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Add a pass that removes `stablehlo.custom_call @Sharding`.
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Add a pass that removes `stablehlo.custom_call @Sharding`.
These are the ops that originate from `tf.XlaSharding` ops, legalized by TF->StableHLO legalization passes.
These custom calls are not compatible with TFLite, so it needs to be removed before exporting to the TFLite flatbuffer.
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PR #59937: [TFLite] Add support for int8 quantized DivOp
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PR #59937: [TFLite] Add support for int8 quantized DivOp
Imported from GitHub PR https://github.com/tensorflow/tensorflow/pull/59937
This PR adds support for quantized int8 inputs and outputs to the `div` op. TFLite Micro added support for int8 quantized divides in https://github.com/tensorflow/tflite-micro/pull/1196, but until now the MLIR based converter would force the op to stay in float due to missing TFLite support for it. This PR fixes this and adds support for int8 quantized divide ops to TFLite and the converter.
Copybara import of the project:
--
86b6971eab3836dd5e09fb3059c7edfd24ae99e0 by Lukas Geiger <[email protected]>:
[TFLite] Add support for int8 quantized DivOp
Merging this change closes #59937
FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/tensorflow/pull/59937 from lgeiger:tflite-i8-div 86b6971eab3836dd5e09fb3059c7edfd24ae99e0
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PR #62937: New Features for TFLite Delegates accuracy and correctness tools
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PR #62937: New Features for TFLite Delegates accuracy and correctness tools
Imported from GitHub PR https://github.com/tensorflow/tensorflow/pull/62937
The new features are:
- **Option to use reference and test model for the evaluation tools.** This supports the cases, where the delegate does not perform inline model compilation for target compute IP but requires model to be preprocessed in advance. For instance the workflow with Ethos-U NPU - the model is converted by Arm Vela tool, which replaces part of the compute graph with custom nodes recognized by the particular delegate. To evaluate the accuracy in this case one needs to supply both the reference and converted (test) model. The reference to be used with reference inference and test model with delegate.
- **Add support for int32 input/output**
Copybara import of the project:
--
19cea144c496ec0a9deb3d4465220106d48e5073 by Robert Kalmar <[email protected]>:
Enable two model inference_diff for post model conversion evaluation
--
d98135cc681819e8da3945350e355f010d90d234 by Robert Kalmar <[email protected]>:
Support int32 input/output for inference_diff tool
Merging this change closes #62937
FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/tensorflow/pull/62937 from nxp-imx:patches/inference_diff_tool_new_features d98135cc681819e8da3945350e355f010d90d234
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[
"Any updates? This issue makes it impossible to install tensorflow-cpu (any version) on Python **3.12** when using Poetry. Or is there a workaround?\r\n\r\nFor example, when using this `pyproject.toml`:\r\n```\r\n[tool.poetry]\r\nname = \"python-3-12-poetry-env\"\r\nversion = \"0.1.0\"\r\ndescription = \"\"\r\nauthors = [\"\"]\r\n\r\n[tool.poetry.dependencies]\r\npython = \">=3.9,<3.13\"\r\ntensorflow-cpu = { version = \"2.16.*\" }\r\n\r\n[build-system]\r\nrequires = [\"poetry-core\"]\r\nbuild-backend = \"poetry.core.masonry.api\"\r\n```\r\n\r\nAnd then running `poetry install` the output is\r\n```\r\nBecause no versions of tensorflow-cpu match >=2.16.dev0,<2.16.0rc0 || >2.16.0rc0,<2.16.1 || >2.16.1,<2.17.dev0\r\n and tensorflow-cpu (2.16.0rc0) depends on tensorflow-cpu-aws (2.16.0-rc0), tensorflow-cpu (==2.16.0.* || >2.16.1,<2.17.dev0) requires tensorflow-cpu-aws (2.16.0-rc0).\r\nAnd because no versions of tensorflow-cpu-aws match 2.16.0-rc0\r\n and tensorflow-cpu (2.16.1) depends on tensorflow-cpu-aws (2.16.1), tensorflow-cpu (==2.16.*) requires tensorflow-cpu-aws (2.16.1).\r\nSo, because no versions of tensorflow-cpu-aws match 2.16.1\r\n and python-3-12-poetry-env depends on tensorflow-cpu (2.16.*), version solving failed.\r\n```\r\n",
"This also affects other Python versions, not just 3.12. I'm on 3.10. How am I supposed to depend on this version of TensorFlow when using poetry?\r\n\r\nThis seems to be broken?!?",
"This also completely prevents creating a lock file with [`pdm`](https://pdm-project.org/):\r\n\r\n```toml\r\n[project]\r\nrequires-python = \">=3.11,<3.12\"\r\nname = \"foo\"\r\nversion = \"0.0.1\"\r\n\r\ndependencies = [\r\n \"tensorflow>=2.16.1\",\r\n]\r\n```\r\n\r\nthen `pdm lock` leads to \r\n\r\n```\r\n🔒 Lock failed\r\nERROR: Unable to find a resolution for tensorflow-cpu-aws\r\nbecause of the following conflicts:\r\n tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \r\n\"Linux\" (from [email protected])\r\nTo fix this, you could loosen the dependency version constraints in pyproject.toml.\r\n```\r\n\r\n<details><summary>verbose log</summary>\r\n\r\n```\r\nSTATUS: Resolving dependencies\r\npdm.termui: ======== Start resolving requirements ========\r\npdm.termui: tensorflow>=2.16.1\r\npdm.termui: python<3.12,>=3.11\r\npdm.termui: Adding requirement tensorflow>=2.16.1\r\npdm.termui: Adding requirement python<3.12,>=3.11\r\npdm.termui: ======== Starting round 0 ========\r\nSTATUS: Resolving: new pin python<3.12,>=3.11\r\npdm.termui: Pinning: python None\r\npdm.termui: ======== Ending round 0 ========\r\npdm.termui: ======== Starting round 1 ========\r\npdm.termui: Adding requirement absl-py>=1.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement astunparse>=1.6.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement flatbuffers>=23.5.26(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement google-pasta>=0.1.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement h5py>=3.10.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement libclang>=13.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement ml-dtypes~=0.3.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement opt-einsum>=2.3.2(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement packaging(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement requests<3,>=2.21.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement setuptools(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement six>=1.12.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement termcolor>=1.1.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement typing-extensions>=3.6.6(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement wrapt>=1.11.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement grpcio<2.0,>=1.24.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorboard<2.17,>=2.16(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement keras>=3.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\"(from tensorflow 2.16.1)\r\npdm.termui: Candidate rejected: [email protected] because it introduces a new requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\" that conflicts with other requirements:\r\n \r\npdm.termui: Adding requirement absl-py>=1.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement astunparse>=1.6.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement flatbuffers>=23.5.26(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement google-pasta>=0.1.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement h5py>=3.10.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement libclang>=13.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement ml-dtypes~=0.3.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement opt-einsum>=2.3.2(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement packaging(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement requests<3,>=2.21.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement setuptools(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement six>=1.12.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement termcolor>=1.1.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement typing-extensions>=3.6.6(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement wrapt>=1.11.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement grpcio<2.0,>=1.24.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorboard<2.17,>=2.16(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement keras>=3.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\"(from tensorflow 2.16.1)\r\npdm.termui: Candidate rejected: [email protected] because it introduces a new requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\" that conflicts with other requirements:\r\n \r\npdm.termui: Adding requirement absl-py>=1.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement astunparse>=1.6.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement flatbuffers>=23.5.26(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement google-pasta>=0.1.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement h5py>=3.10.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement libclang>=13.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement ml-dtypes~=0.3.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement opt-einsum>=2.3.2(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement packaging(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement requests<3,>=2.21.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement setuptools(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement six>=1.12.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement termcolor>=1.1.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement typing-extensions>=3.6.6(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement wrapt>=1.11.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement grpcio<2.0,>=1.24.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorboard<2.17,>=2.16(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement keras>=3.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\"(from tensorflow 2.16.1)\r\npdm.termui: Candidate rejected: [email protected] because it introduces a new requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\" that conflicts with other requirements:\r\n \r\npdm.termui: Adding requirement absl-py>=1.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement astunparse>=1.6.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement flatbuffers>=23.5.26(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement google-pasta>=0.1.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement h5py>=3.10.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement libclang>=13.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement ml-dtypes~=0.3.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement opt-einsum>=2.3.2(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement packaging(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement requests<3,>=2.21.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement setuptools(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement six>=1.12.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement termcolor>=1.1.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement typing-extensions>=3.6.6(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement wrapt>=1.11.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement grpcio<2.0,>=1.24.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorboard<2.17,>=2.16(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement keras>=3.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\"(from tensorflow 2.16.1)\r\npdm.termui: Candidate rejected: [email protected] because it introduces a new requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\" that conflicts with other requirements:\r\n \r\npdm.termui: Adding requirement absl-py>=1.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement astunparse>=1.6.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement flatbuffers>=23.5.26(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement google-pasta>=0.1.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement h5py>=3.10.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement libclang>=13.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement ml-dtypes~=0.3.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement opt-einsum>=2.3.2(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement packaging(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement requests<3,>=2.21.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement setuptools(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement six>=1.12.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement termcolor>=1.1.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement typing-extensions>=3.6.6(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement wrapt>=1.11.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement grpcio<2.0,>=1.24.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorboard<2.17,>=2.16(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement keras>=3.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\"(from tensorflow 2.16.1)\r\npdm.termui: Candidate rejected: [email protected] because it introduces a new requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\" that conflicts with other requirements:\r\n \r\npdm.termui: Adding requirement absl-py>=1.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement astunparse>=1.6.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement flatbuffers>=23.5.26(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement google-pasta>=0.1.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement h5py>=3.10.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement libclang>=13.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement ml-dtypes~=0.3.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement opt-einsum>=2.3.2(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement packaging(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement requests<3,>=2.21.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement setuptools(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement six>=1.12.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement termcolor>=1.1.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement typing-extensions>=3.6.6(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement wrapt>=1.11.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement grpcio<2.0,>=1.24.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorboard<2.17,>=2.16(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement keras>=3.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\"(from tensorflow 2.16.1)\r\npdm.termui: Candidate rejected: [email protected] because it introduces a new requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\" that conflicts with other requirements:\r\n \r\npdm.termui: Adding requirement absl-py>=1.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement astunparse>=1.6.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement flatbuffers>=23.5.26(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement google-pasta>=0.1.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement h5py>=3.10.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement libclang>=13.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement ml-dtypes~=0.3.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement opt-einsum>=2.3.2(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement packaging(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement requests<3,>=2.21.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement setuptools(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement six>=1.12.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement termcolor>=1.1.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement typing-extensions>=3.6.6(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement wrapt>=1.11.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement grpcio<2.0,>=1.24.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorboard<2.17,>=2.16(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement keras>=3.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\"(from tensorflow 2.16.1)\r\npdm.termui: Candidate rejected: [email protected] because it introduces a new requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\" that conflicts with other requirements:\r\n \r\npdm.termui: Adding requirement absl-py>=1.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement astunparse>=1.6.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement flatbuffers>=23.5.26(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement google-pasta>=0.1.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement h5py>=3.10.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement libclang>=13.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement ml-dtypes~=0.3.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement opt-einsum>=2.3.2(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement packaging(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement requests<3,>=2.21.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement setuptools(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement six>=1.12.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement termcolor>=1.1.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement typing-extensions>=3.6.6(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement wrapt>=1.11.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement grpcio<2.0,>=1.24.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorboard<2.17,>=2.16(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement keras>=3.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\"(from tensorflow 2.16.1)\r\npdm.termui: Candidate rejected: [email protected] because it introduces a new requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\" that conflicts with other requirements:\r\n \r\npdm.termui: Adding requirement absl-py>=1.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement astunparse>=1.6.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement flatbuffers>=23.5.26(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement google-pasta>=0.1.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement h5py>=3.10.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement libclang>=13.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement ml-dtypes~=0.3.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement opt-einsum>=2.3.2(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement packaging(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement requests<3,>=2.21.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement setuptools(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement six>=1.12.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement termcolor>=1.1.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement typing-extensions>=3.6.6(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement wrapt>=1.11.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement grpcio<2.0,>=1.24.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorboard<2.17,>=2.16(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement keras>=3.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\"(from tensorflow 2.16.1)\r\npdm.termui: Candidate rejected: [email protected] because it introduces a new requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\" that conflicts with other requirements:\r\n \r\npdm.termui: Adding requirement absl-py>=1.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement astunparse>=1.6.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement flatbuffers>=23.5.26(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement google-pasta>=0.1.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement h5py>=3.10.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement libclang>=13.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement ml-dtypes~=0.3.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement opt-einsum>=2.3.2(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement packaging(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement requests<3,>=2.21.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement setuptools(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement six>=1.12.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement termcolor>=1.1.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement typing-extensions>=3.6.6(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement wrapt>=1.11.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement grpcio<2.0,>=1.24.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorboard<2.17,>=2.16(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement keras>=3.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\"(from tensorflow 2.16.1)\r\npdm.termui: Candidate rejected: [email protected] because it introduces a new requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\" that conflicts with other requirements:\r\n \r\npdm.termui: Adding requirement absl-py>=1.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement astunparse>=1.6.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement flatbuffers>=23.5.26(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement google-pasta>=0.1.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement h5py>=3.10.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement libclang>=13.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement ml-dtypes~=0.3.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement opt-einsum>=2.3.2(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement packaging(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement requests<3,>=2.21.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement setuptools(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement six>=1.12.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement termcolor>=1.1.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement typing-extensions>=3.6.6(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement wrapt>=1.11.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement grpcio<2.0,>=1.24.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorboard<2.17,>=2.16(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement keras>=3.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\"(from tensorflow 2.16.1)\r\npdm.termui: Candidate rejected: [email protected] because it introduces a new requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\" that conflicts with other requirements:\r\n \r\npdm.termui: Adding requirement absl-py>=1.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement astunparse>=1.6.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement flatbuffers>=23.5.26(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement google-pasta>=0.1.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement h5py>=3.10.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement libclang>=13.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement ml-dtypes~=0.3.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement opt-einsum>=2.3.2(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement packaging(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement requests<3,>=2.21.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement setuptools(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement six>=1.12.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement termcolor>=1.1.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement typing-extensions>=3.6.6(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement wrapt>=1.11.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement grpcio<2.0,>=1.24.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorboard<2.17,>=2.16(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement keras>=3.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\"(from tensorflow 2.16.1)\r\npdm.termui: Candidate rejected: [email protected] because it introduces a new requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\" that conflicts with other requirements:\r\n \r\npdm.termui: Adding requirement absl-py>=1.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement astunparse>=1.6.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement flatbuffers>=23.5.26(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement google-pasta>=0.1.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement h5py>=3.10.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement libclang>=13.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement ml-dtypes~=0.3.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement opt-einsum>=2.3.2(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement packaging(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement requests<3,>=2.21.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement setuptools(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement six>=1.12.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement termcolor>=1.1.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement typing-extensions>=3.6.6(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement wrapt>=1.11.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement grpcio<2.0,>=1.24.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorboard<2.17,>=2.16(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement keras>=3.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\"(from tensorflow 2.16.1)\r\npdm.termui: Candidate rejected: [email protected] because it introduces a new requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\" that conflicts with other requirements:\r\n \r\npdm.termui: Adding requirement absl-py>=1.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement astunparse>=1.6.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement flatbuffers>=23.5.26(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement google-pasta>=0.1.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement h5py>=3.10.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement libclang>=13.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement ml-dtypes~=0.3.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement opt-einsum>=2.3.2(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement packaging(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement requests<3,>=2.21.