name: PR Test (AMD)

on:
  push:
    branches: [ main ]
    paths:
      - "python/sglang/**"
      - "test/**"
      - "sgl-kernel/**"
      - ".github/workflows/pr-test-amd.yml"
  pull_request:
    branches: [ main ]
    paths:
      - "python/sglang/**"
      - "test/**"
      - "sgl-kernel/**"
      - ".github/workflows/pr-test-amd.yml"
  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@v4

      - 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 ghcr.io/saienduri/sglang-aiter-v0.1.1:428
          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 \
            ghcr.io/saienduri/sglang-aiter-v0.1.1:428

      - name: Install dependencies
        run: |
          docker exec ci_sglang pip install --upgrade pip
          docker exec ci_sglang pip uninstall sgl-kernel -y || true
          docker exec -w /sglang-checkout/sgl-kernel ci_sglang bash -c "rm -f pyproject.toml && mv pyproject_rocm.toml pyproject.toml && 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 -e SGLANG_IS_IN_CI=1 ci_sglang python3 test_eval_accuracy_large.py
          docker exec -w /sglang-checkout/test/srt -e SGLANG_IS_IN_CI=1 ci_sglang python3 test_eval_fp8_accuracy.py
          docker exec -w /sglang-checkout/test/srt -e SGLANG_IS_IN_CI=1 ci_sglang python3 models/test_qwen_models.py

  accuracy-test-2-gpu-amd:
    if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') &&
        github.event.pull_request.draft == false
    runs-on: linux-mi300-gpu-2
    steps:
      - name: Checkout code
        uses: actions/checkout@v4

      - 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 ghcr.io/saienduri/sglang-aiter-v0.1.1:428
          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 \
            ghcr.io/saienduri/sglang-aiter-v0.1.1:428

      - name: Install dependencies
        run: |
          docker exec ci_sglang pip install --upgrade pip
          docker exec ci_sglang pip uninstall sgl-kernel -y || true
          docker exec -w /sglang-checkout/sgl-kernel ci_sglang bash -c "rm -f pyproject.toml && mv pyproject_rocm.toml pyproject.toml && 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 (TP=2)
        timeout-minutes: 20
        run: |
          docker exec -w /sglang-checkout/test/srt -e SGLANG_IS_IN_CI=1 ci_sglang python3 test_moe_eval_accuracy_large.py

  mla-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@v4

      - 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 ghcr.io/saienduri/sglang-aiter-v0.1.1:428
          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 \
            ghcr.io/saienduri/sglang-aiter-v0.1.1:428

      - name: Install dependencies
        run: |
          docker exec ci_sglang pip install --upgrade pip
          docker exec ci_sglang pip uninstall sgl-kernel -y || true
          docker exec -w /sglang-checkout/sgl-kernel ci_sglang bash -c "rm -f pyproject.toml && mv pyproject_rocm.toml pyproject.toml && 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 -e SGLANG_IS_IN_CI=1 ci_sglang python3 test_mla.py

  performance-test-1-gpu-part-1-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@v4

      - 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 ghcr.io/saienduri/sglang-aiter-v0.1.1:428
          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 \
            ghcr.io/saienduri/sglang-aiter-v0.1.1:428

      - name: Install dependencies
        run: |
          docker exec ci_sglang pip install --upgrade pip
          docker exec ci_sglang pip uninstall sgl-kernel -y || true
          docker exec -w /sglang-checkout/sgl-kernel ci_sglang bash -c "rm -f pyproject.toml && mv pyproject_rocm.toml pyproject.toml && 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: Benchmark single latency
        timeout-minutes: 10
        run: |
          docker exec -w /sglang-checkout/test/srt -e SGLANG_AMD_CI=1 -e SGLANG_IS_IN_CI=1 ci_sglang python3 -m unittest test_bench_one_batch.TestBenchOneBatch.test_bs1_small
          docker exec -w /sglang-checkout/test/srt -e SGLANG_AMD_CI=1 -e SGLANG_IS_IN_CI=1 ci_sglang python3 -m unittest test_bench_one_batch.TestBenchOneBatch.test_bs1_default

      - name: Benchmark online latency
        timeout-minutes: 10
        run: |
          docker exec -w /sglang-checkout/test/srt -e SGLANG_AMD_CI=1 -e SGLANG_IS_IN_CI=1 ci_sglang python3 -m unittest test_bench_serving.TestBenchServing.test_online_latency_default

      - name: Benchmark offline throughput
        timeout-minutes: 10
        run: |
          docker exec -w /sglang-checkout/test/srt -e SGLANG_AMD_CI=1 -e SGLANG_IS_IN_CI=1 ci_sglang python3 -m unittest test_bench_serving.TestBenchServing.test_offline_throughput_default

      - name: Benchmark offline throughput (Non-streaming, small batch size)
        timeout-minutes: 10
        run: |
          docker exec -w /sglang-checkout/test/srt -e SGLANG_AMD_CI=1 -e SGLANG_IS_IN_CI=1 ci_sglang python3 -m unittest test_bench_serving.TestBenchServing.test_offline_throughput_non_stream_small_batch_size

