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Rely on stable torch
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.github/workflows/docs.yaml

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@@ -91,7 +91,7 @@ jobs:
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run: ${CONDA_RUN} python -m pip install --upgrade pip
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- name: Install PyTorch
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run: |
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${CONDA_RUN} python -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cu${{ env.cuda_version_without_periods }}
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${CONDA_RUN} python -m pip install torch torchvision --index-url https://download.pytorch.org/whl/cu${{ env.cuda_version_without_periods }}
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${CONDA_RUN} python -c 'import torch; print(f"{torch.__version__}"); print(f"{torch.__file__}"); print(f"{torch.cuda.is_available()=}")'
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- name: Install torchcodec from the wheel
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run: |

.github/workflows/linux_cuda_wheel.yaml

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run: ${CONDA_RUN} python -m pip install --upgrade pip
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- name: Install PyTorch
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run: |
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${CONDA_RUN} python -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cu${{ env.cuda_version_without_periods }}
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${CONDA_RUN} python -m pip install torch torchvision --index-url https://download.pytorch.org/whl/cu${{ env.cuda_version_without_periods }}
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${CONDA_RUN} python -c 'import torch; print(f"{torch.__version__}"); print(f"{torch.__file__}"); print(f"{torch.cuda.is_available()=}")'
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- name: Install torchcodec from the wheel
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run: |

.github/workflows/linux_wheel.yaml

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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 --index-url https://download.pytorch.org/whl/nightly/cpu
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python -m pip install torch --index-url https://download.pytorch.org/whl/cpu
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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"`

.github/workflows/macos_wheel.yaml

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- name: Install PyTorch
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run: |
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python -m pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cpu
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python -m pip install torch --index-url https://download.pytorch.org/whl/cpu
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- name: Install torchcodec from the wheel
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run: |

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