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement setuptools(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement six>=1.12.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement termcolor>=1.1.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement typing-extensions>=3.6.6(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement wrapt>=1.11.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement grpcio<2.0,>=1.24.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorboard<2.17,>=2.16(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement keras>=3.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\"(from tensorflow 2.16.1)\r\npdm.termui: Candidate rejected: [email protected] because it introduces a new requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\" that conflicts with other requirements:\r\n \r\npdm.termui: Adding requirement absl-py>=1.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement astunparse>=1.6.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement flatbuffers>=23.5.26(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement google-pasta>=0.1.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement h5py>=3.10.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement libclang>=13.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement ml-dtypes~=0.3.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement opt-einsum>=2.3.2(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement packaging(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement requests<3,>=2.21.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement setuptools(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement six>=1.12.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement termcolor>=1.1.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement typing-extensions>=3.6.6(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement wrapt>=1.11.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement grpcio<2.0,>=1.24.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorboard<2.17,>=2.16(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement keras>=3.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\"(from tensorflow 2.16.1)\r\npdm.termui: Candidate rejected: [email protected] because it introduces a new requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\" that conflicts with other requirements:\r\n \r\npdm.termui: Adding requirement absl-py>=1.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement astunparse>=1.6.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement flatbuffers>=23.5.26(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement google-pasta>=0.1.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement h5py>=3.10.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement libclang>=13.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement ml-dtypes~=0.3.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement opt-einsum>=2.3.2(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement packaging(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement requests<3,>=2.21.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement setuptools(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement six>=1.12.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement termcolor>=1.1.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement typing-extensions>=3.6.6(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement wrapt>=1.11.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement grpcio<2.0,>=1.24.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorboard<2.17,>=2.16(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement keras>=3.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\"(from tensorflow 2.16.1)\r\npdm.termui: Candidate rejected: [email protected] because it introduces a new requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\" that conflicts with other requirements:\r\n \r\npdm.termui: Adding requirement absl-py>=1.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement astunparse>=1.6.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement flatbuffers>=23.5.26(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement google-pasta>=0.1.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement h5py>=3.10.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement libclang>=13.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement ml-dtypes~=0.3.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement opt-einsum>=2.3.2(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement packaging(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement requests<3,>=2.21.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement setuptools(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement six>=1.12.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement termcolor>=1.1.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement typing-extensions>=3.6.6(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement wrapt>=1.11.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement grpcio<2.0,>=1.24.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorboard<2.17,>=2.16(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement keras>=3.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\"(from tensorflow 2.16.1)\r\npdm.termui: Candidate rejected: [email protected] because it introduces a new requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\" that conflicts with other requirements:\r\n \r\npdm.termui: Adding requirement absl-py>=1.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement astunparse>=1.6.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement flatbuffers>=23.5.26(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement google-pasta>=0.1.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement h5py>=3.10.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement libclang>=13.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement ml-dtypes~=0.3.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement opt-einsum>=2.3.2(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement packaging(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement requests<3,>=2.21.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement setuptools(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement six>=1.12.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement termcolor>=1.1.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement typing-extensions>=3.6.6(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement wrapt>=1.11.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement grpcio<2.0,>=1.24.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorboard<2.17,>=2.16(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement keras>=3.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\"(from tensorflow 2.16.1)\r\npdm.termui: Candidate rejected: [email protected] because it introduces a new requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\" that conflicts with other requirements:\r\n \r\npdm.termui: Adding requirement absl-py>=1.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement astunparse>=1.6.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement flatbuffers>=23.5.26(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement google-pasta>=0.1.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement h5py>=3.10.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement libclang>=13.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement ml-dtypes~=0.3.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement opt-einsum>=2.3.2(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement packaging(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement requests<3,>=2.21.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement setuptools(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement six>=1.12.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement termcolor>=1.1.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement typing-extensions>=3.6.6(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement wrapt>=1.11.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement grpcio<2.0,>=1.24.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorboard<2.17,>=2.16(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement keras>=3.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\"(from tensorflow 2.16.1)\r\npdm.termui: Candidate rejected: [email protected] because it introduces a new requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\" that conflicts with other requirements:\r\n \r\npdm.termui: Adding requirement absl-py>=1.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement astunparse>=1.6.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement flatbuffers>=23.5.26(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement google-pasta>=0.1.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement h5py>=3.10.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement libclang>=13.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement ml-dtypes~=0.3.1(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement opt-einsum>=2.3.2(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement packaging(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement requests<3,>=2.21.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement setuptools(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement six>=1.12.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement termcolor>=1.1.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement typing-extensions>=3.6.6(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement wrapt>=1.11.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement grpcio<2.0,>=1.24.3(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorboard<2.17,>=2.16(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement keras>=3.0.0(from tensorflow 2.16.1)\r\npdm.termui: Adding requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\"(from tensorflow 2.16.1)\r\npdm.termui: Candidate rejected: [email protected] because it introduces a new requirement tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\" that conflicts with other requirements:\r\n \r\npdm.termui: Conflicts detected: \r\n tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \"Linux\" (from [email protected])\r\n🔒 Lock failed\r\nERROR: Unable to find a resolution for tensorflow-cpu-aws\r\nbecause of the following conflicts:\r\n tensorflow-cpu-aws==2.16.1; (platform_machine == \"arm64\" or platform_machine == \"aarch64\") and platform_system == \r\n\"Linux\" (from [email protected])\r\nTo fix this, you could loosen the dependency version constraints in pyproject.toml.\r\n```\r\n\r\n</details>\r\n\r\n\r\n",
"Installing tf-nightly-cpu version 2.17.0.dev20240412 with Poetry works, so this is fixed in master (intentionally?). If patch release 2.16.2 is going to be made, the fix of this issue should be included in it.\r\n\r\nI tried to identify the fix, but could not understand the publish/build process.\r\n\r\nEdit: Poetry shows only one dependency for tf-nightly-cpu:\r\n```\r\npoetry show tf-nightly-cpu\r\n name : tf-nightly-cpu \r\n version : 2.17.0.dev20240412 \r\n description : TensorFlow is an open source machine learning framework for everyone. \r\n\r\ndependencies\r\n - tf-nightly-intel 2.17.0-dev20240412\r\n```\r\nWhereas for tensorflow-cpu v2.15.1 Poetry showed about 20 dependencies. :thinking: \r\n",
"Thanks for letting us know. \r\n\r\nhttps://github.com/tensorflow/tensorflow/commit/a03c28b65b4491a1c657e5ef0a918913c5db42ec did not make it into r2.16 which is why it is fixed on Master but not in r2.16. https://github.com/tensorflow/tensorflow/pull/67772 should fix it for TF 2.16.2.\r\n\r\nIn the meantime, I'll take a look at the Poetry installation to see if something can done for mitigation until then. ",
"**TL;DR:** Poetry encounters dependency resolution issues with `tensorflow-cpu` due to a dependency on `tensorflow-cpu-aws`. Fixed wheels for TF 2.16.1 are available in a GCS bucket with instructions on how to use them. This is a temporary workaround until TF 2.16.2 is released.\r\n***\r\nI created a sample project using Poetry to investigate this issue. I found that Poetry successfully resolves dependencies when using `tensorflow`, but encounters issues with `tensorflow-cpu`.\r\n\r\nSpecifically, the following configuration works:\r\n```\r\n[tool.poetry.dependencies]\r\npython = \"^3.9\"\r\ntensorflow = \"^2.16.1\"\r\n```\r\n\r\nWhile this configuration does not:\r\n```\r\n[tool.poetry.dependencies]\r\npython = \"^3.9\"\r\ntensorflow_cpu = \"^2.16.1\"\r\n````\r\n\r\nAs others have noted, the problem arises when resolving the dependency on `tensorflow-cpu-aws`:\r\n```\r\nBecause no versions of tensorflow-cpu match >2.16.1,<3.0.0\r\n and tensorflow-cpu (2.16.1) depends on tensorflow-cpu-aws (2.16.1), tensorflow-cpu (>=2.16.1,<3.0.0) requires tensorflow-cpu-aws (2.16.1).\r\nSo, because no versions of tensorflow-cpu-aws match 2.16.1\r\n and test-project depends on tensorflow_cpu (^2.16.1), version solving failed.\r\n ````\r\n \r\nUpon inspecting the metadata of both `tensorflow` and `tensorflow-cpu` wheel packages, I noticed they are nearly identical except for the package name. Interestingly, both contain the following requirement:\r\n\r\n ```\r\n Requires-Dist: tensorflow-cpu-aws ==2.16.1 ; platform_system == \"Linux\" and (platform_machine == \"arm64\" or platform_machine == \"aarch64\")\r\n```\r\n\r\nIt's unclear why depending on `tensorflow` works, while `tensorflow-cpu` triggers an error. In any case, the dependency on `tensorflow-cpu-aws` in `tensorflow_cpu-2.16.1.dist-info/METADATA` seems to be the culprit. Removing this requirement allows Poetry to successfully resolve the `tensorflow-cpu` dependency.\r\n\r\nI've applied this fix to all `tensorflow` and `tensorflow-cpu` wheels for TF 2.16.1, available in `gs://tensorflow-2-16-1-fixed-wheels-poetry` (see end of this comment that lists all the wheels). To use them, modify your `pyproject.toml` as following:\r\n```\r\ntensorflow-cpu = {url=\"https://storage.googleapis.com/tensorflow-2-16-1-fixed-wheels-poetry/tensorflow_cpu/tensorflow_cpu-2.16.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl\" }\r\n```\r\n\r\n@randolf-scholz While I haven't tested it, it seems that this approach should also work with pdm, based on their [documentation](https://pdm-project.org/en/latest/usage/dependency/#url-dependencies).\r\n\r\nI hope this temporary solution helps until the release of TF 2.16.2 (expected in the next month or two). Please let me know if anyone encounter any further issues.\r\n\r\n<details>\r\n<summary> tensorflow </summary>\r\n<pre>\r\n<code>\r\n$ gsutil ls gs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow/*.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow/tensorflow-2.16.1-cp310-cp310-macosx_10_15_x86_64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow/tensorflow-2.16.1-cp310-cp310-macosx_12_0_arm64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow/tensorflow-2.16.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow/tensorflow-2.16.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow/tensorflow-2.16.1-cp310-cp310-win_amd64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow/tensorflow-2.16.1-cp311-cp311-macosx_10_15_x86_64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow/tensorflow-2.16.1-cp311-cp311-macosx_12_0_arm64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow/tensorflow-2.16.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow/tensorflow-2.16.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow/tensorflow-2.16.1-cp311-cp311-win_amd64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow/tensorflow-2.16.1-cp312-cp312-macosx_10_15_x86_64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow/tensorflow-2.16.1-cp312-cp312-macosx_12_0_arm64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow/tensorflow-2.16.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow/tensorflow-2.16.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow/tensorflow-2.16.1-cp312-cp312-win_amd64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow/tensorflow-2.16.1-cp39-cp39-macosx_10_15_x86_64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow/tensorflow-2.16.1-cp39-cp39-macosx_12_0_arm64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow/tensorflow-2.16.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow/tensorflow-2.16.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow/tensorflow-2.16.1-cp39-cp39-win_amd64.whl\r\n</code>\r\n</pre>\r\n</details>\r\n\r\n<details>\r\n<summary> tensorflow-cpu </summary>\r\n<pre>\r\n<code>\r\n$ gsutil ls gs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow_cpu/*.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow_cpu/tensorflow_cpu-2.16.1-cp310-cp310-macosx_10_15_x86_64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow_cpu/tensorflow_cpu-2.16.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow_cpu/tensorflow_cpu-2.16.1-cp310-cp310-win_amd64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow_cpu/tensorflow_cpu-2.16.1-cp311-cp311-macosx_10_15_x86_64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow_cpu/tensorflow_cpu-2.16.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow_cpu/tensorflow_cpu-2.16.1-cp311-cp311-win_amd64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow_cpu/tensorflow_cpu-2.16.1-cp312-cp312-macosx_10_15_x86_64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow_cpu/tensorflow_cpu-2.16.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow_cpu/tensorflow_cpu-2.16.1-cp312-cp312-win_amd64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow_cpu/tensorflow_cpu-2.16.1-cp39-cp39-macosx_10_15_x86_64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow_cpu/tensorflow_cpu-2.16.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl\r\ngs://tensorflow-2-16-1-fixed-wheels-poetry/tensorflow_cpu/tensorflow_cpu-2.16.1-cp39-cp39-win_amd64.whl\r\n</code>\r\n</pre>\r\n</details>\r\n\r\n\r\n\r\n\r\n\r\n",
"@nitins17, thanks for addressing this. Unfortunately, this would not work for us as we are not using poetry and the patched wheel file is for 3.11 only. Just wondering when can we expect the release of 2.16.2? This is blocking us from supporting Python 3.12 as we can't use 2.16.* in our dependencies.",
"@tachikoma-li Patched versions of all supported wheels should be present in `gs://tensorflow-2-16-1-fixed-wheels-poetry`. Sorry if it wasn't clear in my earlier post. In order to download a specific wheel, just replace `<wheel_name>` in the following urls:\r\n1. `tensorflow`: `https://storage.googleapis.com/tensorflow-2-16-1-fixed-wheels-poetry/tensorflow/<wheel_name>`\r\n2. `tensorflow-cpu`: `https://storage.googleapis.com/tensorflow-2-16-1-fixed-wheels-poetry/tensorflow_cpu/<wheel_name>`\r\n\r\nE.g: If you want to install the patched Python 3.12 wheel of TF 2.16 for Linux x86 then run the following:\r\n```\r\nwget https://storage.googleapis.com/tensorflow-2-16-1-fixed-wheels-poetry/tensorflow/tensorflow-2.16.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl\r\npip install --no-cache-dir tensorflow-2.16.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl\r\n```\r\n\r\nSadly, I know this isn't the cleanest of solutions but hope it helps until TF 2.16.2 comes out.\r\n\r\n> Just wondering when can we expect the release of 2.16.2? \r\n\r\nBranch cut was done this week. I'm guessing here but I think rc0 should come out in the next week or so and then 3-4 weeks more for the final release provided everything goes smoothly. \r\n"
] | 2024-03-13T06:27:40 | 2024-06-07T19:37:00 | null |
NONE
| null | null | null |
### Issue type
Build/Install
### Have you reproduced the bug with TensorFlow Nightly?
No
### TensorFlow version
2.16.1
### OS platform and distribution
Linux x86_64
### Python version
3.11
### Current behavior?
The metadata of TensoFlow 2.16.1 (for Linux x86_64) has a dependency of `tensorflow-cpu-aws`:
```
Requires-Dist: tensorflow-cpu-aws ==2.16.1 ; platform_system == "Linux" and (platform_machine == "arm64" or platform_machine == "aarch64")
```
However, the latest version of `tensorflow-cpu-aws` is [2.15.0](https://pypi.org/project/tensorflow-cpu-aws/). This would cause trouble when resolving the dependencies with the package metadata.
If we can't ensure the release of `tensorflow-cpu-aws` is synchronized with `tensorflow`, can we relax the dependency requirement in the metadata?
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PR_kwDOArmXAs5pdqlV
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PR #62807: Validate argument minvalue of tf.random.uniform
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PR #62807: Validate argument minvalue of tf.random.uniform
Imported from GitHub PR https://github.com/tensorflow/tensorflow/pull/62807
At present the API, `tf.random.uniform` raises `InvalidArgumentError` if `minval` >= `maxval` for `int` dtype only. This check happens in C++ backend for `int` data type only.
However same is not true for `float` datatype. It will not raise an error and It is ignoring min and max values in this case considering the range only.
The behaviour should be same for `int` and `float` dtypes. Hence for uniformity, I am adding validation for same at python level itself.
Attaching gist for same.
This is effecting `keras.initializers.RandomUniform` also which was discussed in tf-kears repo at #[449](https://github.com/keras-team/tf-keras/issues/449)
Copybara import of the project:
--
a4687946257fe104f393dc65a9b024a82b9955ee by Surya <[email protected]>:
Validate argument minvalue of tf.random.uniform
At present the API, tf.random.uniform raises InvalidArgumentError if minval>=maxval for int dtype only. This check happens in C++ backend for int data type only.
However same is not true for float datatype. It will not raise an error and , It will consider a range ignoring min and max values in this case.
The behaviour should be same for int and float dtypes.Hence I am adding validation for same at python level itself.
--
6ba45e1b2a794905ca59562467b82a09a2f1c4c5 by Surya <[email protected]>:
Validated random.uniform args with check_ops
Validated random.uniform args with check_ops.
Merging this change closes #62807
FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/tensorflow/pull/62807 from tensorflow:SuryanarayanaY-patch-5 6ba45e1b2a794905ca59562467b82a09a2f1c4c5
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Update TFRT dependency to use revision
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Update TFRT dependency to use revision
http://github.com/tensorflow/runtime/commit/65a405d101e23c55eee2284125f8d607adb0c5a2.
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PR_kwDOArmXAs5pdTQn
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Add a pass that removes `stablehlo.custom_call @Sharding`.
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Add a pass that removes `stablehlo.custom_call @Sharding`.
These are the ops that originate from `tf.XlaSharding` ops, legalized by TF->StableHLO legalization passes.
These custom calls are not compatible with TFLite, so it needs to be removed before exporting to the TFLite flatbuffer.
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[mhlo] Add support for uniform_quantize and uniform_dequantize custom calls.
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[mhlo] Add support for uniform_quantize and uniform_dequantize custom calls.
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PR_kwDOArmXAs5pdNvr
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Deprecate ::tensorflow::quantization::CalibrationOptions, as it migrated to ::stablehlo::quantization::CalibrationOptions
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Deprecate ::tensorflow::quantization::CalibrationOptions, as it migrated to ::stablehlo::quantization::CalibrationOptions
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PR_kwDOArmXAs5pdJzx
| 63,579 |
Integrate LLVM at llvm/llvm-project@f1ca2a09671e
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Integrate LLVM at llvm/llvm-project@f1ca2a09671e
Updates LLVM usage to match
[f1ca2a09671e](https://github.com/llvm/llvm-project/commit/f1ca2a09671e)
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PR_kwDOArmXAs5pdJAa
| 63,578 |
[OptimizedFunctionGraphInfo] Move-construct the `FunctionLibraryDefinition` in `FromProto()`.
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[OptimizedFunctionGraphInfo] Move-construct the `FunctionLibraryDefinition` in `FromProto()`.
Previously we made two copies of the `FunctionLibraryDefinition` (outside and inside the converted `Graph`) then erased the second copy. With this change, we directly reuse the `FunctionDef` protocol buffers loaded from the original `OptimizedFunctionGraph` proto (which can be several GB in size).
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PR_kwDOArmXAs5pdB7k
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[xla-auto-sharding] Move implementation of CostGraph methods to .cc file.
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[xla-auto-sharding] Move implementation of CostGraph methods to .cc file.
Notes:
- Create auto_sharding_cost_graph.cc and move CostGraph implementations there.
- Make ToString() a const method.
- Make most pass-by-value arguments const.
- Add TODO to make class members private.
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PR_kwDOArmXAs5pdBqN
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Add `gpu_h100` backend to the `tf_xla_py_test` build macro.
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Add `gpu_h100` backend to the `tf_xla_py_test` build macro.
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I_kwDOArmXAs6CHgcj
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tf.tensor_scatter_nd_update lead to a program abortion when receiving a 3d indices
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[
"Did you find the way to handle this? @maybeLee ",
"Hi @seawaylee, it seems that a pr is initiated https://github.com/tensorflow/tensorflow/pull/63725",
"@maybeLee,\r\nThe PR https://github.com/tensorflow/tensorflow/pull/63725 which was raised was closed and mentioned that \r\n``` python\r\nThe assert that should fail is the last one, which has an equality assertion on the sizes of updates.shape == batch_shape + inner_shape\r\n```\r\n\r\nhttps://github.com/tensorflow/tensorflow/pull/63725\r\n\r\nCould you please take a look and provide the context to fulfill and get the PR merged. Thank you!"