      - name: Benchmark online latency (EAGLE)
        timeout-minutes: 10
        run: |
          docker exec -w /sglang-checkout/test/srt -e SGLANG_AMD_CI=1 -e SGLANG_IS_IN_CI=1 ci_sglang python3 -m unittest test_bench_serving.TestBenchServing.test_online_latency_eagle

  performance-test-1-gpu-part-2-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@v4

      - 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 ghcr.io/saienduri/sglang-aiter-v0.1.1:428
          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 \
            ghcr.io/saienduri/sglang-aiter-v0.1.1:428

      - name: Install dependencies
        run: |
          docker exec ci_sglang pip install --upgrade pip
          docker exec ci_sglang pip uninstall sgl-kernel -y || true
          docker exec -w /sglang-checkout/sgl-kernel ci_sglang bash -c "rm -f pyproject.toml && mv pyproject_rocm.toml pyproject.toml && 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: Benchmark offline throughput (w/o RadixAttention)
        timeout-minutes: 10
        run: |
          docker exec -w /sglang-checkout/test/srt -e SGLANG_AMD_CI=1 -e SGLANG_IS_IN_CI=1 ci_sglang python3 -m unittest test_bench_serving.TestBenchServing.test_offline_throughput_without_radix_cache

      - name: Benchmark offline throughput (w/ Triton)
        timeout-minutes: 10
        run: |
          docker exec -w /sglang-checkout/test/srt -e SGLANG_AMD_CI=1 -e SGLANG_IS_IN_CI=1 ci_sglang python3 -m unittest test_bench_serving.TestBenchServing.test_offline_throughput_with_triton_attention_backend

      - name: Benchmark offline throughput (w/ FP8)
        timeout-minutes: 10
        run: |
          docker exec -w /sglang-checkout/test/srt -e SGLANG_AMD_CI=1 -e SGLANG_IS_IN_CI=1 ci_sglang python3 -m unittest test_bench_serving.TestBenchServing.test_offline_throughput_default_fp8

  bench-test-2-gpu-amd:
    if: (github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request') &&
      github.event.pull_request.draft == false
    runs-on: linux-mi300-gpu-2
    steps:
      - name: Checkout code
        uses: actions/checkout@v4

      - 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 ghcr.io/saienduri/sglang-aiter-v0.1.1:428
          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 \
            ghcr.io/saienduri/sglang-aiter-v0.1.1:428

      - name: Install dependencies
        run: |
          docker exec ci_sglang pip install --upgrade pip
          docker exec ci_sglang pip uninstall sgl-kernel -y || true
          docker exec -w /sglang-checkout/sgl-kernel ci_sglang bash -c "rm -f pyproject.toml && mv pyproject_rocm.toml pyproject.toml && 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 .

          docker exec -w / ci_sglang mkdir -p /dummy-grok
          mkdir -p dummy-grok && wget https://sharkpublic.blob.core.windows.net/sharkpublic/sglang/dummy_grok.json -O dummy-grok/config.json
          docker cp ./dummy-grok ci_sglang:/

      - name: Benchmark dummy grok (TP=2)
        timeout-minutes: 20
        run: |
          docker exec -w /sglang-checkout/test/srt -e SGLANG_IS_IN_CI=1 ci_sglang python3 models/test_dummy_grok_models.py

      - name: Benchmark single latency (TP=2)
        timeout-minutes: 20
        run: |
          docker exec -w /sglang-checkout/test/srt -e SGLANG_IS_IN_CI=1 -e SGLANG_AMD_CI=1 ci_sglang python3 -m unittest test_bench_one_batch.TestBenchOneBatch.test_moe_tp2_bs1

      - name: Benchmark single latency + torch.compile (TP=2)
        timeout-minutes: 20
        run: |
          docker exec -w /sglang-checkout/test/srt -e SGLANG_IS_IN_CI=1 ci_sglang python3 -m unittest test_bench_one_batch.TestBenchOneBatch.test_torch_compile_tp2_bs1

      - name: Benchmark offline throughput (TP=2)
        timeout-minutes: 20
        run: |
          docker exec -w /sglang-checkout/test/srt -e SGLANG_IS_IN_CI=1 -e SGLANG_AMD_CI=1 ci_sglang python3 -m unittest test_bench_serving.TestBenchServing.test_moe_offline_throughput_default

      - name: Benchmark offline throughput (w/o RadixAttention) (TP=2)
        timeout-minutes: 20
        run: |
          docker exec -w /sglang-checkout/test/srt -e SGLANG_IS_IN_CI=1 -e SGLANG_AMD_CI=1 ci_sglang python3 -m unittest test_bench_serving.TestBenchServing.test_moe_offline_throughput_without_radix_cache

  finish:
    if: always()
    needs: [
      accuracy-test-1-gpu-amd, mla-test-1-gpu-amd, bench-test-2-gpu-amd,
      accuracy-test-2-gpu-amd, performance-test-1-gpu-part-1-amd, performance-test-1-gpu-part-2-amd
    ]
    runs-on: ubuntu-latest
    steps:
      - name: Check all dependent job statuses
        run: |
          results=(${{ join(needs.*.result, ' ') }})
          for result in "${results[@]}"; do
            if [ "$result" = "failure" ] || [ "$result" = "cancelled" ]; then
              echo "Job failed with result: $result"
              exit 1
            fi
          done
          echo "All jobs completed successfully"
          exit 0