Enable ROCM in CI #6504
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| name: Run Regression Tests | |
| on: | |
| push: | |
| branches: | |
| - main | |
| - 'gh/**' | |
| pull_request: | |
| branches: | |
| - main | |
| - 'gh/**' | |
| concurrency: | |
| group: regression_test-${{ github.workflow }}-${{ github.ref == 'refs/heads/main' && github.run_number || github.ref }} | |
| cancel-in-progress: true | |
| env: | |
| HF_TOKEN: ${{ secrets.HF_TOKEN }} | |
| permissions: | |
| id-token: write | |
| contents: read | |
| jobs: | |
| test-nightly: | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| include: | |
| - name: CUDA Nightly | |
| runs-on: linux.g5.12xlarge.nvidia.gpu | |
| torch-spec: '--pre torch --index-url https://download.pytorch.org/whl/nightly/cu124' | |
| gpu-arch-type: "cuda" | |
| gpu-arch-version: "12.4" | |
| - name: CPU Nightly | |
| runs-on: linux.4xlarge | |
| torch-spec: '--pre torch --index-url https://download.pytorch.org/whl/nightly/cpu' | |
| gpu-arch-type: "cpu" | |
| gpu-arch-version: "" | |
| - name: ROCM Nightly | |
| runs-on: linux.rocm.gpu | |
| torch-spec: '--pre torch --index-url https://download.pytorch.org/whl/nightly/rocm6.3' | |
| gpu-arch-type: "rocm" | |
| gpu-arch-version: "6.3" | |
| uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@rocm_experiment | |
| with: | |
| timeout: 120 | |
| no-sudo: ${{ matrix.gpu-arch-type == 'rocm' }} | |
| continue-on-error: ${{ matrix.gpu-arch-type == 'rocm' }} | |
| test-infra-ref: rocm_experiment | |
| runner: ${{ matrix.runs-on }} | |
| gpu-arch-type: ${{ matrix.gpu-arch-type }} | |
| gpu-arch-version: ${{ matrix.gpu-arch-version }} | |
| script: | | |
| conda create -n venv python=3.9 -y | |
| conda activate venv | |
| python -m pip install --upgrade pip | |
| pip install ${{ matrix.torch-spec }} | |
| pip install -r dev-requirements.txt | |
| pip install . | |
| export CONDA=$(dirname $(dirname $(which conda))) | |
| export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH | |
| pytest test --verbose -s | |
| test: | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| include: | |
| - name: CUDA 2.3 | |
| runs-on: linux.g5.12xlarge.nvidia.gpu | |
| torch-spec: 'torch==2.3.0' | |
| gpu-arch-type: "cuda" | |
| gpu-arch-version: "12.1" | |
| - name: CUDA 2.4 | |
| runs-on: linux.g5.12xlarge.nvidia.gpu | |
| torch-spec: 'torch==2.4.0' | |
| gpu-arch-type: "cuda" | |
| gpu-arch-version: "12.1" | |
| - name: CUDA 2.5.1 | |
| runs-on: linux.g5.12xlarge.nvidia.gpu | |
| torch-spec: 'torch==2.5.1 --index-url https://download.pytorch.org/whl/cu121' | |
| gpu-arch-type: "cuda" | |
| gpu-arch-version: "12.1" | |
| - name: CPU 2.3 | |
| runs-on: linux.4xlarge | |
| torch-spec: 'torch==2.3.0 --index-url https://download.pytorch.org/whl/cpu' | |
| gpu-arch-type: "cpu" | |
| gpu-arch-version: "" | |
| - name: CPU 2.4 | |
| runs-on: linux.4xlarge | |
| torch-spec: 'torch==2.4.0 --index-url https://download.pytorch.org/whl/cpu' | |
| gpu-arch-type: "cpu" | |
| gpu-arch-version: "" | |
| - name: CPU 2.5.1 | |
| runs-on: linux.4xlarge | |
| torch-spec: 'torch==2.5.1 --index-url https://download.pytorch.org/whl/cpu' | |
| gpu-arch-type: "cpu" | |
| gpu-arch-version: "" | |
| uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | |
| with: | |
| timeout: 120 | |
| runner: ${{ matrix.runs-on }} | |
| gpu-arch-type: ${{ matrix.gpu-arch-type }} | |
| gpu-arch-version: ${{ matrix.gpu-arch-version }} | |
| script: | | |
| conda create -n venv python=3.9 -y | |
| conda activate venv | |
| echo "::group::Install newer objcopy that supports --set-section-alignment" | |
| python -m pip install --upgrade pip | |
| pip install ${{ matrix.torch-spec }} | |
| pip install -r dev-requirements.txt | |
| pip install . | |
| export CONDA=$(dirname $(dirname $(which conda))) | |
| export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH | |
| pytest test --verbose -s |