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Jun 6, 2022
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5 changes: 4 additions & 1 deletion .github/workflows/build-m1-binaries.yml
Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,7 @@ on:
push:
branches:
- nightly
- main
workflow_dispatch:
jobs:
build_wheels:
Expand All @@ -30,7 +31,7 @@ jobs:
. packaging/pkg_helpers.bash
setup_build_version
WHL_NAME=torchvision-${BUILD_VERSION}-cp${PY_VERS/.}-cp${PY_VERS/.}-macosx_11_0_arm64.whl
conda create -yp ${ENV_NAME} python=${PY_VERS} numpy libpng "jpeg<=9b" wheel pkg-config
conda create -yp ${ENV_NAME} python=${PY_VERS} numpy libpng jpeg wheel pkg-config
conda run -p ${ENV_NAME} python3 -mpip install torch --pre --extra-index-url=https://download.pytorch.org/whl/nightly
conda run -p ${ENV_NAME} python3 -mpip install delocate
conda run -p ${ENV_NAME} python3 setup.py bdist_wheel
Expand All @@ -54,11 +55,13 @@ jobs:
conda run --cwd /tmp -p ${ENV_NAME} python3 -c "import torchvision;print(torchvision.io.read_image('${PWD}/gallery/assets/dog1.jpg').shape)"
conda env remove -p ${ENV_NAME}
- name: Upload wheel to GitHub
if: ${{ github.event_name == 'push' && steps.extract_branch.outputs.branch == 'nightly' }}
uses: actions/upload-artifact@v3
with:
name: torchvision-py${{ matrix.py_vers }}-macos11-m1
path: dist/
- name: Upload wheel to S3
if: ${{ github.event_name == 'push' && steps.extract_branch.outputs.branch == 'nightly' }}
shell: arch -arch arm64 bash {0}
env:
AWS_ACCESS_KEY_ID: ${{ secrets.AWS_PYTORCH_UPLOADER_ACCESS_KEY_ID }}
Expand Down
45 changes: 45 additions & 0 deletions .github/workflows/test-m1.yml
Original file line number Diff line number Diff line change
@@ -0,0 +1,45 @@
name: Unit-tests on M1
on:
pull_request:
paths:
- .github/workflows/test-m1.yml
push:
branches:
- nightly
- main
workflow_dispatch:
jobs:
tests:
name: "Unit-tests on M1"
runs-on: macos-m1
strategy:
matrix:
py_vers: [ "3.8"]

steps:
- name: Checkout repository
uses: actions/checkout@v2
- name: Install TorchVision
shell: arch -arch arm64 bash {0}
env:
ENV_NAME: conda-env-${{ github.run_id }}
PY_VERS: ${{ matrix.py_vers }}
run: |
. ~/miniconda3/etc/profile.d/conda.sh
# Needed for JPEG library detection as setup.py detects conda presence by running `shlex.which('conda')`
export PATH=~/miniconda3/bin:$PATH
set -ex
conda create -yp ${ENV_NAME} python=${PY_VERS} numpy libpng jpeg scipy
conda run -p ${ENV_NAME} python3 -mpip install torch --extra-index-url=https://download.pytorch.org/whl/nightly
conda run -p ${ENV_NAME} python3 setup.py develop
conda run -p ${ENV_NAME} python3 -mpip install pytest pytest-mock av
- name: Run tests
shell: arch -arch arm64 bash {0}
env:
ENV_NAME: conda-env-${{ github.run_id }}
PY_VERS: ${{ matrix.py_vers }}
run: |
. ~/miniconda3/etc/profile.d/conda.sh
set -ex
conda run -p ${ENV_NAME} --no-capture-output python3 -u -mpytest -v --tb=long --durations 20
conda env remove -p ${ENV_NAME}