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name: Tests
on:
pull_request:
push:
branches:
- nightly
- main
- release/*
workflow_dispatch:
jobs:
unittests-linux:
strategy:
matrix:
python-version:
- "3.10"
- "3.14"
runner: ["linux.12xlarge"]
gpu-arch-type: ["cpu"]
include:
- python-version: "3.10"
runner: linux.g5.4xlarge.nvidia.gpu
gpu-arch-type: cuda
gpu-arch-version: "12.8"
fail-fast: false
uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
permissions:
id-token: write
contents: read
with:
repository: pytorch/vision
runner: ${{ matrix.runner }}
gpu-arch-type: ${{ matrix.gpu-arch-type }}
gpu-arch-version: ${{ matrix.gpu-arch-version }}
timeout: 120
test-infra-ref: main
script: |
set -euo pipefail
export PYTHON_VERSION=${{ matrix.python-version }}
export GPU_ARCH_TYPE=${{ matrix.gpu-arch-type }}
export GPU_ARCH_VERSION=${{ matrix.gpu-arch-version }}
./.github/scripts/unittest.sh
unittests-rocm:
# ROCm runners are not on EC2 and authenticate to AWS (ECR) via GitHub OIDC.
# Fork PRs don't get an OIDC id-token from GitHub, so the job can't pull the
# docker image and always fails. Skip it for fork PRs; it still runs on
# same-repo PRs, push, and workflow_dispatch.
if: github.event_name != 'pull_request' || github.event.pull_request.head.repo.full_name == github.repository
strategy:
matrix:
python-version:
- "3.10"
runner: ["linux.rocm.gpu.ecosystem.gfx950.1"]
gpu-arch-type: ["rocm"]
gpu-arch-version: ["7.1"]
fail-fast: false
uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
permissions:
id-token: write
contents: read
with:
repository: pytorch/vision
runner: ${{ matrix.runner }}
gpu-arch-type: ${{ matrix.gpu-arch-type }}
gpu-arch-version: ${{ matrix.gpu-arch-version }}
# ROCm self-hosted runners are not on EC2, so they can't pull the default
# ECR-hosted docker image (no AWS credentials). Use a Docker Hub image and
# run without sudo, matching pytorch/ao and pytorch/kineto ROCm jobs.
docker-image: pytorch/manylinux2_28-builder:rocm7.1
no-sudo: true
timeout: 120
test-infra-ref: main
script: |
set -euo pipefail
export PYTHON_VERSION=${{ matrix.python-version }}
export GPU_ARCH_TYPE=${{ matrix.gpu-arch-type }}
export GPU_ARCH_VERSION=${{ matrix.gpu-arch-version }}
./.github/scripts/setup-env.sh
eval "$($(which conda) shell.bash hook)" && conda deactivate && conda activate ci
echo '::group::Install testing utilities'
pip install --progress-bar=off "pytest<8" pytest-mock pytest-cov expecttest!=0.2.0 requests
echo '::endgroup::'
echo '::group::Run image tests'
pytest --junit-xml="${RUNNER_TEST_RESULTS_DIR}/test-results.xml" -v --durations=25 test/test_image.py
echo '::endgroup::'
unittests-macos:
strategy:
matrix:
python-version:
- "3.10"
- "3.14"
runner: ["macos-m1-stable"]
fail-fast: false
uses: pytorch/test-infra/.github/workflows/macos_job.yml@main
with:
repository: pytorch/vision
timeout: 240
runner: ${{ matrix.runner }}
test-infra-ref: main
script: |
set -euo pipefail
export PYTHON_VERSION=${{ matrix.python-version }}
export GPU_ARCH_TYPE=cpu
export GPU_ARCH_VERSION=''
${CONDA_RUN} ./.github/scripts/unittest.sh
unittests-windows:
strategy:
matrix:
python-version:
# - "3.10" # Fails with annoying SSL issue. Whatever.
- "3.14"
runner: ["windows.4xlarge"]
gpu-arch-type: ["cpu"]
# TODO: put GPU testing back
# include:
# - python-version: "3.10"
# runner: windows.g5.4xlarge.nvidia.gpu
# gpu-arch-type: cuda
# gpu-arch-version: "12.8"
fail-fast: false
uses: pytorch/test-infra/.github/workflows/windows_job.yml@main
permissions:
id-token: write
contents: read
with:
repository: pytorch/vision
runner: ${{ matrix.runner }}
gpu-arch-type: ${{ matrix.gpu-arch-type }}
gpu-arch-version: ${{ matrix.gpu-arch-version }}
timeout: 120
test-infra-ref: main
script: |
set -euxo pipefail
export PYTHON_VERSION=${{ matrix.python-version }}
export VC_YEAR=2022
export VSDEVCMD_ARGS=""
export GPU_ARCH_TYPE=${{ matrix.gpu-arch-type }}
export GPU_ARCH_VERSION=${{ matrix.gpu-arch-version }}
./.github/scripts/unittest.sh
unittests-extended:
uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
permissions:
id-token: write
contents: read
if: contains(github.event.pull_request.labels.*.name, 'run-extended')
with:
repository: pytorch/vision
test-infra-ref: main
script: |
set -euo pipefail
export PYTHON_VERSION="3.10"
export GPU_ARCH_TYPE=cpu
export GPU_ARCH_VERSION=''
./.github/scripts/setup-env.sh
# Prepare conda
CONDA_PATH=$(which conda)
eval "$(${CONDA_PATH} shell.bash hook)"
conda activate ci
echo '::group::Pre-download model weights'
pip install --progress-bar=off aiohttp aiofiles tqdm
python scripts/download_model_urls.py
echo '::endgroup::'
echo '::group::Install testing utilities'
# TODO: remove the <8 constraint on pytest when https://github.com/pytorch/vision/issues/8238 is closed
pip install --progress-bar=off "pytest<8"
echo '::endgroup::'
echo '::group::Run extended unittests'
export PYTORCH_TEST_WITH_EXTENDED=1
pytest --junit-xml="${RUNNER_TEST_RESULTS_DIR}/test-results.xml" -v --durations=25 test/test_extended_*.py
echo '::endgroup::'