Run Scheduled Events Action #65
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| name: Run Scheduled Events Action | |
| permissions: | |
| actions: write | |
| contents: write | |
| issues: write | |
| pull-requests: write | |
| on: | |
| workflow_dispatch: | |
| schedule: | |
| - cron: '0 0 10 * *' | |
| jobs: | |
| run-scheduled-events: | |
| runs-on: ready | |
| env: | |
| SCHEDULE_CONFIG: ${{ secrets.SCHEDULE_CONFIG }} # Secret storing the schedule JSON | |
| steps: | |
| - name: Fork Maintenance System | |
| uses: Cemberk/Fork-Maintenance-System@artifacts | |
| with: | |
| platform: 'gfx90a' | |
| github_token: ${{ secrets.CRED_TOKEN }} | |
| upstream_repo: "https://github.com/huggingface/transformers" | |
| schedule_json: | | |
| ${{ env.SCHEDULE_CONFIG }} | |
| pr_branch_prefix: "scheduled-merge" | |
| requirements_command: | | |
| rm -rf $(pip show numpy | grep Location: | awk '{print $2}')/numpy* && | |
| sudo sed -i 's/torchaudio//g' examples/pytorch/_tests_requirements.txt && | |
| pip install -r examples/pytorch/_tests_requirements.txt && | |
| git restore examples/pytorch/_tests_requirements.txt && | |
| pip install --no-cache-dir GPUtil azureml azureml-core tokenizers ninja cerberus sympy sacremoses sacrebleu==1.5.1 sentencepiece scipy scikit-learn urllib3 && pip install huggingface_hub datasets && | |
| pip install parameterized && | |
| pip install -e . | |
| pip install --upgrade torch torchvision --extra-index-url https://download.pytorch.org/whl/rocm5.6 | |
| #sudo sed -i 's/torchaudio//g' examples/pytorch/_tests_requirements.txt && pip install -r examples/pytorch/_tests_requirements.txt && git restore examples/pytorch/_tests_requirements.txt && pip install --no-cache-dir GPUtil azureml azureml-core tokenizers ninja cerberus sympy sacremoses sacrebleu==1.5.1 sentencepiece scipy scikit-learn urllib3 && pip install huggingface_hub datasets && pip install parameterized && pip install -e . | |
| unit_test_command: folders=\$(python3 -c 'import os; workspace = \"/myworkspace\"; repo_root = os.path.join(workspace, \"tests\"); models_dir = os.path.join(repo_root, \"models\"); model_tests = os.listdir(models_dir); d1 = sorted([d for d in os.listdir(repo_root) if os.path.isdir(os.path.join(repo_root, d)) and d != \"models\"]); d2 = sorted([os.path.join(\"models\", x) for x in model_tests if os.path.isdir(os.path.join(models_dir, x))]); d = d2 + d1; print(\" \".join(d[:5]))'); echo \$folders; for folder in \${folders[@]}; do pytest tests/\${folder} -v --make-reports=huggingface_unit_tests_\${machine_type}_run_models_gpu_\${folder} -rfEs --continue-on-collection-errors -m \"not not_device_test\" -p no:cacheprovider; done; allstats=\$(find reports -name stats.txt); for stat in \${allstats[@]}; do echo \$stat; cat \$stat; done | |
| performance_test_command: echo \"python examples/pytorch/language-modeling/run_mlm.py --model_name_or_path bert-base-uncased --dataset_name wikitext --dataset_config_name wikitext-2-raw-v1 --do_train --do_eval --output_dir /tmp/test-mlm --per_device_train_batch_size 8 --per_device_eval_batch_size 8 --max_steps 500\" | |
| docker_image: rocm/pytorch:latest | |
| docker_options: --device=/dev/kfd --device=/dev/dri --group-add video --shm-size 16G --network=host |