Added compatibility with uint8 to SSIM metric (#3045) #29
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| name: Run HVD-specific unit tests on GPUs | |
| on: | |
| push: | |
| paths: | |
| - "ignite/**" | |
| - "tests/ignite/**" | |
| - "tests/run_gpu_tests.sh" | |
| - "tests/run_code_style.sh" | |
| - "examples/**.py" | |
| - "requirements-dev.txt" | |
| - ".github/workflows/gpu-hvd-tests.yml" | |
| workflow_dispatch: | |
| concurrency: | |
| # <workflow_name>-<branch_name>-<true || commit_sha (if branch is protected)> | |
| group: gpu-hvd-tests-${{ github.ref_name }}-${{ !(github.ref_protected) || github.sha }} | |
| cancel-in-progress: true | |
| # Cherry-picked from https://github.com/pytorch/test-infra/blob/main/.github/workflows/linux_job.yml | |
| jobs: | |
| gpu-hvd-tests: | |
| strategy: | |
| matrix: | |
| pytorch-channel: [pytorch, ] | |
| fail-fast: false | |
| env: | |
| DOCKER_IMAGE: "pytorch/conda-builder:cuda11.8" | |
| REPOSITORY: ${{ github.repository }} | |
| PR_NUMBER: ${{ github.event.pull_request.number }} | |
| runs-on: linux.8xlarge.nvidia.gpu | |
| timeout-minutes: 60 | |
| steps: | |
| - name: Clean workspace | |
| run: | | |
| echo "::group::Cleanup debug output" | |
| sudo rm -rfv "${GITHUB_WORKSPACE}" | |
| mkdir -p "${GITHUB_WORKSPACE}" | |
| echo "::endgroup::" | |
| - name: Checkout repository (pytorch/test-infra) | |
| uses: actions/checkout@v3 | |
| with: | |
| # Support the use case where we need to checkout someone's fork | |
| repository: pytorch/test-infra | |
| path: test-infra | |
| - name: Setup Linux | |
| uses: ./test-infra/.github/actions/setup-linux | |
| - name: Pull docker image | |
| uses: ./test-infra/.github/actions/pull-docker-image | |
| with: | |
| docker-image: ${{ env.DOCKER_IMAGE }} | |
| - name: Checkout repository (${{ github.repository }}) | |
| uses: actions/checkout@v3 | |
| with: | |
| # Support the use case where we need to checkout someone's fork | |
| repository: ${{ github.repository }} | |
| ref: ${{ github.ref }} | |
| path: ${{ github.repository }} | |
| fetch-depth: 1 | |
| - name: Start Pytorch container | |
| working-directory: ${{ github.repository }} | |
| run: | | |
| docker run --name pthd --gpus=all --rm \ | |
| --cap-add=SYS_PTRACE \ | |
| --detach \ | |
| --ipc=host \ | |
| --security-opt seccomp=unconfined \ | |
| --shm-size=2g \ | |
| --tty \ | |
| --ulimit stack=10485760:83886080 \ | |
| -v $PWD:/work \ | |
| -w /work \ | |
| ${DOCKER_IMAGE} | |
| script=$(cat << EOF | |
| set -xe | |
| nvidia-smi | |
| ls -alh | |
| conda --version | |
| python --version | |
| EOF | |
| ) | |
| docker exec -t pthd /bin/bash -c "${script}" | |
| - name: Install PyTorch and dependencies | |
| continue-on-error: false | |
| run: | | |
| script=$(cat << EOF | |
| set -xe | |
| # Install PyTorch | |
| if [ "${{ matrix.pytorch-channel }}" == "pytorch" ]; then | |
| pip install --upgrade torch torchvision --index-url https://download.pytorch.org/whl/cu118 | |
| else | |
| pip install --upgrade --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cu118 | |
| fi | |
| python -c "import torch; print(torch.__version__, ', CUDA is available: ', torch.cuda.is_available()); exit(not torch.cuda.is_available())" | |
| pip list | |
| # Install dependencies | |
| pip install -r requirements-dev.txt | |
| pip install -e . | |
| EOF | |
| ) | |
| docker exec -t pthd /bin/bash -c "${script}" | |
| - name: Install Horovod with NCCL GPU ops | |
| run: | | |
| script=$(cat << EOF | |
| set -xe | |
| HOROVOD_GPU_OPERATIONS=NCCL HOROVOD_WITH_PYTORCH=1 pip install horovod[pytorch] | |
| horovodrun --check-build | |
| pip list | |
| EOF | |
| ) | |
| docker exec -t pthd /bin/bash -c "${script}" | |
| - name: Run GPU and CPU Unit HVD Tests | |
| run: | | |
| script=$(cat << EOF | |
| set -xe | |
| bash tests/run_gpu_tests.sh 2 hvd | |
| CUDA_VISIBLE_DEVICES="" pytest --cov ignite --cov-append --cov-report term-missing --cov-report xml -vvv tests/ -m distributed -k hvd | |
| EOF | |
| ) | |
| docker exec -t pthd /bin/bash -c "${script}" | |
| - name: Upload coverage to Codecov | |
| uses: codecov/codecov-action@v3 | |
| with: | |
| file: ${{ github.repository }}/coverage.xml | |
| flags: gpu-2 | |
| fail_ci_if_error: false | |
| - name: Run examples in container | |
| continue-on-error: false | |
| run: | | |
| SCRIPT=$(cat << EOF | |
| set -xe | |
| # Install additional example dependencies | |
| pip install fire | |
| # Check training on CIFAR10, run with horovod backend using horovodrun | |
| # initial run | |
| CI=1 horovodrun -np 2 python -u examples/cifar10/main.py run --backend=horovod --checkpoint_every=200 --stop_iteration=500 | |
| # resume | |
| CI=1 horovodrun -np 2 python examples/cifar10/main.py run --checkpoint_every=200 --num_epochs=7 --resume-from=/tmp/output-cifar10/resnet18_backend-horovod-2_stop-on-500/training_checkpoint_400.pt | |
| # Check training on CIFAR10 using spawn | |
| # initial run | |
| CI=1 python -u examples/cifar10/main.py run --backend=horovod --nproc_per_node=2 --checkpoint_every=200 --stop_iteration=500 | |
| # resume | |
| CI=1 python -u examples/cifar10/main.py run --backend=horovod --nproc_per_node=2 --checkpoint_every=200 --num_epochs=7 --resume-from=/tmp/output-cifar10/resnet18_backend-horovod-2_stop-on-500/training_checkpoint_400.pt | |
| EOF | |
| ) | |
| docker exec -t pthd /bin/bash -c "${script}" | |
| - name: Teardown Linux | |
| if: ${{ always() }} | |
| uses: ./test-infra/.github/actions/teardown-linux |