# # 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: Check PR Title name: reward_model on: # Trigger the workflow on push or pull request, # but only for the main branch push: branches: - main - v0.* pull_request: branches: - main - v0.* paths: - "verl/**/*.py" # Entrypoints - ".github/workflows/reward_model.yml" - "tests/workers/reward_model/**" # Declare permissions just read content. permissions: contents: read # 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' }} env: IMAGE: "verl-ci-cn-beijing.cr.volces.com/verlai/verl:app-verl0.5-transformers4.55.4-sglang0.4.10.post2-mcore0.13.0-te2.2" DYNAMIC_RUNNER_ENDPOINT: "https://sd10g3clalm04ug7alq90.apigateway-cn-beijing.volceapi.com/runner" TRANSFORMERS_VERSION: "4.56.2" 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: "${{ env.IMAGE }}" reward_model: needs: setup runs-on: [ "${{ needs.setup.outputs.runner-label || 'L20x8' }}" ] timeout-minutes: 20 # 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 SGL_DISABLE_TP_MEMORY_INBALANCE_CHECK: "True" NCCL_SHM_DISABLE: "1" NCCL_P2P_DISABLE: "1" steps: - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 with: fetch-depth: 0 - name: Install the current repository run: | pip3 install -e .[test] # - name: Download model config files # run: | # hf download Skywork/Skywork-Reward-V2-Llama-3.2-1B --local-dir $HOME/models/Skywork/Skywork-Reward-V2-Llama-3.2-1B # hf download verl-team/GenRM-CI-Test-1.5B --local-dir $HOME/models/verl-team/GenRM-CI-Test-1.5B - name: Running discriminative reward model tests on 8 L20 GPUs run: | unset http_proxy https_proxy HTTP_PROXY HTTPS_PROXY pytest -s -x tests/workers/reward_model/test_discriminative_reward_model.py - name: Running generative reward model tests on 8 L20 GPUs run: | unset http_proxy https_proxy HTTP_PROXY HTTPS_PROXY pytest -s -x tests/workers/reward_model/test_generative_reward_model.py cleanup: runs-on: ubuntu-latest needs: [ setup, reward_model ] if: always() steps: - id: destroy-runner uses: volcengine/vemlp-github-runner@v1 with: mode: "destroy" faas-url: "${{ env.DYNAMIC_RUNNER_ENDPOINT }}" mlp-task-id: "${{ needs.setup.outputs.mlp-task-id }}"