] | 2024-03-13T02:41:44 | 2024-06-10T10:59:18 | null |
NONE
| null | null | null |
### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
Yes
### Source
source
### TensorFlow version
2.15.0
### Custom code
Yes
### OS platform and distribution
_No response_
### Mobile device
_No response_
### Python version
3.9
### Bazel version
_No response_
### GCC/compiler version
_No response_
### CUDA/cuDNN version
_No response_
### GPU model and memory
_No response_
### Current behavior?
Hi, when I am using the tf.tensor_scatter_nd_update with a 3d indices, it leads to a program abortion with the error message mentioning:
```
tensorflow/core/framework/tensor_shape.cc:357] Check failed: d < dims() (1 vs. 1)
```
It seems that the issue occurs in this line:
https://github.com/tensorflow/tensorflow/blob/42eb06b2830b07ee78bc25b16be003e356f2f3ff/tensorflow/core/framework/tensor_shape.cc#L357
### Standalone code to reproduce the issue
```shell
import tensorflow as tf
input = tf.constant([248, 225])
indices = tf.constant([[[1]]])
updates = tf.constant([16])
tf.tensor_scatter_nd_update(input, indices, updates)
```
```
### Relevant log output
_No response_
|
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PR_kwDOArmXAs5pcysQ
| 63,574 |
[JAX] Convert stablehlo to MLIR bytecode, not an MLIR string.
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[JAX] Convert stablehlo to MLIR bytecode, not an MLIR string.
Bytecode is considerably more compact.
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PR_kwDOArmXAs5pcybo
| 63,573 |
#tf-data Test symbolic checkpoints in BatchGlobalShuffleCheckpointTest.
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#tf-data Test symbolic checkpoints in BatchGlobalShuffleCheckpointTest.
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I_kwDOArmXAs6CHHj-
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Errors running `bazel run tensorflow/examples/speech_commands:train`
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[
"@gamename By seeing this issue it seems like Bazel is trying to configure a Python interpreter (py_runtime rule) but encounters an error because the provided interpreter_path is not an absolute path. An absolute path specifies the complete location of a file or directory, starting from the root of the filesystem (e.g., /usr/bin/python). \r\nIf you have a virtual environment with Python installed, please ensure the virtual environment path is added to your system's PATH environment variable. This allows Bazel to find the interpreter within the virtual environment.\r\nThank you!",
"> @gamename By seeing this issue it seems like Bazel is trying to configure a Python interpreter (py_runtime rule) but encounters an error because the provided interpreter_path is not an absolute path. An absolute path specifies the complete location of a file or directory, starting from the root of the filesystem (e.g., /usr/bin/python). If you have a virtual environment with Python installed, please ensure the virtual environment path is added to your system's PATH environment variable. This allows Bazel to find the interpreter within the virtual environment. Thank you!\r\n\r\nI tried that. Here are the results:\r\n```\r\nexport PATH=/Users/tennis/src/tflite-micro-fork/.venv/bin:${PATH} \r\n\r\n(.venv) ╭─tennis@tennismbp2021 ~/src/tflite-micro-fork/tensorflow/lite/micro/examples/micro_speech/tensorflow ‹master*› \r\n╰─➤ bazel run tensorflow/examples/speech_commands:train -- --data_dir=/tmp/samples --wanted_words=meow\r\nStarting local Bazel server and connecting to it...\r\nINFO: Reading 'startup' options from /Users/tennis/src/tflite-micro-fork/tensorflow/lite/micro/examples/micro_speech/tensorflow/.bazelrc: --windows_enable_symlinks\r\nINFO: Options provided by the client:\r\n Inherited 'common' options: --isatty=1 --terminal_columns=271\r\nINFO: Reading rc options for 'run' from /Users/tennis/src/tflite-micro-fork/tensorflow/lite/micro/examples/micro_speech/tensorflow/.bazelrc:\r\n Inherited 'common' options: --experimental_repo_remote_exec\r\nINFO: Reading rc options for 'run' from /Users/tennis/src/tflite-micro-fork/tensorflow/lite/micro/examples/micro_speech/tensorflow/.bazelrc:\r\n Inherited 'build' options: --python_path=/Users/tennis/src/tflite-micro-fork/.venv/bin/python --define framework_shared_object=true --define tsl_protobuf_header_only=true --define=use_fast_cpp_protos=true --define=allow_oversize_protos=true --spawn_strategy=standalone -c opt --announce_rc --define=grpc_no_ares=true --noincompatible_remove_legacy_whole_archive --features=-force_no_whole_archive --enable_platform_specific_config --define=with_xla_support=true --config=short_logs --config=v2 --define=no_aws_support=true --define=no_hdfs_support=true --experimental_cc_shared_library --experimental_link_static_libraries_once=false --incompatible_enforce_config_setting_visibility\r\nINFO: Found applicable config definition build:short_logs in file /Users/tennis/src/tflite-micro-fork/tensorflow/lite/micro/examples/micro_speech/tensorflow/.bazelrc: --output_filter=DONT_MATCH_ANYTHING\r\nINFO: Found applicable config definition build:v2 in file /Users/tennis/src/tflite-micro-fork/tensorflow/lite/micro/examples/micro_speech/tensorflow/.bazelrc: --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1\r\nINFO: Found applicable config definition build:macos in file /Users/tennis/src/tflite-micro-fork/tensorflow/lite/micro/examples/micro_speech/tensorflow/.bazelrc: --apple_platform_type=macos --copt=-DGRPC_BAZEL_BUILD --features=archive_param_file --copt=-w --define=PREFIX=/usr --define=LIBDIR=$(PREFIX)/lib --define=INCLUDEDIR=$(PREFIX)/include --define=PROTOBUF_INCLUDE_PATH=$(PREFIX)/include --cxxopt=-std=c++17 --host_cxxopt=-std=c++17 --config=no_tfrt\r\nINFO: Found applicable config definition build:no_tfrt in file /Users/tennis/src/tflite-micro-fork/tensorflow/lite/micro/examples/micro_speech/tensorflow/.bazelrc: --deleted_packages=tensorflow/compiler/mlir/tfrt,tensorflow/compiler/mlir/tfrt/benchmarks,tensorflow/compiler/mlir/tfrt/ir,tensorflow/compiler/mlir/tfrt/ir/mlrt,tensorflow/compiler/mlir/tfrt/jit/python_binding,tensorflow/compiler/mlir/tfrt/jit/transforms,tensorflow/compiler/mlir/tfrt/python_tests,tensorflow/compiler/mlir/tfrt/tests,tensorflow/compiler/mlir/tfrt/tests/ifrt,tensorflow/compiler/mlir/tfrt/tests/mlrt,tensorflow/compiler/mlir/tfrt/tests/ir,tensorflow/compiler/mlir/tfrt/tests/analysis,tensorflow/compiler/mlir/tfrt/tests/jit,tensorflow/compiler/mlir/tfrt/tests/lhlo_to_tfrt,tensorflow/compiler/mlir/tfrt/tests/lhlo_to_jitrt,tensorflow/compiler/mlir/tfrt/tests/tf_to_corert,tensorflow/compiler/mlir/tfrt/tests/tf_to_tfrt_data,tensorflow/compiler/mlir/tfrt/tests/saved_model,tensorflow/compiler/mlir/tfrt/transforms/lhlo_gpu_to_tfrt_gpu,tensorflow/compiler/mlir/tfrt/transforms/mlrt,tensorflow/core/runtime_fallback,tensorflow/core/runtime_fallback/conversion,tensorflow/core/runtime_fallback/kernel,tensorflow/core/runtime_fallback/opdefs,tensorflow/core/runtime_fallback/runtime,tensorflow/core/runtime_fallback/util,tensorflow/core/runtime_fallback/test,tensorflow/core/runtime_fallback/test/gpu,tensorflow/core/runtime_fallback/test/saved_model,tensorflow/core/runtime_fallback/test/testdata,tensorflow/core/tfrt/stubs,tensorflow/core/tfrt/tfrt_session,tensorflow/core/tfrt/mlrt,tensorflow/core/tfrt/mlrt/attribute,tensorflow/core/tfrt/mlrt/kernel,tensorflow/core/tfrt/mlrt/bytecode,tensorflow/core/tfrt/mlrt/interpreter,tensorflow/compiler/mlir/tfrt/translate/mlrt,tensorflow/compiler/mlir/tfrt/translate/mlrt/testdata,tensorflow/core/tfrt/gpu,tensorflow/core/tfrt/run_handler_thread_pool,tensorflow/core/tfrt/runtime,tensorflow/core/tfrt/saved_model,tensorflow/core/tfrt/graph_executor,tensorflow/core/tfrt/saved_model/tests,tensorflow/core/tfrt/tpu,tensorflow/core/tfrt/utils,tensorflow/core/tfrt/utils/debug,tensorflow/core/tfrt/saved_model/python,tensorflow/core/tfrt/graph_executor/python,tensorflow/core/tfrt/saved_model/utils\r\nERROR: /private/var/tmp/_bazel_tennis/9b1596b47e19cf4bba1df8b221bea14c/external/local_config_python/BUILD:16:11: in py_runtime rule @@local_config_python//:py3_runtime: \r\nTraceback (most recent call last):\r\n File \"/virtual_builtins_bzl/common/python/py_runtime_rule.bzl\", line 40, column 17, in _py_runtime_impl\r\nError in fail: interpreter_path must be an absolute path\r\nERROR: /private/var/tmp/_bazel_tennis/9b1596b47e19cf4bba1df8b221bea14c/external/local_config_python/BUILD:16:11: Analysis of target '@@local_config_python//:py3_runtime' failed\r\nINFO: Repository pypi__build instantiated at:\r\n /Users/tennis/src/tflite-micro-fork/tensorflow/lite/micro/examples/micro_speech/tensorflow/WORKSPACE:61:10: in <toplevel>\r\n /private/var/tmp/_bazel_tennis/9b1596b47e19cf4bba1df8b221bea14c/external/rules_python/python/pip.bzl:150:29: in pip_parse\r\n /private/var/tmp/_bazel_tennis/9b1596b47e19cf4bba1df8b221bea14c/external/rules_python/python/pip_install/repositories.bzl:148:14: in pip_install_dependencies\r\n /private/var/tmp/_bazel_tennis/9b1596b47e19cf4bba1df8b221bea14c/external/bazel_tools/tools/build_defs/repo/utils.bzl:240:18: in maybe\r\nRepository rule http_archive defined at:\r\n /private/var/tmp/_bazel_tennis/9b1596b47e19cf4bba1df8b221bea14c/external/bazel_tools/tools/build_defs/repo/http.bzl:381:31: in <toplevel>\r\nINFO: Repository rules_proto instantiated at:\r\n /Users/tennis/src/tflite-micro-fork/tensorflow/lite/micro/examples/micro_speech/tensorflow/WORKSPACE:92:14: in <toplevel>\r\n /Users/tennis/src/tflite-micro-fork/tensorflow/lite/micro/examples/micro_speech/tensorflow/tensorflow/workspace0.bzl:114:17: in workspace\r\nRepository rule http_archive defined at:\r\n /private/var/tmp/_bazel_tennis/9b1596b47e19cf4bba1df8b221bea14c/external/bazel_tools/tools/build_defs/repo/http.bzl:381:31: in <toplevel>\r\nERROR: Analysis of target '//tensorflow/examples/speech_commands:train' failed; build aborted: Analysis failed\r\nINFO: Elapsed time: 2.830s, Critical Path: 0.02s\r\nINFO: 1 process: 1 internal.\r\nERROR: Build did NOT complete successfully\r\nERROR: Build failed. Not running target\r\nFAILED: \r\n Fetching repository @@local_config_apple_cc; starting\r\n Fetching repository @@pypi_numpy; Restarting.\r\n Fetching https://files.pythonhosted.org/packages/58/91/17b00d5fac63d3dca605f1b8269ba3c65e98059e1fd99d00283e42a454f0/build-0.10.0-py3-none-any.whl\r\n Fetching https://storage.googleapis.com/mirror.tensorflow.org/github.com/bazelbuild/rules_proto/archive/11bf7c25e666dd7ddacbcd4d4c4a9de7a25175f8.tar.gz\r\n```\r\n\r\n\r\n",
"I reinstalled the specified version of[ Bazel ](https://github.com/bazelbuild/bazel/releases)(built using the script instead of the generated binary package), and the issue was resolved.\"",
"Thanks. I'll do that.",
"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/63572\">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/63572\">No</a>\n"
] | 2024-03-13T00:43:13 | 2024-05-29T19:24:55 | 2024-05-29T19:24:53 |
NONE
| null | null | null |
### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
source
### TensorFlow version
v2.16.1-0-g5bc9d26649c 2.16.1
### Custom code
No
### OS platform and distribution
MacOS 14.2.1 (23C71)
### Mobile device
_No response_
### Python version
3.11.7
### Bazel version
_No response_
### GCC/compiler version
_No response_
### CUDA/cuDNN version
_No response_
### GPU model and memory
_No response_
### Current behavior?
Per [this](https://github.com/tensorflow/tensorflow/blob/f2a39038841026e3d84aa45d9cdff8f5519b0757/tensorflow/examples/speech_commands/train.py#L64) comment, when I try to run `train`, I get this output:
```INFO: Reading 'startup' options from /Users/tennis/src/tflite-micro-fork/tensorflow/lite/micro/examples/micro_speech/tensorflow/.bazelrc: --windows_enable_symlinks
INFO: Options provided by the client:
Inherited 'common' options: --isatty=1 --terminal_columns=271
INFO: Reading rc options for 'run' from /Users/tennis/src/tflite-micro-fork/tensorflow/lite/micro/examples/micro_speech/tensorflow/.bazelrc:
Inherited 'common' options: --experimental_repo_remote_exec
INFO: Reading rc options for 'run' from /Users/tennis/src/tflite-micro-fork/tensorflow/lite/micro/examples/micro_speech/tensorflow/.bazelrc:
Inherited 'build' options: --python_path=/Users/tennis/src/tflite-micro-fork/.venv/bin/python --define framework_shared_object=true --define tsl_protobuf_header_only=true --define=use_fast_cpp_protos=true --define=allow_oversize_protos=true --spawn_strategy=standalone -c opt --announce_rc --define=grpc_no_ares=true --noincompatible_remove_legacy_whole_archive --features=-force_no_whole_archive --enable_platform_specific_config --define=with_xla_support=true --config=short_logs --config=v2 --define=no_aws_support=true --define=no_hdfs_support=true --experimental_cc_shared_library --experimental_link_static_libraries_once=false --incompatible_enforce_config_setting_visibility
INFO: Found applicable config definition build:short_logs in file /Users/tennis/src/tflite-micro-fork/tensorflow/lite/micro/examples/micro_speech/tensorflow/.bazelrc: --output_filter=DONT_MATCH_ANYTHING
INFO: Found applicable config definition build:v2 in file /Users/tennis/src/tflite-micro-fork/tensorflow/lite/micro/examples/micro_speech/tensorflow/.bazelrc: --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1
INFO: Found applicable config definition build:macos in file /Users/tennis/src/tflite-micro-fork/tensorflow/lite/micro/examples/micro_speech/tensorflow/.bazelrc: --apple_platform_type=macos --copt=-DGRPC_BAZEL_BUILD --features=archive_param_file --copt=-w --define=PREFIX=/usr --define=LIBDIR=$(PREFIX)/lib --define=INCLUDEDIR=$(PREFIX)/include --define=PROTOBUF_INCLUDE_PATH=$(PREFIX)/include --cxxopt=-std=c++17 --host_cxxopt=-std=c++17 --config=no_tfrt
INFO: Found applicable config definition build:no_tfrt in file /Users/tennis/src/tflite-micro-fork/tensorflow/lite/micro/examples/micro_speech/tensorflow/.bazelrc: --deleted_packages=tensorflow/compiler/mlir/tfrt,tensorflow/compiler/mlir/tfrt/benchmarks,tensorflow/compiler/mlir/tfrt/ir,tensorflow/compiler/mlir/tfrt/ir/mlrt,tensorflow/compiler/mlir/tfrt/jit/python_binding,tensorflow/compiler/mlir/tfrt/jit/transforms,tensorflow/compiler/mlir/tfrt/python_tests,tensorflow/compiler/mlir/tfrt/tests,tensorflow/compiler/mlir/tfrt/tests/ifrt,tensorflow/compiler/mlir/tfrt/tests/mlrt,tensorflow/compiler/mlir/tfrt/tests/ir,tensorflow/compiler/mlir/tfrt/tests/analysis,tensorflow/compiler/mlir/tfrt/tests/jit,tensorflow/compiler/mlir/tfrt/tests/lhlo_to_tfrt,tensorflow/compiler/mlir/tfrt/tests/lhlo_to_jitrt,tensorflow/compiler/mlir/tfrt/tests/tf_to_corert,tensorflow/compiler/mlir/tfrt/tests/tf_to_tfrt_data,tensorflow/compiler/mlir/tfrt/tests/saved_model,tensorflow/compiler/mlir/tfrt/transforms/lhlo_gpu_to_tfrt_gpu,tensorflow/compiler/mlir/tfrt/transforms/mlrt,tensorflow/core/runtime_fallback,tensorflow/core/runtime_fallback/conversion,tensorflow/core/runtime_fallback/kernel,tensorflow/core/runtime_fallback/opdefs,tensorflow/core/runtime_fallback/runtime,tensorflow/core/runtime_fallback/util,tensorflow/core/runtime_fallback/test,tensorflow/core/runtime_fallback/test/gpu,tensorflow/core/runtime_fallback/test/saved_model,tensorflow/core/runtime_fallback/test/testdata,tensorflow/core/tfrt/stubs,tensorflow/core/tfrt/tfrt_session,tensorflow/core/tfrt/mlrt,tensorflow/core/tfrt/mlrt/attribute,tensorflow/core/tfrt/mlrt/kernel,tensorflow/core/tfrt/mlrt/bytecode,tensorflow/core/tfrt/mlrt/interpreter,tensorflow/compiler/mlir/tfrt/translate/mlrt,tensorflow/compiler/mlir/tfrt/translate/mlrt/testdata,tensorflow/core/tfrt/gpu,tensorflow/core/tfrt/run_handler_thread_pool,tensorflow/core/tfrt/runtime,tensorflow/core/tfrt/saved_model,tensorflow/core/tfrt/graph_executor,tensorflow/core/tfrt/saved_model/tests,tensorflow/core/tfrt/tpu,tensorflow/core/tfrt/utils,tensorflow/core/tfrt/utils/debug,tensorflow/core/tfrt/saved_model/python,tensorflow/core/tfrt/graph_executor/python,tensorflow/core/tfrt/saved_model/utils
ERROR: /private/var/tmp/_bazel_tennis/9b1596b47e19cf4bba1df8b221bea14c/external/local_config_python/BUILD:16:11: in py_runtime rule @@local_config_python//:py3_runtime:
Traceback (most recent call last):
File "/virtual_builtins_bzl/common/python/py_runtime_rule.bzl", line 40, column 17, in _py_runtime_impl
Error in fail: interpreter_path must be an absolute path
ERROR: /private/var/tmp/_bazel_tennis/9b1596b47e19cf4bba1df8b221bea14c/external/local_config_python/BUILD:16:11: Analysis of target '@@local_config_python//:py3_runtime' failed
ERROR: Analysis of target '//tensorflow/examples/speech_commands:train' failed; build aborted: Analysis failed
INFO: Elapsed time: 0.104s, Critical Path: 0.00s
INFO: 1 process: 1 internal.
