name: nv-pre-compile-ops

on:
  workflow_dispatch:
  pull_request:
    branches:
      '**'
  merge_group:
    branches: [ master ]
  schedule:
    - cron: "0 0 * * *"

concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true

jobs:
  check-paths:
    name: nv-pre-compile-ops / check paths
    runs-on: ubuntu-latest
    permissions:
      contents: read
      pull-requests: read
    outputs:
      should_run: ${{ steps.non_pr.outputs.should_run || steps.filter.outputs.run_tests }}
    steps:
      - id: non_pr
        if: github.event_name != 'pull_request'
        run: echo "should_run=true" >> "$GITHUB_OUTPUT"

      - uses: actions/checkout@v4
        if: github.event_name == 'pull_request'

      - uses: dorny/paths-filter@v3
        id: filter
        if: github.event_name == 'pull_request'
        with:
          predicate-quantifier: every
          filters: |
            run_tests:
              - '**'
              - '!docs/**'
              - '!blogs/**'
              - '!deepspeed/inference/v2/**'
              - '!tests/unit/inference/v2/**'

  unit-tests:
    name: nv-pre-compile-ops / precompile ops
    needs: check-paths
    if: ${{ !cancelled() && (needs.check-paths.result != 'success' || needs.check-paths.outputs.should_run == 'true') }}
    runs-on: ubuntu-24.04
    container:
      image: nvidia/cuda:12.6.3-devel-ubuntu22.04

    steps:
        - name: Fail if path filter failed
          if: needs.check-paths.result != 'success'
          run: exit 1

        - name: Install system dependencies
          run: |
            apt-get update && apt-get install -y git python3 python3-pip libaio-dev ninja-build
            ln -sf /usr/bin/python3 /usr/bin/python

        - uses: actions/checkout@v4

        - name: Install PyTorch
          run: |
            pip install torch==2.10.0 --index-url https://download.pytorch.org/whl/cu126

        - name: environment
          run: |
            which python
            python --version
            python -c "import torch; print('torch:', torch.__version__, torch)"
            #python -c "import torch; print('CUDA available:', torch.cuda.is_available())"
        - name: Compile DeepSpeed Ops
          run: |
            DS_ACCELERATOR=cuda DS_ENABLE_NINJA=1 TORCH_CUDA_ARCH_LIST="7.0;7.5;8.0;8.6;8.9;9.0" DS_BUILD_OPS=1 DS_BUILD_SPARSE_ATTN=0 DS_BUILD_FP_QUANTIZER=0 DS_BUILD_CUTLASS_OPS=0 DS_BUILD_GDS=0 DS_BUILD_RAGGED_DEVICE_OPS=0 DS_BUILD_EVOFORMER_ATTN=0 DS_BUILD_DEEP_COMPILE=0 pip3 install .
        - name: DS Report
          run: |
             DS_ACCELERATOR=cuda ds_report