# # 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_ppo_trainer_megatron_sglang_deprecate 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: - disabled_ci pull_request: branches: - disabled_ci paths: - "**/*.py" # Other entrypoints - "!docker/**" # Docs - "!**/*.md" - "!docs/**" - "!examples/**" - "!tests/**" - "!verl/trainer/main_*.py" - "!verl/trainer/fsdp_sft_trainer.py" # Recipes - "!recipe/**" # FSDP - "!verl/workers/**/*dp_*.py" # Entrypoints - ".github/workflows/e2e_ppo_trainer_megatron_sglang.yml" - "examples/data_preprocess/gsm8k.py" - "examples/data_preprocess/geo3k.py" - "tests/special_e2e/run_ppo_trainer_megatron.sh" - "verl/trainer/main_ppo.py" - "verl/trainer/config/ppo_megatron_trainer.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-verl0.6-transformers4.56.1-sglang0.5.2-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: "${{ env.IMAGE }}" e2e_ppo_trainer_megatron-qwen3: needs: setup runs-on: ["${{ needs.setup.outputs.runner-label || 'L20x8' }}"] timeout-minutes: 60 # Increase this timeout value as needed env: HTTP_PROXY: ${{ secrets.PROXY_HTTP }} HTTPS_PROXY: ${{ secrets.PROXY_HTTPS }} NO_PROXY: "localhost,127.0.0.1,hf-mirror.com" HF_ENDPOINT: "https://hf-mirror.com" HF_HUB_ENABLE_HF_TRANSFER: "0" # This is more stable steps: - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 with: fetch-depth: 0 - name: Install the current repository run: | pip3 install --no-deps -e .[test] - name: Prepare GSM8K dataset run: | python3 examples/data_preprocess/gsm8k.py - name: Running GSM8K E2E training tests with 3D parallelism on 8 L20 GPUs with Megatron (Qwen3) with validation and saving run: | ray stop --force ENGINE=sglang ALL_OFFLOAD=True VAL_BEFORE_TRAIN=True TEST_FREQ=1 SAVE_FREQ=1 MODEL_ID=Qwen/Qwen3-0.6B bash tests/special_e2e/run_ppo_trainer_megatron.sh - name: Running GSM8K E2E training tests with 3D parallelism on 8 L20 GPUs with Megatron (Qwen3) testing learning rate scheduler run: | ray stop --force ENGINE=sglang LR_WARMUP_STEPS=1 TOTAL_TRAIN_STEPS=2 MODEL_ID=Qwen/Qwen3-0.6B bash tests/special_e2e/run_ppo_trainer_megatron.sh - name: Test Megatron checkpoints merging function (Qwen3 Actor and Critic) run: | exp_name="qwen3-0.6b-megatron-gsm8k-minimal" python -m verl.model_merger test --backend megatron --tie-word-embedding --local_dir checkpoints/verl-test/${exp_name}/global_step_1/actor --test_hf_dir checkpoints/verl-test/${exp_name}/global_step_1/actor/huggingface python -m verl.model_merger test --backend megatron --is-value-model --local_dir checkpoints/verl-test/${exp_name}/global_step_1/critic --test_hf_dir checkpoints/verl-test/${exp_name}/global_step_1/critic/huggingface - name: clean up run: | rm -rf checkpoints cleanup: runs-on: ubuntu-latest needs: [ setup, e2e_ppo_trainer_megatron-deepseek, e2e_ppo_trainer_megatron-qwen3, e2e_ppo_trainer_megatron-different-train-infer-tp-qwen-tie-embedding, e2e_ppo_trainer_megatron-qwen-override-transformer-config, e2e_ppo_trainer_megatron-deepseek-override-transformer-config, e2e_ppo_trainer_megatron-moe-expert-parallel, e2e_ppo_trainer_megatron-qwen2_5vl-3b, ] if: always() steps: - id: destroy-runner uses: volcengine/vemlp-github-runner@v1 with: mode: "destroy" faas-url: "${{ env.DYNAMIC_RUNNER_ENDPOINT }}" mlp-task-id: "${{ needs.setup.outputs.mlp-task-id }}"