# # 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: GPU unit tests

on:
  # Trigger the workflow on push or pull request,
  # but only for the main branch
  push:
    branches:
      - main
      - v0.4.x
    paths:
      - "**/*.py"
      - .github/workflows/gpu_unit_tests.yml
  pull_request:
    branches:
      - main
      - v0.4.x
    paths:
      # The order that you define paths patterns matters:
      # A matching negative pattern (prefixed with !) after a positive match will exclude the path.
      # A matching positive pattern after a negative match will include the path again.
      - "**/*.py"
      # Other entrypoints
      - "!examples/**"
      - "!verl/trainer/main_*.py"
      - "!verl/trainer/fsdp_sft_trainer.py"
      - "!recipe/**"
      # Entrypoints
      - .github/workflows/gpu_unit_tests.yml
      - "tests/**test_*.py"
      # Ignore CPU tests
      - "!tests/*_on_cpu.py"

# 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:
  gpu_unit_tests:
    if: github.repository_owner == 'volcengine'
    runs-on: [L20x8]
    timeout-minutes: 60 # 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: 1
    container:
      image: verlai/verl:app-verl0.6-transformers4.56.1-sglang0.5.2-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 hf_transfer
          pip3 install --no-deps -e .[test]
          pip3 install --upgrade "ray>=2.40.0"
          pip3 install cupy-cuda12x
          pip3 install mlflow
      - name: Download Model to Use
        run: |
          huggingface-cli download Qwen/Qwen2.5-0.5B-Instruct
          huggingface-cli download Qwen/Qwen2.5-1.5B-Instruct
          export HF_HUB_OFFLINE=1
        # Disable requests to avoid network errors
      - name: Run all GPU unit tests
        run: |
          pytest -s -x --ignore-glob="*test_special_*.py" --ignore-glob='*on_cpu.py' --ignore-glob="*test_vllm*" --ignore-glob="*_sglang*" --ignore-glob="*_hf_rollout*" --ignore-glob="tests/models/" --ignore-glob='tests/special*' --ignore-glob="tests/experimental" --ignore-glob="tests/workers/reward_model" tests/
      - name: Testing LinearCrossEntropyTP Correctness, Computation Time and Memory Consumption
        run: |
          LOW_MEMORY=True torchrun --standalone --nnodes=1 --nproc-per-node=8 tests/utils/test_special_linear_cross_entropy_tp.py
      - name: Testing FSDP2 actor functionality
        run: |
          torchrun --standalone --nnodes=1 --nproc-per-node=2 tests/workers/actor/test_special_dp_actor.py
      - name: Testing FSDP2 critic functionality
        run: |
          torchrun --standalone --nnodes=1 --nproc-per-node=2 tests/workers/critic/test_special_dp_critic.py
