abhishek/sketch-to-image/annotator/uniformer/mmdet/core/bbox/__init__.py deleted file mode 100644 index a3537297f57e4c3670afdb97b5fcb1b2d775e5f3..0000000000000000000000000000000000000000 --- a/spaces/abhishek/sketch-to-image/annotator/uniformer/mmdet/core/bbox/__init__.py +++ /dev/null @@ -1,27 +0,0 @@ -from .assigners import (AssignResult, BaseAssigner, CenterRegionAssigner, - MaxIoUAssigner, RegionAssigner) -from .builder import build_assigner, build_bbox_coder, build_sampler -from .coder import (BaseBBoxCoder, DeltaXYWHBBoxCoder, PseudoBBoxCoder, - TBLRBBoxCoder) -from .iou_calculators import BboxOverlaps2D, bbox_overlaps -from .samplers import (BaseSampler, CombinedSampler, - InstanceBalancedPosSampler, IoUBalancedNegSampler, - OHEMSampler, PseudoSampler, RandomSampler, - SamplingResult, ScoreHLRSampler) -from .transforms import (bbox2distance, bbox2result, bbox2roi, - bbox_cxcywh_to_xyxy, bbox_flip, bbox_mapping, - bbox_mapping_back, bbox_rescale, bbox_xyxy_to_cxcywh, - distance2bbox, roi2bbox) - -__all__ = [ - 'bbox_overlaps', 'BboxOverlaps2D', 'BaseAssigner', 'MaxIoUAssigner', - 'AssignResult', 'BaseSampler', 'PseudoSampler', 'RandomSampler', - 'InstanceBalancedPosSampler', 'IoUBalancedNegSampler', 'CombinedSampler', - 'OHEMSampler', 'SamplingResult', 'ScoreHLRSampler', 'build_assigner', - 'build_sampler', 'bbox_flip', 'bbox_mapping', 'bbox_mapping_back', - 'bbox2roi', 'roi2bbox', 'bbox2result', 'distance2bbox', 'bbox2distance', - 'build_bbox_coder', 'BaseBBoxCoder', 'PseudoBBoxCoder', - 'DeltaXYWHBBoxCoder', 'TBLRBBoxCoder', 'CenterRegionAssigner', - 'bbox_rescale', 'bbox_cxcywh_to_xyxy', 'bbox_xyxy_to_cxcywh', - 'RegionAssigner' -] diff --git a/spaces/abhishek/sketch-to-image/annotator/uniformer/mmdet/core/evaluation/__init__.py b/spaces/abhishek/sketch-to-image/annotator/uniformer/mmdet/core/evaluation/__init__.py deleted file mode 100644 index d11ef15b9db95166b4427ad4d08debbd0630a741..0000000000000000000000000000000000000000 --- a/spaces/abhishek/sketch-to-image/annotator/uniformer/mmdet/core/evaluation/__init__.py +++ /dev/null @@ -1,15 +0,0 @@ -from .class_names import (cityscapes_classes, coco_classes, dataset_aliases, - get_classes, imagenet_det_classes, - imagenet_vid_classes, voc_classes) -from .eval_hooks import DistEvalHook, EvalHook -from .mean_ap import average_precision, eval_map, print_map_summary -from .recall import (eval_recalls, plot_iou_recall, plot_num_recall, - print_recall_summary) - -__all__ = [ - 'voc_classes', 'imagenet_det_classes', 'imagenet_vid_classes', - 'coco_classes', 'cityscapes_classes', 'dataset_aliases', 'get_classes', - 'DistEvalHook', 'EvalHook', 'average_precision', 'eval_map', - 'print_map_summary', 'eval_recalls', 'print_recall_summary', - 'plot_num_recall', 'plot_iou_recall' -] diff --git a/spaces/abrar-lohia/text-2-character-anim/pyrender/.eggs/pyglet-2.0.5-py3.10.egg/pyglet/gl/cocoa.py b/spaces/abrar-lohia/text-2-character-anim/pyrender/.eggs/pyglet-2.0.5-py3.10.egg/pyglet/gl/cocoa.py deleted file mode 100644 index 6f423879ef511fe4018a3c0a8a057a4753b13c7a..0000000000000000000000000000000000000000 --- a/spaces/abrar-lohia/text-2-character-anim/pyrender/.eggs/pyglet-2.0.5-py3.10.egg/pyglet/gl/cocoa.py +++ /dev/null @@ -1,298 +0,0 @@ -import platform -from ctypes import c_uint32, c_int, byref - -from pyglet.gl.base import Config, CanvasConfig, Context - -from pyglet.gl import ContextException - -from pyglet.canvas.cocoa import CocoaCanvas - -from pyglet.libs.darwin import cocoapy, quartz - - -NSOpenGLPixelFormat = cocoapy.ObjCClass('NSOpenGLPixelFormat') -NSOpenGLContext = cocoapy.ObjCClass('NSOpenGLContext') - -# Version info, needed as OpenGL different Lion and onward -"""Version is based on Darwin kernel, not OS-X version. -OS-X / Darwin version history -http://en.wikipedia.org/wiki/Darwin_(operating_system)#Release_history -pre-release: 0.1, 0.2, 1.0, 1.1, -kodiak: 1.2.1, -cheetah: 1.3.1, -puma: 1.4.1, 5.1 -> 5.5 -jaguar: 6.0.1 -> 6.8 -panther: 7.0 -> 7.9 -tiger: 8.0 -> 8.11 -leopard: 9.0 -> 9.8 -snow_leopard: 10.0 -> 10.8 -lion: 11.0 -> 11.4 -mountain_lion: 12.0 -> 12.5 -mavericks: 13.0 -> 13.4 -yosemite: 14.0 -> 14.5 -el_capitan: 15.0 -> 15.6 -sierra: 16.0 -> 16.6 -high_sierra: 17.0 -> 17.7 -mojave: 18.0 -> 18.2 -catalina: 19.0 -> 19.6 -big_sur: 20.0 -> -""" -os_x_release = { - 'pre-release': (0,1), - 'kodiak': (1,2,1), - 'cheetah': (1,3,1), - 'puma': (1,4.1), - 'jaguar': (6,0,1), - 'panther': (7,), - 'tiger': (8,), - 'leopard': (9,), - 'snow_leopard': (10,), - 'lion': (11,), - 'mountain_lion': (12,), - 'mavericks': (13,), - 'yosemite': (14,), - 'el_capitan': (15,), - 'sierra': (16,), - 'high_sierra': (17,), - 'mojave': (18,), - 'catalina': (19,), - 'big_sur': (20,) -} - -def os_x_version(): - version = tuple([int(v) for v in platform.release().split('.')]) - - # ensure we return a tuple - if len(version) > 0: - return version - return (version,) - -_os_x_version = os_x_version() - -# Valid names for GL attributes and their corresponding NSOpenGL constant. -_gl_attributes = { - 'double_buffer': cocoapy.NSOpenGLPFADoubleBuffer, - 'stereo': cocoapy.NSOpenGLPFAStereo, - 'buffer_size': cocoapy.NSOpenGLPFAColorSize, - 'sample_buffers': cocoapy.NSOpenGLPFASampleBuffers, - 'samples': cocoapy.NSOpenGLPFASamples, - 'aux_buffers': cocoapy.NSOpenGLPFAAuxBuffers, - 'alpha_size': cocoapy.NSOpenGLPFAAlphaSize, - 'depth_size': cocoapy.NSOpenGLPFADepthSize, - 'stencil_size': cocoapy.NSOpenGLPFAStencilSize, - - # Not exposed by pyglet API (set internally) - 'all_renderers': cocoapy.NSOpenGLPFAAllRenderers, - 'fullscreen': cocoapy.NSOpenGLPFAFullScreen, - 'minimum_policy': cocoapy.NSOpenGLPFAMinimumPolicy, - 'maximum_policy': cocoapy.NSOpenGLPFAMaximumPolicy, - 'screen_mask' : cocoapy.NSOpenGLPFAScreenMask, - - # Not supported in current pyglet API - 'color_float': cocoapy.NSOpenGLPFAColorFloat, - 'offscreen': cocoapy.NSOpenGLPFAOffScreen, - 'sample_alpha': cocoapy.NSOpenGLPFASampleAlpha, - 'multisample': cocoapy.NSOpenGLPFAMultisample, - 'supersample': cocoapy.NSOpenGLPFASupersample, -} - -# NSOpenGL constants which do not require a value. -_boolean_gl_attributes = frozenset([ - cocoapy.NSOpenGLPFAAllRenderers, - cocoapy.NSOpenGLPFADoubleBuffer, - cocoapy.NSOpenGLPFAStereo, - cocoapy.NSOpenGLPFAMinimumPolicy, - cocoapy.NSOpenGLPFAMaximumPolicy, - cocoapy.NSOpenGLPFAOffScreen, - cocoapy.NSOpenGLPFAFullScreen, - cocoapy.NSOpenGLPFAColorFloat, - cocoapy.NSOpenGLPFAMultisample, - cocoapy.NSOpenGLPFASupersample, - cocoapy.NSOpenGLPFASampleAlpha, -]) - -# Attributes for which no NSOpenGLPixelFormatAttribute name exists. -# We could probably compute actual values for these using -# NSOpenGLPFAColorSize / 4 and NSOpenGLFAAccumSize / 4, but I'm not that -# confident I know what I'm doing. -_fake_gl_attributes = { - 'red_size': 0, - 'green_size': 0, - 'blue_size': 0, - 'accum_red_size': 0, - 'accum_green_size': 0, - 'accum_blue_size': 0, - 'accum_alpha_size': 0 -} - -class CocoaConfig(Config): - - def match(self, canvas): - # Construct array of attributes for NSOpenGLPixelFormat - attrs = [] - for name, value in self.get_gl_attributes(): - attr = _gl_attributes.get(name) - if not attr or not value: - continue - attrs.append(attr) - if attr not in _boolean_gl_attributes: - attrs.append(int(value)) - - # Support for RAGE-II, which is not compliant. - attrs.append(cocoapy.NSOpenGLPFAAllRenderers) - - # Force selection policy. - attrs.append(cocoapy.NSOpenGLPFAMaximumPolicy) - - # NSOpenGLPFAFullScreen is always supplied so we can switch to and - # from fullscreen without losing the context. Also must supply the - # NSOpenGLPFAScreenMask attribute with appropriate display ID. - # Note that these attributes aren't necessary to render in fullscreen - # on Mac OS X 10.6, because there we are simply rendering into a - # screen sized window. See: - # http://developer.apple.com/library/mac/#documentation/GraphicsImaging/Conceptual/OpenGL-MacProgGuide/opengl_fullscreen/opengl_cgl.html%23//apple_ref/doc/uid/TP40001987-CH210-SW6 - # Otherwise, make sure we refer to the correct Profile for OpenGL (Core or - # Legacy) on Lion and afterwards - if _os_x_version < os_x_release['snow_leopard']: - attrs.append(cocoapy.NSOpenGLPFAFullScreen) - attrs.append(cocoapy.NSOpenGLPFAScreenMask) - attrs.append(quartz.CGDisplayIDToOpenGLDisplayMask(quartz.CGMainDisplayID())) - elif _os_x_version >= os_x_release['lion']: - # check for opengl profile - # This requires OS-X Lion (Darwin 11) or higher - version = (getattr(self, 'major_version', None) or 3, - getattr(self, 'minor_version', None) or 3) - - # tell os-x we want to request a profile - attrs.append(cocoapy.NSOpenGLPFAOpenGLProfile) - - # check if we're wanting core or legacy - # Mavericks (Darwin 13) and up are capable of the Core 4.1 profile, - # while Lion and up are only capable of Core 3.2 - if version[0] >= 4 and _os_x_version >= os_x_release['mavericks']: - attrs.append(int(cocoapy.NSOpenGLProfileVersion4_1Core)) - elif version[0] >= 3: - attrs.append(int(cocoapy.NSOpenGLProfileVersion3_2Core)) - else: - attrs.append(int(cocoapy.NSOpenGLProfileVersionLegacy)) - # Terminate the list. - attrs.append(0) - - # Create the pixel format. - attrsArrayType = c_uint32 * len(attrs) - attrsArray = attrsArrayType(*attrs) - pixel_format = NSOpenGLPixelFormat.alloc().initWithAttributes_(attrsArray) - - # Return the match list. - if pixel_format is None: - return [] - else: - return [CocoaCanvasConfig(canvas, self, pixel_format)] - - -class CocoaCanvasConfig(CanvasConfig): - - def __init__(self, canvas, config, pixel_format): - super(CocoaCanvasConfig, self).__init__(canvas, config) - self._pixel_format = pixel_format - - # Query values for the attributes of the pixel format, and then set the - # corresponding attributes of the canvas config. - for name, attr in _gl_attributes.items(): - vals = c_int() - self._pixel_format.getValues_forAttribute_forVirtualScreen_(byref(vals), attr, 0) - setattr(self, name, vals.value) - - # Set these attributes so that we can run pyglet.info. - for name, value in _fake_gl_attributes.items(): - setattr(self, name, value) - - # Update the minor/major version from profile if (Mountain)Lion - if _os_x_version >= os_x_release['lion']: - vals = c_int() - profile = self._pixel_format.getValues_forAttribute_forVirtualScreen_( - byref(vals), - cocoapy.NSOpenGLPFAOpenGLProfile, - 0 - ) - - if vals.value == cocoapy.NSOpenGLProfileVersion4_1Core: - setattr(self, "major_version", 4) - setattr(self, "minor_version", 1) - elif vals.value == cocoapy.NSOpenGLProfileVersion3_2Core: - setattr(self, "major_version", 3) - setattr(self, "minor_version", 2) - else: - setattr(self, "major_version", 2) - setattr(self, "minor_version", 1) - - def create_context(self, share): - # Determine the shared NSOpenGLContext. - if share: - share_context = share._nscontext - else: - share_context = None - - # Create a new NSOpenGLContext. - nscontext = NSOpenGLContext.alloc().initWithFormat_shareContext_( - self._pixel_format, - share_context) - - return CocoaContext(self, nscontext, share) - - def compatible(self, canvas): - return isinstance(canvas, CocoaCanvas) - - -class CocoaContext(Context): - - def __init__(self, config, nscontext, share): - super(CocoaContext, self).__init__(config, share) - self.config = config - self._nscontext = nscontext - - def attach(self, canvas): - # See if we want OpenGL 3 in a non-Lion OS - if _os_x_version < os_x_release['lion']: - raise ContextException('OpenGL 3 not supported') - - super(CocoaContext, self).attach(canvas) - # The NSView instance should be attached to a nondeferred window before calling - # setView, otherwise you get an "invalid drawable" message. - self._nscontext.setView_(canvas.nsview) - self._nscontext.view().setWantsBestResolutionOpenGLSurface_(1) - self.set_current() - - def detach(self): - super(CocoaContext, self).detach() - self._nscontext.clearDrawable() - - def set_current(self): - self._nscontext.makeCurrentContext() - super(CocoaContext, self).set_current() - - def update_geometry(self): - # Need to call this method whenever the context drawable (an NSView) - # changes size or location. - self._nscontext.update() - - def set_full_screen(self): - self._nscontext.makeCurrentContext() - self._nscontext.setFullScreen() - - def destroy(self): - super(CocoaContext, self).destroy() - self._nscontext.release() - self._nscontext = None - - def set_vsync(self, vsync=True): - vals = c_int(vsync) - self._nscontext.setValues_forParameter_(byref(vals), cocoapy.NSOpenGLCPSwapInterval) - - def get_vsync(self): - vals = c_int() - self._nscontext.getValues_forParameter_(byref(vals), cocoapy.NSOpenGLCPSwapInterval) - return vals.value - - def flip(self): - self._nscontext.flushBuffer() diff --git a/spaces/adirik/ChangeIt/README.md b/spaces/adirik/ChangeIt/README.md deleted file mode 100644 index 3f212606b92d7c46927a9861b785794b5f9ba847..0000000000000000000000000000000000000000 --- a/spaces/adirik/ChangeIt/README.md +++ /dev/null @@ -1,13 +0,0 @@ ---- -title: Change It -emoji: 🔥 -colorFrom: red -colorTo: pink -sdk: gradio -sdk_version: 3.6 -app_file: app.py -pinned: false ---- - -Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference - diff --git a/spaces/aijack/jojo/op/fused_bias_act.cpp b/spaces/aijack/jojo/op/fused_bias_act.cpp deleted file mode 100644 index 02be898f970bcc8ea297867fcaa4e71b24b3d949..0000000000000000000000000000000000000000 --- a/spaces/aijack/jojo/op/fused_bias_act.cpp +++ /dev/null @@ -1,21 +0,0 @@ -#include - - -torch::Tensor fused_bias_act_op(const torch::Tensor& input, const torch::Tensor& bias, const torch::Tensor& refer, - int act, int grad, float alpha, float scale); - -#define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor") -#define CHECK_CONTIGUOUS(x) TORCH_CHECK(x.is_contiguous(), #x " must be contiguous") -#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x) - -torch::Tensor fused_bias_act(const torch::Tensor& input, const torch::Tensor& bias, const torch::Tensor& refer, - int act, int grad, float alpha, float scale) { - CHECK_CUDA(input); - CHECK_CUDA(bias); - - return fused_bias_act_op(input, bias, refer, act, grad, alpha, scale); -} - -PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) { - m.def("fused_bias_act", &fused_bias_act, "fused bias act (CUDA)"); -} \ No newline at end of file diff --git a/spaces/alexray/btc_predictor/venv/lib/python3.10/site-packages/pip/_vendor/platformdirs/api.py b/spaces/alexray/btc_predictor/venv/lib/python3.10/site-packages/pip/_vendor/platformdirs/api.py deleted file mode 100644 index 6f6e2c2c69d25dba4d1038a2d548fbf68017f91b..0000000000000000000000000000000000000000 --- a/spaces/alexray/btc_predictor/venv/lib/python3.10/site-packages/pip/_vendor/platformdirs/api.py +++ /dev/null @@ -1,156 +0,0 @@ -from __future__ import annotations - -import os -import sys -from abc import ABC, abstractmethod -from pathlib import Path - -if sys.version_info >= (3, 8): # pragma: no branch - from typing import Literal # pragma: no cover - - -class PlatformDirsABC(ABC): - """ - Abstract base class for platform directories. - """ - - def __init__( - self, - appname: str | None = None, - appauthor: str | None | Literal[False] = None, - version: str | None = None, - roaming: bool = False, - multipath: bool = False, - opinion: bool = True, - ): - """ - Create a new platform directory. - - :param appname: See `appname`. - :param appauthor: See `appauthor`. - :param version: See `version`. - :param roaming: See `roaming`. - :param multipath: See `multipath`. - :param opinion: See `opinion`. - """ - self.appname = appname #: The name of application. - self.appauthor = appauthor - """ - The name of the app author or distributing body for this application. Typically, it is the owning company name. - Defaults to `appname`. You may pass ``False`` to disable it. - """ - self.version = version - """ - An optional version path element to append to the path. You might want to use this if you want multiple versions - of your app to be able to run independently. If used, this would typically be ``.``. - """ - self.roaming = roaming - """ - Whether to use the roaming appdata directory on Windows. That means that for users on a Windows network setup - for roaming profiles, this user data will be synced on login (see - `here `_). - """ - self.multipath = multipath - """ - An optional parameter only applicable to Unix/Linux which indicates that the entire list of data dirs should be - returned. By default, the first item would only be returned. - """ - self.opinion = opinion #: A flag to indicating to use opinionated values. - - def _append_app_name_and_version(self, *base: str) -> str: - params = list(base[1:]) - if self.appname: - params.append(self.appname) - if self.version: - params.append(self.version) - return os.path.join(base[0], *params) - - @property - @abstractmethod - def user_data_dir(self) -> str: - """:return: data directory tied to the user""" - - @property - @abstractmethod - def site_data_dir(self) -> str: - """:return: data directory shared by users""" - - @property - @abstractmethod - def user_config_dir(self) -> str: - """:return: config directory tied to the user""" - - @property - @abstractmethod - def site_config_dir(self) -> str: - """:return: config directory shared by the users""" - - @property - @abstractmethod - def user_cache_dir(self) -> str: - """:return: cache directory tied to the user""" - - @property - @abstractmethod - def user_state_dir(self) -> str: - """:return: state directory tied to the user""" - - @property - @abstractmethod - def user_log_dir(self) -> str: - """:return: log directory tied to the user""" - - @property - @abstractmethod - def user_documents_dir(self) -> str: - """:return: documents directory tied to the user""" - - @property - @abstractmethod - def user_runtime_dir(self) -> str: - """:return: runtime directory tied to the user""" - - @property - def user_data_path(self) -> Path: - """:return: data path tied to the user""" - return Path(self.user_data_dir) - - @property - def site_data_path(self) -> Path: - """:return: data path shared by users""" - return Path(self.site_data_dir) - - @property - def user_config_path(self) -> Path: - """:return: config path tied to the user""" - return Path(self.user_config_dir) - - @property - def site_config_path(self) -> Path: - """:return: config path shared by the users""" - return Path(self.site_config_dir) - - @property - def user_cache_path(self) -> Path: - """:return: cache path tied to the user""" - return Path(self.user_cache_dir) - - @property - def user_state_path(self) -> Path: - """:return: state path tied to the user""" - return Path(self.user_state_dir) - - @property - def user_log_path(self) -> Path: - """:return: log path tied to the user""" - return Path(self.user_log_dir) - - @property - def user_documents_path(self) -> Path: - """:return: documents path tied to the user""" - return Path(self.user_documents_dir) - - @property - def user_runtime_path(self) -> Path: - """:return: runtime path tied to the user""" - return Path(self.user_runtime_dir) diff --git a/spaces/ali-ghamdan/deoldify/fastai/widgets/__init__.py b/spaces/ali-ghamdan/deoldify/fastai/widgets/__init__.py deleted file mode 100644 index 78f94036bb2a59a5344c7aeb9890b407ce1452e3..0000000000000000000000000000000000000000 --- a/spaces/ali-ghamdan/deoldify/fastai/widgets/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -from .class_confusion import * -from .image_cleaner import * -from .image_downloader import * diff --git a/spaces/allen-eric/radiology-gpt/README.md b/spaces/allen-eric/radiology-gpt/README.md deleted file mode 100644 index fab99d142783f851068b4a1a178dd111a3cbf8b0..0000000000000000000000000000000000000000 --- a/spaces/allen-eric/radiology-gpt/README.md +++ /dev/null @@ -1,11 +0,0 @@ ---- -title: Radiology-GPT -emoji: -colorFrom: red -colorTo: gray -sdk: gradio -sdk_version: 3.21.0 -app_file: app.py -pinned: false -license: apache-2.0 ---- diff --git a/spaces/allknowingroger/Image-Models-Test141/app.py b/spaces/allknowingroger/Image-Models-Test141/app.py deleted file mode 100644 index 115b0c2ebc11dfe2aaca7ac1817386f70f08bfd8..0000000000000000000000000000000000000000 --- a/spaces/allknowingroger/Image-Models-Test141/app.py +++ /dev/null @@ -1,144 +0,0 @@ -import gradio as gr -# import os -# import sys -# from pathlib import Path -import time - -models =[ - "itsrocchi/lora-trained-xl", - "nzlada/my-pet-xzl", - "nzlada/my-pet-dog-xzl", - "Revanthraja/snowavat", - "HammadAusaf/lora-trained-xl-hub", - "osangni/sdxlroks", - "bongo2112/sdxl-db-raisisamia", - "bongo2112/sdxl-db-hamisamobetto", - "Yntec/526Mix", -] - - -model_functions = {} -model_idx = 1 -for model_path in models: - try: - model_functions[model_idx] = gr.Interface.load(f"models/{model_path}", live=False, preprocess=True, postprocess=False) - except Exception as error: - def the_fn(txt): - return None - model_functions[model_idx] = gr.Interface(fn=the_fn, inputs=["text"], outputs=["image"]) - model_idx+=1 - - -def send_it_idx(idx): - def send_it_fn(prompt): - output = (model_functions.get(str(idx)) or model_functions.get(str(1)))(prompt) - return output - return send_it_fn - -def get_prompts(prompt_text): - return prompt_text - -def clear_it(val): - if int(val) != 0: - val = 0 - else: - val = 0 - pass - return val - -def all_task_end(cnt,t_stamp): - to = t_stamp + 60 - et = time.time() - if et > to and t_stamp != 0: - d = gr.update(value=0) - tog = gr.update(value=1) - #print(f'to: {to} et: {et}') - else: - if cnt != 0: - d = gr.update(value=et) - else: - d = gr.update(value=0) - tog = gr.update(value=0) - #print (f'passing: to: {to} et: {et}') - pass - return d, tog - -def all_task_start(): - print("\n\n\n\n\n\n\n") - t = time.gmtime() - t_stamp = time.time() - current_time = time.strftime("%H:%M:%S", t) - return gr.update(value=t_stamp), gr.update(value=t_stamp), gr.update(value=0) - -def clear_fn(): - nn = len(models) - return tuple([None, *[None for _ in range(nn)]]) - - - -with gr.Blocks(title="SD Models") as my_interface: - with gr.Column(scale=12): - # with gr.Row(): - # gr.Markdown("""- Primary prompt: 你想画的内容(英文单词,如 a cat, 加英文逗号效果更好;点 Improve 按钮进行完善)\n- Real prompt: 完善后的提示词,出现后再点右边的 Run 按钮开始运行""") - with gr.Row(): - with gr.Row(scale=6): - primary_prompt=gr.Textbox(label="Prompt", value="") - # real_prompt=gr.Textbox(label="Real prompt") - with gr.Row(scale=6): - # improve_prompts_btn=gr.Button("Improve") - with gr.Row(): - run=gr.Button("Run",variant="primary") - clear_btn=gr.Button("Clear") - with gr.Row(): - sd_outputs = {} - model_idx = 1 - for model_path in models: - with gr.Column(scale=3, min_width=320): - with gr.Box(): - sd_outputs[model_idx] = gr.Image(label=model_path) - pass - model_idx += 1 - pass - pass - - with gr.Row(visible=False): - start_box=gr.Number(interactive=False) - end_box=gr.Number(interactive=False) - tog_box=gr.Textbox(value=0,interactive=False) - - start_box.change( - all_task_end, - [start_box, end_box], - [start_box, tog_box], - every=1, - show_progress=False) - - primary_prompt.submit(all_task_start, None, [start_box, end_box, tog_box]) - run.click(all_task_start, None, [start_box, end_box, tog_box]) - runs_dict = {} - model_idx = 1 - for model_path in models: - runs_dict[model_idx] = run.click(model_functions[model_idx], inputs=[primary_prompt], outputs=[sd_outputs[model_idx]]) - model_idx += 1 - pass - pass - - # improve_prompts_btn_clicked=improve_prompts_btn.click( - # get_prompts, - # inputs=[primary_prompt], - # outputs=[primary_prompt], - # cancels=list(runs_dict.values())) - clear_btn.click( - clear_fn, - None, - [primary_prompt, *list(sd_outputs.values())], - cancels=[*list(runs_dict.values())]) - tog_box.change( - clear_it, - tog_box, - tog_box, - cancels=[*list(runs_dict.values())]) - -my_interface.queue(concurrency_count=600, status_update_rate=1) -my_interface.launch(inline=True, show_api=False) - \ No newline at end of file diff --git a/spaces/allknowingroger/Image-Models-Test94/README.md b/spaces/allknowingroger/Image-Models-Test94/README.md deleted file mode 100644 index 6b266b4dcbb3a42e3e73bee620a37c5d17cf6073..0000000000000000000000000000000000000000 --- a/spaces/allknowingroger/Image-Models-Test94/README.md +++ /dev/null @@ -1,12 +0,0 @@ ---- -title: More Image Models -emoji: 😻 -colorFrom: red -colorTo: gray -sdk: gradio -sdk_version: 3.23.0 -app_file: app.py -duplicated_from: allknowingroger/Image-Models-Test93 ---- - - \ No newline at end of file diff --git a/spaces/alvanlii/RDM-Region-Aware-Diffusion-Model/cool_models.py b/spaces/alvanlii/RDM-Region-Aware-Diffusion-Model/cool_models.py deleted file mode 100644 index 5fbdf90e6f1cc09a43e9a5952ed9dcf03371287e..0000000000000000000000000000000000000000 --- a/spaces/alvanlii/RDM-Region-Aware-Diffusion-Model/cool_models.py +++ /dev/null @@ -1,123 +0,0 @@ -import torch -from guided_diffusion.script_util import create_model_and_diffusion, model_and_diffusion_defaults -import lpips -import clip - - -from encoders.modules import BERTEmbedder -from models.clipseg import CLIPDensePredT - -from huggingface_hub import hf_hub_download - -STEPS = 100 -USE_DDPM = False -USE_DDIM = False -USE_CPU = False -CLIP_SEG_PATH = './weights/rd64-uni.pth' -CLIP_GUIDANCE = False - -def make_models(): - segmodel = CLIPDensePredT(version='ViT-B/16', reduce_dim=64) - segmodel.eval() - - # non-strict, because we only stored decoder weights (not CLIP weights) - segmodel.load_state_dict(torch.load(CLIP_SEG_PATH, map_location=torch.device('cpu')), strict=False) - # segmodel.save_pretrained("./weights/hf_clipseg") - - device = torch.device('cuda:0' if (torch.cuda.is_available() and not USE_CPU) else 'cpu') - print('Using device:', device) - - hf_inpaint_path = hf_hub_download("alvanlii/rdm_inpaint", "inpaint.pt") - model_state_dict = torch.load(hf_inpaint_path, map_location='cpu') - - # print( - # 'hey', - # 'clip_proj.weight' in model_state_dict, # True - # model_state_dict['input_blocks.0.0.weight'].shape[1] == 8, # True - # 'external_block.0.0.weight' in model_state_dict # False - # ) - - model_params = { - 'attention_resolutions': '32,16,8', - 'class_cond': False, - 'diffusion_steps': 1000, - 'rescale_timesteps': True, - 'timestep_respacing': STEPS, # Modify this value to decrease the number of - # timesteps. - 'image_size': 32, - 'learn_sigma': False, - 'noise_schedule': 'linear', - 'num_channels': 320, - 'num_heads': 8, - 'num_res_blocks': 2, - 'resblock_updown': False, - 'use_fp16': False, - 'use_scale_shift_norm': False, - 'clip_embed_dim': 768, - 'image_condition': True, - 'super_res_condition': False, - } - - if USE_DDPM: - model_params['timestep_respacing'] = '1000' - if USE_DDIM: - if STEPS: - model_params['timestep_respacing'] = 'ddim'+str(STEPS) - else: - model_params['timestep_respacing'] = 'ddim50' - elif STEPS: - model_params['timestep_respacing'] = str(STEPS) - - model_config = model_and_diffusion_defaults() - model_config.update(model_params) - - if USE_CPU: - model_config['use_fp16'] = False - - - model, diffusion = create_model_and_diffusion(**model_config) - model.load_state_dict(model_state_dict, strict=False) - - model.requires_grad_(CLIP_GUIDANCE).eval().to(device) - - if model_config['use_fp16']: - model.convert_to_fp16() - else: - model.convert_to_fp32() - - def set_requires_grad(model, value): - for param in model.parameters(): - param.requires_grad = value - - - lpips_model = lpips.LPIPS(net="vgg").to(device) - hf_kl_path = hf_hub_download("alvanlii/rdm_inpaint", "kl-f8.pt") - - ldm = torch.load(hf_kl_path, map_location="cpu") - - # torch.save(ldm, "./weights/hf_ldm") - ldm.to(device) - ldm.eval() - ldm.requires_grad_(CLIP_GUIDANCE) - set_requires_grad(ldm, CLIP_GUIDANCE) - - bert = BERTEmbedder(1280, 32) - hf_bert_path = hf_hub_download("alvanlii/rdm_inpaint", 'bert.pt') - # bert = BERTEmbedder.from_pretrained("alvanlii/rdm_bert") - sd = torch.load(hf_bert_path, map_location="cpu") - bert.load_state_dict(sd) - # bert.save_pretrained("./weights/hf_bert") - - bert.to(device) - bert.half().eval() - set_requires_grad(bert, False) - - - clip_model, clip_preprocess = clip.load('ViT-L/14', device=device, jit=False) - clip_model.eval().requires_grad_(False) - - return segmodel, model, diffusion, ldm, bert, clip_model, model_params - - -if __name__ == "__main__": - make_models() \ No newline at end of file diff --git a/spaces/alwayse/MMD_MP_Text_Dection/meta_train.py b/spaces/alwayse/MMD_MP_Text_Dection/meta_train.py deleted file mode 100644 index 3913667b0bbf20d2e70eef27a8cd906d6dc511a8..0000000000000000000000000000000000000000 --- a/spaces/alwayse/MMD_MP_Text_Dection/meta_train.py +++ /dev/null @@ -1,131 +0,0 @@ -import torch -from torch import nn -import math - - -from pytorch_transformers.modeling_bert import( - BertEncoder, - BertPreTrainedModel, - BertConfig -) - -class GeLU(nn.Module): - """Implementation of the gelu activation function. - For information: OpenAI GPT's gelu is slightly different (and gives slightly different results): - 0.5 * x * (1 + torch.tanh(math.sqrt(2 / math.pi) * (x + 0.044715 * torch.pow(x, 3)))) - Also see https://arxiv.org/abs/1606.08415 - """ - - def __init__(self): - super().__init__() - - def forward(self, x): - return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0))) - -class BertLayerNorm(nn.Module): - def __init__(self, hidden_size, eps=1e-12): - """Construct a layernorm module in the TF style (epsilon inside the square root). - """ - super(BertLayerNorm, self).__init__() - self.weight = nn.Parameter(torch.ones(hidden_size)) - self.bias = nn.Parameter(torch.zeros(hidden_size)) - self.variance_epsilon = eps - - def forward(self, x): - u = x.mean(-1, keepdim=True) - s = (x - u).pow(2).mean(-1, keepdim=True) - x = (x - u) / torch.sqrt(s + self.variance_epsilon) - return self.weight * x + self.bias - -class mlp_meta(nn.Module): - def __init__(self, config): - super().__init__() - self.mlp = nn.Sequential( - nn.Linear(config.hid_dim, config.hid_dim), - GeLU(), - BertLayerNorm(config.hid_dim, eps=1e-12), - nn.Dropout(config.dropout), - ) - - def forward(self, x): - return self.mlp(x) - -class Bert_Transformer_Layer(BertPreTrainedModel): - def __init__(self,fusion_config): - super().__init__(BertConfig(**fusion_config)) - bertconfig_fusion = BertConfig(**fusion_config) - self.encoder = BertEncoder(bertconfig_fusion) - self.init_weights() - - def forward(self,input, mask=None): - """ - input:(bs, 4, dim) - """ - batch, feats, dim = input.size() - if mask is not None: - mask_ = torch.ones(size=(batch,feats), device=mask.device) - mask_[:,1:] = mask - mask_ = torch.bmm(mask_.view(batch,1,-1).transpose(1,2), mask_.view(batch,1,-1)) - mask_ = mask_.unsqueeze(1) - - else: - mask = torch.Tensor([1.0]).to(input.device) - mask_ = mask.repeat(batch,1,feats, feats) - - extend_mask = (1- mask_) * -10000 - assert not extend_mask.requires_grad - head_mask = [None] * self.config.num_hidden_layers - - enc_output = self.encoder( - input,extend_mask,head_mask=head_mask - ) - output = enc_output[0] - all_attention = enc_output[1] - - return output,all_attention - -class mmdPreModel(nn.Module): - def __init__(self, config, num_mlp=0, transformer_flag=False, num_hidden_layers=1, mlp_flag=True): - super(mmdPreModel, self).__init__() - self.num_mlp = num_mlp - self.transformer_flag = transformer_flag - self.mlp_flag = mlp_flag - token_num = config.token_num - self.mlp = nn.Sequential( - nn.Linear(config.in_dim, config.hid_dim), - GeLU(), - BertLayerNorm(config.hid_dim, eps=1e-12), - nn.Dropout(config.dropout), - # nn.Linear(config.hid_dim, config.out_dim), - ) - self.fusion_config = { - 'hidden_size': config.in_dim, - 'num_hidden_layers':num_hidden_layers, - 'num_attention_heads':4, - 'output_attentions':True - } - if self.num_mlp>0: - self.mlp2 = nn.ModuleList([mlp_meta(config) for _ in range(self.num_mlp)]) - if self.transformer_flag: - self.transformer = Bert_Transformer_Layer(self.fusion_config) - self.feature = nn.Linear(config.hid_dim * token_num, config.out_dim) - - def forward(self, features): - """ - input: [batch, token_num, hidden_size], output: [batch, token_num * config.out_dim] - """ - - if self.transformer_flag: - features,_ = self.transformer(features) - if self.mlp_flag: - features = self.mlp(features) - - if self.num_mlp>0: - # features = self.mlp2(features) - for _ in range(1): - for mlp in self.mlp2: - features = mlp(features) - - features = self.feature(features.view(features.shape[0], -1)) - return features #features.view(features.shape[0], -1) - diff --git a/spaces/amulyaprasanth/car_price_prediction/README.md b/spaces/amulyaprasanth/car_price_prediction/README.md deleted file mode 100644 index 6a8b49af5cfa33fb3ae48b8018bae56249e06294..0000000000000000000000000000000000000000 --- a/spaces/amulyaprasanth/car_price_prediction/README.md +++ /dev/null @@ -1,13 +0,0 @@ ---- -title: Car Price Prediction -emoji: 💻 -colorFrom: indigo -colorTo: indigo -sdk: gradio -sdk_version: 3.16.2 -app_file: app.py -pinned: false -license: mit ---- - -Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference diff --git a/spaces/aodianyun/stable-diffusion-webui/modules/sd_hijack_inpainting.py b/spaces/aodianyun/stable-diffusion-webui/modules/sd_hijack_inpainting.py deleted file mode 100644 index 55a2ce4d19200acafd79e6fce7e017c4abc50a73..0000000000000000000000000000000000000000 --- a/spaces/aodianyun/stable-diffusion-webui/modules/sd_hijack_inpainting.py +++ /dev/null @@ -1,103 +0,0 @@ -import os -import torch - -from einops import repeat -from omegaconf import ListConfig - -import ldm.models.diffusion.ddpm -import ldm.models.diffusion.ddim -import ldm.models.diffusion.plms - -from ldm.models.diffusion.ddpm import LatentDiffusion -from ldm.models.diffusion.plms import PLMSSampler -from ldm.models.diffusion.ddim import DDIMSampler, noise_like -from ldm.models.diffusion.sampling_util import norm_thresholding - - -@torch.no_grad() -def p_sample_plms(self, x, c, t, index, repeat_noise=False, use_original_steps=False, quantize_denoised=False, - temperature=1., noise_dropout=0., score_corrector=None, corrector_kwargs=None, - unconditional_guidance_scale=1., unconditional_conditioning=None, old_eps=None, t_next=None, dynamic_threshold=None): - b, *_, device = *x.shape, x.device - - def get_model_output(x, t): - if unconditional_conditioning is None or unconditional_guidance_scale == 1.: - e_t = self.model.apply_model(x, t, c) - else: - x_in = torch.cat([x] * 2) - t_in = torch.cat([t] * 2) - - if isinstance(c, dict): - assert isinstance(unconditional_conditioning, dict) - c_in = dict() - for k in c: - if isinstance(c[k], list): - c_in[k] = [ - torch.cat([unconditional_conditioning[k][i], c[k][i]]) - for i in range(len(c[k])) - ] - else: - c_in[k] = torch.cat([unconditional_conditioning[k], c[k]]) - else: - c_in = torch.cat([unconditional_conditioning, c]) - - e_t_uncond, e_t = self.model.apply_model(x_in, t_in, c_in).chunk(2) - e_t = e_t_uncond + unconditional_guidance_scale * (e_t - e_t_uncond) - - if score_corrector is not None: - assert self.model.parameterization == "eps" - e_t = score_corrector.modify_score(self.model, e_t, x, t, c, **corrector_kwargs) - - return e_t - - alphas = self.model.alphas_cumprod if use_original_steps else self.ddim_alphas - alphas_prev = self.model.alphas_cumprod_prev if use_original_steps else self.ddim_alphas_prev - sqrt_one_minus_alphas = self.model.sqrt_one_minus_alphas_cumprod if use_original_steps else self.ddim_sqrt_one_minus_alphas - sigmas = self.model.ddim_sigmas_for_original_num_steps if use_original_steps else self.ddim_sigmas - - def get_x_prev_and_pred_x0(e_t, index): - # select parameters corresponding to the currently considered timestep - a_t = torch.full((b, 1, 1, 1), alphas[index], device=device) - a_prev = torch.full((b, 1, 1, 1), alphas_prev[index], device=device) - sigma_t = torch.full((b, 1, 1, 1), sigmas[index], device=device) - sqrt_one_minus_at = torch.full((b, 1, 1, 1), sqrt_one_minus_alphas[index],device=device) - - # current prediction for x_0 - pred_x0 = (x - sqrt_one_minus_at * e_t) / a_t.sqrt() - if quantize_denoised: - pred_x0, _, *_ = self.model.first_stage_model.quantize(pred_x0) - if dynamic_threshold is not None: - pred_x0 = norm_thresholding(pred_x0, dynamic_threshold) - # direction pointing to x_t - dir_xt = (1. - a_prev - sigma_t**2).sqrt() * e_t - noise = sigma_t * noise_like(x.shape, device, repeat_noise) * temperature - if noise_dropout > 0.: - noise = torch.nn.functional.dropout(noise, p=noise_dropout) - x_prev = a_prev.sqrt() * pred_x0 + dir_xt + noise - return x_prev, pred_x0 - - e_t = get_model_output(x, t) - if len(old_eps) == 0: - # Pseudo Improved Euler (2nd order) - x_prev, pred_x0 = get_x_prev_and_pred_x0(e_t, index) - e_t_next = get_model_output(x_prev, t_next) - e_t_prime = (e_t + e_t_next) / 2 - elif len(old_eps) == 1: - # 2nd order Pseudo Linear Multistep (Adams-Bashforth) - e_t_prime = (3 * e_t - old_eps[-1]) / 2 - elif len(old_eps) == 2: - # 3nd order Pseudo Linear Multistep (Adams-Bashforth) - e_t_prime = (23 * e_t - 16 * old_eps[-1] + 5 * old_eps[-2]) / 12 - elif len(old_eps) >= 3: - # 4nd order Pseudo Linear Multistep (Adams-Bashforth) - e_t_prime = (55 * e_t - 59 * old_eps[-1] + 37 * old_eps[-2] - 9 * old_eps[-3]) / 24 - - x_prev, pred_x0 = get_x_prev_and_pred_x0(e_t_prime, index) - - return x_prev, pred_x0, e_t - - -def do_inpainting_hijack(): - # p_sample_plms is needed because PLMS can't work with dicts as conditionings - - ldm.models.diffusion.plms.PLMSSampler.p_sample_plms = p_sample_plms diff --git a/spaces/artificialguybr/qwen-14b-chat-demo/app.py b/spaces/artificialguybr/qwen-14b-chat-demo/app.py deleted file mode 100644 index 5c40851955200622bc7d0a048b9fd40e3a1d5024..0000000000000000000000000000000000000000 --- a/spaces/artificialguybr/qwen-14b-chat-demo/app.py +++ /dev/null @@ -1,128 +0,0 @@ -import os -import gradio as gr -import mdtex2html -import torch -from transformers import AutoModelForCausalLM, AutoTokenizer -from transformers.generation import GenerationConfig - -# Initialize model and tokenizer -tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen-14B-Chat-int4", trust_remote_code=True) -model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen-14B-Chat-int4", device_map="auto", trust_remote_code=True).eval() -model.generation_config = GenerationConfig.from_pretrained("Qwen/Qwen-14B-Chat-int4", trust_remote_code=True) - -# Postprocess function -def postprocess(self, y): - if y is None: - return [] - for i, (message, response) in enumerate(y): - y[i] = ( - None if message is None else mdtex2html.convert(message), - None if response is None else mdtex2html.convert(response), - ) - return y - -gr.Chatbot.postprocess = postprocess -# Text parsing function -def _parse_text(text): - lines = text.split("\n") - lines = [line for line in lines if line != ""] - count = 0 - for i, line in enumerate(lines): - if "```" in line: - count += 1 - items = line.split("`") - if count % 2 == 1: - lines[i] = f'
'
-            else:
-                lines[i] = f"
" - else: - if i > 0: - if count % 2 == 1: - line = line.replace("`", r"\`") - line = line.replace("<", "<") - line = line.replace(">", ">") - line = line.replace(" ", " ") - line = line.replace("*", "*") - line = line.replace("_", "_") - line = line.replace("-", "-") - line = line.replace(".", ".") - line = line.replace("!", "!") - line = line.replace("(", "(") - line = line.replace(")", ")") - line = line.replace("$", "$") - lines[i] = "
" + line - text = "".join(lines) - return text - -# Demo launching function -def _launch_demo(args, model, tokenizer, config): - def predict(_query, _chatbot, _task_history): - print(f"User: {_parse_text(_query)}") - _chatbot.append((_parse_text(_query), "")) - full_response = "" - - for response in model.chat_stream(tokenizer, _query, history=_task_history, generation_config=config): - _chatbot[-1] = (_parse_text(_query), _parse_text(response)) - - yield _chatbot - full_response = _parse_text(response) - - print(f"History: {_task_history}") - _task_history.append((_query, full_response)) - print(f"Qwen-Chat: {_parse_text(full_response)}") - - def regenerate(_chatbot, _task_history): - if not _task_history: - yield _chatbot - return - item = _task_history.pop(-1) - _chatbot.pop(-1) - yield from predict(item[0], _chatbot, _task_history) - - def reset_user_input(): - return gr.update(value="") - - def reset_state(_chatbot, _task_history): - _task_history.clear() - _chatbot.clear() - import gc - gc.collect() - torch.cuda.empty_cache() - return _chatbot - - with gr.Blocks() as demo: - gr.Markdown(""" - ## Qwen-14B-Chat: A Large Language Model by Alibaba Cloud - **Space created by [@artificialguybr](https://twitter.com/artificialguybr) based on QWEN Code. Thanks HF for GPU!** - **Qwen is currently SOTA in the benchmarks for 14B models.** - **Test QWEN-VL. A multimodal model that accept images! [QWEN-VL](https://huggingface.co/spaces/artificialguybr/qwen-vl)** - """) - chatbot = gr.Chatbot(label='Qwen-Chat', elem_classes="control-height", queue=True) - query = gr.Textbox(lines=2, label='Input') - task_history = gr.State([]) - - with gr.Row(): - submit_btn = gr.Button("🚀 Submit") - empty_btn = gr.Button("🧹 Clear History") - regen_btn = gr.Button("🤔️ Regenerate") - - submit_btn.click(predict, [query, chatbot, task_history], [chatbot], show_progress=True, queue=True) # Enable queue - submit_btn.click(reset_user_input, [], [query], queue=False) #No queue for resetting - empty_btn.click(reset_state, [chatbot, task_history], outputs=[chatbot], show_progress=True, queue=False) #No queue for clearing - regen_btn.click(regenerate, [chatbot, task_history], [chatbot], show_progress=True, queue=True) # Enable queue - gr.Markdown("""### Performance Metrics: - - **MMLU Accuracy**: - - 0-shot: 64.6 - - 5-shot: 66.5 - - **HumanEval Pass@1**: 43.9 - - **GSM8K Accuracy**: - - 0-shot: 60.1 - - 8-shot: 59.3 - """) - demo.queue(max_size=20) - demo.launch() - - -# Main execution -if __name__ == "__main__": - _launch_demo(None, model, tokenizer, model.generation_config) diff --git a/spaces/artificialguybr/video-dubbing/TTS/TTS/tts/layers/align_tts/duration_predictor.py b/spaces/artificialguybr/video-dubbing/TTS/TTS/tts/layers/align_tts/duration_predictor.py deleted file mode 100644 index b2b83894cc3f87575a89ea8fd7bf4a584ca22c28..0000000000000000000000000000000000000000 --- a/spaces/artificialguybr/video-dubbing/TTS/TTS/tts/layers/align_tts/duration_predictor.py +++ /dev/null @@ -1,21 +0,0 @@ -from torch import nn - -from TTS.tts.layers.generic.pos_encoding import PositionalEncoding -from TTS.tts.layers.generic.transformer import FFTransformerBlock - - -class DurationPredictor(nn.Module): - def __init__(self, num_chars, hidden_channels, hidden_channels_ffn, num_heads): - super().__init__() - self.embed = nn.Embedding(num_chars, hidden_channels) - self.pos_enc = PositionalEncoding(hidden_channels, dropout_p=0.1) - self.FFT = FFTransformerBlock(hidden_channels, num_heads, hidden_channels_ffn, 2, 0.1) - self.out_layer = nn.Conv1d(hidden_channels, 1, 1) - - def forward(self, text, text_lengths): - # B, L -> B, L - emb = self.embed(text) - emb = self.pos_enc(emb.transpose(1, 2)) - x = self.FFT(emb, text_lengths) - x = self.out_layer(x).squeeze(-1) - return x diff --git a/spaces/artificialguybr/video-dubbing/TTS/TTS/tts/layers/delightful_tts/conformer.py b/spaces/artificialguybr/video-dubbing/TTS/TTS/tts/layers/delightful_tts/conformer.py deleted file mode 100644 index b2175b3b965c6b100846e87d405a753dc272c9e7..0000000000000000000000000000000000000000 --- a/spaces/artificialguybr/video-dubbing/TTS/TTS/tts/layers/delightful_tts/conformer.py +++ /dev/null @@ -1,450 +0,0 @@ -### credit: https://github.com/dunky11/voicesmith -import math -from typing import Tuple - -import torch -import torch.nn as nn # pylint: disable=consider-using-from-import -import torch.nn.functional as F - -from TTS.tts.layers.delightful_tts.conv_layers import Conv1dGLU, DepthWiseConv1d, PointwiseConv1d -from TTS.tts.layers.delightful_tts.networks import GLUActivation - - -def calc_same_padding(kernel_size: int) -> Tuple[int, int]: - pad = kernel_size // 2 - return (pad, pad - (kernel_size + 1) % 2) - - -class Conformer(nn.Module): - def __init__( - self, - dim: int, - n_layers: int, - n_heads: int, - speaker_embedding_dim: int, - p_dropout: float, - kernel_size_conv_mod: int, - lrelu_slope: float, - ): - """ - A Transformer variant that integrates both CNNs and Transformers components. - Conformer proposes a novel combination of self-attention and convolution, in which self-attention - learns the global interaction while the convolutions efficiently capture the local correlations. - - Args: - dim (int): Number of the dimensions for the model. - n_layers (int): Number of model layers. - n_heads (int): The number of attention heads. - speaker_embedding_dim (int): Number of speaker embedding dimensions. - p_dropout (float): Probabilty of dropout. - kernel_size_conv_mod (int): Size of kernels for convolution modules. - - Inputs: inputs, mask - - **inputs** (batch, time, dim): Tensor containing input vector - - **encoding** (batch, time, dim): Positional embedding tensor - - **mask** (batch, 1, time2) or (batch, time1, time2): Tensor containing indices to be masked - Returns: - - **outputs** (batch, time, dim): Tensor produced by Conformer Encoder. - """ - super().__init__() - d_k = d_v = dim // n_heads - self.layer_stack = nn.ModuleList( - [ - ConformerBlock( - dim, - n_heads, - d_k, - d_v, - kernel_size_conv_mod=kernel_size_conv_mod, - dropout=p_dropout, - speaker_embedding_dim=speaker_embedding_dim, - lrelu_slope=lrelu_slope, - ) - for _ in range(n_layers) - ] - ) - - def forward( - self, - x: torch.Tensor, - mask: torch.Tensor, - speaker_embedding: torch.Tensor, - encoding: torch.Tensor, - ) -> torch.Tensor: - """ - Shapes: - - x: :math:`[B, T_src, C]` - - mask: :math: `[B]` - - speaker_embedding: :math: `[B, C]` - - encoding: :math: `[B, T_max2, C]` - """ - - attn_mask = mask.view((mask.shape[0], 1, 1, mask.shape[1])) - for enc_layer in self.layer_stack: - x = enc_layer( - x, - mask=mask, - slf_attn_mask=attn_mask, - speaker_embedding=speaker_embedding, - encoding=encoding, - ) - return x - - -class ConformerBlock(torch.nn.Module): - def __init__( - self, - d_model: int, - n_head: int, - d_k: int, # pylint: disable=unused-argument - d_v: int, # pylint: disable=unused-argument - kernel_size_conv_mod: int, - speaker_embedding_dim: int, - dropout: float, - lrelu_slope: float = 0.3, - ): - """ - A Conformer block is composed of four modules stacked together, - A feed-forward module, a self-attention module, a convolution module, - and a second feed-forward module in the end. The block starts with two Feed forward - modules sandwiching the Multi-Headed Self-Attention module and the Conv module. - - Args: - d_model (int): The dimension of model - n_head (int): The number of attention heads. - kernel_size_conv_mod (int): Size of kernels for convolution modules. - speaker_embedding_dim (int): Number of speaker embedding dimensions. - emotion_embedding_dim (int): Number of emotion embedding dimensions. - dropout (float): Probabilty of dropout. - - Inputs: inputs, mask - - **inputs** (batch, time, dim): Tensor containing input vector - - **encoding** (batch, time, dim): Positional embedding tensor - - **slf_attn_mask** (batch, 1, 1, time1): Tensor containing indices to be masked in self attention module - - **mask** (batch, 1, time2) or (batch, time1, time2): Tensor containing indices to be masked - Returns: - - **outputs** (batch, time, dim): Tensor produced by the Conformer Block. - """ - super().__init__() - if isinstance(speaker_embedding_dim, int): - self.conditioning = Conv1dGLU( - d_model=d_model, - kernel_size=kernel_size_conv_mod, - padding=kernel_size_conv_mod // 2, - embedding_dim=speaker_embedding_dim, - ) - - self.ff = FeedForward(d_model=d_model, dropout=dropout, kernel_size=3, lrelu_slope=lrelu_slope) - self.conformer_conv_1 = ConformerConvModule( - d_model, kernel_size=kernel_size_conv_mod, dropout=dropout, lrelu_slope=lrelu_slope - ) - self.ln = nn.LayerNorm(d_model) - self.slf_attn = ConformerMultiHeadedSelfAttention(d_model=d_model, num_heads=n_head, dropout_p=dropout) - self.conformer_conv_2 = ConformerConvModule( - d_model, kernel_size=kernel_size_conv_mod, dropout=dropout, lrelu_slope=lrelu_slope - ) - - def forward( - self, - x: torch.Tensor, - speaker_embedding: torch.Tensor, - mask: torch.Tensor, - slf_attn_mask: torch.Tensor, - encoding: torch.Tensor, - ) -> torch.Tensor: - """ - Shapes: - - x: :math:`[B, T_src, C]` - - mask: :math: `[B]` - - slf_attn_mask: :math: `[B, 1, 1, T_src]` - - speaker_embedding: :math: `[B, C]` - - emotion_embedding: :math: `[B, C]` - - encoding: :math: `[B, T_max2, C]` - """ - if speaker_embedding is not None: - x = self.conditioning(x, embeddings=speaker_embedding) - x = self.ff(x) + x - x = self.conformer_conv_1(x) + x - res = x - x = self.ln(x) - x, _ = self.slf_attn(query=x, key=x, value=x, mask=slf_attn_mask, encoding=encoding) - x = x + res - x = x.masked_fill(mask.unsqueeze(-1), 0) - - x = self.conformer_conv_2(x) + x - return x - - -class FeedForward(nn.Module): - def __init__( - self, - d_model: int, - kernel_size: int, - dropout: float, - lrelu_slope: float, - expansion_factor: int = 4, - ): - """ - Feed Forward module for conformer block. - - Args: - d_model (int): The dimension of model. - kernel_size (int): Size of the kernels for conv layers. - dropout (float): probability of dropout. - expansion_factor (int): The factor by which to project the number of channels. - lrelu_slope (int): the negative slope factor for the leaky relu activation. - - Inputs: inputs - - **inputs** (batch, time, dim): Tensor containing input vector - Returns: - - **outputs** (batch, time, dim): Tensor produced by the feed forward module. - """ - super().__init__() - self.dropout = nn.Dropout(dropout) - self.ln = nn.LayerNorm(d_model) - self.conv_1 = nn.Conv1d( - d_model, - d_model * expansion_factor, - kernel_size=kernel_size, - padding=kernel_size // 2, - ) - self.act = nn.LeakyReLU(lrelu_slope) - self.conv_2 = nn.Conv1d(d_model * expansion_factor, d_model, kernel_size=1) - - def forward(self, x: torch.Tensor) -> torch.Tensor: - """ - Shapes: - x: :math: `[B, T, C]` - """ - x = self.ln(x) - x = x.permute((0, 2, 1)) - x = self.conv_1(x) - x = x.permute((0, 2, 1)) - x = self.act(x) - x = self.dropout(x) - x = x.permute((0, 2, 1)) - x = self.conv_2(x) - x = x.permute((0, 2, 1)) - x = self.dropout(x) - x = 0.5 * x - return x - - -class ConformerConvModule(nn.Module): - def __init__( - self, - d_model: int, - expansion_factor: int = 2, - kernel_size: int = 7, - dropout: float = 0.1, - lrelu_slope: float = 0.3, - ): - """ - Convolution module for conformer. Starts with a gating machanism. - a pointwise convolution and a gated linear unit (GLU). This is followed - by a single 1-D depthwise convolution layer. Batchnorm is deployed just after the convolution - to help with training. it also contains an expansion factor to project the number of channels. - - Args: - d_model (int): The dimension of model. - expansion_factor (int): The factor by which to project the number of channels. - kernel_size (int): Size of kernels for convolution modules. - dropout (float): Probabilty of dropout. - lrelu_slope (float): The slope coefficient for leaky relu activation. - - Inputs: inputs - - **inputs** (batch, time, dim): Tensor containing input vector - Returns: - - **outputs** (batch, time, dim): Tensor produced by the conv module. - - """ - super().__init__() - inner_dim = d_model * expansion_factor - self.ln_1 = nn.LayerNorm(d_model) - self.conv_1 = PointwiseConv1d(d_model, inner_dim * 2) - self.conv_act = GLUActivation(slope=lrelu_slope) - self.depthwise = DepthWiseConv1d( - inner_dim, - inner_dim, - kernel_size=kernel_size, - padding=calc_same_padding(kernel_size)[0], - ) - self.ln_2 = nn.GroupNorm(1, inner_dim) - self.activation = nn.LeakyReLU(lrelu_slope) - self.conv_2 = PointwiseConv1d(inner_dim, d_model) - self.dropout = nn.Dropout(dropout) - - def forward(self, x: torch.Tensor) -> torch.Tensor: - """ - Shapes: - x: :math: `[B, T, C]` - """ - x = self.ln_1(x) - x = x.permute(0, 2, 1) - x = self.conv_1(x) - x = self.conv_act(x) - x = self.depthwise(x) - x = self.ln_2(x) - x = self.activation(x) - x = self.conv_2(x) - x = x.permute(0, 2, 1) - x = self.dropout(x) - return x - - -class ConformerMultiHeadedSelfAttention(nn.Module): - """ - Conformer employ multi-headed self-attention (MHSA) while integrating an important technique from Transformer-XL, - the relative sinusoidal positional encoding scheme. The relative positional encoding allows the self-attention - module to generalize better on different input length and the resulting encoder is more robust to the variance of - the utterance length. Conformer use prenorm residual units with dropout which helps training - and regularizing deeper models. - Args: - d_model (int): The dimension of model - num_heads (int): The number of attention heads. - dropout_p (float): probability of dropout - Inputs: inputs, mask - - **inputs** (batch, time, dim): Tensor containing input vector - - **mask** (batch, 1, time2) or (batch, time1, time2): Tensor containing indices to be masked - Returns: - - **outputs** (batch, time, dim): Tensor produces by relative multi headed self attention module. - """ - - def __init__(self, d_model: int, num_heads: int, dropout_p: float): - super().__init__() - self.attention = RelativeMultiHeadAttention(d_model=d_model, num_heads=num_heads) - self.dropout = nn.Dropout(p=dropout_p) - - def forward( - self, - query: torch.Tensor, - key: torch.Tensor, - value: torch.Tensor, - mask: torch.Tensor, - encoding: torch.Tensor, - ) -> Tuple[torch.Tensor, torch.Tensor]: - batch_size, seq_length, _ = key.size() # pylint: disable=unused-variable - encoding = encoding[:, : key.shape[1]] - encoding = encoding.repeat(batch_size, 1, 1) - outputs, attn = self.attention(query, key, value, pos_embedding=encoding, mask=mask) - outputs = self.dropout(outputs) - return outputs, attn - - -class RelativeMultiHeadAttention(nn.Module): - """ - Multi-head attention with relative positional encoding. - This concept was proposed in the "Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context" - Args: - d_model (int): The dimension of model - num_heads (int): The number of attention heads. - Inputs: query, key, value, pos_embedding, mask - - **query** (batch, time, dim): Tensor containing query vector - - **key** (batch, time, dim): Tensor containing key vector - - **value** (batch, time, dim): Tensor containing value vector - - **pos_embedding** (batch, time, dim): Positional embedding tensor - - **mask** (batch, 1, time2) or (batch, time1, time2): Tensor containing indices to be masked - Returns: - - **outputs**: Tensor produces by relative multi head attention module. - """ - - def __init__( - self, - d_model: int = 512, - num_heads: int = 16, - ): - super().__init__() - assert d_model % num_heads == 0, "d_model % num_heads should be zero." - self.d_model = d_model - self.d_head = int(d_model / num_heads) - self.num_heads = num_heads - self.sqrt_dim = math.sqrt(d_model) - - self.query_proj = nn.Linear(d_model, d_model) - self.key_proj = nn.Linear(d_model, d_model, bias=False) - self.value_proj = nn.Linear(d_model, d_model, bias=False) - self.pos_proj = nn.Linear(d_model, d_model, bias=False) - - self.u_bias = nn.Parameter(torch.Tensor(self.num_heads, self.d_head)) - self.v_bias = nn.Parameter(torch.Tensor(self.num_heads, self.d_head)) - torch.nn.init.xavier_uniform_(self.u_bias) - torch.nn.init.xavier_uniform_(self.v_bias) - self.out_proj = nn.Linear(d_model, d_model) - - def forward( - self, - query: torch.Tensor, - key: torch.Tensor, - value: torch.Tensor, - pos_embedding: torch.Tensor, - mask: torch.Tensor, - ) -> Tuple[torch.Tensor, torch.Tensor]: - batch_size = query.shape[0] - query = self.query_proj(query).view(batch_size, -1, self.num_heads, self.d_head) - key = self.key_proj(key).view(batch_size, -1, self.num_heads, self.d_head).permute(0, 2, 1, 3) - value = self.value_proj(value).view(batch_size, -1, self.num_heads, self.d_head).permute(0, 2, 1, 3) - pos_embedding = self.pos_proj(pos_embedding).view(batch_size, -1, self.num_heads, self.d_head) - u_bias = self.u_bias.expand_as(query) - v_bias = self.v_bias.expand_as(query) - a = (query + u_bias).transpose(1, 2) - content_score = a @ key.transpose(2, 3) - b = (query + v_bias).transpose(1, 2) - pos_score = b @ pos_embedding.permute(0, 2, 3, 1) - pos_score = self._relative_shift(pos_score) - - score = content_score + pos_score - score = score * (1.0 / self.sqrt_dim) - - score.masked_fill_(mask, -1e9) - - attn = F.softmax(score, -1) - - context = (attn @ value).transpose(1, 2) - context = context.contiguous().view(batch_size, -1, self.d_model) - - return self.out_proj(context), attn - - def _relative_shift(self, pos_score: torch.Tensor) -> torch.Tensor: # pylint: disable=no-self-use - batch_size, num_heads, seq_length1, seq_length2 = pos_score.size() - zeros = torch.zeros((batch_size, num_heads, seq_length1, 1), device=pos_score.device) - padded_pos_score = torch.cat([zeros, pos_score], dim=-1) - padded_pos_score = padded_pos_score.view(batch_size, num_heads, seq_length2 + 1, seq_length1) - pos_score = padded_pos_score[:, :, 1:].view_as(pos_score) - return pos_score - - -class MultiHeadAttention(nn.Module): - """ - input: - query --- [N, T_q, query_dim] - key --- [N, T_k, key_dim] - output: - out --- [N, T_q, num_units] - """ - - def __init__(self, query_dim: int, key_dim: int, num_units: int, num_heads: int): - super().__init__() - self.num_units = num_units - self.num_heads = num_heads - self.key_dim = key_dim - - self.W_query = nn.Linear(in_features=query_dim, out_features=num_units, bias=False) - self.W_key = nn.Linear(in_features=key_dim, out_features=num_units, bias=False) - self.W_value = nn.Linear(in_features=key_dim, out_features=num_units, bias=False) - - def forward(self, query: torch.Tensor, key: torch.Tensor) -> torch.Tensor: - querys = self.W_query(query) # [N, T_q, num_units] - keys = self.W_key(key) # [N, T_k, num_units] - values = self.W_value(key) - split_size = self.num_units // self.num_heads - querys = torch.stack(torch.split(querys, split_size, dim=2), dim=0) # [h, N, T_q, num_units/h] - keys = torch.stack(torch.split(keys, split_size, dim=2), dim=0) # [h, N, T_k, num_units/h] - values = torch.stack(torch.split(values, split_size, dim=2), dim=0) # [h, N, T_k, num_units/h] - # score = softmax(QK^T / (d_k ** 0.5)) - scores = torch.matmul(querys, keys.transpose(2, 3)) # [h, N, T_q, T_k] - scores = scores / (self.key_dim**0.5) - scores = F.softmax(scores, dim=3) - # out = score * V - out = torch.matmul(scores, values) # [h, N, T_q, num_units/h] - out = torch.cat(torch.split(out, 1, dim=0), dim=3).squeeze(0) # [N, T_q, num_units] - return out diff --git a/spaces/artificialguybr/video-dubbing/TTS/TTS/tts/layers/glow_tts/duration_predictor.py b/spaces/artificialguybr/video-dubbing/TTS/TTS/tts/layers/glow_tts/duration_predictor.py deleted file mode 100644 index e766ed6ab5a0348eaca8d1482be124003d8b8c68..0000000000000000000000000000000000000000 --- a/spaces/artificialguybr/video-dubbing/TTS/TTS/tts/layers/glow_tts/duration_predictor.py +++ /dev/null @@ -1,69 +0,0 @@ -import torch -from torch import nn - -from ..generic.normalization import LayerNorm - - -class DurationPredictor(nn.Module): - """Glow-TTS duration prediction model. - - :: - - [2 x (conv1d_kxk -> relu -> layer_norm -> dropout)] -> conv1d_1x1 -> durs - - Args: - in_channels (int): Number of channels of the input tensor. - hidden_channels (int): Number of hidden channels of the network. - kernel_size (int): Kernel size for the conv layers. - dropout_p (float): Dropout rate used after each conv layer. - """ - - def __init__(self, in_channels, hidden_channels, kernel_size, dropout_p, cond_channels=None, language_emb_dim=None): - super().__init__() - - # add language embedding dim in the input - if language_emb_dim: - in_channels += language_emb_dim - - # class arguments - self.in_channels = in_channels - self.filter_channels = hidden_channels - self.kernel_size = kernel_size - self.dropout_p = dropout_p - # layers - self.drop = nn.Dropout(dropout_p) - self.conv_1 = nn.Conv1d(in_channels, hidden_channels, kernel_size, padding=kernel_size // 2) - self.norm_1 = LayerNorm(hidden_channels) - self.conv_2 = nn.Conv1d(hidden_channels, hidden_channels, kernel_size, padding=kernel_size // 2) - self.norm_2 = LayerNorm(hidden_channels) - # output layer - self.proj = nn.Conv1d(hidden_channels, 1, 1) - if cond_channels is not None and cond_channels != 0: - self.cond = nn.Conv1d(cond_channels, in_channels, 1) - - if language_emb_dim != 0 and language_emb_dim is not None: - self.cond_lang = nn.Conv1d(language_emb_dim, in_channels, 1) - - def forward(self, x, x_mask, g=None, lang_emb=None): - """ - Shapes: - - x: :math:`[B, C, T]` - - x_mask: :math:`[B, 1, T]` - - g: :math:`[B, C, 1]` - """ - if g is not None: - x = x + self.cond(g) - - if lang_emb is not None: - x = x + self.cond_lang(lang_emb) - - x = self.conv_1(x * x_mask) - x = torch.relu(x) - x = self.norm_1(x) - x = self.drop(x) - x = self.conv_2(x * x_mask) - x = torch.relu(x) - x = self.norm_2(x) - x = self.drop(x) - x = self.proj(x * x_mask) - return x * x_mask diff --git a/spaces/artificialguybr/video-dubbing/TTS/TTS/tts/layers/xtts/trainer/gpt_trainer.py b/spaces/artificialguybr/video-dubbing/TTS/TTS/tts/layers/xtts/trainer/gpt_trainer.py deleted file mode 100644 index 005b30bedee4251e25dd7bcc26c2fb37acf488fd..0000000000000000000000000000000000000000 --- a/spaces/artificialguybr/video-dubbing/TTS/TTS/tts/layers/xtts/trainer/gpt_trainer.py +++ /dev/null @@ -1,499 +0,0 @@ -from dataclasses import dataclass, field -from typing import Dict, List, Tuple, Union - -import torch -import torch.nn as nn -import torchaudio -from coqpit import Coqpit -from torch.nn import functional as F -from torch.utils.data import DataLoader -from trainer.torch import DistributedSampler -from trainer.trainer_utils import get_optimizer, get_scheduler - -from TTS.tts.configs.xtts_config import XttsConfig -from TTS.tts.datasets.dataset import TTSDataset -from TTS.tts.layers.tortoise.arch_utils import TorchMelSpectrogram -from TTS.tts.layers.xtts.dvae import DiscreteVAE -from TTS.tts.layers.xtts.tokenizer import VoiceBpeTokenizer -from TTS.tts.layers.xtts.trainer.dataset import XTTSDataset -from TTS.tts.models.base_tts import BaseTTS -from TTS.tts.models.xtts import Xtts, XttsArgs, XttsAudioConfig -from TTS.utils.io import load_fsspec - - -@dataclass -class GPTTrainerConfig(XttsConfig): - lr: float = 5e-06 - training_seed: int = 1 - optimizer_wd_only_on_weights: bool = False - weighted_loss_attrs: dict = field(default_factory=lambda: {}) - weighted_loss_multipliers: dict = field(default_factory=lambda: {}) - test_sentences: List[dict] = field(default_factory=lambda: []) - - -@dataclass -class XttsAudioConfig(XttsAudioConfig): - dvae_sample_rate: int = 22050 - - -@dataclass -class GPTArgs(XttsArgs): - min_conditioning_length: int = 66150 - max_conditioning_length: int = 132300 - gpt_loss_text_ce_weight: float = 0.01 - gpt_loss_mel_ce_weight: float = 1.0 - gpt_num_audio_tokens: int = 8194 - debug_loading_failures: bool = False - max_wav_length: int = 255995 # ~11.6 seconds - max_text_length: int = 200 - tokenizer_file: str = "" - mel_norm_file: str = "https://coqui.gateway.scarf.sh/v0.14.0_models/mel_norms.pth" - dvae_checkpoint: str = "" - xtts_checkpoint: str = "" - gpt_checkpoint: str = "" # if defined it will replace the gpt weights on xtts model - vocoder: str = "" # overide vocoder key on the config to avoid json write issues - - -def callback_clearml_load_save(operation_type, model_info): - # return None means skip the file upload/log, returning model_info will continue with the log/upload - # you can also change the upload destination file name model_info.upload_filename or check the local file size with Path(model_info.local_model_path).stat().st_size - assert operation_type in ("load", "save") - # print(operation_type, model_info.__dict__) - - if "similarities.pth" in model_info.__dict__["local_model_path"]: - return None - - return model_info - - -class GPTTrainer(BaseTTS): - def __init__(self, config: Coqpit): - """ - Tortoise GPT training class - """ - super().__init__(config, ap=None, tokenizer=None) - self.config = config - # init XTTS model - self.xtts = Xtts(self.config) - # create the tokenizer with the target vocabulary - self.xtts.tokenizer = VoiceBpeTokenizer(self.args.tokenizer_file) - # init gpt encoder and hifigan decoder - self.xtts.init_models() - - if self.args.xtts_checkpoint: - self.load_checkpoint(self.config, self.args.xtts_checkpoint, eval=False, strict=False) - - # set mel stats - if self.args.mel_norm_file: - self.xtts.mel_stats = load_fsspec(self.args.mel_norm_file) - - # load GPT if available - if self.args.gpt_checkpoint: - gpt_checkpoint = torch.load(self.args.gpt_checkpoint, map_location=torch.device("cpu")) - # deal with coqui Trainer exported model - if "model" in gpt_checkpoint.keys() and "config" in gpt_checkpoint.keys(): - print("Coqui Trainer checkpoint detected! Converting it!") - gpt_checkpoint = gpt_checkpoint["model"] - states_keys = list(gpt_checkpoint.keys()) - for key in states_keys: - if "gpt." in key: - new_key = key.replace("gpt.", "") - gpt_checkpoint[new_key] = gpt_checkpoint[key] - del gpt_checkpoint[key] - else: - del gpt_checkpoint[key] - - # edit checkpoint if the number of tokens is changed to ensures the better transfer learning possible - if ( - "text_embedding.weight" in gpt_checkpoint - and gpt_checkpoint["text_embedding.weight"].shape != self.xtts.gpt.text_embedding.weight.shape - ): - num_new_tokens = ( - self.xtts.gpt.text_embedding.weight.shape[0] - gpt_checkpoint["text_embedding.weight"].shape[0] - ) - print(f" > Loading checkpoint with {num_new_tokens} additional tokens.") - - # add new tokens to a linear layer (text_head) - emb_g = gpt_checkpoint["text_embedding.weight"] - new_row = torch.randn(num_new_tokens, emb_g.shape[1]) - start_token_row = emb_g[-1, :] - emb_g = torch.cat([emb_g, new_row], axis=0) - emb_g[-1, :] = start_token_row - gpt_checkpoint["text_embedding.weight"] = emb_g - - # add new weights to the linear layer (text_head) - text_head_weight = gpt_checkpoint["text_head.weight"] - start_token_row = text_head_weight[-1, :] - new_entry = torch.randn(num_new_tokens, self.xtts.gpt.text_head.weight.shape[1]) - text_head_weight = torch.cat([text_head_weight, new_entry], axis=0) - text_head_weight[-1, :] = start_token_row - gpt_checkpoint["text_head.weight"] = text_head_weight - - # add new biases to the linear layer (text_head) - text_head_bias = gpt_checkpoint["text_head.bias"] - start_token_row = text_head_bias[-1] - new_bias_entry = torch.zeros(num_new_tokens) - text_head_bias = torch.cat([text_head_bias, new_bias_entry], axis=0) - text_head_bias[-1] = start_token_row - gpt_checkpoint["text_head.bias"] = text_head_bias - - self.xtts.gpt.load_state_dict(gpt_checkpoint, strict=True) - print(">> GPT weights restored from:", self.args.gpt_checkpoint) - - # Mel spectrogram extractor for conditioning - if self.args.gpt_use_perceiver_resampler: - self.torch_mel_spectrogram_style_encoder = TorchMelSpectrogram( - filter_length=2048, - hop_length=256, - win_length=1024, - normalize=False, - sampling_rate=config.audio.sample_rate, - mel_fmin=0, - mel_fmax=8000, - n_mel_channels=80, - mel_norm_file=self.args.mel_norm_file, - ) - else: - self.torch_mel_spectrogram_style_encoder = TorchMelSpectrogram( - filter_length=4096, - hop_length=1024, - win_length=4096, - normalize=False, - sampling_rate=config.audio.sample_rate, - mel_fmin=0, - mel_fmax=8000, - n_mel_channels=80, - mel_norm_file=self.args.mel_norm_file, - ) - - # Load DVAE - self.dvae = DiscreteVAE( - channels=80, - normalization=None, - positional_dims=1, - num_tokens=self.args.gpt_num_audio_tokens - 2, - codebook_dim=512, - hidden_dim=512, - num_resnet_blocks=3, - kernel_size=3, - num_layers=2, - use_transposed_convs=False, - ) - - self.dvae.eval() - if self.args.dvae_checkpoint: - dvae_checkpoint = torch.load(self.args.dvae_checkpoint, map_location=torch.device("cpu")) - self.dvae.load_state_dict(dvae_checkpoint, strict=False) - print(">> DVAE weights restored from:", self.args.dvae_checkpoint) - else: - raise RuntimeError( - "You need to specify config.model_args.dvae_checkpoint path to be able to train the GPT decoder!!" - ) - - # Mel spectrogram extractor for DVAE - self.torch_mel_spectrogram_dvae = TorchMelSpectrogram( - mel_norm_file=self.args.mel_norm_file, sampling_rate=config.audio.dvae_sample_rate - ) - - @property - def device(self): - return next(self.parameters()).device - - def forward(self, text_inputs, text_lengths, audio_codes, wav_lengths, cond_mels, cond_idxs, cond_lens): - """ - Forward pass that uses both text and voice in either text conditioning mode or voice conditioning mode - (actuated by `text_first`). - - text_inputs: long tensor, (b,t) - text_lengths: long tensor, (b,) - mel_inputs: long tensor, (b,m) - wav_lengths: long tensor, (b,) - cond_mels: MEL float tensor, (b, num_samples, 80,t_m) - cond_idxs: cond start and end indexs, (b, 2) - cond_lens: long tensor, (b,) - """ - losses = self.xtts.gpt( - text_inputs, - text_lengths, - audio_codes, - wav_lengths, - cond_mels=cond_mels, - cond_idxs=cond_idxs, - cond_lens=cond_lens, - ) - return losses - - @torch.no_grad() - def test_run(self, assets) -> Tuple[Dict, Dict]: # pylint: disable=W0613 - if self.config.test_sentences: - # init gpt for inference mode - self.xtts.gpt.init_gpt_for_inference(kv_cache=self.args.kv_cache, use_deepspeed=False) - self.xtts.gpt.eval() - test_audios = {} - print(" | > Synthesizing test sentences.") - for idx, s_info in enumerate(self.config.test_sentences): - wav = self.xtts.synthesize( - s_info["text"], - self.config, - s_info["speaker_wav"], - s_info["language"], - gpt_cond_len=3, - )["wav"] - test_audios["{}-audio".format(idx)] = wav - - # delete inference layers - del self.xtts.gpt.gpt_inference - del self.xtts.gpt.gpt.wte - return {"audios": test_audios} - - def test_log( - self, outputs: dict, logger: "Logger", assets: dict, steps: int # pylint: disable=unused-argument - ) -> None: - logger.test_audios(steps, outputs["audios"], self.args.output_sample_rate) - - def format_batch(self, batch: Dict) -> Dict: - return batch - - @torch.no_grad() # torch no grad to avoid gradients from the pre-processing and DVAE codes extraction - def format_batch_on_device(self, batch): - """Compute spectrograms on the device.""" - batch["text_lengths"] = batch["text_lengths"] - batch["wav_lengths"] = batch["wav_lengths"] - batch["text_inputs"] = batch["padded_text"] - batch["cond_idxs"] = batch["cond_idxs"] - # compute conditioning mel specs - # transform waves from torch.Size([B, num_cond_samples, 1, T] to torch.Size([B * num_cond_samples, 1, T] because if is faster than iterate the tensor - B, num_cond_samples, C, T = batch["conditioning"].size() - conditioning_reshaped = batch["conditioning"].view(B * num_cond_samples, C, T) - paired_conditioning_mel = self.torch_mel_spectrogram_style_encoder(conditioning_reshaped) - # transform torch.Size([B * num_cond_samples, n_mel, T_mel]) in torch.Size([B, num_cond_samples, n_mel, T_mel]) - n_mel = self.torch_mel_spectrogram_style_encoder.n_mel_channels # paired_conditioning_mel.size(1) - T_mel = paired_conditioning_mel.size(2) - paired_conditioning_mel = paired_conditioning_mel.view(B, num_cond_samples, n_mel, T_mel) - # get the conditioning embeddings - batch["cond_mels"] = paired_conditioning_mel - # compute codes using DVAE - if self.config.audio.sample_rate != self.config.audio.dvae_sample_rate: - dvae_wav = torchaudio.functional.resample( - batch["wav"], - orig_freq=self.config.audio.sample_rate, - new_freq=self.config.audio.dvae_sample_rate, - lowpass_filter_width=64, - rolloff=0.9475937167399596, - resampling_method="kaiser_window", - beta=14.769656459379492, - ) - else: - dvae_wav = batch["wav"] - dvae_mel_spec = self.torch_mel_spectrogram_dvae(dvae_wav) - codes = self.dvae.get_codebook_indices(dvae_mel_spec) - - batch["audio_codes"] = codes - # delete useless batch tensors - del batch["padded_text"] - del batch["wav"] - del batch["conditioning"] - return batch - - def train_step(self, batch, criterion): - loss_dict = {} - cond_mels = batch["cond_mels"] - text_inputs = batch["text_inputs"] - text_lengths = batch["text_lengths"] - audio_codes = batch["audio_codes"] - wav_lengths = batch["wav_lengths"] - cond_idxs = batch["cond_idxs"] - cond_lens = batch["cond_lens"] - - loss_text, loss_mel, _ = self.forward( - text_inputs, text_lengths, audio_codes, wav_lengths, cond_mels, cond_idxs, cond_lens - ) - loss_dict["loss_text_ce"] = loss_text * self.args.gpt_loss_text_ce_weight - loss_dict["loss_mel_ce"] = loss_mel * self.args.gpt_loss_mel_ce_weight - loss_dict["loss"] = loss_dict["loss_text_ce"] + loss_dict["loss_mel_ce"] - return {"model_outputs": None}, loss_dict - - def eval_step(self, batch, criterion): - # ignore masking for more consistent evaluation - batch["cond_idxs"] = None - return self.train_step(batch, criterion) - - def on_epoch_start(self, trainer): # pylint: disable=W0613 - # guarante that dvae will be in eval mode after .train() on evaluation end - self.dvae = self.dvae.eval() - - def on_init_end(self, trainer): # pylint: disable=W0613 - # ignore similarities.pth on clearml save/upload - if self.config.dashboard_logger.lower() == "clearml": - from clearml.binding.frameworks import WeightsFileHandler - - WeightsFileHandler.add_pre_callback(callback_clearml_load_save) - - @torch.no_grad() - def inference( - self, - x, - aux_input=None, - ): # pylint: disable=dangerous-default-value - return None - - @staticmethod - def get_criterion(): - return None - - def get_sampler(self, dataset: TTSDataset, num_gpus=1): - # sampler for DDP - batch_sampler = DistributedSampler(dataset) if num_gpus > 1 else None - return batch_sampler - - def get_data_loader( - self, - config: Coqpit, - assets: Dict, - is_eval: bool, - samples: Union[List[Dict], List[List]], - verbose: bool, - num_gpus: int, - rank: int = None, - ) -> "DataLoader": # pylint: disable=W0613 - if is_eval and not config.run_eval: - loader = None - else: - # init dataloader - dataset = XTTSDataset(self.config, samples, self.xtts.tokenizer, config.audio.sample_rate, is_eval) - - # wait all the DDP process to be ready - if num_gpus > 1: - torch.distributed.barrier() - - # sort input sequences from short to long - # dataset.preprocess_samples() - - # get samplers - sampler = self.get_sampler(dataset, num_gpus) - - # ignore sampler when is eval because if we changed the sampler parameter we will not be able to compare previous runs - if sampler is None or is_eval: - loader = DataLoader( - dataset, - batch_size=config.eval_batch_size if is_eval else config.batch_size, - shuffle=False, - drop_last=False, - collate_fn=dataset.collate_fn, - num_workers=config.num_eval_loader_workers if is_eval else config.num_loader_workers, - pin_memory=False, - ) - else: - loader = DataLoader( - dataset, - batch_sampler=sampler, - collate_fn=dataset.collate_fn, - num_workers=config.num_eval_loader_workers if is_eval else config.num_loader_workers, - pin_memory=False, - ) - return loader - - def get_optimizer(self) -> List: - """Initiate and return the optimizer based on the config parameters.""" - # ToDo: deal with multi GPU training - if self.config.optimizer_wd_only_on_weights: - # parameters to only GPT model - net = self.xtts.gpt - - # normalizations - norm_modules = ( - nn.BatchNorm2d, - nn.InstanceNorm2d, - nn.BatchNorm1d, - nn.InstanceNorm1d, - nn.BatchNorm3d, - nn.InstanceNorm3d, - nn.GroupNorm, - nn.LayerNorm, - ) - # nn.Embedding - emb_modules = (nn.Embedding, nn.EmbeddingBag) - - param_names_notweights = set() - all_param_names = set() - param_map = {} - for mn, m in net.named_modules(): - for k, v in m.named_parameters(): - v.is_bias = k.endswith(".bias") - v.is_weight = k.endswith(".weight") - v.is_norm = isinstance(m, norm_modules) - v.is_emb = isinstance(m, emb_modules) - - fpn = "%s.%s" % (mn, k) if mn else k # full param name - all_param_names.add(fpn) - param_map[fpn] = v - if v.is_bias or v.is_norm or v.is_emb: - param_names_notweights.add(fpn) - - params_names_notweights = sorted(list(param_names_notweights)) - params_notweights = [param_map[k] for k in params_names_notweights] - params_names_weights = sorted(list(all_param_names ^ param_names_notweights)) - params_weights = [param_map[k] for k in params_names_weights] - - groups = [ - {"params": params_weights, "weight_decay": self.config.optimizer_params["weight_decay"]}, - {"params": params_notweights, "weight_decay": 0}, - ] - # torch.optim.AdamW - opt = get_optimizer( - self.config.optimizer, - self.config.optimizer_params, - self.config.lr, - parameters=groups, - ) - opt._group_names = [params_names_weights, params_names_notweights] - return opt - - return get_optimizer( - self.config.optimizer, - self.config.optimizer_params, - self.config.lr, - # optimize only for the GPT model - parameters=self.xtts.gpt.parameters(), - ) - - def get_scheduler(self, optimizer) -> List: - """Set the scheduler for the optimizer. - - Args: - optimizer: `torch.optim.Optimizer`. - """ - return get_scheduler(self.config.lr_scheduler, self.config.lr_scheduler_params, optimizer) - - def load_checkpoint( - self, - config, - checkpoint_path, - eval=False, - strict=True, - cache_storage="/tmp/tts_cache", - target_protocol="s3", - target_options={"anon": True}, - ): # pylint: disable=unused-argument, disable=W0201, disable=W0102, redefined-builtin - """Load the model checkpoint and setup for training or inference""" - - state = self.xtts.get_compatible_checkpoint_state_dict(checkpoint_path) - - # load the model weights - self.xtts.load_state_dict(state, strict=strict) - - if eval: - self.xtts.gpt.init_gpt_for_inference(kv_cache=self.args.kv_cache, use_deepspeed=False) - self.eval() - assert not self.training - - @staticmethod - def init_from_config(config: "GPTTrainerConfig", samples: Union[List[List], List[Dict]] = None): - """Initiate model from config - - Args: - config (GPTTrainerConfig): Model config. - samples (Union[List[List], List[Dict]]): Training samples to parse speaker ids for training. - Defaults to None. - """ - return GPTTrainer(config) diff --git a/spaces/arxify/RVC-beta-v2-0618/runtime/Lib/site-packages/Cython/Debugger/Tests/TestLibCython.py b/spaces/arxify/RVC-beta-v2-0618/runtime/Lib/site-packages/Cython/Debugger/Tests/TestLibCython.py deleted file mode 100644 index 13560646ffc47b2957dfa649e4bb70693a14ac99..0000000000000000000000000000000000000000 --- a/spaces/arxify/RVC-beta-v2-0618/runtime/Lib/site-packages/Cython/Debugger/Tests/TestLibCython.py +++ /dev/null @@ -1,274 +0,0 @@ - -import os -import re -import sys -import shutil -import warnings -import textwrap -import unittest -import tempfile -import subprocess -#import distutils.core -#from distutils import sysconfig -from distutils import ccompiler - -import runtests -import Cython.Distutils.extension -import Cython.Distutils.old_build_ext as build_ext -from Cython.Debugger import Cygdb as cygdb - -root = os.path.dirname(os.path.abspath(__file__)) -codefile = os.path.join(root, 'codefile') -cfuncs_file = os.path.join(root, 'cfuncs.c') - -with open(codefile) as f: - source_to_lineno = dict((line.strip(), i + 1) for i, line in enumerate(f)) - - -have_gdb = None -def test_gdb(): - global have_gdb - if have_gdb is not None: - return have_gdb - - have_gdb = False - try: - p = subprocess.Popen(['gdb', '-nx', '--version'], stdout=subprocess.PIPE) - except OSError: - # gdb not found - gdb_version = None - else: - stdout, _ = p.communicate() - # Based on Lib/test/test_gdb.py - regex = r"GNU gdb [^\d]*(\d+)\.(\d+)" - gdb_version = re.match(regex, stdout.decode('ascii', 'ignore')) - - if gdb_version: - gdb_version_number = list(map(int, gdb_version.groups())) - if gdb_version_number >= [7, 2]: - have_gdb = True - with tempfile.NamedTemporaryFile(mode='w+') as python_version_script: - python_version_script.write( - 'python import sys; print("%s %s" % sys.version_info[:2])') - python_version_script.flush() - p = subprocess.Popen(['gdb', '-batch', '-x', python_version_script.name], - stdout=subprocess.PIPE) - stdout, _ = p.communicate() - try: - internal_python_version = list(map(int, stdout.decode('ascii', 'ignore').split())) - if internal_python_version < [2, 6]: - have_gdb = False - except ValueError: - have_gdb = False - - if not have_gdb: - warnings.warn('Skipping gdb tests, need gdb >= 7.2 with Python >= 2.6') - - return have_gdb - - -class DebuggerTestCase(unittest.TestCase): - - def setUp(self): - """ - Run gdb and have cygdb import the debug information from the code - defined in TestParseTreeTransforms's setUp method - """ - if not test_gdb(): - return - - self.tempdir = tempfile.mkdtemp() - self.destfile = os.path.join(self.tempdir, 'codefile.pyx') - self.debug_dest = os.path.join(self.tempdir, - 'cython_debug', - 'cython_debug_info_codefile') - self.cfuncs_destfile = os.path.join(self.tempdir, 'cfuncs') - - self.cwd = os.getcwd() - try: - os.chdir(self.tempdir) - - shutil.copy(codefile, self.destfile) - shutil.copy(cfuncs_file, self.cfuncs_destfile + '.c') - shutil.copy(cfuncs_file.replace('.c', '.h'), - self.cfuncs_destfile + '.h') - - compiler = ccompiler.new_compiler() - compiler.compile(['cfuncs.c'], debug=True, extra_postargs=['-fPIC']) - - opts = dict( - test_directory=self.tempdir, - module='codefile', - ) - - optimization_disabler = build_ext.Optimization() - - cython_compile_testcase = runtests.CythonCompileTestCase( - workdir=self.tempdir, - # we clean up everything (not only compiled files) - cleanup_workdir=False, - tags=runtests.parse_tags(codefile), - **opts - ) - - - new_stderr = open(os.devnull, 'w') - - stderr = sys.stderr - sys.stderr = new_stderr - - optimization_disabler.disable_optimization() - try: - cython_compile_testcase.run_cython( - targetdir=self.tempdir, - incdir=None, - annotate=False, - extra_compile_options={ - 'gdb_debug':True, - 'output_dir':self.tempdir, - }, - **opts - ) - - cython_compile_testcase.run_distutils( - incdir=None, - workdir=self.tempdir, - extra_extension_args={'extra_objects':['cfuncs.o']}, - **opts - ) - finally: - optimization_disabler.restore_state() - sys.stderr = stderr - new_stderr.close() - - # ext = Cython.Distutils.extension.Extension( - # 'codefile', - # ['codefile.pyx'], - # cython_gdb=True, - # extra_objects=['cfuncs.o']) - # - # distutils.core.setup( - # script_args=['build_ext', '--inplace'], - # ext_modules=[ext], - # cmdclass=dict(build_ext=Cython.Distutils.build_ext) - # ) - - except: - os.chdir(self.cwd) - raise - - def tearDown(self): - if not test_gdb(): - return - os.chdir(self.cwd) - shutil.rmtree(self.tempdir) - - -class GdbDebuggerTestCase(DebuggerTestCase): - - def setUp(self): - if not test_gdb(): - return - - super(GdbDebuggerTestCase, self).setUp() - - prefix_code = textwrap.dedent('''\ - python - - import os - import sys - import traceback - - def excepthook(type, value, tb): - traceback.print_exception(type, value, tb) - sys.stderr.flush() - sys.stdout.flush() - os._exit(1) - - sys.excepthook = excepthook - - # Have tracebacks end up on sys.stderr (gdb replaces sys.stderr - # with an object that calls gdb.write()) - sys.stderr = sys.