ERROR: Build did NOT complete successfully
ERROR: Build failed. Not running target
```
I've tried passing the python absolute path in the invocation. That didn't work either.
### Standalone code to reproduce the issue
```shell
See above
```
### Relevant log output
```shell
See above
```
|
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PR_kwDOArmXAs5pcn9d
| 63,571 |
Internal visibility changes.
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[] | 2024-03-13T00:43:00 | 2024-04-10T19:08:37 | 2024-04-10T19:08:35 |
NONE
| null | true |
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PR_kwDOArmXAs5pcj4A
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PR #9531: Fp8 matmul support on AMD MI300
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PR #9531: Fp8 matmul support on AMD MI300
Imported from GitHub PR https://github.com/openxla/xla/pull/9531
This PR enables support of fp8 matmul (with fp8e4m3fnuz and fp8e5m2fnuz) on MI300.
It is based off this previous PR to fix build break on ROCm (which is still open): https://github.com/openxla/xla/pull/9367
Some of the GEMM pattern rewrites were changed to accommodate current limitations in hipblasLt:
- hipblasLt currently does not support fp8 matmul with fp8 output. Therefore, it is rewritten to custom call of fp8 matmul with fp32 output, and HLO instructions are used to convert fp32 output to fp8.
- hipblasLt currently does not support fp8 matmul with bf16 output. Therefore, it is rewritten to custom call of fp8 matmul with fp32 output, and HLO instructions are used to convert fp32 output to bf16.
Copybara import of the project:
--
942f93f5187d3706bbe74d78766914ab84f33bb9 by Wen Chen <[email protected]>:
[ROCM] Initial support of fp8 Matmul via hipBlasLt.
--
d8d45593ec4e40f391421d3a44890c6ae2d6f2f5 by Wen Chen <[email protected]>:
[ROCM] Code refactoring of initial hipBlasLt fp8 Matmul support
- Clean up unnecessary code, particularly regarding output types of fp8
- Override methods in ParameterizedFp8GemmRewriteTest to replace the
patterns for CUDA and ROCm respectively for HLO checks.
- Explicitly set c_scale and d_scale to nullptr as hipblasLt currently
does not support them.
Merging this change closes #9531
FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/openxla/xla/pull/9531 from ROCm:ci_fp8_gemm_support a4423f9136072f090494baff91bd87d3ab4d4069
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PR_kwDOArmXAs5pcjEj
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#tf-data Support global shuffle for the Tensor slices dataset.
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#tf-data Support global shuffle for the Tensor slices dataset.
FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/tensorflow/pull/62782 from DanielYang59:warn-shuffle 134fc245a3f6c9362b04ba8dff3b84e703401549
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PR_kwDOArmXAs5pci7k
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Stop constant folding if the result is larger than the threshold for dynamic shaped operations as well
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Stop constant folding if the result is larger than the threshold for dynamic shaped operations as well
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PR_kwDOArmXAs5pcV6A
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Rename more functions
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Rename more functions
Rename TPU to Replicated in more functions in TF2XLA MLIR phase 1 bridge.
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PR_kwDOArmXAs5pcUl-
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PR #10395: Handle missing collective_permute in collective-permute-motion
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PR #10395: Handle missing collective_permute in collective-permute-motion
Imported from GitHub PR https://github.com/openxla/xla/pull/10395
Currently, the `MoveCollectivePermutes` function expects that if `FindMovableClusterAtBodyRoot` function returns a cluster, then the cluster's `collective_permute` field is not null. However, if `FindMovableClusterAtBodyRoot` does not find a collective_permute on when traversing an input, it happily returns cluster with `collective_permute == null`. This patch just returns `nullopt` for a 'cluster' without collective-permute.
Fixes #10394.
Copybara import of the project:
--
bf69727505c62b0bba36ad28ddaad36f07f816e3 by Jaroslav Sevcik <[email protected]>:
Handle missing collective_permute
Merging this change closes #10395
FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/openxla/xla/pull/10395 from jaro-sevcik:collective-permute-motion-fix bf69727505c62b0bba36ad28ddaad36f07f816e3
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PR_kwDOArmXAs5pcUHi
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shlo_ref: Fix OSS and Android builds
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In OSS, we need to use appropriate polyfills and extra link options for android builds.
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Move `tsl/mkl/*` to `xla/tsl/mkl/`
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Move `tsl/mkl/*` to `xla/tsl/mkl/`
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Update MLIR owners
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Update MLIR owners
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PR_kwDOArmXAs5pcLVL
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PR #9246: Perform elementwise BF16 math natively in platforms that support it.
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PR #9246: Perform elementwise BF16 math natively in platforms that support it.
Imported from GitHub PR https://github.com/openxla/xla/pull/9246
Perform elementwise BF16 math natively in platforms that support it, e.g., Hopper GPUs.
In xla/service/gpu, we check the platform using Cuda compute capability. We don't have access to that in llvm_ir, so we pass an optional bool to say whether native BF16 support is there. We make it optional with default to false, to avoid a very large refactoring that would touch most functions in llvm_ir.
Copybara import of the project:
--
4376a642bd6bbf9d553bd6b030cdebf9efb9a97b by Dimitris Vardoulakis <[email protected]>:
Perform elementwise BF16 math natively in platforms that support it, e.g., Hopper GPUs.
After Ben's recent change to not substitute i16 for BF16 in llvm, the only change needed is to enable BF16 in gpu_float_support.
Merging this change closes #9246
FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/openxla/xla/pull/9246 from dimvar:native-bf16-support-hopper 4376a642bd6bbf9d553bd6b030cdebf9efb9a97b
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PR_kwDOArmXAs5pcKsh
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[xla:gpu] Fixed alignment/aliasing logic in EmitTritonCustomCall
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[xla:gpu] Fixed alignment/aliasing logic in EmitTritonCustomCall
Prior to this change we were removing the attributes from the wrong function!
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PR_kwDOArmXAs5pcJFK
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Update tpose optimizations to handle broadcasted scalar. Cleanup code by splitting the two cases into different patterns.
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Update tpose optimizations to handle broadcasted scalar. Cleanup code by splitting the two cases into different patterns.
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PR_kwDOArmXAs5pcIO0
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PR #10050: [ROCm] Don't use dsabled nodes as command buffer barriers
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PR #10050: [ROCm] Don't use dsabled nodes as command buffer barriers
Imported from GitHub PR https://github.com/openxla/xla/pull/10050
Using disabled kernel node as a root of the graph may cause stream to desynchronize.
Copybara import of the project:
--
d70da0531db5e9777765cceadb648c5a1c4e6309 by Dragan Mladjenovic <[email protected]>:
[ROCm] Don't use dsabled nodes as command buffer barriers
Using disabled kernel node as a root of the graph may cause
stream to desynchronize.
Merging this change closes #10050
FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/openxla/xla/pull/10050 from ROCm:cmd_barrier d70da0531db5e9777765cceadb648c5a1c4e6309
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PR #10244: Add sycl build target
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PR #10244: Add sycl build target
Imported from GitHub PR https://github.com/openxla/xla/pull/10244
It is a sub PR of https://github.com/openxla/xla/pull/9042.
Then we can build xla with sycl support like: `bazel build --config=sycl xxx`
Copybara import of the project:
--
e1bc7ac90f3403a477ba14533dea972de6a2c262 by Sheng, Yang <[email protected]>:
Add sycl build target
Merging this change closes #10244
FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/openxla/xla/pull/10244 from Intel-tensorflow:yang/syclbuild e1bc7ac90f3403a477ba14533dea972de6a2c262
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PR_kwDOArmXAs5pcGwP
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PR #10371: [ROCm] Add Reshape and Convert mover hlo passes to AMDGPU compiler
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PR #10371: [ROCm] Add Reshape and Convert mover hlo passes to AMDGPU compiler
Imported from GitHub PR https://github.com/openxla/xla/pull/10371
Copybara import of the project:
--
f1681ef8661187c2bbd3715dc35c7af03fdbe229 by Harsha HS <[email protected]>:
Add Reshape and Convert mover hlo passes
Merging this change closes #10371
FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/openxla/xla/pull/10371 from ROCm:ci_reshapemover_20240308 f1681ef8661187c2bbd3715dc35c7af03fdbe229
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PR_kwDOArmXAs5pcFLO
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Sharding host_offload_legalize_test due to test timeout. Issue is due to ParseAndReturnVerifiedModule taking a long time to parse the test's input HLO
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Sharding host_offload_legalize_test due to test timeout. Issue is due to ParseAndReturnVerifiedModule taking a long time to parse the test's input HLO
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PR #10433: Fixes type annotation overload of `dlpack_managed_tensor_to_buffer` in `python/xla_extension`
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PR #10433: Fixes type annotation overload of `dlpack_managed_tensor_to_buffer` in `python/xla_extension`
Imported from GitHub PR https://github.com/openxla/xla/pull/10433
Encountered bug in https://github.com/google/jax/pull/20175 (see this [comment](https://github.com/google/jax/pull/20175#issuecomment-1989572870)).
This adjusts the stub file to properly overload `dlpack_managed_tensor_to_buffer` so that both signatures can be checked against.
Copybara import of the project:
--
75cabb5149b4a0bdd9e819fac0ea6a0ba756bff6 by Meekail Zain <[email protected]>:
Update
Merging this change closes #10433
FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/openxla/xla/pull/10433 from Micky774:type_update 75cabb5149b4a0bdd9e819fac0ea6a0ba756bff6
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Add criticality to the BatchTask and add the ScopedCriticality wrapper to allow testing criticality.
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PR_kwDOArmXAs5pbyyU
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testing bazel PR deps
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Add XlaBroadcastPass into ReplicatedBridgeClusteringPipelinePasses
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Add XlaBroadcastPass into ReplicatedBridgeClusteringPipelinePasses
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Fix a build rule bug.
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Fix a build rule bug.
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Integrate Triton up to [61be8e79](https://github.com/openai/triton/commit/61be8e792f206366f5ab2fe66d8984e97acc7324)
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Integrate Triton up to [61be8e79](https://github.com/openai/triton/commit/61be8e792f206366f5ab2fe66d8984e97acc7324)
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Add a metric to track lazy loading
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[
"I can verify this bug is not present in 2.15.1. Nor is it present in `tf-nightly==2.17.0.dev20240312` with `keras-nightly==3.1.0.dev2024031203`",
"Same issue, even simpler example:\r\n\r\n- Python: 3.12.2\r\n- TensorFlow: 2.16.0rc0, 2.16.1, and 2.17.0-dev20240312\r\n\r\n```\r\nimport tensorflow as tf\r\npretrained_model = tf.keras.applications.MobileNet()\r\ntf.saved_model.save(pretrained_model, \"mobilenet\")\r\n```\r\n\r\n```\r\nTypeError: this __dict__ descriptor does not support '_DictWrapper' objects\r\n```\r\n\r\nTensorFlow 2.16.0rc0 and 2.16.1 are the only `tensorflow` versions currently available using pip install.",
"I am having the exact same issue. ",
"@darrina yeah the only workaround we have right now is `tf-nightly` to enable model saving w/ py3.12... but that's obviously not a viable workaround for production use.",
"Running into a similar issue.",
"Hi **@iamthebot** ,\r\n\r\nSorry for the delay, I tried to run your code on Colab using TF v2.15 and 2.16, But I don't faced any issue here. Could you check again. Please find the [gist](https://colab.sandbox.google.com/gist/Venkat6871/04ff6ee23dac41d21c5928c66a3decc6/63548_2-15-2-16.ipynb) here for reference.\r\n\r\nThank you!",
"@Venkat6871 I have similar issue and I think the issue is with python 3.12, with python 3.11 it works",
"I confirm this to be linked to python 3.12.\r\n\r\nI tested tensorflow 2.16, 2.16.1 and 2.17.0.dev20240317. There problem occured with all of them.",
"@Venkat6871 yep looks like Python 3.12 is required to reproduce this issue. Your collab is running Python 3.10.",
"By the way disabling wrapt by setting an environment variable `WRAPT_DISABLE_EXTENSIONS` (as hinted by wrapt developer https://github.com/GrahamDumpleton/wrapt/issues/231#issuecomment-1455800902) will make the scripts run as expected:\r\n\r\n```bash\r\nWRAPT_DISABLE_EXTENSIONS=1 python3 python_script.py\r\n```\r\n\r\nIt seems to be caused by a fix in the C extension of wrapt which was not adopted yet by tensorflow: https://github.com/GrahamDumpleton/wrapt/issues/231",
"same issue for me...\r\n\r\n```python\r\nimport sys\r\nprint(sys.version_info)\r\nsys.version_info(major=3, minor=12, micro=3, releaselevel='final', serial=0)\r\nprint(tf.__version__)\r\n2.16.1\r\n```",
"> @Venkat6871 yep looks like Python 3.12 is required to reproduce this issue. Your collab is running Python 3.10.\r\n\r\nit also happens using newer versions of typing_extensions on <3.12. Happened for me on 3.9 with typing_extensions=4.12, even on tensorflow 2.15 and wrapt < 1.15. Is this issue being looked into? "
] | 2024-03-12T19:52:24 | 2024-05-30T00:29:02 | null |
NONE
| null | null | null |
### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
No (bug doesn't exist in tf-nightly 2.17.0.dev20240312)
### Source
source
### TensorFlow version
v2.16.1
### Custom code
Yes
### OS platform and distribution
OSX
### Mobile device
_No response_
### Python version
3.12
### Bazel version
_No response_
### GCC/compiler version
_No response_
### CUDA/cuDNN version
_No response_
### GPU model and memory
_No response_
### Current behavior?
When calling ` tf.saved_model.save(model, saved_model_path)`
we see:
```
../../../../miniforge3/envs/local--bighead--v0.0.1/lib/python3.12/site-packages/tensorflow/python/saved_model/save.py:190: in list_children
for name, child in super(_AugmentedGraphView, self).list_children(
../../../../miniforge3/envs/local--bighead--v0.0.1/lib/python3.12/site-packages/tensorflow/python/checkpoint/graph_view.py:75: in list_children
for name, ref in super(ObjectGraphView,
../../../../miniforge3/envs/local--bighead--v0.0.1/lib/python3.12/site-packages/tensorflow/python/checkpoint/trackable_view.py:85: in children
ref = converter.convert_to_trackable(ref, parent=obj)
../../../../miniforge3/envs/local--bighead--v0.0.1/lib/python3.12/site-packages/tensorflow/python/trackable/converter.py:31: in convert_to_trackable
if (tensor_util.is_tf_type(obj) and
../../../../miniforge3/envs/local--bighead--v0.0.1/lib/python3.12/site-packages/tensorflow/python/framework/tensor_util.py:1156: in is_tf_type
return isinstance(x, tf_type_classes)
../../../../miniforge3/envs/local--bighead--v0.0.1/lib/python3.12/typing.py:1871: in __instancecheck__
val = getattr_static(instance, attr)
../../../../miniforge3/envs/local--bighead--v0.0.1/lib/python3.12/inspect.py:1839: in getattr_static
instance_result = _check_instance(obj, attr)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
obj = DictWrapper({'input_shape': [(None, 16), (None, 32)]}), attr = 'is_tensor_like'
def _check_instance(obj, attr):
instance_dict = {}
try:
> instance_dict = object.__getattribute__(obj, "__dict__")
E TypeError: this __dict__ descriptor does not support '_DictWrapper' objects
../../../../miniforge3/envs/local--bighead--v0.0.1/lib/python3.12/inspect.py:1793: TypeError
```
I suspect this is related to #59869 which was supposedly fixed. However, in 2.16.1 TF removes the pin on wrapt and the issue indeed persists. I've even tried downgrading wrapt to 1.14.1 and the issue remains.
