InfiniOps/.ci/config.yaml at ad8bf0691ebff29b6dbad8af982e065fb2554b86 · InfiniTensor/InfiniOps · GitHub

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repo:
  url: https://github.com/InfiniTensor/InfiniOps.git
  branch: master

github:
  status_context_prefix: "ci/infiniops"

# Uncomment and replace the URLs below with actual host IPs to dispatch jobs to remote
# machines via `agent.py run`. Required on the trigger machine when each platform's
# agent runs on a separate host. See the README for multi-machine deployment details.
# agents:
#   nvidia:
#     url: http://nvidia-host:8080
#   iluvatar:
#     url: http://iluvatar-host:8080
#   metax:
#     url: http://metax-host:8080
#   moore:
#     url: http://moore-host:8080
#   cambricon:
#     url: http://cambricon-host:8080

platforms:
  nvidia:
    image:
      dockerfile: .ci/images/nvidia/
      build_args:
        BASE_IMAGE: nvcr.io/nvidia/pytorch:24.10-py3
    setup: pip install .[dev] --no-build-isolation
    jobs:
      gpu:
        resources:
          ngpus: 1                         # Scheduler auto-picks this many free GPUs
          memory: 32GB
          shm_size: 16g                    # Prevent PyTorch default 64MB shared memory limit
          timeout: 3600
        # env:                             # Uncomment to inject extra env vars into the container.
        #   MY_VAR: value
        stages:
          - name: test
            run: pytest tests/ -n 8 -v --tb=short --junitxml=/workspace/results/test-results.xml

  iluvatar:
    image:
      dockerfile: .ci/images/iluvatar/
      build_args:
        BASE_IMAGE: corex:qs_pj20250825
        APT_MIRROR: http://archive.ubuntu.com/ubuntu
        PIP_INDEX_URL: https://pypi.org/simple
    docker_args:
      - "--privileged"
      - "--cap-add=ALL"
      - "--pid=host"
      - "--ipc=host"
    volumes:
      - /dev:/dev
      - /lib/firmware:/lib/firmware
      - /usr/src:/usr/src
      - /lib/modules:/lib/modules
    setup: pip install .[dev] --no-build-isolation
    jobs:
      gpu:
        resources:
          gpu_ids: "0"                     # GPU visibility via CUDA_VISIBLE_DEVICES
          gpu_style: none                  # CoreX: passthrough via --privileged + /dev mount
          memory: 32GB
          shm_size: 16g
          timeout: 3600
        stages:
          - name: test
            run: pytest tests/ -n 8 -v --tb=short --junitxml=/workspace/results/test-results.xml

  metax:
    image:
      dockerfile: .ci/images/metax/
      build_args:
        BASE_IMAGE: cr.metax-tech.com/public-library/maca-pytorch:3.2.1.4-torch2.4-py310-ubuntu22.04-amd64
        APT_MIRROR: http://archive.ubuntu.com/ubuntu
        PIP_INDEX_URL: https://pypi.org/simple
    docker_args:
      - "--privileged"
      - "--ulimit=memlock=-1"
      - "--ulimit=stack=67108864"
    setup: pip install .[dev] --no-build-isolation
    jobs:
      gpu:
        resources:
          gpu_ids: "0"
          gpu_style: none                  # MetaX: passthrough via --privileged, no CUDA_VISIBLE_DEVICES
          memory: 32GB
          shm_size: 16g
          timeout: 3600
        stages:
          - name: test
            run: pytest tests/ -n 4 -v --tb=short --junitxml=/workspace/results/test-results.xml

  moore:
    image:
      dockerfile: .ci/images/moore/
      build_args:
        BASE_IMAGE: sh-harbor.mthreads.com/mcctest/vllm_musa:20251112_hygon
        APT_MIRROR: http://archive.ubuntu.com/ubuntu
        PIP_INDEX_URL: https://pypi.org/simple
    docker_args:
      - "--privileged"
    setup: pip install .[dev] --no-build-isolation
    jobs:
      gpu:
        resources:
          gpu_ids: "0"
          gpu_style: none                  # Moore: passthrough via --privileged, MTHREADS_VISIBLE_DEVICES set by base image
          memory: 32GB
          shm_size: 16g
          timeout: 3600
        stages:
          - name: test
            run: pytest tests/test_add.py tests/test_gemm.py tests/test_swiglu.py -n 4 -v --tb=short --junitxml=/workspace/results/test-results.xml

  cambricon:
    image:
      dockerfile: .ci/images/cambricon/
      build_args:
        BASE_IMAGE: cambricon/pytorch:v1.25.3-torch2.1-anolisos8.8-py310
        PIP_INDEX_URL: https://pypi.org/simple
    docker_args:
      - "--privileged"
    setup: pip install .[dev] --no-build-isolation
    jobs:
      gpu:
        resources:
          gpu_ids: "0"
          gpu_style: mlu                   # Cambricon: passthrough via --privileged, MLU_VISIBLE_DEVICES for device control
          memory: 32GB
          shm_size: 16g
          timeout: 3600
        stages:
          - name: test
            run: pytest tests/test_gemm.py -n 4 -v --tb=short --junitxml=/workspace/results/test-results.xml

  ascend:
    image:
      dockerfile: .ci/images/ascend/
      build_args:
        BASE_IMAGE: quay.io/ascend/vllm-ascend:v0.18.0rc1-openeuler
        PIP_INDEX_URL: https://pypi.org/simple
    docker_args:
      - "--runtime=runc"
      - "--privileged"
      - "--device=/dev/davinci0"
      - "--device=/dev/davinci_manager"
      - "--device=/dev/devmm_svm"
      - "--device=/dev/hisi_hdc"
    volumes:
      - /usr/local/Ascend/driver:/usr/local/Ascend/driver:ro
      - /usr/local/dcmi:/usr/local/dcmi:ro
      - /usr/local/bin/npu-smi:/usr/local/bin/npu-smi:ro
    env:
      ASCEND_HOME_PATH: /usr/local/Ascend/ascend-toolkit/latest
    setup: pip install .[dev] --no-build-isolation
    jobs:
      npu:
        resources:
          gpu_ids: "0"
          gpu_style: npu
          memory: 32GB
          shm_size: 16g
          timeout: 3600
        stages:
          - name: test
            run: pytest tests/ -n 1 -k npu -v --tb=short --junitxml=/workspace/results/test-results.xml