__stderr__ - - end - ''') - - code = textwrap.dedent('''\ - python - - from Cython.Debugger.Tests import test_libcython_in_gdb - test_libcython_in_gdb.main(version=%r) - - end - ''' % (sys.version_info[:2],)) - - self.gdb_command_file = cygdb.make_command_file(self.tempdir, - prefix_code) - - with open(self.gdb_command_file, 'a') as f: - f.write(code) - - args = ['gdb', '-batch', '-x', self.gdb_command_file, '-n', '--args', - sys.executable, '-c', 'import codefile'] - - paths = [] - path = os.environ.get('PYTHONPATH') - if path: - paths.append(path) - paths.append(os.path.dirname(os.path.dirname( - os.path.abspath(Cython.__file__)))) - env = dict(os.environ, PYTHONPATH=os.pathsep.join(paths)) - - self.p = subprocess.Popen( - args, - stdout=subprocess.PIPE, - stderr=subprocess.PIPE, - env=env) - - def tearDown(self): - if not test_gdb(): - return - - try: - super(GdbDebuggerTestCase, self).tearDown() - if self.p: - try: self.p.stdout.close() - except: pass - try: self.p.stderr.close() - except: pass - self.p.wait() - finally: - os.remove(self.gdb_command_file) - - -class TestAll(GdbDebuggerTestCase): - - def test_all(self): - if not test_gdb(): - return - - out, err = self.p.communicate() - out = out.decode('UTF-8') - err = err.decode('UTF-8') - - exit_status = self.p.returncode - - if exit_status == 1: - sys.stderr.write(out) - sys.stderr.write(err) - elif exit_status >= 2: - border = u'*' * 30 - start = u'%s v INSIDE GDB v %s' % (border, border) - stderr = u'%s v STDERR v %s' % (border, border) - end = u'%s ^ INSIDE GDB ^ %s' % (border, border) - errmsg = u'\n%s\n%s%s\n%s%s' % (start, out, stderr, err, end) - - sys.stderr.write(errmsg) - - # FIXME: re-enable this to make the test fail on internal failures - #self.assertEqual(exit_status, 0) - - -if __name__ == '__main__': - unittest.main() diff --git a/spaces/arxify/RVC-beta-v2-0618/runtime/Lib/site-packages/antlr4/Lexer.py b/spaces/arxify/RVC-beta-v2-0618/runtime/Lib/site-packages/antlr4/Lexer.py deleted file mode 100644 index a60b5bcc93ab380142e3598060a5796361e1ada9..0000000000000000000000000000000000000000 --- a/spaces/arxify/RVC-beta-v2-0618/runtime/Lib/site-packages/antlr4/Lexer.py +++ /dev/null @@ -1,321 +0,0 @@ -# Copyright (c) 2012-2017 The ANTLR Project. All rights reserved. -# Use of this file is governed by the BSD 3-clause license that -# can be found in the LICENSE.txt file in the project root. -#/ - -# A lexer is recognizer that draws input symbols from a character stream. -# lexer grammars result in a subclass of self object. A Lexer object -# uses simplified match() and error recovery mechanisms in the interest -# of speed. -#/ -from io import StringIO -from typing.io import TextIO -import sys -from antlr4.CommonTokenFactory import CommonTokenFactory -from antlr4.atn.LexerATNSimulator import LexerATNSimulator -from antlr4.InputStream import InputStream -from antlr4.Recognizer import Recognizer -from antlr4.Token import Token -from antlr4.error.Errors import IllegalStateException, LexerNoViableAltException, RecognitionException - -class TokenSource(object): - - pass - - -class Lexer(Recognizer, TokenSource): - - DEFAULT_MODE = 0 - MORE = -2 - SKIP = -3 - - DEFAULT_TOKEN_CHANNEL = Token.DEFAULT_CHANNEL - HIDDEN = Token.HIDDEN_CHANNEL - MIN_CHAR_VALUE = 0x0000 - MAX_CHAR_VALUE = 0x10FFFF - - def __init__(self, input:InputStream, output:TextIO = sys.stdout): - super().__init__() - self._input = input - self._output = output - self._factory = CommonTokenFactory.DEFAULT - self._tokenFactorySourcePair = (self, input) - - self._interp = None # child classes must populate this - - # The goal of all lexer rules/methods is to create a token object. - # self is an instance variable as multiple rules may collaborate to - # create a single token. nextToken will return self object after - # matching lexer rule(s). If you subclass to allow multiple token - # emissions, then set self to the last token to be matched or - # something nonnull so that the auto token emit mechanism will not - # emit another token. - self._token = None - - # What character index in the stream did the current token start at? - # Needed, for example, to get the text for current token. Set at - # the start of nextToken. - self._tokenStartCharIndex = -1 - - # The line on which the first character of the token resides#/ - self._tokenStartLine = -1 - - # The character position of first character within the line#/ - self._tokenStartColumn = -1 - - # Once we see EOF on char stream, next token will be EOF. - # If you have DONE : EOF ; then you see DONE EOF. - self._hitEOF = False - - # The channel number for the current token#/ - self._channel = Token.DEFAULT_CHANNEL - - # The token type for the current token#/ - self._type = Token.INVALID_TYPE - - self._modeStack = [] - self._mode = self.DEFAULT_MODE - - # You can set the text for the current token to override what is in - # the input char buffer. Use setText() or can set self instance var. - #/ - self._text = None - - - def reset(self): - # wack Lexer state variables - if self._input is not None: - self._input.seek(0) # rewind the input - self._token = None - self._type = Token.INVALID_TYPE - self._channel = Token.DEFAULT_CHANNEL - self._tokenStartCharIndex = -1 - self._tokenStartColumn = -1 - self._tokenStartLine = -1 - self._text = None - - self._hitEOF = False - self._mode = Lexer.DEFAULT_MODE - self._modeStack = [] - - self._interp.reset() - - # Return a token from self source; i.e., match a token on the char - # stream. - def nextToken(self): - if self._input is None: - raise IllegalStateException("nextToken requires a non-null input stream.") - - # Mark start location in char stream so unbuffered streams are - # guaranteed at least have text of current token - tokenStartMarker = self._input.mark() - try: - while True: - if self._hitEOF: - self.emitEOF() - return self._token - self._token = None - self._channel = Token.DEFAULT_CHANNEL - self._tokenStartCharIndex = self._input.index - self._tokenStartColumn = self._interp.column - self._tokenStartLine = self._interp.line - self._text = None - continueOuter = False - while True: - self._type = Token.INVALID_TYPE - ttype = self.SKIP - try: - ttype = self._interp.match(self._input, self._mode) - except LexerNoViableAltException as e: - self.notifyListeners(e) # report error - self.recover(e) - if self._input.LA(1)==Token.EOF: - self._hitEOF = True - if self._type == Token.INVALID_TYPE: - self._type = ttype - if self._type == self.SKIP: - continueOuter = True - break - if self._type!=self.MORE: - break - if continueOuter: - continue - if self._token is None: - self.emit() - return self._token - finally: - # make sure we release marker after match or - # unbuffered char stream will keep buffering - self._input.release(tokenStartMarker) - - # Instruct the lexer to skip creating a token for current lexer rule - # and look for another token. nextToken() knows to keep looking when - # a lexer rule finishes with token set to SKIP_TOKEN. Recall that - # if token==null at end of any token rule, it creates one for you - # and emits it. - #/ - def skip(self): - self._type = self.SKIP - - def more(self): - self._type = self.MORE - - def mode(self, m:int): - self._mode = m - - def pushMode(self, m:int): - if self._interp.debug: - print("pushMode " + str(m), file=self._output) - self._modeStack.append(self._mode) - self.mode(m) - - def popMode(self): - if len(self._modeStack)==0: - raise Exception("Empty Stack") - if self._interp.debug: - print("popMode back to "+ self._modeStack[:-1], file=self._output) - self.mode( self._modeStack.pop() ) - return self._mode - - # Set the char stream and reset the lexer#/ - @property - def inputStream(self): - return self._input - - @inputStream.setter - def inputStream(self, input:InputStream): - self._input = None - self._tokenFactorySourcePair = (self, self._input) - self.reset() - self._input = input - self._tokenFactorySourcePair = (self, self._input) - - @property - def sourceName(self): - return self._input.sourceName - - # By default does not support multiple emits per nextToken invocation - # for efficiency reasons. Subclass and override self method, nextToken, - # and getToken (to push tokens into a list and pull from that list - # rather than a single variable as self implementation does). - #/ - def emitToken(self, token:Token): - self._token = token - - # The standard method called to automatically emit a token at the - # outermost lexical rule. The token object should point into the - # char buffer start..stop. If there is a text override in 'text', - # use that to set the token's text. Override self method to emit - # custom Token objects or provide a new factory. - #/ - def emit(self): - t = self._factory.create(self._tokenFactorySourcePair, self._type, self._text, self._channel, self._tokenStartCharIndex, - self.getCharIndex()-1, self._tokenStartLine, self._tokenStartColumn) - self.emitToken(t) - return t - - def emitEOF(self): - cpos = self.column - lpos = self.line - eof = self._factory.create(self._tokenFactorySourcePair, Token.EOF, None, Token.DEFAULT_CHANNEL, self._input.index, - self._input.index-1, lpos, cpos) - self.emitToken(eof) - return eof - - @property - def type(self): - return self._type - - @type.setter - def type(self, type:int): - self._type = type - - @property - def line(self): - return self._interp.line - - @line.setter - def line(self, line:int): - self._interp.line = line - - @property - def column(self): - return self._interp.column - - @column.setter - def column(self, column:int): - self._interp.column = column - - # What is the index of the current character of lookahead?#/ - def getCharIndex(self): - return self._input.index - - # Return the text matched so far for the current token or any - # text override. - @property - def text(self): - if self._text is not None: - return self._text - else: - return self._interp.getText(self._input) - - # Set the complete text of self token; it wipes any previous - # changes to the text. - @text.setter - def text(self, txt:str): - self._text = txt - - # Return a list of all Token objects in input char stream. - # Forces load of all tokens. Does not include EOF token. - #/ - def getAllTokens(self): - tokens = [] - t = self.nextToken() - while t.type!=Token.EOF: - tokens.append(t) - t = self.nextToken() - return tokens - - def notifyListeners(self, e:LexerNoViableAltException): - start = self._tokenStartCharIndex - stop = self._input.index - text = self._input.getText(start, stop) - msg = "token recognition error at: '" + self.getErrorDisplay(text) + "'" - listener = self.getErrorListenerDispatch() - listener.syntaxError(self, None, self._tokenStartLine, self._tokenStartColumn, msg, e) - - def getErrorDisplay(self, s:str): - with StringIO() as buf: - for c in s: - buf.write(self.getErrorDisplayForChar(c)) - return buf.getvalue() - - def getErrorDisplayForChar(self, c:str): - if ord(c[0])==Token.EOF: - return "" - elif c=='\n': - return "\\n" - elif c=='\t': - return "\\t" - elif c=='\r': - return "\\r" - else: - return c - - def getCharErrorDisplay(self, c:str): - return "'" + self.getErrorDisplayForChar(c) + "'" - - # Lexers can normally match any char in it's vocabulary after matching - # a token, so do the easy thing and just kill a character and hope - # it all works out. You can instead use the rule invocation stack - # to do sophisticated error recovery if you are in a fragment rule. - #/ - def recover(self, re:RecognitionException): - if self._input.LA(1) != Token.EOF: - if isinstance(re, LexerNoViableAltException): - # skip a char and try again - self._interp.consume(self._input) - else: - # TODO: Do we lose character or line position information? - self._input.consume() - diff --git a/spaces/arxify/RVC-beta-v2-0618/runtime/Lib/site-packages/fairseq/examples/MMPT/mmpt/losses/loss.py b/spaces/arxify/RVC-beta-v2-0618/runtime/Lib/site-packages/fairseq/examples/MMPT/mmpt/losses/loss.py deleted file mode 100644 index 99c05d067edac220f9e53080f09f0b40d7dc1e8d..0000000000000000000000000000000000000000 --- a/spaces/arxify/RVC-beta-v2-0618/runtime/Lib/site-packages/fairseq/examples/MMPT/mmpt/losses/loss.py +++ /dev/null @@ -1,87 +0,0 @@ -# Copyright (c) Facebook, Inc. All Rights Reserved - -import torch - -from torch import nn - - -class Loss(object): - def __call__(self, *args, **kwargs): - raise NotImplementedError - - -# Dummy Loss for testing. -class DummyLoss(Loss): - def __init__(self): - self.loss = nn.CrossEntropyLoss() - - def __call__(self, logits, targets, **kwargs): - return self.loss(logits, targets) - - -class DummyK400Loss(Loss): - """dummy k400 loss for MViT.""" - def __init__(self): - self.loss = nn.CrossEntropyLoss() - - def __call__(self, logits, targets, **kwargs): - return self.loss( - logits, torch.randint(0, 400, (logits.size(0),), device=logits.device)) - - -class CrossEntropy(Loss): - def __init__(self): - self.loss = nn.CrossEntropyLoss() - - def __call__(self, logits, targets, **kwargs): - return self.loss(logits.reshape(-1, logits.size(-1)), targets.reshape(-1)) - - -class ArgmaxCrossEntropy(Loss): - def __init__(self): - self.loss = nn.CrossEntropyLoss() - - def __call__(self, logits, targets, **kwargs): - return self.loss(logits, targets.argmax(dim=1)) - - -class BCE(Loss): - def __init__(self): - self.loss = nn.BCEWithLogitsLoss() - - def __call__(self, logits, targets, **kwargs): - targets = targets.squeeze(0) - return self.loss(logits, targets) - - -class NLGLoss(Loss): - def __init__(self): - self.loss = nn.CrossEntropyLoss() - - def __call__(self, logits, text_label, **kwargs): - targets = text_label[text_label != -100] - return self.loss(logits, targets) - - -class MSE(Loss): - def __init__(self): - self.loss = nn.MSELoss() - - def __call__(self, logits, targets, **kwargs): - return self.loss(logits, targets) - - -class L1(Loss): - def __init__(self): - self.loss = nn.L1Loss() - - def __call__(self, logits, targets, **kwargs): - return self.loss(logits, targets) - - -class SmoothL1(Loss): - def __init__(self): - self.loss = nn.SmoothL1Loss() - - def __call__(self, logits, targets, **kwargs): - return self.loss(logits, targets) diff --git a/spaces/arxnov/anotest/app.py b/spaces/arxnov/anotest/app.py deleted file mode 100644 index c9bfb000af1af5ec0a745290b95431df58ad7a61..0000000000000000000000000000000000000000 --- a/spaces/arxnov/anotest/app.py +++ /dev/null @@ -1,256 +0,0 @@ -import argparse -import json -import os -import re -import tempfile -import logging - -logging.getLogger('numba').setLevel(logging.WARNING) -import librosa -import numpy as np -import torch -from torch import no_grad, LongTensor -import commons -import utils -import gradio as gr -import gradio.utils as gr_utils -import gradio.processing_utils as gr_processing_utils -import ONNXVITS_infer -import models -from text import text_to_sequence, _clean_text -from text.symbols import symbols -from mel_processing import spectrogram_torch -import psutil -from datetime import datetime - -language_marks = { - "Japanese": "", - "日本語": "[JA]", - "简体中文": "[ZH]", - "English": "[EN]", - "Mix": "", -} - -limitation = os.getenv("SYSTEM") == "spaces" # limit text and audio length in huggingface spaces - - -def create_tts_fn(model, hps, speaker_ids): - def tts_fn(text, speaker, language, speed, is_symbol): - if limitation: - text_len = len(re.sub("\[([A-Z]{2})\]", "", text)) - max_len = 150 - if is_symbol: - max_len *= 3 - if text_len > max_len: - return "Error: Text is too long", None - if language is not None: - text = language_marks[language] + text + language_marks[language] - speaker_id = speaker_ids[speaker] - stn_tst = get_text(text, hps, is_symbol) - with no_grad(): - x_tst = stn_tst.unsqueeze(0) - x_tst_lengths = LongTensor([stn_tst.size(0)]) - sid = LongTensor([speaker_id]) - audio = model.infer(x_tst, x_tst_lengths, sid=sid, noise_scale=.667, noise_scale_w=0.8, - length_scale=1.0 / speed)[0][0, 0].data.cpu().float().numpy() - del stn_tst, x_tst, x_tst_lengths, sid - return "Success", (hps.data.sampling_rate, audio) - - return tts_fn - - -def create_vc_fn(model, hps, speaker_ids): - def vc_fn(original_speaker, target_speaker, input_audio): - if input_audio is None: - return "You need to upload an audio", None - sampling_rate, audio = input_audio - duration = audio.shape[0] / sampling_rate - if limitation and duration > 30: - return "Error: Audio is too long", None - original_speaker_id = speaker_ids[original_speaker] - target_speaker_id = speaker_ids[target_speaker] - - audio = (audio / np.iinfo(audio.dtype).max).astype(np.float32) - if len(audio.shape) > 1: - audio = librosa.to_mono(audio.transpose(1, 0)) - if sampling_rate != hps.data.sampling_rate: - audio = librosa.resample(audio, orig_sr=sampling_rate, target_sr=hps.data.sampling_rate) - with no_grad(): - y = torch.FloatTensor(audio) - y = y.unsqueeze(0) - spec = spectrogram_torch(y, hps.data.filter_length, - hps.data.sampling_rate, hps.data.hop_length, hps.data.win_length, - center=False) - spec_lengths = LongTensor([spec.size(-1)]) - sid_src = LongTensor([original_speaker_id]) - sid_tgt = LongTensor([target_speaker_id]) - audio = model.voice_conversion(spec, spec_lengths, sid_src=sid_src, sid_tgt=sid_tgt)[0][ - 0, 0].data.cpu().float().numpy() - del y, spec, spec_lengths, sid_src, sid_tgt - return "Success", (hps.data.sampling_rate, audio) - - return vc_fn - - -def get_text(text, hps, is_symbol): - text_norm = text_to_sequence(text, hps.symbols, [] if is_symbol else hps.data.text_cleaners) - if hps.data.add_blank: - text_norm = commons.intersperse(text_norm, 0) - text_norm = LongTensor(text_norm) - return text_norm - - -def create_to_symbol_fn(hps): - def to_symbol_fn(is_symbol_input, input_text, temp_text): - return (_clean_text(input_text, hps.data.text_cleaners), input_text) if is_symbol_input \ - else (temp_text, temp_text) - - return to_symbol_fn - - -models_tts = [] -models_vc = [] -models_info = [ - { - "title": "Trilingual", - "languages": ['日本語', '简体中文', 'English', 'Mix'], - "description": """ - This model is trained on a mix up of Umamusume, Genshin Impact, Sanoba Witch & VCTK voice data to learn multilanguage. - All characters can speak English, Chinese & Japanese.\n\n - To mix multiple languages in a single sentence, wrap the corresponding part with language tokens - ([JA] for Japanese, [ZH] for Chinese, [EN] for English), as shown in the examples.\n\n - 这个模型在赛马娘,原神,魔女的夜宴以及VCTK数据集上混合训练以学习多种语言。 - 所有角色均可说中日英三语。\n\n - 若需要在同一个句子中混合多种语言,使用相应的语言标记包裹句子。 - (日语用[JA], 中文用[ZH], 英文用[EN]),参考Examples中的示例。 - """, - "model_path": "./pretrained_models/G_trilingual.pth", - "config_path": "./configs/uma_trilingual.json", - "examples": [['你好,训练员先生,很高兴见到你。', '草上飞 Grass Wonder (Umamusume Pretty Derby)', '简体中文', 1, False], - ['To be honest, I have no idea what to say as examples.', '派蒙 Paimon (Genshin Impact)', 'English', - 1, False], - ['授業中に出しだら,学校生活終わるですわ。', '綾地 寧々 Ayachi Nene (Sanoba Witch)', '日本語', 1, False], - ['[JA]こんにちわ。[JA][ZH]你好![ZH][EN]Hello![EN]', '綾地 寧々 Ayachi Nene (Sanoba Witch)', 'Mix', 1, False]], - "onnx_dir": "./ONNX_net/G_trilingual/" - }, - { - "title": "Japanese", - "languages": ["Japanese"], - "description": """ - This model contains 87 characters from Umamusume: Pretty Derby, Japanese only.\n\n - 这个模型包含赛马娘的所有87名角色,只能合成日语。 - """, - "model_path": "./pretrained_models/G_jp.pth", - "config_path": "./configs/uma87.json", - "examples": [['お疲れ様です,トレーナーさん。', '无声铃鹿 Silence Suzuka (Umamusume Pretty Derby)', 'Japanese', 1, False], - ['張り切っていこう!', '北部玄驹 Kitasan Black (Umamusume Pretty Derby)', 'Japanese', 1, False], - ['何でこんなに慣れでんのよ,私のほが先に好きだっだのに。', '草上飞 Grass Wonder (Umamusume Pretty Derby)', 'Japanese', 1, False], - ['授業中に出しだら,学校生活終わるですわ。', '目白麦昆 Mejiro Mcqueen (Umamusume Pretty Derby)', 'Japanese', 1, False], - ['お帰りなさい,お兄様!', '米浴 Rice Shower (Umamusume Pretty Derby)', 'Japanese', 1, False], - ['私の処女をもらっでください!', '米浴 Rice Shower (Umamusume Pretty Derby)', 'Japanese', 1, False]], - "onnx_dir": "./ONNX_net/G_jp/" - }, -] - -if __name__ == "__main__": - parser = argparse.ArgumentParser() - parser.add_argument("--share", action="store_true", default=False, help="share gradio app") - args = parser.parse_args() - for info in models_info: - name = info['title'] - lang = info['languages'] - examples = info['examples'] - config_path = info['config_path'] - model_path = info['model_path'] - description = info['description'] - onnx_dir = info["onnx_dir"] - hps = utils.get_hparams_from_file(config_path) - model = ONNXVITS_infer.SynthesizerTrn( - len(hps.symbols), - hps.data.filter_length // 2 + 1, - hps.train.segment_size // hps.data.hop_length, - n_speakers=hps.data.n_speakers, - ONNX_dir=onnx_dir, - **hps.model) - utils.load_checkpoint(model_path, model, None) - model.eval() - speaker_ids = hps.speakers - speakers = list(hps.speakers.keys()) - models_tts.append((name, description, speakers, lang, examples, - hps.symbols, create_tts_fn(model, hps, speaker_ids), - create_to_symbol_fn(hps))) - models_vc.append((name, description, speakers, create_vc_fn(model, hps, speaker_ids))) - app = gr.Blocks() - with app: - gr.Markdown("# English & Chinese & Japanese Anime TTS\n\n" - "![visitor badge](https://visitor-badge.glitch.me/badge?page_id=Plachta.VITS-Umamusume-voice-synthesizer)\n\n" - "Including Japanese TTS & Trilingual TTS, speakers are all anime characters. \n\n包含一个纯日语TTS和一个中日英三语TTS模型,主要为二次元角色。\n\n" - "If you have any suggestions or bug reports, feel free to open discussion in [Community](https://huggingface.co/spaces/Plachta/VITS-Umamusume-voice-synthesizer/discussions).\n\n" - "若有bug反馈或建议,请在[Community](https://huggingface.co/spaces/Plachta/VITS-Umamusume-voice-synthesizer/discussions)下开启一个新的Discussion。 \n\n" - ) - with gr.Tabs(): - with gr.TabItem("TTS"): - with gr.Tabs(): - for i, (name, description, speakers, lang, example, symbols, tts_fn, to_symbol_fn) in enumerate( - models_tts): - with gr.TabItem(name): - gr.Markdown(description) - with gr.Row(): - with gr.Column(): - textbox = gr.TextArea(label="Text", - placeholder="Type your sentence here (Maximum 150 words)", - value="こんにちわ。", elem_id=f"tts-input") - with gr.Accordion(label="Phoneme Input", open=False): - temp_text_var = gr.Variable() - symbol_input = gr.Checkbox(value=False, label="Symbol input") - symbol_list = gr.Dataset(label="Symbol list", components=[textbox], - samples=[[x] for x in symbols], - elem_id=f"symbol-list") - symbol_list_json = gr.Json(value=symbols, visible=False) - symbol_input.change(to_symbol_fn, - [symbol_input, textbox, temp_text_var], - [textbox, temp_text_var]) - symbol_list.click(None, [symbol_list, symbol_list_json], textbox, - _js=f""" - (i, symbols, text) => {{ - let root = document.querySelector("body > gradio-app"); - if (root.shadowRoot != null) - root = root.shadowRoot; - let text_input = root.querySelector("#tts-input").querySelector("textarea"); - let startPos = text_input.selectionStart; - let endPos = text_input.selectionEnd; - let oldTxt = text_input.value; - let result = oldTxt.substring(0, startPos) + symbols[i] + oldTxt.substring(endPos); - text_input.value = result; - let x = window.scrollX, y = window.scrollY; - text_input.focus(); - text_input.selectionStart = startPos + symbols[i].length; - text_input.selectionEnd = startPos + symbols[i].length; - text_input.blur(); - window.scrollTo(x, y); - - text = text_input.value; - - return text; - }}""") - # select character - char_dropdown = gr.Dropdown(choices=speakers, value=speakers[0], label='character') - language_dropdown = gr.Dropdown(choices=lang, value=lang[0], label='language') - duration_slider = gr.Slider(minimum=0.1, maximum=5, value=1, step=0.1, - label='速度 Speed') - with gr.Column(): - text_output = gr.Textbox(label="Message") - audio_output = gr.Audio(label="Output Audio", elem_id="tts-audio") - btn = gr.Button("Generate!") - btn.click(tts_fn, - inputs=[textbox, char_dropdown, language_dropdown, duration_slider, - symbol_input], - outputs=[text_output, audio_output]) - gr.Examples( - examples=example, - inputs=[textbox, char_dropdown, language_dropdown, - duration_slider, symbol_input], - outputs=[text_output, audio_output], - fn=tts_fn - ) - app.queue(concurrency_count=3).launch(show_api=False, share=args.share) \ No newline at end of file diff --git a/spaces/ashishtanwer/RAD/README.md b/spaces/ashishtanwer/RAD/README.md deleted file mode 100644 index a025a3616ae4f39a6d0b3b2199b5feef4f0037a0..0000000000000000000000000000000000000000 --- a/spaces/ashishtanwer/RAD/README.md +++ /dev/null @@ -1,13 +0,0 @@ ---- -title: Radiance -emoji: 🌍 -colorFrom: purple -colorTo: green -sdk: gradio -sdk_version: 3.21.0 -app_file: app.py -pinned: false -license: bsd-3-clause ---- - -Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference diff --git a/spaces/awacke1/StreamlitPydeckMapVisualViewStateForLatitudeLongitude/README.md b/spaces/awacke1/StreamlitPydeckMapVisualViewStateForLatitudeLongitude/README.md deleted file mode 100644 index 7b254430f2be415b8be2b30045d30aef823674e0..0000000000000000000000000000000000000000 --- a/spaces/awacke1/StreamlitPydeckMapVisualViewStateForLatitudeLongitude/README.md +++ /dev/null @@ -1,80 +0,0 @@ ---- -title: StreamlitPydeckMapVisualViewStateForLatitudeLongitude -emoji: ⚡ -colorFrom: pink -colorTo: gray -sdk: streamlit -sdk_version: 1.17.0 -app_file: app.py -pinned: false -license: mit ---- - -# 🧠Visualization with Plotly Sunbursts, Treemaps, and WebGL 🩺Vis🧠 - -## Naming Convention - -- Plotly Sunbursts -- Plotly Treemaps -- Plotly WebGL -- Streamlit File Upload - -## Ontology - -### Plotly Sunbursts - -Plotly Sunburst is a type of interactive visualization that displays hierarchical data in a circular layout. Each ring represents a level in the hierarchy, and the size of each arc represents the proportion of data within that level. - -1. 🔍 **Data Exploration** - - - 🔧 `plotly.graph_objects.FigureWidget`: create an interactive widget for exploring data - - 📊 `plotly.graph_objects.Histogram`: create a histogram to visualize data distribution - - 📈 `plotly.graph_objects.Scatter`: create a scatter plot to visualize relationships between variables - -2. 📊 **Data Presentation** - - - 🌞 `plotly.graph_objects.Sunburst`: create a sunburst chart to display hierarchical data - - 🌳 `plotly.graph_objects.Treemap`: create a treemap to display hierarchical data - - 🌐 `plotly.graph_objects.Figure`: create a WebGL plot to display large datasets - -3. 🎨 **Customization** - - - 🎨 `plotly.graph_objects.Layout`: customize the layout of the plot - - 🎭 `plotly.graph_objects.Marker`: customize the markers or symbols used in the plot - - 🖼️ `plotly.graph_objects.Image`: add images or logos to the plot - -4. 📁 **File I/O** - - - 📥 `streamlit.file_uploader`: create a file upload widget in Streamlit - - 📊 `pandas.read_csv`: read CSV data into a pandas dataframe - - 🗄️ `plotly.graph_objects.Figure.data`: assign data to the plot from a pandas dataframe - -5. 📈 **Dynamic Plotting** - - - 🔄 `streamlit.cache`: cache expensive computations for faster dynamic plotting - - 🎚️ `streamlit.slider`: create a slider widget to interact with the plot - - 📈 `plotly.subplots`: create a subplot with multiple plots in one figure - -6. 📊 **Interactive Widgets** - - - 📑 `streamlit.selectbox`: create a dropdown menu to select data for the plot - - 🧮 `streamlit.number_input`: create a number input to adjust plot parameters - - 📄 `streamlit.text_area`: create a text area to display plot information - -7. 🔧 **Utilities** - - - 📝 `plotly.subplots.make_subplots`: create a grid of subplots in one figure - - 📊 `plotly.subplots.subplots_adjust`: adjust the spacing between subplots - - 🎞️ `plotly.io.write_html`: save the plot as an HTML file for sharing or embedding - - -The Smart Community concept for Africa is an approach to building sustainable and interconnected communities in Africa using technology and data-driven solutions. To visualize this concept, we can use various Plotly visualization tools, such as Sunbursts, Treemaps, and WebGL. - -Using Plotly Sunbursts, we can display hierarchical data in a circular layout, where each ring represents a level in the hierarchy, and the size of each arc represents the proportion of data within that level. This can be useful for visualizing data on the different levels of the community, such as the different sectors, departments, or organizations involved. - -Using Plotly Treemaps, we can display hierarchical data in a rectangular layout, where each rectangle represents a level in the hierarchy, and the size of each rectangle represents the proportion of data within that level. This can be useful for visualizing data on the different areas or regions within the community. - -Using Plotly WebGL, we can display large datasets in a three-dimensional format that allows for interactive exploration and analysis. This can be useful for visualizing data on the different demographics or socio-economic indicators within the community. - -To facilitate data exploration, we can use interactive widgets such as the Plotly FigureWidget, Histogram, and Scatter plot. To customize the visualization, we can use the Plotly Layout, Marker, and Image options. To enable file input and output, we can use the Streamlit file uploader and pandas read_csv functions. To enable dynamic plotting and interactive widgets, we can use the Streamlit cache, slider, selectbox, number_input, and text_area functions. Finally, to generate multiple plots in one figure, we can use the Plotly subplots function, and to save and share the plots, we can use the Plotly write_html function. - diff --git a/spaces/b3xxf21f/A3Private/app.py b/spaces/b3xxf21f/A3Private/app.py deleted file mode 100644 index b78f0196b70bda28e28067ca0276c471e7e12bd1..0000000000000000000000000000000000000000 --- a/spaces/b3xxf21f/A3Private/app.py +++ /dev/null @@ -1,912 +0,0 @@ -import os -import json - -negative = "(worst quality, low quality:1.4), (bad-image-v2-39000:0.7), (bad_prompt_v2:0.8) (easyNegative:0.6)" -sampler = "Euler a" -steps = 35 -scale = 7.0 -clip_skip = 2 -ENSSD = 0 - -embeddings = [ - "https://huggingface.co/datasets/Nerfgun3/bad_prompt/resolve/main/bad_prompt_version2.pt", - "https://huggingface.co/Xynon/models/resolve/main/experimentals/TI/bad-image-v2-39000.pt", - "https://huggingface.co/datasets/gsdf/EasyNegative/resolve/main/EasyNegative.safetensors" -] - -models = [ - "https://huggingface.co/Linaqruf/anything-v3.0/resolve/main/anything-v3-fp32-pruned.safetensors", - "https://huggingface.co/admruul/anything-v3.0/resolve/main/Anything-V3.0.vae.pt", - #"https://huggingface.co/m4gnett/any-pastel/resolve/main/AnyPastel-nsfw-test-fp16.safetensors", - #"https://huggingface.co/andite/anything-v4.0/resolve/main/anything-v4.0.vae.pt", - #"https://huggingface.co/syaimu/7th_Layer/resolve/main/7th_anime_v3/7th_anime_v3_C.safetensors", - #"https://huggingface.co/DrBob2142/Midnight_Mixes/resolve/main/Midnight%20Mixer%20Melt.safetensors", - # "https://huggingface.co/iZELX1/Grapefruit/resolve/main/lemon.safetensors", - # "https://huggingface.co/iZELX1/Grapefruit/resolve/main/Grapefruit.vae.pt", -] - - -loras = [ - "https://huggingface.co/YoungMasterFromSect/Trauter_LoRAs/resolve/main/LoRA/Genshin-Impact/Yelan/Yelan_Hard.safetensors", -] -os.system("git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui") -os.chdir("stable-diffusion-webui") - -os.chdir("extensions") -os.system('git clone "https://github.com/DominikDoom/a1111-sd-webui-tagcomplete.git"') -os.chdir("../embeddings") -os.system(f"wget {' '.join(embeddings)}") - -os.chdir("../models/Stable-diffusion") -os.system(f"wget {' '.join(models)}") -files = os.listdir() -default_vae = [f for f in files if f.endswith(".vae.pt")] -default_vae = default_vae[0] if default_vae else "None" -default_model = [f for f in files if f.endswith(".safetensors") or f.endswith(".ckpt")][0] -os.chdir("../..") - -os.makedirs("models/Lora") -os.chdir("models/Lora") -os.system(f"wget {' '.join(loras)}") -os.chdir("../..") - -os.system("pip install -U -qq pip") -os.system("pip install -qq -r requirements.txt") -os.system("pip install -qq pytorch_lightning==1.7.7") -os.system("pip install -U -qq fastapi==0.90.1") - -ui_config = { - "txt2img/Prompt/visible": True, - "txt2img/Prompt/value": "", - "txt2img/Negative prompt/visible": True, - "txt2img/Negative prompt/value": negative, - "txt2img/Style 1/visible": True, - "txt2img/Style 1/value": "None", - "txt2img/Style 2/visible": True, - "txt2img/Style 2/value": "None", - "txt2img/Sampling method/visible": True, - "txt2img/Sampling method/value": sampler, - 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"train/Focal point entropy weight/minimum": 0.0, - "train/Focal point entropy weight/maximum": 1.0, - "train/Focal point entropy weight/step": 0.05, - "train/Focal point edges weight/visible": True, - "train/Focal point edges weight/value": 0.5, - "train/Focal point edges weight/minimum": 0.0, - "train/Focal point edges weight/maximum": 1.0, - "train/Focal point edges weight/step": 0.05, - "train/Create debug image/visible": True, - "train/Create debug image/value": False, - "train/Embedding/visible": True, - "train/Embedding/value": None, - "train/Hypernetwork/visible": True, - "train/Hypernetwork/value": None, - "train/Embedding Learning rate/visible": True, - "train/Embedding Learning rate/value": "0.005", - "train/Hypernetwork Learning rate/visible": True, - "train/Hypernetwork Learning rate/value": "0.00001", - "train/Gradient Clipping/visible": True, - "train/Gradient Clipping/value": "disabled", - "train/Batch size/visible": True, - "train/Batch size/value": 1, - "train/Gradient accumulation steps/visible": True, - "train/Gradient accumulation steps/value": 1, - "train/Dataset directory/visible": True, - "train/Dataset directory/value": "", - "train/Log directory/visible": True, - "train/Log directory/value": "textual_inversion", - "train/Prompt template/visible": True, - "train/Prompt template/value": "style_filewords.txt", - "train/Do not resize images/visible": True, - "train/Do not resize images/value": False, - "train/Max steps/visible": True, - "train/Max steps/value": 100000, - "train/Save an image to log directory every N steps, 0 to disable/visible": True, - "train/Save an image to log directory every N steps, 0 to disable/value": 500, - "train/Save a copy of embedding to log directory every N steps, 0 to disable/visible": True, - "train/Save a copy of embedding to log directory every N steps, 0 to disable/value": 500, - "train/Save images with embedding in PNG chunks/visible": True, - "train/Save images with embedding in PNG chunks/value": True, - "train/Read parameters (prompt, etc...) from txt2img tab when making previews/visible": True, - "train/Read parameters (prompt, etc...) from txt2img tab when making previews/value": False, - "train/Shuffle tags by ',' when creating prompts./visible": True, - "train/Shuffle tags by ',' when creating prompts./value": False, - "train/Drop out tags when creating prompts./visible": True, - "train/Drop out tags when creating prompts./value": 0, - "train/Drop out tags when creating prompts./minimum": 0, - "train/Drop out tags when creating prompts./maximum": 1, - "train/Drop out tags when creating prompts./step": 0.1, - "train/Choose latent sampling method/visible": True, - "train/Choose latent sampling method/value": "once", - "txt2img/Sampling Steps/visible": True, - "txt2img/Sampling Steps/value": 20, - "txt2img/Sampling Steps/minimum": 1, - "txt2img/Sampling Steps/maximum": 150, - "txt2img/Sampling Steps/step": 1, - "txt2img/Highres. fix/visible": True, - "txt2img/Highres. fix/value": False, - "txt2img/Firstpass width/visible": True, - "txt2img/Firstpass width/value": 0, - "txt2img/Firstpass width/minimum": 0, - "txt2img/Firstpass width/maximum": 1024, - "txt2img/Firstpass width/step": 8, - "txt2img/Firstpass height/visible": True, - "txt2img/Firstpass height/value": 0, - "txt2img/Firstpass height/minimum": 0, - "txt2img/Firstpass height/maximum": 1024, - "txt2img/Firstpass height/step": 8, - "txt2img/New preset name/visible": True, - "txt2img/New preset name/value": "", - "txt2img/Make Zip when Save?/visible": True, - "txt2img/Make Zip when Save?/value": False, - "img2img/Masking mode/visible": True, - "img2img/Masking mode/value": "Inpaint masked", - "img2img/Inpaint at full resolution/visible": True, - "img2img/Inpaint at full resolution/value": False, - "img2img/Inpaint at full resolution padding, pixels/visible": True, - "img2img/Inpaint at full resolution padding, pixels/value": 32, - "img2img/Inpaint at full resolution padding, pixels/minimum": 0, - "img2img/Inpaint at full resolution padding, pixels/maximum": 256, - "img2img/Inpaint at full resolution padding, pixels/step": 4, - "img2img/Sampling Steps/visible": True, - "img2img/Sampling Steps/value": 20, - "img2img/Sampling Steps/minimum": 1, - "img2img/Sampling Steps/maximum": 150, - "img2img/Sampling Steps/step": 1, - "img2img/New preset name/visible": True, - "img2img/New preset name/value": "", - "img2img/Make Zip when Save?/visible": True, - "img2img/Make Zip when Save?/value": False, - "txt2img/Styles/visible": True, - "txt2img/Styles/value": [], - "txt2img/Override settings/value": None, - "customscript/xyz_grid.py/txt2img/X type/visible": True, - "customscript/xyz_grid.py/txt2img/X type/value": "Seed", - "customscript/xyz_grid.py/txt2img/X values/visible": True, - "customscript/xyz_grid.py/txt2img/X values/value": "", - "customscript/xyz_grid.py/txt2img/Y type/visible": True, - "customscript/xyz_grid.py/txt2img/Y type/value": "Nothing", - "customscript/xyz_grid.py/txt2img/Y values/visible": True, - "customscript/xyz_grid.py/txt2img/Y values/value": "", - "customscript/xyz_grid.py/txt2img/Z type/visible": True, - "customscript/xyz_grid.py/txt2img/Z type/value": "Nothing", - "customscript/xyz_grid.py/txt2img/Z values/visible": True, - "customscript/xyz_grid.py/txt2img/Z values/value": "", - "customscript/xyz_grid.py/txt2img/Draw legend/visible": True, - "customscript/xyz_grid.py/txt2img/Draw legend/value": True, - "customscript/xyz_grid.py/txt2img/Include Sub Images/visible": True, - "customscript/xyz_grid.py/txt2img/Include Sub Images/value": False, - "customscript/xyz_grid.py/txt2img/Include Sub Grids/visible": True, - "customscript/xyz_grid.py/txt2img/Include Sub Grids/value": False, - "customscript/xyz_grid.py/txt2img/Keep -1 for seeds/visible": True, - "customscript/xyz_grid.py/txt2img/Keep -1 for seeds/value": False, - "img2img/Styles/visible": True, - "img2img/Styles/value": [], - "img2img/Inpaint batch mask directory (required for inpaint batch processing only)/visible": True, - "img2img/Inpaint batch mask directory (required for inpaint batch processing only)/value": "", - "img2img/Override settings/value": None, - "customscript/xyz_grid.py/img2img/X type/visible": True, - "customscript/xyz_grid.py/img2img/X type/value": "Seed", - "customscript/xyz_grid.py/img2img/X values/visible": True, - "customscript/xyz_grid.py/img2img/X values/value": "", - "customscript/xyz_grid.py/img2img/Y type/visible": True, - "customscript/xyz_grid.py/img2img/Y type/value": "Nothing", - "customscript/xyz_grid.py/img2img/Y values/visible": True, - "customscript/xyz_grid.py/img2img/Y values/value": "", - "customscript/xyz_grid.py/img2img/Z type/visible": True, - "customscript/xyz_grid.py/img2img/Z type/value": "Nothing", - "customscript/xyz_grid.py/img2img/Z values/visible": True, - "customscript/xyz_grid.py/img2img/Z values/value": "", - "customscript/xyz_grid.py/img2img/Draw legend/visible": True, - "customscript/xyz_grid.py/img2img/Draw legend/value": True, - "customscript/xyz_grid.py/img2img/Include Sub Images/visible": True, - "customscript/xyz_grid.py/img2img/Include Sub Images/value": False, - "customscript/xyz_grid.py/img2img/Include Sub Grids/visible": True, - "customscript/xyz_grid.py/img2img/Include Sub Grids/value": False, - "customscript/xyz_grid.py/img2img/Keep -1 for seeds/visible": True, - "customscript/xyz_grid.py/img2img/Keep -1 for seeds/value": False, - "customscript/postprocessing_upscale.py/extras/Resize/visible": True, - "customscript/postprocessing_upscale.py/extras/Resize/value": 4, - "customscript/postprocessing_upscale.py/extras/Resize/minimum": 1.0, - "customscript/postprocessing_upscale.py/extras/Resize/maximum": 8.0, - "customscript/postprocessing_upscale.py/extras/Resize/step": 0.05, - "customscript/postprocessing_upscale.py/extras/Width/visible": True, - "customscript/postprocessing_upscale.py/extras/Width/value": 512, - "customscript/postprocessing_upscale.py/extras/Height/visible": True, - "customscript/postprocessing_upscale.py/extras/Height/value": 512, - "customscript/postprocessing_upscale.py/extras/Crop to fit/visible": True, - "customscript/postprocessing_upscale.py/extras/Crop to fit/value": True, - "customscript/postprocessing_upscale.py/extras/Upscaler 1/visible": True, - "customscript/postprocessing_upscale.py/extras/Upscaler 1/value": "None", - "customscript/postprocessing_upscale.py/extras/Upscaler 2/visible": True, - "customscript/postprocessing_upscale.py/extras/Upscaler 2/value": "None", - "customscript/postprocessing_upscale.py/extras/Upscaler 2 visibility/visible": True, - "customscript/postprocessing_upscale.py/extras/Upscaler 2 visibility/value": 0.0, - "customscript/postprocessing_upscale.py/extras/Upscaler 2 visibility/minimum": 0.0, - "customscript/postprocessing_upscale.py/extras/Upscaler 2 visibility/maximum": 1.0, - "customscript/postprocessing_upscale.py/extras/Upscaler 2 visibility/step": 0.001, - "customscript/postprocessing_gfpgan.py/extras/GFPGAN visibility/visible": True, - "customscript/postprocessing_gfpgan.py/extras/GFPGAN visibility/value": 0, - "customscript/postprocessing_gfpgan.py/extras/GFPGAN visibility/minimum": 0.0, - "customscript/postprocessing_gfpgan.py/extras/GFPGAN visibility/maximum": 1.0, - "customscript/postprocessing_gfpgan.py/extras/GFPGAN visibility/step": 0.001, - "customscript/postprocessing_codeformer.py/extras/CodeFormer visibility/visible": True, - "customscript/postprocessing_codeformer.py/extras/CodeFormer visibility/value": 0, - "customscript/postprocessing_codeformer.py/extras/CodeFormer visibility/minimum": 0.0, - "customscript/postprocessing_codeformer.py/extras/CodeFormer visibility/maximum": 1.0, - "customscript/postprocessing_codeformer.py/extras/CodeFormer visibility/step": 0.001, - "customscript/postprocessing_codeformer.py/extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/visible": True, - "customscript/postprocessing_codeformer.py/extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/value": 0, - "customscript/postprocessing_codeformer.py/extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/minimum": 0.0, - "customscript/postprocessing_codeformer.py/extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/maximum": 1.0, - "customscript/postprocessing_codeformer.py/extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/step": 0.001, - "modelmerger/Bake in VAE/visible": True, - "modelmerger/Bake in VAE/value": "None", - "modelmerger/Discard weights with matching name/visible": True, - "modelmerger/Discard weights with matching name/value": "", - "train/Auto-sized crop/visible": True, - "train/Auto-sized crop/value": False, - "train/Dimension lower bound/visible": True, - "train/Dimension lower bound/value": 384, - "train/Dimension lower bound/minimum": 64, - "train/Dimension lower bound/maximum": 2048, - "train/Dimension lower bound/step": 8, - "train/Dimension upper bound/visible": True, - "train/Dimension upper bound/value": 768, - "train/Dimension upper bound/minimum": 64, - "train/Dimension upper bound/maximum": 2048, - "train/Dimension upper bound/step": 8, - "train/Area lower bound/visible": True, - "train/Area lower bound/value": 4096, - "train/Area lower bound/minimum": 4096, - "train/Area lower bound/maximum": 4194304, - "train/Area lower bound/step": 1, - "train/Area upper bound/visible": True, - "train/Area upper bound/value": 409600, - "train/Area upper bound/minimum": 4096, - "train/Area upper bound/maximum": 4194304, - "train/Area upper bound/step": 1, - "train/Resizing objective/visible": True, - "train/Resizing objective/value": "Maximize area", - "train/Error threshold/visible": True, - "train/Error threshold/value": 0.1, - "train/Error threshold/minimum": 0, - "train/Error threshold/maximum": 1, - "train/Error threshold/step": 0.01 -} - -config = { - "samples_save": False, - "samples_format": "png", - "samples_filename_pattern": "", - "save_images_add_number": True, - "grid_save": False, - "grid_format": "png", - "grid_extended_filename": False, - "grid_only_if_multiple": True, - "grid_prevent_empty_spots": False, - "n_rows": -1, - "enable_pnginfo": True, - "save_txt": False, - "save_images_before_face_restoration": False, - "save_images_before_highres_fix": False, - "save_images_before_color_correction": False, - "jpeg_quality": 80, - "export_for_4chan": True, - "use_original_name_batch": False, - "use_upscaler_name_as_suffix": False, - "save_selected_only": True, - "do_not_add_watermark": False, - "temp_dir": "", - "clean_temp_dir_at_start": False, - "outdir_samples": "", - "outdir_txt2img_samples": "outputs/txt2img-images", - "outdir_img2img_samples": "outputs/img2img-images", - "outdir_extras_samples": "outputs/extras-images", - "outdir_grids": "", - "outdir_txt2img_grids": "outputs/txt2img-grids", - "outdir_img2img_grids": "outputs/img2img-grids", - "outdir_save": "log/images", - "save_to_dirs": False, - "grid_save_to_dirs": False, - "use_save_to_dirs_for_ui": False, - "directories_filename_pattern": "", - "directories_max_prompt_words": 8, - "ESRGAN_tile": 192, - "ESRGAN_tile_overlap": 8, - "realesrgan_enabled_models": [ - "R-ESRGAN 4x+", - "R-ESRGAN 4x+ Anime6B" - ], - "upscaler_for_img2img": None, - "face_restoration_model": None, - "code_former_weight": 0.5, - "face_restoration_unload": False, - "memmon_poll_rate": 8, - "samples_log_stdout": False, - "multiple_tqdm": True, - "print_hypernet_extra": False, - "unload_models_when_training": False, - "pin_memory": False, - "save_optimizer_state": False, - "save_training_settings_to_txt": True, - "dataset_filename_word_regex": "", - "dataset_filename_join_string": " ", - "training_image_repeats_per_epoch": 1, - "training_write_csv_every": 500, - "training_xattention_optimizations": False, - "training_enable_tensorboard": False, - "training_tensorboard_save_images": False, - "training_tensorboard_flush_every": 120, - "sd_model_checkpoint": default_model, - "sd_checkpoint_cache": 0, - "sd_vae_checkpoint_cache": 0, - "sd_vae": default_vae, - "sd_vae_as_default": True, - "sd_hypernetwork": "None", - "sd_hypernetwork_strength": 1.0, - "inpainting_mask_weight": 1.0, - "initial_noise_multiplier": 1.0, - "img2img_color_correction": False, - "img2img_fix_steps": False, - "img2img_background_color": "#ffffff", - "enable_quantization": False, - "enable_emphasis": True, - "enable_batch_seeds": True, - "comma_padding_backtrack": 20, - "CLIP_stop_at_last_layers": clip_skip, - "random_artist_categories": [], - "use_old_emphasis_implementation": False, - "use_old_karras_scheduler_sigmas": False, - "use_old_hires_fix_width_height": False, - "interrogate_keep_models_in_memory": False, - "interrogate_use_builtin_artists": True, - "interrogate_return_ranks": False, - "interrogate_clip_num_beams": 1, - "interrogate_clip_min_length": 24, - "interrogate_clip_max_length": 48, - "interrogate_clip_dict_limit": 1500, - "interrogate_deepbooru_score_threshold": 0.5, - "deepbooru_sort_alpha": True, - "deepbooru_use_spaces": False, - "deepbooru_escape": True, - "deepbooru_filter_tags": "", - "return_grid": True, - "do_not_show_images": False, - "add_model_hash_to_info": True, - "add_model_name_to_info": True, - "disable_weights_auto_swap": False, - "send_seed": True, - "send_size": True, - "font": "", - "js_modal_lightbox": True, - "js_modal_lightbox_initially_zoomed": True, - "show_progress_in_title": True, - "samplers_in_dropdown": True, - "dimensions_and_batch_together": True, - "quicksettings": "sd_model_checkpoint", - "ui_reorder": "inpaint, sampler, dimensions, cfg, seed, checkboxes, hires_fix, batch, scripts", - "localization": "None", - "show_progressbar": True, - "live_previews_enable": False, - "show_progress_grid": True, - "show_progress_every_n_steps": 10, - "show_progress_type": "Approx NN", - "live_preview_content": "Prompt", - "live_preview_refresh_period": 1000, - "hide_samplers": [], - "eta_ddim": 0.0, - "eta_ancestral": 1.0, - "ddim_discretize": "uniform", - "s_churn": 0.0, - "s_tmin": 0.0, - "s_noise": 1.0, - "eta_noise_seed_delta": ENSSD, - "always_discard_next_to_last_sigma": False, - "disabled_extensions": [], - "sd_checkpoint_hash": "b443ef60bbbaf5dc31974acc4035063716d66bbcc66e96155dbf80aba2106003", - "ldsr_steps": 100, - "ldsr_cached": False, - "SWIN_tile": 192, - "SWIN_tile_overlap": 8, - "images_history_preload": False, - "images_record_paths": True, - "images_delete_message": True, - "images_history_page_columns": 6.0, - "images_history_page_rows": 6.0, - "images_history_pages_perload": 20.0, - "show_warnings": False, - "upcast_attn": False, - "interrogate_clip_skip_categories": [], - "extra_networks_default_view": "cards", - "extra_networks_default_multiplier": 1, - "sd_lora": "None", - "lora_apply_to_outputs": False, - "keyedit_precision_attention": 0.1, - "keyedit_precision_extra": 0.05, - "ui_extra_networks_tab_reorder": "", - "postprocessing_enable_in_main_ui": [], - "postprocessing_operation_order": [], - "upscaling_max_images_in_cache": 5, - "tac_tagFile": "danbooru.csv", - "tac_active": True, - "tac_activeIn.txt2img": True, - "tac_activeIn.img2img": True, - "tac_activeIn.negativePrompts": True, - "tac_activeIn.thirdParty": True, - "tac_maxResults": 5.0, - "tac_showAllResults": False, - "tac_resultStepLength": 100.0, - "tac_delayTime": 100.0, - "tac_useWildcards": True, - "tac_useEmbeddings": True, - "tac_replaceUnderscores": True, - "tac_escapeParentheses": True, - "tac_appendComma": True, - "tac_alias.searchByAlias": True, - "tac_alias.onlyShowAlias": False, - "tac_translation.translationFile": "None", - "tac_translation.oldFormat": False, - "tac_translation.searchByTranslation": True, - "tac_extra.extraFile": "None", - "tac_extra.onlyAliasExtraFile": False, - "tac_activeIn.modelList": "", - "tac_activeIn.modelListMode": "Blacklist", - "tac_useHypernetworks": True, - "tac_useLoras": True, - "tac_showWikiLinks": False -} - -with open("config.json", "w") as f: - json.dump(config, f) - -with open("ui-config.json", "w") as f: - json.dump(ui_config, f) - -os.system("python launch.py --disable-console-progressbars --no-hashing") \ No newline at end of file diff --git a/spaces/banana-projects/web3d/node_modules/three/src/loaders/CompressedTextureLoader.js b/spaces/banana-projects/web3d/node_modules/three/src/loaders/CompressedTextureLoader.js deleted file mode 100644 index 6f298d7bb12f378e59a4f634a7bc307da0253554..0000000000000000000000000000000000000000 --- a/spaces/banana-projects/web3d/node_modules/three/src/loaders/CompressedTextureLoader.js +++ /dev/null @@ -1,141 +0,0 @@ -import { LinearFilter } from '../constants.js'; -import { FileLoader } from './FileLoader.js'; -import { CompressedTexture } from '../textures/CompressedTexture.js'; -import { DefaultLoadingManager } from './LoadingManager.js'; - -/** - * @author mrdoob / http://mrdoob.com/ - * - * Abstract Base class to block based textures loader (dds, pvr, ...) - */ - -function CompressedTextureLoader( manager ) { - - this.manager = ( manager !== undefined ) ? manager : DefaultLoadingManager; - - // override in sub classes - this._parser = null; - -} - -Object.assign( CompressedTextureLoader.prototype, { - - load: function ( url, onLoad, onProgress, onError ) { - - var scope = this; - - var images = []; - - var texture = new CompressedTexture(); - texture.image = images; - - var loader = new FileLoader( this.manager ); - loader.setPath( this.path ); - loader.setResponseType( 'arraybuffer' ); - - function loadTexture( i ) { - - loader.load( url[ i ], function ( buffer ) { - - var texDatas = scope._parser( buffer, true ); - - images[ i ] = { - width: texDatas.width, - height: texDatas.height, - format: texDatas.format, - mipmaps: texDatas.mipmaps - }; - - loaded += 1; - - if ( loaded === 6 ) { - - if ( texDatas.mipmapCount === 1 ) - texture.minFilter = LinearFilter; - - texture.format = texDatas.format; - texture.needsUpdate = true; - - if ( onLoad ) onLoad( texture ); - - } - - }, onProgress, onError ); - - } - - if ( Array.isArray( url ) ) { - - var loaded = 0; - - for ( var i = 0, il = url.length; i < il; ++ i ) { - - loadTexture( i ); - - } - - } else { - - // compressed cubemap texture stored in a single DDS file - - loader.load( url, function ( buffer ) { - - var texDatas = scope._parser( buffer, true ); - - if ( texDatas.isCubemap ) { - - var faces = texDatas.mipmaps.length / texDatas.mipmapCount; - - for ( var f = 0; f < faces; f ++ ) { - - images[ f ] = { mipmaps: [] }; - - for ( var i = 0; i < texDatas.mipmapCount; i ++ ) { - - images[ f ].mipmaps.push( texDatas.mipmaps[ f * texDatas.mipmapCount + i ] ); - images[ f ].format = texDatas.format; - images[ f ].width = texDatas.width; - images[ f ].height = texDatas.height; - - } - - } - - } else { - - texture.image.width = texDatas.width; - texture.image.height = texDatas.height; - texture.mipmaps = texDatas.mipmaps; - - } - - if ( texDatas.mipmapCount === 1 ) { - - texture.minFilter = LinearFilter; - - } - - texture.format = texDatas.format; - texture.needsUpdate = true; - - if ( onLoad ) onLoad( texture ); - - }, onProgress, onError ); - - } - - return texture; - - }, - - setPath: function ( value ) { - - this.path = value; - return this; - - } - -} ); - - -export { CompressedTextureLoader }; diff --git a/spaces/beihai/GFPGAN-V1.3-whole-image/basicsr/losses/loss_util.py b/spaces/beihai/GFPGAN-V1.3-whole-image/basicsr/losses/loss_util.py deleted file mode 100644 index 744eeb46d1f3b5a7b4553ca23237ddd9c899a698..0000000000000000000000000000000000000000 --- a/spaces/beihai/GFPGAN-V1.3-whole-image/basicsr/losses/loss_util.py +++ /dev/null @@ -1,95 +0,0 @@ -import functools -from torch.nn import functional as F - - -def reduce_loss(loss, reduction): - """Reduce loss as specified. - - Args: - loss (Tensor): Elementwise loss tensor. - reduction (str): Options are 'none', 'mean' and 'sum'. - - Returns: - Tensor: Reduced loss tensor. - """ - reduction_enum = F._Reduction.get_enum(reduction) - # none: 0, elementwise_mean:1, sum: 2 - if reduction_enum == 0: - return loss - elif reduction_enum == 1: - return loss.mean() - else: - return loss.sum() - - -def weight_reduce_loss(loss, weight=None, reduction='mean'): - """Apply element-wise weight and reduce loss. - - Args: - loss (Tensor): Element-wise loss. - weight (Tensor): Element-wise weights. Default: None. - reduction (str): Same as built-in losses of PyTorch. Options are - 'none', 'mean' and 'sum'. Default: 'mean'. - - Returns: - Tensor: Loss values. - """ - # if weight is specified, apply element-wise weight - if weight is not None: - assert weight.dim() == loss.dim() - assert weight.size(1) == 1 or weight.size(1) == loss.size(1) - loss = loss * weight - - # if weight is not specified or reduction is sum, just reduce the loss - if weight is None or reduction == 'sum': - loss = reduce_loss(loss, reduction) - # if reduction is mean, then compute mean over weight region - elif reduction == 'mean': - if weight.size(1) > 1: - weight = weight.sum() - else: - weight = weight.sum() * loss.size(1) - loss = loss.sum() / weight - - return loss - - -def weighted_loss(loss_func): - """Create a weighted version of a given loss function. - - To use this decorator, the loss function must have the signature like - `loss_func(pred, target, **kwargs)`. The function only needs to compute - element-wise loss without any reduction. This decorator will add weight - and reduction arguments to the function. The decorated function will have - the signature like `loss_func(pred, target, weight=None, reduction='mean', - **kwargs)`. - - :Example: - - >>> import torch - >>> @weighted_loss - >>> def l1_loss(pred, target): - >>> return (pred - target).abs() - - >>> pred = torch.Tensor([0, 2, 3]) - >>> target = torch.Tensor([1, 1, 1]) - >>> weight = torch.Tensor([1, 0, 1]) - - >>> l1_loss(pred, target) - tensor(1.3333) - >>> l1_loss(pred, target, weight) - tensor(1.5000) - >>> l1_loss(pred, target, reduction='none') - tensor([1., 1., 2.]) - >>> l1_loss(pred, target, weight, reduction='sum') - tensor(3.) - """ - - @functools.wraps(loss_func) - def wrapper(pred, target, weight=None, reduction='mean', **kwargs): - # get element-wise loss - loss = loss_func(pred, target, **kwargs) - loss = weight_reduce_loss(loss, weight, reduction) - return loss - - return wrapper diff --git a/spaces/beihai/GFPGAN-V1.3-whole-image/gfpgan/models/gfpgan_model.py b/spaces/beihai/GFPGAN-V1.3-whole-image/gfpgan/models/gfpgan_model.py deleted file mode 100644 index c3d51b0b80f775c48d8c1701727b871b1f99e02c..0000000000000000000000000000000000000000 --- a/spaces/beihai/GFPGAN-V1.3-whole-image/gfpgan/models/gfpgan_model.py +++ /dev/null @@ -1,580 +0,0 @@ -import math -import os.path as osp -import torch -from basicsr.archs import build_network -from basicsr.losses import build_loss -from basicsr.losses.losses import r1_penalty -from basicsr.metrics import calculate_metric -from basicsr.models.base_model import BaseModel -from basicsr.utils import get_root_logger, imwrite, tensor2img -from basicsr.utils.registry import MODEL_REGISTRY -from collections import OrderedDict -from torch.nn import functional as F -from torchvision.ops import roi_align -from tqdm import tqdm - - -@MODEL_REGISTRY.register() -class GFPGANModel(BaseModel): - """The GFPGAN model for Towards real-world blind face restoratin with generative facial prior""" - - def __init__(self, opt): - super(GFPGANModel, self).__init__(opt) - self.idx = 0 # it is used for saving data for check - - # define network - self.net_g = build_network(opt['network_g']) - self.net_g = self.model_to_device(self.net_g) - self.print_network(self.net_g) - - # load pretrained model - load_path = self.opt['path'].get('pretrain_network_g', None) - if load_path is not None: - param_key = self.opt['path'].get('param_key_g', 'params') - self.load_network(self.net_g, load_path, self.opt['path'].get('strict_load_g', True), param_key) - - self.log_size = int(math.log(self.opt['network_g']['out_size'], 2)) - - if self.is_train: - self.init_training_settings() - - def init_training_settings(self): - train_opt = self.opt['train'] - - # ----------- define net_d ----------- # - self.net_d = build_network(self.opt['network_d']) - self.net_d = self.model_to_device(self.net_d) - self.print_network(self.net_d) - # load pretrained model - load_path = self.opt['path'].get('pretrain_network_d', None) - if load_path is not None: - self.load_network(self.net_d, load_path, self.opt['path'].get('strict_load_d', True)) - - # ----------- define net_g with Exponential Moving Average (EMA) ----------- # - # net_g_ema only used for testing on one GPU and saving. There is no need to wrap with DistributedDataParallel - self.net_g_ema = build_network(self.opt['network_g']).to(self.device) - # load pretrained model - load_path = self.opt['path'].get('pretrain_network_g', None) - if load_path is not None: - self.load_network(self.net_g_ema, load_path, self.opt['path'].get('strict_load_g', True), 'params_ema') - else: - self.model_ema(0) # copy net_g weight - - self.net_g.train() - self.net_d.train() - self.net_g_ema.eval() - - # ----------- facial component networks ----------- # - if ('network_d_left_eye' in self.opt and 'network_d_right_eye' in self.opt and 'network_d_mouth' in self.opt): - self.use_facial_disc = True - else: - self.use_facial_disc = False - - if self.use_facial_disc: - # left eye - self.net_d_left_eye = build_network(self.opt['network_d_left_eye']) - self.net_d_left_eye = self.model_to_device(self.net_d_left_eye) - self.print_network(self.net_d_left_eye) - load_path = self.opt['path'].get('pretrain_network_d_left_eye') - if load_path is not None: - self.load_network(self.net_d_left_eye, load_path, True, 'params') - # right eye - self.net_d_right_eye = build_network(self.opt['network_d_right_eye']) - self.net_d_right_eye = self.model_to_device(self.net_d_right_eye) - self.print_network(self.net_d_right_eye) - load_path = self.opt['path'].get('pretrain_network_d_right_eye') - if load_path is not None: - self.load_network(self.net_d_right_eye, load_path, True, 'params') - # mouth - self.net_d_mouth = build_network(self.opt['network_d_mouth']) - self.net_d_mouth = self.model_to_device(self.net_d_mouth) - self.print_network(self.net_d_mouth) - load_path = self.opt['path'].get('pretrain_network_d_mouth') - if load_path is not None: - self.load_network(self.net_d_mouth, load_path, True, 'params') - - self.net_d_left_eye.train() - self.net_d_right_eye.train() - self.net_d_mouth.train() - - # ----------- define facial component gan loss ----------- # - self.cri_component = build_loss(train_opt['gan_component_opt']).to(self.device) - - # ----------- define losses ----------- # - # pixel loss - if train_opt.get('pixel_opt'): - self.cri_pix = build_loss(train_opt['pixel_opt']).to(self.device) - else: - self.cri_pix = None - - # perceptual loss - if train_opt.get('perceptual_opt'): - self.cri_perceptual = build_loss(train_opt['perceptual_opt']).to(self.device) - else: - self.cri_perceptual = None - - # L1 loss is used in pyramid loss, component style loss and identity loss - self.cri_l1 = build_loss(train_opt['L1_opt']).to(self.device) - - # gan loss (wgan) - self.cri_gan = build_loss(train_opt['gan_opt']).to(self.device) - - # ----------- define identity loss ----------- # - if 'network_identity' in self.opt: - self.use_identity = True - else: - self.use_identity = False - - if self.use_identity: - # define identity network - self.network_identity = build_network(self.opt['network_identity']) - self.network_identity = self.model_to_device(self.network_identity) - self.print_network(self.network_identity) - load_path = self.opt['path'].get('pretrain_network_identity') - if load_path is not None: - self.load_network(self.network_identity, load_path, True, None) - self.network_identity.eval() - for param in self.network_identity.parameters(): - param.requires_grad = False - - # regularization weights - self.r1_reg_weight = train_opt['r1_reg_weight'] # for discriminator - self.net_d_iters = train_opt.get('net_d_iters', 1) - self.net_d_init_iters = train_opt.get('net_d_init_iters', 0) - self.net_d_reg_every = train_opt['net_d_reg_every'] - - # set up optimizers and schedulers - self.setup_optimizers() - self.setup_schedulers() - - def setup_optimizers(self): - train_opt = self.opt['train'] - - # ----------- optimizer g ----------- # - net_g_reg_ratio = 1 - normal_params = [] - for _, param in self.net_g.named_parameters(): - normal_params.append(param) - optim_params_g = [{ # add normal params first - 'params': normal_params, - 'lr': train_opt['optim_g']['lr'] - }] - optim_type = train_opt['optim_g'].pop('type') - lr = train_opt['optim_g']['lr'] * net_g_reg_ratio - betas = (0**net_g_reg_ratio, 0.99**net_g_reg_ratio) - self.optimizer_g = self.get_optimizer(optim_type, optim_params_g, lr, betas=betas) - self.optimizers.append(self.optimizer_g) - - # ----------- optimizer d ----------- # - net_d_reg_ratio = self.net_d_reg_every / (self.net_d_reg_every + 1) - normal_params = [] - for _, param in self.net_d.named_parameters(): - normal_params.append(param) - optim_params_d = [{ # add normal params first - 'params': normal_params, - 'lr': train_opt['optim_d']['lr'] - }] - optim_type = train_opt['optim_d'].pop('type') - lr = train_opt['optim_d']['lr'] * net_d_reg_ratio - betas = (0**net_d_reg_ratio, 0.99**net_d_reg_ratio) - self.optimizer_d = self.get_optimizer(optim_type, optim_params_d, lr, betas=betas) - self.optimizers.append(self.optimizer_d) - - # ----------- optimizers for facial component networks ----------- # - if self.use_facial_disc: - # setup optimizers for facial component discriminators - optim_type = train_opt['optim_component'].pop('type') - lr = train_opt['optim_component']['lr'] - # left eye - self.optimizer_d_left_eye = self.get_optimizer( - optim_type, self.net_d_left_eye.parameters(), lr, betas=(0.9, 0.99)) - self.optimizers.append(self.optimizer_d_left_eye) - # right eye - self.optimizer_d_right_eye = self.get_optimizer( - optim_type, self.net_d_right_eye.parameters(), lr, betas=(0.9, 0.99)) - self.optimizers.append(self.optimizer_d_right_eye) - # mouth - self.optimizer_d_mouth = self.get_optimizer( - optim_type, self.net_d_mouth.parameters(), lr, betas=(0.9, 0.99)) - self.optimizers.append(self.optimizer_d_mouth) - - def feed_data(self, data): - self.lq = data['lq'].to(self.device) - if 'gt' in data: - self.gt = data['gt'].to(self.device) - - if 'loc_left_eye' in data: - # get facial component locations, shape (batch, 4) - self.loc_left_eyes = data['loc_left_eye'] - self.loc_right_eyes = data['loc_right_eye'] - self.loc_mouths = data['loc_mouth'] - - # uncomment to check data - # import torchvision - # if self.opt['rank'] == 0: - # import os - # os.makedirs('tmp/gt', exist_ok=True) - # os.makedirs('tmp/lq', exist_ok=True) - # print(self.idx) - # torchvision.utils.save_image( - # self.gt, f'tmp/gt/gt_{self.idx}.png', nrow=4, padding=2, normalize=True, range=(-1, 1)) - # torchvision.utils.save_image( - # self.lq, f'tmp/lq/lq{self.idx}.png', nrow=4, padding=2, normalize=True, range=(-1, 1)) - # self.idx = self.idx + 1 - - def construct_img_pyramid(self): - """Construct image pyramid for intermediate restoration loss""" - pyramid_gt = [self.gt] - down_img = self.gt - for _ in range(0, self.log_size - 3): - down_img = F.interpolate(down_img, scale_factor=0.5, mode='bilinear', align_corners=False) - pyramid_gt.insert(0, down_img) - return pyramid_gt - - def get_roi_regions(self, eye_out_size=80, mouth_out_size=120): - face_ratio = int(self.opt['network_g']['out_size'] / 512) - eye_out_size *= face_ratio - mouth_out_size *= face_ratio - - rois_eyes = [] - rois_mouths = [] - for b in range(self.loc_left_eyes.size(0)): # loop for batch size - # left eye and right eye - img_inds = self.loc_left_eyes.new_full((2, 1), b) - bbox = torch.stack([self.loc_left_eyes[b, :], self.loc_right_eyes[b, :]], dim=0) # shape: (2, 4) - rois = torch.cat([img_inds, bbox], dim=-1) # shape: (2, 5) - rois_eyes.append(rois) - # mouse - img_inds = self.loc_left_eyes.new_full((1, 1), b) - rois = torch.cat([img_inds, self.loc_mouths[b:b + 1, :]], dim=-1) # shape: (1, 5) - rois_mouths.append(rois) - - rois_eyes = torch.cat(rois_eyes, 0).to(self.device) - rois_mouths = torch.cat(rois_mouths, 0).to(self.device) - - # real images - all_eyes = roi_align(self.gt, boxes=rois_eyes, output_size=eye_out_size) * face_ratio - self.left_eyes_gt = all_eyes[0::2, :, :, :] - self.right_eyes_gt = all_eyes[1::2, :, :, :] - self.mouths_gt = roi_align(self.gt, boxes=rois_mouths, output_size=mouth_out_size) * face_ratio - # output - all_eyes = roi_align(self.output, boxes=rois_eyes, output_size=eye_out_size) * face_ratio - self.left_eyes = all_eyes[0::2, :, :, :] - self.right_eyes = all_eyes[1::2, :, :, :] - self.mouths = roi_align(self.output, boxes=rois_mouths, output_size=mouth_out_size) * face_ratio - - def _gram_mat(self, x): - """Calculate Gram matrix. - - Args: - x (torch.Tensor): Tensor with shape of (n, c, h, w). - - Returns: - torch.Tensor: Gram matrix. - """ - n, c, h, w = x.size() - features = x.view(n, c, w * h) - features_t = features.transpose(1, 2) - gram = features.bmm(features_t) / (c * h * w) - return gram - - def gray_resize_for_identity(self, out, size=128): - out_gray = (0.2989 * out[:, 0, :, :] + 0.5870 * out[:, 1, :, :] + 0.1140 * out[:, 2, :, :]) - out_gray = out_gray.unsqueeze(1) - out_gray = F.interpolate(out_gray, (size, size), mode='bilinear', align_corners=False) - return out_gray - - def optimize_parameters(self, current_iter): - # optimize net_g - for p in self.net_d.parameters(): - p.requires_grad = False - self.optimizer_g.zero_grad() - - # do not update facial component net_d - if self.use_facial_disc: - for p in self.net_d_left_eye.parameters(): - p.requires_grad = False - for p in self.net_d_right_eye.parameters(): - p.requires_grad = False - for p in self.net_d_mouth.parameters(): - p.requires_grad = False - - # image pyramid loss weight - if current_iter < self.opt['train'].get('remove_pyramid_loss', float('inf')): - pyramid_loss_weight = self.opt['train'].get('pyramid_loss_weight', 1) - else: - pyramid_loss_weight = 1e-12 # very small loss - if pyramid_loss_weight > 0: - self.output, out_rgbs = self.net_g(self.lq, return_rgb=True) - pyramid_gt = self.construct_img_pyramid() - else: - self.output, out_rgbs = self.net_g(self.lq, return_rgb=False) - - # get roi-align regions - if self.use_facial_disc: - self.get_roi_regions(eye_out_size=80, mouth_out_size=120) - - l_g_total = 0 - loss_dict = OrderedDict() - if (current_iter % self.net_d_iters == 0 and current_iter > self.net_d_init_iters): - # pixel loss - if self.cri_pix: - l_g_pix = self.cri_pix(self.output, self.gt) - l_g_total += l_g_pix - loss_dict['l_g_pix'] = l_g_pix - - # image pyramid loss - if pyramid_loss_weight > 0: - for i in range(0, self.log_size - 2): - l_pyramid = self.cri_l1(out_rgbs[i], pyramid_gt[i]) * pyramid_loss_weight - l_g_total += l_pyramid - loss_dict[f'l_p_{2**(i+3)}'] = l_pyramid - - # perceptual loss - if self.cri_perceptual: - l_g_percep, l_g_style = self.cri_perceptual(self.output, self.gt) - if l_g_percep is not None: - l_g_total += l_g_percep - loss_dict['l_g_percep'] = l_g_percep - if l_g_style is not None: - l_g_total += l_g_style - loss_dict['l_g_style'] = l_g_style - - # gan loss - fake_g_pred = self.net_d(self.output) - l_g_gan = self.cri_gan(fake_g_pred, True, is_disc=False) - l_g_total += l_g_gan - loss_dict['l_g_gan'] = l_g_gan - - # facial component loss - if self.use_facial_disc: - # left eye - fake_left_eye, fake_left_eye_feats = self.net_d_left_eye(self.left_eyes, return_feats=True) - l_g_gan = self.cri_component(fake_left_eye, True, is_disc=False) - l_g_total += l_g_gan - loss_dict['l_g_gan_left_eye'] = l_g_gan - # right eye - fake_right_eye, fake_right_eye_feats = self.net_d_right_eye(self.right_eyes, return_feats=True) - l_g_gan = self.cri_component(fake_right_eye, True, is_disc=False) - l_g_total += l_g_gan - loss_dict['l_g_gan_right_eye'] = l_g_gan - # mouth - fake_mouth, fake_mouth_feats = self.net_d_mouth(self.mouths, return_feats=True) - l_g_gan = self.cri_component(fake_mouth, True, is_disc=False) - l_g_total += l_g_gan - loss_dict['l_g_gan_mouth'] = l_g_gan - - if self.opt['train'].get('comp_style_weight', 0) > 0: - # get gt feat - _, real_left_eye_feats = self.net_d_left_eye(self.left_eyes_gt, return_feats=True) - _, real_right_eye_feats = self.net_d_right_eye(self.right_eyes_gt, return_feats=True) - _, real_mouth_feats = self.net_d_mouth(self.mouths_gt, return_feats=True) - - def _comp_style(feat, feat_gt, criterion): - return criterion(self._gram_mat(feat[0]), self._gram_mat( - feat_gt[0].detach())) * 0.5 + criterion( - self._gram_mat(feat[1]), self._gram_mat(feat_gt[1].detach())) - - # facial component style loss - comp_style_loss = 0 - comp_style_loss += _comp_style(fake_left_eye_feats, real_left_eye_feats, self.cri_l1) - comp_style_loss += _comp_style(fake_right_eye_feats, real_right_eye_feats, self.cri_l1) - comp_style_loss += _comp_style(fake_mouth_feats, real_mouth_feats, self.cri_l1) - comp_style_loss = comp_style_loss * self.opt['train']['comp_style_weight'] - l_g_total += comp_style_loss - loss_dict['l_g_comp_style_loss'] = comp_style_loss - - # identity loss - if self.use_identity: - identity_weight = self.opt['train']['identity_weight'] - # get gray images and resize - out_gray = self.gray_resize_for_identity(self.output) - gt_gray = self.gray_resize_for_identity(self.gt) - - identity_gt = self.network_identity(gt_gray).detach() - identity_out = self.network_identity(out_gray) - l_identity = self.cri_l1(identity_out, identity_gt) * identity_weight - l_g_total += l_identity - loss_dict['l_identity'] = l_identity - - l_g_total.backward() - self.optimizer_g.step() - - # EMA - self.model_ema(decay=0.5**(32 / (10 * 1000))) - - # ----------- optimize net_d ----------- # - for p in self.net_d.parameters(): - p.requires_grad = True - self.optimizer_d.zero_grad() - if self.use_facial_disc: - for p in self.net_d_left_eye.parameters(): - p.requires_grad = True - for p in self.net_d_right_eye.parameters(): - p.requires_grad = True - for p in self.net_d_mouth.parameters(): - p.requires_grad = True - self.optimizer_d_left_eye.zero_grad() - self.optimizer_d_right_eye.zero_grad() - self.optimizer_d_mouth.zero_grad() - - fake_d_pred = self.net_d(self.output.detach()) - real_d_pred = self.net_d(self.gt) - l_d = self.cri_gan(real_d_pred, True, is_disc=True) + self.cri_gan(fake_d_pred, False, is_disc=True) - loss_dict['l_d'] = l_d - # In WGAN, real_score should be positive and fake_score should be negative - loss_dict['real_score'] = real_d_pred.detach().mean() - loss_dict['fake_score'] = fake_d_pred.detach().mean() - l_d.backward() - - # regularization loss - if current_iter % self.net_d_reg_every == 0: - self.gt.requires_grad = True - real_pred = self.net_d(self.gt) - l_d_r1 = r1_penalty(real_pred, self.gt) - l_d_r1 = (self.r1_reg_weight / 2 * l_d_r1 * self.net_d_reg_every + 0 * real_pred[0]) - loss_dict['l_d_r1'] = l_d_r1.detach().mean() - l_d_r1.backward() - - self.optimizer_d.step() - - # optimize facial component discriminators - if self.use_facial_disc: - # left eye - fake_d_pred, _ = self.net_d_left_eye(self.left_eyes.detach()) - real_d_pred, _ = self.net_d_left_eye(self.left_eyes_gt) - l_d_left_eye = self.cri_component( - real_d_pred, True, is_disc=True) + self.cri_gan( - fake_d_pred, False, is_disc=True) - loss_dict['l_d_left_eye'] = l_d_left_eye - l_d_left_eye.backward() - # right eye - fake_d_pred, _ = self.net_d_right_eye(self.right_eyes.detach()) - real_d_pred, _ = self.net_d_right_eye(self.right_eyes_gt) - l_d_right_eye = self.cri_component( - real_d_pred, True, is_disc=True) + self.cri_gan( - fake_d_pred, False, is_disc=True) - loss_dict['l_d_right_eye'] = l_d_right_eye - l_d_right_eye.backward() - # mouth - fake_d_pred, _ = self.net_d_mouth(self.mouths.detach()) - real_d_pred, _ = self.net_d_mouth(self.mouths_gt) - l_d_mouth = self.cri_component( - real_d_pred, True, is_disc=True) + self.cri_gan( - fake_d_pred, False, is_disc=True) - loss_dict['l_d_mouth'] = l_d_mouth - l_d_mouth.backward() - - self.optimizer_d_left_eye.step() - self.optimizer_d_right_eye.step() - self.optimizer_d_mouth.step() - - self.log_dict = self.reduce_loss_dict(loss_dict) - - def test(self): - with torch.no_grad(): - if hasattr(self, 'net_g_ema'): - self.net_g_ema.eval() - self.output, _ = self.net_g_ema(self.lq) - else: - logger = get_root_logger() - logger.warning('Do not have self.net_g_ema, use self.net_g.') - self.net_g.eval() - self.output, _ = self.net_g(self.lq) - self.net_g.train() - - def dist_validation(self, dataloader, current_iter, tb_logger, save_img): - if self.opt['rank'] == 0: - self.nondist_validation(dataloader, current_iter, tb_logger, save_img) - - def nondist_validation(self, dataloader, current_iter, tb_logger, save_img): - dataset_name = dataloader.dataset.opt['name'] - with_metrics = self.opt['val'].get('metrics') is not None - use_pbar = self.opt['val'].get('pbar', False) - - if with_metrics: - if not hasattr(self, 'metric_results'): # only execute in the first run - self.metric_results = {metric: 0 for metric in self.opt['val']['metrics'].keys()} - # initialize the best metric results for each dataset_name (supporting multiple validation datasets) - self._initialize_best_metric_results(dataset_name) - # zero self.metric_results - self.metric_results = {metric: 0 for metric in self.metric_results} - - metric_data = dict() - if use_pbar: - pbar = tqdm(total=len(dataloader), unit='image') - - for idx, val_data in enumerate(dataloader): - img_name = osp.splitext(osp.basename(val_data['lq_path'][0]))[0] - self.feed_data(val_data) - self.test() - - sr_img = tensor2img(self.output.detach().cpu(), min_max=(-1, 1)) - metric_data['img'] = sr_img - if hasattr(self, 'gt'): - gt_img = tensor2img(self.gt.detach().cpu(), min_max=(-1, 1)) - metric_data['img2'] = gt_img - del self.gt - - # tentative for out of GPU memory - del self.lq - del self.output - torch.cuda.empty_cache() - - if save_img: - if self.opt['is_train']: - save_img_path = osp.join(self.opt['path']['visualization'], img_name, - f'{img_name}_{current_iter}.png') - else: - if self.opt['val']['suffix']: - save_img_path = osp.join(self.opt['path']['visualization'], dataset_name, - f'{img_name}_{self.opt["val"]["suffix"]}.png') - else: - save_img_path = osp.join(self.opt['path']['visualization'], dataset_name, - f'{img_name}_{self.opt["name"]}.png') - imwrite(sr_img, save_img_path) - - if with_metrics: - # calculate metrics - for name, opt_ in self.opt['val']['metrics'].items(): - self.metric_results[name] += calculate_metric(metric_data, opt_) - if use_pbar: - pbar.update(1) - pbar.set_description(f'Test {img_name}') - if use_pbar: - pbar.close() - - if with_metrics: - for metric in self.metric_results.keys(): - self.metric_results[metric] /= (idx + 1) - # update the best metric result - self._update_best_metric_result(dataset_name, metric, self.metric_results[metric], current_iter) - - self._log_validation_metric_values(current_iter, dataset_name, tb_logger) - - def _log_validation_metric_values(self, current_iter, dataset_name, tb_logger): - log_str = f'Validation {dataset_name}\n' - for metric, value in self.metric_results.items(): - log_str += f'\t # {metric}: {value:.4f}' - if hasattr(self, 'best_metric_results'): - log_str += (f'\tBest: {self.best_metric_results[dataset_name][metric]["val"]:.4f} @ ' - f'{self.best_metric_results[dataset_name][metric]["iter"]} iter') - log_str += '\n' - - logger = get_root_logger() - logger.info(log_str) - if tb_logger: - for metric, value in self.metric_results.items(): - tb_logger.add_scalar(f'metrics/{dataset_name}/{metric}', value, current_iter) - - def save(self, epoch, current_iter): - # save net_g and net_d - self.save_network([self.net_g, self.net_g_ema], 'net_g', current_iter, param_key=['params', 'params_ema']) - self.save_network(self.net_d, 'net_d', current_iter) - # save component discriminators - if self.use_facial_disc: - self.save_network(self.net_d_left_eye, 'net_d_left_eye', current_iter) - self.save_network(self.net_d_right_eye, 'net_d_right_eye', current_iter) - self.save_network(self.net_d_mouth, 'net_d_mouth', current_iter) - # save training state - self.save_training_state(epoch, current_iter) diff --git a/spaces/bigscience-data/document-sizes/app.py b/spaces/bigscience-data/document-sizes/app.py deleted file mode 100644 index 66ef1fa6301a228484ae1dabe0587062092766ac..0000000000000000000000000000000000000000 --- a/spaces/bigscience-data/document-sizes/app.py +++ /dev/null @@ -1,33 +0,0 @@ -from turtle import width -import streamlit as st -from pathlib import Path -from PIL import Image - -from variables import MAPPING_LANG_CODE_TO_TEXT, PLOT_SIZES_PER_LANG - -# Only need to set these here as we are add controls outside of Hydralit, to customise a run Hydralit! -st.set_page_config(page_title="Documents sizes", layout="wide") - -plot_dir = Path("data/boxplot_per_ds_per_lang") -plot_paths = list(plot_dir.iterdir()) - -plot_paths = sorted(plot_paths) - -with st.sidebar: - st.write("Go to plot") - for plot_path in plot_paths: - plot_name = str(plot_path.name) - if plot_name == "colorbar.png": - continue - lang_id = plot_name.split("_")[1][:-len(".png")] - title = MAPPING_LANG_CODE_TO_TEXT[lang_id] - st.markdown(f"[{title}](#{title.replace(' ', '-').lower()})", unsafe_allow_html=True) - -for plot_path in plot_paths: - plot_name = str(plot_path.name) - if plot_name == "colorbar.png": - continue - lang_id = plot_name.split("_")[1][:-len(".png")] - st.title(MAPPING_LANG_CODE_TO_TEXT[lang_id]) - image = Image.open(plot_path) - st.image(image, width=int(round(float(PLOT_SIZES_PER_LANG[lang_id]['width'])*50))) \ No newline at end of file diff --git a/spaces/bioriAsaeru/text-to-voice/Charlie The Duck __TOP__ Crack Download Skidrow.md b/spaces/bioriAsaeru/text-to-voice/Charlie The Duck __TOP__ Crack Download Skidrow.md deleted file mode 100644 index 81d31902117eb24f263a4a731a7a2adeb7a55340..0000000000000000000000000000000000000000 --- a/spaces/bioriAsaeru/text-to-voice/Charlie The Duck __TOP__ Crack Download Skidrow.md +++ /dev/null @@ -1,115 +0,0 @@ -
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If you are looking for a multiplayer horror game that will keep you on the edge of your seat, you might want to check out Charlie The Duck Crack Download Skidrow. This is a cracked version of the game Charlie | The Legend, which was released on October 1, 2021 by Fireblitz Games. In this game, you can either play as Charlie, a diabolical doll possessed by a demon, or as one of the four survivors who have to escape from him.

