[perf, data] feat: DP workload balance #5002
Workflow file for this run
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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: checkpoint_converter | ||
| # latest version: Megatron-LM core_r0.11.0 https://github.com/NVIDIA/Megatron-LM/tree/core_r0.11.0 | ||
| 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" | ||
| # Entrypoints | ||
| - ".github/workflows/checkpoint_converter.yml" | ||
| - ".github/workflows/e2e_ppo_trainer_megatron.yml" | ||
| - "examples/data_preprocess/gsm8k.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 | ||
| jobs: | ||
| checkpoint_converter: | ||
| runs-on: [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_HUB_ENABLE_HF_TRANSFER: "0" # This is more stable | ||
| container: | ||
| image: verlai/verl:app-verl0.5-transformers4.55.4-sglang0.4.10.post2-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] | ||
| - name: Download Model to Use | ||
| run: | | ||
| # huggingface-cli download Qwen/Qwen2.5-0.5B --local-dir ${HOME}/models/Qwen/Qwen2.5-0.5B | ||
| # huggingface-cli download deepseek-ai/deepseek-coder-1.3b-instruct --local-dir ${HOME}/models/deepseek-ai/deepseek-coder-1.3b-instruct | ||
| export HF_HUB_OFFLINE=1 | ||
| - name: Running Huggingface to Megatron dist_ckpt converter (Qwen/Qwen2.5-0.5B) | ||
| run: | | ||
| ray stop --force | ||
| python scripts/converter_hf_to_mcore.py --hf_model_path=${HOME}/models/Qwen/Qwen2.5-0.5B --output_path checkpoints/Qwen/Qwen2.5-0.5B --test | ||
| - name: Running Huggingface to Megatron dist_ckpt converter (deepseek-ai/deepseek-coder-1.3b-instruct) | ||
| run: | | ||
| ray stop --force | ||
| python scripts/converter_hf_to_mcore.py --hf_model_path=${HOME}/models/deepseek-ai/deepseek-coder-1.3b-instruct --output_path checkpoints/deepseek-ai/deepseek-coder-1.3b-instruct --test | ||
| - name: Clean up | ||
| run: | | ||
| rm -rf checkpoints | ||
| checkpoint_converter_large_moe_models: | ||
| runs-on: [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_HUB_ENABLE_HF_TRANSFER: "0" # This is more stable | ||
| HF_ENDPOINT: "https://hf-mirror.com" | ||
| container: | ||
| image: verlai/verl:app-verl0.5-transformers4.55.4-sglang0.4.10.post2-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] | ||
| - name: Download Model to Use | ||
| run: | | ||
| # huggingface-cli download Qwen/Qwen1.5-MoE-A2.7B-Chat --local-dir ${HOME}/models/Qwen/Qwen1.5-MoE-A2.7B-Chat | ||
| export HF_HUB_OFFLINE=1 | ||
| - name: Running Huggingface to Megatron dist_ckpt CPU converter (Qwen/Qwen1.5-MoE-A2.7B-Chat) | ||
| run: | | ||
| ray stop --force | ||
| python scripts/converter_hf_to_mcore.py --hf_model_path=${HOME}/models/Qwen/Qwen1.5-MoE-A2.7B-Chat --output_path checkpoints/Qwen/Qwen1.5-MoE-A2.7B-Chat --use_cpu_initialization | ||
| - name: Running distributed Huggingface to Megatron dist_ckpt CPU converter (Qwen/Qwen1.5-MoE-A2.7B-Chat) | ||
| run: | | ||
| ray stop --force | ||
| torchrun --nproc_per_node 8 --nnodes 1 scripts/converter_hf_to_mcore.py --hf_model_path=${HOME}/models/Qwen/Qwen1.5-MoE-A2.7B-Chat --output_path checkpoints/Qwen/Qwen1.5-MoE-A2.7B-Chat_dist --use_cpu_initialization | ||
| - name: clean up | ||
| run: | | ||
| rm -rf checkpoints | ||