### Standalone code to reproduce the issue
```shell
import tensorflow as tf
from tensorflow.keras import layers
import tempfile
def get_two_tower_models():
online_features = [layers.Input(shape=(32,)), layers.Input(shape=(16,))]
offline_features = [layers.Input(shape=(16,)), layers.Input(shape=(32,))]
all_features = []
all_features.extend(online_features)
all_features.extend(offline_features)
def get_offline_tower(offline_features):
offline_inputs = layers.concatenate(offline_features, name="offline_concatenated")
offline_hidden = layers.Dense(32, activation="tanh", name="offline_hidden_1")(offline_inputs)
offline_hidden = layers.Dense(16, activation="tanh", name="offline_hidden_2")(offline_hidden)
offline_final_embed = layers.Dense(8, name="offline_hidden_3")(offline_hidden)
return offline_final_embed
def get_online_tower(online_features):
online_inputs = layers.concatenate(online_features, name="online_concatenated")
online_hidden = layers.Dense(32, activation="tanh", name="online_hidden_1")(online_inputs)
online_hidden = layers.Dense(16, activation="tanh", name="online_hidden_2")(online_hidden)
online_final_embed = layers.Dense(8, name="online_hidden_3")(online_hidden)
return online_final_embed
offline_tower_embed = get_offline_tower(offline_features)
online_tower_embed = get_online_tower(online_features)
# We normalize vectors with L2 norm to make sure we get the cosine similarity
offline_online_dot = layers.Dot(axes=1, normalize=True)([offline_tower_embed, online_tower_embed])
offline_tower_model = tf.keras.Model(inputs=offline_features, outputs=offline_tower_embed)
online_tower_model = tf.keras.Model(inputs=online_features, outputs=online_tower_embed)
full_model = tf.keras.Model(inputs=all_features, outputs=offline_online_dot)
return (full_model, offline_tower_model, online_tower_model)
full_model, offline_tower_model, online_tower_model = get_two_tower_models()
with tempfile.TemporaryDirectory() as tmpdirname:
tf.saved_model.save(online_tower_model, tmpdirname)
```
```
### Relevant log output
```shell
Traceback (most recent call last):
File "/Users/alfredo_luque/repos/git.musta.ch/airbnb/bighead-service/packages/ml-frameworks/tensorflow/tests/minimal_repro.py", line 44, in <module>
tf.saved_model.save(online_tower_model, tmpdirname)
File "/Users/alfredo_luque/miniforge3/envs/local--bighead--v0.0.1/lib/python3.12/site-packages/tensorflow/python/saved_model/save.py", line 1392, in save
save_and_return_nodes(obj, export_dir, signatures, options)
File "/Users/alfredo_luque/miniforge3/envs/local--bighead--v0.0.1/lib/python3.12/site-packages/tensorflow/python/saved_model/save.py", line 1427, in save_and_return_nodes
_build_meta_graph(obj, signatures, options, meta_graph_def))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/alfredo_luque/miniforge3/envs/local--bighead--v0.0.1/lib/python3.12/site-packages/tensorflow/python/saved_model/save.py", line 1642, in _build_meta_graph
return _build_meta_graph_impl(obj, signatures, options, meta_graph_def)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/alfredo_luque/miniforge3/envs/local--bighead--v0.0.1/lib/python3.12/site-packages/tensorflow/python/saved_model/save.py", line 1564, in _build_meta_graph_impl
saveable_view = _SaveableView(augmented_graph_view, options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/alfredo_luque/miniforge3/envs/local--bighead--v0.0.1/lib/python3.12/site-packages/tensorflow/python/saved_model/save.py", line 285, in __init__
checkpoint_util.objects_ids_and_slot_variables_and_paths(
File "/Users/alfredo_luque/miniforge3/envs/local--bighead--v0.0.1/lib/python3.12/site-packages/tensorflow/python/checkpoint/util.py", line 160, in objects_ids_and_slot_variables_and_paths
trackable_objects, node_paths = graph_view.breadth_first_traversal()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/alfredo_luque/miniforge3/envs/local--bighead--v0.0.1/lib/python3.12/site-packages/tensorflow/python/checkpoint/graph_view.py", line 124, in breadth_first_traversal
return self._breadth_first_traversal()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/alfredo_luque/miniforge3/envs/local--bighead--v0.0.1/lib/python3.12/site-packages/tensorflow/python/saved_model/save.py", line 156, in _breadth_first_traversal
super(_AugmentedGraphView, self)._breadth_first_traversal())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/alfredo_luque/miniforge3/envs/local--bighead--v0.0.1/lib/python3.12/site-packages/tensorflow/python/checkpoint/graph_view.py", line 128, in _breadth_first_traversal
return super(ObjectGraphView, self)._descendants_with_paths()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/alfredo_luque/miniforge3/envs/local--bighead--v0.0.1/lib/python3.12/site-packages/tensorflow/python/checkpoint/trackable_view.py", line 111, in _descendants_with_paths
for name, dependency in self.children(current_trackable).items():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/alfredo_luque/miniforge3/envs/local--bighead--v0.0.1/lib/python3.12/site-packages/tensorflow/python/checkpoint/graph_view.py", line 97, in children
for name, ref in self.list_children(obj, **kwargs):
File "/Users/alfredo_luque/miniforge3/envs/local--bighead--v0.0.1/lib/python3.12/site-packages/tensorflow/python/saved_model/save.py", line 190, in list_children
for name, child in super(_AugmentedGraphView, self).list_children(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/alfredo_luque/miniforge3/envs/local--bighead--v0.0.1/lib/python3.12/site-packages/tensorflow/python/checkpoint/graph_view.py", line 75, in list_children
for name, ref in super(ObjectGraphView,
^^^^^^^^^^^^^^^^^^^^^^
File "/Users/alfredo_luque/miniforge3/envs/local--bighead--v0.0.1/lib/python3.12/site-packages/tensorflow/python/checkpoint/trackable_view.py", line 85, in children
ref = converter.convert_to_trackable(ref, parent=obj)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/alfredo_luque/miniforge3/envs/local--bighead--v0.0.1/lib/python3.12/site-packages/tensorflow/python/trackable/converter.py", line 31, in convert_to_trackable
if (tensor_util.is_tf_type(obj) and
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/alfredo_luque/miniforge3/envs/local--bighead--v0.0.1/lib/python3.12/site-packages/tensorflow/python/framework/tensor_util.py", line 1156, in is_tf_type
return isinstance(x, tf_type_classes)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/alfredo_luque/miniforge3/envs/local--bighead--v0.0.1/lib/python3.12/typing.py", line 1871, in __instancecheck__
val = getattr_static(instance, attr)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/alfredo_luque/miniforge3/envs/local--bighead--v0.0.1/lib/python3.12/inspect.py", line 1839, in getattr_static
instance_result = _check_instance(obj, attr)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/alfredo_luque/miniforge3/envs/local--bighead--v0.0.1/lib/python3.12/inspect.py", line 1793, in _check_instance
instance_dict = object.__getattribute__(obj, "__dict__")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: this __dict__ descriptor does not support '_DictWrapper' objects
```
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[xla:gpu] Make Triton Fusion Analysis accept matrix-vector multiplication
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[xla:gpu] Make Triton Fusion Analysis accept matrix-vector multiplication
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PR_kwDOArmXAs5pbW6F
| 63,546 |
Add tag to host_offload_legalize_test.
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Add tag to host_offload_legalize_test.
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| 2,182,526,985 |
PR_kwDOArmXAs5pbVNq
| 63,545 |
#tf-data-service Merge duplicate method `GetIteratorContextWithIndexMapper`.
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#tf-data-service Merge duplicate method `GetIteratorContextWithIndexMapper`.
Also add a simple class to select the right `IteratorContext` when index
shuffling is needed.
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PR_kwDOArmXAs5pbSfr
| 63,544 |
Add tf.keras.metrics.Variance
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[
"Hi @JackGammack It looks like your PR relates to the Keras component. Please submit it to the github.com/keras-team/keras repository instead. Thankyou.\r\n@fchollet, @qlzh727"
] | 2024-03-12T19:26:12 | 2024-03-28T08:01:37 | 2024-03-28T08:01:34 |
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PR_kwDOArmXAs5pbPmk
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#shlo_ref Add `abs` op.
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#shlo_ref Add `abs` op.
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PR_kwDOArmXAs5pa6Hz
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Fix tensorboard "No Step Marker" issue in tf 2.11
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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/63542/checks?check_run_id=22577082013) 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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## Error:
No step marker observed and hence the step time is unknown
https://github.com/tensorflow/tensorboard/issues/6210
## Custom Code (simplified)
See issue description above
## Tensorflow Version
TF 2.11
## Current Behaviour
The Trace-viewer was viewable, but the overview, input pipeline analysis, etc. is not working.
## Root Cause
The bug is caused by [this commit](https://github.com/linkedin-managed/tensorflow/commit/92344c0d6839f071bd8efc956a886b3b005b774f#diff-f2a24eeb36ee2e5ea97661010814541453a895eb0ff358988b9018a9f181e332) where the [GroupTfEvents](https://github.com/linkedin-managed/tensorflow/blob/1f4433d0aa1f387a406d26c5c684f46aaaf5a3ad/tensorflow/core/profiler/utils/group_events.cc#L875) was moved from the producer side to the [PreprocessSingleHostXPlane](https://github.com/linkedin-managed/tensorflow/blob/li-2.11/tensorflow/core/profiler/convert/preprocess_single_host_xplane.cc)() (the consumer side). When there is only one XSpace, it won’t do the Grouping and preprocessing ([code](https://github.com/linkedin-managed/tensorflow/blob/d2a9c1a3499f811beb47903ccee865d971e0ec8a/tensorflow/core/profiler/convert/xplane_to_op_stats.cc#L243)), hence causing the generated op stats doesn’t have any group_id defined, and no step marker will be generated ([code](https://github.com/tensorflow/tensorflow/blob/a8eb1ad0bc1b3454652d2af82af96d9757dcf53d/tensorflow/core/profiler/convert/xplane_to_step_events.cc#L153)). The Bug was fixed in tf 2.12 by this [commit](https://github.com/tensorflow/tensorflow/commit/22f93d47c993b962422bb22a6ddf96391eafaf1c).
## Testing Done
Verified that the after the change, the tensorboard is viewable
|
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PR_kwDOArmXAs5pa4hT
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Support reading from filepath and byte data for Vertex Tensorboard profiler.
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Support reading from filepath and byte data for Vertex Tensorboard profiler.
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Do null-checking in case test binaries are run outside of `bazel test` in `resource_loader.cc`
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Do null-checking in case test binaries are run outside of `bazel test` in `resource_loader.cc`
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Support reading from filepath and byte data for Vertex Tensorboard profiler.
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Support reading from filepath and byte data for Vertex Tensorboard profiler.
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PR_kwDOArmXAs5pa05_
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[XLA:TPU] Remove redundant broadcast creation in host offloader.
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[XLA:TPU] Remove redundant broadcast creation in host offloader.
Currently, host_offloader duplicates all broadcasts for each user, i.e. a broadcast with 3 users becomes three separate broadcasts. This is to avoid offloaded DUS broadcasts from removing broadcasts with non-offloaded users. However, it creates a lot of redundant broadcast duplications.
This change only duplicates broadcasts if they are fed into DUS which are offloaded.
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PR_kwDOArmXAs5payef
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PR #8874: [GPU] Use NCCL user buffers for collective permute and all-to-all
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PR #8874: [GPU] Use NCCL user buffers for collective permute and all-to-all
Imported from GitHub PR https://github.com/openxla/xla/pull/8874
This PR enables XLA to take advantage of NCCL user buffers for ncclSend/ncclRecv when `--xla_gpu_enable_nccl_user_buffers=true` is used. Requires NCCL 2.20
Copybara import of the project:
--
98acdf27d4eba6b19652a76d3f7dcd6630349fc5 by Trevor Morris <[email protected]>:
Use NCCL user buffers for ncclSend/ncclRecv ops
--
bcc289b49bcf2086b50a86a2381ea1b80acd3dd2 by Trevor Morris <[email protected]>:
Include memory space in buffers for collective permute and send/recv
--
4a83d8906b6b5e305dad23fc1d8b9a5069637279 by Trevor Morris <[email protected]>:
Don't offload send, recv
--
0083a418c4ab119ed5a0eb061113104980476943 by Trevor Morris <[email protected]>:
Fix conditional
Merging this change closes #8874
FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/openxla/xla/pull/8874 from trevor-m:p2p-user-buffers 0083a418c4ab119ed5a0eb061113104980476943
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PR_kwDOArmXAs5pawkC
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[XLA:GPU] Add an interface to run TritonFusionAnalysis on producer-consumer fusion.
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[XLA:GPU] Add an interface to run TritonFusionAnalysis on producer-consumer fusion.
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PR_kwDOArmXAs5pawcU
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Integrate LLVM at llvm/llvm-project@08dd645c15a0
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Integrate LLVM at llvm/llvm-project@08dd645c15a0
Updates LLVM usage to match
[08dd645c15a0](https://github.com/llvm/llvm-project/commit/08dd645c15a0)
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PR_kwDOArmXAs5pawGh
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Use the new wheel building rule.
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Use the new wheel building rule.
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PR_kwDOArmXAs5paug1
| 63,533 |
Fixes tensorflow_serving continuous build.
|
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Fixes tensorflow_serving continuous build.
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PR_kwDOArmXAs5pag0S
| 63,532 |
#shlo_ref Add `floor` op.
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#shlo_ref Add `floor` op.
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| 2,182,292,007 |
PR_kwDOArmXAs5pagpO
| 63,531 |
#shlo_ref Add `log_plus_one` op.
|
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#shlo_ref Add `log_plus_one` op.
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PR_kwDOArmXAs5pagdA
| 63,530 |
#shlo_ref Add `sign` op.
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NONE
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#shlo_ref Add `sign` op.
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PR_kwDOArmXAs5pagEI
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#shlo_ref Add `negate` op.
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NONE
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#shlo_ref Add `negate` op.
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PR_kwDOArmXAs5pafzr
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#shlo_ref Add `log` op.
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#shlo_ref Add `log` op.
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PR_kwDOArmXAs5paff5
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#shlo_ref Add `logistic` op.
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NONE
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#shlo_ref Add `logistic` op.
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PR_kwDOArmXAs5pafZu
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#shlo_ref Add `exponential_minus_one` op.
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#shlo_ref Add `exponential_minus_one` op.
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PR_kwDOArmXAs5pafFt
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#shlo_ref Refactor unary element wise op tests.
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#shlo_ref Refactor unary element wise op tests.
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| 2,182,284,687 |
PR_kwDOArmXAs5pafAm
| 63,524 |
hlo_reachability: reserve indices' storage at Build() time
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hlo_reachability: reserve indices' storage at Build() time
name old time/op new time/op delta
BM_HloReachabilityBuild/1 165ns ± 0% 167ns ± 0% +0.88% (p=0.016 n=5+4)
BM_HloReachabilityBuild/64 6.27µs ± 1% 5.25µs ± 1% -16.18% (p=0.008 n=5+5)
BM_HloReachabilityBuild/128 12.9µs ± 3% 11.0µs ± 4% -15.11% (p=0.008 n=5+5)
BM_HloReachabilityBuild/256 27.3µs ± 2% 23.4µs ± 2% -14.06% (p=0.008 n=5+5)
BM_HloReachabilityBuild/512 60.0µs ± 2% 51.9µs ± 1% -13.55% (p=0.008 n=5+5)
BM_HloReachabilityBuild/4096 974µs ± 1% 901µs ± 1% -7.45% (p=0.008 n=5+5)
BM_HloReachabilityBuild/32768 42.5ms ± 1% 41.1ms ± 2% -3.17% (p=0.008 n=5+5)
BM_HloReachabilityBuild/262144 5.19s ±50% 11.10s ±159% ~ (p=0.548 n=5+5)
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PR_kwDOArmXAs5paes8
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#shlo_ref Add `tanh` op.
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NONE
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#shlo_ref Add `tanh` op.
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PR_kwDOArmXAs5paeiL
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#shlo_ref Add `exponential` op.
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NONE
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#shlo_ref Add `exponential` op.
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PR_kwDOArmXAs5padvI
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#shlo_ref Add `sqrt` op.
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NONE
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#shlo_ref Add `sqrt` op.
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PR_kwDOArmXAs5padLi
| 63,520 |
Remove the check for positive resharding costs from the request validation code, and mention in our problem formulation description, that some edges can have negative costs.
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NONE
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Remove the check for positive resharding costs from the request validation code, and mention in our problem formulation description, that some edges can have negative costs.
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| 2,182,228,539 |
PR_kwDOArmXAs5paSZl
| 63,519 |
Add missing dependency to :cuda_driver target
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NONE
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Add missing dependency to :cuda_driver target
The CUDA driver abstraction layer requires the cuda diagnostics target. Without it
certain build targets fail to build.
It's interesting that we didn't discover it earlier. It seems most builds transitively
depend on this target in some way, so that it just happens to work. Curse the header
targets!
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PR_kwDOArmXAs5paQlu
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Update TFRT dependency to use revision
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Update TFRT dependency to use revision
http://github.com/tensorflow/runtime/commit/01bb13c48887179a7e60326b62974f17b85ed78c.
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PR_kwDOArmXAs5paGVJ
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Surround deps by clean_dep.
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PR_kwDOArmXAs5paGAu
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PR #10185: Hook up host offloading passes on GPU
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PR #10185: Hook up host offloading passes on GPU
Imported from GitHub PR https://github.com/openxla/xla/pull/10185
This adds the host memory offloading passes to the GPU compiler.
With this change, some of the Jax tests newly pass, see https://github.com/google/jax/pull/20036 for the relevant tests.
