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Bump the python group with 3 updates
Updates the requirements on [tensorflow](https://github.com/tensorflow/tensorflow), torch and [torch-xla](https://github.com/pytorch/xla) to permit the latest version. Updates `tensorflow` to 2.20.0 - [Release notes](https://github.com/tensorflow/tensorflow/releases) - [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md) - [Commits](tensorflow/tensorflow@v2.18.1...v2.20.0) Updates `torch` from 2.6.0 to 2.9.0+cpu Updates `torch-xla` from 2.6.0 to 2.8.1 - [Release notes](https://github.com/pytorch/xla/releases) - [Commits](pytorch/xla@v2.6.0...v2.8.1) --- updated-dependencies: - dependency-name: tensorflow dependency-version: 2.20.0 dependency-type: direct:production dependency-group: python - dependency-name: torch dependency-version: 2.9.0+cpu dependency-type: direct:production update-type: version-update:semver-minor dependency-group: python - dependency-name: torch-xla dependency-version: 2.8.1 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: python ... Signed-off-by: dependabot[bot] <[email protected]>
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requirements-torch-cuda.txt

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# Torch with cuda support.
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# - torch is pinned to a version that is compatible with torch-xla.
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--extra-index-url https://download.pytorch.org/whl/cu121
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torch==2.9.0
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torch==2.9.0+cpu
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torch-xla==2.8.1;sys_platform != 'darwin'
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# Jax cpu-only version (needed for testing).

requirements.txt

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# Note: when the version of Tensorflow is changed, the version tf_keras must be
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# changed in .github/workflows/actions.yml (pip install --no-deps tf_keras).
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tensorflow-cpu~=2.18.1;sys_platform != 'darwin'
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tensorflow~=2.18.1;sys_platform == 'darwin'
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tensorflow~=2.20.0;sys_platform == 'darwin'
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tf2onnx
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# Torch.
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--extra-index-url https://download.pytorch.org/whl/cpu
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torch==2.6.0
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torch-xla==2.6.0;sys_platform != 'darwin'
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torch==2.9.0+cpu
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torch-xla==2.8.1;sys_platform != 'darwin'
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# Jax.
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# Pinned to 0.5.0 on CPU. JAX 0.5.1 requires Tensorflow 2.19 for saved_model_test.

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