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use cuda torch
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.github/workflows/linux_cuda_aarch64_wheel.yaml

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@@ -89,7 +89,7 @@ jobs:
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run: python -m pip install --upgrade pip
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- name: Install PyTorch
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run: |
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python -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu
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${CONDA_RUN} python -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cu${{ env.cuda_version_without_periods }}
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- name: Install torchcodec from the wheel
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run: |
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wheel_path=`find pytorch/torchcodec/dist -type f -name "*.whl"`

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