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What is Charlie The Duck Crack Download Skidrow?

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Charlie The Duck Crack Download Skidrow is a free download of the game Charlie | The Legend that bypasses the DRM protection and allows you to play it without purchasing it from Steam. This means that you can enjoy the full features of the game without spending any money. However, this also means that you are violating the copyright laws and risking legal consequences. Therefore, we do not recommend or endorse downloading or using Charlie The Duck Crack Download Skidrow.

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If you still want to try Charlie The Duck Crack Download Skidrow, you will need to follow these steps:

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  3. Click on the download link and wait for the file to be downloaded.
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  5. Extract the file using WinRAR or 7-Zip.
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  7. Run the setup.exe file and follow the instructions.
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What are the Features of Charlie The Duck Crack Download Skidrow?

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Charlie The Duck Crack Download Skidrow offers you the same features as the original game, such as:

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  • A choice between playing as Charlie or as a survivor.
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  • A variety of maps, weapons, items, and objectives to complete.
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  • A dynamic gameplay that changes according to your actions and decisions.
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  • A thrilling atmosphere and sound effects that will make you feel immersed in the game.
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As with any cracked game, Charlie The Duck Crack Download Skidrow has its advantages and disadvantages. Here are some of them:

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ProsCons
You can play the game for free.You are breaking the law and risking legal action.
You can access all the features of the game.You may encounter bugs, errors, or viruses.
You can play offline without internet connection.You may not be able to play online with other players or receive updates.
You can test the game before buying it.You are not supporting the developers who worked hard to create the game.
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Conclusion

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Charlie The Duck Crack Download Skidrow is a cracked version of the game Charlie | The Legend that allows you to play it for free. However, this also means that you are violating the copyright laws and risking legal consequences. Therefore, we do not recommend or endorse downloading or using Charlie The Duck Crack Download Skidrow. If you like the game, you should buy it from Steam and support the developers who made it. This way, you can enjoy the game legally and safely.

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What is Charlie | The Legend?

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Charlie | The Legend is the original game that Charlie The Duck Crack Download Skidrow is based on. It is a multiplayer asymmetrical horror video game developed and published by Fireblitz Games. It was released on October 1, 2021 on Steam for Windows PC. The game has received positive reviews from critics and players who praised its concept, its graphics, its sound effects, and its gameplay.

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The game is inspired by the urban legend of Charlie Charlie, a supernatural game where people try to contact a spirit named Charlie using a pencil and a paper. In the game, Charlie is a diabolical doll possessed by a demon who can shape-shift and use dark powers. The game has two modes: online and offline. In online mode, one player controls Charlie and four players control survivors who have to escape from him or defeat him. In offline mode, one player controls Charlie and the other players are controlled by AI.

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Charlie The Duck Crack Download Skidrow and Charlie | The Legend are essentially the same game, but there are some differences between them. Here are some of them:

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Why Should You Buy Charlie | The Legend Instead of Downloading Charlie The Duck Crack Download Skidrow?

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If you are interested in playing Charlie | The Legend, you should buy it from Steam instead of downloading Charlie The Duck Crack Download Skidrow. Here are some reasons why:

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  • You will join a community of players who share your passion for the game and who can help you with tips, tricks, or feedback.
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Downloading Charlie The Duck Crack Download Skidrow may seem like a good idea if you want to play the game for free, but it also comes with many risks that you should be aware of. Here are some of them:

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How to Buy Charlie | The Legend from Steam?

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If you want to play Charlie | The Legend legally and safely, you should buy it from Steam instead of downloading Charlie The Duck Crack Download Skidrow. Here are the steps to do so:

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  5. Launch the Steam client and log in with your account.
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  7. Search for Charlie | The Legend on the Steam store or visit https://store.steampowered.com/app/1312150/Charlie__The_Legend/.
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  9. Click on "Add to Cart" and then on "Purchase for myself" or "Purchase as a gift".
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  11. Select your payment method and enter your details.
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  13. Confirm your purchase and wait for the game to download and install.
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  15. Enjoy playing Charlie | The Legend.
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Buying Charlie | The Legend from Steam instead of downloading Charlie The Duck Crack Download Skidrow has many benefits that you should consider. Here are some of them:

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  • You will join a community of players who share your passion for the game and who can help you with tips, tricks, or feedback.
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What are the Tips and Tricks for Playing Charlie | The Legend?

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Playing Charlie | The Legend can be challenging and fun, but also frustrating and scary. Whether you play as Charlie or as a survivor, you will need some tips and tricks to improve your skills and enjoy the game. Here are some of them:

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  • As Charlie, you can shape-shift into different forms, such as a doll, a human, or a monster. Each form has its own abilities and weaknesses. For example, the doll form can hide easily and use telekinesis, but it is slow and weak. The human form can blend in with the survivors and use weapons, but it is vulnerable to attacks. The monster form can run fast and deal damage, but it is loud and visible.
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  • As Charlie, you can also use dark powers, such as creating portals, summoning scavengers, or setting traps. These powers can help you catch or distract the survivors, but they also consume your energy. You will need to balance your energy consumption and regeneration to avoid running out of power.
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  • As Charlie, you can also use your senses to locate the survivors. You can see their footprints, hear their noises, or smell their blood. You can also use your vision modes to see through walls or in the dark. However, you will also need to be careful of the survivors' tricks, such as using decoys, flashlights, or radios.
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  • As a survivor, you can choose from different characters, each with their own skills and perks. For example, John is good at repairing and hacking, Lisa is good at healing and hiding, Mike is good at fighting and escaping, and Sarah is good at exploring and finding clues. You will need to choose the character that suits your playstyle and cooperate with your teammates.
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  • As a survivor, you can also use different weapons, items, and objectives to survive or defeat Charlie. For example, you can use guns, knives, or crowbars to fight back or stun Charlie. You can use medkits, bandages, or syringes to heal yourself or your teammates. You can use keys, codes, or switches to unlock doors or activate devices.
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  • As a survivor, you can also use your senses to avoid or confront Charlie. You can see his silhouette, hear his noises, or feel his presence. You can also use your vision modes to see in the dark or detect traps. However, you will also need to be careful of Charlie's tricks, such as shape-shifting, teleporting, or setting traps.
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What are the Future Plans for Charlie | The Legend?

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Charlie | The Legend is a game that is constantly evolving and improving thanks to the feedback and support of the players and the developers. The developers have announced some of their future plans for the game on their Steam page and their social media accounts. Here are some of them:

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  • New maps: The developers plan to add new maps with different themes and scenarios for the players to explore and enjoy.
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  • New modes: The developers plan to add new modes with different rules and objectives for the players to challenge themselves and have fun.
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  • New characters: The developers plan to add new characters with different skills and perks for the players to choose from and customize.
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  • New features: The developers plan to add new features such as voice chat, cross-play, mod support, workshop support, achievements, leaderboards, and more.
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  • New updates: The developers plan to release regular updates with bug fixes, balance changes, performance improvements, quality of life improvements, and more.
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Conclusion

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Charlie | The Legend is a multiplayer asymmetrical horror video game that features a diabolical doll possessed by a demon named Charlie who can shape-shift and use dark powers. The game has two modes: online and offline. In online mode, one player controls Charlie and four players control survivors who have to escape from him or defeat him. In offline mode, one player controls Charlie and the other players are controlled by AI.

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Charlie The Duck Crack Download Skidrow is a cracked version of the game that allows you to play it for free without purchasing it from Steam. However, this also means that you are violating the copyright laws and risking legal consequences. Therefore, we do not recommend or endorse downloading or using Charlie The Duck Crack Download Skidrow.

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If you want to play Charlie | The Legend legally and safely, you should buy it from Steam instead of downloading Charlie The Duck Crack Download Skidrow. This way, you will support the developers who made the game and who deserve to be rewarded for their efforts. You will also enjoy all the features and benefits of the game without risking legal consequences or harming your computer.

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In this article, we have discussed Charlie | The Legend, a multiplayer asymmetrical horror video game that features a diabolical doll possessed by a demon named Charlie who can shape-shift and use dark powers. We have also discussed Charlie The Duck Crack Download Skidrow, a cracked version of the game that allows you to play it for free without purchasing it from Steam. We have explained the differences, the risks, and the alternatives of downloading and using Charlie The Duck Crack Download Skidrow. We have also provided some tips and tricks for playing Charlie | The Legend and some future plans for the game.

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We hope that this article has been informative and helpful for you. If you are interested in playing Charlie | The Legend, we recommend that you buy it from Steam instead of downloading Charlie The Duck Crack Download Skidrow. This way, you will support the developers who made the game and who deserve to be rewarded for their efforts. You will also enjoy all the features and benefits of the game without risking legal consequences or harming your computer.

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\ No newline at end of file diff --git a/spaces/bioriAsaeru/text-to-voice/HACK Roxio Easy Media Creator 10 Suite Genuine Iso ((NEW)) Keygen.md b/spaces/bioriAsaeru/text-to-voice/HACK Roxio Easy Media Creator 10 Suite Genuine Iso ((NEW)) Keygen.md deleted file mode 100644 index 3c4032356347887478f263ef0039e0b11d606a31..0000000000000000000000000000000000000000 --- a/spaces/bioriAsaeru/text-to-voice/HACK Roxio Easy Media Creator 10 Suite Genuine Iso ((NEW)) Keygen.md +++ /dev/null @@ -1,6 +0,0 @@ -

