fix use_gpu error #6
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| # TODO: This workflow will not pass in CI yet. It needs: | ||
| # - uploading dummy reward model to verl CI | ||
| # # 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_trtllm | ||
| 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 | ||
| - "!verl/trainer/fsdp_sft_trainer.py" | ||
| # Recipes | ||
| - "!recipe/**" | ||
| # FSDP | ||
| - "!verl/workers/**/*dp_*.py" | ||
| pull_request: | ||
| branches: | ||
| - main | ||
| - v0.* | ||
| 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 | ||
| - "verl/workers/rollout/trtllm_rollout/*" | ||
| - ".github/workflows/e2e_ppo_trainer_megatron_trtllm.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:trtllm1.2.0rc6" | ||
| 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: "${{ env.IMAGE }}" | ||
| e2e_grpo_trainer_fsdp-qwen2: | ||
| needs: setup | ||
| runs-on: ["${{ needs.setup.outputs.runner-label || 'L20x8' }}"] | ||
| timeout-minutes: 30 # 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 | ||
| RAY_EXPERIMENTAL_NOSET_CUDA_VISIBLE_DEVICES: "1" | ||
| steps: | ||
| - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 | ||
| with: | ||
| fetch-depth: 0 | ||
| - name: Install the current repository | ||
| run: | | ||
| pip3 install -r requirements-test.txt | ||
| pip3 install --no-deps -e . | ||
| - name: Prepare GSM8K and MATH datasets | ||
| run: | | ||
| python3 examples/data_preprocess/gsm8k.py --local_dataset_path ${HOME}/models/hf_data/gsm8k | ||
| python3 examples/data_preprocess/math_dataset.py --local_dataset_path ${HOME}/models/hf_data/math | ||
| - name: Running GSM8K E2E training tests with FSDP on 8 L20 GPUs (Qwen) | ||
| run: | | ||
| ray stop --force | ||
| DATADIR=${HOME}/data \ | ||
| bash examples/grpo_trainer/run_qwen2-7b_math_trtllm.sh 4 \ | ||
| trainer.total_training_steps=2 | ||
| - name: clean up | ||
| run: | | ||
| rm -rf checkpoints | ||
| e2e_grpo_trainer_megatron-qwen2: | ||
| needs: setup | ||
| runs-on: ["${{ needs.setup.outputs.runner-label || 'L20x8' }}"] | ||
| timeout-minutes: 30 # 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 | ||
| RAY_EXPERIMENTAL_NOSET_CUDA_VISIBLE_DEVICES: "1" | ||
| steps: | ||
| - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 | ||
| with: | ||
| fetch-depth: 0 | ||
| - name: Install the current repository | ||
| run: | | ||
| pip3 install -r requirements-test.txt | ||
| pip3 install --no-deps -e . | ||
| - name: Prepare GSM8K and MATH datasets | ||
| run: | | ||
| python3 examples/data_preprocess/gsm8k.py --local_dataset_path ${HOME}/models/hf_data/gsm8k | ||
| python3 examples/data_preprocess/math_dataset.py --local_dataset_path ${HOME}/models/hf_data/math | ||
| - name: Running GSM8K E2E training tests with 3D parallelism on 8 L20 GPUs with Megatron (Qwen) | ||
| run: | | ||
| ray stop --force | ||
| DATADIR=${HOME}/data \ | ||
| bash examples/grpo_trainer/run_qwen2-7b_math_megatron_trtllm.sh 1 \ | ||
| trainer.total_training_steps=2 | ||
| - name: clean up | ||
| run: | | ||
| rm -rf checkpoints | ||
| # e2e_ppo_trainer_megatron-qwen2: | ||
| # needs: setup | ||
| # runs-on: ["${{ needs.setup.outputs.runner-label || 'L20x8' }}"] | ||
| # timeout-minutes: 10 # 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 | ||
| # RAY_EXPERIMENTAL_NOSET_CUDA_VISIBLE_DEVICES: "1" # TRTLLM requires this. | ||
| # steps: | ||
| # - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 | ||
| # with: | ||
| # fetch-depth: 0 | ||
| # - name: Install the current repository | ||
| # run: | | ||
| # pip3 install -r requirements-test.txt | ||
| # pip3 install --no-deps -e . | ||
| # - name: Prepare GSM8K dataset | ||
| # run: | | ||
| # python3 examples/data_preprocess/gsm8k.py --local_dataset_path ${HOME}/models/hf_data/gsm8k | ||
| # - name: Running GSM8K E2E training tests with 3D parallelism on 8 L20 GPUs with Megatron (Qwen), dummy RM, and train tp > infer tp | ||
| # run: | | ||
| # ray stop --force | ||
| # ENGINE=trtllm \ | ||
| # TOTAL_TRAIN_STEPS=1 \ | ||
| # VAL_BEFORE_TRAIN=True \ | ||
| # TEST_FREQ=1 \ | ||
| # SAVE_FREQ=1 \ | ||
| # TRAIN_TP=2 \ | ||
| # INFER_TP=1 \ | ||
| # RM_TP=8 \ | ||
| # RM_NUM_WORKERS=2 \ | ||
| # MODEL_ID=Qwen/Qwen2.5-1.5B \ | ||
| # bash tests/special_e2e/run_ppo_trainer_megatron.sh \ | ||
| # actor_rollout_ref.rollout.mode="async" \ | ||
| # actor_rollout_ref.rollout.calculate_log_probs=True \ | ||
| # +reward_model.rollout.engine_kwargs.trtllm.disable_overlap_scheduler=True | ||
| # - name: Running GSM8K E2E training tests with 3D parallelism on 8 L20 GPUs with Megatron (Qwen), dummy RM, and train tp < infer tp | ||
| # run: | | ||
| # ray stop --force | ||
| # ENGINE=trtllm \ | ||
| # TOTAL_TRAIN_STEPS=1 \ | ||
| # VAL_BEFORE_TRAIN=True \ | ||
| # TEST_FREQ=1 \ | ||
| # SAVE_FREQ=1 \ | ||
| # TRAIN_TP=1 \ | ||
| # INFER_TP=2 \ | ||
| # RM_TP=8 \ | ||
| # RM_NUM_WORKERS=2 \ | ||
| # MODEL_ID=Qwen/Qwen2.5-1.5B \ | ||
| # bash tests/special_e2e/run_ppo_trainer_megatron.sh \ | ||
| # actor_rollout_ref.rollout.mode="async" \ | ||
| # actor_rollout_ref.rollout.calculate_log_probs=True \ | ||
| # +reward_model.rollout.engine_kwargs.trtllm.disable_overlap_scheduler=True | ||
| # - name: clean up | ||
| # run: | | ||
| # rm -rf checkpoints | ||
| cleanup: | ||
| runs-on: ubuntu-latest | ||
| needs: | ||
| [ | ||
| setup, | ||
| e2e_grpo_trainer_fsdp-qwen2, | ||
| e2e_grpo_trainer_megatron-qwen2, | ||
| e2e_ppo_trainer_megatron-qwen3, | ||
| ] | ||
| if: always() | ||
| steps: | ||
| - id: destroy-runner | ||
| uses: volcengine/vemlp-github-runner@v1 | ||
| with: | ||
| mode: "destroy" | ||
| faas-url: "${{ env.DYNAMIC_RUNNER_ENDPOINT }}" | ||
| mlp-task-id: "${{ needs.setup.outputs.mlp-task-id }}" | ||
