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[ "Hi @zepouet, can you try with `Clang from xcode 13.6`: https://www.tensorflow.org/install/source#macos ensure your versions are aligned with the compatibility matrix. Thanks.", "Hello @pkgoogle, can you give me the compatibily matrix please ? Thanks. \r\nI fear to downgrade CLang and have side effect elsewhere.\r\nI will try neverthless outside.\r\nThanks a lot", "Hi @zepouet, apologies, it's lower down the link's page, I had thought I linked it directly: https://www.tensorflow.org/install/source#cpu_2", "This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you." ]

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[ "@swoiow,\r\nAfter version 2.10, we will only be providing pip packages for Linux x86_64 and Intel-based Macs. For other systems like Windows, Aarch64, and Apple Macs, TensorFlow relies on [build collaborators](https://blog.tensorflow.org/2022/09/announcing-tensorflow-official-build-collaborators.html), and so we will not be providing packages for them. However, we will continue to accept PRs to make building for these OSs easy for users, and will try to point to community efforts related to them.\r\n\r\nhttps://github.com/tensorflow/text/blob/master/README.md#a-note-about-different-operating-system-packages\r\n\r\nPlease try to install using WSL/WSL2. Thank you!", "Yes, i notify the note, i need more details for build, then i try to fix it. Any help? @tilakrayal ", "@swoiow,\r\nThe fix which you are mentioning would be provided by the tensorflow-text team. Could you please raise the concern on the respected [repo](https://github.com/tensorflow/text/issues/) or the contribute with the PR for the quick resolution. Thank you!", "The main concern is some body need to run tensorflow-text under windows. But now not supported, SO if i want to build by my self, which packages are need to be prepare, and the build steps is ??? @tilakrayal ", "@swoiow,\r\nAs mentioned above, Could you please raise the concern on the respected [repo](https://github.com/tensorflow/text/issues/) or the contribute with the PR for the quick resolution. The Tensorflow team doesn't have any control over the text. Thank you!", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/67465\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/67465\">No</a>\n" ]

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[ "Thanks for your pull request! It looks like this may be your first contribution to a Google open source project. Before we can look at your pull request, you'll need to sign a Contributor License Agreement (CLA).\n\nView this [failed invocation](https://github.com/tensorflow/tensorflow/pull/67457/checks?check_run_id=24906488428) of the CLA check for more information.\n\nFor the most up to date status, view the checks section at the bottom of the pull request." ]

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[ "Thanks for your pull request! It looks like this may be your first contribution to a Google open source project. Before we can look at your pull request, you'll need to sign a Contributor License Agreement (CLA).\n\nView this [failed invocation](https://github.com/tensorflow/tensorflow/pull/67446/checks?check_run_id=24900568374) of the CLA check for more information.\n\nFor the most up to date status, view the checks section at the bottom of the pull request." ]

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[ "Hi @wzzll123 ,\r\n\r\nI have tested the code with tf-nightly and replicated the precisional differences wrt `float32` and `bfloat16`. Attached [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/65f24bed8192f64bdcf76bc81c923a93/67440.ipynb#scrollTo=KZg13iGhYGPP) for reference. There seems to be an issue.", "Hi @SuryanarayanaY , thanks for replying.\r\n\r\nThe precision discrepancies may stem from the fact that activation operators' computations don't incorporate precision improvement. Similar [issues](https://github.com/pytorch/pytorch/issues/77942) have arisen in PyTorch, which were fixed by using precision improvement. Perhaps TensorFlow could address this issue similarly?" ]

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