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[algo] feat: support router replay in MegatronEngine #352

[algo] feat: support router replay in MegatronEngine

[algo] feat: support router replay in MegatronEngine #352

Workflow file for this run

# # 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: Check PR Title
name: model_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:
- "verl/**/*.py"
# Entrypoints
- ".github/workflows/model_ascend.yml"
- "tests/special_distributed/test_fsdp_ckpt.py"
- "tests/special_distributed/test_tensor_dict.py"
- "tests/models/**"
- "tests/special_distributed/run_all.sh"
# Cancel jobs on the same ref if a new one is triggered
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
permissions:
contents: read
jobs:
model_rmpad_ascend:
if: github.repository_owner == 'verl-project'
runs-on: linux-aarch64-a2-8
timeout-minutes: 60 # Increase this timeout value as needed
container:
image: swr.ap-southeast-1.myhuaweicloud.com/base_image/ascend-ci/verl/verl:verl-8.3.rc1-910b-ubuntu22.04-py3.11-latest
options: >-
--shm-size 16g
env:
HF_ENDPOINT: "https://hf-mirror.com"
HF_HUB_ENABLE_HF_TRANSFER: "0" # This is more stable
steps:
- name: Check npu and CANN info
run: |
cat /usr/local/Ascend/ascend-toolkit/latest/"$(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 --no-deps -e .[test]
- name: Check final pip list
run: |
pip list
- name: Prepare weights
run: |
ln -s /root/.cache/models ~/models
- name: Running rmpad model tests on 8 NPUs
run: |
pytest -s tests/models/test_transformer.py
- name: Running FSDP rmpad model tests on 8 NPUs
run: |
STRATEGY=fsdp torchrun --nproc_per_node=8 tests/special_distributed/test_fsdp_ckpt.py
- name: Running transformers ulysses tests on 8 NPUs
run: |
torchrun --nproc_per_node=8 -m pytest tests/models/test_transformers_ulysses.py
- name: Run distributed test
run: |
bash tests/special_distributed/run_all.sh
# TODO: Move this back to model_rmpad once FSDP2 is stable.
# NOTE: List as an independent job to make rerun easier.
model_rmpad_fsdp2_unstable_ascend:
if: github.repository_owner == 'verl-project'
runs-on: linux-aarch64-a2-8
timeout-minutes: 60
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:
- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
with:
fetch-depth: 0
- name: Install the current repository
run: |
pip install -r requirements-npu.txt
pip install --no-deps -e .[test]
- name: Prepare weights
run: |
ln -s /root/.cache/models ~/models
- name: Running FSDP2 rmpad model tests on 8 NPUs
run: |
STRATEGY=fsdp2 torchrun --nproc_per_node=8 tests/special_distributed/test_fsdp_ckpt.py