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### What does this PR do? Solve https://github.com/volcengine/verl/pull/3530#issuecomment-3332840437
179 lines
7.0 KiB
YAML
179 lines
7.0 KiB
YAML
# # Tests layout
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# Each folder under tests/ corresponds to a test category for a sub-namespace in verl. For instance:
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# - `tests/trainer` for testing functionality related to `verl/trainer`
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# - `tests/models` for testing functionality related to `verl/models`
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# - ...
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# There are a few folders with `special_` prefix, created for special purposes:
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# - `special_distributed`: unit tests that must run with multiple GPUs
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# - `special_e2e`: end-to-end tests with training/generation scripts
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# - `special_npu`: tests for NPUs
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# - `special_sanity`: a suite of quick sanity tests
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# - `special_standalone`: a set of test that are designed to run in dedicated environments
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# Accelerators for tests
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# - 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`.
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# - For test scripts with `on_cpu.py` name suffix would be tested on CPU resources in linux environment.
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# # Workflow layout
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# All CI tests are configured by yaml files in `.github/workflows/`. Here's an overview of all test configs:
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# 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`
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# 2. Some heavy multi-GPU unit tests, such as `model.yml`, `vllm.yml`, `sgl.yml`
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# 3. End-to-end tests: `e2e_*.yml`
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# 4. Unit tests
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# - `cpu_unit_tests.yml`, run pytest on all scripts with file name pattern `tests/**/test_*_on_cpu.py`
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# - `gpu_unit_tests.yml`, run pytest on all scripts with file without the `on_cpu.py` suffix.
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# - Since cpu/gpu unit tests by default runs all tests under `tests`, please make sure tests are manually excluded in them when
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# - new workflow yaml is added to `.github/workflows`
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# - new tests are added to workflow mentioned in 2.
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name: sgl
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on:
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# workflow_dispatch: # Manual
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# Trigger the workflow on push or pull request,
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# but only for the main branch
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push:
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branches:
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- main
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- v0.*
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paths:
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- "**/*.py"
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- .github/workflows/sgl.yml
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pull_request:
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branches:
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- main
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- v0.*
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paths:
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- "**/*.py"
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# Other entrypoints
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- "!examples/**"
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- "!tests/**"
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- "!verl/trainer/main_*.py"
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- "!verl/trainer/fsdp_sft_trainer.py"
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# FSDP
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- "!verl/workers/**/*dp_*.py"
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# Megatron
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- "!verl/workers/**/megatron_*.py"
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# vLLM
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- "!**/*vllm*"
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# Recipes
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- "!recipe/**"
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# Entrypoints
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- ".github/workflows/sgl.yml"
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- "tests/rollout/*sglang*"
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- "tests/rollout/async_rollout_utils.py"
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- "tests/workers/rollout/*interaction*"
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# Cancel jobs on the same ref if a new one is triggered
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concurrency:
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group: ${{ github.workflow }}-${{ github.ref }}
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cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
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# Declare permissions just read content.