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- -Roxio. The Help Center is the place to go for help on. Home or any of the package modules. 32 Part I: A little bit about Easy Media Creator 8 and Digital Media ... ̄\\_(ツ)_/ ̄4↩ Find Help in the menu on the left, and then find About in the menu on the right. This will open the About page. Easy Media Creator 8 and Digital Media Creator 9 are packages that let you create a digital media CD. You can use them to create a complete multimedia CD (such as a DVD-Video) or a digital photo album CD. 8a78ff9644
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diff --git a/spaces/brainblow/AudioCreator_Music-Audio_Generation/audiocraft/quantization/__init__.py b/spaces/brainblow/AudioCreator_Music-Audio_Generation/audiocraft/quantization/__init__.py deleted file mode 100644 index 1e0c7e429ab96d67be667e23bf7a0ffa389c036b..0000000000000000000000000000000000000000 --- a/spaces/brainblow/AudioCreator_Music-Audio_Generation/audiocraft/quantization/__init__.py +++ /dev/null @@ -1,9 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the license found in the -# LICENSE file in the root directory of this source tree. -"""RVQ.""" -# flake8: noqa -from .vq import ResidualVectorQuantizer -from .base import BaseQuantizer, DummyQuantizer, QuantizedResult diff --git a/spaces/brainblow/AudioCreator_Music-Audio_Generation/tests/adversarial/__init__.py b/spaces/brainblow/AudioCreator_Music-Audio_Generation/tests/adversarial/__init__.py deleted file mode 100644 index 0952fcc3f57e34b3747962e9ebd6fc57aeea63fa..0000000000000000000000000000000000000000 --- a/spaces/brainblow/AudioCreator_Music-Audio_Generation/tests/adversarial/__init__.py +++ /dev/null @@ -1,5 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the license found in the -# LICENSE file in the root directory of this source tree. diff --git a/spaces/brjathu/HMR2.0/vendor/detectron2/.github/CODE_OF_CONDUCT.md b/spaces/brjathu/HMR2.0/vendor/detectron2/.github/CODE_OF_CONDUCT.md deleted file mode 100644 index 0f7ad8bfc173eac554f0b6ef7c684861e8014bbe..0000000000000000000000000000000000000000 --- a/spaces/brjathu/HMR2.0/vendor/detectron2/.github/CODE_OF_CONDUCT.md +++ /dev/null @@ -1,5 +0,0 @@ -# Code of Conduct - -Facebook has adopted a Code of Conduct that we expect project participants to adhere to. -Please read the [full text](https://code.fb.com/codeofconduct/) -so that you can understand what actions will and will not be tolerated. diff --git a/spaces/brjathu/HMR2.0/vendor/detectron2/projects/DensePose/tests/test_image_resize_transform.py b/spaces/brjathu/HMR2.0/vendor/detectron2/projects/DensePose/tests/test_image_resize_transform.py deleted file mode 100644 index 01c3373b64ee243198af682928939781a15f929a..0000000000000000000000000000000000000000 --- a/spaces/brjathu/HMR2.0/vendor/detectron2/projects/DensePose/tests/test_image_resize_transform.py +++ /dev/null @@ -1,16 +0,0 @@ -# Copyright (c) Facebook, Inc. and its affiliates. - -import unittest -import torch - -from densepose.data.transform import ImageResizeTransform - - -class TestImageResizeTransform(unittest.TestCase): - def test_image_resize_1(self): - images_batch = torch.ones((3, 3, 100, 100), dtype=torch.uint8) * 100 - transform = ImageResizeTransform() - images_transformed = transform(images_batch) - IMAGES_GT = torch.ones((3, 3, 800, 800), dtype=torch.float) * 100 - self.assertEqual(images_transformed.size(), IMAGES_GT.size()) - self.assertAlmostEqual(torch.abs(IMAGES_GT - images_transformed).max().item(), 0.0) diff --git a/spaces/bzd4576/sovits-sin/train.py b/spaces/bzd4576/sovits-sin/train.py deleted file mode 100644 index 336698ef8ce260048ed8a6e4f0efa5daffb50eb2..0000000000000000000000000000000000000000 --- a/spaces/bzd4576/sovits-sin/train.py +++ /dev/null @@ -1,295 +0,0 @@ -import os -import json -import argparse -import itertools -import math -import torch -from torch import nn, optim -from torch.nn import functional as F -from torch.utils.data import DataLoader -from torch.utils.tensorboard import SummaryWriter -import torch.multiprocessing as mp -import torch.distributed as dist -from torch.nn.parallel import DistributedDataParallel as DDP -from torch.cuda.amp import autocast, GradScaler - -import librosa -import logging - -logging.getLogger('numba').setLevel(logging.WARNING) - -import commons -import utils -from data_utils import ( - TextAudioLoader, - TextAudioCollate, - DistributedBucketSampler -) -from models import ( - SynthesizerTrn, - MultiPeriodDiscriminator, -) -from losses import ( - generator_loss, - discriminator_loss, - feature_loss, - kl_loss -) -from mel_processing import mel_spectrogram_torch, spec_to_mel_torch -from text.symbols import symbols - - -torch.backends.cudnn.benchmark = True -global_step = 0 - - -def main(): - """Assume Single Node Multi GPUs Training Only""" - assert torch.cuda.is_available(), "CPU training is not allowed." - - n_gpus = torch.cuda.device_count() - os.environ['MASTER_ADDR'] = 'localhost' - os.environ['MASTER_PORT'] = '80000' - - hps = utils.get_hparams() - mp.spawn(run, nprocs=n_gpus, args=(n_gpus, hps,)) - - -def run(rank, n_gpus, hps): - global global_step - if rank == 0: - logger = utils.get_logger(hps.model_dir) - logger.info(hps) - utils.check_git_hash(hps.model_dir) - writer = SummaryWriter(log_dir=hps.model_dir) - writer_eval = SummaryWriter(log_dir=os.path.join(hps.model_dir, "eval")) - - dist.init_process_group(backend='nccl', init_method='env://', world_size=n_gpus, rank=rank) - torch.manual_seed(hps.train.seed) - torch.cuda.set_device(rank) - - train_dataset = TextAudioLoader(hps.data.training_files, hps.data) - train_sampler = DistributedBucketSampler( - train_dataset, - hps.train.batch_size, - [32,300,400,500,600,700,800,900,1000], - num_replicas=n_gpus, - rank=rank, - shuffle=True) - collate_fn = TextAudioCollate() - train_loader = DataLoader(train_dataset, num_workers=8, shuffle=False, pin_memory=True, - collate_fn=collate_fn, batch_sampler=train_sampler) - if rank == 0: - eval_dataset = TextAudioLoader(hps.data.validation_files, hps.data) - eval_loader = DataLoader(eval_dataset, num_workers=8, shuffle=False, - batch_size=hps.train.batch_size, pin_memory=True, - drop_last=False, collate_fn=collate_fn) - - net_g = SynthesizerTrn( - len(symbols), - hps.data.filter_length // 2 + 1, - hps.train.segment_size // hps.data.hop_length, - **hps.model).cuda(rank) - net_d = MultiPeriodDiscriminator(hps.model.use_spectral_norm).cuda(rank) - optim_g = torch.optim.AdamW( - net_g.parameters(), - hps.train.learning_rate, - betas=hps.train.betas, - eps=hps.train.eps) - optim_d = torch.optim.AdamW( - net_d.parameters(), - hps.train.learning_rate, - betas=hps.train.betas, - eps=hps.train.eps) - net_g = DDP(net_g, device_ids=[rank]) - net_d = DDP(net_d, device_ids=[rank]) - - try: - _, _, _, epoch_str = utils.load_checkpoint(utils.latest_checkpoint_path(hps.model_dir, "G_*.pth"), net_g, optim_g) - _, _, _, epoch_str = utils.load_checkpoint(utils.latest_checkpoint_path(hps.model_dir, "D_*.pth"), net_d, optim_d) - global_step = (epoch_str - 1) * len(train_loader) - except: - epoch_str = 1 - global_step = 0 - - scheduler_g = torch.optim.lr_scheduler.ExponentialLR(optim_g, gamma=hps.train.lr_decay, last_epoch=epoch_str-2) - scheduler_d = torch.optim.lr_scheduler.ExponentialLR(optim_d, gamma=hps.train.lr_decay, last_epoch=epoch_str-2) - - scaler = GradScaler(enabled=hps.train.fp16_run) - - for epoch in range(epoch_str, hps.train.epochs + 1): - if rank==0: - train_and_evaluate(rank, epoch, hps, [net_g, net_d], [optim_g, optim_d], [scheduler_g, scheduler_d], scaler, [train_loader, eval_loader], logger, [writer, writer_eval]) - else: - train_and_evaluate(rank, epoch, hps, [net_g, net_d], [optim_g, optim_d], [scheduler_g, scheduler_d], scaler, [train_loader, None], None, None) - scheduler_g.step() - scheduler_d.step() - - -def train_and_evaluate(rank, epoch, hps, nets, optims, schedulers, scaler, loaders, logger, writers): - net_g, net_d = nets - optim_g, optim_d = optims - scheduler_g, scheduler_d = schedulers - train_loader, eval_loader = loaders - if writers is not None: - writer, writer_eval = writers - - train_loader.batch_sampler.set_epoch(epoch) - global global_step - - net_g.train() - net_d.train() - for batch_idx, (x, x_lengths, spec, spec_lengths, y, y_lengths) in enumerate(train_loader): - x, x_lengths = x.cuda(rank, non_blocking=True), x_lengths.cuda(rank, non_blocking=True) - spec, spec_lengths = spec.cuda(rank, non_blocking=True), spec_lengths.cuda(rank, non_blocking=True) - y, y_lengths = y.cuda(rank, non_blocking=True), y_lengths.cuda(rank, non_blocking=True) - - with autocast(enabled=hps.train.fp16_run): - y_hat, l_length, attn, ids_slice, x_mask, z_mask,\ - (z, z_p, m_p, logs_p, m_q, logs_q) = net_g(x, x_lengths, spec, spec_lengths) - - mel = spec_to_mel_torch( - spec, - hps.data.filter_length, - hps.data.n_mel_channels, - hps.data.sampling_rate, - hps.data.mel_fmin, - hps.data.mel_fmax) - y_mel = commons.slice_segments(mel, ids_slice, hps.train.segment_size // hps.data.hop_length) - y_hat_mel = mel_spectrogram_torch( - y_hat.squeeze(1), - hps.data.filter_length, - hps.data.n_mel_channels, - hps.data.sampling_rate, - hps.data.hop_length, - hps.data.win_length, - hps.data.mel_fmin, - hps.data.mel_fmax - ) - - y = commons.slice_segments(y, ids_slice * hps.data.hop_length, hps.train.segment_size) # slice - - # Discriminator - y_d_hat_r, y_d_hat_g, _, _ = net_d(y, y_hat.detach()) - with autocast(enabled=False): - loss_disc, losses_disc_r, losses_disc_g = discriminator_loss(y_d_hat_r, y_d_hat_g) - loss_disc_all = loss_disc - optim_d.zero_grad() - scaler.scale(loss_disc_all).backward() - scaler.unscale_(optim_d) - grad_norm_d = commons.clip_grad_value_(net_d.parameters(), None) - scaler.step(optim_d) - - with autocast(enabled=hps.train.fp16_run): - # Generator - y_d_hat_r, y_d_hat_g, fmap_r, fmap_g = net_d(y, y_hat) - with autocast(enabled=False): - loss_dur = torch.sum(l_length.float()) - loss_mel = F.l1_loss(y_mel, y_hat_mel) * hps.train.c_mel - loss_kl = kl_loss(z_p, logs_q, m_p, logs_p, z_mask) * hps.train.c_kl - - loss_fm = feature_loss(fmap_r, fmap_g) - loss_gen, losses_gen = generator_loss(y_d_hat_g) - loss_gen_all = loss_gen + loss_fm + loss_mel + loss_dur + loss_kl - optim_g.zero_grad() - scaler.scale(loss_gen_all).backward() - scaler.unscale_(optim_g) - grad_norm_g = commons.clip_grad_value_(net_g.parameters(), None) - scaler.step(optim_g) - scaler.update() - - if rank==0: - if global_step % hps.train.log_interval == 0: - lr = optim_g.param_groups[0]['lr'] - losses = [loss_disc, loss_gen, loss_fm, loss_mel, loss_dur, loss_kl] - logger.info('Train Epoch: {} [{:.0f}%]'.format( - epoch, - 100. * batch_idx / len(train_loader))) - logger.info([x.item() for x in losses] + [global_step, lr]) - - scalar_dict = {"loss/g/total": loss_gen_all, "loss/d/total": loss_disc_all, "learning_rate": lr, "grad_norm_d": grad_norm_d, "grad_norm_g": grad_norm_g} - scalar_dict.update({"loss/g/fm": loss_fm, "loss/g/mel": loss_mel, "loss/g/dur": loss_dur, "loss/g/kl": loss_kl}) - - scalar_dict.update({"loss/g/{}".format(i): v for i, v in enumerate(losses_gen)}) - scalar_dict.update({"loss/d_r/{}".format(i): v for i, v in enumerate(losses_disc_r)}) - scalar_dict.update({"loss/d_g/{}".format(i): v for i, v in enumerate(losses_disc_g)}) - image_dict = { - "slice/mel_org": utils.plot_spectrogram_to_numpy(y_mel[0].data.cpu().numpy()), - "slice/mel_gen": utils.plot_spectrogram_to_numpy(y_hat_mel[0].data.cpu().numpy()), - "all/mel": utils.plot_spectrogram_to_numpy(mel[0].data.cpu().numpy()), - "all/attn": utils.plot_alignment_to_numpy(attn[0,0].data.cpu().numpy()) - } - utils.summarize( - writer=writer, - global_step=global_step, - images=image_dict, - scalars=scalar_dict) - - if global_step % hps.train.eval_interval == 0: - evaluate(hps, net_g, eval_loader, writer_eval) - utils.save_checkpoint(net_g, optim_g, hps.train.learning_rate, epoch, os.path.join(hps.model_dir, "G_{}.pth".format(global_step))) - utils.save_checkpoint(net_d, optim_d, hps.train.learning_rate, epoch, os.path.join(hps.model_dir, "D_{}.pth".format(global_step))) - global_step += 1 - - if rank == 0: - logger.info('====> Epoch: {}'.format(epoch)) - - -def evaluate(hps, generator, eval_loader, writer_eval): - generator.eval() - with torch.no_grad(): - for batch_idx, (x, x_lengths, spec, spec_lengths, y, y_lengths) in enumerate(eval_loader): - x, x_lengths = x.cuda(0), x_lengths.cuda(0) - spec, spec_lengths = spec.cuda(0), spec_lengths.cuda(0) - y, y_lengths = y.cuda(0), y_lengths.cuda(0) - - # remove else - x = x[:1] - x_lengths = x_lengths[:1] - spec = spec[:1] - spec_lengths = spec_lengths[:1] - y = y[:1] - y_lengths = y_lengths[:1] - break - y_hat, attn, mask, *_ = generator.module.infer(x, x_lengths, max_len=1000) - y_hat_lengths = mask.sum([1,2]).long() * hps.data.hop_length - - mel = spec_to_mel_torch( - spec, - hps.data.filter_length, - hps.data.n_mel_channels, - hps.data.sampling_rate, - hps.data.mel_fmin, - hps.data.mel_fmax) - y_hat_mel = mel_spectrogram_torch( - y_hat.squeeze(1).float(), - hps.data.filter_length, - hps.data.n_mel_channels, - hps.data.sampling_rate, - hps.data.hop_length, - hps.data.win_length, - hps.data.mel_fmin, - hps.data.mel_fmax - ) - image_dict = { - "gen/mel": utils.plot_spectrogram_to_numpy(y_hat_mel[0].cpu().numpy()) - } - audio_dict = { - "gen/audio": y_hat[0,:,:y_hat_lengths[0]] - } - if global_step == 0: - image_dict.update({"gt/mel": utils.plot_spectrogram_to_numpy(mel[0].cpu().numpy())}) - audio_dict.update({"gt/audio": y[0,:,:y_lengths[0]]}) - - utils.summarize( - writer=writer_eval, - global_step=global_step, - images=image_dict, - audios=audio_dict, - audio_sampling_rate=hps.data.sampling_rate - ) - generator.train() - - -if __name__ == "__main__": - main() diff --git a/spaces/camenduru-com/audioldm-text-to-audio-generation/audioldm/clap/training/imagenet_zeroshot_data.py b/spaces/camenduru-com/audioldm-text-to-audio-generation/audioldm/clap/training/imagenet_zeroshot_data.py deleted file mode 100644 index d32e55328d6799ccb8d61625f43abb80a33d6c17..0000000000000000000000000000000000000000 --- a/spaces/camenduru-com/audioldm-text-to-audio-generation/audioldm/clap/training/imagenet_zeroshot_data.py +++ /dev/null @@ -1,1088 +0,0 @@ -# NOTE: This script is currently not supported for CLAP. - -imagenet_classnames = [ - "tench", - "goldfish", - "great white shark", - "tiger shark", - "hammerhead shark", - "electric ray", - "stingray", - "rooster", - "hen", - "ostrich", - "brambling", - "goldfinch", - "house finch", - "junco", - "indigo bunting", - "American robin", - "bulbul", - "jay", - "magpie", - "chickadee", - "American dipper", - "kite (bird of prey)", - "bald eagle", - "vulture", - "great grey owl", - "fire salamander", - "smooth newt", - "newt", - "spotted salamander", - "axolotl", - "American bullfrog", - "tree frog", - "tailed frog", - "loggerhead sea turtle", - "leatherback sea turtle", - "mud turtle", - "terrapin", - "box turtle", - "banded gecko", - "green iguana", - "Carolina anole", - "desert grassland whiptail lizard", - "agama", - "frilled-necked lizard", - "alligator lizard", - "Gila monster", - "European green lizard", - "chameleon", - "Komodo dragon", - "Nile crocodile", - "American alligator", - "triceratops", - "worm snake", - "ring-necked snake", - "eastern hog-nosed snake", - "smooth green snake", - "kingsnake", - "garter snake", - "water snake", - "vine snake", - "night snake", - "boa constrictor", - "African rock python", - "Indian cobra", - "green mamba", - "sea snake", - "Saharan horned viper", - "eastern diamondback rattlesnake", - "sidewinder rattlesnake", - "trilobite", - "harvestman", - "scorpion", - "yellow garden spider", - "barn spider", - "European garden spider", - "southern black widow", - "tarantula", - "wolf spider", - "tick", - "centipede", - "black grouse", - "ptarmigan", - "ruffed grouse", - "prairie grouse", - "peafowl", - "quail", - "partridge", - "african grey parrot", - "macaw", - "sulphur-crested cockatoo", - "lorikeet", - "coucal", - "bee eater", - "hornbill", - "hummingbird", - "jacamar", - "toucan", - "duck", - "red-breasted merganser", - "goose", - "black swan", - "tusker", - "echidna", - "platypus", - "wallaby", - "koala", - "wombat", - "jellyfish", - "sea anemone", - "brain coral", - "flatworm", - "nematode", - "conch", - "snail", - "slug", - "sea slug", - "chiton", - "chambered nautilus", - "Dungeness crab", - "rock crab", - "fiddler crab", - "red king crab", - "American lobster", - "spiny lobster", - "crayfish", - "hermit crab", - "isopod", - "white stork", - "black stork", - "spoonbill", - "flamingo", - "little blue heron", - "great egret", - "bittern bird", - "crane bird", - "limpkin", - "common gallinule", - "American coot", - "bustard", - "ruddy turnstone", - "dunlin", - "common redshank", - "dowitcher", - "oystercatcher", - "pelican", - "king penguin", - "albatross", - "grey whale", - "killer whale", - "dugong", - "sea lion", - "Chihuahua", - "Japanese Chin", - "Maltese", - "Pekingese", - "Shih Tzu", - "King Charles Spaniel", - "Papillon", - "toy terrier", - "Rhodesian Ridgeback", - "Afghan Hound", - "Basset Hound", - "Beagle", - "Bloodhound", - "Bluetick Coonhound", - "Black and Tan Coonhound", - "Treeing Walker Coonhound", - "English foxhound", - "Redbone Coonhound", - "borzoi", - "Irish Wolfhound", - "Italian Greyhound", - "Whippet", - "Ibizan Hound", - "Norwegian Elkhound", - "Otterhound", - "Saluki", - "Scottish Deerhound", - "Weimaraner", - "Staffordshire Bull Terrier", - "American Staffordshire Terrier", - "Bedlington Terrier", - "Border Terrier", - "Kerry Blue Terrier", - "Irish Terrier", - "Norfolk Terrier", - "Norwich Terrier", - "Yorkshire Terrier", - "Wire Fox Terrier", - "Lakeland Terrier", - "Sealyham Terrier", - "Airedale Terrier", - "Cairn Terrier", - "Australian Terrier", - "Dandie Dinmont Terrier", - "Boston Terrier", - "Miniature Schnauzer", - "Giant Schnauzer", - "Standard Schnauzer", - "Scottish Terrier", - "Tibetan Terrier", - "Australian Silky Terrier", - "Soft-coated Wheaten Terrier", - "West Highland White Terrier", - "Lhasa Apso", - "Flat-Coated Retriever", - "Curly-coated Retriever", - "Golden Retriever", - "Labrador Retriever", - "Chesapeake Bay Retriever", - "German Shorthaired Pointer", - "Vizsla", - "English Setter", - "Irish Setter", - "Gordon Setter", - "Brittany dog", - "Clumber Spaniel", - "English Springer Spaniel", - "Welsh Springer Spaniel", - "Cocker Spaniel", - "Sussex Spaniel", - "Irish Water Spaniel", - "Kuvasz", - "Schipperke", - "Groenendael dog", - "Malinois", - "Briard", - "Australian Kelpie", - "Komondor", - "Old English Sheepdog", - "Shetland Sheepdog", - "collie", - "Border Collie", - "Bouvier des Flandres dog", - "Rottweiler", - "German Shepherd Dog", - "Dobermann", - "Miniature Pinscher", - "Greater Swiss Mountain Dog", - "Bernese Mountain Dog", - "Appenzeller Sennenhund", - "Entlebucher Sennenhund", - "Boxer", - "Bullmastiff", - "Tibetan Mastiff", - "French Bulldog", - "Great Dane", - "St. Bernard", - "husky", - "Alaskan Malamute", - "Siberian Husky", - "Dalmatian", - "Affenpinscher", - "Basenji", - "pug", - "Leonberger", - "Newfoundland dog", - "Great Pyrenees dog", - "Samoyed", - "Pomeranian", - "Chow Chow", - "Keeshond", - "brussels griffon", - "Pembroke Welsh Corgi", - "Cardigan Welsh Corgi", - "Toy Poodle", - "Miniature Poodle", - "Standard Poodle", - "Mexican hairless dog (xoloitzcuintli)", - "grey wolf", - "Alaskan tundra wolf", - "red wolf or maned wolf", - "coyote", - "dingo", - "dhole", - "African wild dog", - "hyena", - "red fox", - "kit fox", - "Arctic fox", - "grey fox", - "tabby cat", - "tiger cat", - "Persian cat", - "Siamese cat", - "Egyptian Mau", - "cougar", - "lynx", - "leopard", - "snow leopard", - "jaguar", - "lion", - "tiger", - "cheetah", - "brown bear", - "American black bear", - "polar bear", - "sloth bear", - "mongoose", - "meerkat", - "tiger beetle", - "ladybug", - "ground beetle", - "longhorn beetle", - "leaf beetle", - "dung beetle", - "rhinoceros beetle", - "weevil", - "fly", - "bee", - "ant", - "grasshopper", - "cricket insect", - "stick insect", - "cockroach", - "praying mantis", - "cicada", - "leafhopper", - "lacewing", - "dragonfly", - "damselfly", - "red admiral butterfly", - "ringlet butterfly", - "monarch butterfly", - "small white butterfly", - "sulphur butterfly", - "gossamer-winged butterfly", - "starfish", - "sea urchin", - "sea cucumber", - "cottontail rabbit", - "hare", - "Angora rabbit", - "hamster", - "porcupine", - "fox squirrel", - "marmot", - "beaver", - "guinea pig", - "common sorrel horse", - "zebra", - "pig", - "wild boar", - "warthog", - "hippopotamus", - "ox", - "water buffalo", - "bison", - "ram (adult male sheep)", - "bighorn sheep", - "Alpine ibex", - "hartebeest", - "impala (antelope)", - "gazelle", - "arabian camel", - "llama", - "weasel", - "mink", - "European polecat", - "black-footed ferret", - "otter", - "skunk", - "badger", - "armadillo", - "three-toed sloth", - "orangutan", - "gorilla", - "chimpanzee", - "gibbon", - "siamang", - "guenon", - "patas monkey", - "baboon", - "macaque", - "langur", - "black-and-white colobus", - "proboscis monkey", - "marmoset", - "white-headed capuchin", - "howler monkey", - "titi monkey", - "Geoffroy's spider monkey", - "common squirrel monkey", - "ring-tailed lemur", - "indri", - "Asian elephant", - "African bush elephant", - "red panda", - "giant panda", - "snoek fish", - "eel", - "silver salmon", - "rock beauty fish", - "clownfish", - "sturgeon", - "gar fish", - "lionfish", - "pufferfish", - "abacus", - "abaya", - "academic gown", - "accordion", - "acoustic guitar", - "aircraft carrier", - "airliner", - "airship", - "altar", - "ambulance", - "amphibious vehicle", - "analog clock", - "apiary", - "apron", - "trash can", - "assault rifle", - "backpack", - "bakery", - "balance beam", - "balloon", - "ballpoint pen", - "Band-Aid", - "banjo", - "baluster / handrail", - "barbell", - "barber chair", - "barbershop", - "barn", - "barometer", - "barrel", - "wheelbarrow", - "baseball", - "basketball", - "bassinet", - "bassoon", - "swimming cap", - "bath towel", - "bathtub", - "station wagon", - "lighthouse", - "beaker", - "military hat (bearskin or shako)", - "beer bottle", - "beer glass", - "bell tower", - "baby bib", - "tandem bicycle", - "bikini", - "ring binder", - "binoculars", - "birdhouse", - "boathouse", - "bobsleigh", - "bolo tie", - "poke bonnet", - "bookcase", - "bookstore", - "bottle cap", - "hunting bow", - "bow tie", - "brass memorial plaque", - "bra", - "breakwater", - "breastplate", - "broom", - "bucket", - "buckle", - "bulletproof vest", - "high-speed train", - "butcher shop", - "taxicab", - "cauldron", - "candle", - "cannon", - "canoe", - "can opener", - "cardigan", - "car mirror", - "carousel", - "tool kit", - "cardboard box / carton", - "car wheel", - "automated teller machine", - "cassette", - "cassette player", - "castle", - "catamaran", - "CD player", - "cello", - "mobile phone", - "chain", - "chain-link fence", - "chain mail", - "chainsaw", - "storage chest", - "chiffonier", - "bell or wind chime", - "china cabinet", - "Christmas stocking", - "church", - "movie theater", - "cleaver", - "cliff dwelling", - "cloak", - "clogs", - "cocktail shaker", - "coffee mug", - "coffeemaker", - "spiral or coil", - "combination lock", - "computer keyboard", - "candy store", - "container ship", - "convertible", - "corkscrew", - "cornet", - "cowboy boot", - "cowboy hat", - "cradle", - "construction crane", - "crash helmet", - "crate", - "infant bed", - "Crock Pot", - "croquet ball", - "crutch", - "cuirass", - "dam", - "desk", - "desktop computer", - "rotary dial telephone", - "diaper", - "digital clock", - "digital watch", - "dining table", - "dishcloth", - "dishwasher", - "disc brake", - "dock", - "dog sled", - "dome", - "doormat", - "drilling rig", - "drum", - "drumstick", - "dumbbell", - "Dutch oven", - "electric fan", - "electric guitar", - "electric locomotive", - "entertainment center", - "envelope", - "espresso machine", - "face powder", - "feather boa", - "filing cabinet", - "fireboat", - "fire truck", - "fire screen", - "flagpole", - "flute", - "folding chair", - "football helmet", - "forklift", - "fountain", - "fountain pen", - "four-poster bed", - "freight car", - "French horn", - "frying pan", - "fur coat", - "garbage truck", - "gas mask or respirator", - "gas pump", - "goblet", - "go-kart", - "golf ball", - "golf cart", - "gondola", - "gong", - "gown", - "grand piano", - "greenhouse", - "radiator grille", - "grocery store", - "guillotine", - "hair clip", - "hair spray", - "half-track", - "hammer", - "hamper", - "hair dryer", - "hand-held computer", - "handkerchief", - "hard disk drive", - "harmonica", - "harp", - "combine harvester", - "hatchet", - "holster", - "home theater", - "honeycomb", - "hook", - "hoop skirt", - "gymnastic horizontal bar", - "horse-drawn vehicle", - "hourglass", - "iPod", - "clothes iron", - "carved pumpkin", - "jeans", - "jeep", - "T-shirt", - "jigsaw puzzle", - "rickshaw", - "joystick", - "kimono", - "knee pad", - "knot", - "lab coat", - "ladle", - "lampshade", - "laptop computer", - "lawn mower", - "lens cap", - "letter opener", - "library", - "lifeboat", - "lighter", - "limousine", - "ocean liner", - "lipstick", - "slip-on shoe", - "lotion", - "music speaker", - "loupe magnifying glass", - "sawmill", - "magnetic compass", - "messenger bag", - "mailbox", - "tights", - "one-piece bathing suit", - "manhole cover", - "maraca", - "marimba", - "mask", - "matchstick", - "maypole", - "maze", - "measuring cup", - "medicine cabinet", - "megalith", - "microphone", - "microwave oven", - "military uniform", - "milk can", - "minibus", - "miniskirt", - "minivan", - "missile", - "mitten", - "mixing bowl", - "mobile home", - "ford model t", - "modem", - "monastery", - "monitor", - "moped", - "mortar and pestle", - "graduation cap", - "mosque", - "mosquito net", - "vespa", - "mountain bike", - "tent", - "computer mouse", - "mousetrap", - "moving van", - "muzzle", - "metal nail", - "neck brace", - "necklace", - "baby pacifier", - "notebook computer", - "obelisk", - "oboe", - "ocarina", - "odometer", - "oil filter", - "pipe organ", - "oscilloscope", - "overskirt", - "bullock cart", - "oxygen mask", - "product packet / packaging", - "paddle", - "paddle wheel", - "padlock", - "paintbrush", - "pajamas", - "palace", - "pan flute", - "paper towel", - "parachute", - "parallel bars", - "park bench", - "parking meter", - "railroad car", - "patio", - "payphone", - "pedestal", - "pencil case", - "pencil sharpener", - "perfume", - "Petri dish", - "photocopier", - "plectrum", - "Pickelhaube", - "picket fence", - "pickup truck", - "pier", - "piggy bank", - "pill bottle", - "pillow", - "ping-pong ball", - "pinwheel", - "pirate ship", - "drink pitcher", - "block plane", - "planetarium", - "plastic bag", - "plate rack", - "farm plow", - "plunger", - "Polaroid camera", - "pole", - "police van", - "poncho", - "pool table", - "soda bottle", - "plant pot", - "potter's wheel", - "power drill", - "prayer rug", - "printer", - "prison", - "missile", - "projector", - "hockey puck", - "punching bag", - "purse", - "quill", - "quilt", - "race car", - "racket", - "radiator", - "radio", - "radio telescope", - "rain barrel", - "recreational vehicle", - "fishing casting reel", - "reflex camera", - "refrigerator", - "remote control", - "restaurant", - "revolver", - "rifle", - "rocking chair", - "rotisserie", - "eraser", - "rugby ball", - "ruler measuring stick", - "sneaker", - "safe", - "safety pin", - "salt shaker", - "sandal", - "sarong", - "saxophone", - "scabbard", - "weighing scale", - "school bus", - "schooner", - "scoreboard", - "CRT monitor", - "screw", - "screwdriver", - "seat belt", - "sewing machine", - "shield", - "shoe store", - "shoji screen / room divider", - "shopping basket", - "shopping cart", - "shovel", - "shower cap", - "shower curtain", - "ski", - "balaclava ski mask", - "sleeping bag", - "slide rule", - "sliding door", - "slot machine", - "snorkel", - "snowmobile", - "snowplow", - "soap dispenser", - "soccer ball", - "sock", - "solar thermal collector", - "sombrero", - "soup bowl", - "keyboard space bar", - "space heater", - "space shuttle", - "spatula", - "motorboat", - "spider web", - "spindle", - "sports car", - "spotlight", - "stage", - "steam locomotive", - "through arch bridge", - "steel drum", - "stethoscope", - "scarf", - "stone wall", - "stopwatch", - "stove", - "strainer", - "tram", - "stretcher", - "couch", - "stupa", - "submarine", - "suit", - "sundial", - "sunglasses", - "sunglasses", - "sunscreen", - "suspension bridge", - "mop", - "sweatshirt", - "swim trunks / shorts", - "swing", - "electrical switch", - "syringe", - "table lamp", - "tank", - "tape player", - "teapot", - "teddy bear", - "television", - "tennis ball", - "thatched roof", - "front curtain", - "thimble", - "threshing machine", - "throne", - "tile roof", - "toaster", - "tobacco shop", - "toilet seat", - "torch", - "totem pole", - "tow truck", - "toy store", - "tractor", - "semi-trailer truck", - "tray", - "trench coat", - "tricycle", - "trimaran", - "tripod", - "triumphal arch", - "trolleybus", - "trombone", - "hot tub", - "turnstile", - "typewriter keyboard", - "umbrella", - "unicycle", - "upright piano", - "vacuum cleaner", - "vase", - "vaulted or arched ceiling", - "velvet fabric", - "vending machine", - "vestment", - "viaduct", - "violin", - "volleyball", - "waffle iron", - "wall clock", - "wallet", - "wardrobe", - "military aircraft", - "sink", - "washing machine", - "water bottle", - "water jug", - "water tower", - "whiskey jug", - "whistle", - "hair wig", - "window screen", - "window shade", - "Windsor tie", - "wine bottle", - "airplane wing", - "wok", - "wooden spoon", - "wool", - "split-rail fence", - "shipwreck", - "sailboat", - "yurt", - "website", - "comic book", - "crossword", - "traffic or street sign", - "traffic light", - "dust jacket", - "menu", - "plate", - "guacamole", - "consomme", - "hot pot", - "trifle", - "ice cream", - "popsicle", - "baguette", - "bagel", - "pretzel", - "cheeseburger", - "hot dog", - "mashed potatoes", - "cabbage", - "broccoli", - "cauliflower", - "zucchini", - "spaghetti squash", - "acorn squash", - "butternut squash", - "cucumber", - "artichoke", - "bell pepper", - "cardoon", - "mushroom", - "Granny Smith apple", - "strawberry", - "orange", - "lemon", - "fig", - "pineapple", - "banana", - "jackfruit", - "cherimoya (custard apple)", - "pomegranate", - "hay", - "carbonara", - "chocolate syrup", - "dough", - "meatloaf", - "pizza", - "pot pie", - "burrito", - "red wine", - "espresso", - "tea cup", - "eggnog", - "mountain", - "bubble", - "cliff", - "coral reef", - "geyser", - "lakeshore", - "promontory", - "sandbar", - "beach", - "valley", - "volcano", - "baseball player", - "bridegroom", - "scuba diver", - "rapeseed", - "daisy", - "yellow lady's slipper", - "corn", - "acorn", - "rose hip", - "horse chestnut seed", - "coral fungus", - "agaric", - "gyromitra", - "stinkhorn mushroom", - "earth star fungus", - "hen of the woods mushroom", - "bolete", - "corn cob", - "toilet paper", -] - - -openai_imagenet_template = [ - lambda c: f"a bad photo of a {c}.", - lambda c: f"a photo of many {c}.", - lambda c: f"a sculpture of a {c}.", - lambda c: f"a photo of the hard to see {c}.", - lambda c: f"a low resolution photo of the {c}.", - lambda c: f"a rendering of a {c}.", - lambda c: f"graffiti of a {c}.", - lambda c: f"a bad photo of the {c}.", - lambda c: f"a cropped photo of the {c}.", - lambda c: f"a tattoo of a {c}.", - lambda c: f"the embroidered {c}.", - lambda c: f"a photo of a hard to see {c}.", - lambda c: f"a bright photo of a {c}.", - lambda c: f"a photo of a clean {c}.", - lambda c: f"a photo of a dirty {c}.", - lambda c: f"a dark photo of the {c}.", - lambda c: f"a drawing of a {c}.", - lambda c: f"a photo of my {c}.", - lambda c: f"the plastic {c}.", - lambda c: f"a photo of the cool {c}.", - lambda c: f"a close-up photo of a {c}.", - lambda c: f"a black and white photo of the {c}.", - lambda c: f"a painting of the {c}.", - lambda c: f"a painting of a {c}.", - lambda c: f"a pixelated photo of the {c}.", - lambda c: f"a sculpture of the {c}.", - lambda c: f"a bright photo of the {c}.", - lambda c: f"a cropped photo of a {c}.", - lambda c: f"a plastic {c}.", - lambda c: f"a photo of the dirty {c}.", - lambda c: f"a jpeg corrupted photo of a {c}.", - lambda c: f"a blurry photo of the {c}.", - lambda c: f"a photo of the {c}.", - lambda c: f"a good photo of the {c}.", - lambda c: f"a rendering of the {c}.", - lambda c: f"a {c} in a video game.", - lambda c: f"a photo of one {c}.", - lambda c: f"a doodle of a {c}.", - lambda c: f"a close-up photo of the {c}.", - lambda c: f"a photo of a {c}.", - lambda c: f"the origami {c}.", - lambda c: f"the {c} in a video game.", - lambda c: f"a sketch of a {c}.", - lambda c: f"a doodle of the {c}.", - lambda c: f"a origami {c}.", - lambda c: f"a low resolution photo of a {c}.", - lambda c: f"the toy {c}.", - lambda c: f"a rendition of the {c}.", - lambda c: f"a photo of the clean {c}.", - lambda c: f"a photo of a large {c}.", - lambda c: f"a rendition of a {c}.", - lambda c: f"a photo of a nice {c}.", - lambda c: f"a photo of a weird {c}.", - lambda c: f"a blurry photo of a {c}.", - lambda c: f"a cartoon {c}.", - lambda c: f"art of a {c}.", - lambda c: f"a sketch of the {c}.", - lambda c: f"a embroidered {c}.", - lambda c: f"a pixelated photo of a {c}.", - lambda c: f"itap of the {c}.", - lambda c: f"a jpeg corrupted photo of the {c}.", - lambda c: f"a good photo of a {c}.", - lambda c: f"a plushie {c}.", - lambda c: f"a photo of the nice {c}.", - lambda c: f"a photo of the small {c}.", - lambda c: f"a photo of the weird {c}.", - lambda c: f"the cartoon {c}.", - lambda c: f"art of the {c}.", - lambda c: f"a drawing of the {c}.", - lambda c: f"a photo of the large {c}.", - lambda c: f"a black and white photo of a {c}.", - lambda c: f"the plushie {c}.", - lambda c: f"a dark photo of a {c}.", - lambda c: f"itap of a {c}.", - lambda c: f"graffiti of the {c}.", - lambda c: f"a toy {c}.", - lambda c: f"itap of my {c}.", - lambda c: f"a photo of a cool {c}.", - lambda c: f"a photo of a small {c}.", - lambda c: f"a tattoo of the {c}.", -] diff --git a/spaces/carlosaguayo/cats_vs_dogs/README.md b/spaces/carlosaguayo/cats_vs_dogs/README.md deleted file mode 100644 index d52428213fde64f5e719d6e1740e64cc442f24ec..0000000000000000000000000000000000000000 --- a/spaces/carlosaguayo/cats_vs_dogs/README.md +++ /dev/null @@ -1,37 +0,0 @@ ---- -title: Cats_vs_dogs -emoji: 📚 -colorFrom: indigo -colorTo: pink -sdk: gradio -app_file: app.py -pinned: false ---- - -# Configuration - -`title`: _string_ -Display title for the Space - -`emoji`: _string_ -Space emoji (emoji-only character allowed) - -`colorFrom`: _string_ -Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray) - -`colorTo`: _string_ -Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray) - -`sdk`: _string_ -Can be either `gradio`, `streamlit`, or `static` - -`sdk_version` : _string_ -Only applicable for `streamlit` SDK. -See [doc](https://hf.co/docs/hub/spaces) for more info on supported versions. - -`app_file`: _string_ -Path to your main application file (which contains either `gradio` or `streamlit` Python code, or `static` html code). -Path is relative to the root of the repository. - -`pinned`: _boolean_ -Whether the Space stays on top of your list. diff --git a/spaces/carlosalonso/Detection-video/carpeta_deteccion/INSTALL.md b/spaces/carlosalonso/Detection-video/carpeta_deteccion/INSTALL.md deleted file mode 100644 index f522e6f624372f39ee5366f5b032c0cd1ebcf5c8..0000000000000000000000000000000000000000 --- a/spaces/carlosalonso/Detection-video/carpeta_deteccion/INSTALL.md +++ /dev/null @@ -1,261 +0,0 @@ -## Installation - -### Requirements -- Linux or macOS with Python ≥ 3.7 -- PyTorch ≥ 1.8 and [torchvision](https://github.com/pytorch/vision/) that matches the PyTorch installation. - Install them together at [pytorch.org](https://pytorch.org) to make sure of this -- OpenCV is optional but needed by demo and visualization - - -### Build Detectron2 from Source - -gcc & g++ ≥ 5.4 are required. [ninja](https://ninja-build.org/) is optional but recommended for faster build. -After having them, run: -``` -python -m pip install 'git+https://github.com/facebookresearch/detectron2.git' -# (add --user if you don't have permission) - -# Or, to install it from a local clone: -git clone https://github.com/facebookresearch/detectron2.git -python -m pip install -e detectron2 - -# On macOS, you may need to prepend the above commands with a few environment variables: -CC=clang CXX=clang++ ARCHFLAGS="-arch x86_64" python -m pip install ... -``` - -To __rebuild__ detectron2 that's built from a local clone, use `rm -rf build/ **/*.so` to clean the -old build first. You often need to rebuild detectron2 after reinstalling PyTorch. - -### Install Pre-Built Detectron2 (Linux only) - -Choose from this table to install [v0.6 (Oct 2021)](https://github.com/facebookresearch/detectron2/releases): - -
CUDA torch 1.10torch 1.9torch 1.8
11.3
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python -m pip install detectron2 -f \
-  https://dl.fbaipublicfiles.com/detectron2/wheels/cu113/torch1.10/index.html
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python -m pip install detectron2 -f \
-  https://dl.fbaipublicfiles.com/detectron2/wheels/cu111/torch1.10/index.html
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python -m pip install detectron2 -f \
-  https://dl.fbaipublicfiles.com/detectron2/wheels/cu111/torch1.9/index.html
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python -m pip install detectron2 -f \
-  https://dl.fbaipublicfiles.com/detectron2/wheels/cu111/torch1.8/index.html
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python -m pip install detectron2 -f \
-  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.10/index.html
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python -m pip install detectron2 -f \
-  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.9/index.html
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python -m pip install detectron2 -f \
-  https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.8/index.html
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10.1
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python -m pip install detectron2 -f \
-  https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.8/index.html
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cpu
install
python -m pip install detectron2 -f \
-  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.10/index.html
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install
python -m pip install detectron2 -f \
-  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.9/index.html
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install
python -m pip install detectron2 -f \
-  https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.8/index.html
-
- -Note that: -1. The pre-built packages have to be used with corresponding version of CUDA and the official package of PyTorch. - Otherwise, please build detectron2 from source. -2. New packages are released every few months. Therefore, packages may not contain latest features in the main - branch and may not be compatible with the main branch of a research project that uses detectron2 - (e.g. those in [projects](projects)). - -### Common Installation Issues - -Click each issue for its solutions: - -
- -Undefined symbols that looks like "TH..","at::Tensor...","torch..." - -
- -This usually happens when detectron2 or torchvision is not -compiled with the version of PyTorch you're running. - -If the error comes from a pre-built torchvision, uninstall torchvision and pytorch and reinstall them -following [pytorch.org](http://pytorch.org). So the versions will match. - -If the error comes from a pre-built detectron2, check [release notes](https://github.com/facebookresearch/detectron2/releases), -uninstall and reinstall the correct pre-built detectron2 that matches pytorch version. - -If the error comes from detectron2 or torchvision that you built manually from source, -remove files you built (`build/`, `**/*.so`) and rebuild it so it can pick up the version of pytorch currently in your environment. - -If the above instructions do not resolve this problem, please provide an environment (e.g. a dockerfile) that can reproduce the issue. -
- -
- -Missing torch dynamic libraries, OR segmentation fault immediately when using detectron2. - -This usually happens when detectron2 or torchvision is not -compiled with the version of PyTorch you're running. See the previous common issue for the solution. -
- -
- -Undefined C++ symbols (e.g. "GLIBCXX..") or C++ symbols not found. - -
-Usually it's because the library is compiled with a newer C++ compiler but run with an old C++ runtime. - -This often happens with old anaconda. -It may help to run `conda update libgcc` to upgrade its runtime. - -The fundamental solution is to avoid the mismatch, either by compiling using older version of C++ -compiler, or run the code with proper C++ runtime. -To run the code with a specific C++ runtime, you can use environment variable `LD_PRELOAD=/path/to/libstdc++.so`. - -
- -
- -"nvcc not found" or "Not compiled with GPU support" or "Detectron2 CUDA Compiler: not available". - -
-CUDA is not found when building detectron2. -You should make sure - -``` -python -c 'import torch; from torch.utils.cpp_extension import CUDA_HOME; print(torch.cuda.is_available(), CUDA_HOME)' -``` - -print `(True, a directory with cuda)` at the time you build detectron2. - -Most models can run inference (but not training) without GPU support. To use CPUs, set `MODEL.DEVICE='cpu'` in the config. -
- -
- -"invalid device function" or "no kernel image is available for execution". - -
-Two possibilities: - -* You build detectron2 with one version of CUDA but run it with a different version. - - To check whether it is the case, - use `python -m detectron2.utils.collect_env` to find out inconsistent CUDA versions. - In the output of this command, you should expect "Detectron2 CUDA Compiler", "CUDA_HOME", "PyTorch built with - CUDA" - to contain cuda libraries of the same version. - - When they are inconsistent, - you need to either install a different build of PyTorch (or build by yourself) - to match your local CUDA installation, or install a different version of CUDA to match PyTorch. - -* PyTorch/torchvision/Detectron2 is not built for the correct GPU SM architecture (aka. compute capability). - - The architecture included by PyTorch/detectron2/torchvision is available in the "architecture flags" in - `python -m detectron2.utils.collect_env`. It must include - the architecture of your GPU, which can be found at [developer.nvidia.com/cuda-gpus](https://developer.nvidia.com/cuda-gpus). - - If you're using pre-built PyTorch/detectron2/torchvision, they have included support for most popular GPUs already. - If not supported, you need to build them from source. - - When building detectron2/torchvision from source, they detect the GPU device and build for only the device. - This means the compiled code may not work on a different GPU device. - To recompile them for the correct architecture, remove all installed/compiled files, - and rebuild them with the `TORCH_CUDA_ARCH_LIST` environment variable set properly. - For example, `export TORCH_CUDA_ARCH_LIST="6.0;7.0"` makes it compile for both P100s and V100s. -
- -
- -Undefined CUDA symbols; Cannot open libcudart.so - -
-The version of NVCC you use to build detectron2 or torchvision does -not match the version of CUDA you are running with. -This often happens when using anaconda's CUDA runtime. - -Use `python -m detectron2.utils.collect_env` to find out inconsistent CUDA versions. -In the output of this command, you should expect "Detectron2 CUDA Compiler", "CUDA_HOME", "PyTorch built with - CUDA" -to contain cuda libraries of the same version. - -When they are inconsistent, -you need to either install a different build of PyTorch (or build by yourself) -to match your local CUDA installation, or install a different version of CUDA to match PyTorch. -
- - -
- -C++ compilation errors from NVCC / NVRTC, or "Unsupported gpu architecture" - -
-A few possibilities: - -1. Local CUDA/NVCC version has to match the CUDA version of your PyTorch. Both can be found in `python collect_env.py` - (download from [here](./detectron2/utils/collect_env.py)). - When they are inconsistent, you need to either install a different build of PyTorch (or build by yourself) - to match your local CUDA installation, or install a different version of CUDA to match PyTorch. - -2. Local CUDA/NVCC version shall support the SM architecture (a.k.a. compute capability) of your GPU. - The capability of your GPU can be found at [developer.nvidia.com/cuda-gpus](https://developer.nvidia.com/cuda-gpus). - The capability supported by NVCC is listed at [here](https://gist.github.com/ax3l/9489132). - If your NVCC version is too old, this can be workaround by setting environment variable - `TORCH_CUDA_ARCH_LIST` to a lower, supported capability. - -3. The combination of NVCC and GCC you use is incompatible. You need to change one of their versions. - See [here](https://gist.github.com/ax3l/9489132) for some valid combinations. - Notably, CUDA<=10.1.105 doesn't support GCC>7.3. - - The CUDA/GCC version used by PyTorch can be found by `print(torch.__config__.show())`. - -
- - -
- -"ImportError: cannot import name '_C'". - -
-Please build and install detectron2 following the instructions above. - -Or, if you are running code from detectron2's root directory, `cd` to a different one. -Otherwise you may not import the code that you installed. -
- - -
- -Any issue on windows. - -
- -Detectron2 is continuously built on windows with [CircleCI](https://app.circleci.com/pipelines/github/facebookresearch/detectron2?branch=main). -However we do not provide official support for it. -PRs that improves code compatibility on windows are welcome. -
- -
- -ONNX conversion segfault after some "TraceWarning". - -
-The ONNX package is compiled with a too old compiler. - -Please build and install ONNX from its source code using a compiler -whose version is closer to what's used by PyTorch (available in `torch.__config__.show()`). -
- - -
- -"library not found for -lstdc++" on older version of MacOS - -
- -See [this stackoverflow answer](https://stackoverflow.com/questions/56083725/macos-build-issues-lstdc-not-found-while-building-python-package). - -
- - -### Installation inside specific environments: - -* __Colab__: see our [Colab Tutorial](https://colab.research.google.com/drive/16jcaJoc6bCFAQ96jDe2HwtXj7BMD_-m5) - which has step-by-step instructions. - -* __Docker__: The official [Dockerfile](docker) installs detectron2 with a few simple commands. diff --git a/spaces/carlosalonso/Detection-video/carpeta_deteccion/projects/DensePose/densepose/modeling/roi_heads/roi_head.py b/spaces/carlosalonso/Detection-video/carpeta_deteccion/projects/DensePose/densepose/modeling/roi_heads/roi_head.py deleted file mode 100644 index 8f9d9a612645b06c04648c2be4d556e3467204a9..0000000000000000000000000000000000000000 --- a/spaces/carlosalonso/Detection-video/carpeta_deteccion/projects/DensePose/densepose/modeling/roi_heads/roi_head.py +++ /dev/null @@ -1,221 +0,0 @@ -# Copyright (c) Facebook, Inc. and its affiliates. - -import numpy as np -from typing import Dict, List, Optional -import fvcore.nn.weight_init as weight_init -import torch -import torch.nn as nn -from torch.nn import functional as F - -from detectron2.layers import Conv2d, ShapeSpec, get_norm -from detectron2.modeling import ROI_HEADS_REGISTRY, StandardROIHeads -from detectron2.modeling.poolers import ROIPooler -from detectron2.modeling.roi_heads import select_foreground_proposals -from detectron2.structures import ImageList, Instances - -from .. import ( - build_densepose_data_filter, - build_densepose_embedder, - build_densepose_head, - build_densepose_losses, - build_densepose_predictor, - densepose_inference, -) - - -class Decoder(nn.Module): - """ - A semantic segmentation head described in detail in the Panoptic Feature Pyramid Networks paper - (https://arxiv.org/abs/1901.02446). It takes FPN features as input and merges information from - all levels of the FPN into single output. - """ - - def __init__(self, cfg, input_shape: Dict[str, ShapeSpec], in_features): - super(Decoder, self).__init__() - - # fmt: off - self.in_features = in_features - feature_strides = {k: v.stride for k, v in input_shape.items()} - feature_channels = {k: v.channels for k, v in input_shape.items()} - num_classes = cfg.MODEL.ROI_DENSEPOSE_HEAD.DECODER_NUM_CLASSES - conv_dims = cfg.MODEL.ROI_DENSEPOSE_HEAD.DECODER_CONV_DIMS - self.common_stride = cfg.MODEL.ROI_DENSEPOSE_HEAD.DECODER_COMMON_STRIDE - norm = cfg.MODEL.ROI_DENSEPOSE_HEAD.DECODER_NORM - # fmt: on - - self.scale_heads = [] - for in_feature in self.in_features: - head_ops = [] - head_length = max( - 1, int(np.log2(feature_strides[in_feature]) - np.log2(self.common_stride)) - ) - for k in range(head_length): - conv = Conv2d( - feature_channels[in_feature] if k == 0 else conv_dims, - conv_dims, - kernel_size=3, - stride=1, - padding=1, - bias=not norm, - norm=get_norm(norm, conv_dims), - activation=F.relu, - ) - weight_init.c2_msra_fill(conv) - head_ops.append(conv) - if feature_strides[in_feature] != self.common_stride: - head_ops.append( - nn.Upsample(scale_factor=2, mode="bilinear", align_corners=False) - ) - self.scale_heads.append(nn.Sequential(*head_ops)) - self.add_module(in_feature, self.scale_heads[-1]) - self.predictor = Conv2d(conv_dims, num_classes, kernel_size=1, stride=1, padding=0) - weight_init.c2_msra_fill(self.predictor) - - def forward(self, features: List[torch.Tensor]): - for i, _ in enumerate(self.in_features): - if i == 0: - x = self.scale_heads[i](features[i]) - else: - x = x + self.scale_heads[i](features[i]) - x = self.predictor(x) - return x - - -@ROI_HEADS_REGISTRY.register() -class DensePoseROIHeads(StandardROIHeads): - """ - A Standard ROIHeads which contains an addition of DensePose head. - """ - - def __init__(self, cfg, input_shape): - super().__init__(cfg, input_shape) - self._init_densepose_head(cfg, input_shape) - - def _init_densepose_head(self, cfg, input_shape): - # fmt: off - self.densepose_on = cfg.MODEL.DENSEPOSE_ON - if not self.densepose_on: - return - self.densepose_data_filter = build_densepose_data_filter(cfg) - dp_pooler_resolution = cfg.MODEL.ROI_DENSEPOSE_HEAD.POOLER_RESOLUTION - dp_pooler_sampling_ratio = cfg.MODEL.ROI_DENSEPOSE_HEAD.POOLER_SAMPLING_RATIO - dp_pooler_type = cfg.MODEL.ROI_DENSEPOSE_HEAD.POOLER_TYPE - self.use_decoder = cfg.MODEL.ROI_DENSEPOSE_HEAD.DECODER_ON - # fmt: on - if self.use_decoder: - dp_pooler_scales = (1.0 / input_shape[self.in_features[0]].stride,) - else: - dp_pooler_scales = tuple(1.0 / input_shape[k].stride for k in self.in_features) - in_channels = [input_shape[f].channels for f in self.in_features][0] - - if self.use_decoder: - self.decoder = Decoder(cfg, input_shape, self.in_features) - - self.densepose_pooler = ROIPooler( - output_size=dp_pooler_resolution, - scales=dp_pooler_scales, - sampling_ratio=dp_pooler_sampling_ratio, - pooler_type=dp_pooler_type, - ) - self.densepose_head = build_densepose_head(cfg, in_channels) - self.densepose_predictor = build_densepose_predictor( - cfg, self.densepose_head.n_out_channels - ) - self.densepose_losses = build_densepose_losses(cfg) - self.embedder = build_densepose_embedder(cfg) - - def _forward_densepose(self, features: Dict[str, torch.Tensor], instances: List[Instances]): - """ - Forward logic of the densepose prediction branch. - - Args: - features (dict[str, Tensor]): input data as a mapping from feature - map name to tensor. Axis 0 represents the number of images `N` in - the input data; axes 1-3 are channels, height, and width, which may - vary between feature maps (e.g., if a feature pyramid is used). - instances (list[Instances]): length `N` list of `Instances`. The i-th - `Instances` contains instances for the i-th input image, - In training, they can be the proposals. - In inference, they can be the predicted boxes. - - Returns: - In training, a dict of losses. - In inference, update `instances` with new fields "densepose" and return it. - """ - if not self.densepose_on: - return {} if self.training else instances - - features_list = [features[f] for f in self.in_features] - if self.training: - proposals, _ = select_foreground_proposals(instances, self.num_classes) - features_list, proposals = self.densepose_data_filter(features_list, proposals) - if len(proposals) > 0: - proposal_boxes = [x.proposal_boxes for x in proposals] - - if self.use_decoder: - # pyre-fixme[29]: `Union[nn.Module, torch.Tensor]` is not a - # function. - features_list = [self.decoder(features_list)] - - features_dp = self.densepose_pooler(features_list, proposal_boxes) - densepose_head_outputs = self.densepose_head(features_dp) - densepose_predictor_outputs = self.densepose_predictor(densepose_head_outputs) - densepose_loss_dict = self.densepose_losses( - proposals, densepose_predictor_outputs, embedder=self.embedder - ) - return densepose_loss_dict - else: - pred_boxes = [x.pred_boxes for x in instances] - - if self.use_decoder: - # pyre-fixme[29]: `Union[nn.Module, torch.Tensor]` is not a function. - features_list = [self.decoder(features_list)] - - features_dp = self.densepose_pooler(features_list, pred_boxes) - if len(features_dp) > 0: - densepose_head_outputs = self.densepose_head(features_dp) - densepose_predictor_outputs = self.densepose_predictor(densepose_head_outputs) - else: - densepose_predictor_outputs = None - - densepose_inference(densepose_predictor_outputs, instances) - return instances - - def forward( - self, - images: ImageList, - features: Dict[str, torch.Tensor], - proposals: List[Instances], - targets: Optional[List[Instances]] = None, - ): - instances, losses = super().forward(images, features, proposals, targets) - del targets, images - - if self.training: - losses.update(self._forward_densepose(features, instances)) - return instances, losses - - def forward_with_given_boxes( - self, features: Dict[str, torch.Tensor], instances: List[Instances] - ): - """ - Use the given boxes in `instances` to produce other (non-box) per-ROI outputs. - - This is useful for downstream tasks where a box is known, but need to obtain - other attributes (outputs of other heads). - Test-time augmentation also uses this. - - Args: - features: same as in `forward()` - instances (list[Instances]): instances to predict other outputs. Expect the keys - "pred_boxes" and "pred_classes" to exist. - - Returns: - instances (list[Instances]): - the same `Instances` objects, with extra - fields such as `pred_masks` or `pred_keypoints`. - """ - - instances = super().forward_with_given_boxes(features, instances) - instances = self._forward_densepose(features, instances) - return instances diff --git a/spaces/cccccch/VITS-fast-fine-tuning-DingZhen/download_model.py b/spaces/cccccch/VITS-fast-fine-tuning-DingZhen/download_model.py deleted file mode 100644 index 9f1ab59aa549afdf107bf2ff97d48149a87da6f4..0000000000000000000000000000000000000000 --- a/spaces/cccccch/VITS-fast-fine-tuning-DingZhen/download_model.py +++ /dev/null @@ -1,4 +0,0 @@ -from google.colab import files -files.download("./G_latest.pth") -files.download("./finetune_speaker.json") -files.download("./moegoe_config.json") \ No newline at end of file diff --git a/spaces/chendl/compositional_test/transformers/examples/legacy/seq2seq/utils.py b/spaces/chendl/compositional_test/transformers/examples/legacy/seq2seq/utils.py deleted file mode 100644 index d7cd84dedb287d54249f2b030fa3da06322b1aab..0000000000000000000000000000000000000000 --- a/spaces/chendl/compositional_test/transformers/examples/legacy/seq2seq/utils.py +++ /dev/null @@ -1,664 +0,0 @@ -# Copyright 2020 The HuggingFace Team. All rights reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import itertools -import json -import linecache -import math -import os -import pickle -import socket -from logging import getLogger -from pathlib import Path -from typing import Callable, Dict, Iterable, List, Tuple, Union - -import git -import numpy as np -import torch -import torch.distributed as dist -from rouge_score import rouge_scorer, scoring -from sacrebleu import corpus_bleu -from sentence_splitter import add_newline_to_end_of_each_sentence -from torch import nn -from torch.utils.data import Dataset, Sampler - -from transformers import BartTokenizer, EvalPrediction, PreTrainedTokenizer, T5Tokenizer -from transformers.models.bart.modeling_bart import shift_tokens_right -from transformers.utils import cached_property - - -try: - from fairseq.data.data_utils import batch_by_size - - FAIRSEQ_AVAILABLE = True -except (ImportError, ModuleNotFoundError): - FAIRSEQ_AVAILABLE = False - - -def label_smoothed_nll_loss(lprobs, target, epsilon, ignore_index=-100): - """From fairseq""" - if target.dim() == lprobs.dim() - 1: - target = target.unsqueeze(-1) - nll_loss = -lprobs.gather(dim=-1, index=target) - smooth_loss = -lprobs.sum(dim=-1, keepdim=True) - if ignore_index is not None: - pad_mask = target.eq(ignore_index) - nll_loss.masked_fill_(pad_mask, 0.0) - smooth_loss.masked_fill_(pad_mask, 0.0) - else: - nll_loss = nll_loss.squeeze(-1) - smooth_loss = smooth_loss.squeeze(-1) - - nll_loss = nll_loss.sum() # mean()? Scared to break other math. - smooth_loss = smooth_loss.sum() - eps_i = epsilon / lprobs.size(-1) - loss = (1.0 - epsilon) * nll_loss + eps_i * smooth_loss - return loss, nll_loss - - -def lmap(f: Callable, x: Iterable) -> List: - """list(map(f, x))""" - return list(map(f, x)) - - -def calculate_bleu(output_lns, refs_lns, **kwargs) -> dict: - """Uses sacrebleu's corpus_bleu implementation.""" - return {"bleu": round(corpus_bleu(output_lns, [refs_lns], **kwargs).score, 4)} - - -def build_compute_metrics_fn(task_name: str, tokenizer: PreTrainedTokenizer) -> Callable[[EvalPrediction], Dict]: - def non_pad_len(tokens: np.ndarray) -> int: - return np.count_nonzero(tokens != tokenizer.pad_token_id) - - def decode_pred(pred: EvalPrediction) -> Tuple[List[str], List[str]]: - pred_ids = pred.predictions - label_ids = pred.label_ids - pred_str = tokenizer.batch_decode(pred_ids, skip_special_tokens=True) - label_ids[label_ids == -100] = tokenizer.pad_token_id - label_str = tokenizer.batch_decode(label_ids, skip_special_tokens=True) - pred_str = lmap(str.strip, pred_str) - label_str = lmap(str.strip, label_str) - return pred_str, label_str - - def summarization_metrics(pred: EvalPrediction) -> Dict: - pred_str, label_str = decode_pred(pred) - rouge: Dict = calculate_rouge(pred_str, label_str) - summ_len = np.round(np.mean(lmap(non_pad_len, pred.predictions)), 1) - rouge.update({"gen_len": summ_len}) - return rouge - - def translation_metrics(pred: EvalPrediction) -> Dict: - pred_str, label_str = decode_pred(pred) - bleu: Dict = calculate_bleu(pred_str, label_str) - gen_len = np.round(np.mean(lmap(non_pad_len, pred.predictions)), 1) - bleu.update({"gen_len": gen_len}) - return bleu - - compute_metrics_fn = summarization_metrics if "summarization" in task_name else translation_metrics - return compute_metrics_fn - - -def trim_batch( - input_ids, - pad_token_id, - attention_mask=None, -): - """Remove columns that are populated exclusively by pad_token_id""" - keep_column_mask = input_ids.ne(pad_token_id).any(dim=0) - if attention_mask is None: - return input_ids[:, keep_column_mask] - else: - return (input_ids[:, keep_column_mask], attention_mask[:, keep_column_mask]) - - -class AbstractSeq2SeqDataset(Dataset): - def __init__( - self, - tokenizer, - data_dir, - max_source_length, - max_target_length, - type_path="train", - n_obs=None, - prefix="", - **dataset_kwargs, - ): - super().__init__() - self.src_file = Path(data_dir).joinpath(type_path + ".source") - self.tgt_file = Path(data_dir).joinpath(type_path + ".target") - self.len_file = Path(data_dir).joinpath(type_path + ".len") - if os.path.exists(self.len_file): - self.src_lens = pickle_load(self.len_file) - self.used_char_len = False - else: - self.src_lens = self.get_char_lens(self.src_file) - self.used_char_len = True - self.max_source_length = max_source_length - self.max_target_length = max_target_length - assert min(self.src_lens) > 0, f"found empty line in {self.src_file}" - self.tokenizer = tokenizer - self.prefix = prefix if prefix is not None else "" - - if n_obs is not None: - self.src_lens = self.src_lens[:n_obs] - self.pad_token_id = self.tokenizer.pad_token_id - self.dataset_kwargs = dataset_kwargs - dataset_kwargs.update({"add_prefix_space": True} if isinstance(self.tokenizer, BartTokenizer) else {}) - - def __len__(self): - return len(self.src_lens) - - @staticmethod - def get_char_lens(data_file): - return [len(x) for x in Path(data_file).open().readlines()] - - @cached_property - def tgt_lens(self): - """Length in characters of target documents""" - return self.get_char_lens(self.tgt_file) - - def make_sortish_sampler(self, batch_size, distributed=False, shuffle=True, **kwargs): - if distributed: - return DistributedSortishSampler(self, batch_size, shuffle=shuffle, **kwargs) - else: - return SortishSampler(self.src_lens, batch_size, shuffle=shuffle) - - def make_dynamic_sampler(self, max_tokens_per_batch=1024, **kwargs): - assert FAIRSEQ_AVAILABLE, "Dynamic batch size requires `pip install fairseq`" - assert not self.used_char_len, "You must call python make_len_file.py before calling make_dynamic_sampler" - sorted_indices = list(self.make_sortish_sampler(1024, shuffle=False)) - - def num_tokens_in_example(i): - return min(self.src_lens[i], self.max_target_length) - - # call fairseq cython function - batch_sampler: List[List[int]] = batch_by_size( - sorted_indices, - num_tokens_fn=num_tokens_in_example, - max_tokens=max_tokens_per_batch, - required_batch_size_multiple=64, - ) - shuffled_batches = [batch_sampler[i] for i in np.random.permutation(range(len(batch_sampler)))] - # move the largest batch to the front to OOM quickly (uses an approximation for padding) - approximate_toks_per_batch = [max(self.src_lens[i] for i in batch) * len(batch) for batch in shuffled_batches] - largest_batch_idx = np.argmax(approximate_toks_per_batch) - shuffled_batches[0], shuffled_batches[largest_batch_idx] = ( - shuffled_batches[largest_batch_idx], - shuffled_batches[0], - ) - return shuffled_batches - - def __getitem__(self, item): - raise NotImplementedError("You must implement this") - - def collate_fn(self, batch): - raise NotImplementedError("You must implement this") - - -class LegacySeq2SeqDataset(AbstractSeq2SeqDataset): - def __getitem__(self, index) -> Dict[str, torch.Tensor]: - """Call tokenizer on src and tgt_lines""" - index = index + 1 # linecache starts at 1 - source_line = self.prefix + linecache.getline(str(self.src_file), index).rstrip("\n") - tgt_line = linecache.getline(str(self.tgt_file), index).rstrip("\n") - assert source_line, f"empty source line for index {index}" - assert tgt_line, f"empty tgt line for index {index}" - source_inputs = self.encode_line(self.tokenizer, source_line, self.max_source_length) - target_inputs = self.encode_line(self.tokenizer, tgt_line, self.max_target_length) - - source_ids = source_inputs["input_ids"].squeeze() - target_ids = target_inputs["input_ids"].squeeze() - src_mask = source_inputs["attention_mask"].squeeze() - return { - "input_ids": source_ids, - "attention_mask": src_mask, - "labels": target_ids, - } - - def encode_line(self, tokenizer, line, max_length, pad_to_max_length=True, return_tensors="pt"): - """Only used by LegacyDataset""" - return tokenizer( - [line], - max_length=max_length, - padding="max_length" if pad_to_max_length else None, - truncation=True, - return_tensors=return_tensors, - **self.dataset_kwargs, - ) - - def collate_fn(self, batch) -> Dict[str, torch.Tensor]: - input_ids = torch.stack([x["input_ids"] for x in batch]) - masks = torch.stack([x["attention_mask"] for x in batch]) - target_ids = torch.stack([x["labels"] for x in batch]) - pad_token_id = self.pad_token_id - y = trim_batch(target_ids, pad_token_id) - source_ids, source_mask = trim_batch(input_ids, pad_token_id, attention_mask=masks) - batch = { - "input_ids": source_ids, - "attention_mask": source_mask, - "labels": y, - } - return batch - - -class Seq2SeqDataset(AbstractSeq2SeqDataset): - """A dataset that calls prepare_seq2seq_batch.""" - - def __getitem__(self, index) -> Dict[str, str]: - index = index + 1 # linecache starts at 1 - source_line = self.prefix + linecache.getline(str(self.src_file), index).rstrip("\n") - tgt_line = linecache.getline(str(self.tgt_file), index).rstrip("\n") - assert source_line, f"empty source line for index {index}" - assert tgt_line, f"empty tgt line for index {index}" - return {"tgt_texts": tgt_line, "src_texts": source_line, "id": index - 1} - - def collate_fn(self, batch) -> Dict[str, torch.Tensor]: - """Call prepare_seq2seq_batch.""" - batch_encoding: Dict[str, torch.Tensor] = self.tokenizer.prepare_seq2seq_batch( - [x["src_texts"] for x in batch], - tgt_texts=[x["tgt_texts"] for x in batch], - max_length=self.max_source_length, - max_target_length=self.max_target_length, - return_tensors="pt", - **self.dataset_kwargs, - ).data - batch_encoding["ids"] = torch.tensor([x["id"] for x in batch]) - return batch_encoding - - -class Seq2SeqDataCollator: - def __init__(self, tokenizer, data_args, decoder_start_token_id, tpu_num_cores=None): - self.tokenizer = tokenizer - self.pad_token_id = tokenizer.pad_token_id - self.decoder_start_token_id = decoder_start_token_id - assert ( - self.pad_token_id is not None - ), f"pad_token_id is not defined for ({self.tokenizer.__class__.__name__}), it must be defined." - self.data_args = data_args - self.tpu_num_cores = tpu_num_cores - self.dataset_kwargs = {"add_prefix_space": True} if isinstance(tokenizer, BartTokenizer) else {} - if data_args.src_lang is not None: - self.dataset_kwargs["src_lang"] = data_args.src_lang - if data_args.tgt_lang is not None: - self.dataset_kwargs["tgt_lang"] = data_args.tgt_lang - - def __call__(self, batch) -> Dict[str, torch.Tensor]: - if hasattr(self.tokenizer, "prepare_seq2seq_batch"): - batch = self._encode(batch) - input_ids, attention_mask, labels = ( - batch["input_ids"], - batch["attention_mask"], - batch["labels"], - ) - else: - input_ids = torch.stack([x["input_ids"] for x in batch]) - attention_mask = torch.stack([x["attention_mask"] for x in batch]) - labels = torch.stack([x["labels"] for x in batch]) - - labels = trim_batch(labels, self.pad_token_id) - input_ids, attention_mask = trim_batch(input_ids, self.pad_token_id, attention_mask=attention_mask) - - if isinstance(self.tokenizer, T5Tokenizer): - decoder_input_ids = self._shift_right_t5(labels) - else: - decoder_input_ids = shift_tokens_right(labels, self.pad_token_id, self.decoder_start_token_id) - - batch = { - "input_ids": input_ids, - "attention_mask": attention_mask, - "decoder_input_ids": decoder_input_ids, - "labels": labels, - } - return batch - - def _shift_right_t5(self, input_ids): - # shift inputs to the right - shifted_input_ids = input_ids.new_zeros(input_ids.shape) - shifted_input_ids[..., 1:] = input_ids[..., :-1].clone() - shifted_input_ids[..., 0] = self.pad_token_id - return shifted_input_ids - - def _encode(self, batch) -> Dict[str, torch.Tensor]: - batch_encoding = self.tokenizer.prepare_seq2seq_batch( - [x["src_texts"] for x in batch], - tgt_texts=[x["tgt_texts"] for x in batch], - max_length=self.data_args.max_source_length, - max_target_length=self.data_args.max_target_length, - padding="max_length" if self.tpu_num_cores is not None else "longest", # TPU hack - return_tensors="pt", - **self.dataset_kwargs, - ) - return batch_encoding.data - - -class SortishSampler(Sampler): - "Go through the text data by order of src length with a bit of randomness. From fastai repo." - - def __init__(self, data, batch_size, shuffle=True): - self.data, self.bs, self.shuffle = data, batch_size, shuffle - - def __len__(self) -> int: - return len(self.data) - - def __iter__(self): - return iter(sortish_sampler_indices(self.data, self.bs, shuffle=self.shuffle)) - - -def sortish_sampler_indices(data: List, bs: int, shuffle=True) -> np.array: - "Go through the text data by order of src length with a bit of randomness. From fastai repo." - if not shuffle: - return np.argsort(np.array(data) * -1) - - def key_fn(i): - return data[i] - - idxs = np.random.permutation(len(data)) - sz = bs * 50 - ck_idx = [idxs[i : i + sz] for i in range(0, len(idxs), sz)] - sort_idx = np.concatenate([sorted(s, key=key_fn, reverse=True) for s in ck_idx]) - sz = bs - ck_idx = [sort_idx[i : i + sz] for i in range(0, len(sort_idx), sz)] - max_ck = np.argmax([key_fn(ck[0]) for ck in ck_idx]) # find the chunk with the largest key, - ck_idx[0], ck_idx[max_ck] = ck_idx[max_ck], ck_idx[0] # then make sure it goes first. - sort_idx = np.concatenate(np.random.permutation(ck_idx[1:])) if len(ck_idx) > 1 else np.array([], dtype=int) - sort_idx = np.concatenate((ck_idx[0], sort_idx)) - return sort_idx - - -class DistributedSortishSampler(Sampler): - """Copied from torch DistributedSampler""" - - def __init__(self, dataset, batch_size, num_replicas=None, rank=None, add_extra_examples=True, shuffle=True): - if num_replicas is None: - if not dist.is_available(): - raise RuntimeError("Requires distributed package to be available") - num_replicas = dist.get_world_size() - if rank is None: - if not dist.is_available(): - raise RuntimeError("Requires distributed package to be available") - rank = dist.get_rank() - self.dataset = dataset - self.num_replicas = num_replicas - self.rank = rank - self.epoch = 0 - if add_extra_examples: - self.num_samples = int(math.ceil(len(self.dataset) * 1.0 / self.num_replicas)) - self.total_size = self.num_samples * self.num_replicas - else: - self.total_size = len(dataset) - self.num_samples = len(self.available_indices) - self.batch_size = batch_size - self.add_extra_examples = add_extra_examples - self.shuffle = shuffle - - def __iter__(self) -> Iterable: - g = torch.Generator() - g.manual_seed(self.epoch) - - sortish_data = [self.dataset.src_lens[i] for i in self.available_indices] - sortish_indices = sortish_sampler_indices(sortish_data, self.batch_size, shuffle=self.shuffle) - indices = [self.available_indices[i] for i in sortish_indices] - assert len(indices) == self.num_samples - return iter(indices) - - @cached_property - def available_indices(self) -> np.array: - indices = list(range(len(self.dataset))) - # add extra samples to make it evenly divisible - indices += indices[: (self.total_size - len(indices))] - assert len(indices) == self.total_size - # subsample - available_indices = indices[self.rank : self.total_size : self.num_replicas] - return available_indices - - def __len__(self): - return self.num_samples - - def set_epoch(self, epoch): - self.epoch = epoch - - -logger = getLogger(__name__) - - -def use_task_specific_params(model, task): - """Update config with summarization specific params.""" - task_specific_params = model.config.task_specific_params - - if task_specific_params is not None: - pars = task_specific_params.get(task, {}) - logger.info(f"setting model.config to task specific params for {task}:\n {pars}") - logger.info("note: command line args may override some of these") - model.config.update(pars) - - -def pickle_load(path): - """pickle.load(path)""" - with open(path, "rb") as f: - return pickle.load(f) - - -def pickle_save(obj, path): - """pickle.dump(obj, path)""" - with open(path, "wb") as f: - return pickle.dump(obj, f) - - -def flatten_list(summary_ids: List[List]): - return list(itertools.chain.from_iterable(summary_ids)) - - -def save_git_info(folder_path: str) -> None: - """Save git information to output_dir/git_log.json""" - repo_infos = get_git_info() - save_json(repo_infos, os.path.join(folder_path, "git_log.json")) - - -def save_json(content, path, indent=4, **json_dump_kwargs): - with open(path, "w") as f: - json.dump(content, f, indent=indent, sort_keys=True, **json_dump_kwargs) - - -def load_json(path): - with open(path) as f: - return json.load(f) - - -def get_git_info(): - try: - repo = git.Repo(search_parent_directories=True) - repo_infos = { - "repo_id": str(repo), - "repo_sha": str(repo.head.object.hexsha), - "repo_branch": str(repo.active_branch), - "hostname": str(socket.gethostname()), - } - return repo_infos - except TypeError: - return { - "repo_id": None, - "repo_sha": None, - "repo_branch": None, - "hostname": None, - } - - -ROUGE_KEYS = ["rouge1", "rouge2", "rougeL", "rougeLsum"] - - -def extract_rouge_mid_statistics(dct): - new_dict = {} - for k1, v1 in dct.items(): - mid = v1.mid - new_dict[k1] = {stat: round(getattr(mid, stat), 4) for stat in ["precision", "recall", "fmeasure"]} - return new_dict - - -def calculate_rouge( - pred_lns: List[str], - tgt_lns: List[str], - use_stemmer=True, - rouge_keys=ROUGE_KEYS, - return_precision_and_recall=False, - bootstrap_aggregation=True, - newline_sep=True, -) -> Dict: - """Calculate rouge using rouge_scorer package. - - Args: - pred_lns: list of summaries generated by model - tgt_lns: list of groundtruth summaries (e.g. contents of val.target) - use_stemmer: Bool indicating whether Porter stemmer should be used to - strip word suffixes to improve matching. - rouge_keys: which metrics to compute, defaults to rouge1, rouge2, rougeL, rougeLsum - return_precision_and_recall: (False) whether to also return precision and recall. - bootstrap_aggregation: whether to do the typical bootstrap resampling of scores. Defaults to True, if False - this function returns a collections.defaultdict[metric: list of values for each observation for each subscore]`` - newline_sep:(default=True) whether to add newline between sentences. This is essential for calculation rougeL - on multi sentence summaries (CNN/DM dataset). - - Returns: - Dict[score: value] if aggregate else defaultdict(list) keyed by rouge_keys - - """ - scorer = rouge_scorer.RougeScorer(rouge_keys, use_stemmer=use_stemmer) - aggregator = scoring.BootstrapAggregator() - for pred, tgt in zip(tgt_lns, pred_lns): - # rougeLsum expects "\n" separated sentences within a summary - if newline_sep: - pred = add_newline_to_end_of_each_sentence(pred) - tgt = add_newline_to_end_of_each_sentence(tgt) - scores = scorer.score(pred, tgt) - aggregator.add_scores(scores) - - if bootstrap_aggregation: - result = aggregator.aggregate() - if return_precision_and_recall: - return extract_rouge_mid_statistics(result) # here we return dict - else: - return {k: round(v.mid.fmeasure * 100, 4) for k, v in result.items()} - - else: - return aggregator._scores # here we return defaultdict(list) - - -# Utilities for freezing parameters and checking whether they are frozen - - -def freeze_params(model: nn.Module): - """Set requires_grad=False for each of model.parameters()""" - for par in model.parameters(): - par.requires_grad = False - - -def freeze_embeds(model): - """Freeze token embeddings and positional embeddings for bart, just token embeddings for t5.""" - model_type = model.config.model_type - - if model_type in ["t5", "mt5"]: - freeze_params(model.shared) - for d in [model.encoder, model.decoder]: - freeze_params(d.embed_tokens) - elif model_type == "fsmt": - for d in [model.model.encoder, model.model.decoder]: - freeze_params(d.embed_positions) - freeze_params(d.embed_tokens) - else: - freeze_params(model.model.shared) - for d in [model.model.encoder, model.model.decoder]: - freeze_params(d.embed_positions) - freeze_params(d.embed_tokens) - - -def grad_status(model: nn.Module) -> Iterable: - return (par.requires_grad for par in model.parameters()) - - -def any_requires_grad(model: nn.Module) -> bool: - return any(grad_status(model)) - - -def assert_all_frozen(model): - model_grads: List[bool] = list(grad_status(model)) - n_require_grad = sum(lmap(int, model_grads)) - npars = len(model_grads) - assert not any(model_grads), f"{n_require_grad/npars:.1%} of {npars} weights require grad" - - -def assert_not_all_frozen(model): - model_grads: List[bool] = list(grad_status(model)) - npars = len(model_grads) - assert any(model_grads), f"none of {npars} weights require grad" - - -def parse_numeric_n_bool_cl_kwargs(unparsed_args: List[str]) -> Dict[str, Union[int, float, bool]]: - """ - Parse an argv list of unspecified command line args to a dict. - Assumes all values are either numeric or boolean in the form of true/false. - """ - result = {} - assert len(unparsed_args) % 2 == 0, f"got odd number of unparsed args: {unparsed_args}" - num_pairs = len(unparsed_args) // 2 - for pair_num in range(num_pairs): - i = 2 * pair_num - assert unparsed_args[i].startswith("--") - if unparsed_args[i + 1].lower() == "true": - value = True - elif unparsed_args[i + 1].lower() == "false": - value = False - else: - try: - value = int(unparsed_args[i + 1]) - except ValueError: - value = float(unparsed_args[i + 1]) # this can raise another informative ValueError - - result[unparsed_args[i][2:]] = value - return result - - -def write_txt_file(ordered_tgt, path): - f = Path(path).open("w") - for ln in ordered_tgt: - f.write(ln + "\n") - f.flush() - - -def chunks(lst, n): - """Yield successive n-sized chunks from lst.""" - for i in range(0, len(lst), n): - yield lst[i : i + n] - - -def check_output_dir(args, expected_items=0): - """ - Checks whether to bail out if output_dir already exists and has more than expected_items in it - - `args`: needs to have the following attributes of `args`: - - output_dir - - do_train - - overwrite_output_dir - - `expected_items`: normally 0 (default) - i.e. empty dir, but in some cases a few files are expected (e.g. recovery from OOM) - """ - if ( - os.path.exists(args.output_dir) - and len(os.listdir(args.output_dir)) > expected_items - and args.do_train - and not args.overwrite_output_dir - ): - raise ValueError( - f"Output directory ({args.output_dir}) already exists and " - f"has {len(os.listdir(args.output_dir))} items in it (expected {expected_items} items). " - "Use --overwrite_output_dir to overcome." - ) diff --git a/spaces/chendl/compositional_test/transformers/examples/research_projects/information-gain-filtration/run_clm_igf.py b/spaces/chendl/compositional_test/transformers/examples/research_projects/information-gain-filtration/run_clm_igf.py deleted file mode 100644 index c1584a2f89adc19472484c9624a6612d343cd537..0000000000000000000000000000000000000000 --- a/spaces/chendl/compositional_test/transformers/examples/research_projects/information-gain-filtration/run_clm_igf.py +++ /dev/null @@ -1,445 +0,0 @@ -# Copyright 2022 - Intel Corp. All rights reserved. -# Authors: Mayank Kumar Raunak, Javier Turek, Nicole Beckage - -""" -Implementation of a new method for fine-tuning transformer models that we call -Information Gain Filtration 'IGF' on WikiText data set and compared the results -with the standard fine-tuning method - -Steps followed in the code: - -1) Generate a objective dataset of pairs (X, IG(X)). IG(X)--Informativeness of context 'X'. -Our IG (information gain) model is learning to predict the ‘informativeness’ of a particular -context. Informativeness is the change in metric between the model’s accuracy on an -objective set before and after seeing that context. For casual language modeling, the -metric is perplexity. - -2) A secondary learner is trained to infer a function approximation for IG using the dataset -created in (1). - -3) The learner created in (2) is used to inform the fine-tuning process and filter out low informative samples. - -Last, a plot is generated to compare the performance of IGF to standard fine-tuning without any filtering - -""" - -# Prerequisite libraries: - -import argparse -import random - -import joblib -import numpy as np -import torch -from igf.igf import ( - SecondaryLearner, - collect_objective_set, - compute_perplexity, - generate_datasets, - load_gpt2, - recopy_gpt2, - set_seed, - train_secondary_learner, -) -from torch.utils.data import DataLoader, RandomSampler - -from transformers import GPT2LMHeadModel - - -def generate_n_pairs( - context_len=32, - max_steps=10, - size_objective_set=100, - min_len=1026, - trim=True, - data_file="data/tokenized_stories_train_wikitext103.jbl", - igf_data_file="igf_context_pairs.jbl", -): - """ - Collecting *n* pairs for training the secondary learner - Args: - context_len: The maximum total input sequence length after tokenization. Sequences longer - than this will be truncated, sequences shorter will be padded - max_steps: To calculate training epochs of secondary learner - size_objective_set: size of objective data set used to create (X,IG(X)) pairs which is the training data for secondary learner - min_len: The minimum length of the article to be used as objective set - trim: If True truncate the context if it exceeds context length - data_file: Tokenized data set split for training and evaluation of model - igf_data_file: file to store (I,IG(X)) paired data set to train secondary learner - - Returns: - Data stored in igf_data_file - - """ - # generates same data everytime - set_seed(3) - # generate train_data and objective_set - train_data, objective_set = generate_datasets( - context_len, data_file, number=size_objective_set, min_len=1026, trim=True - ) - # keeps model same across runs - set_seed(4) - # model, lm_optimizer, lm_scheduler = recopy_gpt2(model, device, max_steps) # store original model weights - # can we train on GPU? - device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") - - # load pretrained model - model = load_gpt2("gpt2").to(device) - print("computing perplexity on objective set") - orig_perp = compute_perplexity(model, objective_set, context_len).item() - print("perplexity on objective set:", orig_perp) - - # collect igf pairs and save to file demo.jbl - collect_objective_set(model, orig_perp, context_len, train_data, objective_set, max_steps, device, igf_data_file) - - # clean up, delete model and data we don't need anymore - del model, train_data, objective_set - torch.cuda.empty_cache() - - -def training_secondary_learner( - secondary_learner_train_data, - secondary_learner_max_epochs=15, - secondary_learner_batch_size=128, - eval_freq=100, - igf_model_path="igf_model.pt", -): - """ - Train the secondary learner - - Args: - secondary_learner_train_data: Data set with (X,IG(X)) pairs to train secondary learner where IG(X) - measure of informativeness and X- context - secondary_learner_max_epochs: Number of epochs to train secondary learner - secondary_learner_batch_size: Batch size to train secondary learner - eval_freq (object): secondary model evaluation can be triggered at eval_freq - igf_model_path: path to store trained secondary learner - - Returns: - Trained secondary learner - """ - - set_seed(42) - - # Load pre-trained model - model = GPT2LMHeadModel.from_pretrained("gpt2") - - # Initialize secondary learner to use embedding weights of model - secondary_learner = SecondaryLearner(model) - - # Train secondary learner - secondary_learner = train_secondary_learner( - secondary_learner, - secondary_learner_train_data, - max_epochs=secondary_learner_max_epochs, - batch_size=secondary_learner_batch_size, - eval_freq=100, - igf_model_path=igf_model_path, - ) - - del model, secondary_learner_train_data - torch.cuda.empty_cache() - - return secondary_learner - - -def finetune( - model, - train_dataset, - test_dataset, - context_len=32, - max_steps=1000, - batch_size=16, - threshold=1.0, - recopy_model=recopy_gpt2, - secondary_learner=None, - eval_interval=10, - finetuned_model_name="gpt2_finetuned.pt", -): - """ - fine-tune with IGF if secondary_learner is not None, else standard fine-tuning - - Args: - model: pre-trained GPT-2 model - train_dataset: Data set to train GPT-2 model - test_dataset: Evaluate GPT-2 model - context_len: The maximum total input sequence length after tokenization. Sequences longer - than this will be truncated, sequences shorter will be padded - max_steps: To calculate training epochs - batch_size: Batch size to train GPT-2 model - threshold: The threshold value used by secondary learner to filter the train_data and allow only" - informative data as input to the model - recopy_model: Reset the model to the original pretrained GPT-2 weights after each iteration - secondary_learner: Selection of IGF as fine-tuning method if not None - eval_interval: number of batches after which decay the selectivity of our secondary learner filter from - 1 standard deviation above average to 1 below average - fine-tuned_model_name: name of the final final-tuned GPT-2 model - - Returns: - Fine-tuned GPT-2 model - - """ - - device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") - train_sampler = RandomSampler(train_dataset) - train_dataloader = DataLoader(train_dataset, sampler=train_sampler) - - num_train_epochs = max_steps // (len(train_dataset)) + 1 - global_step = 0 - context = torch.zeros((1, context_len), dtype=torch.long, device=device) - model, lm_optimizer, lm_scheduler = recopy_model(model, device, max_steps) - - model.train() - if secondary_learner is not None: - secondary_learner.to(device) - secondary_learner.eval() - contexts = [] - examples = 0 - - observed_qs = [] - test_perps = [] - - # Compute the performance of the transformer model at the beginning - real_perp = compute_perplexity(model, test_dataset, context_len) - test_perps.append(real_perp) - print("Test perplexity, step", global_step, ":", real_perp) - for epoch in range(int(num_train_epochs)): - for step, example in enumerate(train_dataloader): - torch.cuda.empty_cache() - start = random.randint(0, example.size(2) - context_len - 1) - context[0, :] = example[0, 0, start : start + context_len] - lm_optimizer.zero_grad() - outputs = model(context, labels=context) - do_backprop = True - - if secondary_learner is not None: - predicted_q = secondary_learner.forward( - torch.tensor(context, dtype=torch.long, device=device).unsqueeze(0) - )[0].item() - observed_qs.append(float(predicted_q)) - - # Here we implement the simple non-constant threshold for the predicted IG(X) value - # We will decay the selectivity of our secondary learner filter from - # 1 standard deviation above average to 1 below average after 10 batches. - - if global_step == 10: - threshold = -1 - if predicted_q < threshold: - do_backprop = False - - # If we passed the filter, add the context to the batch! - if do_backprop: - contexts.append(np.array(context.cpu())) - lm_loss = outputs[0] - lm_loss.backward() - examples += 1 - - del outputs - - # Once the batch is filled with enough contexts, backprop on the batch. - if examples == batch_size: - torch.cuda.empty_cache() - examples = 0 - # Do LM backprop - torch.nn.utils.clip_grad_norm_(model.parameters(), 3.0) - lm_optimizer.step() - lm_scheduler.step() # Update learning rate schedule - global_step += 1 - # Compute the performance of the transformer model at this batch - if global_step % eval_interval == 0: - real_perp = compute_perplexity(model, test_dataset, context_len) - test_perps.append(real_perp) - - print("Test perplexity, step", global_step, ":", real_perp) - # Break out of the loop after 60 batches - if max_steps > 0 and global_step > 60: - break - if max_steps > 0 and global_step > 60: - break - - # save finetuned transformer model - torch.save(model.state_dict(), finetuned_model_name) - torch.cuda.empty_cache() - # Do some cleaning up so we can reinitialize for the next run of this function - del lm_optimizer - del lm_scheduler - return model - - -def main(): - parser = argparse.ArgumentParser(description="Fine-tune a transformer model with IGF on a language modeling task") - - # Required parameters - parser.add_argument( - "--data_dir", - default=None, - type=str, - required=True, - help="The input data dir. Should contain data files for WikiText.", - ) - parser.add_argument( - "--model_name_or_path", - default=None, - type=str, - required=True, - help="Path to pretrained model or model identifier from huggingface.co/models", - ) - parser.add_argument( - "--data_file", - type=str, - default=None, - help=( - "A jbl file containing tokenized data which can be split as objective dataset, " - "train_dataset and test_dataset." - ), - ) - - parser.add_argument( - "--igf_data_file", - type=str, - default=None, - help="A jbl file containing the context and information gain pairs to train secondary learner.", - ) - - parser.add_argument( - "--output_dir", - default=None, - type=str, - required=True, - help="The output directory where the final fine-tuned model is stored.", - ) - - parser.add_argument( - "--tokenizer_name", - default=None, - type=str, - help="Pretrained tokenizer name or path if not the same as model_name", - ) - parser.add_argument("--seed", type=int, default=None, help="A seed for reproducible training.") - - parser.add_argument( - "--context_len", - default=32, - type=int, - help=( - "The maximum total input sequence length after tokenization. Sequences longer " - "than this will be truncated, sequences shorter will be padded." - ), - ) - - parser.add_argument( - "--size_objective_set", - default=100, - type=int, - help="number of articles that are long enough to be used as our objective set", - ) - parser.add_argument( - "--eval_freq", default=100, type=int, help="secondary model evaluation is triggered at eval_freq" - ) - - parser.add_argument("--max_steps", default=1000, type=int, help="To calculate training epochs") - - parser.add_argument( - "--secondary_learner_batch_size", - default=128, - type=int, - help="batch size of training data for secondary learner", - ) - - parser.add_argument( - "--batch_size", default=16, type=int, help="batch size of training data of language model(gpt2) " - ) - - parser.add_argument( - "--eval_interval", - default=10, - type=int, - help=( - "decay the selectivity of our secondary learner filter from" - "1 standard deviation above average to 1 below average after 10 batches" - ), - ) - - parser.add_argument( - "--number", default=100, type=int, help="The number of examples split to be used as objective_set/test_data" - ) - - parser.add_argument( - "--min_len", default=1026, type=int, help="The minimum length of the article to be used as objective set" - ) - - parser.add_argument( - "--secondary_learner_max_epochs", default=15, type=int, help="number of epochs to train secondary learner" - ) - - parser.add_argument("--trim", default=True, type=bool, help="truncate the example if it exceeds context length") - - parser.add_argument( - "--threshold", - default=1.0, - type=float, - help=( - "The threshold value used by secondary learner to filter the train_data and allow only" - " informative data as input to the model" - ), - ) - - parser.add_argument("--finetuned_model_name", default="gpt2_finetuned.pt", type=str, help="finetuned_model_name") - - parser.add_argument( - "--recopy_model", - default=recopy_gpt2, - type=str, - help="Reset the model to the original pretrained GPT-2 weights after each iteration", - ) - - # function calls - # Collecting *n* pairs of context and information gain(X, IG(X)) for training the secondary learner - generate_n_pairs( - context_len=32, - max_steps=10, - size_objective_set=100, - min_len=1026, - trim=True, - data_file="data/tokenized_stories_train_wikitext103.jbl", - igf_data_file="igf_context_pairs.jbl", - ) - - # Load train data for secondary learner - secondary_learner_train_data = joblib.load("data/IGF_values.jbl") - - # Train secondary learner - secondary_learner = training_secondary_learner( - secondary_learner_train_data, - secondary_learner_max_epochs=15, - secondary_learner_batch_size=128, - eval_freq=100, - igf_model_path="igf_model.pt", - ) - - # load pretrained gpt2 model - model = GPT2LMHeadModel.from_pretrained("gpt2") - set_seed(42) - - # Generate train and test data to train and evaluate gpt2 model - train_dataset, test_dataset = generate_datasets( - context_len=32, file="data/tokenized_stories_train_wikitext103.jbl", number=100, min_len=1026, trim=True - ) - - # fine-tuning of the gpt2 model using igf (Information Gain Filtration) - finetune( - model, - train_dataset, - test_dataset, - context_len=32, - max_steps=1000, - batch_size=16, - threshold=1.0, - recopy_model=recopy_gpt2, - secondary_learner=secondary_learner, - eval_interval=10, - finetuned_model_name="gpt2_finetuned.pt", - ) - - -if __name__ == "__main__": - main() diff --git a/spaces/chendl/compositional_test/transformers/examples/research_projects/movement-pruning/masked_run_squad.py b/spaces/chendl/compositional_test/transformers/examples/research_projects/movement-pruning/masked_run_squad.py deleted file mode 100644 index 189ed5be6707b314174fdd26b1d0ff4996f88355..0000000000000000000000000000000000000000 --- a/spaces/chendl/compositional_test/transformers/examples/research_projects/movement-pruning/masked_run_squad.py +++ /dev/null @@ -1,1148 +0,0 @@ -# coding=utf-8 -# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team. -# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -""" Fine-pruning Masked BERT for question-answering on SQuAD.""" - - -import argparse -import glob -import logging -import os -import random -import timeit - -import numpy as np -import torch -from emmental import MaskedBertConfig, MaskedBertForQuestionAnswering -from torch import nn -from torch.utils.data import DataLoader, RandomSampler, SequentialSampler -from torch.utils.data.distributed import DistributedSampler -from tqdm import tqdm, trange - -from transformers import ( - WEIGHTS_NAME, - AdamW, - BertConfig, - BertForQuestionAnswering, - BertTokenizer, - get_linear_schedule_with_warmup, - squad_convert_examples_to_features, -) -from transformers.data.metrics.squad_metrics import ( - compute_predictions_log_probs, - compute_predictions_logits, - squad_evaluate, -) -from transformers.data.processors.squad import SquadResult, SquadV1Processor, SquadV2Processor - - -try: - from torch.utils.tensorboard import SummaryWriter -except ImportError: - from tensorboardX import SummaryWriter - - -logger = logging.getLogger(__name__) - -MODEL_CLASSES = { - "bert": (BertConfig, BertForQuestionAnswering, BertTokenizer), - "masked_bert": (MaskedBertConfig, MaskedBertForQuestionAnswering, BertTokenizer), -} - - -def set_seed(args): - random.seed(args.seed) - np.random.seed(args.seed) - torch.manual_seed(args.seed) - if args.n_gpu > 0: - torch.cuda.manual_seed_all(args.seed) - - -def schedule_threshold( - step: int, - total_step: int, - warmup_steps: int, - initial_threshold: float, - final_threshold: float, - initial_warmup: int, - final_warmup: int, - final_lambda: float, -): - if step <= initial_warmup * warmup_steps: - threshold = initial_threshold - elif step > (total_step - final_warmup * warmup_steps): - threshold = final_threshold - else: - spars_warmup_steps = initial_warmup * warmup_steps - spars_schedu_steps = (final_warmup + initial_warmup) * warmup_steps - mul_coeff = 1 - (step - spars_warmup_steps) / (total_step - spars_schedu_steps) - threshold = final_threshold + (initial_threshold - final_threshold) * (mul_coeff**3) - regu_lambda = final_lambda * threshold / final_threshold - return threshold, regu_lambda - - -def regularization(model: nn.Module, mode: str): - regu, counter = 0, 0 - for name, param in model.named_parameters(): - if "mask_scores" in name: - if mode == "l1": - regu += torch.norm(torch.sigmoid(param), p=1) / param.numel() - elif mode == "l0": - regu += torch.sigmoid(param - 2 / 3 * np.log(0.1 / 1.1)).sum() / param.numel() - else: - ValueError("Don't know this mode.") - counter += 1 - return regu / counter - - -def to_list(tensor): - return tensor.detach().cpu().tolist() - - -def train(args, train_dataset, model, tokenizer, teacher=None): - """Train the model""" - if args.local_rank in [-1, 0]: - tb_writer = SummaryWriter(log_dir=args.output_dir) - - args.train_batch_size = args.per_gpu_train_batch_size * max(1, args.n_gpu) - train_sampler = RandomSampler(train_dataset) if args.local_rank == -1 else DistributedSampler(train_dataset) - train_dataloader = DataLoader(train_dataset, sampler=train_sampler, batch_size=args.train_batch_size) - - if args.max_steps > 0: - t_total = args.max_steps - args.num_train_epochs = args.max_steps // (len(train_dataloader) // args.gradient_accumulation_steps) + 1 - else: - t_total = len(train_dataloader) // args.gradient_accumulation_steps * args.num_train_epochs - - # Prepare optimizer and schedule (linear warmup and decay) - no_decay = ["bias", "LayerNorm.weight"] - optimizer_grouped_parameters = [ - { - "params": [p for n, p in model.named_parameters() if "mask_score" in n and p.requires_grad], - "lr": args.mask_scores_learning_rate, - }, - { - "params": [ - p - for n, p in model.named_parameters() - if "mask_score" not in n and p.requires_grad and not any(nd in n for nd in no_decay) - ], - "lr": args.learning_rate, - "weight_decay": args.weight_decay, - }, - { - "params": [ - p - for n, p in model.named_parameters() - if "mask_score" not in n and p.requires_grad and any(nd in n for nd in no_decay) - ], - "lr": args.learning_rate, - "weight_decay": 0.0, - }, - ] - - optimizer = AdamW(optimizer_grouped_parameters, lr=args.learning_rate, eps=args.adam_epsilon) - scheduler = get_linear_schedule_with_warmup( - optimizer, num_warmup_steps=args.warmup_steps, num_training_steps=t_total - ) - - # Check if saved optimizer or scheduler states exist - if os.path.isfile(os.path.join(args.model_name_or_path, "optimizer.pt")) and os.path.isfile( - os.path.join(args.model_name_or_path, "scheduler.pt") - ): - # Load in optimizer and scheduler states - optimizer.load_state_dict(torch.load(os.path.join(args.model_name_or_path, "optimizer.pt"))) - scheduler.load_state_dict(torch.load(os.path.join(args.model_name_or_path, "scheduler.pt"))) - - if args.fp16: - try: - from apex import amp - except ImportError: - raise ImportError("Please install apex from https://www.github.com/nvidia/apex to use fp16 training.") - model, optimizer = amp.initialize(model, optimizer, opt_level=args.fp16_opt_level) - - # multi-gpu training (should be after apex fp16 initialization) - if args.n_gpu > 1: - model = nn.DataParallel(model) - - # Distributed training (should be after apex fp16 initialization) - if args.local_rank != -1: - model = nn.parallel.DistributedDataParallel( - model, - device_ids=[args.local_rank], - output_device=args.local_rank, - find_unused_parameters=True, - ) - - # Train! - logger.info("***** Running training *****") - logger.info(" Num examples = %d", len(train_dataset)) - logger.info(" Num Epochs = %d", args.num_train_epochs) - logger.info(" Instantaneous batch size per GPU = %d", args.per_gpu_train_batch_size) - logger.info( - " Total train batch size (w. parallel, distributed & accumulation) = %d", - args.train_batch_size - * args.gradient_accumulation_steps - * (torch.distributed.get_world_size() if args.local_rank != -1 else 1), - ) - logger.info(" Gradient Accumulation steps = %d", args.gradient_accumulation_steps) - logger.info(" Total optimization steps = %d", t_total) - # Distillation - if teacher is not None: - logger.info(" Training with distillation") - - global_step = 1 - # Global TopK - if args.global_topk: - threshold_mem = None - epochs_trained = 0 - steps_trained_in_current_epoch = 0 - # Check if continuing training from a checkpoint - if os.path.exists(args.model_name_or_path): - # set global_step to global_step of last saved checkpoint from model path - try: - checkpoint_suffix = args.model_name_or_path.split("-")[-1].split("/")[0] - global_step = int(checkpoint_suffix) - epochs_trained = global_step // (len(train_dataloader) // args.gradient_accumulation_steps) - steps_trained_in_current_epoch = global_step % (len(train_dataloader) // args.gradient_accumulation_steps) - - logger.info(" Continuing training from checkpoint, will skip to saved global_step") - logger.info(" Continuing training from epoch %d", epochs_trained) - logger.info(" Continuing training from global step %d", global_step) - logger.info(" Will skip the first %d steps in the first epoch", steps_trained_in_current_epoch) - except ValueError: - logger.info(" Starting fine-tuning.") - - tr_loss, logging_loss = 0.0, 0.0 - model.zero_grad() - train_iterator = trange( - epochs_trained, int(args.num_train_epochs), desc="Epoch", disable=args.local_rank not in [-1, 0] - ) - # Added here for reproducibility - set_seed(args) - - for _ in train_iterator: - epoch_iterator = tqdm(train_dataloader, desc="Iteration", disable=args.local_rank not in [-1, 0]) - for step, batch in enumerate(epoch_iterator): - # Skip past any already trained steps if resuming training - if steps_trained_in_current_epoch > 0: - steps_trained_in_current_epoch -= 1 - continue - - model.train() - batch = tuple(t.to(args.device) for t in batch) - threshold, regu_lambda = schedule_threshold( - step=global_step, - total_step=t_total, - warmup_steps=args.warmup_steps, - final_threshold=args.final_threshold, - initial_threshold=args.initial_threshold, - final_warmup=args.final_warmup, - initial_warmup=args.initial_warmup, - final_lambda=args.final_lambda, - ) - # Global TopK - if args.global_topk: - if threshold == 1.0: - threshold = -1e2 # Or an indefinitely low quantity - else: - if (threshold_mem is None) or (global_step % args.global_topk_frequency_compute == 0): - # Sort all the values to get the global topK - concat = torch.cat( - [param.view(-1) for name, param in model.named_parameters() if "mask_scores" in name] - ) - n = concat.numel() - kth = max(n - (int(n * threshold) + 1), 1) - threshold_mem = concat.kthvalue(kth).values.item() - threshold = threshold_mem - else: - threshold = threshold_mem - inputs = { - "input_ids": batch[0], - "attention_mask": batch[1], - "token_type_ids": batch[2], - "start_positions": batch[3], - "end_positions": batch[4], - } - - if args.model_type in ["xlm", "roberta", "distilbert", "camembert"]: - del inputs["token_type_ids"] - - if args.model_type in ["xlnet", "xlm"]: - inputs.update({"cls_index": batch[5], "p_mask": batch[6]}) - if args.version_2_with_negative: - inputs.update({"is_impossible": batch[7]}) - if hasattr(model, "config") and hasattr(model.config, "lang2id"): - inputs.update( - {"langs": (torch.ones(batch[0].shape, dtype=torch.int64) * args.lang_id).to(args.device)} - ) - - if "masked" in args.model_type: - inputs["threshold"] = threshold - - outputs = model(**inputs) - # model outputs are always tuple in transformers (see doc) - loss, start_logits_stu, end_logits_stu = outputs - - # Distillation loss - if teacher is not None: - with torch.no_grad(): - start_logits_tea, end_logits_tea = teacher( - input_ids=inputs["input_ids"], - token_type_ids=inputs["token_type_ids"], - attention_mask=inputs["attention_mask"], - ) - - loss_start = nn.functional.kl_div( - input=nn.functional.log_softmax(start_logits_stu / args.temperature, dim=-1), - target=nn.functional.softmax(start_logits_tea / args.temperature, dim=-1), - reduction="batchmean", - ) * (args.temperature**2) - loss_end = nn.functional.kl_div( - input=nn.functional.log_softmax(end_logits_stu / args.temperature, dim=-1), - target=nn.functional.softmax(end_logits_tea / args.temperature, dim=-1), - reduction="batchmean", - ) * (args.temperature**2) - loss_logits = (loss_start + loss_end) / 2.0 - - loss = args.alpha_distil * loss_logits + args.alpha_ce * loss - - # Regularization - if args.regularization is not None: - regu_ = regularization(model=model, mode=args.regularization) - loss = loss + regu_lambda * regu_ - - if args.n_gpu > 1: - loss = loss.mean() # mean() to average on multi-gpu parallel training - if args.gradient_accumulation_steps > 1: - loss = loss / args.gradient_accumulation_steps - - if args.fp16: - with amp.scale_loss(loss, optimizer) as scaled_loss: - scaled_loss.backward() - else: - loss.backward() - - tr_loss += loss.item() - if (step + 1) % args.gradient_accumulation_steps == 0: - if args.fp16: - nn.utils.clip_grad_norm_(amp.master_params(optimizer), args.max_grad_norm) - else: - nn.utils.clip_grad_norm_(model.parameters(), args.max_grad_norm) - - if args.local_rank in [-1, 0] and args.logging_steps > 0 and global_step % args.logging_steps == 0: - tb_writer.add_scalar("threshold", threshold, global_step) - for name, param in model.named_parameters(): - if not param.requires_grad: - continue - tb_writer.add_scalar("parameter_mean/" + name, param.data.mean(), global_step) - tb_writer.add_scalar("parameter_std/" + name, param.data.std(), global_step) - tb_writer.add_scalar("parameter_min/" + name, param.data.min(), global_step) - tb_writer.add_scalar("parameter_max/" + name, param.data.max(), global_step) - if "pooler" in name: - continue - tb_writer.add_scalar("grad_mean/" + name, param.grad.data.mean(), global_step) - tb_writer.add_scalar("grad_std/" + name, param.grad.data.std(), global_step) - if args.regularization is not None and "mask_scores" in name: - if args.regularization == "l1": - perc = (torch.sigmoid(param) > threshold).sum().item() / param.numel() - elif args.regularization == "l0": - perc = (torch.sigmoid(param - 2 / 3 * np.log(0.1 / 1.1))).sum().item() / param.numel() - tb_writer.add_scalar("retained_weights_perc/" + name, perc, global_step) - - optimizer.step() - scheduler.step() # Update learning rate schedule - model.zero_grad() - global_step += 1 - - # Log metrics - if args.local_rank in [-1, 0] and args.logging_steps > 0 and global_step % args.logging_steps == 0: - # Only evaluate when single GPU otherwise metrics may not average well - if args.local_rank == -1 and args.evaluate_during_training: - results = evaluate(args, model, tokenizer) - for key, value in results.items(): - tb_writer.add_scalar("eval_{}".format(key), value, global_step) - learning_rate_scalar = scheduler.get_lr() - tb_writer.add_scalar("lr", learning_rate_scalar[0], global_step) - if len(learning_rate_scalar) > 1: - for idx, lr in enumerate(learning_rate_scalar[1:]): - tb_writer.add_scalar(f"lr/{idx+1}", lr, global_step) - tb_writer.add_scalar("loss", (tr_loss - logging_loss) / args.logging_steps, global_step) - if teacher is not None: - tb_writer.add_scalar("loss/distil", loss_logits.item(), global_step) - if args.regularization is not None: - tb_writer.add_scalar("loss/regularization", regu_.item(), global_step) - if (teacher is not None) or (args.regularization is not None): - if (teacher is not None) and (args.regularization is not None): - tb_writer.add_scalar( - "loss/instant_ce", - (loss.item() - regu_lambda * regu_.item() - args.alpha_distil * loss_logits.item()) - / args.alpha_ce, - global_step, - ) - elif teacher is not None: - tb_writer.add_scalar( - "loss/instant_ce", - (loss.item() - args.alpha_distil * loss_logits.item()) / args.alpha_ce, - global_step, - ) - else: - tb_writer.add_scalar( - "loss/instant_ce", loss.item() - regu_lambda * regu_.item(), global_step - ) - logging_loss = tr_loss - - # Save model checkpoint - if args.local_rank in [-1, 0] and args.save_steps > 0 and global_step % args.save_steps == 0: - output_dir = os.path.join(args.output_dir, "checkpoint-{}".format(global_step)) - if not os.path.exists(output_dir): - os.makedirs(output_dir) - # Take care of distributed/parallel training - model_to_save = model.module if hasattr(model, "module") else model - model_to_save.save_pretrained(output_dir) - tokenizer.save_pretrained(output_dir) - - torch.save(args, os.path.join(output_dir, "training_args.bin")) - logger.info("Saving model checkpoint to %s", output_dir) - - torch.save(optimizer.state_dict(), os.path.join(output_dir, "optimizer.pt")) - torch.save(scheduler.state_dict(), os.path.join(output_dir, "scheduler.pt")) - logger.info("Saving optimizer and scheduler states to %s", output_dir) - - if args.max_steps > 0 and global_step > args.max_steps: - epoch_iterator.close() - break - if args.max_steps > 0 and global_step > args.max_steps: - train_iterator.close() - break - - if args.local_rank in [-1, 0]: - tb_writer.close() - - return global_step, tr_loss / global_step - - -def evaluate(args, model, tokenizer, prefix=""): - dataset, examples, features = load_and_cache_examples(args, tokenizer, evaluate=True, output_examples=True) - - if not os.path.exists(args.output_dir) and args.local_rank in [-1, 0]: - os.makedirs(args.output_dir) - - args.eval_batch_size = args.per_gpu_eval_batch_size * max(1, args.n_gpu) - # Note that DistributedSampler samples randomly - eval_sampler = SequentialSampler(dataset) - eval_dataloader = DataLoader(dataset, sampler=eval_sampler, batch_size=args.eval_batch_size) - - # multi-gpu eval - if args.n_gpu > 1 and not isinstance(model, nn.DataParallel): - model = nn.DataParallel(model) - - # Eval! - logger.info("***** Running evaluation {} *****".format(prefix)) - logger.info(" Num examples = %d", len(dataset)) - logger.info(" Batch size = %d", args.eval_batch_size) - - all_results = [] - start_time = timeit.default_timer() - # Global TopK - if args.global_topk: - threshold_mem = None - - for batch in tqdm(eval_dataloader, desc="Evaluating"): - model.eval() - batch = tuple(t.to(args.device) for t in batch) - - with torch.no_grad(): - inputs = { - "input_ids": batch[0], - "attention_mask": batch[1], - "token_type_ids": batch[2], - } - - if args.model_type in ["xlm", "roberta", "distilbert", "camembert"]: - del inputs["token_type_ids"] - - example_indices = batch[3] - - # XLNet and XLM use more arguments for their predictions - if args.model_type in ["xlnet", "xlm"]: - inputs.update({"cls_index": batch[4], "p_mask": batch[5]}) - # for lang_id-sensitive xlm models - if hasattr(model, "config") and hasattr(model.config, "lang2id"): - inputs.update( - {"langs": (torch.ones(batch[0].shape, dtype=torch.int64) * args.lang_id).to(args.device)} - ) - if "masked" in args.model_type: - inputs["threshold"] = args.final_threshold - if args.global_topk: - if threshold_mem is None: - concat = torch.cat( - [param.view(-1) for name, param in model.named_parameters() if "mask_scores" in name] - ) - n = concat.numel() - kth = max(n - (int(n * args.final_threshold) + 1), 1) - threshold_mem = concat.kthvalue(kth).values.item() - inputs["threshold"] = threshold_mem - outputs = model(**inputs) - - for i, example_index in enumerate(example_indices): - eval_feature = features[example_index.item()] - unique_id = int(eval_feature.unique_id) - - output = [to_list(output[i]) for output in outputs] - - # Some models (XLNet, XLM) use 5 arguments for their predictions, while the other "simpler" - # models only use two. - if len(output) >= 5: - start_logits = output[0] - start_top_index = output[1] - end_logits = output[2] - end_top_index = output[3] - cls_logits = output[4] - - result = SquadResult( - unique_id, - start_logits, - end_logits, - start_top_index=start_top_index, - end_top_index=end_top_index, - cls_logits=cls_logits, - ) - - else: - start_logits, end_logits = output - result = SquadResult(unique_id, start_logits, end_logits) - - all_results.append(result) - - evalTime = timeit.default_timer() - start_time - logger.info(" Evaluation done in total %f secs (%f sec per example)", evalTime, evalTime / len(dataset)) - - # Compute predictions - output_prediction_file = os.path.join(args.output_dir, "predictions_{}.json".format(prefix)) - output_nbest_file = os.path.join(args.output_dir, "nbest_predictions_{}.json".format(prefix)) - - if args.version_2_with_negative: - output_null_log_odds_file = os.path.join(args.output_dir, "null_odds_{}.json".format(prefix)) - else: - output_null_log_odds_file = None - - # XLNet and XLM use a more complex post-processing procedure - if args.model_type in ["xlnet", "xlm"]: - start_n_top = model.config.start_n_top if hasattr(model, "config") else model.module.config.start_n_top - end_n_top = model.config.end_n_top if hasattr(model, "config") else model.module.config.end_n_top - - predictions = compute_predictions_log_probs( - examples, - features, - all_results, - args.n_best_size, - args.max_answer_length, - output_prediction_file, - output_nbest_file, - output_null_log_odds_file, - start_n_top, - end_n_top, - args.version_2_with_negative, - tokenizer, - args.verbose_logging, - ) - else: - predictions = compute_predictions_logits( - examples, - features, - all_results, - args.n_best_size, - args.max_answer_length, - args.do_lower_case, - output_prediction_file, - output_nbest_file, - output_null_log_odds_file, - args.verbose_logging, - args.version_2_with_negative, - args.null_score_diff_threshold, - tokenizer, - ) - - # Compute the F1 and exact scores. - results = squad_evaluate(examples, predictions) - return results - - -def load_and_cache_examples(args, tokenizer, evaluate=False, output_examples=False): - if args.local_rank not in [-1, 0] and not evaluate: - # Make sure only the first process in distributed training process the dataset, and the others will use the cache - torch.distributed.barrier() - - # Load data features from cache or dataset file - input_dir = args.data_dir if args.data_dir else "." - cached_features_file = os.path.join( - input_dir, - "cached_{}_{}_{}_{}".format( - "dev" if evaluate else "train", - args.tokenizer_name - if args.tokenizer_name - else list(filter(None, args.model_name_or_path.split("/"))).pop(), - str(args.max_seq_length), - list(filter(None, args.predict_file.split("/"))).pop() - if evaluate - else list(filter(None, args.train_file.split("/"))).pop(), - ), - ) - - # Init features and dataset from cache if it exists - if os.path.exists(cached_features_file) and not args.overwrite_cache: - logger.info("Loading features from cached file %s", cached_features_file) - features_and_dataset = torch.load(cached_features_file) - features, dataset, examples = ( - features_and_dataset["features"], - features_and_dataset["dataset"], - features_and_dataset["examples"], - ) - else: - logger.info("Creating features from dataset file at %s", input_dir) - - if not args.data_dir and ((evaluate and not args.predict_file) or (not evaluate and not args.train_file)): - try: - import tensorflow_datasets as tfds - except ImportError: - raise ImportError("If not data_dir is specified, tensorflow_datasets needs to be installed.") - - if args.version_2_with_negative: - logger.warning("tensorflow_datasets does not handle version 2 of SQuAD.") - - tfds_examples = tfds.load("squad") - examples = SquadV1Processor().get_examples_from_dataset(tfds_examples, evaluate=evaluate) - else: - processor = SquadV2Processor() if args.version_2_with_negative else SquadV1Processor() - if evaluate: - examples = processor.get_dev_examples(args.data_dir, filename=args.predict_file) - else: - examples = processor.get_train_examples(args.data_dir, filename=args.train_file) - - features, dataset = squad_convert_examples_to_features( - examples=examples, - tokenizer=tokenizer, - max_seq_length=args.max_seq_length, - doc_stride=args.doc_stride, - max_query_length=args.max_query_length, - is_training=not evaluate, - return_dataset="pt", - threads=args.threads, - ) - - if args.local_rank in [-1, 0]: - logger.info("Saving features into cached file %s", cached_features_file) - torch.save({"features": features, "dataset": dataset, "examples": examples}, cached_features_file) - - if args.local_rank == 0 and not evaluate: - # Make sure only the first process in distributed training process the dataset, and the others will use the cache - torch.distributed.barrier() - - if output_examples: - return dataset, examples, features - return dataset - - -def main(): - parser = argparse.ArgumentParser() - - # Required parameters - parser.add_argument( - "--model_type", - default=None, - type=str, - required=True, - help="Model type selected in the list: " + ", ".join(MODEL_CLASSES.keys()), - ) - parser.add_argument( - "--model_name_or_path", - default=None, - type=str, - required=True, - help="Path to pretrained model or model identifier from huggingface.co/models", - ) - parser.add_argument( - "--output_dir", - default=None, - type=str, - required=True, - help="The output directory where the model checkpoints and predictions will be written.", - ) - - # Other parameters - parser.add_argument( - "--data_dir", - default=None, - type=str, - help="The input data dir. Should contain the .json files for the task." - + "If no data dir or train/predict files are specified, will run with tensorflow_datasets.", - ) - parser.add_argument( - "--train_file", - default=None, - type=str, - help="The input training file. If a data dir is specified, will look for the file there" - + "If no data dir or train/predict files are specified, will run with tensorflow_datasets.", - ) - parser.add_argument( - "--predict_file", - default=None, - type=str, - help="The input evaluation file. If a data dir is specified, will look for the file there" - + "If no data dir or train/predict files are specified, will run with tensorflow_datasets.", - ) - parser.add_argument( - "--config_name", default="", type=str, help="Pretrained config name or path if not the same as model_name" - ) - parser.add_argument( - "--tokenizer_name", - default="", - type=str, - help="Pretrained tokenizer name or path if not the same as model_name", - ) - parser.add_argument( - "--cache_dir", - default="", - type=str, - help="Where do you want to store the pre-trained models downloaded from huggingface.co", - ) - - parser.add_argument( - "--version_2_with_negative", - action="store_true", - help="If true, the SQuAD examples contain some that do not have an answer.", - ) - parser.add_argument( - "--null_score_diff_threshold", - type=float, - default=0.0, - help="If null_score - best_non_null is greater than the threshold predict null.", - ) - - parser.add_argument( - "--max_seq_length", - default=384, - type=int, - help=( - "The maximum total input sequence length after WordPiece tokenization. Sequences " - "longer than this will be truncated, and sequences shorter than this will be padded." - ), - ) - parser.add_argument( - "--doc_stride", - default=128, - type=int, - help="When splitting up a long document into chunks, how much stride to take between chunks.", - ) - parser.add_argument( - "--max_query_length", - default=64, - type=int, - help=( - "The maximum number of tokens for the question. Questions longer than this will " - "be truncated to this length." - ), - ) - parser.add_argument("--do_train", action="store_true", help="Whether to run training.") - parser.add_argument("--do_eval", action="store_true", help="Whether to run eval on the dev set.") - parser.add_argument( - "--evaluate_during_training", action="store_true", help="Run evaluation during training at each logging step." - ) - parser.add_argument( - "--do_lower_case", action="store_true", help="Set this flag if you are using an uncased model." - ) - - parser.add_argument("--per_gpu_train_batch_size", default=8, type=int, help="Batch size per GPU/CPU for training.") - parser.add_argument( - "--per_gpu_eval_batch_size", default=8, type=int, help="Batch size per GPU/CPU for evaluation." - ) - parser.add_argument("--learning_rate", default=5e-5, type=float, help="The initial learning rate for Adam.") - - # Pruning parameters - parser.add_argument( - "--mask_scores_learning_rate", - default=1e-2, - type=float, - help="The Adam initial learning rate of the mask scores.", - ) - parser.add_argument( - "--initial_threshold", default=1.0, type=float, help="Initial value of the threshold (for scheduling)." - ) - parser.add_argument( - "--final_threshold", default=0.7, type=float, help="Final value of the threshold (for scheduling)." - ) - parser.add_argument( - "--initial_warmup", - default=1, - type=int, - help=( - "Run `initial_warmup` * `warmup_steps` steps of threshold warmup during which threshold stays" - "at its `initial_threshold` value (sparsity schedule)." - ), - ) - parser.add_argument( - "--final_warmup", - default=2, - type=int, - help=( - "Run `final_warmup` * `warmup_steps` steps of threshold cool-down during which threshold stays" - "at its final_threshold value (sparsity schedule)." - ), - ) - - parser.add_argument( - "--pruning_method", - default="topK", - type=str, - help=( - "Pruning Method (l0 = L0 regularization, magnitude = Magnitude pruning, topK = Movement pruning," - " sigmoied_threshold = Soft movement pruning)." - ), - ) - parser.add_argument( - "--mask_init", - default="constant", - type=str, - help="Initialization method for the mask scores. Choices: constant, uniform, kaiming.", - ) - parser.add_argument( - "--mask_scale", default=0.0, type=float, help="Initialization parameter for the chosen initialization method." - ) - - parser.add_argument("--regularization", default=None, help="Add L0 or L1 regularization to the mask scores.") - parser.add_argument( - "--final_lambda", - default=0.0, - type=float, - help="Regularization intensity (used in conjunction with `regularization`.", - ) - - parser.add_argument("--global_topk", action="store_true", help="Global TopK on the Scores.") - parser.add_argument( - "--global_topk_frequency_compute", - default=25, - type=int, - help="Frequency at which we compute the TopK global threshold.", - ) - - # Distillation parameters (optional) - parser.add_argument( - "--teacher_type", - default=None, - type=str, - help=( - "Teacher type. Teacher tokenizer and student (model) tokenizer must output the same tokenization. Only for" - " distillation." - ), - ) - parser.add_argument( - "--teacher_name_or_path", - default=None, - type=str, - help="Path to the already SQuAD fine-tuned teacher model. Only for distillation.", - ) - parser.add_argument( - "--alpha_ce", default=0.5, type=float, help="Cross entropy loss linear weight. Only for distillation." - ) - parser.add_argument( - "--alpha_distil", default=0.5, type=float, help="Distillation loss linear weight. Only for distillation." - ) - parser.add_argument( - "--temperature", default=2.0, type=float, help="Distillation temperature. Only for distillation." - ) - - parser.add_argument( - "--gradient_accumulation_steps", - type=int, - default=1, - help="Number of updates steps to accumulate before performing a backward/update pass.", - ) - parser.add_argument("--weight_decay", default=0.0, type=float, help="Weight decay if we apply some.") - parser.add_argument("--adam_epsilon", default=1e-8, type=float, help="Epsilon for Adam optimizer.") - parser.add_argument("--max_grad_norm", default=1.0, type=float, help="Max gradient norm.") - parser.add_argument( - "--num_train_epochs", - default=3.0, - type=float, - help="Total number of training epochs to perform.", - ) - parser.add_argument( - "--max_steps", - default=-1, - type=int, - help="If > 0: set total number of training steps to perform. Override num_train_epochs.", - ) - parser.add_argument("--warmup_steps", default=0, type=int, help="Linear warmup over warmup_steps.") - parser.add_argument( - "--n_best_size", - default=20, - type=int, - help="The total number of n-best predictions to generate in the nbest_predictions.json output file.", - ) - parser.add_argument( - "--max_answer_length", - default=30, - type=int, - help=( - "The maximum length of an answer that can be generated. This is needed because the start " - "and end predictions are not conditioned on one another." - ), - ) - parser.add_argument( - "--verbose_logging", - action="store_true", - help=( - "If true, all of the warnings related to data processing will be printed. " - "A number of warnings are expected for a normal SQuAD evaluation." - ), - ) - parser.add_argument( - "--lang_id", - default=0, - type=int, - help=( - "language id of input for language-specific xlm models (see" - " tokenization_xlm.PRETRAINED_INIT_CONFIGURATION)" - ), - ) - - parser.add_argument("--logging_steps", type=int, default=500, help="Log every X updates steps.") - parser.add_argument("--save_steps", type=int, default=500, help="Save checkpoint every X updates steps.") - parser.add_argument( - "--eval_all_checkpoints", - action="store_true", - help="Evaluate all checkpoints starting with the same prefix as model_name ending and ending with step number", - ) - parser.add_argument("--no_cuda", action="store_true", help="Whether not to use CUDA when available") - parser.add_argument( - "--overwrite_output_dir", action="store_true", help="Overwrite the content of the output directory" - ) - parser.add_argument( - "--overwrite_cache", action="store_true", help="Overwrite the cached training and evaluation sets" - ) - parser.add_argument("--seed", type=int, default=42, help="random seed for initialization") - - parser.add_argument("--local_rank", type=int, default=-1, help="local_rank for distributed training on gpus") - parser.add_argument( - "--fp16", - action="store_true", - help="Whether to use 16-bit (mixed) precision (through NVIDIA apex) instead of 32-bit", - ) - parser.add_argument( - "--fp16_opt_level", - type=str, - default="O1", - help=( - "For fp16: Apex AMP optimization level selected in ['O0', 'O1', 'O2', and 'O3']." - "See details at https://nvidia.github.io/apex/amp.html" - ), - ) - parser.add_argument("--server_ip", type=str, default="", help="Can be used for distant debugging.") - parser.add_argument("--server_port", type=str, default="", help="Can be used for distant debugging.") - - parser.add_argument("--threads", type=int, default=1, help="multiple threads for converting example to features") - args = parser.parse_args() - - # Regularization - if args.regularization == "null": - args.regularization = None - - if args.doc_stride >= args.max_seq_length - args.max_query_length: - logger.warning( - "WARNING - You've set a doc stride which may be superior to the document length in some " - "examples. This could result in errors when building features from the examples. Please reduce the doc " - "stride or increase the maximum length to ensure the features are correctly built." - ) - - if ( - os.path.exists(args.output_dir) - and os.listdir(args.output_dir) - and args.do_train - and not args.overwrite_output_dir - ): - raise ValueError( - "Output directory ({}) already exists and is not empty. Use --overwrite_output_dir to overcome.".format( - args.output_dir - ) - ) - - # Setup distant debugging if needed - if args.server_ip and args.server_port: - # Distant debugging - see https://code.visualstudio.com/docs/python/debugging#_attach-to-a-local-script - import ptvsd - - print("Waiting for debugger attach") - ptvsd.enable_attach(address=(args.server_ip, args.server_port), redirect_output=True) - ptvsd.wait_for_attach() - - # Setup CUDA, GPU & distributed training - if args.local_rank == -1 or args.no_cuda: - device = torch.device("cuda" if torch.cuda.is_available() and not args.no_cuda else "cpu") - args.n_gpu = 0 if args.no_cuda else torch.cuda.device_count() - else: # Initializes the distributed backend which will take care of synchronizing nodes/GPUs - torch.cuda.set_device(args.local_rank) - device = torch.device("cuda", args.local_rank) - torch.distributed.init_process_group(backend="nccl") - args.n_gpu = 1 - args.device = device - - # Setup logging - logging.basicConfig( - format="%(asctime)s - %(levelname)s - %(name)s - %(message)s", - datefmt="%m/%d/%Y %H:%M:%S", - level=logging.INFO if args.local_rank in [-1, 0] else logging.WARN, - ) - logger.warning( - "Process rank: %s, device: %s, n_gpu: %s, distributed training: %s, 16-bits training: %s", - args.local_rank, - device, - args.n_gpu, - bool(args.local_rank != -1), - args.fp16, - ) - - # Set seed - set_seed(args) - - # Load pretrained model and tokenizer - if args.local_rank not in [-1, 0]: - # Make sure only the first process in distributed training will download model & vocab - torch.distributed.barrier() - - args.model_type = args.model_type.lower() - config_class, model_class, tokenizer_class = MODEL_CLASSES[args.model_type] - config = config_class.from_pretrained( - args.config_name if args.config_name else args.model_name_or_path, - cache_dir=args.cache_dir if args.cache_dir else None, - pruning_method=args.pruning_method, - mask_init=args.mask_init, - mask_scale=args.mask_scale, - ) - tokenizer = tokenizer_class.from_pretrained( - args.tokenizer_name if args.tokenizer_name else args.model_name_or_path, - do_lower_case=args.do_lower_case, - cache_dir=args.cache_dir if args.cache_dir else None, - ) - model = model_class.from_pretrained( - args.model_name_or_path, - from_tf=bool(".ckpt" in args.model_name_or_path), - config=config, - cache_dir=args.cache_dir if args.cache_dir else None, - ) - - if args.teacher_type is not None: - assert args.teacher_name_or_path is not None - assert args.alpha_distil > 0.0 - assert args.alpha_distil + args.alpha_ce > 0.0 - teacher_config_class, teacher_model_class, _ = MODEL_CLASSES[args.teacher_type] - teacher_config = teacher_config_class.from_pretrained(args.teacher_name_or_path) - teacher = teacher_model_class.from_pretrained( - args.teacher_name_or_path, - from_tf=False, - config=teacher_config, - cache_dir=args.cache_dir if args.cache_dir else None, - ) - teacher.to(args.device) - else: - teacher = None - - if args.local_rank == 0: - # Make sure only the first process in distributed training will download model & vocab - torch.distributed.barrier() - - model.to(args.device) - - logger.info("Training/evaluation parameters %s", args) - - # Before we do anything with models, we want to ensure that we get fp16 execution of torch.einsum if args.fp16 is set. - # Otherwise it'll default to "promote" mode, and we'll get fp32 operations. Note that running `--fp16_opt_level="O2"` will - # remove the need for this code, but it is still valid. - if args.fp16: - try: - import apex - - apex.amp.register_half_function(torch, "einsum") - except ImportError: - raise ImportError("Please install apex from https://www.github.com/nvidia/apex to use fp16 training.") - - # Training - if args.do_train: - train_dataset = load_and_cache_examples(args, tokenizer, evaluate=False, output_examples=False) - global_step, tr_loss = train(args, train_dataset, model, tokenizer, teacher=teacher) - logger.info(" global_step = %s, average loss = %s", global_step, tr_loss) - - # Save the trained model and the tokenizer - if args.do_train and (args.local_rank == -1 or torch.distributed.get_rank() == 0): - logger.info("Saving model checkpoint to %s", args.output_dir) - # Save a trained model, configuration and tokenizer using `save_pretrained()`. - # They can then be reloaded using `from_pretrained()` - # Take care of distributed/parallel training - model_to_save = model.module if hasattr(model, "module") else model - model_to_save.save_pretrained(args.output_dir) - tokenizer.save_pretrained(args.output_dir) - - # Good practice: save your training arguments together with the trained model - torch.save(args, os.path.join(args.output_dir, "training_args.bin")) - - # Load a trained model and vocabulary that you have fine-tuned - model = model_class.from_pretrained(args.output_dir) # , force_download=True) - tokenizer = tokenizer_class.from_pretrained(args.output_dir, do_lower_case=args.do_lower_case) - model.to(args.device) - - # Evaluation - we can ask to evaluate all the checkpoints (sub-directories) in a directory - results = {} - if args.do_eval and args.local_rank in [-1, 0]: - if args.do_train: - logger.info("Loading checkpoints saved during training for evaluation") - checkpoints = [args.output_dir] - if args.eval_all_checkpoints: - checkpoints = [ - os.path.dirname(c) - for c in sorted(glob.glob(args.output_dir + "/**/" + WEIGHTS_NAME, recursive=True)) - ] - - else: - logger.info("Loading checkpoint %s for evaluation", args.model_name_or_path) - checkpoints = [args.model_name_or_path] - - logger.info("Evaluate the following checkpoints: %s", checkpoints) - - for checkpoint in checkpoints: - # Reload the model - global_step = checkpoint.split("-")[-1] if len(checkpoints) > 1 else "" - model = model_class.from_pretrained(checkpoint) # , force_download=True) - model.to(args.device) - - # Evaluate - result = evaluate(args, model, tokenizer, prefix=global_step) - - result = {k + ("_{}".format(global_step) if global_step else ""): v for k, v in result.items()} - results.update(result) - - logger.info("Results: {}".format(results)) - predict_file = list(filter(None, args.predict_file.split("/"))).pop() - if not os.path.exists(os.path.join(args.output_dir, predict_file)): - os.makedirs(os.path.join(args.output_dir, predict_file)) - output_eval_file = os.path.join(args.output_dir, predict_file, "eval_results.txt") - with open(output_eval_file, "w") as writer: - for key in sorted(results.keys()): - writer.write("%s = %s\n" % (key, str(results[key]))) - - return results - - -if __name__ == "__main__": - main() diff --git a/spaces/chenyangqi/FateZero/README.md b/spaces/chenyangqi/FateZero/README.md deleted file mode 100644 index c488d73face42eb3a7eb3d432cda935645cae965..0000000000000000000000000000000000000000 --- a/spaces/chenyangqi/FateZero/README.md +++ /dev/null @@ -1,11 +0,0 @@ ---- -title: FateZero Inference -emoji: ⚔️ -colorFrom: red -colorTo: purple -sdk: docker -pinned: false -license: mit ---- - -Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference diff --git a/spaces/chilge/Fushimi/spec_gen.py b/spaces/chilge/Fushimi/spec_gen.py deleted file mode 100644 index 85ad3188ac93aaef7b1b1d7dbbe47d358f4b0da6..0000000000000000000000000000000000000000 --- a/spaces/chilge/Fushimi/spec_gen.py +++ /dev/null @@ -1,22 +0,0 @@ -from data_utils import TextAudioSpeakerLoader, EvalDataLoader -import json -from tqdm import tqdm - -from utils import HParams - -config_path = 'configs/config.json' -with open(config_path, "r") as f: - data = f.read() -config = json.loads(data) -hps = HParams(**config) - -train_dataset = TextAudioSpeakerLoader("filelists/train.txt", hps) -test_dataset = TextAudioSpeakerLoader("filelists/test.txt", hps) -eval_dataset = TextAudioSpeakerLoader("filelists/val.txt", hps) - -for _ in tqdm(train_dataset): - pass -for _ in tqdm(eval_dataset): - pass -for _ in tqdm(test_dataset): - pass \ No newline at end of file diff --git a/spaces/chompionsawelo/whisper_transcribe/main/summary.py b/spaces/chompionsawelo/whisper_transcribe/main/summary.py deleted file mode 100644 index 18ef4c3eb9ae59b8d1bcb14b7b07bdff538ac4f5..0000000000000000000000000000000000000000 --- a/spaces/chompionsawelo/whisper_transcribe/main/summary.py +++ /dev/null @@ -1,28 +0,0 @@ -import openai -import tiktoken -import tool.text_file_tool as text_file_tool -import os - -openai.api_key = os.environ["OPEN_AI_KEY"] - - -def get_summary(lang_choice: int): - transcribe_list = text_file_tool.read_simple_transcribe_file() - transcribe = "\n".join(transcribe_list) - - encoding = tiktoken.get_encoding("cl100k_base") - token_num = len(encoding.encode(transcribe)) - print(f"Token number is {token_num}") - - language = ["English", "Bahasa Indonesia", "Any"] - result = openai.ChatCompletion.create( - model="gpt-3.5-turbo" if token_num < 4097 else "gpt-3.5-turbo-16k", - messages=[ - {"role": "system", "content": "You will make summary from dialogues in a meeting. The summary will only mention core point of the meeting in bullet points"}, - {"role": "user", "content": "Please provide the dialogue"}, - {"role": "assistant", "content": transcribe}, - {"role": "user", - "content": f"Write summary for the given meeting dialogue in {language[lang_choice]}"} - ] - ) - return result["choices"][0]["message"]["content"] diff --git a/spaces/chuan-hd/law-assistant-chatbot/.venv/lib/python3.11/site-packages/cryptography/hazmat/backends/openssl/__init__.py b/spaces/chuan-hd/law-assistant-chatbot/.venv/lib/python3.11/site-packages/cryptography/hazmat/backends/openssl/__init__.py deleted file mode 100644 index 51b04476cbb7f4a98051f2fc55bcc1aa35e22d05..0000000000000000000000000000000000000000 --- a/spaces/chuan-hd/law-assistant-chatbot/.venv/lib/python3.11/site-packages/cryptography/hazmat/backends/openssl/__init__.py +++ /dev/null @@ -1,9 +0,0 @@ -# This file is dual licensed under the terms of the Apache License, Version -# 2.0, and the BSD License. See the LICENSE file in the root of this repository -# for complete details. - -from __future__ import annotations - -from cryptography.hazmat.backends.openssl.backend import backend - -__all__ = ["backend"] diff --git a/spaces/chuan-hd/law-assistant-chatbot/.venv/lib/python3.11/site-packages/cryptography/hazmat/primitives/_cipheralgorithm.py b/spaces/chuan-hd/law-assistant-chatbot/.venv/lib/python3.11/site-packages/cryptography/hazmat/primitives/_cipheralgorithm.py deleted file mode 100644 index 3b880b64884954a46dcf2c513264e87cb6d6ed07..0000000000000000000000000000000000000000 --- a/spaces/chuan-hd/law-assistant-chatbot/.venv/lib/python3.11/site-packages/cryptography/hazmat/primitives/_cipheralgorithm.py +++ /dev/null @@ -1,45 +0,0 @@ -# This file is dual licensed under the terms of the Apache License, Version -# 2.0, and the BSD License. See the LICENSE file in the root of this repository -# for complete details. - -from __future__ import annotations - -import abc -import typing - -# This exists to break an import cycle. It is normally accessible from the -# ciphers module. - - -class CipherAlgorithm(metaclass=abc.ABCMeta): - @property - @abc.abstractmethod - def name(self) -> str: - """ - A string naming this mode (e.g. "AES", "Camellia"). - """ - - @property - @abc.abstractmethod - def key_sizes(self) -> typing.FrozenSet[int]: - """ - Valid key sizes for this algorithm in bits - """ - - @property - @abc.abstractmethod - def key_size(self) -> int: - """ - The size of the key being used as an integer in bits (e.g. 128, 256). - """ - - -class BlockCipherAlgorithm(CipherAlgorithm): - key: bytes - - @property - @abc.abstractmethod - def block_size(self) -> int: - """ - The size of a block as an integer in bits (e.g. 64, 128). - """ diff --git a/spaces/chuan-hd/law-assistant-chatbot/.venv/lib/python3.11/site-packages/fontTools/unicodedata/Blocks.py b/spaces/chuan-hd/law-assistant-chatbot/.venv/lib/python3.11/site-packages/fontTools/unicodedata/Blocks.py deleted file mode 100644 index b35c93d9b6fa563d1ba5ec162dd5e06d867d033a..0000000000000000000000000000000000000000 --- a/spaces/chuan-hd/law-assistant-chatbot/.venv/lib/python3.11/site-packages/fontTools/unicodedata/Blocks.py +++ /dev/null @@ -1,779 +0,0 @@ -# -*- coding: utf-8 -*- -# -# NOTE: This file was auto-generated with MetaTools/buildUCD.py. -# Source: https://unicode.org/Public/UNIDATA/Blocks.txt -# License: http://unicode.org/copyright.html#License -# -# Blocks-15.0.0.txt -# Date: 2022-01-28, 20:58:00 GMT [KW] -# © 2022 Unicode®, Inc. -# For terms of use, see https://www.unicode.org/terms_of_use.html -# -# Unicode Character Database -# For documentation, see https://www.unicode.org/reports/tr44/ -# -# Format: -# Start Code..End Code; Block Name - - -RANGES = [ - 0x0000, # .. 0x007F ; Basic Latin - 0x0080, # .. 0x00FF ; Latin-1 Supplement - 0x0100, # .. 0x017F ; Latin Extended-A - 0x0180, # .. 0x024F ; Latin Extended-B - 0x0250, # .. 0x02AF ; IPA Extensions - 0x02B0, # .. 0x02FF ; Spacing Modifier Letters - 0x0300, # .. 0x036F ; Combining Diacritical Marks - 0x0370, # .. 0x03FF ; Greek and Coptic - 0x0400, # .. 0x04FF ; Cyrillic - 0x0500, # .. 0x052F ; Cyrillic Supplement - 0x0530, # .. 0x058F ; Armenian - 0x0590, # .. 0x05FF ; Hebrew - 0x0600, # .. 0x06FF ; Arabic - 0x0700, # .. 0x074F ; Syriac - 0x0750, # .. 0x077F ; Arabic Supplement - 0x0780, # .. 0x07BF ; Thaana - 0x07C0, # .. 0x07FF ; NKo - 0x0800, # .. 0x083F ; Samaritan - 0x0840, # .. 0x085F ; Mandaic - 0x0860, # .. 0x086F ; Syriac Supplement - 0x0870, # .. 0x089F ; Arabic Extended-B - 0x08A0, # .. 0x08FF ; Arabic Extended-A - 0x0900, # .. 0x097F ; Devanagari - 0x0980, # .. 0x09FF ; Bengali - 0x0A00, # .. 0x0A7F ; Gurmukhi - 0x0A80, # .. 0x0AFF ; Gujarati - 0x0B00, # .. 0x0B7F ; Oriya - 0x0B80, # .. 0x0BFF ; Tamil - 0x0C00, # .. 0x0C7F ; Telugu - 0x0C80, # .. 0x0CFF ; Kannada - 0x0D00, # .. 0x0D7F ; Malayalam - 0x0D80, # .. 0x0DFF ; Sinhala - 0x0E00, # .. 0x0E7F ; Thai - 0x0E80, # .. 0x0EFF ; Lao - 0x0F00, # .. 0x0FFF ; Tibetan - 0x1000, # .. 0x109F ; Myanmar - 0x10A0, # .. 0x10FF ; Georgian - 0x1100, # .. 0x11FF ; Hangul Jamo - 0x1200, # .. 0x137F ; Ethiopic - 0x1380, # .. 0x139F ; Ethiopic Supplement - 0x13A0, # .. 0x13FF ; Cherokee - 0x1400, # .. 0x167F ; Unified Canadian Aboriginal Syllabics - 0x1680, # .. 0x169F ; Ogham - 0x16A0, # .. 0x16FF ; Runic - 0x1700, # .. 0x171F ; Tagalog - 0x1720, # .. 0x173F ; Hanunoo - 0x1740, # .. 0x175F ; Buhid - 0x1760, # .. 0x177F ; Tagbanwa - 0x1780, # .. 0x17FF ; Khmer - 0x1800, # .. 0x18AF ; Mongolian - 0x18B0, # .. 0x18FF ; Unified Canadian Aboriginal Syllabics Extended - 0x1900, # .. 0x194F ; Limbu - 0x1950, # .. 0x197F ; Tai Le - 0x1980, # .. 0x19DF ; New Tai Lue - 0x19E0, # .. 0x19FF ; Khmer Symbols - 0x1A00, # .. 0x1A1F ; Buginese - 0x1A20, # .. 0x1AAF ; Tai Tham - 0x1AB0, # .. 0x1AFF ; Combining Diacritical Marks Extended - 0x1B00, # .. 0x1B7F ; Balinese - 0x1B80, # .. 0x1BBF ; Sundanese - 0x1BC0, # .. 0x1BFF ; Batak - 0x1C00, # .. 0x1C4F ; Lepcha - 0x1C50, # .. 0x1C7F ; Ol Chiki - 0x1C80, # .. 0x1C8F ; Cyrillic Extended-C - 0x1C90, # .. 0x1CBF ; Georgian Extended - 0x1CC0, # .. 0x1CCF ; Sundanese Supplement - 0x1CD0, # .. 0x1CFF ; Vedic Extensions - 0x1D00, # .. 0x1D7F ; Phonetic Extensions - 0x1D80, # .. 0x1DBF ; Phonetic Extensions Supplement - 0x1DC0, # .. 0x1DFF ; Combining Diacritical Marks Supplement - 0x1E00, # .. 0x1EFF ; Latin Extended Additional - 0x1F00, # .. 0x1FFF ; Greek Extended - 0x2000, # .. 0x206F ; General Punctuation - 0x2070, # .. 0x209F ; Superscripts and Subscripts - 0x20A0, # .. 0x20CF ; Currency Symbols - 0x20D0, # .. 0x20FF ; Combining Diacritical Marks for Symbols - 0x2100, # .. 0x214F ; Letterlike Symbols - 0x2150, # .. 0x218F ; Number Forms - 0x2190, # .. 0x21FF ; Arrows - 0x2200, # .. 0x22FF ; Mathematical Operators - 0x2300, # .. 0x23FF ; Miscellaneous Technical - 0x2400, # .. 0x243F ; Control Pictures - 0x2440, # .. 0x245F ; Optical Character Recognition - 0x2460, # .. 0x24FF ; Enclosed Alphanumerics - 0x2500, # .. 0x257F ; Box Drawing - 0x2580, # .. 0x259F ; Block Elements - 0x25A0, # .. 0x25FF ; Geometric Shapes - 0x2600, # .. 0x26FF ; Miscellaneous Symbols - 0x2700, # .. 0x27BF ; Dingbats - 0x27C0, # .. 0x27EF ; Miscellaneous Mathematical Symbols-A - 0x27F0, # .. 0x27FF ; Supplemental Arrows-A - 0x2800, # .. 0x28FF ; Braille Patterns - 0x2900, # .. 0x297F ; Supplemental Arrows-B - 0x2980, # .. 0x29FF ; Miscellaneous Mathematical Symbols-B - 0x2A00, # .. 0x2AFF ; Supplemental Mathematical Operators - 0x2B00, # .. 0x2BFF ; Miscellaneous Symbols and Arrows - 0x2C00, # .. 0x2C5F ; Glagolitic - 0x2C60, # .. 0x2C7F ; Latin Extended-C - 0x2C80, # .. 0x2CFF ; Coptic - 0x2D00, # .. 0x2D2F ; Georgian Supplement - 0x2D30, # .. 0x2D7F ; Tifinagh - 0x2D80, # .. 0x2DDF ; Ethiopic Extended - 0x2DE0, # .. 0x2DFF ; Cyrillic Extended-A - 0x2E00, # .. 0x2E7F ; Supplemental Punctuation - 0x2E80, # .. 0x2EFF ; CJK Radicals Supplement - 0x2F00, # .. 0x2FDF ; Kangxi Radicals - 0x2FE0, # .. 0x2FEF ; No_Block - 0x2FF0, # .. 0x2FFF ; Ideographic Description Characters - 0x3000, # .. 0x303F ; CJK Symbols and Punctuation - 0x3040, # .. 0x309F ; Hiragana - 0x30A0, # .. 0x30FF ; Katakana - 0x3100, # .. 0x312F ; Bopomofo - 0x3130, # .. 0x318F ; Hangul Compatibility Jamo - 0x3190, # .. 0x319F ; Kanbun - 0x31A0, # .. 0x31BF ; Bopomofo Extended - 0x31C0, # .. 0x31EF ; CJK Strokes - 0x31F0, # .. 0x31FF ; Katakana Phonetic Extensions - 0x3200, # .. 0x32FF ; Enclosed CJK Letters and Months - 0x3300, # .. 0x33FF ; CJK Compatibility - 0x3400, # .. 0x4DBF ; CJK Unified Ideographs Extension A - 0x4DC0, # .. 0x4DFF ; Yijing Hexagram Symbols - 0x4E00, # .. 0x9FFF ; CJK Unified Ideographs - 0xA000, # .. 0xA48F ; Yi Syllables - 0xA490, # .. 0xA4CF ; Yi Radicals - 0xA4D0, # .. 0xA4FF ; Lisu - 0xA500, # .. 0xA63F ; Vai - 0xA640, # .. 0xA69F ; Cyrillic Extended-B - 0xA6A0, # .. 0xA6FF ; Bamum - 0xA700, # .. 0xA71F ; Modifier Tone Letters - 0xA720, # .. 0xA7FF ; Latin Extended-D - 0xA800, # .. 0xA82F ; Syloti Nagri - 0xA830, # .. 0xA83F ; Common Indic Number Forms - 0xA840, # .. 0xA87F ; Phags-pa - 0xA880, # .. 0xA8DF ; Saurashtra - 0xA8E0, # .. 0xA8FF ; Devanagari Extended - 0xA900, # .. 0xA92F ; Kayah Li - 0xA930, # .. 0xA95F ; Rejang - 0xA960, # .. 0xA97F ; Hangul Jamo Extended-A - 0xA980, # .. 0xA9DF ; Javanese - 0xA9E0, # .. 0xA9FF ; Myanmar Extended-B - 0xAA00, # .. 0xAA5F ; Cham - 0xAA60, # .. 0xAA7F ; Myanmar Extended-A - 0xAA80, # .. 0xAADF ; Tai Viet - 0xAAE0, # .. 0xAAFF ; Meetei Mayek Extensions - 0xAB00, # .. 0xAB2F ; Ethiopic Extended-A - 0xAB30, # .. 0xAB6F ; Latin Extended-E - 0xAB70, # .. 0xABBF ; Cherokee Supplement - 0xABC0, # .. 0xABFF ; Meetei Mayek - 0xAC00, # .. 0xD7AF ; Hangul Syllables - 0xD7B0, # .. 0xD7FF ; Hangul Jamo Extended-B - 0xD800, # .. 0xDB7F ; High Surrogates - 0xDB80, # .. 0xDBFF ; High Private Use Surrogates - 0xDC00, # .. 0xDFFF ; Low Surrogates - 0xE000, # .. 0xF8FF ; Private Use Area - 0xF900, # .. 0xFAFF ; CJK Compatibility Ideographs - 0xFB00, # .. 0xFB4F ; Alphabetic Presentation Forms - 0xFB50, # .. 0xFDFF ; Arabic Presentation Forms-A - 0xFE00, # .. 0xFE0F ; Variation Selectors - 0xFE10, # .. 0xFE1F ; Vertical Forms - 0xFE20, # .. 0xFE2F ; Combining Half Marks - 0xFE30, # .. 0xFE4F ; CJK Compatibility Forms - 0xFE50, # .. 0xFE6F ; Small Form Variants - 0xFE70, # .. 0xFEFF ; Arabic Presentation Forms-B - 0xFF00, # .. 0xFFEF ; Halfwidth and Fullwidth Forms - 0xFFF0, # .. 0xFFFF ; Specials - 0x10000, # .. 0x1007F ; Linear B Syllabary - 0x10080, # .. 0x100FF ; Linear B Ideograms - 0x10100, # .. 0x1013F ; Aegean Numbers - 0x10140, # .. 0x1018F ; Ancient Greek Numbers - 0x10190, # .. 0x101CF ; Ancient Symbols - 0x101D0, # .. 0x101FF ; Phaistos Disc - 0x10200, # .. 0x1027F ; No_Block - 0x10280, # .. 0x1029F ; Lycian - 0x102A0, # .. 0x102DF ; Carian - 0x102E0, # .. 0x102FF ; Coptic Epact Numbers - 0x10300, # .. 0x1032F ; Old Italic - 0x10330, # .. 0x1034F ; Gothic - 0x10350, # .. 0x1037F ; Old Permic - 0x10380, # .. 0x1039F ; Ugaritic - 0x103A0, # .. 0x103DF ; Old Persian - 0x103E0, # .. 0x103FF ; No_Block - 0x10400, # .. 0x1044F ; Deseret - 0x10450, # .. 0x1047F ; Shavian - 0x10480, # .. 0x104AF ; Osmanya - 0x104B0, # .. 0x104FF ; Osage - 0x10500, # .. 0x1052F ; Elbasan - 0x10530, # .. 0x1056F ; Caucasian Albanian - 0x10570, # .. 0x105BF ; Vithkuqi - 0x105C0, # .. 0x105FF ; No_Block - 0x10600, # .. 0x1077F ; Linear A - 0x10780, # .. 0x107BF ; Latin Extended-F - 0x107C0, # .. 0x107FF ; No_Block - 0x10800, # .. 0x1083F ; Cypriot Syllabary - 0x10840, # .. 0x1085F ; Imperial Aramaic - 0x10860, # .. 0x1087F ; Palmyrene - 0x10880, # .. 0x108AF ; Nabataean - 0x108B0, # .. 0x108DF ; No_Block - 0x108E0, # .. 0x108FF ; Hatran - 0x10900, # .. 0x1091F ; Phoenician - 0x10920, # .. 0x1093F ; Lydian - 0x10940, # .. 0x1097F ; No_Block - 0x10980, # .. 0x1099F ; Meroitic Hieroglyphs - 0x109A0, # .. 0x109FF ; Meroitic Cursive - 0x10A00, # .. 0x10A5F ; Kharoshthi - 0x10A60, # .. 0x10A7F ; Old South Arabian - 0x10A80, # .. 0x10A9F ; Old North Arabian - 0x10AA0, # .. 0x10ABF ; No_Block - 0x10AC0, # .. 0x10AFF ; Manichaean - 0x10B00, # .. 0x10B3F ; Avestan - 0x10B40, # .. 0x10B5F ; Inscriptional Parthian - 0x10B60, # .. 0x10B7F ; Inscriptional Pahlavi - 0x10B80, # .. 0x10BAF ; Psalter Pahlavi - 0x10BB0, # .. 0x10BFF ; No_Block - 0x10C00, # .. 0x10C4F ; Old Turkic - 0x10C50, # .. 0x10C7F ; No_Block - 0x10C80, # .. 0x10CFF ; Old Hungarian - 0x10D00, # .. 0x10D3F ; Hanifi Rohingya - 0x10D40, # .. 0x10E5F ; No_Block - 0x10E60, # .. 0x10E7F ; Rumi Numeral Symbols - 0x10E80, # .. 0x10EBF ; Yezidi - 0x10EC0, # .. 0x10EFF ; Arabic Extended-C - 0x10F00, # .. 0x10F2F ; Old Sogdian - 0x10F30, # .. 0x10F6F ; Sogdian - 0x10F70, # .. 0x10FAF ; Old Uyghur - 0x10FB0, # .. 0x10FDF ; Chorasmian - 0x10FE0, # .. 0x10FFF ; Elymaic - 0x11000, # .. 0x1107F ; Brahmi - 0x11080, # .. 0x110CF ; Kaithi - 0x110D0, # .. 0x110FF ; Sora Sompeng - 0x11100, # .. 0x1114F ; Chakma - 0x11150, # .. 0x1117F ; Mahajani - 0x11180, # .. 0x111DF ; Sharada - 0x111E0, # .. 0x111FF ; Sinhala Archaic Numbers - 0x11200, # .. 0x1124F ; Khojki - 0x11250, # .. 0x1127F ; No_Block - 0x11280, # .. 0x112AF ; Multani - 0x112B0, # .. 0x112FF ; Khudawadi - 0x11300, # .. 0x1137F ; Grantha - 0x11380, # .. 0x113FF ; No_Block - 0x11400, # .. 0x1147F ; Newa - 0x11480, # .. 0x114DF ; Tirhuta - 0x114E0, # .. 0x1157F ; No_Block - 0x11580, # .. 0x115FF ; Siddham - 0x11600, # .. 0x1165F ; Modi - 0x11660, # .. 0x1167F ; Mongolian Supplement - 0x11680, # .. 0x116CF ; Takri - 0x116D0, # .. 0x116FF ; No_Block - 0x11700, # .. 0x1174F ; Ahom - 0x11750, # .. 0x117FF ; No_Block - 0x11800, # .. 0x1184F ; Dogra - 0x11850, # .. 0x1189F ; No_Block - 0x118A0, # .. 0x118FF ; Warang Citi - 0x11900, # .. 0x1195F ; Dives Akuru - 0x11960, # .. 0x1199F ; No_Block - 0x119A0, # .. 0x119FF ; Nandinagari - 0x11A00, # .. 0x11A4F ; Zanabazar Square - 0x11A50, # .. 0x11AAF ; Soyombo - 0x11AB0, # .. 0x11ABF ; Unified Canadian Aboriginal Syllabics Extended-A - 0x11AC0, # .. 0x11AFF ; Pau Cin Hau - 0x11B00, # .. 0x11B5F ; Devanagari Extended-A - 0x11B60, # .. 0x11BFF ; No_Block - 0x11C00, # .. 0x11C6F ; Bhaiksuki - 0x11C70, # .. 0x11CBF ; Marchen - 0x11CC0, # .. 0x11CFF ; No_Block - 0x11D00, # .. 0x11D5F ; Masaram Gondi - 0x11D60, # .. 0x11DAF ; Gunjala Gondi - 0x11DB0, # .. 0x11EDF ; No_Block - 0x11EE0, # .. 0x11EFF ; Makasar - 0x11F00, # .. 0x11F5F ; Kawi - 0x11F60, # .. 0x11FAF ; No_Block - 0x11FB0, # .. 0x11FBF ; Lisu Supplement - 0x11FC0, # .. 0x11FFF ; Tamil Supplement - 0x12000, # .. 0x123FF ; Cuneiform - 0x12400, # .. 0x1247F ; Cuneiform Numbers and Punctuation - 0x12480, # .. 0x1254F ; Early Dynastic Cuneiform - 0x12550, # .. 0x12F8F ; No_Block - 0x12F90, # .. 0x12FFF ; Cypro-Minoan - 0x13000, # .. 0x1342F ; Egyptian Hieroglyphs - 0x13430, # .. 0x1345F ; Egyptian Hieroglyph Format Controls - 0x13460, # .. 0x143FF ; No_Block - 0x14400, # .. 0x1467F ; Anatolian Hieroglyphs - 0x14680, # .. 0x167FF ; No_Block - 0x16800, # .. 0x16A3F ; Bamum Supplement - 0x16A40, # .. 0x16A6F ; Mro - 0x16A70, # .. 0x16ACF ; Tangsa - 0x16AD0, # .. 0x16AFF ; Bassa Vah - 0x16B00, # .. 0x16B8F ; Pahawh Hmong - 0x16B90, # .. 0x16E3F ; No_Block - 0x16E40, # .. 0x16E9F ; Medefaidrin - 0x16EA0, # .. 0x16EFF ; No_Block - 0x16F00, # .. 0x16F9F ; Miao - 0x16FA0, # .. 0x16FDF ; No_Block - 0x16FE0, # .. 0x16FFF ; Ideographic Symbols and Punctuation - 0x17000, # .. 0x187FF ; Tangut - 0x18800, # .. 0x18AFF ; Tangut Components - 0x18B00, # .. 0x18CFF ; Khitan Small Script - 0x18D00, # .. 0x18D7F ; Tangut Supplement - 0x18D80, # .. 0x1AFEF ; No_Block - 0x1AFF0, # .. 0x1AFFF ; Kana Extended-B - 0x1B000, # .. 0x1B0FF ; Kana Supplement - 0x1B100, # .. 0x1B12F ; Kana Extended-A - 0x1B130, # .. 0x1B16F ; Small Kana Extension - 0x1B170, # .. 0x1B2FF ; Nushu - 0x1B300, # .. 0x1BBFF ; No_Block - 0x1BC00, # .. 0x1BC9F ; Duployan - 0x1BCA0, # .. 0x1BCAF ; Shorthand Format Controls - 0x1BCB0, # .. 0x1CEFF ; No_Block - 0x1CF00, # .. 0x1CFCF ; Znamenny Musical Notation - 0x1CFD0, # .. 0x1CFFF ; No_Block - 0x1D000, # .. 0x1D0FF ; Byzantine Musical Symbols - 0x1D100, # .. 0x1D1FF ; Musical Symbols - 0x1D200, # .. 0x1D24F ; Ancient Greek Musical Notation - 0x1D250, # .. 0x1D2BF ; No_Block - 0x1D2C0, # .. 0x1D2DF ; Kaktovik Numerals - 0x1D2E0, # .. 0x1D2FF ; Mayan Numerals - 0x1D300, # .. 0x1D35F ; Tai Xuan Jing Symbols - 0x1D360, # .. 0x1D37F ; Counting Rod Numerals - 0x1D380, # .. 0x1D3FF ; No_Block - 0x1D400, # .. 0x1D7FF ; Mathematical Alphanumeric Symbols - 0x1D800, # .. 0x1DAAF ; Sutton SignWriting - 0x1DAB0, # .. 0x1DEFF ; No_Block - 0x1DF00, # .. 0x1DFFF ; Latin Extended-G - 0x1E000, # .. 0x1E02F ; Glagolitic Supplement - 0x1E030, # .. 0x1E08F ; Cyrillic Extended-D - 0x1E090, # .. 0x1E0FF ; No_Block - 0x1E100, # .. 0x1E14F ; Nyiakeng Puachue Hmong - 0x1E150, # .. 0x1E28F ; No_Block - 0x1E290, # .. 0x1E2BF ; Toto - 0x1E2C0, # .. 0x1E2FF ; Wancho - 0x1E300, # .. 0x1E4CF ; No_Block - 0x1E4D0, # .. 0x1E4FF ; Nag Mundari - 0x1E500, # .. 0x1E7DF ; No_Block - 0x1E7E0, # .. 0x1E7FF ; Ethiopic Extended-B - 0x1E800, # .. 0x1E8DF ; Mende Kikakui - 0x1E8E0, # .. 0x1E8FF ; No_Block - 0x1E900, # .. 0x1E95F ; Adlam - 0x1E960, # .. 0x1EC6F ; No_Block - 0x1EC70, # .. 0x1ECBF ; Indic Siyaq Numbers - 0x1ECC0, # .. 0x1ECFF ; No_Block - 0x1ED00, # .. 0x1ED4F ; Ottoman Siyaq Numbers - 0x1ED50, # .. 0x1EDFF ; No_Block - 0x1EE00, # .. 0x1EEFF ; Arabic Mathematical Alphabetic Symbols - 0x1EF00, # .. 0x1EFFF ; No_Block - 0x1F000, # .. 0x1F02F ; Mahjong Tiles - 0x1F030, # .. 0x1F09F ; Domino Tiles - 0x1F0A0, # .. 0x1F0FF ; Playing Cards - 0x1F100, # .. 0x1F1FF ; Enclosed Alphanumeric Supplement - 0x1F200, # .. 0x1F2FF ; Enclosed Ideographic Supplement - 0x1F300, # .. 0x1F5FF ; Miscellaneous Symbols and Pictographs - 0x1F600, # .. 0x1F64F ; Emoticons - 0x1F650, # .. 0x1F67F ; Ornamental Dingbats - 0x1F680, # .. 0x1F6FF ; Transport and Map Symbols - 0x1F700, # .. 0x1F77F ; Alchemical Symbols - 0x1F780, # .. 0x1F7FF ; Geometric Shapes Extended - 0x1F800, # .. 0x1F8FF ; Supplemental Arrows-C - 0x1F900, # .. 0x1F9FF ; Supplemental Symbols and Pictographs - 0x1FA00, # .. 0x1FA6F ; Chess Symbols - 0x1FA70, # .. 0x1FAFF ; Symbols and Pictographs Extended-A - 0x1FB00, # .. 0x1FBFF ; Symbols for Legacy Computing - 0x1FC00, # .. 0x1FFFF ; No_Block - 0x20000, # .. 0x2A6DF ; CJK Unified Ideographs Extension B - 0x2A6E0, # .. 0x2A6FF ; No_Block - 0x2A700, # .. 0x2B73F ; CJK Unified Ideographs Extension C - 0x2B740, # .. 0x2B81F ; CJK Unified Ideographs Extension D - 0x2B820, # .. 0x2CEAF ; CJK Unified Ideographs Extension E - 0x2CEB0, # .. 0x2EBEF ; CJK Unified Ideographs Extension F - 0x2EBF0, # .. 0x2F7FF ; No_Block - 0x2F800, # .. 0x2FA1F ; CJK Compatibility Ideographs Supplement - 0x2FA20, # .. 0x2FFFF ; No_Block - 0x30000, # .. 0x3134F ; CJK Unified Ideographs Extension G - 0x31350, # .. 0x323AF ; CJK Unified Ideographs Extension H - 0x323B0, # .. 0xDFFFF ; No_Block - 0xE0000, # .. 0xE007F ; Tags - 0xE0080, # .. 0xE00FF ; No_Block - 0xE0100, # .. 0xE01EF ; Variation Selectors Supplement - 0xE01F0, # .. 0xEFFFF ; No_Block - 0xF0000, # .. 0xFFFFF ; Supplementary Private Use Area-A - 0x100000, # .. 0x10FFFF ; Supplementary Private Use Area-B -] - -VALUES = [ - "Basic Latin", # 0000..007F - "Latin-1 Supplement", # 0080..00FF - "Latin Extended-A", # 0100..017F - "Latin Extended-B", # 0180..024F - "IPA Extensions", # 0250..02AF - "Spacing Modifier Letters", # 02B0..02FF - "Combining Diacritical Marks", # 0300..036F - "Greek and Coptic", # 0370..03FF - "Cyrillic", # 0400..04FF - "Cyrillic Supplement", # 0500..052F - "Armenian", # 0530..058F - "Hebrew", # 0590..05FF - "Arabic", # 0600..06FF - "Syriac", # 0700..074F - "Arabic Supplement", # 0750..077F - "Thaana", # 0780..07BF - "NKo", # 07C0..07FF - "Samaritan", # 0800..083F - "Mandaic", # 0840..085F - "Syriac Supplement", # 0860..086F - "Arabic Extended-B", # 0870..089F - "Arabic Extended-A", # 08A0..08FF - "Devanagari", # 0900..097F - "Bengali", # 0980..09FF - "Gurmukhi", # 0A00..0A7F - "Gujarati", # 0A80..0AFF - "Oriya", # 0B00..0B7F - "Tamil", # 0B80..0BFF - "Telugu", # 0C00..0C7F - "Kannada", # 0C80..0CFF - "Malayalam", # 0D00..0D7F - "Sinhala", # 0D80..0DFF - "Thai", # 0E00..0E7F - "Lao", # 0E80..0EFF - "Tibetan", # 0F00..0FFF - "Myanmar", # 1000..109F - "Georgian", # 10A0..10FF - "Hangul Jamo", # 1100..11FF - "Ethiopic", # 1200..137F - "Ethiopic Supplement", # 1380..139F - "Cherokee", # 13A0..13FF - "Unified Canadian Aboriginal Syllabics", # 1400..167F - "Ogham", # 1680..169F - "Runic", # 16A0..16FF - "Tagalog", # 1700..171F - "Hanunoo", # 1720..173F - "Buhid", # 1740..175F - "Tagbanwa", # 1760..177F - "Khmer", # 1780..17FF - "Mongolian", # 1800..18AF - "Unified Canadian Aboriginal Syllabics Extended", # 18B0..18FF - "Limbu", # 1900..194F - "Tai Le", # 1950..197F - "New Tai Lue", # 1980..19DF - "Khmer Symbols", # 19E0..19FF - "Buginese", # 1A00..1A1F - "Tai Tham", # 1A20..1AAF - "Combining Diacritical Marks Extended", # 1AB0..1AFF - "Balinese", # 1B00..1B7F - "Sundanese", # 1B80..1BBF - "Batak", # 1BC0..1BFF - "Lepcha", # 1C00..1C4F - "Ol Chiki", # 1C50..1C7F - "Cyrillic Extended-C", # 1C80..1C8F - "Georgian Extended", # 1C90..1CBF - "Sundanese Supplement", # 1CC0..1CCF - "Vedic Extensions", # 1CD0..1CFF - "Phonetic Extensions", # 1D00..1D7F - "Phonetic Extensions Supplement", # 1D80..1DBF - "Combining Diacritical Marks Supplement", # 1DC0..1DFF - "Latin Extended Additional", # 1E00..1EFF - "Greek Extended", # 1F00..1FFF - "General Punctuation", # 2000..206F - "Superscripts and Subscripts", # 2070..209F - "Currency Symbols", # 20A0..20CF - "Combining Diacritical Marks for Symbols", # 20D0..20FF - "Letterlike Symbols", # 2100..214F - "Number Forms", # 2150..218F - "Arrows", # 2190..21FF - "Mathematical Operators", # 2200..22FF - "Miscellaneous Technical", # 2300..23FF - "Control Pictures", # 2400..243F - "Optical Character Recognition", # 2440..245F - "Enclosed Alphanumerics", # 2460..24FF - "Box Drawing", # 2500..257F - "Block Elements", # 2580..259F - "Geometric Shapes", # 25A0..25FF - "Miscellaneous Symbols", # 2600..26FF - "Dingbats", # 2700..27BF - "Miscellaneous Mathematical Symbols-A", # 27C0..27EF - "Supplemental Arrows-A", # 27F0..27FF - "Braille Patterns", # 2800..28FF - "Supplemental Arrows-B", # 2900..297F - "Miscellaneous Mathematical Symbols-B", # 2980..29FF - "Supplemental Mathematical Operators", # 2A00..2AFF - "Miscellaneous Symbols and Arrows", # 2B00..2BFF - "Glagolitic", # 2C00..2C5F - "Latin Extended-C", # 2C60..2C7F - "Coptic", # 2C80..2CFF - "Georgian Supplement", # 2D00..2D2F - "Tifinagh", # 2D30..2D7F - "Ethiopic Extended", # 2D80..2DDF - "Cyrillic Extended-A", # 2DE0..2DFF - "Supplemental Punctuation", # 2E00..2E7F - "CJK Radicals Supplement", # 2E80..2EFF - "Kangxi Radicals", # 2F00..2FDF - "No_Block", # 2FE0..2FEF - "Ideographic Description Characters", # 2FF0..2FFF - "CJK Symbols and Punctuation", # 3000..303F - "Hiragana", # 3040..309F - "Katakana", # 30A0..30FF - "Bopomofo", # 3100..312F - "Hangul Compatibility Jamo", # 3130..318F - "Kanbun", # 3190..319F - "Bopomofo Extended", # 31A0..31BF - "CJK Strokes", # 31C0..31EF - "Katakana Phonetic Extensions", # 31F0..31FF - "Enclosed CJK Letters and Months", # 3200..32FF - "CJK Compatibility", # 3300..33FF - "CJK Unified Ideographs Extension A", # 3400..4DBF - "Yijing Hexagram Symbols", # 4DC0..4DFF - "CJK Unified Ideographs", # 4E00..9FFF - "Yi Syllables", # A000..A48F - "Yi Radicals", # A490..A4CF - "Lisu", # A4D0..A4FF - "Vai", # A500..A63F - "Cyrillic Extended-B", # A640..A69F - "Bamum", # A6A0..A6FF - "Modifier Tone Letters", # A700..A71F - "Latin Extended-D", # A720..A7FF - "Syloti Nagri", # A800..A82F - "Common Indic Number Forms", # A830..A83F - "Phags-pa", # A840..A87F - "Saurashtra", # A880..A8DF - "Devanagari Extended", # A8E0..A8FF - "Kayah Li", # A900..A92F - "Rejang", # A930..A95F - "Hangul Jamo Extended-A", # A960..A97F - "Javanese", # A980..A9DF - "Myanmar Extended-B", # A9E0..A9FF - "Cham", # AA00..AA5F - "Myanmar Extended-A", # AA60..AA7F - "Tai Viet", # AA80..AADF - "Meetei Mayek Extensions", # AAE0..AAFF - "Ethiopic Extended-A", # AB00..AB2F - "Latin Extended-E", # AB30..AB6F - "Cherokee Supplement", # AB70..ABBF - "Meetei Mayek", # ABC0..ABFF - "Hangul Syllables", # AC00..D7AF - "Hangul Jamo Extended-B", # D7B0..D7FF - "High Surrogates", # D800..DB7F - "High Private Use Surrogates", # DB80..DBFF - "Low Surrogates", # DC00..DFFF - "Private Use Area", # E000..F8FF - "CJK Compatibility Ideographs", # F900..FAFF - "Alphabetic Presentation Forms", # FB00..FB4F - "Arabic Presentation Forms-A", # FB50..FDFF - "Variation Selectors", # FE00..FE0F - "Vertical Forms", # FE10..FE1F - "Combining Half Marks", # FE20..FE2F - "CJK Compatibility Forms", # FE30..FE4F - "Small Form Variants", # FE50..FE6F - "Arabic Presentation Forms-B", # FE70..FEFF - "Halfwidth and Fullwidth Forms", # FF00..FFEF - "Specials", # FFF0..FFFF - "Linear B Syllabary", # 10000..1007F - "Linear B Ideograms", # 10080..100FF - "Aegean Numbers", # 10100..1013F - "Ancient Greek Numbers", # 10140..1018F - "Ancient Symbols", # 10190..101CF - "Phaistos Disc", # 101D0..101FF - "No_Block", # 10200..1027F - "Lycian", # 10280..1029F - "Carian", # 102A0..102DF - "Coptic Epact Numbers", # 102E0..102FF - "Old Italic", # 10300..1032F - "Gothic", # 10330..1034F - "Old Permic", # 10350..1037F - "Ugaritic", # 10380..1039F - "Old Persian", # 103A0..103DF - "No_Block", # 103E0..103FF - "Deseret", # 10400..1044F - "Shavian", # 10450..1047F - "Osmanya", # 10480..104AF - "Osage", # 104B0..104FF - "Elbasan", # 10500..1052F - "Caucasian Albanian", # 10530..1056F - "Vithkuqi", # 10570..105BF - "No_Block", # 105C0..105FF - "Linear A", # 10600..1077F - "Latin Extended-F", # 10780..107BF - "No_Block", # 107C0..107FF - "Cypriot Syllabary", # 10800..1083F - "Imperial Aramaic", # 10840..1085F - "Palmyrene", # 10860..1087F - "Nabataean", # 10880..108AF - "No_Block", # 108B0..108DF - "Hatran", # 108E0..108FF - "Phoenician", # 10900..1091F - "Lydian", # 10920..1093F - "No_Block", # 10940..1097F - "Meroitic Hieroglyphs", # 10980..1099F - "Meroitic Cursive", # 109A0..109FF - "Kharoshthi", # 10A00..10A5F - "Old South Arabian", # 10A60..10A7F - "Old North Arabian", # 10A80..10A9F - "No_Block", # 10AA0..10ABF - "Manichaean", # 10AC0..10AFF - "Avestan", # 10B00..10B3F - "Inscriptional Parthian", # 10B40..10B5F - "Inscriptional Pahlavi", # 10B60..10B7F - "Psalter Pahlavi", # 10B80..10BAF - "No_Block", # 10BB0..10BFF - "Old Turkic", # 10C00..10C4F - "No_Block", # 10C50..10C7F - "Old Hungarian", # 10C80..10CFF - "Hanifi Rohingya", # 10D00..10D3F - "No_Block", # 10D40..10E5F - "Rumi Numeral Symbols", # 10E60..10E7F - "Yezidi", # 10E80..10EBF - "Arabic Extended-C", # 10EC0..10EFF - "Old Sogdian", # 10F00..10F2F - "Sogdian", # 10F30..10F6F - "Old Uyghur", # 10F70..10FAF - "Chorasmian", # 10FB0..10FDF - "Elymaic", # 10FE0..10FFF - "Brahmi", # 11000..1107F - "Kaithi", # 11080..110CF - "Sora Sompeng", # 110D0..110FF - "Chakma", # 11100..1114F - "Mahajani", # 11150..1117F - "Sharada", # 11180..111DF - "Sinhala Archaic Numbers", # 111E0..111FF - "Khojki", # 11200..1124F - "No_Block", # 11250..1127F - "Multani", # 11280..112AF - "Khudawadi", # 112B0..112FF - "Grantha", # 11300..1137F - "No_Block", # 11380..113FF - "Newa", # 11400..1147F - "Tirhuta", # 11480..114DF - "No_Block", # 114E0..1157F - "Siddham", # 11580..115FF - "Modi", # 11600..1165F - "Mongolian Supplement", # 11660..1167F - "Takri", # 11680..116CF - "No_Block", # 116D0..116FF - "Ahom", # 11700..1174F - "No_Block", # 11750..117FF - "Dogra", # 11800..1184F - "No_Block", # 11850..1189F - "Warang Citi", # 118A0..118FF - "Dives Akuru", # 11900..1195F - "No_Block", # 11960..1199F - "Nandinagari", # 119A0..119FF - "Zanabazar Square", # 11A00..11A4F - "Soyombo", # 11A50..11AAF - "Unified Canadian Aboriginal Syllabics Extended-A", # 11AB0..11ABF - "Pau Cin Hau", # 11AC0..11AFF - "Devanagari Extended-A", # 11B00..11B5F - "No_Block", # 11B60..11BFF - "Bhaiksuki", # 11C00..11C6F - "Marchen", # 11C70..11CBF - "No_Block", # 11CC0..11CFF - "Masaram Gondi", # 11D00..11D5F - "Gunjala Gondi", # 11D60..11DAF - "No_Block", # 11DB0..11EDF - "Makasar", # 11EE0..11EFF - "Kawi", # 11F00..11F5F - "No_Block", # 11F60..11FAF - "Lisu Supplement", # 11FB0..11FBF - "Tamil Supplement", # 11FC0..11FFF - "Cuneiform", # 12000..123FF - "Cuneiform Numbers and Punctuation", # 12400..1247F - "Early Dynastic Cuneiform", # 12480..1254F - "No_Block", # 12550..12F8F - "Cypro-Minoan", # 12F90..12FFF - "Egyptian Hieroglyphs", # 13000..1342F - "Egyptian Hieroglyph Format Controls", # 13430..1345F - "No_Block", # 13460..143FF - "Anatolian Hieroglyphs", # 14400..1467F - "No_Block", # 14680..167FF - "Bamum Supplement", # 16800..16A3F - "Mro", # 16A40..16A6F - "Tangsa", # 16A70..16ACF - "Bassa Vah", # 16AD0..16AFF - "Pahawh Hmong", # 16B00..16B8F - "No_Block", # 16B90..16E3F - "Medefaidrin", # 16E40..16E9F - "No_Block", # 16EA0..16EFF - "Miao", # 16F00..16F9F - "No_Block", # 16FA0..16FDF - "Ideographic Symbols and Punctuation", # 16FE0..16FFF - "Tangut", # 17000..187FF - "Tangut Components", # 18800..18AFF - "Khitan Small Script", # 18B00..18CFF - "Tangut Supplement", # 18D00..18D7F - "No_Block", # 18D80..1AFEF - "Kana Extended-B", # 1AFF0..1AFFF - "Kana Supplement", # 1B000..1B0FF - "Kana Extended-A", # 1B100..1B12F - "Small Kana Extension", # 1B130..1B16F - "Nushu", # 1B170..1B2FF - "No_Block", # 1B300..1BBFF - "Duployan", # 1BC00..1BC9F - "Shorthand Format Controls", # 1BCA0..1BCAF - "No_Block", # 1BCB0..1CEFF - "Znamenny Musical Notation", # 1CF00..1CFCF - "No_Block", # 1CFD0..1CFFF - "Byzantine Musical Symbols", # 1D000..1D0FF - "Musical Symbols", # 1D100..1D1FF - "Ancient Greek Musical Notation", # 1D200..1D24F - "No_Block", # 1D250..1D2BF - "Kaktovik Numerals", # 1D2C0..1D2DF - "Mayan Numerals", # 1D2E0..1D2FF - "Tai Xuan Jing Symbols", # 1D300..1D35F - "Counting Rod Numerals", # 1D360..1D37F - "No_Block", # 1D380..1D3FF - "Mathematical Alphanumeric Symbols", # 1D400..1D7FF - "Sutton SignWriting", # 1D800..1DAAF - "No_Block", # 1DAB0..1DEFF - "Latin Extended-G", # 1DF00..1DFFF - "Glagolitic Supplement", # 1E000..1E02F - "Cyrillic Extended-D", # 1E030..1E08F - "No_Block", # 1E090..1E0FF - "Nyiakeng Puachue Hmong", # 1E100..1E14F - "No_Block", # 1E150..1E28F - "Toto", # 1E290..1E2BF - "Wancho", # 1E2C0..1E2FF - "No_Block", # 1E300..1E4CF - "Nag Mundari", # 1E4D0..1E4FF - "No_Block", # 1E500..1E7DF - "Ethiopic Extended-B", # 1E7E0..1E7FF - "Mende Kikakui", # 1E800..1E8DF - "No_Block", # 1E8E0..1E8FF - "Adlam", # 1E900..1E95F - "No_Block", # 1E960..1EC6F - "Indic Siyaq Numbers", # 1EC70..1ECBF - "No_Block", # 1ECC0..1ECFF - "Ottoman Siyaq Numbers", # 1ED00..1ED4F - "No_Block", # 1ED50..1EDFF - "Arabic Mathematical Alphabetic Symbols", # 1EE00..1EEFF - "No_Block", # 1EF00..1EFFF - "Mahjong Tiles", # 1F000..1F02F - "Domino Tiles", # 1F030..1F09F - "Playing Cards", # 1F0A0..1F0FF - "Enclosed Alphanumeric Supplement", # 1F100..1F1FF - "Enclosed Ideographic Supplement", # 1F200..1F2FF - "Miscellaneous Symbols and Pictographs", # 1F300..1F5FF - "Emoticons", # 1F600..1F64F - "Ornamental Dingbats", # 1F650..1F67F - "Transport and Map Symbols", # 1F680..1F6FF - "Alchemical Symbols", # 1F700..1F77F - "Geometric Shapes Extended", # 1F780..1F7FF - "Supplemental Arrows-C", # 1F800..1F8FF - "Supplemental Symbols and Pictographs", # 1F900..1F9FF - "Chess Symbols", # 1FA00..1FA6F - "Symbols and Pictographs Extended-A", # 1FA70..1FAFF - "Symbols for Legacy Computing", # 1FB00..1FBFF - "No_Block", # 1FC00..1FFFF - "CJK Unified Ideographs Extension B", # 20000..2A6DF - "No_Block", # 2A6E0..2A6FF - "CJK Unified Ideographs Extension C", # 2A700..2B73F - "CJK Unified Ideographs Extension D", # 2B740..2B81F - "CJK Unified Ideographs Extension E", # 2B820..2CEAF - "CJK Unified Ideographs Extension F", # 2CEB0..2EBEF - "No_Block", # 2EBF0..2F7FF - "CJK Compatibility Ideographs Supplement", # 2F800..2FA1F - "No_Block", # 2FA20..2FFFF - "CJK Unified Ideographs Extension G", # 30000..3134F - "CJK Unified Ideographs Extension H", # 31350..323AF - "No_Block", # 323B0..DFFFF - "Tags", # E0000..E007F - "No_Block", # E0080..E00FF - "Variation Selectors Supplement", # E0100..E01EF - "No_Block", # E01F0..EFFFF - "Supplementary Private Use Area-A", # F0000..FFFFF - "Supplementary Private Use Area-B", # 100000..10FFFF -] diff --git a/spaces/cloudtheboi/Lofi4All/.pythonlibs/lib/python3.10/site-packages/fontTools/merge/__main__.py b/spaces/cloudtheboi/Lofi4All/.pythonlibs/lib/python3.10/site-packages/fontTools/merge/__main__.py deleted file mode 100644 index ff632d49c54e678623a27998a9d51b7cf84df81f..0000000000000000000000000000000000000000 --- a/spaces/cloudtheboi/Lofi4All/.pythonlibs/lib/python3.10/site-packages/fontTools/merge/__main__.py +++ /dev/null @@ -1,6 +0,0 @@ -import sys -from fontTools.merge import main - - -if __name__ == "__main__": - sys.exit(main()) diff --git a/spaces/cloudtheboi/Lofi4All/.pythonlibs/lib/python3.10/site-packages/fontTools/ttLib/tables/M_V_A_R_.py b/spaces/cloudtheboi/Lofi4All/.pythonlibs/lib/python3.10/site-packages/fontTools/ttLib/tables/M_V_A_R_.py deleted file mode 100644 index 8371795eb2f2d2c233ec1725b8a2c21453170f23..0000000000000000000000000000000000000000 --- a/spaces/cloudtheboi/Lofi4All/.pythonlibs/lib/python3.10/site-packages/fontTools/ttLib/tables/M_V_A_R_.py +++ /dev/null @@ -1,5 +0,0 @@ -from .otBase import BaseTTXConverter - - -class table_M_V_A_R_(BaseTTXConverter): - pass diff --git a/spaces/codedog-ai/edu-assistant/edu_assistant/learning_tasks/qa.py b/spaces/codedog-ai/edu-assistant/edu_assistant/learning_tasks/qa.py deleted file mode 100644 index 3a8fb578f3524b4a737d8b7698db3206bb244d8c..0000000000000000000000000000000000000000 --- a/spaces/codedog-ai/edu-assistant/edu_assistant/learning_tasks/qa.py +++ /dev/null @@ -1,205 +0,0 @@ -from langchain import LLMChain, PromptTemplate -from langchain.chains import ( - ConversationalRetrievalChain, - ConversationChain, - RetrievalQA, -) -from langchain.chains.base import Chain -from langchain.memory import ConversationBufferMemory -from langchain.schema import BaseRetriever - -from edu_assistant.learning_tasks.base import BaseTask -from edu_assistant.utils.langchain_utils import load_gpt4_llm, load_llm - -TEMPLATE_CHAT = """The following is a friendly conversation between a human and an ai. -The ai is talkative and provides lots of specific details from its context. -If the ai does not know the answer to a question, it truthfully says it does not know. -The ai act following below instructions: ---- -{instruction} ---- - - -Current conversation: -{{chat_history}} -Human: {{input}} -AI:""" - -TEMPLATE_CHAT_CONTEXT = """The following is a friendly conversation between a human and an ai. -The ai is talkative and provides lots of specific details from its context. -If the ai does not know the answer to a question, it truthfully says it does not know. -The ai act following below instructions: ---- -{instruction} ---- -Useful context for you to answer the question: ---- -{{context}} ---- - -Current conversation: -{{chat_history}} -Human: {{question}} -AI:""" - -TEMPLATE_ONCE = """The following is a friendly conversation between a human and an ai. -The ai is talkative and provides lots of specific details from its context. -If the ai does not know the answer to a question, it truthfully says it does not know. -The ai act following below instructions: ---- -{instruction} ---- - -{{input}} -""" - -TEMPLATE_ONCE_CONTEXT = """The following is a friendly conversation between a human and an ai. -The ai is talkative and provides lots of specific details from its context. -If the ai does not know the answer to a question, it truthfully says it does not know. -The ai act following below instructions: ---- -{instruction} ---- -Useful context for you to answer the question: ---- -{{context}} ---- - -{{input}} -""" - -DEFAULT_INSTRUCTION = """Act as a c++ professional to answer student aged 5-10 questions. Answer properly and politely. -Don't extend conversation multiple times. Only add one time saying.""" - - -class QaTask(BaseTask): - _session_store: dict - _knowledge: BaseRetriever | None - _qa_once: Chain - - HISTORY_KEY = "chat_history" - - def __init__(self, instruction: str = DEFAULT_INSTRUCTION, knowledge: BaseRetriever = None, enable_gpt4=False): - """Create a new QaTask service. - - Args: - instruction (str, optional): Instruction for this task ai. Defaults to "". - knowledge (BaseRetriever, optional): Answer question with this knowledge retriever. - If not set, will not use knowledge to answer question. - Defaults to None. - session_store (dict, optional): chat history store. Defaults to None. - If not set, will use internal memory to store chat history. Which will be lost after restart and might - cost huge memory. - """ - self.enable_gpt4 = enable_gpt4 - # TODO: load threshold key from implement. value from config - self.vectordbkwargs = {"score_threshold": 0.9} # Qdrant cosine. higher is better. - - if knowledge: - self._chat_prompt = PromptTemplate.from_template(TEMPLATE_CHAT_CONTEXT.format(instruction=instruction)) - self._once_prompt = PromptTemplate.from_template(TEMPLATE_ONCE_CONTEXT.format(instruction=instruction)) - self._input_key = "question" - self._output_key = "answer" - else: - self._chat_prompt = PromptTemplate.from_template(TEMPLATE_CHAT.format(instruction=instruction)) - self._once_prompt = PromptTemplate.from_template(TEMPLATE_ONCE.format(instruction=instruction)) - self._input_key = "input" - self._output_key = "response" - - self._session_store = {} - self._knowledge = knowledge - - self._init_llm() - - self._qa_once = self._build_once_chain() - - def ask( - self, - question: str, - session: bool = True, - session_id: str = None, - session_mem: ConversationBufferMemory | None = None, - ) -> dict: - """ask a question with chat history. - - Args: - question (str): question to llm. - session (bool, optional): whether use and store chat history. Defaults to False. - if session_id is not set, a new session will be created. - session_id (str, optional): specify a history qa session. Defaults to None. - session_mem (list | None, optional): specify session memory. Defaults to None. - if session_id is also set, memory will be replaced by passed one. - - Returns: - dict: question answer and metadata. - contains answer. - contains session_id if session is True. - """ - - if session: - args = {self._input_key: question} - if session_id and session_id in self._session_store: - chain = self._session_store[session_id] - else: - session_id = self._create_session_id() - chain = self._create_session_chain(session_id) - else: - args = {self._input_key: question, QaTask.HISTORY_KEY: ""} - chain = self._qa_once - - if session_mem: - chain.memory = session_mem - - # TODO: ConversationalRetrievalChain should support vectordbkwargs - # if self._knowledge: - # args["vectordbkwargs"] = self.vectordbkwargs - result = chain(args) - - if session_id: - result["session_id"] = session_id - - return result - - def _init_llm(self): - self._main_llm = load_gpt4_llm() if self.enable_gpt4 else load_llm() - self._secondary_llm = load_llm() - - def _build_once_chain(self): - if not self._knowledge: - return LLMChain( - llm=self._main_llm, - prompt=self._once_prompt, - ) - else: - return RetrievalQA.from_llm( - llm=self._main_llm, - retriever=self._knowledge, - return_source_documents=True, - prompt=self._once_prompt, - ) - - def _build_chat_chain(self): - if not self._knowledge: - return ConversationChain( - llm=self._main_llm, - memory=ConversationBufferMemory( - memory_key=QaTask.HISTORY_KEY, output_key=self._output_key, return_messages=True - ), - prompt=self._chat_prompt, - ) - else: - return ConversationalRetrievalChain.from_llm( - llm=self._main_llm, - retriever=self._knowledge, - condense_question_llm=self._secondary_llm, - return_source_documents=True, - combine_docs_chain_kwargs={"prompt": self._chat_prompt}, - memory=ConversationBufferMemory( - memory_key=QaTask.HISTORY_KEY, output_key=self._output_key, return_messages=True - ), - ) - - def _create_session_chain(self, session_id) -> ConversationChain: - chain = self._build_chat_chain() - self._session_store[session_id] = chain - return chain diff --git a/spaces/codejin/diffsingerkr/Modules/Diffusion.py b/spaces/codejin/diffsingerkr/Modules/Diffusion.py deleted file mode 100644 index c4a27ebabe4518be94b8f9fb8940a5ab99907c03..0000000000000000000000000000000000000000 --- a/spaces/codejin/diffsingerkr/Modules/Diffusion.py +++ /dev/null @@ -1,403 +0,0 @@ -import torch -import math -from argparse import Namespace -from typing import Optional, List, Dict, Union -from tqdm import tqdm - -from .Layer import Conv1d, Lambda - -class Diffusion(torch.nn.Module): - def __init__( - self, - hyper_parameters: Namespace - ): - super().__init__() - self.hp = hyper_parameters - - if self.hp.Feature_Type == 'Mel': - self.feature_size = self.hp.Sound.Mel_Dim - elif self.hp.Feature_Type == 'Spectrogram': - self.feature_size = self.hp.Sound.N_FFT // 2 + 1 - - self.denoiser = Denoiser( - hyper_parameters= self.hp - ) - - self.timesteps = self.hp.Diffusion.Max_Step - betas = torch.linspace(1e-4, 0.06, self.timesteps) - alphas = 1.0 - betas - alphas_cumprod = torch.cumprod(alphas, axis= 0) - alphas_cumprod_prev = torch.cat([torch.tensor([1.0]), alphas_cumprod[:-1]]) - - # calculations for diffusion q(x_t | x_{t-1}) and others - self.register_buffer('alphas_cumprod', alphas_cumprod) # [Diffusion_t] - self.register_buffer('alphas_cumprod_prev', alphas_cumprod_prev) # [Diffusion_t] - self.register_buffer('sqrt_alphas_cumprod', alphas_cumprod.sqrt()) - self.register_buffer('sqrt_one_minus_alphas_cumprod', (1.0 - alphas_cumprod).sqrt()) - self.register_buffer('sqrt_recip_alphas_cumprod', (1.0 / alphas_cumprod).sqrt()) - self.register_buffer('sqrt_recipm1_alphas_cumprod', (1.0 / alphas_cumprod - 1.0).sqrt()) - - # calculations for posterior q(x_{t-1} | x_t, x_0) - posterior_variance = betas * (1.0 - alphas_cumprod_prev) / (1.0 - alphas_cumprod) - - # below: log calculation clipped because the posterior variance is 0 at the beginning of the diffusion chain - self.register_buffer('posterior_log_variance', torch.maximum(posterior_variance, torch.tensor([1e-20])).log()) - self.register_buffer('posterior_mean_coef1', betas * alphas_cumprod_prev.sqrt() / (1.0 - alphas_cumprod)) - self.register_buffer('posterior_mean_coef2', (1.0 - alphas_cumprod_prev) * alphas.sqrt() / (1.0 - alphas_cumprod)) - - def forward( - self, - encodings: torch.Tensor, - features: torch.Tensor= None - ): - ''' - encodings: [Batch, Enc_d, Enc_t] - features: [Batch, Feature_d, Feature_t] - feature_lengths: [Batch] - ''' - if not features is None: # train - diffusion_steps = torch.randint( - low= 0, - high= self.timesteps, - size= (encodings.size(0),), - dtype= torch.long, - device= encodings.device - ) # random single step - - noises, epsilons = self.Get_Noise_Epsilon_for_Train( - features= features, - encodings= encodings, - diffusion_steps= diffusion_steps, - ) - return None, noises, epsilons - else: # inference - features = self.Sampling( - encodings= encodings, - ) - return features, None, None - - def Sampling( - self, - encodings: torch.Tensor, - ): - features = torch.randn( - size= (encodings.size(0), self.feature_size, encodings.size(2)), - device= encodings.device - ) - for diffusion_step in reversed(range(self.timesteps)): - features = self.P_Sampling( - features= features, - encodings= encodings, - diffusion_steps= torch.full( - size= (encodings.size(0), ), - fill_value= diffusion_step, - dtype= torch.long, - device= encodings.device - ), - ) - - return features - - def P_Sampling( - self, - features: torch.Tensor, - encodings: torch.Tensor, - diffusion_steps: torch.Tensor, - ): - posterior_means, posterior_log_variances = self.Get_Posterior( - features= features, - encodings= encodings, - diffusion_steps= diffusion_steps, - ) - - noises = torch.randn_like(features) # [Batch, Feature_d, Feature_d] - masks = (diffusion_steps > 0).float().unsqueeze(1).unsqueeze(1) #[Batch, 1, 1] - - return posterior_means + masks * (0.5 * posterior_log_variances).exp() * noises - - def Get_Posterior( - self, - features: torch.Tensor, - encodings: torch.Tensor, - diffusion_steps: torch.Tensor - ): - noised_predictions = self.denoiser( - features= features, - encodings= encodings, - diffusion_steps= diffusion_steps - ) - - epsilons = \ - features * self.sqrt_recip_alphas_cumprod[diffusion_steps][:, None, None] - \ - noised_predictions * self.sqrt_recipm1_alphas_cumprod[diffusion_steps][:, None, None] - epsilons.clamp_(-1.0, 1.0) # clipped - - posterior_means = \ - epsilons * self.posterior_mean_coef1[diffusion_steps][:, None, None] + \ - features * self.posterior_mean_coef2[diffusion_steps][:, None, None] - posterior_log_variances = \ - self.posterior_log_variance[diffusion_steps][:, None, None] - - return posterior_means, posterior_log_variances - - def Get_Noise_Epsilon_for_Train( - self, - features: torch.Tensor, - encodings: torch.Tensor, - diffusion_steps: torch.Tensor, - ): - noises = torch.randn_like(features) - - noised_features = \ - features * self.sqrt_alphas_cumprod[diffusion_steps][:, None, None] + \ - noises * self.sqrt_one_minus_alphas_cumprod[diffusion_steps][:, None, None] - - epsilons = self.denoiser( - features= noised_features, - encodings= encodings, - diffusion_steps= diffusion_steps - ) - - return noises, epsilons - - def DDIM( - self, - encodings: torch.Tensor, - ddim_steps: int, - eta: float= 0.0, - temperature: float= 1.0, - use_tqdm: bool= False - ): - ddim_timesteps = self.Get_DDIM_Steps( - ddim_steps= ddim_steps - ) - sigmas, alphas, alphas_prev = self.Get_DDIM_Sampling_Parameters( - ddim_timesteps= ddim_timesteps, - eta= eta - ) - sqrt_one_minus_alphas = (1. - alphas).sqrt() - - features = torch.randn( - size= (encodings.size(0), self.feature_size, encodings.size(2)), - device= encodings.device - ) - - setp_range = reversed(range(ddim_steps)) - if use_tqdm: - tqdm( - setp_range, - desc= '[Diffusion]', - total= ddim_steps - ) - - for diffusion_steps in setp_range: - noised_predictions = self.denoiser( - features= features, - encodings= encodings, - diffusion_steps= torch.full( - size= (encodings.size(0), ), - fill_value= diffusion_steps, - dtype= torch.long, - device= encodings.device - ) - ) - - feature_starts = (features - sqrt_one_minus_alphas[diffusion_steps] * noised_predictions) / alphas[diffusion_steps].sqrt() - direction_pointings = (1.0 - alphas_prev[diffusion_steps] - sigmas[diffusion_steps].pow(2.0)) * noised_predictions - noises = sigmas[diffusion_steps] * torch.randn_like(features) * temperature - - features = alphas_prev[diffusion_steps].sqrt() * feature_starts + direction_pointings + noises - - return features - - # https://github.com/CompVis/stable-diffusion/blob/main/ldm/modules/diffusionmodules/util.py - def Get_DDIM_Steps( - self, - ddim_steps: int, - ddim_discr_method: str= 'uniform' - ): - if ddim_discr_method == 'uniform': - ddim_timesteps = torch.arange(0, self.timesteps, self.timesteps // ddim_steps).long() - elif ddim_discr_method == 'quad': - ddim_timesteps = torch.linspace(0, (torch.tensor(self.timesteps) * 0.8).sqrt(), ddim_steps).pow(2.0).long() - else: - raise NotImplementedError(f'There is no ddim discretization method called "{ddim_discr_method}"') - - ddim_timesteps[-1] = self.timesteps - 1 - - return ddim_timesteps - - def Get_DDIM_Sampling_Parameters(self, ddim_timesteps, eta): - alphas = self.alphas_cumprod[ddim_timesteps] - alphas_prev = self.alphas_cumprod_prev[ddim_timesteps] - sigmas = eta * ((1 - alphas_prev) / (1 - alphas) * (1 - alphas / alphas_prev)).sqrt() - - return sigmas, alphas, alphas_prev - -class Denoiser(torch.nn.Module): - def __init__( - self, - hyper_parameters: Namespace - ): - super().__init__() - self.hp = hyper_parameters - - if self.hp.Feature_Type == 'Mel': - feature_size = self.hp.Sound.Mel_Dim - elif self.hp.Feature_Type == 'Spectrogram': - feature_size = self.hp.Sound.N_FFT // 2 + 1 - - self.prenet = torch.nn.Sequential( - Conv1d( - in_channels= feature_size, - out_channels= self.hp.Diffusion.Size, - kernel_size= 1, - w_init_gain= 'relu' - ), - torch.nn.Mish() - ) - - self.step_ffn = torch.nn.Sequential( - Diffusion_Embedding( - channels= self.hp.Diffusion.Size - ), - Lambda(lambda x: x.unsqueeze(2)), - Conv1d( - in_channels= self.hp.Diffusion.Size, - out_channels= self.hp.Diffusion.Size * 4, - kernel_size= 1, - w_init_gain= 'relu' - ), - torch.nn.Mish(), - Conv1d( - in_channels= self.hp.Diffusion.Size * 4, - out_channels= self.hp.Diffusion.Size, - kernel_size= 1, - w_init_gain= 'linear' - ) - ) - - self.residual_blocks = torch.nn.ModuleList([ - Residual_Block( - in_channels= self.hp.Diffusion.Size, - kernel_size= self.hp.Diffusion.Kernel_Size, - condition_channels= self.hp.Encoder.Size + feature_size - ) - for _ in range(self.hp.Diffusion.Stack) - ]) - - self.projection = torch.nn.Sequential( - Conv1d( - in_channels= self.hp.Diffusion.Size, - out_channels= self.hp.Diffusion.Size, - kernel_size= 1, - w_init_gain= 'relu' - ), - torch.nn.ReLU(), - Conv1d( - in_channels= self.hp.Diffusion.Size, - out_channels= feature_size, - kernel_size= 1 - ), - ) - torch.nn.init.zeros_(self.projection[-1].weight) # This is key factor.... - - def forward( - self, - features: torch.Tensor, - encodings: torch.Tensor, - diffusion_steps: torch.Tensor - ): - ''' - features: [Batch, Feature_d, Feature_t] - encodings: [Batch, Enc_d, Feature_t] - diffusion_steps: [Batch] - ''' - x = self.prenet(features) - - diffusion_steps = self.step_ffn(diffusion_steps) # [Batch, Res_d, 1] - - skips_list = [] - for residual_block in self.residual_blocks: - x, skips = residual_block( - x= x, - conditions= encodings, - diffusion_steps= diffusion_steps - ) - skips_list.append(skips) - - x = torch.stack(skips_list, dim= 0).sum(dim= 0) / math.sqrt(self.hp.Diffusion.Stack) - x = self.projection(x) - - return x - -class Diffusion_Embedding(torch.nn.Module): - def __init__( - self, - channels: int - ): - super().__init__() - self.channels = channels - - def forward(self, x: torch.Tensor): - half_channels = self.channels // 2 # sine and cosine - embeddings = math.log(10000.0) / (half_channels - 1) - embeddings = torch.exp(torch.arange(half_channels, device= x.device) * -embeddings) - embeddings = x.unsqueeze(1) * embeddings.unsqueeze(0) - embeddings = torch.cat([embeddings.sin(), embeddings.cos()], dim= -1) - - return embeddings - -class Residual_Block(torch.nn.Module): - def __init__( - self, - in_channels: int, - kernel_size: int, - condition_channels: int - ): - super().__init__() - self.in_channels = in_channels - - self.condition = Conv1d( - in_channels= condition_channels, - out_channels= in_channels * 2, - kernel_size= 1 - ) - self.diffusion_step = Conv1d( - in_channels= in_channels, - out_channels= in_channels, - kernel_size= 1 - ) - - self.conv = Conv1d( - in_channels= in_channels, - out_channels= in_channels * 2, - kernel_size= kernel_size, - padding= kernel_size // 2 - ) - - self.projection = Conv1d( - in_channels= in_channels, - out_channels= in_channels * 2, - kernel_size= 1 - ) - - def forward( - self, - x: torch.Tensor, - conditions: torch.Tensor, - diffusion_steps: torch.Tensor - ): - residuals = x - - conditions = self.condition(conditions) - diffusion_steps = self.diffusion_step(diffusion_steps) - - x = self.conv(x + diffusion_steps) + conditions - x_a, x_b = x.chunk(chunks= 2, dim= 1) - x = x_a.sigmoid() * x_b.tanh() - - x = self.projection(x) - x, skips = x.chunk(chunks= 2, dim= 1) - - return (x + residuals) / math.sqrt(2.0), skips \ No newline at end of file diff --git a/spaces/colakin/video-generater/public/ffmpeg/libavcodec/aac_parser.c b/spaces/colakin/video-generater/public/ffmpeg/libavcodec/aac_parser.c deleted file mode 100644 index f295dfccddbef35efdd24382747c5da4d8209b96..0000000000000000000000000000000000000000 --- a/spaces/colakin/video-generater/public/ffmpeg/libavcodec/aac_parser.c +++ /dev/null @@ -1,66 +0,0 @@ -/* - * Audio and Video frame extraction - * Copyright (c) 2003 Fabrice Bellard - * Copyright (c) 2003 Michael Niedermayer - * - * This file is part of FFmpeg. - * - * FFmpeg is free software; you can redistribute it and/or - * modify it under the terms of the GNU Lesser General Public - * License as published by the Free Software Foundation; either - * version 2.1 of the License, or (at your option) any later version. - * - * FFmpeg is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU - * Lesser General Public License for more details. - * - * You should have received a copy of the GNU Lesser General Public - * License along with FFmpeg; if not, write to the Free Software - * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA - */ - -#include "parser.h" -#include "aac_ac3_parser.h" -#include "adts_header.h" -#include "adts_parser.h" -#include "get_bits.h" -#include "mpeg4audio.h" - -static int aac_sync(uint64_t state, int *need_next_header, int *new_frame_start) -{ - GetBitContext bits; - AACADTSHeaderInfo hdr; - int size; - union { - uint64_t u64; - uint8_t u8[8 + AV_INPUT_BUFFER_PADDING_SIZE]; - } tmp; - - tmp.u64 = av_be2ne64(state); - init_get_bits(&bits, tmp.u8 + 8 - AV_AAC_ADTS_HEADER_SIZE, - AV_AAC_ADTS_HEADER_SIZE * 8); - - if ((size = ff_adts_header_parse(&bits, &hdr)) < 0) - return 0; - *need_next_header = 0; - *new_frame_start = 1; - return size; -} - -static av_cold int aac_parse_init(AVCodecParserContext *s1) -{ - AACAC3ParseContext *s = s1->priv_data; - s->header_size = AV_AAC_ADTS_HEADER_SIZE; - s->sync = aac_sync; - return 0; -} - - -const AVCodecParser ff_aac_parser = { - .codec_ids = { AV_CODEC_ID_AAC }, - .priv_data_size = sizeof(AACAC3ParseContext), - .parser_init = aac_parse_init, - .parser_parse = ff_aac_ac3_parse, - .parser_close = ff_parse_close, -}; diff --git a/spaces/congsaPfin/Manga-OCR/logs/Download Growtopia 4.10 and Enjoy the New Features of the Winter Update.md b/spaces/congsaPfin/Manga-OCR/logs/Download Growtopia 4.10 and Enjoy the New Features of the Winter Update.md deleted file mode 100644 index 81d3464dc50125610f1e714b8ddb500f1866c90f..0000000000000000000000000000000000000000 --- a/spaces/congsaPfin/Manga-OCR/logs/Download Growtopia 4.10 and Enjoy the New Features of the Winter Update.md +++ /dev/null @@ -1,147 +0,0 @@ -
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  • A new system called the Achievement System, which tracks your progress and rewards you with gems, titles, and badges for completing various tasks in the game.
  • -
  • A new interface called the Itempedia, which shows you all the items that you have collected and their details.
  • -
  • A new option called the Advanced Settings, which lets you customize your game settings, such as graphics, sound, controls, and chat.
  • -
  • A lot of bug fixes, balance changes, and performance improvements.
  • -
-

