name: PR Test (AMD)

on:
  push:
    branches: [ main ]
    paths:
      - "python/sglang/**"
      - "test/**"
      - "sgl-kernel/**"
  pull_request:
    branches: [ main ]
    paths:
      - "python/sglang/**"
      - "test/**"
      - "sgl-kernel/**"
  workflow_dispatch:

concurrency:
  group: pr-test-amd-${{ github.ref }}
  cancel-in-progress: true

jobs:
  accuracy-test-1-gpu-amd:
    if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') && github.event.pull_request.draft == false
    runs-on: linux-mi300-gpu-1
    steps:
      - name: Checkout code
        uses: actions/checkout@v3

      - name: Setup docker
        run: |
          # Ensure GPU isolation if pod is part of kubernetes setup with DEVICE_FLAG.
          if [ -f "/etc/podinfo/gha-render-devices" ]; then
            DEVICE_FLAG=$(cat /etc/podinfo/gha-render-devices)
          else
            DEVICE_FLAG="--device /dev/dri"
          fi
          docker pull lmsysorg/sglang:v0.4.3.post2-rocm630
          docker run -dt --user root --device=/dev/kfd $DEVICE_FLAG \
            -v ${{ github.workspace }}:/sglang-checkout --ipc=host --group-add video \
            --cap-add=SYS_PTRACE -e HF_TOKEN=${HF_TOKEN} --security-opt seccomp=unconfined \
            -w /sglang-checkout --name ci_sglang \
            lmsysorg/sglang:v0.4.3.post2-rocm630

      - name: Install dependencies
        run: |
          docker exec ci_sglang pip install --upgrade pip
          docker exec -w /sglang-checkout/sgl-kernel ci_sglang python3 setup_rocm.py install
          docker exec ci_sglang pip install -e "python[dev_hip]"

          docker exec -w / ci_sglang git clone https://github.com/merrymercy/human-eval.git
          docker exec -w /human-eval ci_sglang pip install -e .

      - name: Evaluate Accuracy
        timeout-minutes: 20
        run: |
          docker exec -w /sglang-checkout/test/srt ci_sglang python3 test_eval_accuracy_large.py

  mla-test-1-gpu-amd:
    if: github.event.pull_request.head.repo.fork == false && github.event.pull_request.draft == false
    runs-on: linux-mi300-gpu-1
    steps:
      - name: Checkout code
        uses: actions/checkout@v3

      - name: Setup docker
        run: |
          # Ensure GPU isolation if pod is part of kubernetes setup with DEVICE_FLAG.
          if [ -f "/etc/podinfo/gha-render-devices" ]; then
            DEVICE_FLAG=$(cat /etc/podinfo/gha-render-devices)
          else
            DEVICE_FLAG="--device /dev/dri"
          fi
          docker pull lmsysorg/sglang:v0.4.3.post2-rocm630
          docker run -dt --user root --device=/dev/kfd $DEVICE_FLAG \
            -v ${{ github.workspace }}:/sglang-checkout --ipc=host --group-add video \
            --cap-add=SYS_PTRACE -e HF_TOKEN=${{ secrets.AMD_HF_TOKEN }} --security-opt seccomp=unconfined \
            -w /sglang-checkout --name ci_sglang \
            lmsysorg/sglang:v0.4.3.post2-rocm630

      - name: Install dependencies
        run: |
          docker exec ci_sglang pip install --upgrade pip
          docker exec -w /sglang-checkout/sgl-kernel ci_sglang python3 setup_rocm.py install
          docker exec ci_sglang pip install -e "python[dev_hip]"

          docker exec -w / ci_sglang git clone https://github.com/merrymercy/human-eval.git
          docker exec -w /human-eval ci_sglang pip install -e .

      - name: MLA TEST
        timeout-minutes: 20
        run: |
          docker exec -w /sglang-checkout/test/srt ci_sglang python3 test_mla.py

  finish:
    needs: [
      accuracy-test-1-gpu-amd
    ]
    runs-on: ubuntu-latest
    steps:
      - name: Finish
        run: echo "This is an empty step to ensure that all jobs are completed."
