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[megatron] fix: Bump Megatron-Bridge commit for PEFT recompute (#4702) #9500

[megatron] fix: Bump Megatron-Bridge commit for PEFT recompute (#4702)

[megatron] fix: Bump Megatron-Bridge commit for PEFT recompute (#4702) #9500

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: e2e_ascend
on:
# Trigger the workflow on push or pull request,
# but only for the main branch
push:
branches:
- main
- v0.*
pull_request:
branches:
- main
paths:
- ".github/workflows/e2e_ascend.yml"
- "examples/data_preprocess/**"
- "examples/grpo_trainer/**"
- "examples/ppo_trainer/**"
- "examples/sft/**"
- "recipe/dapo/**"
- "tests/special_npu/**"
- "tests/special_sanity/check_device_api_usage.py"
- "verl/**"
- "pyproject.toml"
- "requirements-npu.txt"
- "setup.py"
# Cancel jobs on the same ref if a new one is triggered
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
permissions:
contents: read
jobs:
non_rl_job:
if: github.repository_owner == 'volcengine'
name: E2E Ascend testing for non-RL algorithm scenarios
runs-on: linux-aarch64-a2-2
timeout-minutes: 60
container:
image: swr.ap-southeast-1.myhuaweicloud.com/base_image/ascend-ci/verl/verl:verl-8.3.rc1-910b-ubuntu22.04-py3.11-latest
options: >-
--shm-size 16g
env:
HF_ENDPOINT: "https://hf-mirror.com"
HF_HUB_ENABLE_HF_TRANSFER: "0" # This is more stable
steps:
- name: Config third-party dependency download cache
run: |
sed -Ei 's@(ports|archive)[email protected]:8081@g' /etc/apt/sources.list
pip config set global.index-url http://cache-service.nginx-pypi-cache.svc.cluster.local/pypi/simple
pip config set global.trusted-host cache-service.nginx-pypi-cache.svc.cluster.local
- name: Check npu and CANN info
run: |
cat /usr/local/Ascend/ascend-toolkit/latest/"$(uname -i)"-linux/ascend_toolkit_install.info
npu-smi info
- name: Check initial pip list from image
run: |
pip list
- name: Checkout volcengine/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 .
- name: Check final pip list
run: |
pip list
- name: Preprocess gsm8k dataset
run: |
python examples/data_preprocess/gsm8k.py --local_dataset_path ${HOME}/.cache/datasets/openai/gsm8k
- name: Running gsm8k e2e training tests with peft sft on ASCEND NPU
run: |
ray stop --force
bash tests/special_npu/run_qwen2_5_05b_sft_peft_sp2.sh
rm -rf $HOME/ckpts
- name: Running NPU profiling unit tests
run: |
ray stop --force
pytest -s -x tests/utils/test_special_mstx_profile.py
llm_rl_job:
if: github.repository_owner == 'volcengine'
name: E2E Ascend testing for RL training scenarios of LLM models
runs-on: linux-aarch64-a2-8
timeout-minutes: 60
container:
image: swr.ap-southeast-1.myhuaweicloud.com/base_image/ascend-ci/verl/verl:verl-8.3.rc1-910b-ubuntu22.04-py3.11-latest
options: >-
--shm-size 16g
env:
HF_ENDPOINT: "https://hf-mirror.com"
HF_HUB_ENABLE_HF_TRANSFER: "0" # This is more stable
steps:
- name: Config third-party dependency download cache
run: |
sed -Ei 's@(ports|archive)[email protected]:8081@g' /etc/apt/sources.list
pip config set global.index-url http://cache-service.nginx-pypi-cache.svc.cluster.local/pypi/simple
pip config set global.trusted-host cache-service.nginx-pypi-cache.svc.cluster.local
- name: Check npu and CANN info
run: |
cat /usr/local/Ascend/ascend-toolkit/latest/"$(uname -i)"-linux/ascend_toolkit_install.info
npu-smi info
- name: Check initial pip list from image
run: |
pip list
- name: Checkout volcengine/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 .
- name: Check final pip list
run: |
pip list
- name: Preprocess gsm8k dataset
run: |
python examples/data_preprocess/gsm8k.py --local_dataset_path ${HOME}/.cache/datasets/openai/gsm8k
