wehub-resource-sync
38 lines
1.7 KiB
Plaintext
38 lines
1.7 KiB
Plaintext
# These requirements are used for the CI and CPU-only Docker images so we install CPU only versions of torch.
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# For GPU Docker images, you should install dl-gpu-requirements.txt afterwards.
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tensorflow==2.20.0; sys_platform != 'darwin' or platform_machine != 'arm64'
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tensorflow-macos==2.20.0; sys_platform == 'darwin' and platform_machine == 'arm64'
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tensorflow-probability==0.24.0
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tensorflow-io-gcs-filesystem==0.31.0; python_version < '3.12'
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tensorflow-datasets; python_version < '3.12'
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array-record==0.5.1; python_version < '3.12' and sys_platform != 'darwin' and platform_system != 'Windows'
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etils==1.5.2; python_version < '3.12'
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tf-keras==2.20.0
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# If you make changes below this line, please also make the corresponding changes to `dl-gpu-requirements.txt`
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# and to `install-dependencies.sh`!
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--extra-index-url https://download.pytorch.org/whl/cpu # for CPU versions of torch, torchvision
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--find-links https://data.pyg.org/whl/torch-2.9.0+cpu.html # for CPU versions of torch-scatter, torch-sparse, torch-cluster, torch-spline-conv
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torch==2.9.0
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torchmetrics==0.10.3
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torchtext==0.18.0
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torchvision==0.24.0
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# xgboost pulls nvidia-nccl-cu12 transitively even in CPU context. Align the
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# pin with what cu128 torch requires so the compiled lock doesn't clash with
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# GPU depsets that consume it as a constraint.
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nvidia-nccl-cu12==2.27.5; platform_system == 'Linux' and platform_machine != 'aarch64'
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torch-scatter==2.1.2
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torch-sparse==0.6.18
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torch-cluster==1.6.3
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torch-spline-conv==1.2.2
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torch-geometric==2.5.3
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cupy-cuda12x==13.6.0; sys_platform != 'darwin'
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# Keep JAX version consistent with dl-gpu-requirements.txt
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jax==0.4.33; sys_platform != 'darwin'
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jaxlib==0.4.33; sys_platform != 'darwin'
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