Update llm perf #361
Workflow file for this run
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| name: CLI CUDA OnnxRuntime 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: | |
| run_cli_cuda_onnxruntime_tests: | |
| runs-on: [single-gpu, nvidia-gpu, a10, ci] | |
| steps: | |
| - name: Checkout | |
| uses: actions/checkout@v3 | |
| - name: Pull image | |
| run: docker pull pytorch/pytorch:2.2.2-cuda11.8-cudnn8-runtime | |
| - name: Run tests | |
| uses: addnab/docker-run-action@v3 | |
| with: | |
| image: pytorch/pytorch:2.2.2-cuda11.8-cudnn8-runtime | |
| options: | | |
| --rm | |
| --gpus all | |
| --shm-size 64G | |
| --env MKL_THREADING_LAYER=GNU | |
| --volume ${{ github.workspace }}:/workspace | |
| --workdir /workspace | |
| run: | | |
| pip install -e .[testing,onnxruntime-gpu,diffusers,timm] | |
| pytest -x -s -k "cli and cuda and onnxruntime" |