ov-gpu-nightly.yml

name: OpenVino GPU Nightly Test

on:
  workflow_dispatch:
  push:

permissions: read-all

jobs:
  nightly:
    name: OpenVino GPU Nightly
    runs-on: [self-hosted, l0]

    env:
      GH_TOKEN: ${{ github.token }}    

    steps:
      - name: "Checkout Graph Compiler"
        uses: actions/checkout@v4
        with:
          repository: 'intel/graph-compiler'
          ref: 'main'
          path: 'graph-compiler'

      - name: Setup MLIR Python bindings
        id: setup-mlir-python-bindings
        uses: ./.github/actions/setup-mlir-python-bindings

      - name: Build LLVM with IMEX
        run: |
          scripts/compile.sh --dev --llvm --imex
          echo LLVM_INST_PATH=$(pwd)/externals/llvm-project/build >>$GITHUB_ENV

      - name: "Checkout OpenVino"
        uses: actions/checkout@v4
        with:
          repository: 'dchigarev/openvino'
          ref: 'gc-gpu'
          path: 'openvino'
      
      - name: Build OpenVino
        working-directory: openvino
        run: |
          cmake -B build -G Ninja -DLLVM_DIR=${LLVM_INST_PATH}/lib/cmake/llvm -DMLIR_DIR=${LLVM_INST_PATH}/lib/cmake/mlir -DENABLE_GRAPH_COMPILER=ON -DENABLE_INTEL_GPU=ON -DENABLE_TESTS=ON
          cmake --build build --target all
      
      - name: Benchmark
        working-directory: openvino/build
        env:
          OV_MLIR_MODE: GC_GPU
        run: ./bin/intel64/Debug/benchmark_app -m ./src/plugins/intel_gpu/tests/functional/mlir_op/models/matmul_64_128_f16.xml -d GPU -use_device_mem -ip f16 -infer_precision f16 -niter 100 -hint none -nstreams 1 -nthreads 1