Copybara import of the project:
--
cc65a9bcf7e4db861d637bb5e5471f666cf516bf by Jaroslav Sevcik <[email protected]>:
Hook up offloading passes on GPU
--
69217f15a4bcec48676b892f4ec35ec8059beaab by Jaroslav Sevcik <[email protected]>:
Add missing build dep
--
7ffb35b970427eadffcce2ff4a74f40e7a0e458d by Jaroslav Sevcik <[email protected]>:
Format
Merging this change closes #10185
FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/openxla/xla/pull/10185 from jaro-sevcik:hook-up-host-offloading-gpu 7ffb35b970427eadffcce2ff4a74f40e7a0e458d
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I cannot understand this AttributeError : module 'tensorflow.python.ops.control_flow_ops' has no attribute 'case'
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"Can you post the output of `pip list` please? It is likely you have mismatched packages.\r\n\r\nThe error occurs from `control_flow_ops.case` where `control_flow_ops` is the module `tensorflow.python.ops.control_flow_ops` from TensorFlow, as it is imported by `tf_slim`. It means that the version of TF you have does not have a `case` symbol defined in this module, but the code from the `tf_slim` version you have is expecting one.",
"> Can you post the output of `pip list` please? It is likely you have mismatched packages.\r\n> \r\n> The error occurs from `control_flow_ops.case` where `control_flow_ops` is the module `tensorflow.python.ops.control_flow_ops` from TensorFlow, as it is imported by `tf_slim`. It means that the version of TF you have does not have a `case` symbol defined in this module, but the code from the `tf_slim` version you have is expecting one.\r\n\r\n```\r\nPackage Version\r\n-------------------------------- ---------------------\r\nabsl-py 1.4.0\r\naiohttp 3.9.3\r\naiosignal 1.3.1\r\nalabaster 0.7.16\r\nalbumentations 1.3.1\r\naltair 4.2.2\r\nannotated-types 0.6.0\r\nanyio 3.7.1\r\napache-beam 2.54.0\r\nappdirs 1.4.4\r\nargon2-cffi 23.1.0\r\nargon2-cffi-bindings 21.2.0\r\narray-record 0.5.0\r\narviz 0.15.1\r\nastropy 5.3.4\r\nastunparse 1.6.3\r\nasync-timeout 4.0.3\r\natpublic 4.0\r\nattrs 23.2.0\r\naudioread 3.0.1\r\nautograd 1.6.2\r\navro-python3 1.10.2\r\nBabel 2.14.0\r\nbackcall 0.2.0\r\nbeautifulsoup4 4.12.3\r\nbidict 0.23.1\r\nbigframes 0.23.0\r\nbleach 6.1.0\r\nblinker 1.4\r\nblis 0.7.11\r\nblosc2 2.0.0\r\nbokeh 3.3.4\r\nbqplot 0.12.43\r\nbranca 0.7.1\r\nbuild 1.1.1\r\nCacheControl 0.14.0\r\ncachetools 5.3.3\r\ncatalogue 2.0.10\r\ncertifi 2024.2.2\r\ncffi 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0.10.1\r\nimgaug 0.4.0\r\nimmutabledict 4.2.0\r\nimportlib_metadata 7.0.2\r\nimportlib_resources 6.1.3\r\nimutils 0.5.4\r\ninflect 7.0.0\r\niniconfig 2.0.0\r\nintel-openmp 2023.2.3\r\nipyevents 2.0.2\r\nipyfilechooser 0.6.0\r\nipykernel 5.5.6\r\nipyleaflet 0.18.2\r\nipython 7.34.0\r\nipython-genutils 0.2.0\r\nipython-sql 0.5.0\r\nipytree 0.2.2\r\nipywidgets 7.7.1\r\nitsdangerous 2.1.2\r\njax 0.4.23\r\njaxlib 0.4.23+cuda12.cudnn89\r\njeepney 0.7.1\r\njieba 0.42.1\r\nJinja2 3.1.3\r\njoblib 1.3.2\r\nJs2Py 0.74\r\njsonpickle 3.0.3\r\njsonschema 4.19.2\r\njsonschema-specifications 2023.12.1\r\njupyter-client 6.1.12\r\njupyter-console 6.1.0\r\njupyter_core 5.7.1\r\njupyter-server 1.24.0\r\njupyterlab_pygments 0.3.0\r\njupyterlab_widgets 3.0.10\r\nkaggle 1.5.16\r\nkagglehub 0.2.0\r\nkeras 2.15.0\r\nkeyring 23.5.0\r\nkiwisolver 1.4.5\r\nlangcodes 3.3.0\r\nlaunchpadlib 1.10.16\r\nlazr.restfulclient 0.14.4\r\nlazr.uri 1.0.6\r\nlazy_loader 0.3\r\nlibclang 16.0.6\r\nlibrosa 0.10.1\r\nlightgbm 4.1.0\r\nlinkify-it-py 2.0.3\r\nllvmlite 0.41.1\r\nlocket 1.0.0\r\nlogical-unification 0.4.6\r\nlvis 0.5.3\r\nlxml 4.9.4\r\nmalloy 2023.1067\r\nMarkdown 3.5.2\r\nmarkdown-it-py 3.0.0\r\nMarkupSafe 2.1.5\r\nmatplotlib 3.7.1\r\nmatplotlib-inline 0.1.6\r\nmatplotlib-venn 0.11.10\r\nmdit-py-plugins 0.4.0\r\nmdurl 0.1.2\r\nminiKanren 1.0.3\r\nmissingno 0.5.2\r\nmistune 0.8.4\r\nmizani 0.9.3\r\nmkl 2023.2.0\r\nml-dtypes 0.2.0\r\nmlxtend 0.22.0\r\nmore-itertools 10.1.0\r\nmoviepy 1.0.3\r\nmpmath 1.3.0\r\nmsgpack 1.0.8\r\nmultidict 6.0.5\r\nmultipledispatch 1.0.0\r\nmultitasking 0.0.11\r\nmurmurhash 1.0.10\r\nmusic21 9.1.0\r\nnatsort 8.4.0\r\nnbclassic 1.0.0\r\nnbclient 0.9.0\r\nnbconvert 6.5.4\r\nnbformat 5.9.2\r\nnest-asyncio 1.6.0\r\nnetworkx 3.2.1\r\nnibabel 4.0.2\r\nnltk 3.8.1\r\nnotebook 6.5.5\r\nnotebook_shim 0.2.4\r\nnumba 0.58.1\r\nnumexpr 2.9.0\r\nnumpy 1.24.4\r\noauth2client 4.1.3\r\noauthlib 3.2.2\r\nobject-detection 0.1\r\nobjsize 0.7.0\r\nopencv-contrib-python 4.8.0.76\r\nopencv-python 4.8.0.76\r\nopencv-python-headless 4.9.0.80\r\nopenpyxl 3.1.2\r\nopt-einsum 3.3.0\r\noptax 0.2.1\r\norbax-checkpoint 0.4.4\r\norjson 3.9.15\r\nosqp 0.6.2.post8\r\npackaging 23.2\r\npandas 1.5.3\r\npandas-datareader 0.10.0\r\npandas-gbq 0.19.2\r\npandas-stubs 1.5.3.230304\r\npandocfilters 1.5.1\r\npanel 1.3.8\r\nparam 2.0.2\r\nparso 0.8.3\r\nparsy 2.1\r\npartd 1.4.1\r\npathlib 1.0.1\r\npatsy 0.5.6\r\npeewee 3.17.1\r\npexpect 4.9.0\r\npickleshare 0.7.5\r\nPillow 9.4.0\r\npip 23.1.2\r\npip-tools 6.13.0\r\nplatformdirs 4.2.0\r\nplotly 5.15.0\r\nplotnine 0.12.4\r\npluggy 1.4.0\r\npolars 0.20.2\r\npooch 1.8.1\r\nportalocker 2.8.2\r\nportpicker 1.5.2\r\nprefetch-generator 1.0.3\r\npreshed 3.0.9\r\nprettytable 3.10.0\r\nproglog 0.1.10\r\nprogressbar2 4.2.0\r\nprometheus_client 0.20.0\r\npromise 2.3\r\nprompt-toolkit 3.0.43\r\nprophet 1.1.5\r\nproto-plus 1.23.0\r\nprotobuf 3.20.3\r\npsutil 5.9.5\r\npsycopg2 2.9.9\r\nptyprocess 0.7.0\r\npy-cpuinfo 9.0.0\r\npy4j 0.10.9.7\r\npyarrow 14.0.2\r\npyarrow-hotfix 0.6\r\npyasn1 0.5.1\r\npyasn1-modules 0.3.0\r\npycocotools 2.0\r\npycparser 2.21\r\npydantic 2.6.3\r\npydantic_core 2.16.3\r\npydata-google-auth 1.8.2\r\npydot 1.4.2\r\npydot-ng 2.0.0\r\npydotplus 2.0.2\r\nPyDrive 1.3.1\r\nPyDrive2 1.6.3\r\npyerfa 2.0.1.1\r\npygame 2.5.2\r\nPygments 2.16.1\r\nPyGObject 3.42.1\r\npyjsparser 2.7.1\r\nPyJWT 2.3.0\r\npymc 5.10.4\r\npymongo 4.6.2\r\npymystem3 0.2.0\r\nPyOpenGL 3.1.7\r\npyOpenSSL 24.0.0\r\npyparsing 2.4.7\r\npyperclip 1.8.2\r\npyproj 3.6.1\r\npyproject_hooks 1.0.0\r\npyshp 2.3.1\r\nPySocks 1.7.1\r\npytensor 2.18.6\r\npytest 7.4.4\r\npython-apt 0.0.0\r\npython-box 7.1.1\r\npython-dateutil 2.8.2\r\npython-louvain 0.16\r\npython-slugify 8.0.4\r\npython-utils 3.8.2\r\npytz 2023.4\r\npyviz_comms 3.0.1\r\nPyWavelets 1.5.0\r\nPyYAML 6.0.1\r\npyzmq 23.2.1\r\nqdldl 0.1.7.post0\r\nqudida 0.0.4\r\nratelim 0.1.6\r\nreferencing 0.33.0\r\nregex 2023.12.25\r\nrequests 2.31.0\r\nrequests-oauthlib 1.3.1\r\nrequirements-parser 0.5.0\r\nrich 13.7.1\r\nrpds-py 0.18.0\r\nrpy2 3.4.2\r\nrsa 4.9\r\nsacrebleu 2.2.0\r\nsafetensors 0.4.2\r\nscikit-image 0.19.3\r\nscikit-learn 1.2.2\r\nscipy 1.11.4\r\nscooby 0.9.2\r\nscs 3.2.4.post1\r\nseaborn 0.13.1\r\nSecretStorage 3.3.1\r\nSend2Trash 1.8.2\r\nsentencepiece 0.1.99\r\nseqeval 1.2.2\r\nsetuptools 67.7.2\r\nshapely 2.0.3\r\nsix 1.16.0\r\nsklearn-pandas 2.2.0\r\nsmart-open 6.4.0\r\nsniffio 1.3.1\r\nsnowballstemmer 2.2.0\r\nsortedcontainers 2.4.0\r\nsoundfile 0.12.1\r\nsoupsieve 2.5\r\nsoxr 0.3.7\r\nspacy 3.7.4\r\nspacy-legacy 3.0.12\r\nspacy-loggers 1.0.5\r\nSphinx 5.0.2\r\nsphinxcontrib-applehelp 1.0.8\r\nsphinxcontrib-devhelp 1.0.6\r\nsphinxcontrib-htmlhelp 2.0.5\r\nsphinxcontrib-jsmath 1.0.1\r\nsphinxcontrib-qthelp 1.0.7\r\nsphinxcontrib-serializinghtml 1.1.10\r\nSQLAlchemy 2.0.28\r\nsqlglot 20.11.0\r\nsqlparse 0.4.4\r\nsrsly 2.4.8\r\nstanio 0.3.0\r\nstatsmodels 0.14.1\r\nsympy 1.12\r\ntables 3.8.0\r\ntabulate 0.9.0\r\ntbb 2021.11.0\r\ntblib 3.0.0\r\ntenacity 8.2.3\r\ntensorboard 2.15.2\r\ntensorboard-data-server 0.7.2\r\ntensorflow 2.15.0\r\ntensorflow-datasets 4.9.4\r\ntensorflow-estimator 2.15.0\r\ntensorflow-gcs-config 2.15.0\r\ntensorflow-hub 0.16.1\r\ntensorflow-io 0.36.0\r\ntensorflow-io-gcs-filesystem 0.36.0\r\ntensorflow-metadata 1.14.0\r\ntensorflow-model-optimization 0.8.0\r\ntensorflow-probability 0.23.0\r\ntensorflow-text 2.15.0\r\ntensorstore 0.1.45\r\ntermcolor 2.4.0\r\nterminado 0.18.0\r\ntext-unidecode 1.3\r\ntextblob 0.17.1\r\ntf-keras 2.15.0\r\ntf-models-official 2.15.0\r\ntf-slim 1.1.0\r\nthinc 8.2.3\r\nthreadpoolctl 3.3.0\r\ntifffile 2024.2.12\r\ntinycss2 1.2.1\r\ntokenizers 0.15.2\r\ntoml 0.10.2\r\ntomli 2.0.1\r\ntoolz 0.12.1\r\ntorch 2.1.0+cu121\r\ntorchaudio 2.1.0+cu121\r\ntorchdata 0.7.0\r\ntorchsummary 1.5.1\r\ntorchtext 0.16.0\r\ntorchvision 0.16.0+cu121\r\ntornado 6.3.3\r\ntqdm 4.66.2\r\ntraitlets 5.7.1\r\ntraittypes 0.2.1\r\ntransformers 4.38.2\r\ntriton 2.1.0\r\ntweepy 4.14.0\r\ntyper 0.9.0\r\ntypes-pytz 2024.1.0.20240203\r\ntypes-setuptools 69.1.0.20240308\r\ntyping_extensions 4.10.0\r\ntzlocal 5.2\r\nuc-micro-py 1.0.3\r\nuritemplate 4.1.1\r\nurllib3 2.0.7\r\nvega-datasets 0.9.0\r\nwadllib 1.3.6\r\nwasabi 1.1.2\r\nwcwidth 0.2.13\r\nweasel 0.3.4\r\nwebcolors 1.13\r\nwebencodings 0.5.1\r\nwebsocket-client 1.7.0\r\nWerkzeug 3.0.1\r\nwheel 0.42.0\r\nwidgetsnbextension 3.6.6\r\nwordcloud 1.9.3\r\nwrapt 1.14.1\r\nxarray 2023.7.0\r\nxarray-einstats 0.7.0\r\nxgboost 2.0.3\r\nxlrd 2.0.1\r\nxyzservices 2023.10.1\r\nyarl 1.9.4\r\nyellowbrick 1.5\r\nyfinance 0.2.37\r\nzict 3.0.0\r\nzipp 3.17.0\r\nzstandard 0.22.0\r\n```\r\n\r\nis This info fine ? ",
"> is This info fine ?\r\n\r\nYes, I just edited it to be properly wrapped in formatted text (useful when reading command output).\r\n\r\nYou are using `tf-slim` 1.1.0, which has the following [on their README](https://github.com/google-research/tf-slim)\r\n\r\n> Note: Latest version of TF-Slim, 1.1.0, was tested with TF 1.15.2 py2, TF 2.0.1, TF 2.1 and TF 2.2.\r\n\r\nHowever, you have `tensorflow-2.15.0`. This is a difference of nearly 3-4 years between the latest tested version and the version you are using. TF code has changed during this time and the `case` symbol is no longer present",
"> > is This info fine ?\r\n> \r\n> Yes, I just edited it to be properly wrapped in formatted text (useful when reading command output).\r\n> \r\n> You are using `tf-slim` 1.1.0, which has the following [on their README](https://github.com/google-research/tf-slim)\r\n> \r\n> > Note: Latest version of TF-Slim, 1.1.0, was tested with TF 1.15.2 py2, TF 2.0.1, TF 2.1 and TF 2.2.\r\n> \r\n> However, you have `tensorflow-2.15.0`. This is a difference of nearly 3-4 years between the latest tested version and the version you are using. TF code has changed during this time and the `case` symbol is no longer present\r\n\r\nThanks.\r\nWhat should i do now to solve this attribute error.\r\ndo i need to upgrade this tf-slim package.\r\n\r\nusing\r\npip install --upgrade tf_slim",
"There is no newer version of `tf-slim`. So you either have to _down_grade TF (install TF 2.2 and `tf-slim` in a new virtual environment) or find an alternate library.\r\n\r\nNote: There is a hacky approach where you'd hack into your local copy of `tf-slim` to change the code around the error, but for this you need to be very sure you know what you are doing, this voids any guarantees, makes it impossible to debug future issues you might encounter. But if the proper approaches above don't work, this is something you could try. In any case, I suggest moving this to tf_slim if you want to keep using it, it is not relevant to TF.",
"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.",
"This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further.",
"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/63515\">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/63515\">No</a>\n"
] | 2024-03-12T15:43:58 | 2024-03-29T01:46:55 | 2024-03-29T01:46:52 |
NONE
| null | null | null |
### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
Yes
### Source
source
### TensorFlow version
tf 2.15.0
### Custom code
Yes
### OS platform and distribution
_No response_
### Mobile device
_No response_
### Python version
_No response_
### Bazel version
_No response_
### GCC/compiler version
_No response_
### CUDA/cuDNN version
_No response_
### GPU model and memory
_No response_
### Current behavior?
AttributeError: module 'tensorflow.python.ops.control_flow_ops' has no attribute 'case'.
I clone this Git model - https://github.com/tensorflow/models.git and got this error anyone please tell solution.
Thank You.
### Standalone code to reproduce the issue
```shell
WARNING:tensorflow:From /usr/local/lib/python3.10/dist-packages/object_detection/model_lib_v2.py:563: StrategyBase.experimental_distribute_datasets_from_function (from tensorflow.python.distribute.distribute_lib) is deprecated and will be removed in a future version.
Instructions for updating:
rename to distribute_datasets_from_function
W0312 15:35:40.912783 134985257164800 deprecation.py:50] From /usr/local/lib/python3.10/dist-packages/object_detection/model_lib_v2.py:563: StrategyBase.experimental_distribute_datasets_from_function (from tensorflow.python.distribute.distribute_lib) is deprecated and will be removed in a future version.
Instructions for updating:
rename to distribute_datasets_from_function
INFO:tensorflow:Reading unweighted datasets: ['/content/drive/MyDrive/Tensorflow/workspace/CCTV_New/annotations/train.record']
I0312 15:35:40.931479 134985257164800 dataset_builder.py:162] Reading unweighted datasets: ['/content/drive/MyDrive/Tensorflow/workspace/CCTV_New/annotations/train.record']
INFO:tensorflow:Reading record datasets for input file: ['/content/drive/MyDrive/Tensorflow/workspace/CCTV_New/annotations/train.record']
I0312 15:35:40.931926 134985257164800 dataset_builder.py:79] Reading record datasets for input file: ['/content/drive/MyDrive/Tensorflow/workspace/CCTV_New/annotations/train.record']
INFO:tensorflow:Number of filenames to read: 1
I0312 15:35:40.932068 134985257164800 dataset_builder.py:80] Number of filenames to read: 1
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
W0312 15:35:40.932148 134985257164800 dataset_builder.py:86] num_readers has been reduced to 1 to match input file shards.
WARNING:tensorflow:From /usr/local/lib/python3.10/dist-packages/object_detection/builders/dataset_builder.py:100: parallel_interleave (from tensorflow.python.data.experimental.ops.interleave_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.data.Dataset.interleave(map_func, cycle_length, block_length, num_parallel_calls=tf.data.AUTOTUNE)` instead. If sloppy execution is desired, use `tf.data.Options.deterministic`.
W0312 15:35:40.940362 134985257164800 deprecation.py:50] From /usr/local/lib/python3.10/dist-packages/object_detection/builders/dataset_builder.py:100: parallel_interleave (from tensorflow.python.data.experimental.ops.interleave_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.data.Dataset.interleave(map_func, cycle_length, block_length, num_parallel_calls=tf.data.AUTOTUNE)` instead. If sloppy execution is desired, use `tf.data.Options.deterministic`.
