Compatibility Test on Dispatch #6
Workflow file for this run
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| name: Compatibility Test on Dispatch | |
| on: | |
| workflow_dispatch: | |
| inputs: | |
| torch_version: | |
| type: string | |
| description: torch version, separated by comma | |
| required: true | |
| cuda_version: | |
| type: string | |
| description: cuda version, separated by comma | |
| required: true | |
| jobs: | |
| matrix_preparation: | |
| name: Prepare Container List | |
| runs-on: ubuntu-latest | |
| outputs: | |
| matrix: ${{ steps.set-matrix.outputs.matrix }} | |
| steps: | |
| - id: set-matrix | |
| env: | |
| TORCH_VERSIONS: ${{ inputs.torch_version }} | |
| CUDA_VERSIONS: ${{ inputs.cuda_version }} | |
| run: | | |
| IFS=',' | |
| DOCKER_IMAGE=() | |
| for tv in $TORCH_VERSIONS | |
| do | |
| for cv in $CUDA_VERSIONS | |
| do | |
| DOCKER_IMAGE+=("\"hpcaitech/pytorch-cuda:${tv}-${cv}\"") | |
| done | |
| done | |
| container=$( IFS=',' ; echo "${DOCKER_IMAGE[*]}" ) | |
| container="[${container}]" | |
| echo "$container" | |
| echo "::set-output name=matrix::{\"container\":$(echo "$container")}" | |
| build: | |
| name: Test for PyTorch Compatibility | |
| needs: matrix_preparation | |
| if: github.repository == 'hpcaitech/ColossalAI' | |
| runs-on: [self-hosted, 8-gpu] | |
| strategy: | |
| fail-fast: false | |
| matrix: ${{fromJson(needs.matrix_preparation.outputs.matrix)}} | |
| container: | |
| image: ${{ matrix.container }} | |
| options: --gpus all --rm -v /data/scratch/cifar-10:/data/scratch/cifar-10 | |
| timeout-minutes: 120 | |
| steps: | |
| - name: Install dependencies | |
| run: | | |
| pip install -U pip setuptools wheel --user | |
| - uses: actions/checkout@v2 | |
| with: | |
| repository: hpcaitech/TensorNVMe | |
| ssh-key: ${{ secrets.SSH_KEY_FOR_CI }} | |
| path: TensorNVMe | |
| - name: Install tensornvme | |
| run: | | |
| cd TensorNVMe | |
| apt update && apt install -y cmake | |
| pip install -r requirements.txt | |
| pip install -v . | |
| - uses: actions/checkout@v2 | |
| with: | |
| ssh-key: ${{ secrets.SSH_KEY_FOR_CI }} | |
| - name: Download cub for CUDA 10.2 | |
| run: | | |
| CUDA_VERSION=$(nvcc -V | awk -F ',| ' '/release/{print $6}') | |
| # check if it is CUDA 10.2 | |
| # download cub | |
| if [ "$CUDA_VERSION" = "10.2" ]; then | |
| wget https://github.com/NVIDIA/cub/archive/refs/tags/1.8.0.zip | |
| unzip 1.8.0.zip | |
| cp -r cub-1.8.0/cub/ colossalai/kernel/cuda_native/csrc/kernels/include/ | |
| fi | |
| - name: Install Colossal-AI | |
| run: | | |
| CUDA_EXT=1 pip install -v . | |
| pip install -r requirements/requirements-test.txt | |
| - name: Unit Testing | |
| run: | | |
| PYTHONPATH=$PWD pytest tests | |
| env: | |
| DATA: /data/scratch/cifar-10 | |
| NCCL_SHM_DISABLE: 1 | |
| LD_LIBRARY_PATH: /github/home/.tensornvme/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 |