[perf, trtllm] feat: Add Nsight support for rollout server mode (trtllm) #905
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: e2e_sft_llm_ascend | |
| 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" | |
| # Megatron | |
| - "!verl/workers/**/megatron_*.py" | |
| # Entrypoints | |
| - ".github/workflows/e2e_sft_llm_ascend.yml" | |
| - "examples/data_preprocess/gsm8k.py" | |
| - "tests/special_e2e/sft" | |
| - "verl/trainer/fsdp_sft_trainer.py" | |
| - "verl/trainer/config/sft_trainer.yaml" | |
| # Cancel jobs on the same ref if a new one is triggered | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.ref }} | |
| cancel-in-progress: ${{ github.ref != 'refs/heads/main' }} | |
| # Declare permissions just read content. | |
| permissions: | |
| contents: read | |
| jobs: | |
| e2e_sft_llm_ascend: | |
| if: github.repository_owner == 'verl-project' | |
| runs-on: linux-aarch64-a2-8 | |
| timeout-minutes: 90 # Increase this timeout value as needed | |
| container: | |
| image: swr.ap-southeast-1.myhuaweicloud.com/base_image/ascend-ci/verl/verl:verl-8.3.rc1-910b-ubuntu22.04-py3.11-latest | |
| options: >- | |
| --shm-size 16g | |
| env: | |
| HF_ENDPOINT: "https://hf-mirror.com" | |
| HF_HUB_ENABLE_HF_TRANSFER: "0" # This is more stable | |
| steps: | |
| - name: Check npu and CANN info | |
| run: | | |
| cat /usr/local/Ascend/ascend-toolkit/latest/"$(uname -i)"-linux/ascend_toolkit_install.info | |
| npu-smi info | |
| - name: Check initial pip list from image | |
| run: | | |
| pip list | |
| - name: Checkout verl-project/verl repo | |
| uses: actions/checkout@v4 | |
| with: | |
| fetch-depth: 0 | |
| clean: true | |
| - name: Install the current repository | |
| run: | | |
| pip install -r requirements-npu.txt | |
| pip install -e . | |
| pip install git+https://github.com/ByteDance-Seed/VeOmni.git@v0.1.4 | |
| pip install pandas==2.3.3 | |
| pip uninstall -y mbridge | |
| pip install git+https://github.com/ISEEKYAN/mbridge.git@89eb10 | |
| - name: Check final pip list | |
| run: | | |
| pip list | |
| - name: Prepare weights | |
| run: | | |
| ln -s /root/.cache/models ~/models | |
| - name: Prepare gsm8k dataset | |
| run: | | |
| python3 examples/data_preprocess/gsm8k_multiturn_sft.py --local_dataset_path ${HOME}/.cache/datasets/openai/gsm8k | |
| - name: Running GSM8K E2E training tests on 8 NPUs with rmpad using function rm | |
| run: | | |
| ray stop --force | |
| bash tests/special_e2e/sft/run_sft.sh | |
| - name: Running GSM8K E2E training tests on 8 NPUs w/o rmpad using function rm | |
| run: | | |
| ray stop --force | |
| RM_PAD=False bash tests/special_e2e/sft/run_sft.sh | |
| - name: Running GSM8K E2E training tests on 8 NPUs with sequence parallism | |
| run: | | |
| ray stop --force | |
| SP_SIZE=2 bash tests/special_e2e/sft/run_sft.sh | |
| - name: Running GSM8K E2E training tests with LoRA | |
| run: | | |
| ray stop --force | |
| LORA_RANK=32 bash tests/special_e2e/sft/run_sft.sh | |
| - name: Run GSM8K E2E training and resume tests resuming from the checkpoint manager | |
| run: | | |
| ray stop --force | |
| LORA_RANK=32 RESUME_MODE=auto TOTAL_TRAIN_STEP=2 bash tests/special_e2e/sft/run_sft.sh | |
| - name: Running GSM8K E2E training tests with multiturn and various configs and compare results | |
| run: | | |
| export PYTHONPATH=$PYTHONPATH:/Megatron-LM | |
| VPP_SIZE=null bash tests/special_e2e/sft/test_sft_engine_all.sh |