@@ -25,12 +25,12 @@ defaults:
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jobs :
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generate-matrix :
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- uses : pytorch/test-infra/.github/workflows/generate_binary_build_matrix.yml@main
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+ uses : pytorch/test-infra/.github/workflows/generate_binary_build_matrix.yml@release/2.6-torchcodec
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with :
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package-type : wheel
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os : linux
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test-infra-repository : pytorch/test-infra
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- test-infra-ref : main
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+ test-infra-ref : release/2.6-torchcodec
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with-cpu : disable
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with-xpu : disable
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with-rocm : disable
@@ -41,12 +41,12 @@ jobs:
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strategy :
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fail-fast : false
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name : Build and Upload wheel
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- uses : pytorch/test-infra/.github/workflows/build_wheels_linux.yml@main
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+ uses : pytorch/test-infra/.github/workflows/build_wheels_linux.yml@release/2.6-torchcodec
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with :
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repository : pytorch/torchcodec
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ref : " "
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test-infra-repository : pytorch/test-infra
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- test-infra-ref : main
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+ test-infra-ref : release/2.6-torchcodec
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build-matrix : ${{ needs.generate-matrix.outputs.matrix }}
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post-script : packaging/post_build_script.sh
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smoke-test-script : packaging/fake_smoke_test.py
@@ -65,10 +65,10 @@ jobs:
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# PR.
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# For the actual release we should add that label and change this to
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# include more python versions.
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- python-version : ['3.9']
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+ python-version : ['3.9', '3.10', '3.11', '3.12', '3.13' ]
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cuda-version : ['11.8', '12.4', '12.6']
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# TODO: put back ffmpeg 5 https://github.com/pytorch/torchcodec/issues/325
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- ffmpeg-version-for-tests : ['6', '7']
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+ ffmpeg-version-for-tests : ['5', ' 6', '7']
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container :
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image : " pytorch/manylinux2_28-builder:cuda${{ matrix.cuda-version }}"
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options : " --gpus all -e NVIDIA_DRIVER_CAPABILITIES=video,compute,utility"
@@ -106,7 +106,7 @@ 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 : |
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