add test configurations for quantization with onnxruntime, awq, bnb (#95) #96
Workflow file for this run
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| name: CLI CUDA Pytorch Tests | |
| on: | |
| workflow_dispatch: | |
| push: | |
| branches: [main] | |
| pull_request: | |
| types: [opened, reopened, synchronize] | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} | |
| cancel-in-progress: true | |
| jobs: | |
| build_image_and_run_cli_cuda_pytorch_tests: | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| image: | |
| [ | |
| { torch_cuda: cu118, torch_pre_release: 0, cuda_version: 11.8.0 }, | |
| { torch_cuda: cu121, torch_pre_release: 1, cuda_version: 12.1.1 }, | |
| ] | |
| runs-on: nvidia-gpu | |
| steps: | |
| - name: Checkout | |
| uses: actions/checkout@v3 | |
| - name: Build image | |
| run: docker build | |
| --file docker/cuda.dockerfile | |
| --build-arg USER_ID=$(id -u) | |
| --build-arg GROUP_ID=$(id -g) | |
| --build-arg TORCH_CUDA=${{ matrix.image.torch_cuda }} | |
| --build-arg CUDA_VERSION=${{ matrix.image.cuda_version }} | |
| --tag opt-bench-cuda:${{ matrix.image.cuda_version }} | |
| . | |
| - name: Get GPUs with most free memory | |
| id: get_devices | |
| run: | | |
| echo "::set-output name=devices::$(nvidia-smi --query-gpu=memory.free,index --format=csv,noheader,nounits | sort -n -k1 | tail -n 2 | awk -F', ' '{print $2}' | xargs echo -n | sed 's/ /,/g' | awk '{print $0}')" | |
| - name: Run tests | |
| run: docker run | |
| --rm | |
| --pid host | |
| --shm-size 64G | |
| --env USE_CUDA="1" | |
| --gpus '"device=${{ steps.get_devices.outputs.devices }}"' | |
| --volume $(pwd):/workspace/optimum-benchmark | |
| --workdir /workspace/optimum-benchmark | |
| --entrypoint /bin/bash | |
| opt-bench-cuda:${{ matrix.image.cuda_version }} | |
| -c "pip install requests && pip install -e .[testing,diffusers,timm,deepspeed,peft,bitsandbytes,autoawq] && pytest -k 'cli and cuda and pytorch' -x" |