Benefits of downloading Growtopia 4.10

-

Some of the benefits that you can get from downloading Growtopia 4.10 are:

-
    -
  • You can enjoy the latest and greatest features of the game without missing out on anything.
  • -
  • You can have a smoother and faster gaming experience with less lag and glitches.
  • -
  • You can have more fun and challenge with new items, worlds, events, and achievements.
  • -
  • You can have more options and flexibility with your game settings and preferences.
  • -
  • You can have more security and stability with your account and data.
  • -
-

How to download Growtopia 4.10?

-

There are different ways to download Growtopia 4.10 depending on your device and preference. Here are some of the methods that you can use:

-

Download Growtopia 4.10 APK from Softpedia

-

If you want to download Growtopia 4.10 APK file directly to your Android device, you can use Softpedia as a reliable source. Softpedia is a website that offers free downloads of software, games, drivers, and mobile applications. To download Growtopia 4.10 APK from Softpedia, follow these steps:

-
    -
  1. Go to [this link] using your browser on your Android device.
  2. -
  3. Tap on the green Download button on the page.
  4. -
  5. Wait for the download to finish.
  6. -
  7. Locate the downloaded file on your device using a file manager app.
  8. -
  9. Tap on the file and allow it to install on your device.
  10. -
  11. Launch Growtopia 4.10 from your app drawer and enjoy.
  12. -
-

Download Growtopia 4.10 from Ubisoft website

-

If you want to download Growtopia 4.10 from the official website of Ubisoft, the developer of the game, you can use this method. Ubisoft website offers downloads of Growtopia for different platforms, such as Android, iOS, Windows, Mac, PlayStation 4, Xbox One, Nintendo Switch. To download Growtopia 4.10 from Ubisoft website, follow these steps:

-
    -
  1. Go to [this link] using your browser on your device.
  2. -
  3. Select your platform from the list of options.
  4. -
  5. Follow the instructions on the page to download and install Growtopia 4.10 on your device.
  6. -
  7. Launch Growtopia 4 .10 from your app launcher and enjoy.
  8. -
-

Download Growtopia 4.10 from GitHub repository

-

If you want to download Growtopia 4.10 from the GitHub repository of the game, you can use this method. GitHub is a platform that hosts and manages software development projects using version control and collaboration tools. The GitHub repository of Growtopia contains the source code and files of the game, as well as the latest releases and updates. To download Growtopia 4.10 from GitHub repository, follow these steps:

-
    -
  1. Go to [this link] using your browser on your device.
  2. -
  3. Tap on the Assets dropdown menu under the Growtopia 4.10 release section.
  4. -
  5. Select the file that matches your platform and device from the list of options.
  6. -
  7. Wait for the download to finish.
  8. -
  9. Locate the downloaded file on your device using a file manager app.
  10. -
  11. Tap on the file and allow it to install on your device.
  12. -
  13. Launch Growtopia 4.10 from your app launcher and enjoy.
  14. -
-

Conclusion

-

In conclusion, Growtopia is a game that you should not miss if you love sandbox platformer MMO games. It is a game that lets you create your own worlds, interact with other players, and explore thousands of unique items. It is a game that is constantly updated with new content and features to keep you entertained and engaged. To enjoy the latest and greatest version of Growtopia, you should download Growtopia 4.10 from one of the methods that we have discussed in this article. Whether you use Softpedia, Ubisoft website, or GitHub repository, you will be able to download Growtopia 4.10 easily and safely on your device. So what are you waiting for? Download Growtopia 4.10 now and join the fun!

-

Call to action

-

If you liked this article, please share it with your friends and family who might be interested in Growtopia. You can also leave a comment below and let us know what you think about Growtopia 4.10. We would love to hear from you!

-

FAQs

-

Here are some of the frequently asked questions about Growtopia 4.10:

-

Is Growtopia 4.10 free to play?

-

Yes, Growtopia 4.10 is free to play for everyone. You can download and play Growtopia 4.10 without spending any money. However, you can also buy gems, which are the in-game currency, using real money if you want to buy some premium items or features in the game.

-

Is Growtopia 4.10 safe to download?

-

Yes, Growtopia 4.10 is safe to download as long as you use a trusted source, such as Softpedia, Ubisoft website, or GitHub repository. These sources are verified and secure, and they do not contain any viruses or malware that can harm your device or data.

-

What are the system requirements for Growtopia 4.10?

-

The system requirements for Growtopia 4.10 vary depending on your platform and device. However, here are some general guidelines for each platform:

-
    -
  • For Android devices, you need at least Android 4.0 or higher, 1 GB of RAM, and 100 MB of free storage space.
  • -
  • For iOS devices, you need at least iOS 9 or higher, iPhone 5s or newer, iPad Air or newer, iPad mini 2 or newer, iPod touch 6th generation or newer, and 100 MB of free storage space.
  • -
  • For Windows devices, you need at least Windows XP or higher, Intel Pentium 4 or higher processor, 512 MB of RAM, DirectX 9 or higher graphics card, and 100 MB of free storage space.
  • -
  • For Mac devices, you need at least Mac OS X 10.7 or higher, Intel Core 2 Duo or higher processor, 512 MB of RAM, OpenGL 2.0 or higher graphics card, and 100 MB of free storage space.
  • -
  • For consoles, you need at least PlayStation 4, Xbox One, or Nintendo Switch with an internet connection and a valid account.
  • -
-

How can I contact the support team of Growtopia?

-

If you have any issues or questions about Growtopia 4.10, you can contact the support team of Growtopia by using one of these methods:

-
    -
  • You can use the in-game support button on the settings menu to submit a ticket or chat with an agent.
  • -
  • You can use the online support form on the official website of Growtopia to send an email or request a callback.
  • -
  • You can use the social media pages of Growtopia, such as Facebook, Twitter, Instagram, or YouTube, to send a message or comment.
  • -
-

How can I give feedback or suggestions for Growtopia?

-

If you have any feedback or suggestions for Growtopia 4.10, you can share them with the developers and the community by using one of these methods:

-
    -
  • You can use the in-game feedback button on the settings menu to rate the game and write a review.
  • -
  • You can use the online feedback form on the official website of Growtopia to submit your ideas or opinions.
  • -
  • You can use the forums of Growtopia to create a thread or reply to an existing one.
  • -

401be4b1e0
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\ No newline at end of file diff --git a/spaces/congsaPfin/Manga-OCR/logs/Emoji de iphone no instagram como instalar e usar no seu android sem root.md b/spaces/congsaPfin/Manga-OCR/logs/Emoji de iphone no instagram como instalar e usar no seu android sem root.md deleted file mode 100644 index 3a612f712aa2ce1e6fc82df8cb5ea82a995388a8..0000000000000000000000000000000000000000 --- a/spaces/congsaPfin/Manga-OCR/logs/Emoji de iphone no instagram como instalar e usar no seu android sem root.md +++ /dev/null @@ -1,99 +0,0 @@ - -

How to Use iPhone Emojis on Android for Instagram

-

Emojis are fun and expressive symbols that can enhance your messages and posts on social media. However, not all emojis look the same on different devices and platforms. If you are an Android user who likes the style and variety of iPhone emojis, you might wonder how to use them on your phone, especially on Instagram. In this article, we will show you how to get iPhone emojis on Android and how to use them on Instagram.

-

emoji de iphone no instagram apk


Downloadhttps://urlca.com/2uOcm8



-

Why iPhone Emojis Don't Show Up on Android

-

Emojis are not images, but text characters that are encoded and displayed differently by different operating systems, such as iOS and Android. Each operating system has its own emoji font and design, which means that the same emoji character can look different on an iPhone and an Android phone. For example, the grinning face emoji looks like this on iOS: ?, but like this on Android: ?.

-

When you send or receive an emoji from someone who uses a different operating system, your device will try to display it using its own emoji font. However, if your device does not support or recognize the emoji character, it will show a blank box or a question mark instead. This can cause confusion and frustration when communicating with others.

-

How to Get iPhone Emojis on Android

-

Fortunately, there are some ways to get iPhone emojis on your Android device. You can either download an app that provides iPhone emojis, change the emoji font in your device settings, or use an APK installer that contains iPhone emojis. Here are the steps for each method:

-

Method 1: Download an Emoji App

-

One of the easiest ways to get iPhone emojis on Android is to download and install an app that offers them. There are many apps available on the Google Play Store that can provide you with iPhone emojis, such as Facemoji or Green Apple Keyboard. Here is how to use them:

-
    -
  • Go to the Google Play Store and search for an app that provides iPhone emojis. For example, you can search for "apple emoji keyboard" or "apple emoji font".
  • -
  • Pick an app that you like and tap Install. Wait for the app to download and install on your device.
  • -
  • Open the app and follow the instructions to enable it as your default keyboard or emoji font.
  • -
  • You can now use the app to access and use iPhone emojis on your device.
  • -
-

Method 2: Change the Emoji Font

-

Another way to get iPhone emojis on Android is to change the emoji font in your device settings. This method requires you to have a device that supports changing fonts, such as Samsung or Huawei phones. You also need to download an emoji font that contains iPhone emojis, such as iOS Emoji Magisk Module. Here is how to use it:

-

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-
    -
  • Go to the GitHub page of the iOS Emoji Magisk Module and download the latest release. You will need a device that is rooted and has Magisk installed.
  • -
  • Open the Magisk Manager app and tap the menu icon in the top left corner.
  • -
  • Select Modules and tap the plus icon in the bottom right corner.
  • -
  • Navigate to the folder where you downloaded the iOS Emoji Magisk Module and select it.
  • -
  • Wait for the module to install and reboot your device.
  • -
  • You can now use iPhone emojis on your device.
  • -
-

How to Use iPhone Emojis on Instagram for Android

-

After you have installed iPhone emojis on your Android device using one of the methods above, you can use them on Instagram or any other app that supports emojis. Here is how to do it:

-
    -
  • Open the Instagram app and tap the plus icon in the bottom center to create a new post.
  • -
  • Select a photo or video from your gallery or take one with the camera.
  • -
  • Tap Next and then Edit if you want to apply any filters or adjustments.
  • -
  • Tap Next again and then Write a caption.
  • -
  • To insert an emoji, tap the smiley face icon on the keyboard. You should see the iPhone emojis instead of the Android ones.
  • -
  • Select the emoji you want to use and tap it. You can also swipe left or right to see more categories of emojis.
  • -
  • Repeat the process until you have added all the emojis you want to your caption.
  • -
  • Tap OK and then Share to post your photo or video with iPhone emojis.
  • -
-

Conclusion

-

In this article, we have shown you how to get iPhone emojis on Android and how to use them on Instagram. You can choose from three methods: downloading an emoji app, changing the emoji font, or using an APK installer. Each method has its own advantages and disadvantages, so you can pick the one that suits you best. However, keep in mind that these methods may not work on all devices or apps, and they may cause some compatibility issues or errors. Also, remember that not everyone will see your iPhone emojis as you do, depending on their device and platform. Therefore, use them wisely and sparingly, and don't rely on them too much for communication.

-

FAQs

-

Q: Can I use iPhone emojis on WhatsApp for Android?

-

A: Yes, you can. WhatsApp has its own set of emojis that are similar to the iPhone ones. You don't need to install anything else to use them. Just tap the smiley face icon on the keyboard and select the emoji you want.

-

Q: Can I use iPhone emojis on Facebook for Android?

-

A: No, you can't. Facebook has its own set of emojis that are different from both iOS and Android. You can't change them or use other emojis on Facebook for Android. However, you can use stickers or GIFs that have iPhone emojis in them.

-

Q: Can I use iPhone emojis on Snapchat for Android?

-

A: Yes, you can. Snapchat uses the system emoji font, which means it will display whatever emojis you have installed on your device. If you have installed iPhone emojis using one of the methods above, you can use them on Snapchat for Android.

-

Q: Can I use iPhone emojis on Twitter for Android?

-

A: Yes, you can. Twitter also uses the system emoji font, so it will show whatever emojis you have installed on your device. However, Twitter also has its own set of emojis that are similar to the iOS ones. You can switch between them by tapping the globe icon on the keyboard.

-

Q: Can I use iPhone emojis on TikTok for Android?

-

A: Yes, you can. TikTok uses the system emoji font as well, so it will display whatever emojis you have installed on your device. You can use them in your comments, captions, or messages.

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\ No newline at end of file diff --git a/spaces/contluForse/HuggingGPT/assets/Discover The Secrets Of Semiconductor Devices With Kevin F Brennans Solution Manual.md b/spaces/contluForse/HuggingGPT/assets/Discover The Secrets Of Semiconductor Devices With Kevin F Brennans Solution Manual.md deleted file mode 100644 index 82e0dd7265a1ecbe2636c6fe1ba4fe293070ddc4..0000000000000000000000000000000000000000 --- a/spaces/contluForse/HuggingGPT/assets/Discover The Secrets Of Semiconductor Devices With Kevin F Brennans Solution Manual.md +++ /dev/null @@ -1,16 +0,0 @@ - -

Increased interest in wearable and smart electronics is driving numerous research works on organic electronics. The control of film growth and patterning is of great importance when targeting high-performance organic semiconductor devices. In this Feature Article, we summarize our recent work focusing on the growth, crystallization, and device operation of organic semiconductors intermediated by ultrathin organic films (in most cases, only a monolayer). The site-selective growth, modified crystallization and morphology, and improved device performance of organic semiconductor films are demonstrated with the help of the inducing layers, including patterned and uniform Langmuir-Blodgett monolayers, crystalline ultrathin organic films, and self-assembled polymer brush films. The introduction of the inducing layers could dramatically change the diffusion of the organic semiconductors on the surface and the interactions between the active layer with the inducing layer, leading to improved aggregation/crystallization behavior and device performance.

-

This book presents physics-based electro-thermal models of bipolar power semiconductor devices including their packages, and describes their implementation in MATLAB and Simulink. It is a continuation of our first book Modeling of Bipolar Power Semiconductor Devices. The device electrical models are developed by subdividing the devices into different regions and the operations in each region, along with the interactions at the interfaces, are analyzed using the basic semiconductor physics equations that govern device behavior. The Fourier series solution is used to solve the ambipolar diffusio

-

Introduction To Semiconductor Devices By Kevin F Brennan Solution Manual


Download Filehttps://ssurll.com/2uzyLA



-

Full Text Available It is shown that computer systems for measuring current-voltage characteristics are very important for semiconductor devices production. The main criteria of efficiency of such systems are defined. It is shown that efficiency of such systems significantly depends on the methods for measuring current-voltage characteristics of semiconductor devices. The aim of this work is to analyze existing methods for measuring current-voltage characteristics of semiconductor devices and to create the classification of these methods in order to specify the most effective solutions in terms of defined criteria. To achieve this aim, the most common classifications of methods for measuring current-voltage characteristics of semiconductor devices and their main disadvantages are considered. Automated and manual, continuous, pulse, mixed, isothermal and isodynamic methods for measuring current-voltage characteristics are analyzed. As a result of the analysis and generalization of existing methods the next classification criteria are defined: the level of automation, the form of measurement signals, the condition of semiconductor device during the measurements, and the use of mathematical processing of the measurement results. With the use of these criteria the classification scheme of methods for measuring current-voltage characteristics of semiconductor devices is composed and the most effective methods are specified.

-

Full Text Available The lateral charge transport in thin-film semiconductor devices is affected by the sheet resistance of the various layers. This may lead to a non-uniform current distribution across a large-area device resulting in inhomogeneous luminance, for example, as observed in organic light-emitting diodes (Neyts et al., 2006. The resistive loss in electrical energy is converted into thermal energy via Joule heating, which results in a temperature increase inside the device. On the other hand, the charge transport properties of the device materials are also temperature-dependent, such that we are facing a two-way coupled electrothermal problem. It has been demonstrated that adding thermal effects to an electrical model significantly changes the results (Slawinski et al., 2011. We present a mathematical model for the steady-state distribution of the electric potential and of the temperature across one electrode of a large-area semiconductor device, as well as numerical solutions obtained using the finite element method.

-

This report presents investigations on failure mechanisms that may cause defects during production and operation of silicon semiconductor devices. The failure analysis of aluminium metallization defects covers topics such as step coverage, dissolution pits and electromigration. Furthermore, the generation of process induced lattice defects was investigated. Improved processes avoiding those defects were developed. (orig.) [de

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The paper represents primary tasks, solutions of which allow to develop the exploitation modes of semiconductor devices taking into account complex and combined influence of ionizing irradiation and operation factors. The structure of the exploitation model of the semiconductor device is presented, which is based on radiation and reliability models. Furthermore, it was shown that the exploitation model should take into account complex and combine influence of various ionizing irradiation types and operation factors. The algorithm of developing the exploitation model of the semiconductor devices is proposed. The possibility of creating the radiation model of Schottky barrier diode, Schottky field-effect transistor and Gunn diode is shown based on the available experimental data. The basic exploitation model of IR-LEDs based upon double AlGaAs heterostructures is represented. The practical application of the exploitation models will allow to output the electronic products with guaranteed operational properties.

-

This volume results from a symposium that was part of the 1992 Spring Meeting of the Materials Research Society, held in San Francisco from April 26 to May 1, 1992. The symposium, entitled Defect Engineering in Semiconductor Growth, Processing and Device Technology, was the first of its kind at MRS and brought together academic and industrial researchers with varying perspectives on defects in semiconductors. Its aim was to go beyond defect control, and focus instead on deliberate and controlled introduction and manipulation of defects in order to engineer some desired properties in semiconductor materials and devices. While the concept of defect engineering has at least a vague perception in techniques such as impurity/defect gettering and the use of the EL2 level in GaAs, more extensive as well as subtle uses of defects are emerging to augment the field. This symposium was intended principally to encourage creative new applications of defects in all aspects of semiconductor technology. The organization of this proceedings volume closely follows the topics around which the sessions were built. The papers on grown-in defects in bulk crystals deal with overviews of intrinsic and impurity-related defects, their influence on electrical, optical and mechanical properties, as well as the use of impurities to arrest certain types of defects during growth and defects to control growth. The issues addressed by the papers on defects in thin films include impurity and stoichiometry control, defects created by plasmas and the use of electron/ion irradiation for doping control

-

An iterative method for solving the system of nonlinear equations of the drift-diffusion representation for the simulation of the semiconductor devices is worked out. The Petrov-Galerkin method is taken for the discretization of these equations using the bilinear finite elements. It is shown that the numerical scheme is a monotonous one and there are no oscillations of the solutions in the region of p-n transition. The numerical calculations of the simulation of one semiconductor device are presented. 13 refs.; 3 figs

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Numerical simulation and modelling of electric circuits and semiconductor devices are of primal interest in today's high technology industries. At the Oberwolfach Conference more than forty scientists from around the world, in­ cluding applied mathematicians and electrical engineers from industry and universities, presented new results in this area of growing importance. The contributions to this conference are presented in these proceedings. They include contributions on special topics of current interest in circuit and device simulation, as well as contributions that present an overview of the field. In the semiconductor area special lectures were given on mixed finite element methods and iterative procedures for the solution of large linear systems. For three dimensional models new discretization procedures including software packages were presented. Con­ nections between semiconductor equations and the Boltzmann equation were shown as well as relations to the quantum transport equation. Other issues dis...

-

Graphene, a planar, atomically thin form of carbon, has unique electrical and material properties that could enable new high performance semiconductor devices. Graphene could be of specific interest in the development of room-temperature, high-resolution semiconductor radiation spectrometers. Incorporating graphene into a field-effect transistor architecture could provide an extremely high sensitivity readout mechanism for sensing charge carriers in a semiconductor detector, thus enabling the fabrication of a sensitive radiation sensor. In addition, the field effect transistor architecture allows us to sense only a single charge carrier type, such as electrons. This is an advantage for room-temperature semiconductor radiation detectors, which often suffer from significant hole trapping. Here we report on initial efforts towards device fabrication and proof-of-concept testing. This work investigates the use of graphene transferred onto silicon and silicon carbide, and the response of these fabricated graphene field effect transistor devices to stimuli such as light and alpha radiation.

