use our previous approaches #5
Workflow file for this run
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| name: SSH into our runners | ||
| on: | ||
| workflow_dispatch: | ||
| inputs: | ||
| runner_type: | ||
| description: 'Type of runner to test (a10 or t4)' | ||
| required: true | ||
| docker_image: | ||
| description: 'Name of the Docker image' | ||
| required: true | ||
| env: | ||
| IS_GITHUB_CI: "1" | ||
| HF_HUB_READ_TOKEN: ${{ secrets.HF_HUB_READ_TOKEN }} | ||
| HF_HOME: /mnt/cache | ||
| TRANSFORMERS_IS_CI: yes | ||
| OMP_NUM_THREADS: 8 | ||
| MKL_NUM_THREADS: 8 | ||
| RUN_SLOW: yes # For gated repositories, we still need to agree to share information on the Hub repo. page in order to get access. # This token is created under the bot `hf-transformers-bot`. | ||
| SIGOPT_API_TOKEN: ${{ secrets.SIGOPT_API_TOKEN }} | ||
| TF_FORCE_GPU_ALLOW_GROWTH: true | ||
| RUN_PT_TF_CROSS_TESTS: 1 | ||
| jobs: | ||
| ssh_runner: | ||
| name: SSH | ||
| runs-on: [single-gpu, nvidia-gpu, ${{ github.event.inputs.runner_type }}, ci] | ||
| container: | ||
| image: ${{ github.event.inputs.docker_image }} | ||
| options: --gpus all --privileged --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/ | ||
| steps: | ||
| - name: Update clone | ||
| working-directory: /transformers | ||
| run: | | ||
| git fetch && git checkout ${{ github.sha }} | ||
| - name: Cleanup | ||
| working-directory: /transformers | ||
| run: | | ||
| rm -rf tests/__pycache__ | ||
| rm -rf tests/models/__pycache__ | ||
| rm -rf reports | ||
| - name: Show installed libraries and their versions | ||
| working-directory: /transformers | ||
| run: pip freeze | ||
| - name: NVIDIA-SMI | ||
| run: | | ||
| nvidia-smi | ||
| - name: Tailscale # In order to be able to SSH when a test fails | ||
| uses: huggingface/tailscale-action@v1 | ||
| with: | ||
| authkey: ${{ secrets.TAILSCALE_SSH_AUTHKEY }} | ||
| slackChannel: ${{ secrets.SLACK_CIFEEDBACK_CHANNEL }} | ||
| slackToken: ${{ secrets.SLACK_CIFEEDBACK_BOT_TOKEN }} | ||
| waitForSSH: true | ||