WARNING:tensorflow:From /usr/local/lib/python3.10/dist-packages/object_detection/builders/dataset_builder.py:235: DatasetV1.map_with_legacy_function (from tensorflow.python.data.ops.dataset_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.data.Dataset.map()
W0312 15:35:40.964928 134985257164800 deprecation.py:50] From /usr/local/lib/python3.10/dist-packages/object_detection/builders/dataset_builder.py:235: DatasetV1.map_with_legacy_function (from tensorflow.python.data.ops.dataset_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.data.Dataset.map()
Traceback (most recent call last):
File "/content/drive/MyDrive/Tensorflow/workspace/CCTV_New/model_main_tf2.py", line 114, in <module>
tf.compat.v1.app.run()
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/platform/app.py", line 36, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "/usr/local/lib/python3.10/dist-packages/absl/app.py", line 308, in run
_run_main(main, args)
File "/usr/local/lib/python3.10/dist-packages/absl/app.py", line 254, in _run_main
sys.exit(main(argv))
File "/content/drive/MyDrive/Tensorflow/workspace/CCTV_New/model_main_tf2.py", line 105, in main
model_lib_v2.train_loop(
File "/usr/local/lib/python3.10/dist-packages/object_detection/model_lib_v2.py", line 563, in train_loop
train_input = strategy.experimental_distribute_datasets_from_function(
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/util/deprecation.py", line 383, in new_func
return func(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/distribute/distribute_lib.py", line 1563, in experimental_distribute_datasets_from_function
return self.distribute_datasets_from_function(dataset_fn, options)
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/distribute/distribute_lib.py", line 1554, in distribute_datasets_from_function
return self._extended._distribute_datasets_from_function( # pylint: disable=protected-access
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/distribute/mirrored_strategy.py", line 613, in _distribute_datasets_from_function
return input_util.get_distributed_datasets_from_function(
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/distribute/input_util.py", line 144, in get_distributed_datasets_from_function
return input_lib.DistributedDatasetsFromFunction(
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/distribute/input_lib.py", line 1143, in __init__
self.build()
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/distribute/input_lib.py", line 1165, in build
_create_datasets_from_function_with_input_context(
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/distribute/input_lib.py", line 1680, in _create_datasets_from_function_with_input_context
dataset = dataset_fn(ctx)
File "/usr/local/lib/python3.10/dist-packages/object_detection/model_lib_v2.py", line 554, in train_dataset_fn
train_input = inputs.train_input(
File "/usr/local/lib/python3.10/dist-packages/object_detection/inputs.py", line 908, in train_input
dataset = INPUT_BUILDER_UTIL_MAP['dataset_build'](
File "/usr/local/lib/python3.10/dist-packages/object_detection/builders/dataset_builder.py", line 250, in build
dataset = dataset_map_fn(dataset, decoder.decode, batch_size,
File "/usr/local/lib/python3.10/dist-packages/object_detection/builders/dataset_builder.py", line 235, in dataset_map_fn
dataset = dataset.map_with_legacy_function(
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/util/deprecation.py", line 383, in new_func
return func(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/data/ops/dataset_ops.py", line 4128, in map_with_legacy_function
return map_op._map_v1_with_legacy_function(
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/data/ops/map_op.py", line 85, in _map_v1_with_legacy_function
_ParallelMapDataset(
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/data/ops/map_op.py", line 148, in __init__
self._map_func = structured_function.StructuredFunctionWrapper(
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/data/ops/structured_function.py", line 272, in __init__
self._function.add_to_graph(ops.get_default_graph())
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/framework/function.py", line 579, in add_to_graph
self._create_definition_if_needed()
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/framework/function.py", line 412, in _create_definition_if_needed
self._create_definition_if_needed_impl()
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/framework/function.py", line 430, in _create_definition_if_needed_impl
temp_graph = func_graph_from_py_func(
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/framework/function.py", line 1007, in func_graph_from_py_func
outputs = func(*func_graph.inputs)
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/data/ops/structured_function.py", line 178, in wrapped_fn
ret = wrapper_helper(*args)
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/data/ops/structured_function.py", line 161, in wrapper_helper
ret = autograph.tf_convert(self._func, ag_ctx)(*nested_args)
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/autograph/impl/api.py", line 693, in wrapper
raise e.ag_error_metadata.to_exception(e)
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/autograph/impl/api.py", line 690, in wrapper
return converted_call(f, args, kwargs, options=options)
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/autograph/impl/api.py", line 439, in converted_call
result = converted_f(*effective_args, **kwargs)
File "/tmp/__autograph_generated_filey1kf8ufy.py", line 74, in tf__decode
tensors = ag__.converted_call(ag__.ld(decoder).decode, (ag__.ld(serialized_example),), dict(items=ag__.ld(keys)), fscope)
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/autograph/impl/api.py", line 439, in converted_call
result = converted_f(*effective_args, **kwargs)
File "/tmp/__autograph_generated_fileo39plnsc.py", line 81, in tf__decode
ag__.for_stmt(ag__.ld(items), None, loop_body_1, get_state_3, set_state_3, (), {'iterate_names': 'item'})
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 449, in for_stmt
for_fn(iter_, extra_test, body, get_state, set_state, symbol_names, opts)
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 500, in _py_for_stmt
body(target)
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 466, in protected_body
original_body(protected_iter)
File "/tmp/__autograph_generated_fileo39plnsc.py", line 77, in loop_body_1
ag__.converted_call(ag__.ld(outputs).append, (ag__.converted_call(ag__.ld(handler).tensors_to_item, (ag__.ld(keys_to_tensors),), None, fscope),), None, fscope)
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/autograph/impl/api.py", line 441, in converted_call
result = converted_f(*effective_args)
File "/tmp/__autograph_generated_filenauzobq0.py", line 39, in tf__tensors_to_item
ag__.if_stmt(ag__.ld(self)._repeated, if_body, else_body, get_state, set_state, ('do_return', 'retval_'), 2)
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 1217, in if_stmt
_py_if_stmt(cond, body, orelse)
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 1270, in _py_if_stmt
return body() if cond else orelse()
File "/tmp/__autograph_generated_filenauzobq0.py", line 35, in else_body
retval_ = ag__.converted_call(ag__.ld(self)._decode, (ag__.ld(image_buffer), ag__.ld(image_format)), None, fscope)
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/autograph/impl/api.py", line 441, in converted_call
result = converted_f(*effective_args)
File "/tmp/__autograph_generated_filenftifa_u.py", line 80, in tf___decode
image = ag__.converted_call(ag__.ld(control_flow_ops).case, (ag__.ld(pred_fn_pairs),), dict(default=ag__.ld(check_jpeg), exclusive=True), fscope)
AttributeError: in user code:
File "/usr/local/lib/python3.10/dist-packages/object_detection/data_decoders/tf_example_decoder.py", line 556, in decode *
tensors = decoder.decode(serialized_example, items=keys)
File "/usr/local/lib/python3.10/dist-packages/tf_slim/data/tfexample_decoder.py", line 722, in decode *
outputs.append(handler.tensors_to_item(keys_to_tensors))
File "/usr/local/lib/python3.10/dist-packages/tf_slim/data/tfexample_decoder.py", line 405, in tensors_to_item *
return self._decode(image_buffer, image_format)
File "/usr/local/lib/python3.10/dist-packages/tf_slim/data/tfexample_decoder.py", line 453, in _decode *
image = control_flow_ops.case(
AttributeError: module 'tensorflow.python.ops.control_flow_ops' has no attribute 'case'
```
### Relevant log output
_No response_
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I_kwDOArmXAs6CDmkX
| 63,514 |
Error : (GATHER) failed to prepare
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[
"Hi @alkaf-ahmed,\r\n\r\nI have reproduced the issue with TF 2.15. It is observed that the issue is with the representative data. Make sure the key you're using to yield data in your representative_data_gen_reg function matches the actual input name in your model. You need to reshape the input. Please try this fix\r\n```\r\ndef representative_data_gen_reg():\r\n# Approach 1 \r\n#yield [x[40:80].reshape(40)] \r\n# Approach 2 \r\n for i in x[70:80] : \r\n yield {\"dense_112_input\": i.reshape(1,-1)}\r\n```\r\n\r\nThank You\r\n",
"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.",
"This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further."
] | 2024-03-12T15:42:35 | 2024-04-03T01:47:19 | 2024-04-03T01:47:18 |
NONE
| null | null | null |
Hello,
I'm working on colab and I'm trying to adapt the following tutorial on TFLite :
https://www.tensorflow.org/lite/performance/post_training_integer_quant
In the tutorial, the MNIST dataset is used, so when making a "representative_dataset " function, the following function is used :
```
def representative_data_gen():
for input_value in tf.data.Dataset.from_tensor_slices(train_images).batch(1).take(100):
# Model has only one input so each data point has one element.
yield [input_value]
```
I completly undersatnd why this is done (at least I hope I'm) so I tried to adapt the tutorial to another NN on regression which is vary basic but here the input to the NN so the "representative_dataset " function will be different as well.
I'm trying to do that just so I undersatnd well how to work with TFLite, hence the simple NN that doesn't necessarily serve at anything.
## ML code
Here's the code for the data and the learning :
```
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
x = np.arange(0,100)
y = np.exp(-5/x)
e = np.random.randn(100)
y = y+0.05*e
plt.plot(x,y,'o')
plt.show()
x = x.reshape(-1,1)
y = y.reshape(-1,1)
def reg_model() :
activ = 'tanh'
# Define the model architecture
model = tf.keras.Sequential([
tf.keras.layers.Dense(100, input_shape=(x.shape), activation=activ),
tf.keras.layers.Dense(100, activation=activ),
tf.keras.layers.Dense(100, activation=activ),
tf.keras.layers.Dense(100, activation=activ),
tf.keras.layers.Dense(100, activation=activ),
tf.keras.layers.Dense(100, activation=activ),
tf.keras.layers.Dense(100, activation=activ),
tf.keras.layers.Dense(1)
])
# Train the digit classification model
model.compile(optimizer='adam',
loss=tf.keras.losses.mean_absolute_error)
model.fit(
x,
y,
epochs=20,
validation_data=(x, y)
)
return model
model = reg_model()
```
## Code causing the error
Here's where I have a problem :
```
def representative_data_gen_reg():
# Approach 1
yield [x[40:80].reshape(40)]
# Approach 2
# for i in x[40:80] :
# yield {"val": i}
converter = tf.lite.TFLiteConverter.from_keras_model(model)
converter.optimizations = [tf.lite.Optimize.DEFAULT]
converter.representative_dataset = representative_data_gen_reg
tflite_model_quant_wb = converter.convert()
```
## Error logs
Here's the error for **Approach 1** :
```
INFO:tensorflow:Assets written to: /tmp/tmpa3xvd3rp/assets
/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/convert.py:953: UserWarning: Statistics for quantized inputs were expected, but not specified; continuing anyway.
warnings.warn(
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
[<ipython-input-157-c4893ade4d26>](https://localhost:8080/#) in <cell line: 19>()
17 converter.representative_dataset = representative_data_gen_reg
18
---> 19 tflite_model_quant_wb = converter.convert()
12 frames
[/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/lite.py](https://localhost:8080/#) in wrapper(self, *args, **kwargs)
1137 def wrapper(self, *args, **kwargs):
1138 # pylint: disable=protected-access
-> 1139 return self._convert_and_export_metrics(convert_func, *args, **kwargs)
1140 # pylint: enable=protected-access
1141
[/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/lite.py](https://localhost:8080/#) in _convert_and_export_metrics(self, convert_func, *args, **kwargs)
1091 self._save_conversion_params_metric()
1092 start_time = time.process_time()
-> 1093 result = convert_func(self, *args, **kwargs)
1094 elapsed_time_ms = (time.process_time() - start_time) * 1000
1095 if result:
[/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/lite.py](https://localhost:8080/#) in convert(self)
1599 Invalid quantization parameters.
1600 """
-> 1601 saved_model_convert_result = self._convert_as_saved_model()
1602 if saved_model_convert_result:
1603 return saved_model_convert_result
[/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/lite.py](https://localhost:8080/#) in _convert_as_saved_model(self)
1580 )
1581 if self.saved_model_dir:
-> 1582 return super(TFLiteKerasModelConverterV2, self).convert(
1583 graph_def, input_tensors, output_tensors
1584 )
[/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/lite.py](https://localhost:8080/#) in convert(self, graph_def, input_tensors, output_tensors)
1376 )
1377
-> 1378 return self._optimize_tflite_model(
1379 result, self._quant_mode, quant_io=self.experimental_new_quantizer
1380 )
[/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/convert_phase.py](https://localhost:8080/#) in wrapper(*args, **kwargs)
213 except Exception as error:
214 report_error_message(str(error))
--> 215 raise error from None # Re-throws the exception.
216
217 return wrapper
[/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/convert_phase.py](https://localhost:8080/#) in wrapper(*args, **kwargs)
203 def wrapper(*args, **kwargs):
204 try:
--> 205 return func(*args, **kwargs)
206 except ConverterError as converter_error:
207 if converter_error.errors:
[/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/lite.py](https://localhost:8080/#) in _optimize_tflite_model(self, model, quant_mode, quant_io)
1035 q_allow_float = quant_mode.is_allow_float()
1036 q_variable_quantization = quant_mode.enable_mlir_variable_quantization
-> 1037 model = self._quantize(
1038 model,
1039 q_in_type,
[/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/lite.py](https://localhost:8080/#) in _quantize(self, result, input_type, output_type, activations_type, bias_type, allow_float, enable_variable_quantization)
733 )
734 if self._experimental_calibrate_only or self.experimental_new_quantizer:
--> 735 calibrated = calibrate_quantize.calibrate(
736 self.representative_dataset.input_gen
737 )
[/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/convert_phase.py](https://localhost:8080/#) in wrapper(*args, **kwargs)
213 except Exception as error:
214 report_error_message(str(error))
--> 215 raise error from None # Re-throws the exception.
216
217 return wrapper
[/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/convert_phase.py](https://localhost:8080/#) in wrapper(*args, **kwargs)
203 def wrapper(*args, **kwargs):
204 try:
--> 205 return func(*args, **kwargs)
206 except ConverterError as converter_error:
207 if converter_error.errors:
[/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/optimize/calibrator.py](https://localhost:8080/#) in calibrate(self, dataset_gen)
252 Args:
253 dataset_gen: A generator that generates calibration samples.
--> 254 """
255 self._feed_tensors(dataset_gen, resize_input=True)
256 return self._calibrator.Calibrate()
[/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/optimize/calibrator.py](https://localhost:8080/#) in _feed_tensors(self, dataset_gen, resize_input)
141 [list(s.shape) for s in input_array], signature_key
142 )
--> 143 else:
144 self._calibrator.Prepare([list(s.shape) for s in input_array])
145 else:
RuntimeError: gather index out of boundsNode number 1 (GATHER) failed to prepare.
```
Here's the error for **Approach 2** :
```
INFO:tensorflow:Assets written to: /tmp/tmpxk5_dx3j/assets
/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/convert.py:953: UserWarning: Statistics for quantized inputs were expected, but not specified; continuing anyway.
warnings.warn(
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
[<ipython-input-158-52485a584b65>](https://localhost:8080/#) in <cell line: 19>()
17 converter.representative_dataset = representative_data_gen_reg
18
---> 19 tflite_model_quant_wb = converter.convert()
13 frames
[/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/lite.py](https://localhost:8080/#) in wrapper(self, *args, **kwargs)
1137 def wrapper(self, *args, **kwargs):
1138 # pylint: disable=protected-access
-> 1139 return self._convert_and_export_metrics(convert_func, *args, **kwargs)
1140 # pylint: enable=protected-access
1141
[/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/lite.py](https://localhost:8080/#) in _convert_and_export_metrics(self, convert_func, *args, **kwargs)
1091 self._save_conversion_params_metric()
1092 start_time = time.process_time()
-> 1093 result = convert_func(self, *args, **kwargs)
1094 elapsed_time_ms = (time.process_time() - start_time) * 1000
1095 if result:
[/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/lite.py](https://localhost:8080/#) in convert(self)
1599 Invalid quantization parameters.
1600 """
-> 1601 saved_model_convert_result = self._convert_as_saved_model()
1602 if saved_model_convert_result:
1603 return saved_model_convert_result
[/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/lite.py](https://localhost:8080/#) in _convert_as_saved_model(self)
1580 )
1581 if self.saved_model_dir:
-> 1582 return super(TFLiteKerasModelConverterV2, self).convert(
1583 graph_def, input_tensors, output_tensors
1584 )
[/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/lite.py](https://localhost:8080/#) in convert(self, graph_def, input_tensors, output_tensors)
1376 )
1377
-> 1378 return self._optimize_tflite_model(
1379 result, self._quant_mode, quant_io=self.experimental_new_quantizer
1380 )
[/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/convert_phase.py](https://localhost:8080/#) in wrapper(*args, **kwargs)
213 except Exception as error:
214 report_error_message(str(error))
--> 215 raise error from None # Re-throws the exception.
216
217 return wrapper
[/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/convert_phase.py](https://localhost:8080/#) in wrapper(*args, **kwargs)
203 def wrapper(*args, **kwargs):
204 try:
--> 205 return func(*args, **kwargs)
206 except ConverterError as converter_error:
207 if converter_error.errors:
[/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/lite.py](https://localhost:8080/#) in _optimize_tflite_model(self, model, quant_mode, quant_io)
1035 q_allow_float = quant_mode.is_allow_float()
1036 q_variable_quantization = quant_mode.enable_mlir_variable_quantization
-> 1037 model = self._quantize(
1038 model,
1039 q_in_type,
[/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/lite.py](https://localhost:8080/#) in _quantize(self, result, input_type, output_type, activations_type, bias_type, allow_float, enable_variable_quantization)
733 )
734 if self._experimental_calibrate_only or self.experimental_new_quantizer:
--> 735 calibrated = calibrate_quantize.calibrate(
736 self.representative_dataset.input_gen
737 )
[/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/convert_phase.py](https://localhost:8080/#) in wrapper(*args, **kwargs)
213 except Exception as error:
214 report_error_message(str(error))
--> 215 raise error from None # Re-throws the exception.
216
217 return wrapper
[/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/convert_phase.py](https://localhost:8080/#) in wrapper(*args, **kwargs)
203 def wrapper(*args, **kwargs):
204 try:
--> 205 return func(*args, **kwargs)
206 except ConverterError as converter_error:
207 if converter_error.errors:
[/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/optimize/calibrator.py](https://localhost:8080/#) in calibrate(self, dataset_gen)
252 Args:
253 dataset_gen: A generator that generates calibration samples.