-

-

There is a need in the semiconductor industry for a dopant profiling technique with nm-scale resolution. Here we demonstrate that off-axis electron holography can be used to provide maps of the electrostatic potential in semiconductor devices with nm-scale resolution. In this paper we will discuss issues regarding the spatial resolution and precision of the technique. Then we will discuss problems with specimen preparation and how this affects the accuracy of the measurements of the potentials. Finally we show results from experimental off-axis electron holography applied to nMOS and pMOS CMOS devices grown on bulk silicon and silicon- on-insulator type devices and present solutions to common problems that are encountered when examining these types of devices. (paper)

aaccfb2cb3
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\ No newline at end of file diff --git a/spaces/coraKong/WorldSimulation/PluginManager.py b/spaces/coraKong/WorldSimulation/PluginManager.py deleted file mode 100644 index b44751c72673eb0a23e03fc9ac440c9de0ff480f..0000000000000000000000000000000000000000 --- a/spaces/coraKong/WorldSimulation/PluginManager.py +++ /dev/null @@ -1,13 +0,0 @@ -class PluginManager: - def __init__(self): - self.plugins = [] - - def add_plugin(self, plugin): - self.plugins.append(plugin) - - def remove_plugin(self, plugin): - self.plugins.remove(plugin) - - def execute_plugins(self, *args, **kwargs): - for plugin in self.plugins: - plugin.execute(*args, **kwargs) diff --git a/spaces/coreml-community/ControlNet-v1-1-Annotators-cpu/annotator/oneformer/detectron2/engine/launch.py b/spaces/coreml-community/ControlNet-v1-1-Annotators-cpu/annotator/oneformer/detectron2/engine/launch.py deleted file mode 100644 index 0a2d6bcdb5f1906d3eedb04b5aa939f8269f0344..0000000000000000000000000000000000000000 --- a/spaces/coreml-community/ControlNet-v1-1-Annotators-cpu/annotator/oneformer/detectron2/engine/launch.py +++ /dev/null @@ -1,123 +0,0 @@ -# Copyright (c) Facebook, Inc. and its affiliates. -import logging -from datetime import timedelta -import torch -import torch.distributed as dist -import torch.multiprocessing as mp - -from annotator.oneformer.detectron2.utils import comm - -__all__ = ["DEFAULT_TIMEOUT", "launch"] - -DEFAULT_TIMEOUT = timedelta(minutes=30) - - -def _find_free_port(): - import socket - - sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) - # Binding to port 0 will cause the OS to find an available port for us - sock.bind(("", 0)) - port = sock.getsockname()[1] - sock.close() - # NOTE: there is still a chance the port could be taken by other processes. - return port - - -def launch( - main_func, - # Should be num_processes_per_machine, but kept for compatibility. - num_gpus_per_machine, - num_machines=1, - machine_rank=0, - dist_url=None, - args=(), - timeout=DEFAULT_TIMEOUT, -): - """ - Launch multi-process or distributed training. - This function must be called on all machines involved in the training. - It will spawn child processes (defined by ``num_gpus_per_machine``) on each machine. - - Args: - main_func: a function that will be called by `main_func(*args)` - num_gpus_per_machine (int): number of processes per machine. When - using GPUs, this should be the number of GPUs. - num_machines (int): the total number of machines - machine_rank (int): the rank of this machine - dist_url (str): url to connect to for distributed jobs, including protocol - e.g. "tcp://127.0.0.1:8686". - Can be set to "auto" to automatically select a free port on localhost - timeout (timedelta): timeout of the distributed workers - args (tuple): arguments passed to main_func - """ - world_size = num_machines * num_gpus_per_machine - if world_size > 1: - # https://github.com/pytorch/pytorch/pull/14391 - # TODO prctl in spawned processes - - if dist_url == "auto": - assert num_machines == 1, "dist_url=auto not supported in multi-machine jobs." - port = _find_free_port() - dist_url = f"tcp://127.0.0.1:{port}" - if num_machines > 1 and dist_url.startswith("file://"): - logger = logging.getLogger(__name__) - logger.warning( - "file:// is not a reliable init_method in multi-machine jobs. Prefer tcp://" - ) - - mp.start_processes( - _distributed_worker, - nprocs=num_gpus_per_machine, - args=( - main_func, - world_size, - num_gpus_per_machine, - machine_rank, - dist_url, - args, - timeout, - ), - daemon=False, - ) - else: - main_func(*args) - - -def _distributed_worker( - local_rank, - main_func, - world_size, - num_gpus_per_machine, - machine_rank, - dist_url, - args, - timeout=DEFAULT_TIMEOUT, -): - has_gpu = torch.cuda.is_available() - if has_gpu: - assert num_gpus_per_machine <= torch.cuda.device_count() - global_rank = machine_rank * num_gpus_per_machine + local_rank - try: - dist.init_process_group( - backend="NCCL" if has_gpu else "GLOO", - init_method=dist_url, - world_size=world_size, - rank=global_rank, - timeout=timeout, - ) - except Exception as e: - logger = logging.getLogger(__name__) - logger.error("Process group URL: {}".format(dist_url)) - raise e - - # Setup the local process group. - comm.create_local_process_group(num_gpus_per_machine) - if has_gpu: - torch.cuda.set_device(local_rank) - - # synchronize is needed here to prevent a possible timeout after calling init_process_group - # See: https://github.com/facebookresearch/maskrcnn-benchmark/issues/172 - comm.synchronize() - - main_func(*args) diff --git a/spaces/cozyanduofen/bingo/src/pages/api/sydney.ts b/spaces/cozyanduofen/bingo/src/pages/api/sydney.ts deleted file mode 100644 index 0e7bbf23d77c2e1a6635185a060eeee58b8c8e66..0000000000000000000000000000000000000000 --- a/spaces/cozyanduofen/bingo/src/pages/api/sydney.ts +++ /dev/null @@ -1,62 +0,0 @@ -import { NextApiRequest, NextApiResponse } from 'next' -import { WebSocket, debug } from '@/lib/isomorphic' -import { BingWebBot } from '@/lib/bots/bing' -import { websocketUtils } from '@/lib/bots/bing/utils' -import { WatchDog, createHeaders } from '@/lib/utils' - - -export default async function handler(req: NextApiRequest, res: NextApiResponse) { - const conversationContext = req.body - const headers = createHeaders(req.cookies) - debug(headers) - res.setHeader('Content-Type', 'text/stream; charset=UTF-8') - - const ws = new WebSocket('wss://sydney.bing.com/sydney/ChatHub', { - headers: { - ...headers, - 'accept-language': 'zh-CN,zh;q=0.9', - 'cache-control': 'no-cache', - 'x-ms-useragent': 'azsdk-js-api-client-factory/1.0.0-beta.1 core-rest-pipeline/1.10.0 OS/Win32', - pragma: 'no-cache', - } - }) - - const closeDog = new WatchDog() - const timeoutDog = new WatchDog() - ws.onmessage = (event) => { - timeoutDog.watch(() => { - ws.send(websocketUtils.packMessage({ type: 6 })) - }, 1500) - closeDog.watch(() => { - ws.close() - }, 10000) - res.write(event.data) - if (/\{"type":([367])\}/.test(String(event.data))) { - const type = parseInt(RegExp.$1, 10) - debug('connection type', type) - if (type === 3) { - ws.close() - } else { - ws.send(websocketUtils.packMessage({ type })) - } - } - } - - ws.onclose = () => { - timeoutDog.reset() - closeDog.reset() - debug('connection close') - res.end() - } - - await new Promise((resolve) => ws.onopen = resolve) - ws.send(websocketUtils.packMessage({ protocol: 'json', version: 1 })) - ws.send(websocketUtils.packMessage({ type: 6 })) - ws.send(websocketUtils.packMessage(BingWebBot.buildChatRequest(conversationContext!))) - req.socket.once('close', () => { - ws.close() - if (!res.closed) { - res.end() - } - }) -} diff --git a/spaces/cozyanduofen/bingo/tailwind.config.js b/spaces/cozyanduofen/bingo/tailwind.config.js deleted file mode 100644 index 03da3c3c45be6983b9f5ffa6df5f1fd0870e9636..0000000000000000000000000000000000000000 --- a/spaces/cozyanduofen/bingo/tailwind.config.js +++ /dev/null @@ -1,48 +0,0 @@ -/** @type {import('tailwindcss').Config} */ -module.exports = { - content: [ - './src/pages/**/*.{js,ts,jsx,tsx,mdx}', - './src/components/**/*.{js,ts,jsx,tsx,mdx}', - './src/app/**/*.{js,ts,jsx,tsx,mdx}', - './src/ui/**/*.{js,ts,jsx,tsx,mdx}', - ], - "darkMode": "class", - theme: { - extend: { - colors: { - 'primary-blue': 'rgb(var(--color-primary-blue) / )', - secondary: 'rgb(var(--color-secondary) / )', - 'primary-background': 'rgb(var(--primary-background) / )', - 'primary-text': 'rgb(var(--primary-text) / )', - 'secondary-text': 'rgb(var(--secondary-text) / )', - 'light-text': 'rgb(var(--light-text) / )', - 'primary-border': 'rgb(var(--primary-border) / )', - }, - keyframes: { - slideDownAndFade: { - from: { opacity: 0, transform: 'translateY(-2px)' }, - to: { opacity: 1, transform: 'translateY(0)' }, - }, - slideLeftAndFade: { - from: { opacity: 0, transform: 'translateX(2px)' }, - to: { opacity: 1, transform: 'translateX(0)' }, - }, - slideUpAndFade: { - from: { opacity: 0, transform: 'translateY(2px)' }, - to: { opacity: 1, transform: 'translateY(0)' }, - }, - slideRightAndFade: { - from: { opacity: 0, transform: 'translateX(2px)' }, - to: { opacity: 1, transform: 'translateX(0)' }, - }, - }, - animation: { - slideDownAndFade: 'slideDownAndFade 400ms cubic-bezier(0.16, 1, 0.3, 1)', - slideLeftAndFade: 'slideLeftAndFade 400ms cubic-bezier(0.16, 1, 0.3, 1)', - slideUpAndFade: 'slideUpAndFade 400ms cubic-bezier(0.16, 1, 0.3, 1)', - slideRightAndFade: 'slideRightAndFade 400ms cubic-bezier(0.16, 1, 0.3, 1)', - }, - }, - }, - plugins: [require('@headlessui/tailwindcss'), require('tailwind-scrollbar')], -} diff --git a/spaces/cpwan/RLOR-TSP/wrappers/recordWrapper.py b/spaces/cpwan/RLOR-TSP/wrappers/recordWrapper.py deleted file mode 100644 index 0f24e0b3d68db888c3983314c540e10a13c12520..0000000000000000000000000000000000000000 --- a/spaces/cpwan/RLOR-TSP/wrappers/recordWrapper.py +++ /dev/null @@ -1,62 +0,0 @@ -import time -from collections import deque - -import gym -import numpy as np - - -class RecordEpisodeStatistics(gym.Wrapper): - def __init__(self, env, deque_size=100): - super().__init__(env) - self.num_envs = getattr(env, "num_envs", 1) - self.n_traj = env.n_traj - self.t0 = time.perf_counter() - self.episode_count = 0 - self.episode_returns = None - self.episode_lengths = None - self.return_queue = deque(maxlen=deque_size) - self.length_queue = deque(maxlen=deque_size) - self.is_vector_env = getattr(env, "is_vector_env", False) - - def reset(self, **kwargs): - observations = super().reset(**kwargs) - self.episode_returns = np.zeros((self.num_envs, self.n_traj), dtype=np.float32) - self.episode_lengths = np.zeros(self.num_envs, dtype=np.int32) - self.finished = [False] * self.num_envs - return observations - - def step(self, action): - observations, rewards, dones, infos = super().step(action) - self.episode_returns += rewards - self.episode_lengths += 1 - if not self.is_vector_env: - infos = [infos] - dones = [dones] - else: - infos = list(infos) # Convert infos to mutable type - for i in range(len(dones)): - if dones[i].all() and not self.finished[i]: - infos[i] = infos[i].copy() - episode_return = self.episode_returns[i] - episode_length = self.episode_lengths[i] - episode_info = { - "r": episode_return.copy(), - "l": episode_length, - "t": round(time.perf_counter() - self.t0, 6), - } - infos[i]["episode"] = episode_info - self.return_queue.append(episode_return) - self.length_queue.append(episode_length) - self.episode_count += 1 - self.episode_returns[i] = 0 - self.episode_lengths[i] = 0 - self.finished[i] = True - - if self.is_vector_env: - infos = tuple(infos) - return ( - observations, - rewards, - dones if self.is_vector_env else dones[0], - infos if self.is_vector_env else infos[0], - ) diff --git a/spaces/cuixuhan/888/README.md b/spaces/cuixuhan/888/README.md deleted file mode 100644 index c3b975a898b2abc9eb7593b6a2379de21384bc4e..0000000000000000000000000000000000000000 --- a/spaces/cuixuhan/888/README.md +++ /dev/null @@ -1,10 +0,0 @@ ---- -title: 888 -emoji: 🐨 -colorFrom: purple -colorTo: gray -sdk: static -pinned: false ---- - -Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference diff --git a/spaces/cvlab/zero123-live/ldm/modules/diffusionmodules/util.py b/spaces/cvlab/zero123-live/ldm/modules/diffusionmodules/util.py deleted file mode 100644 index a952e6c40308c33edd422da0ce6a60f47e73661b..0000000000000000000000000000000000000000 --- a/spaces/cvlab/zero123-live/ldm/modules/diffusionmodules/util.py +++ /dev/null @@ -1,267 +0,0 @@ -# adopted from -# https://github.com/openai/improved-diffusion/blob/main/improved_diffusion/gaussian_diffusion.py -# and -# https://github.com/lucidrains/denoising-diffusion-pytorch/blob/7706bdfc6f527f58d33f84b7b522e61e6e3164b3/denoising_diffusion_pytorch/denoising_diffusion_pytorch.py -# and -# https://github.com/openai/guided-diffusion/blob/0ba878e517b276c45d1195eb29f6f5f72659a05b/guided_diffusion/nn.py -# -# thanks! - - -import os -import math -import torch -import torch.nn as nn -import numpy as np -from einops import repeat - -from ldm.util import instantiate_from_config - - -def make_beta_schedule(schedule, n_timestep, linear_start=1e-4, linear_end=2e-2, cosine_s=8e-3): - if schedule == "linear": - betas = ( - torch.linspace(linear_start ** 0.5, linear_end ** 0.5, n_timestep, dtype=torch.float64) ** 2 - ) - - elif schedule == "cosine": - timesteps = ( - torch.arange(n_timestep + 1, dtype=torch.float64) / n_timestep + cosine_s - ) - alphas = timesteps / (1 + cosine_s) * np.pi / 2 - alphas = torch.cos(alphas).pow(2) - alphas = alphas / alphas[0] - betas = 1 - alphas[1:] / alphas[:-1] - betas = np.clip(betas, a_min=0, a_max=0.999) - - elif schedule == "sqrt_linear": - betas = torch.linspace(linear_start, linear_end, n_timestep, dtype=torch.float64) - elif schedule == "sqrt": - betas = torch.linspace(linear_start, linear_end, n_timestep, dtype=torch.float64) ** 0.5 - else: - raise ValueError(f"schedule '{schedule}' unknown.") - return betas.numpy() - - -def make_ddim_timesteps(ddim_discr_method, num_ddim_timesteps, num_ddpm_timesteps, verbose=True): - if ddim_discr_method == 'uniform': - c = num_ddpm_timesteps // num_ddim_timesteps - ddim_timesteps = np.asarray(list(range(0, num_ddpm_timesteps, c))) - elif ddim_discr_method == 'quad': - ddim_timesteps = ((np.linspace(0, np.sqrt(num_ddpm_timesteps * .8), num_ddim_timesteps)) ** 2).astype(int) - else: - raise NotImplementedError(f'There is no ddim discretization method called "{ddim_discr_method}"') - - # assert ddim_timesteps.shape[0] == num_ddim_timesteps - # add one to get the final alpha values right (the ones from first scale to data during sampling) - steps_out = ddim_timesteps + 1 - if verbose: - print(f'Selected timesteps for ddim sampler: {steps_out}') - return steps_out - - -def make_ddim_sampling_parameters(alphacums, ddim_timesteps, eta, verbose=True): - # select alphas for computing the variance schedule - alphas = alphacums[ddim_timesteps] - alphas_prev = np.asarray([alphacums[0]] + alphacums[ddim_timesteps[:-1]].tolist()) - - # according the the formula provided in https://arxiv.org/abs/2010.02502 - sigmas = eta * np.sqrt((1 - alphas_prev) / (1 - alphas) * (1 - alphas / alphas_prev)) - if verbose: - print(f'Selected alphas for ddim sampler: a_t: {alphas}; a_(t-1): {alphas_prev}') - print(f'For the chosen value of eta, which is {eta}, ' - f'this results in the following sigma_t schedule for ddim sampler {sigmas}') - return sigmas, alphas, alphas_prev - - -def betas_for_alpha_bar(num_diffusion_timesteps, alpha_bar, max_beta=0.999): - """ - Create a beta schedule that discretizes the given alpha_t_bar function, - which defines the cumulative product of (1-beta) over time from t = [0,1]. - :param num_diffusion_timesteps: the number of betas to produce. - :param alpha_bar: a lambda that takes an argument t from 0 to 1 and - produces the cumulative product of (1-beta) up to that - part of the diffusion process. - :param max_beta: the maximum beta to use; use values lower than 1 to - prevent singularities. - """ - betas = [] - for i in range(num_diffusion_timesteps): - t1 = i / num_diffusion_timesteps - t2 = (i + 1) / num_diffusion_timesteps - betas.append(min(1 - alpha_bar(t2) / alpha_bar(t1), max_beta)) - return np.array(betas) - - -def extract_into_tensor(a, t, x_shape): - b, *_ = t.shape - out = a.gather(-1, t) - return out.reshape(b, *((1,) * (len(x_shape) - 1))) - - -def checkpoint(func, inputs, params, flag): - """ - Evaluate a function without caching intermediate activations, allowing for - reduced memory at the expense of extra compute in the backward pass. - :param func: the function to evaluate. - :param inputs: the argument sequence to pass to `func`. - :param params: a sequence of parameters `func` depends on but does not - explicitly take as arguments. - :param flag: if False, disable gradient checkpointing. - """ - if flag: - args = tuple(inputs) + tuple(params) - return CheckpointFunction.apply(func, len(inputs), *args) - else: - return func(*inputs) - - -class CheckpointFunction(torch.autograd.Function): - @staticmethod - def forward(ctx, run_function, length, *args): - ctx.run_function = run_function - ctx.input_tensors = list(args[:length]) - ctx.input_params = list(args[length:]) - - with torch.no_grad(): - output_tensors = ctx.run_function(*ctx.input_tensors) - return output_tensors - - @staticmethod - def backward(ctx, *output_grads): - ctx.input_tensors = [x.detach().requires_grad_(True) for x in ctx.input_tensors] - with torch.enable_grad(): - # Fixes a bug where the first op in run_function modifies the - # Tensor storage in place, which is not allowed for detach()'d - # Tensors. - shallow_copies = [x.view_as(x) for x in ctx.input_tensors] - output_tensors = ctx.run_function(*shallow_copies) - input_grads = torch.autograd.grad( - output_tensors, - ctx.input_tensors + ctx.input_params, - output_grads, - allow_unused=True, - ) - del ctx.input_tensors - del ctx.input_params - del output_tensors - return (None, None) + input_grads - - -def timestep_embedding(timesteps, dim, max_period=10000, repeat_only=False): - """ - Create sinusoidal timestep embeddings. - :param timesteps: a 1-D Tensor of N indices, one per batch element. - These may be fractional. - :param dim: the dimension of the output. - :param max_period: controls the minimum frequency of the embeddings. - :return: an [N x dim] Tensor of positional embeddings. - """ - if not repeat_only: - half = dim // 2 - freqs = torch.exp( - -math.log(max_period) * torch.arange(start=0, end=half, dtype=torch.float32) / half - ).to(device=timesteps.device) - args = timesteps[:, None].float() * freqs[None] - embedding = torch.cat([torch.cos(args), torch.sin(args)], dim=-1) - if dim % 2: - embedding = torch.cat([embedding, torch.zeros_like(embedding[:, :1])], dim=-1) - else: - embedding = repeat(timesteps, 'b -> b d', d=dim) - return embedding - - -def zero_module(module): - """ - Zero out the parameters of a module and return it. - """ - for p in module.parameters(): - p.detach().zero_() - return module - - -def scale_module(module, scale): - """ - Scale the parameters of a module and return it. - """ - for p in module.parameters(): - p.detach().mul_(scale) - return module - - -def mean_flat(tensor): - """ - Take the mean over all non-batch dimensions. - """ - return tensor.mean(dim=list(range(1, len(tensor.shape)))) - - -def normalization(channels): - """ - Make a standard normalization layer. - :param channels: number of input channels. - :return: an nn.Module for normalization. - """ - return GroupNorm32(32, channels) - - -# PyTorch 1.7 has SiLU, but we support PyTorch 1.5. -class SiLU(nn.Module): - def forward(self, x): - return x * torch.sigmoid(x) - - -class GroupNorm32(nn.GroupNorm): - def forward(self, x): - return super().forward(x.float()).type(x.dtype) - -def conv_nd(dims, *args, **kwargs): - """ - Create a 1D, 2D, or 3D convolution module. - """ - if dims == 1: - return nn.Conv1d(*args, **kwargs) - elif dims == 2: - return nn.Conv2d(*args, **kwargs) - elif dims == 3: - return nn.Conv3d(*args, **kwargs) - raise ValueError(f"unsupported dimensions: {dims}") - - -def linear(*args, **kwargs): - """ - Create a linear module. - """ - return nn.Linear(*args, **kwargs) - - -def avg_pool_nd(dims, *args, **kwargs): - """ - Create a 1D, 2D, or 3D average pooling module. - """ - if dims == 1: - return nn.AvgPool1d(*args, **kwargs) - elif dims == 2: - return nn.AvgPool2d(*args, **kwargs) - elif dims == 3: - return nn.AvgPool3d(*args, **kwargs) - raise ValueError(f"unsupported dimensions: {dims}") - - -class HybridConditioner(nn.Module): - - def __init__(self, c_concat_config, c_crossattn_config): - super().__init__() - self.concat_conditioner = instantiate_from_config(c_concat_config) - self.crossattn_conditioner = instantiate_from_config(c_crossattn_config) - - def forward(self, c_concat, c_crossattn): - c_concat = self.concat_conditioner(c_concat) - c_crossattn = self.crossattn_conditioner(c_crossattn) - return {'c_concat': [c_concat], 'c_crossattn': [c_crossattn]} - - -def noise_like(shape, device, repeat=False): - repeat_noise = lambda: torch.randn((1, *shape[1:]), device=device).repeat(shape[0], *((1,) * (len(shape) - 1))) - noise = lambda: torch.randn(shape, device=device) - return repeat_noise() if repeat else noise() \ No newline at end of file diff --git a/spaces/danieldux/isco-gpt/README 2.md b/spaces/danieldux/isco-gpt/README 2.md deleted file mode 100644 index d95f38d3c0c75b25505ee695f443e2863db55b54..0000000000000000000000000000000000000000 --- a/spaces/danieldux/isco-gpt/README 2.md +++ /dev/null @@ -1,54 +0,0 @@ -

-FileGPT 🤖 -

- -Read the article to know how it works: Medium Article - -With File GPT you will be able to extract all the information from a file. -You will obtain the transcription, the embedding of each segment and also ask questions to the file through a chat. - -All code was written with the help of Code GPT - -Captura de Pantalla 2023-02-08 a la(s) 9 16 43 p  m - -
-
- -# Features - -- Read any pdf, docx, txt or csv file -- Embedding texts segments with Langchain and OpenAI (**text-embedding-ada-002**) -- Chat with the file using **streamlit-chat** and LangChain QA with source and (**text-davinci-003**) - -# Running Locally - -1. Clone the repository - -```bash -git clone https://github.com/davila7/file-gpt -cd file-gpt -``` -2. Install dependencies - -These dependencies are required to install with the requirements.txt file: - -* openai -* pypdf -* scikit-learn -* numpy -* tiktoken -* docx2txt -* langchain -* pydantic -* typing -* faiss-cpu -* streamlit_chat - -```bash -pip install -r requirements.txt -``` -3. Run the Streamlit server - -```bash -streamlit run app.py -``` diff --git a/spaces/davidpiscasio/unpaired-img2img/models/base_model.py b/spaces/davidpiscasio/unpaired-img2img/models/base_model.py deleted file mode 100644 index 6de961b51a2cc12634fc40c39f63b017c6262b4c..0000000000000000000000000000000000000000 --- a/spaces/davidpiscasio/unpaired-img2img/models/base_model.py +++ /dev/null @@ -1,230 +0,0 @@ -import os -import torch -from collections import OrderedDict -from abc import ABC, abstractmethod -from . import networks - - -class BaseModel(ABC): - """This class is an abstract base class (ABC) for models. - To create a subclass, you need to implement the following five functions: - -- <__init__>: initialize the class; first call BaseModel.__init__(self, opt). - -- : unpack data from dataset and apply preprocessing. - -- : produce intermediate results. - -- : calculate losses, gradients, and update network weights. - -- : (optionally) add model-specific options and set default options. - """ - - def __init__(self, opt): - """Initialize the BaseModel class. - - Parameters: - opt (Option class)-- stores all the experiment flags; needs to be a subclass of BaseOptions - - When creating your custom class, you need to implement your own initialization. - In this function, you should first call - Then, you need to define four lists: - -- self.loss_names (str list): specify the training losses that you want to plot and save. - -- self.model_names (str list): define networks used in our training. - -- self.visual_names (str list): specify the images that you want to display and save. - -- self.optimizers (optimizer list): define and initialize optimizers. You can define one optimizer for each network. If two networks are updated at the same time, you can use itertools.chain to group them. See cycle_gan_model.py for an example. - """ - self.opt = opt - self.gpu_ids = opt.gpu_ids - self.isTrain = opt.isTrain - self.device = torch.device('cuda:{}'.format(self.gpu_ids[0])) if self.gpu_ids else torch.device('cpu') # get device name: CPU or GPU - self.save_dir = os.path.join(opt.checkpoints_dir, opt.name) # save all the checkpoints to save_dir - if opt.preprocess != 'scale_width': # with [scale_width], input images might have different sizes, which hurts the performance of cudnn.benchmark. - torch.backends.cudnn.benchmark = True - self.loss_names = [] - self.model_names = [] - self.visual_names = [] - self.optimizers = [] - self.image_paths = [] - self.metric = 0 # used for learning rate policy 'plateau' - - @staticmethod - def modify_commandline_options(parser, is_train): - """Add new model-specific options, and rewrite default values for existing options. - - Parameters: - parser -- original option parser - is_train (bool) -- whether training phase or test phase. You can use this flag to add training-specific or test-specific options. - - Returns: - the modified parser. - """ - return parser - - @abstractmethod - def set_input(self, input): - """Unpack input data from the dataloader and perform necessary pre-processing steps. - - Parameters: - input (dict): includes the data itself and its metadata information. - """ - pass - - @abstractmethod - def forward(self): - """Run forward pass; called by both functions and .""" - pass - - @abstractmethod - def optimize_parameters(self): - """Calculate losses, gradients, and update network weights; called in every training iteration""" - pass - - def setup(self, opt): - """Load and print networks; create schedulers - - Parameters: - opt (Option class) -- stores all the experiment flags; needs to be a subclass of BaseOptions - """ - if self.isTrain: - self.schedulers = [networks.get_scheduler(optimizer, opt) for optimizer in self.optimizers] - if not self.isTrain or opt.continue_train: - load_suffix = 'iter_%d' % opt.load_iter if opt.load_iter > 0 else opt.epoch - self.load_networks(load_suffix) - self.print_networks(opt.verbose) - - def eval(self): - """Make models eval mode during test time""" - for name in self.model_names: - if isinstance(name, str): - net = getattr(self, 'net' + name) - net.eval() - - def test(self): - """Forward function used in test time. - - This function wraps function in no_grad() so we don't save intermediate steps for backprop - It also calls to produce additional visualization results - """ - with torch.no_grad(): - self.forward() - self.compute_visuals() - - def compute_visuals(self): - """Calculate additional output images for visdom and HTML visualization""" - pass - - def get_image_paths(self): - """ Return image paths that are used to load current data""" - return self.image_paths - - def update_learning_rate(self): - """Update learning rates for all the networks; called at the end of every epoch""" - old_lr = self.optimizers[0].param_groups[0]['lr'] - for scheduler in self.schedulers: - if self.opt.lr_policy == 'plateau': - scheduler.step(self.metric) - else: - scheduler.step() - - lr = self.optimizers[0].param_groups[0]['lr'] - print('learning rate %.7f -> %.7f' % (old_lr, lr)) - - def get_current_visuals(self): - """Return visualization images. train.py will display these images with visdom, and save the images to a HTML""" - visual_ret = OrderedDict() - for name in self.visual_names: - if isinstance(name, str): - visual_ret[name] = getattr(self, name) - return visual_ret - - def get_current_losses(self): - """Return traning losses / errors. train.py will print out these errors on console, and save them to a file""" - errors_ret = OrderedDict() - for name in self.loss_names: - if isinstance(name, str): - errors_ret[name] = float(getattr(self, 'loss_' + name)) # float(...) works for both scalar tensor and float number - return errors_ret - - def save_networks(self, epoch): - """Save all the networks to the disk. - - Parameters: - epoch (int) -- current epoch; used in the file name '%s_net_%s.pth' % (epoch, name) - """ - for name in self.model_names: - if isinstance(name, str): - save_filename = '%s_net_%s.pth' % (epoch, name) - save_path = os.path.join(self.save_dir, save_filename) - net = getattr(self, 'net' + name) - - if len(self.gpu_ids) > 0 and torch.cuda.is_available(): - torch.save(net.module.cpu().state_dict(), save_path) - net.cuda(self.gpu_ids[0]) - else: - torch.save(net.cpu().state_dict(), save_path) - - def __patch_instance_norm_state_dict(self, state_dict, module, keys, i=0): - """Fix InstanceNorm checkpoints incompatibility (prior to 0.4)""" - key = keys[i] - if i + 1 == len(keys): # at the end, pointing to a parameter/buffer - if module.__class__.__name__.startswith('InstanceNorm') and \ - (key == 'running_mean' or key == 'running_var'): - if getattr(module, key) is None: - state_dict.pop('.'.join(keys)) - if module.__class__.__name__.startswith('InstanceNorm') and \ - (key == 'num_batches_tracked'): - state_dict.pop('.'.join(keys)) - else: - self.__patch_instance_norm_state_dict(state_dict, getattr(module, key), keys, i + 1) - - def load_networks(self, epoch): - """Load all the networks from the disk. - - Parameters: - epoch (int) -- current epoch; used in the file name '%s_net_%s.pth' % (epoch, name) - """ - for name in self.model_names: - if isinstance(name, str): - load_filename = '%s_net_%s.pth' % (epoch, name) - load_path = os.path.join(self.save_dir, load_filename) - net = getattr(self, 'net' + name) - if isinstance(net, torch.nn.DataParallel): - net = net.module - print('loading the model from %s' % load_path) - # if you are using PyTorch newer than 0.4 (e.g., built from - # GitHub source), you can remove str() on self.device - state_dict = torch.load(load_path, map_location=str(self.device)) - if hasattr(state_dict, '_metadata'): - del state_dict._metadata - - # patch InstanceNorm checkpoints prior to 0.4 - for key in list(state_dict.keys()): # need to copy keys here because we mutate in loop - self.__patch_instance_norm_state_dict(state_dict, net, key.split('.')) - net.load_state_dict(state_dict) - - def print_networks(self, verbose): - """Print the total number of parameters in the network and (if verbose) network architecture - - Parameters: - verbose (bool) -- if verbose: print the network architecture - """ - print('---------- Networks initialized -------------') - for name in self.model_names: - if isinstance(name, str): - net = getattr(self, 'net' + name) - num_params = 0 - for param in net.parameters(): - num_params += param.numel() - if verbose: - print(net) - print('[Network %s] Total number of parameters : %.3f M' % (name, num_params / 1e6)) - print('-----------------------------------------------') - - def set_requires_grad(self, nets, requires_grad=False): - """Set requies_grad=Fasle for all the networks to avoid unnecessary computations - Parameters: - nets (network list) -- a list of networks - requires_grad (bool) -- whether the networks require gradients or not - """ - if not isinstance(nets, list): - nets = [nets] - for net in nets: - if net is not None: - for param in net.parameters(): - param.requires_grad = requires_grad diff --git a/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/filelock/_windows.py b/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/filelock/_windows.py deleted file mode 100644 index 41683f48d9862c3c49b88db872beac5699c11bc2..0000000000000000000000000000000000000000 --- a/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/filelock/_windows.py +++ /dev/null @@ -1,64 +0,0 @@ -from __future__ import annotations - -import os -import sys -from contextlib import suppress -from errno import EACCES -from pathlib import Path -from typing import cast - -from ._api import BaseFileLock -from ._util import raise_on_not_writable_file - -if sys.platform == "win32": # pragma: win32 cover - import msvcrt - - class WindowsFileLock(BaseFileLock): - """Uses the :func:`msvcrt.locking` function to hard lock the lock file on Windows systems.""" - - def _acquire(self) -> None: - raise_on_not_writable_file(self.lock_file) - flags = ( - os.O_RDWR # open for read and write - | os.O_CREAT # create file if not exists - | os.O_TRUNC # truncate file if not empty - ) - try: - fd = os.open(self.lock_file, flags, self._context.mode) - except OSError as exception: - if exception.errno != EACCES: # has no access to this lock - raise - else: - try: - msvcrt.locking(fd, msvcrt.LK_NBLCK, 1) - except OSError as exception: - os.close(fd) # close file first - if exception.errno != EACCES: # file is already locked - raise - else: - self._context.lock_file_fd = fd - - def _release(self) -> None: - fd = cast(int, self._context.lock_file_fd) - self._context.lock_file_fd = None - msvcrt.locking(fd, msvcrt.LK_UNLCK, 1) - os.close(fd) - - with suppress(OSError): # Probably another instance of the application hat acquired the file lock. - Path(self.lock_file).unlink() - -else: # pragma: win32 no cover - - class WindowsFileLock(BaseFileLock): - """Uses the :func:`msvcrt.locking` function to hard lock the lock file on Windows systems.""" - - def _acquire(self) -> None: - raise NotImplementedError - - def _release(self) -> None: - raise NotImplementedError - - -__all__ = [ - "WindowsFileLock", -] diff --git a/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/gradio/templates/frontend/assets/color-b1c90dd4.js b/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/gradio/templates/frontend/assets/color-b1c90dd4.js deleted file mode 100644 index 3ae645c9014a882522644606f2d767c78cba531c..0000000000000000000000000000000000000000 --- a/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/gradio/templates/frontend/assets/color-b1c90dd4.js +++ /dev/null @@ -1,2 +0,0 @@ -import{ax as o}from"./index-39fce9e2.js";const t=r=>o[r%o.length];export{t as g}; -//# sourceMappingURL=color-b1c90dd4.js.map diff --git a/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/httpcore/_sync/http11.py b/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/httpcore/_sync/http11.py deleted file mode 100644 index edcce72abb8bc5b6aea634cf9d0b6d49ab8a2ffa..0000000000000000000000000000000000000000 --- a/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/httpcore/_sync/http11.py +++ /dev/null @@ -1,331 +0,0 @@ -import enum -import logging -import time -from types import TracebackType -from typing import ( - Iterable, - Iterator, - List, - Optional, - Tuple, - Type, - Union, - cast, -) - -import h11 - -from .._backends.base import NetworkStream -from .._exceptions import ( - ConnectionNotAvailable, - LocalProtocolError, - RemoteProtocolError, - map_exceptions, -) -from .._models import Origin, Request, Response -from .._synchronization import Lock, ShieldCancellation -from .._trace import Trace -from .interfaces import ConnectionInterface - -logger = logging.getLogger("httpcore.http11") - - -# A subset of `h11.Event` types supported by `_send_event` -H11SendEvent = Union[ - h11.Request, - h11.Data, - h11.EndOfMessage, -] - - -class HTTPConnectionState(enum.IntEnum): - NEW = 0 - ACTIVE = 1 - IDLE = 2 - CLOSED = 3 - - -class HTTP11Connection(ConnectionInterface): - READ_NUM_BYTES = 64 * 1024 - MAX_INCOMPLETE_EVENT_SIZE = 100 * 1024 - - def __init__( - self, - origin: Origin, - stream: NetworkStream, - keepalive_expiry: Optional[float] = None, - ) -> None: - self._origin = origin - self._network_stream = stream - self._keepalive_expiry: Optional[float] = keepalive_expiry - self._expire_at: Optional[float] = None - self._state = HTTPConnectionState.NEW - self._state_lock = Lock() - self._request_count = 0 - self._h11_state = h11.Connection( - our_role=h11.CLIENT, - max_incomplete_event_size=self.MAX_INCOMPLETE_EVENT_SIZE, - ) - - def handle_request(self, request: Request) -> Response: - if not self.can_handle_request(request.url.origin): - raise RuntimeError( - f"Attempted to send request to {request.url.origin} on connection " - f"to {self._origin}" - ) - - with self._state_lock: - if self._state in (HTTPConnectionState.NEW, HTTPConnectionState.IDLE): - self._request_count += 1 - self._state = HTTPConnectionState.ACTIVE - self._expire_at = None - else: - raise ConnectionNotAvailable() - - try: - kwargs = {"request": request} - with Trace("send_request_headers", logger, request, kwargs) as trace: - self._send_request_headers(**kwargs) - with Trace("send_request_body", logger, request, kwargs) as trace: - self._send_request_body(**kwargs) - with Trace( - "receive_response_headers", logger, request, kwargs - ) as trace: - ( - http_version, - status, - reason_phrase, - headers, - ) = self._receive_response_headers(**kwargs) - trace.return_value = ( - http_version, - status, - reason_phrase, - headers, - ) - - return Response( - status=status, - headers=headers, - content=HTTP11ConnectionByteStream(self, request), - extensions={ - "http_version": http_version, - "reason_phrase": reason_phrase, - "network_stream": self._network_stream, - }, - ) - except BaseException as exc: - with ShieldCancellation(): - with Trace("response_closed", logger, request) as trace: - self._response_closed() - raise exc - - # Sending the request... - - def _send_request_headers(self, request: Request) -> None: - timeouts = request.extensions.get("timeout", {}) - timeout = timeouts.get("write", None) - - with map_exceptions({h11.LocalProtocolError: LocalProtocolError}): - event = h11.Request( - method=request.method, - target=request.url.target, - headers=request.headers, - ) - self._send_event(event, timeout=timeout) - - def _send_request_body(self, request: Request) -> None: - timeouts = request.extensions.get("timeout", {}) - timeout = timeouts.get("write", None) - - assert isinstance(request.stream, Iterable) - for chunk in request.stream: - event = h11.Data(data=chunk) - self._send_event(event, timeout=timeout) - - self._send_event(h11.EndOfMessage(), timeout=timeout) - - def _send_event( - self, event: h11.Event, timeout: Optional[float] = None - ) -> None: - bytes_to_send = self._h11_state.send(event) - if bytes_to_send is not None: - self._network_stream.write(bytes_to_send, timeout=timeout) - - # Receiving the response... - - def _receive_response_headers( - self, request: Request - ) -> Tuple[bytes, int, bytes, List[Tuple[bytes, bytes]]]: - timeouts = request.extensions.get("timeout", {}) - timeout = timeouts.get("read", None) - - while True: - event = self._receive_event(timeout=timeout) - if isinstance(event, h11.Response): - break - if ( - isinstance(event, h11.InformationalResponse) - and event.status_code == 101 - ): - break - - http_version = b"HTTP/" + event.http_version - - # h11 version 0.11+ supports a `raw_items` interface to get the - # raw header casing, rather than the enforced lowercase headers. - headers = event.headers.raw_items() - - return http_version, event.status_code, event.reason, headers - - def _receive_response_body(self, request: Request) -> Iterator[bytes]: - timeouts = request.extensions.get("timeout", {}) - timeout = timeouts.get("read", None) - - while True: - event = self._receive_event(timeout=timeout) - if isinstance(event, h11.Data): - yield bytes(event.data) - elif isinstance(event, (h11.EndOfMessage, h11.PAUSED)): - break - - def _receive_event( - self, timeout: Optional[float] = None - ) -> Union[h11.Event, Type[h11.PAUSED]]: - while True: - with map_exceptions({h11.RemoteProtocolError: RemoteProtocolError}): - event = self._h11_state.next_event() - - if event is h11.NEED_DATA: - data = self._network_stream.read( - self.READ_NUM_BYTES, timeout=timeout - ) - - # If we feed this case through h11 we'll raise an exception like: - # - # httpcore.RemoteProtocolError: can't handle event type - # ConnectionClosed when role=SERVER and state=SEND_RESPONSE - # - # Which is accurate, but not very informative from an end-user - # perspective. Instead we handle this case distinctly and treat - # it as a ConnectError. - if data == b"" and self._h11_state.their_state == h11.SEND_RESPONSE: - msg = "Server disconnected without sending a response." - raise RemoteProtocolError(msg) - - self._h11_state.receive_data(data) - else: - # mypy fails to narrow the type in the above if statement above - return cast(Union[h11.Event, Type[h11.PAUSED]], event) - - def _response_closed(self) -> None: - with self._state_lock: - if ( - self._h11_state.our_state is h11.DONE - and self._h11_state.their_state is h11.DONE - ): - self._state = HTTPConnectionState.IDLE - self._h11_state.start_next_cycle() - if self._keepalive_expiry is not None: - now = time.monotonic() - self._expire_at = now + self._keepalive_expiry - else: - self.close() - - # Once the connection is no longer required... - - def close(self) -> None: - # Note that this method unilaterally closes the connection, and does - # not have any kind of locking in place around it. - self._state = HTTPConnectionState.CLOSED - self._network_stream.close() - - # The ConnectionInterface methods provide information about the state of - # the connection, allowing for a connection pooling implementation to - # determine when to reuse and when to close the connection... - - def can_handle_request(self, origin: Origin) -> bool: - return origin == self._origin - - def is_available(self) -> bool: - # Note that HTTP/1.1 connections in the "NEW" state are not treated as - # being "available". The control flow which created the connection will - # be able to send an outgoing request, but the connection will not be - # acquired from the connection pool for any other request. - return self._state == HTTPConnectionState.IDLE - - def has_expired(self) -> bool: - now = time.monotonic() - keepalive_expired = self._expire_at is not None and now > self._expire_at - - # If the HTTP connection is idle but the socket is readable, then the - # only valid state is that the socket is about to return b"", indicating - # a server-initiated disconnect. - server_disconnected = ( - self._state == HTTPConnectionState.IDLE - and self._network_stream.get_extra_info("is_readable") - ) - - return keepalive_expired or server_disconnected - - def is_idle(self) -> bool: - return self._state == HTTPConnectionState.IDLE - - def is_closed(self) -> bool: - return self._state == HTTPConnectionState.CLOSED - - def info(self) -> str: - origin = str(self._origin) - return ( - f"{origin!r}, HTTP/1.1, {self._state.name}, " - f"Request Count: {self._request_count}" - ) - - def __repr__(self) -> str: - class_name = self.__class__.__name__ - origin = str(self._origin) - return ( - f"<{class_name} [{origin!r}, {self._state.name}, " - f"Request Count: {self._request_count}]>" - ) - - # These context managers are not used in the standard flow, but are - # useful for testing or working with connection instances directly. - - def __enter__(self) -> "HTTP11Connection": - return self - - def __exit__( - self, - exc_type: Optional[Type[BaseException]] = None, - exc_value: Optional[BaseException] = None, - traceback: Optional[TracebackType] = None, - ) -> None: - self.close() - - -class HTTP11ConnectionByteStream: - def __init__(self, connection: HTTP11Connection, request: Request) -> None: - self._connection = connection - self._request = request - self._closed = False - - def __iter__(self) -> Iterator[bytes]: - kwargs = {"request": self._request} - try: - with Trace("receive_response_body", logger, self._request, kwargs): - for chunk in self._connection._receive_response_body(**kwargs): - yield chunk - except BaseException as exc: - # If we get an exception while streaming the response, - # we want to close the response (and possibly the connection) - # before raising that exception. - with ShieldCancellation(): - self.close() - raise exc - - def close(self) -> None: - if not self._closed: - self._closed = True - with Trace("response_closed", logger, self._request): - self._connection._response_closed() diff --git a/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/markdown_it/rules_block/reference.py b/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/markdown_it/rules_block/reference.py deleted file mode 100644 index b77944b2ee8133727da934c3c7dbe800f2fc28ce..0000000000000000000000000000000000000000 --- a/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/markdown_it/rules_block/reference.py +++ /dev/null @@ -1,215 +0,0 @@ -import logging - -from ..common.utils import charCodeAt, isSpace, normalizeReference -from .state_block import StateBlock - -LOGGER = logging.getLogger(__name__) - - -def reference(state: StateBlock, startLine: int, _endLine: int, silent: bool) -> bool: - LOGGER.debug( - "entering reference: %s, %s, %s, %s", state, startLine, _endLine, silent - ) - - lines = 0 - pos = state.bMarks[startLine] + state.tShift[startLine] - maximum = state.eMarks[startLine] - nextLine = startLine + 1 - - if state.is_code_block(startLine): - return False - - if state.src[pos] != "[": - return False - - # Simple check to quickly interrupt scan on [link](url) at the start of line. - # Can be useful on practice: https:#github.com/markdown-it/markdown-it/issues/54 - while pos < maximum: - # /* ] */ /* \ */ /* : */ - if state.src[pos] == "]" and state.src[pos - 1] != "\\": - if pos + 1 == maximum: - return False - if state.src[pos + 1] != ":": - return False - break - pos += 1 - - endLine = state.lineMax - - # jump line-by-line until empty one or EOF - terminatorRules = state.md.block.ruler.getRules("reference") - - oldParentType = state.parentType - state.parentType = "reference" - - while nextLine < endLine and not state.isEmpty(nextLine): - # this would be a code block normally, but after paragraph - # it's considered a lazy continuation regardless of what's there - if state.sCount[nextLine] - state.blkIndent > 3: - nextLine += 1 - continue - - # quirk for blockquotes, this line should already be checked by that rule - if state.sCount[nextLine] < 0: - nextLine += 1 - continue - - # Some tags can terminate paragraph without empty line. - terminate = False - for terminatorRule in terminatorRules: - if terminatorRule(state, nextLine, endLine, True): - terminate = True - break - - if terminate: - break - - nextLine += 1 - - string = state.getLines(startLine, nextLine, state.blkIndent, False).strip() - maximum = len(string) - - labelEnd = None - pos = 1 - while pos < maximum: - ch = charCodeAt(string, pos) - if ch == 0x5B: # /* [ */ - return False - elif ch == 0x5D: # /* ] */ - labelEnd = pos - break - elif ch == 0x0A: # /* \n */ - lines += 1 - elif ch == 0x5C: # /* \ */ - pos += 1 - if pos < maximum and charCodeAt(string, pos) == 0x0A: - lines += 1 - pos += 1 - - if ( - labelEnd is None or labelEnd < 0 or charCodeAt(string, labelEnd + 1) != 0x3A - ): # /* : */ - return False - - # [label]: destination 'title' - # ^^^ skip optional whitespace here - pos = labelEnd + 2 - while pos < maximum: - ch = charCodeAt(string, pos) - if ch == 0x0A: - lines += 1 - elif isSpace(ch): - pass - else: - break - pos += 1 - - # [label]: destination 'title' - # ^^^^^^^^^^^ parse this - res = state.md.helpers.parseLinkDestination(string, pos, maximum) - if not res.ok: - return False - - href = state.md.normalizeLink(res.str) - if not state.md.validateLink(href): - return False - - pos = res.pos - lines += res.lines - - # save cursor state, we could require to rollback later - destEndPos = pos - destEndLineNo = lines - - # [label]: destination 'title' - # ^^^ skipping those spaces - start = pos - while pos < maximum: - ch = charCodeAt(string, pos) - if ch == 0x0A: - lines += 1 - elif isSpace(ch): - pass - else: - break - pos += 1 - - # [label]: destination 'title' - # ^^^^^^^ parse this - res = state.md.helpers.parseLinkTitle(string, pos, maximum) - if pos < maximum and start != pos and res.ok: - title = res.str - pos = res.pos - lines += res.lines - else: - title = "" - pos = destEndPos - lines = destEndLineNo - - # skip trailing spaces until the rest of the line - while pos < maximum: - ch = charCodeAt(string, pos) - if not isSpace(ch): - break - pos += 1 - - if pos < maximum and charCodeAt(string, pos) != 0x0A and title: - # garbage at the end of the line after title, - # but it could still be a valid reference if we roll back - title = "" - pos = destEndPos - lines = destEndLineNo - while pos < maximum: - ch = charCodeAt(string, pos) - if not isSpace(ch): - break - pos += 1 - - if pos < maximum and charCodeAt(string, pos) != 0x0A: - # garbage at the end of the line - return False - - label = normalizeReference(string[1:labelEnd]) - if not label: - # CommonMark 0.20 disallows empty labels - return False - - # Reference can not terminate anything. This check is for safety only. - if silent: - return True - - if "references" not in state.env: - state.env["references"] = {} - - state.line = startLine + lines + 1 - - # note, this is not part of markdown-it JS, but is useful for renderers - if state.md.options.get("inline_definitions", False): - token = state.push("definition", "", 0) - token.meta = { - "id": label, - "title": title, - "url": href, - "label": string[1:labelEnd], - } - token.map = [startLine, state.line] - - if label not in state.env["references"]: - state.env["references"][label] = { - "title": title, - "href": href, - "map": [startLine, state.line], - } - else: - state.env.setdefault("duplicate_refs", []).append( - { - "title": title, - "href": href, - "label": label, - "map": [startLine, state.line], - } - ) - - state.parentType = oldParentType - - return True diff --git a/spaces/de3sec/Front-end-code-generation-from-images/compiler/Utils.py b/spaces/de3sec/Front-end-code-generation-from-images/compiler/Utils.py deleted file mode 100644 index d84bae6559c8e752d4c034663cae22dd7b631952..0000000000000000000000000000000000000000 --- a/spaces/de3sec/Front-end-code-generation-from-images/compiler/Utils.py +++ /dev/null @@ -1,51 +0,0 @@ -__author__ = 'Taneem Jan, taneemishere.github.io' - -import string -import random - - -class Utils: - @staticmethod - def get_random_text(length_text=10, space_number=1, with_upper_case=True): - results = [] - while len(results) < length_text: - char = random.choice(string.ascii_letters[:26]) - results.append(char) - if with_upper_case: - results[0] = results[0].upper() - - current_spaces = [] - while len(current_spaces) < space_number: - space_pos = random.randint(2, length_text - 3) - if space_pos in current_spaces: - break - results[space_pos] = " " - if with_upper_case: - results[space_pos + 1] = results[space_pos - 1].upper() - - current_spaces.append(space_pos) - - return ''.join(results) - - @staticmethod - def get_ios_id(length=10): - results = [] - - while len(results) < length: - char = random.choice(string.digits + string.ascii_letters) - results.append(char) - - results[3] = "-" - results[6] = "-" - - return ''.join(results) - - @staticmethod - def get_android_id(length=10): - results = [] - - while len(results) < length: - char = random.choice(string.ascii_letters) - results.append(char) - - return ''.join(results) diff --git a/spaces/declare-lab/tango/diffusers/src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion.py b/spaces/declare-lab/tango/diffusers/src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion.py deleted file mode 100644 index 623b456e52b5bb0c283f943af9bc825863846afe..0000000000000000000000000000000000000000 --- a/spaces/declare-lab/tango/diffusers/src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion.py +++ /dev/null @@ -1,724 +0,0 @@ -# Copyright 2023 The HuggingFace Team. All rights reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import inspect -from typing import List, Optional, Tuple, Union - -import torch -import torch.nn as nn -import torch.utils.checkpoint -from transformers import PretrainedConfig, PreTrainedModel, PreTrainedTokenizer -from transformers.activations import ACT2FN -from transformers.modeling_outputs import BaseModelOutput -from transformers.utils import logging - -from ...models import AutoencoderKL, UNet2DConditionModel, UNet2DModel, VQModel -from ...schedulers import DDIMScheduler, LMSDiscreteScheduler, PNDMScheduler -from ...utils import randn_tensor -from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput - - -class LDMTextToImagePipeline(DiffusionPipeline): - r""" - This model inherits from [`DiffusionPipeline`]. Check the superclass documentation for the generic methods the - library implements for all the pipelines (such as downloading or saving, running on a particular device, etc.) - - Parameters: - vqvae ([`VQModel`]): - Vector-quantized (VQ) Model to encode and decode images to and from latent representations. - bert ([`LDMBertModel`]): - Text-encoder model based on [BERT](https://huggingface.co/docs/transformers/model_doc/bert) architecture. - tokenizer (`transformers.BertTokenizer`): - Tokenizer of class - [BertTokenizer](https://huggingface.co/docs/transformers/model_doc/bert#transformers.BertTokenizer). - unet ([`UNet2DConditionModel`]): Conditional U-Net architecture to denoise the encoded image latents. - scheduler ([`SchedulerMixin`]): - A scheduler to be used in combination with `unet` to denoise the encoded image latents. Can be one of - [`DDIMScheduler`], [`LMSDiscreteScheduler`], or [`PNDMScheduler`]. - """ - - def __init__( - self, - vqvae: Union[VQModel, AutoencoderKL], - bert: PreTrainedModel, - tokenizer: PreTrainedTokenizer, - unet: Union[UNet2DModel, UNet2DConditionModel], - scheduler: Union[DDIMScheduler, PNDMScheduler, LMSDiscreteScheduler], - ): - super().__init__() - self.register_modules(vqvae=vqvae, bert=bert, tokenizer=tokenizer, unet=unet, scheduler=scheduler) - self.vae_scale_factor = 2 ** (len(self.vqvae.config.block_out_channels) - 1) - - @torch.no_grad() - def __call__( - self, - prompt: Union[str, List[str]], - height: Optional[int] = None, - width: Optional[int] = None, - num_inference_steps: Optional[int] = 50, - guidance_scale: Optional[float] = 1.0, - eta: Optional[float] = 0.0, - generator: Optional[Union[torch.Generator, List[torch.Generator]]] = None, - latents: Optional[torch.FloatTensor] = None, - output_type: Optional[str] = "pil", - return_dict: bool = True, - **kwargs, - ) -> Union[Tuple, ImagePipelineOutput]: - r""" - Args: - prompt (`str` or `List[str]`): - The prompt or prompts to guide the image generation. - height (`int`, *optional*, defaults to self.unet.config.sample_size * self.vae_scale_factor): - The height in pixels of the generated image. - width (`int`, *optional*, defaults to self.unet.config.sample_size * self.vae_scale_factor): - The width in pixels of the generated image. - num_inference_steps (`int`, *optional*, defaults to 50): - The number of denoising steps. More denoising steps usually lead to a higher quality image at the - expense of slower inference. - guidance_scale (`float`, *optional*, defaults to 1.0): - Guidance scale as defined in [Classifier-Free Diffusion Guidance](https://arxiv.org/abs/2207.12598). - `guidance_scale` is defined as `w` of equation 2. of [Imagen - Paper](https://arxiv.org/pdf/2205.11487.pdf). Guidance scale is enabled by setting `guidance_scale > - 1`. Higher guidance scale encourages to generate images that are closely linked to the text `prompt` at - the, usually at the expense of lower image quality. - generator (`torch.Generator`, *optional*): - One or a list of [torch generator(s)](https://pytorch.org/docs/stable/generated/torch.Generator.html) - to make generation deterministic. - latents (`torch.FloatTensor`, *optional*): - Pre-generated noisy latents, sampled from a Gaussian distribution, to be used as inputs for image - generation. Can be used to tweak the same generation with different prompts. If not provided, a latents - tensor will ge generated by sampling using the supplied random `generator`. - output_type (`str`, *optional*, defaults to `"pil"`): - The output format of the generate image. Choose between - [PIL](https://pillow.readthedocs.io/en/stable/): `PIL.Image.Image` or `np.array`. - return_dict (`bool`, *optional*): - Whether or not to return a [`~pipelines.ImagePipelineOutput`] instead of a plain tuple. - - Returns: - [`~pipelines.ImagePipelineOutput`] or `tuple`: [`~pipelines.utils.ImagePipelineOutput`] if `return_dict` is - True, otherwise a `tuple. When returning a tuple, the first element is a list with the generated images. - """ - # 0. Default height and width to unet - height = height or self.unet.config.sample_size * self.vae_scale_factor - width = width or self.unet.config.sample_size * self.vae_scale_factor - - if isinstance(prompt, str): - batch_size = 1 - elif isinstance(prompt, list): - batch_size = len(prompt) - else: - raise ValueError(f"`prompt` has to be of type `str` or `list` but is {type(prompt)}") - - if height % 8 != 0 or width % 8 != 0: - raise ValueError(f"`height` and `width` have to be divisible by 8 but are {height} and {width}.") - - # get unconditional embeddings for classifier free guidance - if guidance_scale != 1.0: - uncond_input = self.tokenizer( - [""] * batch_size, padding="max_length", max_length=77, truncation=True, return_tensors="pt" - ) - negative_prompt_embeds = self.bert(uncond_input.input_ids.to(self.device))[0] - - # get prompt text embeddings - text_input = self.tokenizer(prompt, padding="max_length", max_length=77, truncation=True, return_tensors="pt") - prompt_embeds = self.bert(text_input.input_ids.to(self.device))[0] - - # get the initial random noise unless the user supplied it - latents_shape = (batch_size, self.unet.in_channels, height // 8, width // 8) - if isinstance(generator, list) and len(generator) != batch_size: - raise ValueError( - f"You have passed a list of generators of length {len(generator)}, but requested an effective batch" - f" size of {batch_size}. Make sure the batch size matches the length of the generators." - ) - - if latents is None: - latents = randn_tensor(latents_shape, generator=generator, device=self.device, dtype=prompt_embeds.dtype) - else: - if latents.shape != latents_shape: - raise ValueError(f"Unexpected latents shape, got {latents.shape}, expected {latents_shape}") - latents = latents.to(self.device) - - self.scheduler.set_timesteps(num_inference_steps) - - # prepare extra kwargs for the scheduler step, since not all schedulers have the same signature - accepts_eta = "eta" in set(inspect.signature(self.scheduler.step).parameters.keys()) - - extra_kwargs = {} - if accepts_eta: - extra_kwargs["eta"] = eta - - for t in self.progress_bar(self.scheduler.timesteps): - if guidance_scale == 1.0: - # guidance_scale of 1 means no guidance - latents_input = latents - context = prompt_embeds - else: - # For classifier free guidance, we need to do two forward passes. - # Here we concatenate the unconditional and text embeddings into a single batch - # to avoid doing two forward passes - latents_input = torch.cat([latents] * 2) - context = torch.cat([negative_prompt_embeds, prompt_embeds]) - - # predict the noise residual - noise_pred = self.unet(latents_input, t, encoder_hidden_states=context).sample - # perform guidance - if guidance_scale != 1.0: - noise_pred_uncond, noise_prediction_text = noise_pred.chunk(2) - noise_pred = noise_pred_uncond + guidance_scale * (noise_prediction_text - noise_pred_uncond) - - # compute the previous noisy sample x_t -> x_t-1 - latents = self.scheduler.step(noise_pred, t, latents, **extra_kwargs).prev_sample - - # scale and decode the image latents with vae - latents = 1 / self.vqvae.config.scaling_factor * latents - image = self.vqvae.decode(latents).sample - - image = (image / 2 + 0.5).clamp(0, 1) - image = image.cpu().permute(0, 2, 3, 1).numpy() - if output_type == "pil": - image = self.numpy_to_pil(image) - - if not return_dict: - return (image,) - - return ImagePipelineOutput(images=image) - - -################################################################################ -# Code for the text transformer model -################################################################################ -""" PyTorch LDMBERT model.""" - - -logger = logging.get_logger(__name__) - -LDMBERT_PRETRAINED_MODEL_ARCHIVE_LIST = [ - "ldm-bert", - # See all LDMBert models at https://huggingface.co/models?filter=ldmbert -] - - -LDMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP = { - "ldm-bert": "https://huggingface.co/valhalla/ldm-bert/blob/main/config.json", -} - - -""" LDMBERT model configuration""" - - -class LDMBertConfig(PretrainedConfig): - model_type = "ldmbert" - keys_to_ignore_at_inference = ["past_key_values"] - attribute_map = {"num_attention_heads": "encoder_attention_heads", "hidden_size": "d_model"} - - def __init__( - self, - vocab_size=30522, - max_position_embeddings=77, - encoder_layers=32, - encoder_ffn_dim=5120, - encoder_attention_heads=8, - head_dim=64, - encoder_layerdrop=0.0, - activation_function="gelu", - d_model=1280, - dropout=0.1, - attention_dropout=0.0, - activation_dropout=0.0, - init_std=0.02, - classifier_dropout=0.0, - scale_embedding=False, - use_cache=True, - pad_token_id=0, - **kwargs, - ): - self.vocab_size = vocab_size - self.max_position_embeddings = max_position_embeddings - self.d_model = d_model - self.encoder_ffn_dim = encoder_ffn_dim - self.encoder_layers = encoder_layers - self.encoder_attention_heads = encoder_attention_heads - self.head_dim = head_dim - self.dropout = dropout - self.attention_dropout = attention_dropout - self.activation_dropout = activation_dropout - self.activation_function = activation_function - self.init_std = init_std - self.encoder_layerdrop = encoder_layerdrop - self.classifier_dropout = classifier_dropout - self.use_cache = use_cache - self.num_hidden_layers = encoder_layers - self.scale_embedding = scale_embedding # scale factor will be sqrt(d_model) if True - - super().__init__(pad_token_id=pad_token_id, **kwargs) - - -def _expand_mask(mask: torch.Tensor, dtype: torch.dtype, tgt_len: Optional[int] = None): - """ - Expands attention_mask from `[bsz, seq_len]` to `[bsz, 1, tgt_seq_len, src_seq_len]`. - """ - bsz, src_len = mask.size() - tgt_len = tgt_len if tgt_len is not None else src_len - - expanded_mask = mask[:, None, None, :].expand(bsz, 1, tgt_len, src_len).to(dtype) - - inverted_mask = 1.0 - expanded_mask - - return inverted_mask.masked_fill(inverted_mask.to(torch.bool), torch.finfo(dtype).min) - - -# Copied from transformers.models.bart.modeling_bart.BartAttention with Bart->LDMBert -class LDMBertAttention(nn.Module): - """Multi-headed attention from 'Attention Is All You Need' paper""" - - def __init__( - self, - embed_dim: int, - num_heads: int, - head_dim: int, - dropout: float = 0.0, - is_decoder: bool = False, - bias: bool = False, - ): - super().__init__() - self.embed_dim = embed_dim - self.num_heads = num_heads - self.dropout = dropout - self.head_dim = head_dim - self.inner_dim = head_dim * num_heads - - self.scaling = self.head_dim**-0.5 - self.is_decoder = is_decoder - - self.k_proj = nn.Linear(embed_dim, self.inner_dim, bias=bias) - self.v_proj = nn.Linear(embed_dim, self.inner_dim, bias=bias) - self.q_proj = nn.Linear(embed_dim, self.inner_dim, bias=bias) - self.out_proj = nn.Linear(self.inner_dim, embed_dim) - - def _shape(self, tensor: torch.Tensor, seq_len: int, bsz: int): - return tensor.view(bsz, seq_len, self.num_heads, self.head_dim).transpose(1, 2).contiguous() - - def forward( - self, - hidden_states: torch.Tensor, - key_value_states: Optional[torch.Tensor] = None, - past_key_value: Optional[Tuple[torch.Tensor]] = None, - attention_mask: Optional[torch.Tensor] = None, - layer_head_mask: Optional[torch.Tensor] = None, - output_attentions: bool = False, - ) -> Tuple[torch.Tensor, Optional[torch.Tensor], Optional[Tuple[torch.Tensor]]]: - """Input shape: Batch x Time x Channel""" - - # if key_value_states are provided this layer is used as a cross-attention layer - # for the decoder - is_cross_attention = key_value_states is not None - - bsz, tgt_len, _ = hidden_states.size() - - # get query proj - query_states = self.q_proj(hidden_states) * self.scaling - # get key, value proj - if is_cross_attention and past_key_value is not None: - # reuse k,v, cross_attentions - key_states = past_key_value[0] - value_states = past_key_value[1] - elif is_cross_attention: - # cross_attentions - key_states = self._shape(self.k_proj(key_value_states), -1, bsz) - value_states = self._shape(self.v_proj(key_value_states), -1, bsz) - elif past_key_value is not None: - # reuse k, v, self_attention - key_states = self._shape(self.k_proj(hidden_states), -1, bsz) - value_states = self._shape(self.v_proj(hidden_states), -1, bsz) - key_states = torch.cat([past_key_value[0], key_states], dim=2) - value_states = torch.cat([past_key_value[1], value_states], dim=2) - else: - # self_attention - key_states = self._shape(self.k_proj(hidden_states), -1, bsz) - value_states = self._shape(self.v_proj(hidden_states), -1, bsz) - - if self.is_decoder: - # if cross_attention save Tuple(torch.Tensor, torch.Tensor) of all cross attention key/value_states. - # Further calls to cross_attention layer can then reuse all cross-attention - # key/value_states (first "if" case) - # if uni-directional self-attention (decoder) save Tuple(torch.Tensor, torch.Tensor) of - # all previous decoder key/value_states. Further calls to uni-directional self-attention - # can concat previous decoder key/value_states to current projected key/value_states (third "elif" case) - # if encoder bi-directional self-attention `past_key_value` is always `None` - past_key_value = (key_states, value_states) - - proj_shape = (bsz * self.num_heads, -1, self.head_dim) - query_states = self._shape(query_states, tgt_len, bsz).view(*proj_shape) - key_states = key_states.view(*proj_shape) - value_states = value_states.view(*proj_shape) - - src_len = key_states.size(1) - attn_weights = torch.bmm(query_states, key_states.transpose(1, 2)) - - if attn_weights.size() != (bsz * self.num_heads, tgt_len, src_len): - raise ValueError( - f"Attention weights should be of size {(bsz * self.num_heads, tgt_len, src_len)}, but is" - f" {attn_weights.size()}" - ) - - if attention_mask is not None: - if attention_mask.size() != (bsz, 1, tgt_len, src_len): - raise ValueError( - f"Attention mask should be of size {(bsz, 1, tgt_len, src_len)}, but is {attention_mask.size()}" - ) - attn_weights = attn_weights.view(bsz, self.num_heads, tgt_len, src_len) + attention_mask - attn_weights = attn_weights.view(bsz * self.num_heads, tgt_len, src_len) - - attn_weights = nn.functional.softmax(attn_weights, dim=-1) - - if layer_head_mask is not None: - if layer_head_mask.size() != (self.num_heads,): - raise ValueError( - f"Head mask for a single layer should be of size {(self.num_heads,)}, but is" - f" {layer_head_mask.size()}" - ) - attn_weights = layer_head_mask.view(1, -1, 1, 1) * attn_weights.view(bsz, self.num_heads, tgt_len, src_len) - attn_weights = attn_weights.view(bsz * self.num_heads, tgt_len, src_len) - - if output_attentions: - # this operation is a bit awkward, but it's required to - # make sure that attn_weights keeps its gradient. - # In order to do so, attn_weights have to be reshaped - # twice and have to be reused in the following - attn_weights_reshaped = attn_weights.view(bsz, self.num_heads, tgt_len, src_len) - attn_weights = attn_weights_reshaped.view(bsz * self.num_heads, tgt_len, src_len) - else: - attn_weights_reshaped = None - - attn_probs = nn.functional.dropout(attn_weights, p=self.dropout, training=self.training) - - attn_output = torch.bmm(attn_probs, value_states) - - if attn_output.size() != (bsz * self.num_heads, tgt_len, self.head_dim): - raise ValueError( - f"`attn_output` should be of size {(bsz, self.num_heads, tgt_len, self.head_dim)}, but is" - f" {attn_output.size()}" - ) - - attn_output = attn_output.view(bsz, self.num_heads, tgt_len, self.head_dim) - attn_output = attn_output.transpose(1, 2) - - # Use the `embed_dim` from the config (stored in the class) rather than `hidden_state` because `attn_output` can be - # partitioned across GPUs when using tensor-parallelism. - attn_output = attn_output.reshape(bsz, tgt_len, self.inner_dim) - - attn_output = self.out_proj(attn_output) - - return attn_output, attn_weights_reshaped, past_key_value - - -class LDMBertEncoderLayer(nn.Module): - def __init__(self, config: LDMBertConfig): - super().__init__() - self.embed_dim = config.d_model - self.self_attn = LDMBertAttention( - embed_dim=self.embed_dim, - num_heads=config.encoder_attention_heads, - head_dim=config.head_dim, - dropout=config.attention_dropout, - ) - self.self_attn_layer_norm = nn.LayerNorm(self.embed_dim) - self.dropout = config.dropout - self.activation_fn = ACT2FN[config.activation_function] - self.activation_dropout = config.activation_dropout - self.fc1 = nn.Linear(self.embed_dim, config.encoder_ffn_dim) - self.fc2 = nn.Linear(config.encoder_ffn_dim, self.embed_dim) - self.final_layer_norm = nn.LayerNorm(self.embed_dim) - - def forward( - self, - hidden_states: torch.FloatTensor, - attention_mask: torch.FloatTensor, - layer_head_mask: torch.FloatTensor, - output_attentions: Optional[bool] = False, - ) -> Tuple[torch.FloatTensor, Optional[torch.FloatTensor]]: - """ - Args: - hidden_states (`torch.FloatTensor`): input to the layer of shape `(seq_len, batch, embed_dim)` - attention_mask (`torch.FloatTensor`): attention mask of size - `(batch, 1, tgt_len, src_len)` where padding elements are indicated by very large negative values. - layer_head_mask (`torch.FloatTensor`): mask for attention heads in a given layer of size - `(encoder_attention_heads,)`. - output_attentions (`bool`, *optional*): - Whether or not to return the attentions tensors of all attention layers. See `attentions` under - returned tensors for more detail. - """ - residual = hidden_states - hidden_states = self.self_attn_layer_norm(hidden_states) - hidden_states, attn_weights, _ = self.self_attn( - hidden_states=hidden_states, - attention_mask=attention_mask, - layer_head_mask=layer_head_mask, - output_attentions=output_attentions, - ) - hidden_states = nn.functional.dropout(hidden_states, p=self.dropout, training=self.training) - hidden_states = residual + hidden_states - - residual = hidden_states - hidden_states = self.final_layer_norm(hidden_states) - hidden_states = self.activation_fn(self.fc1(hidden_states)) - hidden_states = nn.functional.dropout(hidden_states, p=self.activation_dropout, training=self.training) - hidden_states = self.fc2(hidden_states) - hidden_states = nn.functional.dropout(hidden_states, p=self.dropout, training=self.training) - hidden_states = residual + hidden_states - - if hidden_states.dtype == torch.float16 and ( - torch.isinf(hidden_states).any() or torch.isnan(hidden_states).any() - ): - clamp_value = torch.finfo(hidden_states.dtype).max - 1000 - hidden_states = torch.clamp(hidden_states, min=-clamp_value, max=clamp_value) - - outputs = (hidden_states,) - - if output_attentions: - outputs += (attn_weights,) - - return outputs - - -# Copied from transformers.models.bart.modeling_bart.BartPretrainedModel with Bart->LDMBert -class LDMBertPreTrainedModel(PreTrainedModel): - config_class = LDMBertConfig - base_model_prefix = "model" - _supports_gradient_checkpointing = True - _keys_to_ignore_on_load_unexpected = [r"encoder\.version", r"decoder\.version"] - - def _init_weights(self, module): - std = self.config.init_std - if isinstance(module, nn.Linear): - module.weight.data.normal_(mean=0.0, std=std) - if module.bias is not None: - module.bias.data.zero_() - elif isinstance(module, nn.Embedding): - module.weight.data.normal_(mean=0.0, std=std) - if module.padding_idx is not None: - module.weight.data[module.padding_idx].zero_() - - def _set_gradient_checkpointing(self, module, value=False): - if isinstance(module, (LDMBertEncoder,)): - module.gradient_checkpointing = value - - @property - def dummy_inputs(self): - pad_token = self.config.pad_token_id - input_ids = torch.tensor([[0, 6, 10, 4, 2], [0, 8, 12, 2, pad_token]], device=self.device) - dummy_inputs = { - "attention_mask": input_ids.ne(pad_token), - "input_ids": input_ids, - } - return dummy_inputs - - -class LDMBertEncoder(LDMBertPreTrainedModel): - """ - Transformer encoder consisting of *config.encoder_layers* self attention layers. Each layer is a - [`LDMBertEncoderLayer`]. - - Args: - config: LDMBertConfig - embed_tokens (nn.Embedding): output embedding - """ - - def __init__(self, config: LDMBertConfig): - super().__init__(config) - - self.dropout = config.dropout - - embed_dim = config.d_model - self.padding_idx = config.pad_token_id - self.max_source_positions = config.max_position_embeddings - - self.embed_tokens = nn.Embedding(config.vocab_size, embed_dim) - self.embed_positions = nn.Embedding(config.max_position_embeddings, embed_dim) - self.layers = nn.ModuleList([LDMBertEncoderLayer(config) for _ in range(config.encoder_layers)]) - self.layer_norm = nn.LayerNorm(embed_dim) - - self.gradient_checkpointing = False - # Initialize weights and apply final processing - self.post_init() - - def get_input_embeddings(self): - return self.embed_tokens - - def set_input_embeddings(self, value): - self.embed_tokens = value - - def forward( - self, - input_ids: torch.LongTensor = None, - attention_mask: Optional[torch.Tensor] = None, - position_ids: Optional[torch.LongTensor] = None, - head_mask: Optional[torch.Tensor] = None, - inputs_embeds: Optional[torch.FloatTensor] = None, - output_attentions: Optional[bool] = None, - output_hidden_states: Optional[bool] = None, - return_dict: Optional[bool] = None, - ) -> Union[Tuple, BaseModelOutput]: - r""" - Args: - input_ids (`torch.LongTensor` of shape `(batch_size, sequence_length)`): - Indices of input sequence tokens in the vocabulary. Padding will be ignored by default should you - provide it. - - Indices can be obtained using [`BartTokenizer`]. See [`PreTrainedTokenizer.encode`] and - [`PreTrainedTokenizer.__call__`] for details. - - [What are input IDs?](../glossary#input-ids) - attention_mask (`torch.Tensor` of shape `(batch_size, sequence_length)`, *optional*): - Mask to avoid performing attention on padding token indices. Mask values selected in `[0, 1]`: - - - 1 for tokens that are **not masked**, - - 0 for tokens that are **masked**. - - [What are attention masks?](../glossary#attention-mask) - head_mask (`torch.Tensor` of shape `(encoder_layers, encoder_attention_heads)`, *optional*): - Mask to nullify selected heads of the attention modules. Mask values selected in `[0, 1]`: - - - 1 indicates the head is **not masked**, - - 0 indicates the head is **masked**. - - inputs_embeds (`torch.FloatTensor` of shape `(batch_size, sequence_length, hidden_size)`, *optional*): - Optionally, instead of passing `input_ids` you can choose to directly pass an embedded representation. - This is useful if you want more control over how to convert `input_ids` indices into associated vectors - than the model's internal embedding lookup matrix. - output_attentions (`bool`, *optional*): - Whether or not to return the attentions tensors of all attention layers. See `attentions` under - returned tensors for more detail. - output_hidden_states (`bool`, *optional*): - Whether or not to return the hidden states of all layers. See `hidden_states` under returned tensors - for more detail. - return_dict (`bool`, *optional*): - Whether or not to return a [`~utils.BaseModelOutput`] instead of a plain tuple. - """ - output_attentions = output_attentions if output_attentions is not None else self.config.output_attentions - output_hidden_states = ( - output_hidden_states if output_hidden_states is not None else self.config.output_hidden_states - ) - return_dict = return_dict if return_dict is not None else self.config.use_return_dict - - # retrieve input_ids and inputs_embeds - if input_ids is not None and inputs_embeds is not None: - raise ValueError("You cannot specify both input_ids and inputs_embeds at the same time") - elif input_ids is not None: - input_shape = input_ids.size() - input_ids = input_ids.view(-1, input_shape[-1]) - elif inputs_embeds is not None: - input_shape = inputs_embeds.size()[:-1] - else: - raise ValueError("You have to specify either input_ids or inputs_embeds") - - if inputs_embeds is None: - inputs_embeds = self.embed_tokens(input_ids) - - seq_len = input_shape[1] - if position_ids is None: - position_ids = torch.arange(seq_len, dtype=torch.long, device=inputs_embeds.device).expand((1, -1)) - embed_pos = self.embed_positions(position_ids) - - hidden_states = inputs_embeds + embed_pos - hidden_states = nn.functional.dropout(hidden_states, p=self.dropout, training=self.training) - - # expand attention_mask - if attention_mask is not None: - # [bsz, seq_len] -> [bsz, 1, tgt_seq_len, src_seq_len] - attention_mask = _expand_mask(attention_mask, inputs_embeds.dtype) - - encoder_states = () if output_hidden_states else None - all_attentions = () if output_attentions else None - - # check if head_mask has a correct number of layers specified if desired - if head_mask is not None: - if head_mask.size()[0] != (len(self.layers)): - raise ValueError( - f"The head_mask should be specified for {len(self.layers)} layers, but it is for" - f" {head_mask.size()[0]}." - ) - - for idx, encoder_layer in enumerate(self.layers): - if output_hidden_states: - encoder_states = encoder_states + (hidden_states,) - if self.gradient_checkpointing and self.training: - - def create_custom_forward(module): - def custom_forward(*inputs): - return module(*inputs, output_attentions) - - return custom_forward - - layer_outputs = torch.utils.checkpoint.checkpoint( - create_custom_forward(encoder_layer), - hidden_states, - attention_mask, - (head_mask[idx] if head_mask is not None else None), - ) - else: - layer_outputs = encoder_layer( - hidden_states, - attention_mask, - layer_head_mask=(head_mask[idx] if head_mask is not None else None), - output_attentions=output_attentions, - ) - - hidden_states = layer_outputs[0] - - if output_attentions: - all_attentions = all_attentions + (layer_outputs[1],) - - hidden_states = self.layer_norm(hidden_states) - - if output_hidden_states: - encoder_states = encoder_states + (hidden_states,) - - if not return_dict: - return tuple(v for v in [hidden_states, encoder_states, all_attentions] if v is not None) - return BaseModelOutput( - last_hidden_state=hidden_states, hidden_states=encoder_states, attentions=all_attentions - ) - - -class LDMBertModel(LDMBertPreTrainedModel): - _no_split_modules = [] - - def __init__(self, config: LDMBertConfig): - super().__init__(config) - self.model = LDMBertEncoder(config) - self.to_logits = nn.Linear(config.hidden_size, config.vocab_size) - - def forward( - self, - input_ids=None, - attention_mask=None, - position_ids=None, - head_mask=None, - inputs_embeds=None, - output_attentions=None, - output_hidden_states=None, - return_dict=None, - ): - outputs = self.model( - input_ids, - attention_mask=attention_mask, - position_ids=position_ids, - head_mask=head_mask, - inputs_embeds=inputs_embeds, - output_attentions=output_attentions, - output_hidden_states=output_hidden_states, - return_dict=return_dict, - ) - return outputs diff --git a/spaces/declare-lab/tango/diffusers/src/diffusers/schedulers/scheduling_unipc_multistep.py b/spaces/declare-lab/tango/diffusers/src/diffusers/schedulers/scheduling_unipc_multistep.py deleted file mode 100644 index e4f38d0f5dadb2d67a1ce9ee329bf1494599396d..0000000000000000000000000000000000000000 --- a/spaces/declare-lab/tango/diffusers/src/diffusers/schedulers/scheduling_unipc_multistep.py +++ /dev/null @@ -1,611 +0,0 @@ -# Copyright 2023 TSAIL Team and The HuggingFace Team. All rights reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -# DISCLAIMER: check https://arxiv.org/abs/2302.04867 and https://github.com/wl-zhao/UniPC for more info -# The codebase is modified based on https://github.com/huggingface/diffusers/blob/main/src/diffusers/schedulers/scheduling_dpmsolver_multistep.py - -import math -from typing import List, Optional, Tuple, Union - -import numpy as np -import torch - -from ..configuration_utils import ConfigMixin, register_to_config -from .scheduling_utils import KarrasDiffusionSchedulers, SchedulerMixin, SchedulerOutput - - -def betas_for_alpha_bar(num_diffusion_timesteps, max_beta=0.999): - """ - Create a beta schedule that discretizes the given alpha_t_bar function, which defines the cumulative product of - (1-beta) over time from t = [0,1]. - - Contains a function alpha_bar that takes an argument t and transforms it to the cumulative product of (1-beta) up - to that part of the diffusion process. - - - Args: - num_diffusion_timesteps (`int`): the number of betas to produce. - max_beta (`float`): the maximum beta to use; use values lower than 1 to - prevent singularities. - - Returns: - betas (`np.ndarray`): the betas used by the scheduler to step the model outputs - """ - - def alpha_bar(time_step): - return math.cos((time_step + 0.008) / 1.008 * math.pi / 2) ** 2 - - betas = [] - for i in range(num_diffusion_timesteps): - t1 = i / num_diffusion_timesteps - t2 = (i + 1) / num_diffusion_timesteps - betas.append(min(1 - alpha_bar(t2) / alpha_bar(t1), max_beta)) - return torch.tensor(betas, dtype=torch.float32) - - -class UniPCMultistepScheduler(SchedulerMixin, ConfigMixin): - """ - UniPC is a training-free framework designed for the fast sampling of diffusion models, which consists of a - corrector (UniC) and a predictor (UniP) that share a unified analytical form and support arbitrary orders. UniPC is - by desinged model-agnostic, supporting pixel-space/latent-space DPMs on unconditional/conditional sampling. It can - also be applied to both noise prediction model and data prediction model. The corrector UniC can be also applied - after any off-the-shelf solvers to increase the order of accuracy. - - For more details, see the original paper: https://arxiv.org/abs/2302.04867 - - Currently, we support the multistep UniPC for both noise prediction models and data prediction models. We recommend - to use `solver_order=2` for guided sampling, and `solver_order=3` for unconditional sampling. - - We also support the "dynamic thresholding" method in Imagen (https://arxiv.org/abs/2205.11487). For pixel-space - diffusion models, you can set both `predict_x0=True` and `thresholding=True` to use the dynamic thresholding. Note - that the thresholding method is unsuitable for latent-space diffusion models (such as stable-diffusion). - - [`~ConfigMixin`] takes care of storing all config attributes that are passed in the scheduler's `__init__` - function, such as `num_train_timesteps`. They can be accessed via `scheduler.config.num_train_timesteps`. - [`SchedulerMixin`] provides general loading and saving functionality via the [`SchedulerMixin.save_pretrained`] and - [`~SchedulerMixin.from_pretrained`] functions. - - Args: - num_train_timesteps (`int`): number of diffusion steps used to train the model. - beta_start (`float`): the starting `beta` value of inference. - beta_end (`float`): the final `beta` value. - beta_schedule (`str`): - the beta schedule, a mapping from a beta range to a sequence of betas for stepping the model. Choose from - `linear`, `scaled_linear`, or `squaredcos_cap_v2`. - trained_betas (`np.ndarray`, optional): - option to pass an array of betas directly to the constructor to bypass `beta_start`, `beta_end` etc. - solver_order (`int`, default `2`): - the order of UniPC, also the p in UniPC-p; can be any positive integer. Note that the effective order of - accuracy is `solver_order + 1` due to the UniC. We recommend to use `solver_order=2` for guided sampling, - and `solver_order=3` for unconditional sampling. - prediction_type (`str`, default `epsilon`, optional): - prediction type of the scheduler function, one of `epsilon` (predicting the noise of the diffusion - process), `sample` (directly predicting the noisy sample`) or `v_prediction` (see section 2.4 - https://imagen.research.google/video/paper.pdf) - thresholding (`bool`, default `False`): - whether to use the "dynamic thresholding" method (introduced by Imagen, https://arxiv.org/abs/2205.11487). - For pixel-space diffusion models, you can set both `predict_x0=True` and `thresholding=True` to use the - dynamic thresholding. Note that the thresholding method is unsuitable for latent-space diffusion models - (such as stable-diffusion). - dynamic_thresholding_ratio (`float`, default `0.995`): - the ratio for the dynamic thresholding method. Default is `0.995`, the same as Imagen - (https://arxiv.org/abs/2205.11487). - sample_max_value (`float`, default `1.0`): - the threshold value for dynamic thresholding. Valid only when `thresholding=True` and `predict_x0=True`. - predict_x0 (`bool`, default `True`): - whether to use the updating algrithm on the predicted x0. See https://arxiv.org/abs/2211.01095 for details - solver_type (`str`, default `bh2`): - the solver type of UniPC. We recommend use `bh1` for unconditional sampling when steps < 10, and use `bh2` - otherwise. - lower_order_final (`bool`, default `True`): - whether to use lower-order solvers in the final steps. Only valid for < 15 inference steps. We empirically - find this trick can stabilize the sampling of DPM-Solver for steps < 15, especially for steps <= 10. - disable_corrector (`list`, default `[]`): - decide which step to disable the corrector. For large guidance scale, the misalignment between the - `epsilon_theta(x_t, c)`and `epsilon_theta(x_t^c, c)` might influence the convergence. This can be mitigated - by disable the corrector at the first few steps (e.g., disable_corrector=[0]) - solver_p (`SchedulerMixin`, default `None`): - can be any other scheduler. If specified, the algorithm will become solver_p + UniC. - """ - - _compatibles = [e.name for e in KarrasDiffusionSchedulers] - order = 1 - - @register_to_config - def __init__( - self, - num_train_timesteps: int = 1000, - beta_start: float = 0.0001, - beta_end: float = 0.02, - beta_schedule: str = "linear", - trained_betas: Optional[Union[np.ndarray, List[float]]] = None, - solver_order: int = 2, - prediction_type: str = "epsilon", - thresholding: bool = False, - dynamic_thresholding_ratio: float = 0.995, - sample_max_value: float = 1.0, - predict_x0: bool = True, - solver_type: str = "bh2", - lower_order_final: bool = True, - disable_corrector: List[int] = [], - solver_p: SchedulerMixin = None, - ): - if trained_betas is not None: - self.betas = torch.tensor(trained_betas, dtype=torch.float32) - elif beta_schedule == "linear": - self.betas = torch.linspace(beta_start, beta_end, num_train_timesteps, dtype=torch.float32) - elif beta_schedule == "scaled_linear": - # this schedule is very specific to the latent diffusion model. - self.betas = ( - torch.linspace(beta_start**0.5, beta_end**0.5, num_train_timesteps, dtype=torch.float32) ** 2 - ) - elif beta_schedule == "squaredcos_cap_v2": - # Glide cosine schedule - self.betas = betas_for_alpha_bar(num_train_timesteps) - else: - raise NotImplementedError(f"{beta_schedule} does is not implemented for {self.__class__}") - - self.alphas = 1.0 - self.betas - self.alphas_cumprod = torch.cumprod(self.alphas, dim=0) - # Currently we only support VP-type noise schedule - self.alpha_t = torch.sqrt(self.alphas_cumprod) - self.sigma_t = torch.sqrt(1 - self.alphas_cumprod) - self.lambda_t = torch.log(self.alpha_t) - torch.log(self.sigma_t) - - # standard deviation of the initial noise distribution - self.init_noise_sigma = 1.0 - - if solver_type not in ["bh1", "bh2"]: - if solver_type in ["midpoint", "heun", "logrho"]: - self.register_to_config(solver_type="bh1") - else: - raise NotImplementedError(f"{solver_type} does is not implemented for {self.__class__}") - - self.predict_x0 = predict_x0 - # setable values - self.num_inference_steps = None - timesteps = np.linspace(0, num_train_timesteps - 1, num_train_timesteps, dtype=np.float32)[::-1].copy() - self.timesteps = torch.from_numpy(timesteps) - self.model_outputs = [None] * solver_order - self.timestep_list = [None] * solver_order - self.lower_order_nums = 0 - self.disable_corrector = disable_corrector - self.solver_p = solver_p - self.last_sample = None - - def set_timesteps(self, num_inference_steps: int, device: Union[str, torch.device] = None): - """ - Sets the timesteps used for the diffusion chain. Supporting function to be run before inference. - - Args: - num_inference_steps (`int`): - the number of diffusion steps used when generating samples with a pre-trained model. - device (`str` or `torch.device`, optional): - the device to which the timesteps should be moved to. If `None`, the timesteps are not moved. - """ - self.num_inference_steps = num_inference_steps - timesteps = ( - np.linspace(0, self.num_train_timesteps - 1, num_inference_steps + 1) - .round()[::-1][:-1] - .copy() - .astype(np.int64) - ) - self.timesteps = torch.from_numpy(timesteps).to(device) - self.model_outputs = [ - None, - ] * self.config.solver_order - self.lower_order_nums = 0 - self.last_sample = None - if self.solver_p: - self.solver_p.set_timesteps(num_inference_steps, device=device) - - # Copied from diffusers.schedulers.scheduling_ddpm.DDPMScheduler._threshold_sample - def _threshold_sample(self, sample: torch.FloatTensor) -> torch.FloatTensor: - # Dynamic thresholding in https://arxiv.org/abs/2205.11487 - dynamic_max_val = ( - sample.flatten(1) - .abs() - .quantile(self.config.dynamic_thresholding_ratio, dim=1) - .clamp_min(self.config.sample_max_value) - .view(-1, *([1] * (sample.ndim - 1))) - ) - return sample.clamp(-dynamic_max_val, dynamic_max_val) / dynamic_max_val - - def convert_model_output( - self, model_output: torch.FloatTensor, timestep: int, sample: torch.FloatTensor - ) -> torch.FloatTensor: - r""" - Convert the model output to the corresponding type that the algorithm PC needs. - - Args: - model_output (`torch.FloatTensor`): direct output from learned diffusion model. - timestep (`int`): current discrete timestep in the diffusion chain. - sample (`torch.FloatTensor`): - current instance of sample being created by diffusion process. - - Returns: - `torch.FloatTensor`: the converted model output. - """ - if self.predict_x0: - if self.config.prediction_type == "epsilon": - alpha_t, sigma_t = self.alpha_t[timestep], self.sigma_t[timestep] - x0_pred = (sample - sigma_t * model_output) / alpha_t - elif self.config.prediction_type == "sample": - x0_pred = model_output - elif self.config.prediction_type == "v_prediction": - alpha_t, sigma_t = self.alpha_t[timestep], self.sigma_t[timestep] - x0_pred = alpha_t * sample - sigma_t * model_output - else: - raise ValueError( - f"prediction_type given as {self.config.prediction_type} must be one of `epsilon`, `sample`, or" - " `v_prediction` for the UniPCMultistepScheduler." - ) - - if self.config.thresholding: - # Dynamic thresholding in https://arxiv.org/abs/2205.11487 - orig_dtype = x0_pred.dtype - if orig_dtype not in [torch.float, torch.double]: - x0_pred = x0_pred.float() - x0_pred = self._threshold_sample(x0_pred).type(orig_dtype) - return x0_pred - else: - if self.config.prediction_type == "epsilon": - return model_output - elif self.config.prediction_type == "sample": - alpha_t, sigma_t = self.alpha_t[timestep], self.sigma_t[timestep] - epsilon = (sample - alpha_t * model_output) / sigma_t - return epsilon - elif self.config.prediction_type == "v_prediction": - alpha_t, sigma_t = self.alpha_t[timestep], self.sigma_t[timestep] - epsilon = alpha_t * model_output + sigma_t * sample - return epsilon - else: - raise ValueError( - f"prediction_type given as {self.config.prediction_type} must be one of `epsilon`, `sample`, or" - " `v_prediction` for the UniPCMultistepScheduler." - ) - - def multistep_uni_p_bh_update( - self, - model_output: torch.FloatTensor, - prev_timestep: int, - sample: torch.FloatTensor, - order: int, - ) -> torch.FloatTensor: - """ - One step for the UniP (B(h) version). Alternatively, `self.solver_p` is used if is specified. - - Args: - model_output (`torch.FloatTensor`): - direct outputs from learned diffusion model at the current timestep. - prev_timestep (`int`): previous discrete timestep in the diffusion chain. - sample (`torch.FloatTensor`): - current instance of sample being created by diffusion process. - order (`int`): the order of UniP at this step, also the p in UniPC-p. - - Returns: - `torch.FloatTensor`: the sample tensor at the previous timestep. - """ - timestep_list = self.timestep_list - model_output_list = self.model_outputs - - s0, t = self.timestep_list[-1], prev_timestep - m0 = model_output_list[-1] - x = sample - - if self.solver_p: - x_t = self.solver_p.step(model_output, s0, x).prev_sample - return x_t - - lambda_t, lambda_s0 = self.lambda_t[t], self.lambda_t[s0] - alpha_t, alpha_s0 = self.alpha_t[t], self.alpha_t[s0] - sigma_t, sigma_s0 = self.sigma_t[t], self.sigma_t[s0] - - h = lambda_t - lambda_s0 - device = sample.device - - rks = [] - D1s = [] - for i in range(1, order): - si = timestep_list[-(i + 1)] - mi = model_output_list[-(i + 1)] - lambda_si = self.lambda_t[si] - rk = (lambda_si - lambda_s0) / h - rks.append(rk) - D1s.append((mi - m0) / rk) - - rks.append(1.0) - rks = torch.tensor(rks, device=device) - - R = [] - b = [] - - hh = -h if self.predict_x0 else h - h_phi_1 = torch.expm1(hh) # h\phi_1(h) = e^h - 1 - h_phi_k = h_phi_1 / hh - 1 - - factorial_i = 1 - - if self.config.solver_type == "bh1": - B_h = hh - elif self.config.solver_type == "bh2": - B_h = torch.expm1(hh) - else: - raise NotImplementedError() - - for i in range(1, order + 1): - R.append(torch.pow(rks, i - 1)) - b.append(h_phi_k * factorial_i / B_h) - factorial_i *= i + 1 - h_phi_k = h_phi_k / hh - 1 / factorial_i - - R = torch.stack(R) - b = torch.tensor(b, device=device) - - if len(D1s) > 0: - D1s = torch.stack(D1s, dim=1) # (B, K) - # for order 2, we use a simplified version - if order == 2: - rhos_p = torch.tensor([0.5], dtype=x.dtype, device=device) - else: - rhos_p = torch.linalg.solve(R[:-1, :-1], b[:-1]) - else: - D1s = None - - if self.predict_x0: - x_t_ = sigma_t / sigma_s0 * x - alpha_t * h_phi_1 * m0 - if D1s is not None: - pred_res = torch.einsum("k,bkchw->bchw", rhos_p, D1s) - else: - pred_res = 0 - x_t = x_t_ - alpha_t * B_h * pred_res - else: - x_t_ = alpha_t / alpha_s0 * x - sigma_t * h_phi_1 * m0 - if D1s is not None: - pred_res = torch.einsum("k,bkchw->bchw", rhos_p, D1s) - else: - pred_res = 0 - x_t = x_t_ - sigma_t * B_h * pred_res - - x_t = x_t.to(x.dtype) - return x_t - - def multistep_uni_c_bh_update( - self, - this_model_output: torch.FloatTensor, - this_timestep: int, - last_sample: torch.FloatTensor, - this_sample: torch.FloatTensor, - order: int, - ) -> torch.FloatTensor: - """ - One step for the UniC (B(h) version). - - Args: - this_model_output (`torch.FloatTensor`): the model outputs at `x_t` - this_timestep (`int`): the current timestep `t` - last_sample (`torch.FloatTensor`): the generated sample before the last predictor: `x_{t-1}` - this_sample (`torch.FloatTensor`): the generated sample after the last predictor: `x_{t}` - order (`int`): the `p` of UniC-p at this step. Note that the effective order of accuracy - should be order + 1 - - Returns: - `torch.FloatTensor`: the corrected sample tensor at the current timestep. - """ - timestep_list = self.timestep_list - model_output_list = self.model_outputs - - s0, t = timestep_list[-1], this_timestep - m0 = model_output_list[-1] - x = last_sample - x_t = this_sample - model_t = this_model_output - - lambda_t, lambda_s0 = self.lambda_t[t], self.lambda_t[s0] - alpha_t, alpha_s0 = self.alpha_t[t], self.alpha_t[s0] - sigma_t, sigma_s0 = self.sigma_t[t], self.sigma_t[s0] - - h = lambda_t - lambda_s0 - device = this_sample.device - - rks = [] - D1s = [] - for i in range(1, order): - si = timestep_list[-(i + 1)] - mi = model_output_list[-(i + 1)] - lambda_si = self.lambda_t[si] - rk = (lambda_si - lambda_s0) / h - rks.append(rk) - D1s.append((mi - m0) / rk) - - rks.append(1.0) - rks = torch.tensor(rks, device=device) - - R = [] - b = [] - - hh = -h if self.predict_x0 else h - h_phi_1 = torch.expm1(hh) # h\phi_1(h) = e^h - 1 - h_phi_k = h_phi_1 / hh - 1 - - factorial_i = 1 - - if self.config.solver_type == "bh1": - B_h = hh - elif self.config.solver_type == "bh2": - B_h = torch.expm1(hh) - else: - raise NotImplementedError() - - for i in range(1, order + 1): - R.append(torch.pow(rks, i - 1)) - b.append(h_phi_k * factorial_i / B_h) - factorial_i *= i + 1 - h_phi_k = h_phi_k / hh - 1 / factorial_i - - R = torch.stack(R) - b = torch.tensor(b, device=device) - - if len(D1s) > 0: - D1s = torch.stack(D1s, dim=1) - else: - D1s = None - - # for order 1, we use a simplified version - if order == 1: - rhos_c = torch.tensor([0.5], dtype=x.dtype, device=device) - else: - rhos_c = torch.linalg.solve(R, b) - - if self.predict_x0: - x_t_ = sigma_t / sigma_s0 * x - alpha_t * h_phi_1 * m0 - if D1s is not None: - corr_res = torch.einsum("k,bkchw->bchw", rhos_c[:-1], D1s) - else: - corr_res = 0 - D1_t = model_t - m0 - x_t = x_t_ - alpha_t * B_h * (corr_res + rhos_c[-1] * D1_t) - else: - x_t_ = alpha_t / alpha_s0 * x - sigma_t * h_phi_1 * m0 - if D1s is not None: - corr_res = torch.einsum("k,bkchw->bchw", rhos_c[:-1], D1s) - else: - corr_res = 0 - D1_t = model_t - m0 - x_t = x_t_ - sigma_t * B_h * (corr_res + rhos_c[-1] * D1_t) - x_t = x_t.to(x.dtype) - return x_t - - def step( - self, - model_output: torch.FloatTensor, - timestep: int, - sample: torch.FloatTensor, - return_dict: bool = True, - ) -> Union[SchedulerOutput, Tuple]: - """ - Step function propagating the sample with the multistep UniPC. - - Args: - model_output (`torch.FloatTensor`): direct output from learned diffusion model. - timestep (`int`): current discrete timestep in the diffusion chain. - sample (`torch.FloatTensor`): - current instance of sample being created by diffusion process. - return_dict (`bool`): option for returning tuple rather than SchedulerOutput class - - Returns: - [`~scheduling_utils.SchedulerOutput`] or `tuple`: [`~scheduling_utils.SchedulerOutput`] if `return_dict` is - True, otherwise a `tuple`. When returning a tuple, the first element is the sample tensor. - - """ - - if self.num_inference_steps is None: - raise ValueError( - "Number of inference steps is 'None', you need to run 'set_timesteps' after creating the scheduler" - ) - - if isinstance(timestep, torch.Tensor): - timestep = timestep.to(self.timesteps.device) - step_index = (self.timesteps == timestep).nonzero() - if len(step_index) == 0: - step_index = len(self.timesteps) - 1 - else: - step_index = step_index.item() - - use_corrector = ( - step_index > 0 and step_index - 1 not in self.disable_corrector and self.last_sample is not None - ) - - model_output_convert = self.convert_model_output(model_output, timestep, sample) - if use_corrector: - sample = self.multistep_uni_c_bh_update( - this_model_output=model_output_convert, - this_timestep=timestep, - last_sample=self.last_sample, - this_sample=sample, - order=self.this_order, - ) - - # now prepare to run the predictor - prev_timestep = 0 if step_index == len(self.timesteps) - 1 else self.timesteps[step_index + 1] - - for i in range(self.config.solver_order - 1): - self.model_outputs[i] = self.model_outputs[i + 1] - self.timestep_list[i] = self.timestep_list[i + 1] - - self.model_outputs[-1] = model_output_convert - self.timestep_list[-1] = timestep - - if self.config.lower_order_final: - this_order = min(self.config.solver_order, len(self.timesteps) - step_index) - else: - this_order = self.config.solver_order - - self.this_order = min(this_order, self.lower_order_nums + 1) # warmup for multistep - assert self.this_order > 0 - - self.last_sample = sample - prev_sample = self.multistep_uni_p_bh_update( - model_output=model_output, # pass the original non-converted model output, in case solver-p is used - prev_timestep=prev_timestep, - sample=sample, - order=self.this_order, - ) - - if self.lower_order_nums < self.config.solver_order: - self.lower_order_nums += 1 - - if not return_dict: - return (prev_sample,) - - return SchedulerOutput(prev_sample=prev_sample) - - def scale_model_input(self, sample: torch.FloatTensor, *args, **kwargs) -> torch.FloatTensor: - """ - Ensures interchangeability with schedulers that need to scale the denoising model input depending on the - current timestep. - - Args: - sample (`torch.FloatTensor`): input sample - - Returns: - `torch.FloatTensor`: scaled input sample - """ - return sample - - def add_noise( - self, - original_samples: torch.FloatTensor, - noise: torch.FloatTensor, - timesteps: torch.IntTensor, - ) -> torch.FloatTensor: - # Make sure alphas_cumprod and timestep have same device and dtype as original_samples - self.alphas_cumprod = self.alphas_cumprod.to(device=original_samples.device, dtype=original_samples.dtype) - timesteps = timesteps.to(original_samples.device) - - sqrt_alpha_prod = self.alphas_cumprod[timesteps] ** 0.5 - sqrt_alpha_prod = sqrt_alpha_prod.flatten() - while len(sqrt_alpha_prod.shape) < len(original_samples.shape): - sqrt_alpha_prod = sqrt_alpha_prod.unsqueeze(-1) - - sqrt_one_minus_alpha_prod = (1 - self.alphas_cumprod[timesteps]) ** 0.5 - sqrt_one_minus_alpha_prod = sqrt_one_minus_alpha_prod.flatten() - while len(sqrt_one_minus_alpha_prod.shape) < len(original_samples.shape): - sqrt_one_minus_alpha_prod = sqrt_one_minus_alpha_prod.unsqueeze(-1) - - noisy_samples = sqrt_alpha_prod * original_samples + sqrt_one_minus_alpha_prod * noise - return noisy_samples - - def __len__(self): - return self.config.num_train_timesteps diff --git a/spaces/declare-lab/tango/diffusers/src/diffusers/utils/deprecation_utils.py b/spaces/declare-lab/tango/diffusers/src/diffusers/utils/deprecation_utils.py deleted file mode 100644 index 6bdda664e102ea9913503b9e169fa97225d52c78..0000000000000000000000000000000000000000 --- a/spaces/declare-lab/tango/diffusers/src/diffusers/utils/deprecation_utils.py +++ /dev/null @@ -1,49 +0,0 @@ -import inspect -import warnings -from typing import Any, Dict, Optional, Union - -from packaging import version - - -def deprecate(*args, take_from: Optional[Union[Dict, Any]] = None, standard_warn=True): - from .. import __version__ - - deprecated_kwargs = take_from - values = () - if not isinstance(args[0], tuple): - args = (args,) - - for attribute, version_name, message in args: - if version.parse(version.parse(__version__).base_version) >= version.parse(version_name): - raise ValueError( - f"The deprecation tuple {(attribute, version_name, message)} should be removed since diffusers'" - f" version {__version__} is >= {version_name}" - ) - - warning = None - if isinstance(deprecated_kwargs, dict) and attribute in deprecated_kwargs: - values += (deprecated_kwargs.pop(attribute),) - warning = f"The `{attribute}` argument is deprecated and will be removed in version {version_name}." - elif hasattr(deprecated_kwargs, attribute): - values += (getattr(deprecated_kwargs, attribute),) - warning = f"The `{attribute}` attribute is deprecated and will be removed in version {version_name}." - elif deprecated_kwargs is None: - warning = f"`{attribute}` is deprecated and will be removed in version {version_name}." - - if warning is not None: - warning = warning + " " if standard_warn else "" - warnings.warn(warning + message, FutureWarning, stacklevel=2) - - if isinstance(deprecated_kwargs, dict) and len(deprecated_kwargs) > 0: - call_frame = inspect.getouterframes(inspect.currentframe())[1] - filename = call_frame.filename - line_number = call_frame.lineno - function = call_frame.function - key, value = next(iter(deprecated_kwargs.items())) - raise TypeError(f"{function} in {filename} line {line_number-1} got an unexpected keyword argument `{key}`") - - if len(values) == 0: - return - elif len(values) == 1: - return values[0] - return values diff --git a/spaces/declare-lab/tango/diffusers/tests/schedulers/__init__.py b/spaces/declare-lab/tango/diffusers/tests/schedulers/__init__.py deleted file mode 100644 index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000 diff --git a/spaces/deppfellow/steam-recsys/app.py b/spaces/deppfellow/steam-recsys/app.py deleted file mode 100644 index 72a7daee1592041ca17f70e28c6b5a3f7920ea3a..0000000000000000000000000000000000000000 --- a/spaces/deppfellow/steam-recsys/app.py +++ /dev/null @@ -1,180 +0,0 @@ -import streamlit as st -from streamlit_option_menu import option_menu -from func import * -from easeBased_model import * -from contentBased_model import * - - -if "user_preferences" not in st.session_state: - st.session_state["user_preferences"] = {} - -data = pd.read_pickle("data/list_of_all_titles.pkl") -ease_ids = list( - pd.read_pickle("data/dict_of_ease_ids.pkl").keys()) - - -def games_recomm(preferences_id): - if "rs" in st.session_state: - del st.session_state["rs"] - - with st.spinner("Getting recommendation..."): - pref_value = [] - for id in preferences_id: - if st.session_state[id] == "Positive": - pref_value.append(1) - elif st.session_state[id] == "Negative": - pref_value.append(0) - - pred_df = pd.DataFrame({ - 'user_id': [999999] * len(preferences_id), - 'app_id': preferences_id, - 'is_recommended': pref_value - }) - ease_df = pred_df[pred_df['app_id'].isin(ease_ids)] - - if ease_df.empty: - try: - res = cbf_model(pred_df=pred_df, k=10)['app_id'].tolist() - except: - st.error("Recommendation failed. Please select with at least 2 games title.") - res = None - else: - res_cbf = cbf_model(pred_df=pred_df, k=100) - res_ease = ease_model(pred_df=ease_df, k=100) - res = combine_hybrid_result(res_ease, res_cbf) - - if type(res) == [ValueError, None]: - st.error("Recommendation failed. Please select with at least 2 games title.") - - return - else: - st.session_state['rs'] = res - - try: - if len(st.session_state['rs']) >= 1: - st.success(f"Go to result page to view top {len(st.session_state['rs'])} recommendations.") - else: - st.error("Recommendation failed. Please reload the session.") - except: - st.error("There is some error in recommendation process. Please restart the session.") - - # st.write(res) - -# Main Page Header -# Consist of Home page, Result page, About page, and Log page -def spr_sidebar(): - menu = option_menu( - menu_title=None, - options=['Home', 'Result', 'About'], - icons=['house', 'joystick', 'info-square'], - menu_icon='cast', - default_index=0, - orientation='horizontal' - ) - - # Change 'app_mode' state based on current page - if menu == 'Home': - st.session_state['app_mode'] = 'Home' - elif menu == 'Result': - st.session_state['app_mode'] = 'Result' - elif menu == 'About': - st.session_state['app_mode'] = 'About' - -# Home page. One of the page in Main Header -def home_page(): - st.title("Steam Recommendation System") - with st.expander("Aturan input & panduan sistem"): - st.markdown(""" - Mohon untuk memasukkan input yang valid, yaitu: - - - Minimal 2 judul game yang dimasukkan sebagai input sistem - - Preferensi penilaian game yang dimasukkan harus memiliki setidaknya 1 rating positif - -
- Untuk mendapatkan hasil rekomendasi, berikut langkah untuk berinteraksi dengan sistem: - - 1. Tekan input dropdown dibawah - 2. Ketikkan judul game yang anda ketahui dan atur penilaian dari game yang bersangkutan - 3. Tekan "Get recommendation" untuk mendapatkan hasil rekomendasi - 4. Pindah ke tab "Result" untuk melihat judul game yang direkomendasikan - """, unsafe_allow_html=True) - st.markdown("
", unsafe_allow_html=True) - st.image("data/systemGuide.png") - - st.markdown("
", unsafe_allow_html=True) - - if "user_preferences" in st.session_state: - ids_list = ids_to_titles(st.session_state["user_preferences"]) - preferences = st.multiselect( - label="Input games you like:", - options=list(data), - default=ids_list, - key="user_titles") - user_input = generate_app_gamebox(preferences) - else: - preferences = st.multiselect( - label="Input games you like:", - options=list(data), - key="user_titles") - user_input = generate_app_gamebox(preferences) - - state = st.button("Get recommendation") - - if state: - st.session_state["user_preferences"] = user_input - - st.markdown("---") - games_recomm(st.session_state["user_preferences"]) - -# Result page -# Show the list of predictions for active user -def result_page(): - if "rs" not in st.session_state: - st.error('Please input preferences titles and run "Get recommendation"') - else: - st.success(f'Top {len(st.session_state["rs"])}') - - user_res = generate_res_gamebox(ids=st.session_state['rs']) - -# About page -# Show the information of the project and the sites - - -def about_page(): - st.header("Development") - """ - Cek [repositori](https://huggingface.co/spaces/deppfellow/steam-recsys/tree/main) untuk informasi, source code, dan metode yang digunakan. Jangan ragu Jika anda memiliki pertanyaan, terbuka melalui media sosial di bawah: - - Discord: deppfellow - - Email : raid.rafif@mail.ugm.ac.id - """ - - st.subheader("Dataset") - """ - Untuk proyek ini, saya menggunakan data [*Game Recommendations on Steam*](https://www.kaggle.com/datasets/antonkozyriev/game-recommendations-on-steam), yang disediakan oleh Anton Kozyriev. Data yang digunakan dalam penelitian ini adalah informasi data per tanggal 6 Juni 2023. Berisi informasi pengguna yang dianonimkan, informasi game, serta interaksi antara pengguna dan item. - """ - - st.subheader("Algoritma") - """ - [*Embarrassingly Shallow Autoencoder for Sparse Data*](https://arxiv.org/abs/1905.03375) atau EASE menjadi algoritma utama yang digunakan pada sistem rekomendasi ini. Dikembangkan oleh Harald Steck, algoritma EASE merupakan model linear yang memanfaatkan karakteristik *sparsity* dengan arsitektur menyerupai *autoencoder*, tetapi tanpa *hidden layer*. Meskipun kesederhanaan dari model linear, EASE menunjukkan performa yang baik pada data terbuka dengan: - - Peringkat ke-6 pada data [*MovieLens-20M*](https://paperswithcode.com/dataset/movielens) - - Peringkat ke-3 pada [*Netflix dataset*](https://paperswithcode.com/dataset/netflix-prize) - - *State-of-the-art* pada [*Million Song Dataset*](https://paperswithcode.com/dataset/msd) - - Pada sistem rekomendasi ini, algoritma EASE digabungkan secara *hybrid* dengan algoritma *content-based filtering*. - """ - - -def main(): - spr_sidebar() - # st.session_state - - if st.session_state['app_mode'] == 'Home': - home_page() - elif st.session_state['app_mode'] == 'Result': - result_page() - elif st.session_state['app_mode'] == 'About': - about_page() - - -if __name__ == '__main__': - main() diff --git a/spaces/diacanFperku/AutoGPT/Carcassonne - Collection Bundle Download For Pc [FULL] [NEW].md b/spaces/diacanFperku/AutoGPT/Carcassonne - Collection Bundle Download For Pc [FULL] [NEW].md deleted file mode 100644 index 8f129f18d7f9e61bed666da08420ed1409b4c5ec..0000000000000000000000000000000000000000 --- a/spaces/diacanFperku/AutoGPT/Carcassonne - Collection Bundle Download For Pc [FULL] [NEW].md +++ /dev/null @@ -1,42 +0,0 @@ -

