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.lightning/workflows/pytorch.yml

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@@ -123,8 +123,7 @@ run: |
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extra=$(python -c "print({'lightning': 'pytorch-'}.get('${PACKAGE_NAME}', ''))")
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# Use find-links to prefer CUDA-specific packages from PyTorch index
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uv pip install -e ".[${extra}dev]" --upgrade \
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--find-links https://download.pytorch.org/whl/cu${CUDA_VERSION_MM}
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uv pip install -e ".[${extra}dev]" --upgrade
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echo "Ensure only a single package is installed"
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if [ "${PACKAGE_NAME}" == "pytorch" ]; then

requirements/pytorch/test.txt

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@@ -21,5 +21,6 @@ uvicorn # for `ServableModuleValidator` # not setting version as re-defined in
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tensorboard >=2.11, <2.21.0 # for `TensorBoardLogger`
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torch-tensorrt; platform_system == "Linux" and python_version >= "3.12"
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# TODO: resolve GPU test failures for TensorRT due to defaulting to cu13 installations
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torch-tensorrt<2.9.0; platform_system == "Linux" and python_version >= "3.12"
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huggingface-hub

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