--> 254 """
255 self._feed_tensors(dataset_gen, resize_input=True)
256 return self._calibrator.Calibrate()
[/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/optimize/calibrator.py](https://localhost:8080/#) in _feed_tensors(self, dataset_gen, resize_input)
119 if self._interpreter is None:
120 self._interpreter = Interpreter(model_content=self._model_content)
--> 121 signature_key = None
122 input_array = self._create_input_array_from_dict(None, sample)
123 elif isinstance(sample, list):
[/usr/local/lib/python3.10/dist-packages/tensorflow/lite/python/optimize/calibrator.py](https://localhost:8080/#) in _create_input_array_from_dict(self, signature_key, inputs)
92 key=lambda item: item[1]["index"],
93 )
---> 94 for input_name, _ in input_details:
95 input_array.append(inputs[input_name])
96 return input_array
KeyError: 'dense_74_input'
```
In the doc's it's advised to use the second approach to make the function :
https://www.tensorflow.org/lite/performance/post_training_quantization
But when I did that I just got `KeyError: 'dense_74_input' `. So any idea where I missed up ?
Thanks for any help
|
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[XLA:Python] Fix build of xla/python on Windows.
* ssize_t isn't a Windows platform type. Use npy_intp or Py_hash_t, depending on the context.
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Remove shape checks on tensor shapes which may not yet be correctly set.
Slice cannot accept negative sizes as the input shape may not be correctly set.
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[XLA:GPU][IndexAnalysis] Add a base class for all indexing-related tests.
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[XLA:GPU][IndexAnalysis] Add a base class for all indexing-related tests.
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[XLA:GPU] Support arbitrary size broadcast of parameter if parameter rank is 1.
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Integrate LLVM at llvm/llvm-project@335883844642
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Integrate LLVM at llvm/llvm-project@335883844642
Updates LLVM usage to match
[335883844642](https://github.com/llvm/llvm-project/commit/335883844642)
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PR #10291: [ROCM] fixing pmap failure on multiple gpus (forward convolution)
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PR #10291: [ROCM] fixing pmap failure on multiple gpus (forward convolution)
Imported from GitHub PR https://github.com/openxla/xla/pull/10291
In this PR I fix [this issue](https://github.com/google/jax/issues/14582) for AMD GPUs.
The problem was that, in order to use MIOpen convolutions, previously one needs to call **GetMIOpenConvolveAlgorithms** to populate an intenal MIOpen cache of convolution invokers. So far this was implicitly done by conv_algorithm_picker.cc for **one stream executor** (single GPU). But when one tries to run it on multiple GPU devices, the above problem occurs.\
Note that, the fix applies to AMD GPUs only, hence no changes in behaviuor on CUDA side.
@xla-rotation: could you please take a look ?
Copybara import of the project:
--
b0aa0850a7b9e370bf23ed8b086ad63d72ec88c6 by Pavel Emeliyanenko <[email protected]>:
fixing pmap failure on multiple gpus (forward convolution)
--
f4cb4633cb293c8d99ddd650cfc91dc539869e0e by Pavel Emeliyanenko <[email protected]>:
added missing dependency
Merging this change closes #10291
FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/openxla/xla/pull/10291 from ROCm:ci_jax_pmap_failure_fix f4cb4633cb293c8d99ddd650cfc91dc539869e0e
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Update TFRT dependency to use revision
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Update TFRT dependency to use revision
http://github.com/tensorflow/runtime/commit/203fb5da4d73ed17ec54ee13471dde20326ba4de.
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Automated Code Change
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Add SparseDot op to the MHLO dialect
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Add SparseDot op to the MHLO dialect
- MHLO "sparsity" attribute represents SparsityDescriptor proto;
- MHLO "sparse_dot" op represents HloDotInstruction with sparsity descriptor;
- Adds transforms MHLO<->HLO;
- The verifier calls StableHLO inferDotGeneralOp helper.
Note: only N:M structured sparsity is supported for sparse dots at this point.
|
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PR_kwDOArmXAs5pXN9x
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Load OPENCL extensions correctly.
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Load OPENCL extensions correctly.
The existing implementation was incorrectly using loadOpenCLPointer to
load extension functions. The correct way to load extensions according to
the spec is the use clGetExtensionFunctionAddressForPlatform().
To ensure a less invasive change, add the function at the end of the
default GPU device creation.
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Clean up obsolete TODOs.
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Clean up obsolete TODOs.
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PR_kwDOArmXAs5pXBkA
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Integrate LLVM at llvm/llvm-project@a83f8e0314fc
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Integrate LLVM at llvm/llvm-project@a83f8e0314fc
Updates LLVM usage to match
[a83f8e0314fc](https://github.com/llvm/llvm-project/commit/a83f8e0314fc)
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PR_kwDOArmXAs5pW_2R
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Make Range comparisons safer.
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Make Range comparisons safer.
Right now, it is easy to accidentally write if (range < 42), but this
doesn't do what it looks like. This change removes the implicit
operator bool, so instead one has to write:
if (auto result = range < 42; result != std::nullopt)
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I_kwDOArmXAs6CA7J1
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tensorflow-macos still required for version 2.16.1
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"Bizarely I can't repro this on OSX 14.3.1 w/ Python 3.11.x on an M1 macbook pro. The `tensorflow` package works just fine.",
"Can you try within a clean environment? It is possible you have old packages.",
"```\r\n# create new python 3.10 conda env\r\nconda create -n tf_osx_test python==3.10.13\r\n\r\n# activate\r\nconda activate tf_osx_test\r\n\r\n# verify python version\r\npython --version\r\n> Python 3.10.13\r\n\r\n# install tensorflow via pip\r\npip install tensorflow\r\n\r\nCollecting tensorflow\r\n Downloading ...tensorflow-2.16.1-cp310-cp310-macosx_12_0_arm64.whl (227.0 MB)\r\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 227.0/227.0 MB 21.3 MB/s eta 0:00:00\r\n...\r\nSuccessfully installed MarkupSafe-2.1.5 absl-py-2.1.0 astunparse-1.6.3 certifi-2024.2.2 charset-normalizer-3.3.2 dm-tree-0.1.8 flatbuffers-24.3.7 gast-0.5.4 google-pasta-0.2.0 grpcio-1.62.1 h5py-3.10.0 idna-3.6 keras-3.0.5 libclang-16.0.6 markdown-3.5.2 markdown-it-py-3.0.0 mdurl-0.1.2 ml-dtypes-0.3.2 namex-0.0.7 numpy-1.26.4 opt-einsum-3.3.0 packaging-24.0 protobuf-4.25.3 pygments-2.17.2 requests-2.31.0 rich-13.7.1 six-1.16.0 tensorboard-2.16.2 tensorboard-data-server-0.7.2 tensorflow-2.16.1 tensorflow-io-gcs-filesystem-0.36.0 termcolor-2.4.0 typing-extensions-4.10.0 urllib3-2.2.1 werkzeug-3.0.1 wrapt-1.16.0\r\n\r\ntry to import it:\r\n\r\n>>> import tensorflow as tf\r\n```\r\n\r\nNo issues whatsoever. Maybe your python installation is corrupted @mihaimaruseac ? This is on a 2021 M1 MBP w/ OSX Sonoma 14.3.1.",
"In my case, I have also tried creating a fresh virtual environment. It won't work. \r\n\r\nPS: I don't use `conda` ",
"> Maybe your python installation is corrupted @mihaimaruseac ? This is on a 2021 M1 MBP w/ OSX Sonoma 14.3.1.\r\n\r\nI was trying to help @gmyrianthous , I can install TF but I'm not on macos :)\r\n\r\n@gmyrianthous are you on M1 mac?",
"@gmyrianthous Please refer to the official TensorFlow installation guide for Apple Silicon: https://developer.apple.com/metal/tensorflow-plugin/\r\nCould you try to delete any cached build artifacts from previous attempts. Then run `bazel clean` before building TensorFlow. Also reinstall TensorFlow using pip install tensorflow to ensure a clean installation with the latest updates.\r\nThank you!",
"> > Maybe your python installation is corrupted @mihaimaruseac ? This is on a 2021 M1 MBP w/ OSX Sonoma 14.3.1.\r\n> \r\n> I was trying to help @gmyrianthous , I can install TF but I'm not on macos :)\r\n> \r\n> @gmyrianthous are you on M1 mac?\r\n\r\nYes, Apple M1 pro on Sonoma 14.3.1 and running Python 3.10.13",
"> @gmyrianthous Please refer to the official TensorFlow installation guide for Apple Silicon: https://developer.apple.com/metal/tensorflow-plugin/ Could you try to delete any cached build artifacts from previous attempts. Then run `bazel clean` before building TensorFlow. Also reinstall TensorFlow using pip install tensorflow to ensure a clean installation with the latest updates. Thank you!\r\n\r\n@sushreebarsa I am not building the tensorflow from wheels. I simply try to install it via `pip`. ",
"@sushreebarsa you are giving bad advice again :( Please read issue content more carefully before using the canned replies.\r\n\r\n@gmyrianthous can you post the output of `pip list` and `pip debug`? Also, are you using `pip` or `python -m pip` (and same for environment creation) -- we've seen silent bugs when `pip` was not the same as the one used by the `python` command.",
"> @sushreebarsa you are giving bad advice again :( Please read issue content more carefully before using the canned replies.\r\n> \r\n> @gmyrianthous can you post the output of `pip list` and `pip debug`? Also, are you using `pip` or `python -m pip` (and same for environment creation) -- we've seen silent bugs when `pip` was not the same as the one used by the `python` command.\r\n\r\n@mihaimaruseac Here are the steps I follow to reproduce the error:\r\n\r\n```\r\n# Check Python version\r\n$ python3.10 --version\r\nPython 3.10.13\r\n\r\n# Create a fresh virtual environment\r\n$ python3.10 -m venv ~/virtualenvs/tensorflow-venv\r\n\r\n# Activate the virtual environment\r\n$ source ~/virtualenvs/tensorflow-venv/bin/activate\r\n\r\n# Install tensorflow 2.16.1\r\n$ python -m pip install tensorflow==2.16.1\r\n\r\n# Enter Python shell and import Tensorflow\r\n(tensorflow-venv) ➜ ~ python\r\nPython 3.10.13 (main, Aug 24 2023, 22:46:18) [Clang 14.0.0 (clang-1400.0.29.202)] on darwin\r\nType \"help\", \"copyright\", \"credits\" or \"license\" for more information.\r\n>>> import tensorflow\r\n[1] 13201 illegal hardware instruction python\r\n```\r\n\r\n\r\nHere's the output you asked for: \r\n\r\n```\r\n(tensorflow-venv) ➜ ~ python -m pip list\r\nPackage Version\r\n---------------------------- --------\r\nabsl-py 2.1.0\r\nastunparse 1.6.3\r\ncertifi 2024.2.2\r\ncharset-normalizer 3.3.2\r\ndm-tree 0.1.8\r\nflatbuffers 24.3.7\r\ngast 0.5.4\r\ngoogle-pasta 0.2.0\r\ngrpcio 1.62.1\r\nh5py 3.10.0\r\nidna 3.6\r\nkeras 3.0.5\r\nlibclang 16.0.6\r\nMarkdown 3.5.2\r\nmarkdown-it-py 3.0.0\r\nMarkupSafe 2.1.5\r\nmdurl 0.1.2\r\nml-dtypes 0.3.2\r\nnamex 0.0.7\r\nnumpy 1.26.4\r\nopt-einsum 3.3.0\r\npackaging 24.0\r\npip 23.2.1\r\nprotobuf 4.25.3\r\nPygments 2.17.2\r\nrequests 2.31.0\r\nrich 13.7.1\r\nsetuptools 68.1.2\r\nsix 1.16.0\r\ntensorboard 2.16.2\r\ntensorboard-data-server 0.7.2\r\ntensorflow 2.16.1\r\ntensorflow-io-gcs-filesystem 0.36.0\r\ntermcolor 2.4.0\r\ntyping_extensions 4.10.0\r\nurllib3 2.2.1\r\nWerkzeug 3.0.1\r\nwheel 0.43.0\r\nwrapt 1.16.0\r\n```\r\n\r\n```\r\n(tensorflow-venv) ➜ ~ python -m pip debug\r\nWARNING: This command is only meant for debugging. Do not use this with automation for parsing and getting these details, since the output and options of this command may change without notice.\r\npip version: pip 23.2.1 from /Users/gmyrianthous/virtualenvs/tensorflow-venv/lib/python3.10/site-packages/pip (python 3.10)\r\nsys.version: 3.10.13 (main, Aug 24 2023, 22:46:18) [Clang 14.0.0 (clang-1400.0.29.202)]\r\nsys.executable: /Users/gmyrianthous/virtualenvs/tensorflow-venv/bin/python\r\nsys.getdefaultencoding: utf-8\r\nsys.getfilesystemencoding: utf-8\r\nlocale.getpreferredencoding: UTF-8\r\nsys.platform: darwin\r\nsys.implementation:\r\n name: cpython\r\n'cert' config value: Not specified\r\nREQUESTS_CA_BUNDLE: None\r\nCURL_CA_BUNDLE: None\r\npip._vendor.certifi.where(): /Users/gmyrianthous/virtualenvs/tensorflow-venv/lib/python3.10/site-packages/pip/_vendor/certifi/cacert.pem\r\npip._vendor.DEBUNDLED: False\r\nvendored library versions:\r\n CacheControl==0.12.11\r\n colorama==0.4.6\r\n distlib==0.3.6\r\n distro==1.8.0\r\n msgpack==1.0.5\r\n packaging==21.3\r\n platformdirs==3.8.1\r\n pyparsing==3.1.0\r\n pyproject-hooks==1.0.0\r\n requests==2.31.0\r\n certifi==2023.05.07\r\n chardet==5.1.0\r\n idna==3.4\r\n urllib3==1.26.16\r\n rich==13.4.2 (Unable to locate actual module version, using vendor.txt specified version)\r\n pygments==2.15.1\r\n typing_extensions==4.7.1 (Unable to locate actual module version, using vendor.txt specified version)\r\n resolvelib==1.0.1\r\n setuptools==68.0.0 (Unable to locate actual module version, using vendor.txt specified version)\r\n six==1.16.0\r\n tenacity==8.2.2 (Unable to locate actual module version, using vendor.txt specified version)\r\n tomli==2.0.1\r\n webencodings==0.5.1 (Unable to locate actual module version, using vendor.txt specified version)\r\nCompatible tags: 2359\r\n cp310-cp310-macosx_14_0_x86_64\r\n cp310-cp310-macosx_14_0_intel\r\n cp310-cp310-macosx_14_0_fat64\r\n cp310-cp310-macosx_14_0_fat32\r\n cp310-cp310-macosx_14_0_universal2\r\n cp310-cp310-macosx_14_0_universal\r\n cp310-cp310-macosx_13_0_x86_64\r\n cp310-cp310-macosx_13_0_intel\r\n cp310-cp310-macosx_13_0_fat64\r\n cp310-cp310-macosx_13_0_fat32\r\n ...\r\n [First 10 tags shown. Pass --verbose to show all.]\r\n\r\n```\r\n\r\nPS: In fact, I would like to add this dependency in `pyproject.toml` and handle dependencies using `poetry`. Again, it won't work even with `poetry`. ",
"Yeah, poetry issue is known (#62928) but sadly not yet handled.\r\n\r\nI don't see anything strange in your logs. Can you also try with a newer version of Python?",
"> Yeah, poetry issue is known (#62928) but sadly not yet handled.\r\n> \r\n> I don't see anything strange in your logs. Can you also try with a newer version of Python?\r\n\r\nI have also tried with Python 3.11 and I have the same issue. Regardless, I want to get this done in Python 3.10 since this is going to be added in a productionised app that currently runs 3.10. \r\n\r\n",
"also running into this ",
"**/cc** @learning-to-play @kulinseth"
] | 2024-03-12T10:38:11 | 2024-05-30T11:51:41 | null |
NONE
| null | null | null |
### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
source
### TensorFlow version
2.16.1
### Custom code
No
### OS platform and distribution
macOS Sonoma 14.1.1
### Mobile device
_No response_
### Python version
3.10.13
### Bazel version
_No response_
### GCC/compiler version
_No response_
### CUDA/cuDNN version
_No response_
### GPU model and memory
_No response_
### Current behavior?
According to the [release notes of Tensorflow 2.16.1](https://github.com/tensorflow/tensorflow/releases/tag/v2.16.1),
> Apple Silicon users: If you previously installed TensorFlow using `pip install tensorflow-macos`, please update your installation method. Use` pip install tensorflow` from now on.
However, without installing `tensorflow-macos` I get the following error:
```
Fatal Python error: Illegal instruction
```
This error will get away after installing `tensorflow-macos`, which means Tensorflow 2.16.1 still requires the macos package to run on Apple Silicon machines.
### Standalone code to reproduce the issue
```shell
pip install tensorflow==2.16.1
import tensorflow as tf
```
### Relevant log output
```shell
Fatal Python error: Illegal instruction
```
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PR_kwDOArmXAs5pW2Tm
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Simplify (c * a) % ab.
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[] | 2024-03-12T10:18:39 | 2024-03-12T11:07:30 | 2024-03-12T11:07:29 |
NONE
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Simplify (c * a) % ab.
This allows us to eliminate more constraints, because the rewritten form has
tighter constraints (instead of [0;ab-1], it has [0;a(b-1)]).
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PR_kwDOArmXAs5pWwJN
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PR #10097: [ROCm] Allow host buffer allocation in GpuExecutor::Allocate
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[] | 2024-03-12T10:06:15 | 2024-04-10T19:08:01 | 2024-04-10T19:07:59 |
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PR #10097: [ROCm] Allow host buffer allocation in GpuExecutor::Allocate
Imported from GitHub PR https://github.com/openxla/xla/pull/10097
Copybara import of the project:
--
79a89bec3a27e37fdd483315c1ea7e855b988adb by Dragan Mladjenovic <[email protected]>:
[ROCm] Allow host buffer allocation in GpuExecutor::Allocate
Merging this change closes #10097
FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/openxla/xla/pull/10097 from ROCm:host_alloc 79a89bec3a27e37fdd483315c1ea7e855b988adb
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PR_kwDOArmXAs5pWtPp
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Correctly set BMM transpose flag
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NONE
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Correctly set BMM transpose flag
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