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diff --git a/spaces/diaoren/OpenSetObstacleDetection/opendet2/data/build.py b/spaces/diaoren/OpenSetObstacleDetection/opendet2/data/build.py deleted file mode 100644 index a88cf66219528c0473d20ea58047f1a47952c385..0000000000000000000000000000000000000000 --- a/spaces/diaoren/OpenSetObstacleDetection/opendet2/data/build.py +++ /dev/null @@ -1,319 +0,0 @@ -# Copyright (c) Facebook, Inc. and its affiliates. -import itertools -import logging -import numpy as np -import copy -import torch.utils.data -import torch - -from detectron2.config import configurable -from detectron2.utils.logger import _log_api_usage - -from detectron2.data.catalog import DatasetCatalog, MetadataCatalog -from detectron2.data.common import DatasetFromList, MapDataset -from detectron2.data.dataset_mapper import DatasetMapper -from detectron2.data.detection_utils import check_metadata_consistency -from detectron2.data.samplers import InferenceSampler, RepeatFactorTrainingSampler, TrainingSampler - -from detectron2.data.build import trivial_batch_collator -from detectron2.data import (build_batch_data_loader, - print_instances_class_histogram, - load_proposals_into_dataset) -from detectron2.data.build import (filter_images_with_few_keypoints, - filter_images_with_only_crowd_annotations) - -""" -This file contains the default logic to build a dataloader for training or testing. -""" -__all__ = [ - "build_detection_train_loader", - "build_detection_test_loader", - "get_detection_dataset_dicts", -] - - -def get_detection_dataset_dicts(names, filter_empty=True, min_keypoints=0, proposal_files=None, cfg=None): - """ - Load and prepare dataset dicts for instance detection/segmentation and semantic segmentation. - - Args: - names (str or list[str]): a dataset name or a list of dataset names - filter_empty (bool): whether to filter out images without instance annotations - min_keypoints (int): filter out images with fewer keypoints than - `min_keypoints`. Set to 0 to do nothing. - proposal_files (list[str]): if given, a list of object proposal files - that match each dataset in `names`. - - Returns: - list[dict]: a list of dicts following the standard dataset dict format. - """ - if isinstance(names, str): - names = [names] - assert len(names), names - # 根据数据集名获取对应的数据集{list:数据集数量} - dataset_dicts = [DatasetCatalog.get(dataset_name) - for dataset_name in names] - for dataset_name, dicts in zip(names, dataset_dicts): - assert len(dicts), "Dataset '{}' is empty!".format(dataset_name) - - if proposal_files is not None: - assert len(names) == len(proposal_files) - # load precomputed proposals from proposal files - dataset_dicts = [ - load_proposals_into_dataset(dataset_i_dicts, proposal_file) - for dataset_i_dicts, proposal_file in zip(dataset_dicts, proposal_files) - ] - # 合并为一个list - dataset_dicts = list(itertools.chain.from_iterable(dataset_dicts)) - - has_instances = "annotations" in dataset_dicts[0] - if filter_empty and has_instances: - # 除去一些只有crowd注释的图片 - dataset_dicts = filter_images_with_only_crowd_annotations( - dataset_dicts) - if min_keypoints > 0 and has_instances: - dataset_dicts = filter_images_with_few_keypoints( - dataset_dicts, min_keypoints) - - d_name = names[0] - # if 'voc_coco' in d_name: - if 'train' in d_name: - # 若是训练则除去未知类别实例 - dataset_dicts = remove_unk_instances(cfg, dataset_dicts) - elif 'test' in d_name: - # 若是测试 - dataset_dicts = label_known_class_and_unknown(cfg, dataset_dicts) - - if has_instances: - try: - # 打印数据集中所有类别实例的情况 - class_names = MetadataCatalog.get(names[0]).thing_classes - check_metadata_consistency("thing_classes", names) - print_instances_class_histogram(dataset_dicts, class_names) - except AttributeError: # class names are not available for this dataset - pass - - assert len(dataset_dicts), "No valid data found in {}.".format( - ",".join(names)) - return dataset_dicts - -# 除去训练集中的未知类实例(>=20) -def remove_unk_instances(cfg, dataset_dicts): - num_known_classes = cfg.MODEL.ROI_HEADS.NUM_KNOWN_CLASSES#20 - valid_classes = range(0, num_known_classes) - - logger = logging.getLogger(__name__) - logger.info("Valid classes: " + str(valid_classes)) - logger.info("Removing unknown objects...") - - for entry in copy.copy(dataset_dicts): - annos = entry["annotations"] - for annotation in copy.copy(annos): - if annotation["category_id"] not in valid_classes: - annos.remove(annotation) - if len(annos) == 0: - dataset_dicts.remove(entry) - - return dataset_dicts - -# 将数据集中的未知实例(>=20)类别idx设置为80 -def label_known_class_and_unknown(cfg, dataset_dicts): - num_known_classes = cfg.MODEL.ROI_HEADS.NUM_KNOWN_CLASSES#20 - total_num_class = cfg.MODEL.ROI_HEADS.NUM_CLASSES#81 - - if cfg.MODEL.META_ARCHITECTURE == "OpenSetRetinaNet": - num_known_classes = cfg.MODEL.RETINANET.NUM_KNOWN_CLASSES - total_num_class = cfg.MODEL.RETINANET.NUM_CLASSES - - known_classes = range(0, num_known_classes)#(0,20) - - logger = logging.getLogger(__name__) - logger.info("Known classes: " + str(known_classes)) - logger.info( - "Labelling known instances the corresponding label, and unknown instances as unknown...") - - for entry in dataset_dicts: - annos = entry["annotations"] - for annotation in annos: - if annotation["category_id"] not in known_classes: - if cfg.EDLLOSS.HAS_EDL: - annotation["category_id"] = total_num_class - else: - annotation["category_id"] = total_num_class - 1 - - return dataset_dicts - - -def _train_loader_from_config(cfg, mapper=None, *, dataset=None, sampler=None): - if dataset is None: - dataset = get_detection_dataset_dicts( - cfg.DATASETS.TRAIN, - filter_empty=cfg.DATALOADER.FILTER_EMPTY_ANNOTATIONS, - min_keypoints=cfg.MODEL.ROI_KEYPOINT_HEAD.MIN_KEYPOINTS_PER_IMAGE - if cfg.MODEL.KEYPOINT_ON - else 0, - proposal_files=cfg.DATASETS.PROPOSAL_FILES_TRAIN if cfg.MODEL.LOAD_PROPOSALS else None, - cfg=cfg - ) - _log_api_usage("dataset." + cfg.DATASETS.TRAIN[0]) - - if mapper is None: - mapper = DatasetMapper(cfg, True) - else: - mapper = mapper(cfg, True) - - if sampler is None: - sampler_name = cfg.DATALOADER.SAMPLER_TRAIN - logger = logging.getLogger(__name__) - logger.info("Using training sampler {}".format(sampler_name)) - if sampler_name == "TrainingSampler": - sampler = TrainingSampler(len(dataset)) - elif sampler_name == "RepeatFactorTrainingSampler": - repeat_factors = RepeatFactorTrainingSampler.repeat_factors_from_category_frequency( - dataset, cfg.DATALOADER.REPEAT_THRESHOLD - ) - sampler = RepeatFactorTrainingSampler(repeat_factors) - else: - raise ValueError( - "Unknown training sampler: {}".format(sampler_name)) - - return { - "dataset": dataset, - "sampler": sampler, - "mapper": mapper, - "total_batch_size": cfg.SOLVER.IMS_PER_BATCH, - "aspect_ratio_grouping": cfg.DATALOADER.ASPECT_RATIO_GROUPING, - "num_workers": cfg.DATALOADER.NUM_WORKERS, - } - - -# TODO can allow dataset as an iterable or IterableDataset to make this function more general -@configurable(from_config=_train_loader_from_config) -def build_detection_train_loader( - dataset, *, mapper, sampler=None, total_batch_size, aspect_ratio_grouping=True, num_workers=0 -): - """ - Build a dataloader for object detection with some default features. - This interface is experimental. - - Args: - dataset (list or torch.utils.data.Dataset): a list of dataset dicts, - or a map-style pytorch dataset. They can be obtained by using - :func:`DatasetCatalog.get` or :func:`get_detection_dataset_dicts`. - mapper (callable): a callable which takes a sample (dict) from dataset and - returns the format to be consumed by the model. - When using cfg, the default choice is ``DatasetMapper(cfg, is_train=True)``. - sampler (torch.utils.data.sampler.Sampler or None): a sampler that produces - indices to be applied on ``dataset``. Default to :class:`TrainingSampler`, - which coordinates an infinite random shuffle sequence across all workers. - total_batch_size (int): total batch size across all workers. Batching - simply puts data into a list. - aspect_ratio_grouping (bool): whether to group images with similar - aspect ratio for efficiency. When enabled, it requires each - element in dataset be a dict with keys "width" and "height". - num_workers (int): number of parallel data loading workers - - Returns: - torch.utils.data.DataLoader: - a dataloader. Each output from it is a ``list[mapped_element]`` of length - ``total_batch_size / num_workers``, where ``mapped_element`` is produced - by the ``mapper``. - """ - if isinstance(dataset, list): - # 转化为DatasetFromList类型 - dataset = DatasetFromList(dataset, copy=False) - if mapper is not None: - # 合并dataset和mapper,生成最终Dataset - dataset = MapDataset(dataset, mapper) - if sampler is None: - sampler = TrainingSampler(len(dataset)) - assert isinstance(sampler, torch.utils.data.sampler.Sampler) - return build_batch_data_loader( - dataset, - sampler, - total_batch_size, - aspect_ratio_grouping=aspect_ratio_grouping, - num_workers=num_workers, - ) - - -def _test_loader_from_config(cfg, dataset_name, mapper=None): - """ - Uses the given `dataset_name` argument (instead of the names in cfg), because the - standard practice is to evaluate each test set individually (not combining them). - """ - if isinstance(dataset_name, str): - dataset_name = [dataset_name] - - # 建立datasets,只有每张图片的id、位置、宽、高和标注信息 - dataset = get_detection_dataset_dicts( - dataset_name, - filter_empty=False, - proposal_files=[ - cfg.DATASETS.PROPOSAL_FILES_TEST[list( - cfg.DATASETS.TEST).index(dataset_name)] - ] - if cfg.MODEL.LOAD_PROPOSALS - else None, - cfg=cfg - ) - # 创建mapper,调用mapper可以对只有少部分信息的图片进行处理(__call__),返回最终data信息 - if mapper is None: - mapper = DatasetMapper(cfg, False) - return {"dataset": dataset, "mapper": mapper, "num_workers": cfg.DATALOADER.NUM_WORKERS} - - -@configurable(from_config=_test_loader_from_config) -def build_detection_test_loader(dataset, *, mapper, sampler=None, num_workers=0): - """ - Similar to `build_detection_train_loader`, but uses a batch size of 1, - and :class:`InferenceSampler`. This sampler coordinates all workers to - produce the exact set of all samples. - This interface is experimental. - - Args: - dataset (list or torch.utils.data.Dataset): a list of dataset dicts, - or a map-style pytorch dataset. They can be obtained by using - :func:`DatasetCatalog.get` or :func:`get_detection_dataset_dicts`. - mapper (callable): a callable which takes a sample (dict) from dataset - and returns the format to be consumed by the model. - When using cfg, the default choice is ``DatasetMapper(cfg, is_train=False)``. - sampler (torch.utils.data.sampler.Sampler or None): a sampler that produces - indices to be applied on ``dataset``. Default to :class:`InferenceSampler`, - which splits the dataset across all workers. - num_workers (int): number of parallel data loading workers - - Returns: - DataLoader: a torch DataLoader, that loads the given detection - dataset, with test-time transformation and batching. - - Examples: - :: - data_loader = build_detection_test_loader( - DatasetRegistry.get("my_test"), - mapper=DatasetMapper(...)) - - # or, instantiate with a CfgNode: - data_loader = build_detection_test_loader(cfg, "my_test") - """ - if isinstance(dataset, list): - # 数据集转化为DatesetFromList类型 - dataset = DatasetFromList(dataset, copy=False) - if mapper is not None: - # 合并dataset和mapper - dataset = MapDataset(dataset, mapper) - if sampler is None: - # 创建sampler - sampler = InferenceSampler(len(dataset)) - # Always use 1 image per worker during inference since this is the - # standard when reporting inference time in papers. - # 使用的batchsize=1 - batch_sampler = torch.utils.data.sampler.BatchSampler( - sampler, 1, drop_last=False) - data_loader = torch.utils.data.DataLoader( - dataset, - num_workers=num_workers, - batch_sampler=batch_sampler, - collate_fn=trivial_batch_collator, - ) - return data_loader diff --git a/spaces/diaoren/OpenSetObstacleDetection/opendet2/data/voc_coco.py b/spaces/diaoren/OpenSetObstacleDetection/opendet2/data/voc_coco.py deleted file mode 100644 index 94a062690054de54a2cfa2804d88380b99494656..0000000000000000000000000000000000000000 --- a/spaces/diaoren/OpenSetObstacleDetection/opendet2/data/voc_coco.py +++ /dev/null @@ -1,37 +0,0 @@ -from detectron2.data import DatasetCatalog, MetadataCatalog -from detectron2.data.datasets import load_voc_instances - -VOC_COCO_CATEGORIES = [ - # VOC - "aeroplane", "bicycle", "bird", "boat", "bottle", "bus", "car", "cat", - "chair", "cow", "diningtable", "dog", "horse", "motorbike", "person", - "pottedplant", "sheep", "sofa", "train", "tvmonitor", - # COCO-20-40 - "truck", "traffic light", "fire hydrant", "stop sign", "parking meter", - "bench", "elephant", "bear", "zebra", "giraffe", - "backpack", "umbrella", "handbag", "tie", "suitcase", - "microwave", "oven", "toaster", "sink", "refrigerator", - # COCO-40-60 - "frisbee", "skis", "snowboard", "sports ball", "kite", - "baseball bat", "baseball glove", "skateboard", "surfboard", "tennis racket", - "banana", "apple", "sandwich", "orange", "broccoli", - "carrot", "hot dog", "pizza", "donut", "cake", - # COCO-60-80 - "bed", "toilet", "laptop", "mouse", - "remote", "keyboard", "cell phone", "book", "clock", - "vase", "scissors", "teddy bear", "hair drier", "toothbrush", - "wine glass", "cup", "fork", "knife", "spoon", "bowl", - # Unknown - "unknown", -] - - -def register_voc_coco(name, dirname, split, year): - # 类别为80+1类 - class_names = VOC_COCO_CATEGORIES - # 按照注册voc数据集的格式注册voc_coco数据集 - DatasetCatalog.register( - name, lambda: load_voc_instances(dirname, split, class_names)) - MetadataCatalog.get(name).set( - thing_classes=list(class_names), dirname=dirname, year=year, split=split - ) diff --git a/spaces/digitalxingtong/Xingtong-2dall-Bert-VITS2/bert_gen.py b/spaces/digitalxingtong/Xingtong-2dall-Bert-VITS2/bert_gen.py deleted file mode 100644 index 467655b2c4171608ad690fe7dec350db85f84f1b..0000000000000000000000000000000000000000 --- a/spaces/digitalxingtong/Xingtong-2dall-Bert-VITS2/bert_gen.py +++ /dev/null @@ -1,53 +0,0 @@ -import torch -from torch.utils.data import DataLoader -from multiprocessing import Pool -import commons -import utils -from data_utils import TextAudioSpeakerLoader, TextAudioSpeakerCollate -from tqdm import tqdm -import warnings - -from text import cleaned_text_to_sequence, get_bert - -config_path = 'configs/config.json' -hps = utils.get_hparams_from_file(config_path) - -def process_line(line): - _id, spk, language_str, text, phones, tone, word2ph = line.strip().split("|") - phone = phones.split(" ") - tone = [int(i) for i in tone.split(" ")] - word2ph = [int(i) for i in word2ph.split(" ")] - w2pho = [i for i in word2ph] - word2ph = [i for i in word2ph] - phone, tone, language = cleaned_text_to_sequence(phone, tone, language_str) - - if hps.data.add_blank: - phone = commons.intersperse(phone, 0) - tone = commons.intersperse(tone, 0) - language = commons.intersperse(language, 0) - for i in range(len(word2ph)): - word2ph[i] = word2ph[i] * 2 - word2ph[0] += 1 - wav_path = f'{_id}' - - bert_path = wav_path.replace(".wav", ".bert.pt") - try: - bert = torch.load(bert_path) - assert bert.shape[-1] == len(phone) - except: - bert = get_bert(text, word2ph, language_str) - assert bert.shape[-1] == len(phone) - torch.save(bert, bert_path) - - -if __name__ == '__main__': - lines = [] - with open(hps.data.training_files, encoding='utf-8' ) as f: - lines.extend(f.readlines()) - - # with open(hps.data.validation_files, encoding='utf-8' ) as f: - # lines.extend(f.readlines()) - - with Pool(processes=2) as pool: #A100 40GB suitable config,if coom,please decrease the processess number. - for _ in tqdm(pool.imap_unordered(process_line, lines)): - pass diff --git a/spaces/dolceschokolade/chatbot-mini/types/prompt.ts b/spaces/dolceschokolade/chatbot-mini/types/prompt.ts deleted file mode 100644 index fb5c2ef5b02986f5a545ba75cdd1b6a04fc594a0..0000000000000000000000000000000000000000 --- a/spaces/dolceschokolade/chatbot-mini/types/prompt.ts +++ /dev/null @@ -1,10 +0,0 @@ -import { OpenAIModel } from './openai'; - -export interface Prompt { - id: string; - name: string; - description: string; - content: string; - model: OpenAIModel; - folderId: string | null; -} diff --git a/spaces/dongyi/MMFS/data/deprecated/unpaired_data.py b/spaces/dongyi/MMFS/data/deprecated/unpaired_data.py deleted file mode 100644 index 48989bf9460cf0774e42f63e071dba5e6c5af4b8..0000000000000000000000000000000000000000 --- a/spaces/dongyi/MMFS/data/deprecated/unpaired_data.py +++ /dev/null @@ -1,101 +0,0 @@ -import os -from utils.util import check_path_is_img -from utils.data_utils import Transforms -from utils.augmentation import ImagePathToImage -import random - -def add_unpaired_data(data, transforms, config, shuffle=False): - A_paths = [] - B_paths = [] - if config['dataset']['unpaired_' + config['common']['phase'] + 'A_filelist'] != '': - unpaired_data_file1 = open(config['dataset']['unpaired_' + config['common']['phase'] + 'A_filelist'], 'r') - Lines = unpaired_data_file1.readlines() - if shuffle: - random.shuffle(Lines) - for line in Lines: - if not config['dataset']['use_absolute_datafile']: - file = os.path.join(config['dataset']['dataroot'], line.strip()) - else: - file = line.strip() - if os.path.exists(file): - A_paths.append(file) - unpaired_data_file1.close() - - unpaired_data_file2 = open(config['dataset']['unpaired_' + config['common']['phase'] + 'B_filelist'], 'r') - Lines = unpaired_data_file2.readlines() - if shuffle: - random.shuffle(Lines) - for line in Lines: - if not config['dataset']['use_absolute_datafile']: - file = os.path.join(config['dataset']['dataroot'], line.strip()) - else: - file = line.strip() - if os.path.exists(file): - B_paths.append(file) - unpaired_data_file2.close() - elif config['dataset']['unpaired_' + config['common']['phase'] + 'A_folder'] != '' and \ - config['dataset']['unpaired_' + config['common']['phase'] + 'B_folder'] != '': - dir_A = config['dataset']['unpaired_' + config['common']['phase'] + 'A_folder'] - filenames = os.listdir(dir_A) - if shuffle: - random.shuffle(filenames) - for filename in filenames: - if not check_path_is_img(filename): - continue - A_path = os.path.join(dir_A, filename) - if os.path.exists(A_path): - A_paths.append(A_path) - - dir_B = config['dataset']['unpaired_' + config['common']['phase'] + 'B_folder'] - filenames = os.listdir(dir_B) - if shuffle: - random.shuffle(filenames) - for filename in filenames: - if not check_path_is_img(filename): - continue - B_path = os.path.join(dir_B, filename) - if os.path.exists(B_path): - B_paths.append(B_path) - - else: - dir_A = os.path.join(config['dataset']['dataroot'], config['common']['phase'] + 'unpairedA') - dir_B = os.path.join(config['dataset']['dataroot'], config['common']['phase'] + 'unpairedB') - if os.path.exists(dir_A) and os.path.exists(dir_B): - filenames = os.listdir(dir_A) - if shuffle: - random.shuffle(filenames) - for filename in filenames: - if not check_path_is_img(filename): - continue - A_path = os.path.join(dir_A, filename) - A_paths.append(A_path) - filenames = os.listdir(dir_B) - if shuffle: - random.shuffle(filenames) - for filename in filenames: - if not check_path_is_img(filename): - continue - B_path = os.path.join(dir_B, filename) - B_paths.append(B_path) - - - btoA = config['dataset']['direction'] == 'BtoA' - input_nc = config['model']['output_nc'] if btoA else config['model']['input_nc'] - output_nc = config['model']['input_nc'] if btoA else config['model']['output_nc'] - - transform = Transforms(config, input_grayscale_flag=(input_nc == 1), output_grayscale_flag=(output_nc == 1)) - transform.get_transform_from_config() - transform.get_transforms().insert(0, ImagePathToImage()) - transform = transform.compose_transforms() - - data['unpaired_A_path'] = A_paths - data['unpaired_B_path'] = B_paths - transforms['unpaired'] = transform - -def apply_unpaired_transforms(index, data, transforms, return_dict): - if len(data['unpaired_A_path']) > 0 and len(data['unpaired_B_path']) > 0: - index_B = random.randint(0, len(data['unpaired_B_path']) - 1) - return_dict['unpaired_A'], return_dict['unpaired_B'] = transforms['unpaired'] \ - (data['unpaired_A_path'][index], data['unpaired_B_path'][index_B]) - return_dict['unpaired_A_path'] = data['unpaired_A_path'][index] - return_dict['unpaired_B_path'] = data['unpaired_B_path'][index_B] diff --git a/spaces/drift-ai/art-search-engine/app.py b/spaces/drift-ai/art-search-engine/app.py deleted file mode 100644 index 7344f2e6cdda51f00715341ac9336debae7743a2..0000000000000000000000000000000000000000 --- a/spaces/drift-ai/art-search-engine/app.py +++ /dev/null @@ -1,244 +0,0 @@ -import os -import requests -import json - -import gradio as gr - -with open("mapping.json", "r") as f: - mapping = json.load(f) - - -def get_images(text): - headers = { - "Content-Type": "application/json", - "x-api-key": os.environ["API_KEY"], - } - params = { - "return-images": "true", - "number-results": "4", - } - response = requests.post( - "https://wjdr33c1id.execute-api.eu-west-1.amazonaws.com/dev/prediction", - params=params, - headers=headers, - json={"data": text}, - ) - images = [] - response_json = response.json() - image_data = response_json["image"] - image_label = [f"Artist: {mapping[str(id_)]}" for id_ in response_json["id"]] - - for image in image_data: - # got this from https://huggingface.co/spaces/stabilityai/stable-diffusion/blob/main/app.py - image_b64 = f"data:image/jpeg;base64,{image}" - images.append(image_b64) - return tuple(zip(images, image_label)) - - -css = """ - .gradio-container { - font-family: 'IBM Plex Sans', sans-serif; - } - .gr-button { - color: white; - border-color: black; - background: black; - } - input[type='range'] { - accent-color: black; - } - .dark input[type='range'] { - accent-color: #dfdfdf; - } - .container { - max-width: 730px; - margin: auto; - padding-top: 1.5rem; - } - #gallery { - min-height: 22rem; - margin-bottom: 15px; - margin-left: auto; - margin-right: auto; - border-bottom-right-radius: .5rem !important; - border-bottom-left-radius: .5rem !important; - } - #gallery>div>.h-full { - min-height: 20rem; - } - .details:hover { - text-decoration: underline; - } - .gr-button { - white-space: nowrap; - } - .gr-button:focus { - border-color: rgb(147 197 253 / var(--tw-border-opacity)); - outline: none; - box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000); - --tw-border-opacity: 1; - --tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color); - --tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color); - --tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity)); - --tw-ring-opacity: .5; - } - #advanced-btn { - font-size: .7rem !important; - line-height: 19px; - margin-top: 12px; - margin-bottom: 12px; - padding: 2px 8px; - border-radius: 14px !important; - } - #advanced-options { - display: none; - margin-bottom: 20px; - } - .footer { - margin-bottom: 45px; - margin-top: 35px; - text-align: center; - border-bottom: 1px solid #e5e5e5; - } - .footer>p { - font-size: .8rem; - display: inline-block; - padding: 0 10px; - transform: translateY(10px); - background: white; - } - .dark .footer { - border-color: #303030; - } - .dark .footer>p { - background: #0b0f19; - } - .acknowledgments h4{ - margin: 1.25em 0 .25em 0; - font-weight: bold; - font-size: 115%; - } - .animate-spin { - animation: spin 1s linear infinite; - } - @keyframes spin { - from { - transform: rotate(0deg); - } - to { - transform: rotate(360deg); - } - } - #share-btn-container { - display: flex; padding-left: 0.5rem !important; padding-right: 0.5rem !important; background-color: #000000; justify-content: center; align-items: center; border-radius: 9999px !important; width: 13rem; - margin-top: 10px; - margin-left: auto; - } - #share-btn { - all: initial; color: #ffffff;font-weight: 600; cursor:pointer; font-family: 'IBM Plex Sans', sans-serif; margin-left: 0.5rem !important; padding-top: 0.25rem !important; padding-bottom: 0.25rem !important;right:0; - } - #share-btn * { - all: unset; - } - #share-btn-container div:nth-child(-n+2){ - width: auto !important; - min-height: 0px !important; - } - #share-btn-container .wrap { - display: none !important; - } - - .gr-form{ - flex: 1 1 50%; border-top-right-radius: 0; border-bottom-right-radius: 0; - } - #prompt-container{ - gap: 0; - } - #prompt-text-input, #negative-prompt-text-input{padding: .45rem 0.625rem} - #component-16{border-top-width: 1px!important;margin-top: 1em} - .image_duplication{position: absolute; width: 100px; left: 50px} -""" -examples = [ - "people around a dead person", - "a guard in armor", - "a father mourning for his child", - "a mother breastfeeding her son", - "pineapple", - "van eyck", - "cubism", -] - -block = gr.Blocks(css=css) - -with block: - gr.HTML( - """ -
-
- -

- Art Search Engine -

-
-

- Search the WikiArt dataset containing 81 444 paintings. -
Read the article Searching Art with Artifical Intelligence -

-
- """ - ) - with gr.Group(): - with gr.Box(): - with gr.Row(elem_id="prompt-container").style( - mobile_collapse=False, equal_height=True - ): - with gr.Column(): - text = gr.Textbox( - label="Describe A Scene.", - show_label=False, - max_lines=1, - placeholder="Describe A Scene.", - elem_id="prompt-text-input", - ).style( - border=(True, False, True, True), - rounded=(True, False, False, True), - container=False, - ) - btn = gr.Button("Search Art").style( - margin=False, - rounded=(False, True, True, False), - full_width=False, - ) - - gallery = gr.Gallery( - label="Art Pieces", show_label=False, elem_id="gallery" - ).style(grid=[2], height="auto") - btn.click(get_images, inputs=text, outputs=gallery, postprocess=False) - ex = gr.Examples( - examples=examples, - fn=get_images, - inputs=text, - outputs=gallery, - cache_examples=False, - ) - ex.dataset.headers = [""] - gr.HTML( - """ - -
- Want a free demo on a sample of your image data? - Schedule a call. -
- """ - ) - -block.launch() diff --git a/spaces/duchaba/sd_prompt_helper/README.md b/spaces/duchaba/sd_prompt_helper/README.md deleted file mode 100644 index 8c07b574475b36b894c5d6feaee3046dd82bb1b7..0000000000000000000000000000000000000000 --- a/spaces/duchaba/sd_prompt_helper/README.md +++ /dev/null @@ -1,13 +0,0 @@ ---- -title: Stable Diffusion Rompt -emoji: 📉 -colorFrom: yellow -colorTo: indigo -sdk: gradio -sdk_version: 3.27.0 -app_file: app.py -pinned: false -license: mit ---- - -Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference diff --git a/spaces/erbanku/gpt-academic/crazy_functions/test_project/cpp/cppipc/policy.h b/spaces/erbanku/gpt-academic/crazy_functions/test_project/cpp/cppipc/policy.h deleted file mode 100644 index f88ab5d8cb343f97026966b402eaeed8831e356a..0000000000000000000000000000000000000000 --- a/spaces/erbanku/gpt-academic/crazy_functions/test_project/cpp/cppipc/policy.h +++ /dev/null @@ -1,25 +0,0 @@ -#pragma once - -#include - -#include "libipc/def.h" -#include "libipc/prod_cons.h" - -#include "libipc/circ/elem_array.h" - -namespace ipc { -namespace policy { - -template