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permissions:
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contents: read
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env:
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IMAGE: "verl-ci-cn-beijing.cr.volces.com/verlai/verl:app-verl0.6-transformers4.56.1-sglang0.5.2-mcore0.13.0-te2.2"
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DYNAMIC_RUNNER_ENDPOINT: "https://sd10g3clalm04ug7alq90.apigateway-cn-beijing.volceapi.com/runner"
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jobs:
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setup:
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if: github.repository_owner == 'volcengine'
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runs-on: ubuntu-latest
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outputs:
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runner-label: ${{ steps.create-runner.outputs.runner-label }}
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mlp-task-id: ${{ steps.create-runner.outputs.mlp-task-id }}
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steps:
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- uses: actions/checkout@v4
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- id: create-runner
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uses: volcengine/vemlp-github-runner@v1
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with:
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mode: "create"
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faas-url: "${{ env.DYNAMIC_RUNNER_ENDPOINT }}"
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mlp-image: "${{ env.IMAGE }}"
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sgl:
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needs: setup
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runs-on: ["${{ needs.setup.outputs.runner-label || 'L20x8' }}"]
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timeout-minutes: 35 # Increase this timeout value as needed
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env:
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HTTP_PROXY: ${{ secrets.PROXY_HTTP }}
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HTTPS_PROXY: ${{ secrets.PROXY_HTTPS }}
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NO_PROXY: "localhost,127.0.0.1,hf-mirror.com"
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HF_ENDPOINT: "https://hf-mirror.com"
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HF_HUB_ENABLE_HF_TRANSFER: 1
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SGL_DISABLE_TP_MEMORY_INBALANCE_CHECK: "True"
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NCCL_SHM_DISABLE: "1"
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NCCL_P2P_DISABLE: "1"
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steps:
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- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
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with:
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fetch-depth: 0
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- name: Install the current repository
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run: |
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pip3 install hf_transfer fastmcp
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pip3 install -e .[test]
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# - name: Download Model to Use
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# run: |
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# huggingface-cli download Qwen/Qwen2.5-0.5B --local-dir ${HOME}/models/Qwen/Qwen2.5-0.5B
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# huggingface-cli download Qwen/Qwen2.5-1.5B-Instruct --local-dir ${HOME}/models/Qwen/Qwen2.5-1.5B-Instruct
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# huggingface-cli download Qwen/Qwen2.5-VL-3B-Instruct --local-dir ${HOME}/models/Qwen/Qwen2.5-VL-3B-Instruct
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# export HF_HUB_OFFLINE=1
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- name: Prepare gsm8k dataset
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run: |
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ray stop --force
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python3 examples/data_preprocess/gsm8k.py --local_dataset_path ${HOME}/models/hf_data/gsm8k
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- name: Test the latest SGLang Rollout async with agent loop
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run: |
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ROLLOUT_NAME=sglang pytest -svvv tests/experimental/agent_loop
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# huggingface-cli download verl-team/gsm8k-v0.4.1 --repo-type dataset --local-dir ~/verl-data/gsm8k
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- name: Test the latest SGLang
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run: |
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cd tests/workers/rollout
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torchrun --nnodes=1 --nproc_per_node=2 $(which pytest) -s test_sglang_spmd.py
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- name: Test the latest SGLang Rollout async with interaction
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run: |
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cd tests/workers/rollout
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torchrun --nnodes=1 --nproc_per_node=2 $(which pytest) -s test_sglang_async_rollout_w_interaction.py
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- name: Test the latest SGLang Multi Interaction
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run: |
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cd tests/workers/rollout
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torchrun --nnodes=1 --nproc_per_node=2 $(which pytest) -s test_sglang_multi_interaction.py
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- name: Test the latest SGLang Rollout async with tool
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run: |
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cd tests/workers/rollout
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torchrun --nnodes=1 --nproc_per_node=2 $(which pytest) -s test_sglang_async_rollout_w_tools.py
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- name: Test the latest SGLang Rollout async with sandbox fusion tool
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run: |
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cd tests/workers/rollout
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pytest -s test_sglang_async_rollout_sf_tools.py
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- name: Test the latest SGLang Rollout async with search tool
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run: |
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cd tests/workers/rollout
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pytest -s test_sglang_async_rollout_search_tools.py
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- name: Test the latest SGLang Rollout async with mcp search tool
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run: |
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cd tests/workers/rollout
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pytest -s test_sglang_async_rollout_mcp_tools.py
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# Note(haibin.lin): for any new test, please update gpu_unit_tests.yaml to avoid repeated tests
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- name: Test the latest SGLang Rollout async with multimodal delta
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run: |
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cd tests/workers/rollout
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pytest -s test_sglang_async_rollout_multimodal_delta.py
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cleanup:
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runs-on: ubuntu-latest
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needs: [setup, sgl]
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if: always()
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steps:
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- id: destroy-runner
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uses: volcengine/vemlp-github-runner@v1
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with:
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mode: "destroy"
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faas-url: "${{ env.DYNAMIC_RUNNER_ENDPOINT }}"
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mlp-task-id: "${{ needs.setup.outputs.mlp-task-id }}"
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