Update package requirements #5
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| # # 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: vllm | |
| 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: | |
| - "**/*.py" | |
| # Other entrypoints | |
| - "!examples/**" | |
| - "!tests/**" | |
| - "!verl/trainer/main_*.py" | |
| - "!verl/trainer/fsdp_sft_trainer.py" | |
| # Recipes | |
| - "!recipe/**" | |
| # FSDP | |
| - "!verl/workers/**/*dp_*.py" | |
| # Megatron | |
| - "!verl/workers/**/megatron_*.py" | |
| # SGLang | |
| - "!**/*sglang*" | |
| # Entrypoints | |
| - ".github/workflows/vllm.yml" | |
| - "tests/special_e2e/generation" | |
| - "tests/workers/rollout" | |
| - "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 | |
| jobs: | |
| vllm: | |
| runs-on: [L20x8] | |
| timeout-minutes: 35 # 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 | |
| container: | |
| image: verlai/verl:app-verl0.5-transformers4.55.4-vllm0.10.0-mcore0.13.0-te2.2 | |
| options: --gpus all --shm-size=10g | |
| steps: | |
| - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 | |
| with: | |
| fetch-depth: 0 | |
| - name: Install the current repository | |
| run: | | |
| pip3 install -e .[test] | |
| pip install tensordict==0.6.2 | |
| - name: Download Model to Use | |
| run: | | |
| huggingface-cli download Qwen/Qwen2.5-0.5B-Instruct | |
| huggingface-cli download Qwen/Qwen2.5-1.5B-Instruct | |
| huggingface-cli download 'Qwen/Qwen2-7B-Instruct' | |
| huggingface-cli download 'deepseek-ai/deepseek-llm-7b-chat' | |
| huggingface-cli download 'OldKingMeister/Qwen2.5-1.5B-Instruct-YaRN' --local-dir $HOME/models/OldKingMeister/Qwen2.5-1.5B-Instruct-YaRN | |
| export HF_HUB_OFFLINE=1 | |
| # Disable requests to avoid network errors | |
| - name: Prepare gsm8k dataset | |
| run: | | |
| ray stop --force | |
| python3 examples/data_preprocess/gsm8k.py | |
| - name: Test the latest vLLM | |
| run: | | |
| torchrun --standalone --nnodes=1 --nproc_per_node=4 $(which pytest) -s tests/workers/rollout/rollout_vllm/test_vllm_spmd.py | |
| - name: Test the latest vLLM on model with rope scaling | |
| run: | | |
| torchrun --standalone --nnodes=1 --nproc_per_node=4 $(which pytest) -s tests/workers/rollout/rollout_vllm/test_vllm_model_rope_scaling.py | |
| - name: Run Qwen 0.5B generation test | |
| run: | | |
| cd tests/special_e2e/generation | |
| export OUTPUT_PATH="${HOME}/data/gen/qwen_05_gen_test.parquet" | |
| MODEL_ID=Qwen/Qwen2.5-0.5B-Instruct NGPUS_PER_NODE=4 GEN_TP=2 bash ./run_gen_qwen05.sh | |
| rm -rf "${OUTPUT_PATH}" | |
| - name: Run Qwen 0.5B generation test when world_size == 1 | |
| run: | | |
| cd tests/special_e2e/generation | |
| export OUTPUT_PATH="${HOME}/data/gen/qwen_05_gen_test.parquet" | |
| MODEL_ID=Qwen/Qwen2.5-0.5B-Instruct NGPUS_PER_NODE=1 GEN_TP=1 bash ./run_gen_qwen05.sh | |
| rm -rf "${OUTPUT_PATH}" | |
| - name: Test the latest vLLM Rollout async with agent loop | |
| run: | | |
| huggingface-cli download verl-team/gsm8k-v0.4.1 --repo-type dataset --local-dir ~/verl-data/gsm8k | |
| ROLLOUT_NAME=vllm pytest -svvv tests/experimental/agent_loop | |
| # Note(haibin.lin): for any new test, please update gpu_unit_tests.yaml to avoid repeated tests |