- name: Running gsm8k e2e training tests with PPO on ASCEND NPU (FSDP backend)
run: |
ray stop --force
bash tests/special_npu/run_qwen3_06b_ppo.sh
rm -rf $HOME/ckpts
- name: Running gsm8k e2e training tests with GRPO on ASCEND NPU (FSDP backend)
run: |
ray stop --force
bash tests/special_npu/run_qwen2_5_05b_grpo.sh
rm -rf $HOME/ckpts
- name: Running gsm8k e2e training tests with DAPO on ASCEND NPU (FSDP backend)
run: |
ray stop --force
bash tests/special_npu/run_qwen2_5_05b_dapo.sh
rm -rf $HOME/ckpts
- name: Running gsm8k e2e training tests with GRPO on ASCEND NPU (MindSpeed backend)
run: |
ray stop --force
export PYTHONPATH=$PYTHONPATH:/Megatron-LM
USE_DIST_CKPT=True bash tests/special_npu/run_qwen2_5_05b_grpo_mindspeed.sh
rm -rf $HOME/dist_ckpt/qwen2_5_05b_grpo_mindspeed
rm -rf $HOME/ckpts
- name: Running gsm8k e2e training tests with DAPO on ASCEND NPU (MindSpeed backend, MoE Model)
run: |
ray stop --force
export PYTHONPATH=$PYTHONPATH:/Megatron-LM
USE_DIST_CKPT=True USE_DUMMY_MODEL=True DUMMY_MODEL_CONFIG_PATH=tests/special_e2e/ppo_trainer/expert_parallel/qwen3moe_minimal.json DUMMY_MODEL_PATH=$HOME/dist_ckpt/qwen3_30b_dapo_mindspeed bash tests/special_npu/run_qwen3_30b_dapo_mindspeed.sh
vlm_rl_job:
if: github.repository_owner == 'volcengine'
name: E2E Ascend testing for RL training scenarios of VLM models
runs-on: linux-aarch64-a2-8
timeout-minutes: 60
container:
image: swr.ap-southeast-1.myhuaweicloud.com/base_image/ascend-ci/verl/verl:verl-8.3.rc1-910b-ubuntu22.04-py3.11-latest
options: >-
--shm-size 16g
env:
HF_ENDPOINT: "https://hf-mirror.com"
HF_HUB_ENABLE_HF_TRANSFER: "0" # This is more stable
steps:
- name: Config third-party dependency download cache
run: |
sed -Ei 's@(ports|archive)[email protected]:8081@g' /etc/apt/sources.list
pip config set global.index-url http://cache-service.nginx-pypi-cache.svc.cluster.local/pypi/simple
pip config set global.trusted-host cache-service.nginx-pypi-cache.svc.cluster.local
- name: Check npu and CANN info
run: |
cat /usr/local/Ascend/ascend-toolkit/latest/"$(uname -i)"-linux/ascend_toolkit_install.info
npu-smi info
- name: Check initial pip list from image
run: |
pip list
- name: Checkout volcengine/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 .
- name: Check final pip list
run: |
pip list
- name: Preprocess geo3k dataset
run: |
python examples/data_preprocess/geo3k.py --local_dataset_path ${HOME}/.cache/datasets/hiyouga/geometry3k
- name: Running geo3k e2e training tests with GRPO on ASCEND NPU
run: |
ray stop --force
bash tests/special_npu/run_qwen2_5_vl_3b_npu.sh
rm -rf $HOME/ckpts
recipe_job:
if: github.repository_owner == 'volcengine'
name: E2E Ascend testing for recipes
runs-on: linux-aarch64-a2-4
timeout-minutes: 60
container:
image: swr.ap-southeast-1.myhuaweicloud.com/base_image/ascend-ci/verl/verl:verl-8.3.rc1-910b-ubuntu22.04-py3.11-latest
options: >-
--shm-size 16g
env:
HF_ENDPOINT: "https://hf-mirror.com"
HF_HUB_ENABLE_HF_TRANSFER: "0" # This is more stable
steps:
- name: Check npu and CANN info
run: |
cat /usr/local/Ascend/ascend-toolkit/latest/"$(uname -i)"-linux/ascend_toolkit_install.info
npu-smi info
- name: Check initial pip list from image
run: |
pip list
- name: Checkout volcengine/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 .
- name: Check final pip list
run: |
pip list
- name: Preprocess gsm8k dataset
run: |
python examples/data_preprocess/gsm8k.py --local_dataset_path ${HOME}/.cache/datasets/openai/gsm8k
- name: Running the E2E test with one_step_off_policy algorithm on ASCEND NPU (FSDP2)
run: |
ray stop --force
bash tests/special_npu/run_one_step_off_policy.sh
rm -rf $HOME/ckpts