# # Tests layout # Each folder under tests/ corresponds to a test category for a sub-namespace in verl. For instance: # - `tests/trainer` for testing functionality related to `verl/trainer` # - `tests/models` for testing functionality related to `verl/models` # - ... # There are a few folders with `special_` prefix, created for special purposes: # - `special_distributed`: unit tests that must run with multiple GPUs # - `special_e2e`: end-to-end tests with training/generation scripts # - `special_npu`: tests for NPUs # - `special_sanity`: a suite of quick sanity tests # - `special_standalone`: a set of test that are designed to run in dedicated environments # Accelerators for tests # - By default tests are run with GPU available, except for the ones under `special_npu`, and any test script whose name ends with `on_cpu.py`. # - For test scripts with `on_cpu.py` name suffix would be tested on CPU resources in linux environment. # # Workflow layout # All CI tests are configured by yaml files in `.github/workflows/`. Here's an overview of all test configs: # 1. A list of always triggered CPU sanity tests: `check-pr-title.yml`, `secrets_scan.yml`, `check-pr-title,yml`, `pre-commit.yml`, `doc.yml` # 2. Some heavy multi-GPU unit tests, such as `model.yml`, `vllm.yml`, `sgl.yml` # 3. End-to-end tests: `e2e_*.yml` # 4. Unit tests # - `cpu_unit_tests.yml`, run pytest on all scripts with file name pattern `tests/**/test_*_on_cpu.py` # - `gpu_unit_tests.yml`, run pytest on all scripts with file without the `on_cpu.py` suffix. # - Since cpu/gpu unit tests by default runs all tests under `tests`, please make sure tests are manually excluded in them when # - new workflow yaml is added to `.github/workflows` # - new tests are added to workflow mentioned in 2. name: e2e_eval_aime24 on: # Trigger the workflow on push or pull request, # but only for the main branch # For push, for now only anti-patterns are specified so it is more conservative # and achieves higher coverage. push: branches: - main - v0.* paths: - "**/*.py" # Other entrypoints - "!*.md" - "!docker/**" - "!docs/**" - "!examples/**" - "!tests/**" - "!verl/trainer/main_*.py" - "!verl/trainer/fsdp_sft_trainer.py" - "!recipe/**" - "recipe/r1" - "!recipe/r1/README.md" pull_request: branches: - main paths: - "**/*.py" # Other entrypoints - "!*.md" - "!docker/**" - "!docs/**" - "!examples/**" - "!tests/**" - "!verl/trainer/main_*.py" - "!verl/trainer/fsdp_sft_trainer.py" # Home - "recipe/r1" - "!recipe/r1/README.md" # Other recipes - "!recipe/**" # Entrypoints - ".github/workflows/e2e_eval_aime24.yml" - "tests/special_e2e/run_r1_distill_qwen_aime24_eval.sh" - "verl/trainer/main_generation.py" - "verl/trainer/config/generation.yaml" # Cancel jobs on the same ref if a new one is triggered concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: ${{ github.ref != 'refs/heads/main' }} # Declare permissions just read content. permissions: contents: read env: IMAGE: "verl-ci-cn-beijing.cr.volces.com/verlai/verl:app-verl0.5-transformers4.55.4-vllm0.10.0-mcore0.13.0-te2.2" DYNAMIC_RUNNER_ENDPOINT: "https://sd10g3clalm04ug7alq90.apigateway-cn-beijing.volceapi.com/runner" jobs: setup: if: github.repository_owner == 'volcengine' runs-on: ubuntu-latest outputs: runner-label: ${{ steps.create-runner.outputs.runner-label }} mlp-task-id: ${{ steps.create-runner.outputs.mlp-task-id }} steps: - uses: actions/checkout@v4 - id: create-runner uses: volcengine/vemlp-github-runner@v1 with: mode: "create" faas-url: "${{ env.DYNAMIC_RUNNER_ENDPOINT }}" mlp-image: "${{ env.IMAGE }}" e2e_eval_aime24: needs: setup runs-on: ["${{ needs.setup.outputs.runner-label || 'L20x8' }}"] timeout-minutes: 40 # Increase this timeout value as needed env: HTTP_PROXY: ${{ secrets.PROXY_HTTP }} HTTPS_PROXY: ${{ secrets.PROXY_HTTPS }} NO_PROXY: "localhost,127.0.0.1,hf-mirror.com" HF_ENDPOINT: "https://hf-mirror.com" HF_HUB_ENABLE_HF_TRANSFER: "0" # This is more stable steps: - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 with: fetch-depth: 0 - name: Install the current repository run: | pip3 install --no-deps -e .[test,gpu,math] pip3 install math-verify transformers==4.56.2 - name: Prepare aime24 dataset run: | ray stop --force python3 recipe/r1/data_process.py --task aime2024 - name: Running generation and evaluation in AIME 2024 run: | ray stop --force bash tests/special_e2e/run_r1_distill_qwen_aime24_eval.sh cleanup: runs-on: ubuntu-latest needs: [setup, e2e_eval_aime24] if: always() steps: - id: destroy-runner uses: volcengine/vemlp-github-runner@v1 with: mode: "destroy" faas-url: "${{ env.DYNAMIC_RUNNER_ENDPOINT }}" mlp-task-id: "${{ needs.setup.outputs.mlp-task-id }}"