ci-sglang-benchmark.yml

# Copyright 2024 Advanced Micro Devices, Inc.
#
# Licensed under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception

# =================================== README ===================================
# The `benchmark_sglang` job in this CI is mostly dependent on code outside
# of the `shark-ai` repo itself. By including it here, we are able to maintain
# an apples-to-apples comparison between shortfin and SGLang performance in a
# centralized location, as we place more effort in shortfin LLM performance, and
# WHILE WE WORK TOWARDS A BETTER ALTERNATIVE.

# We should not be generally repeating this pattern, and should never repeat
# this pattern outside of specifically benchmarking shortfin apps against
# external projects, as part of an organized and clearly defined effort.
# ==============================================================================

name: SGLang Llama Benchmarking Tests

on:
  workflow_dispatch:
  schedule:
    # Weekdays at 11:00 AM UTC = 03:00 AM PST / 04:00 AM PDT
    - cron: "0 11 * * 1-5"

concurrency:
  # A PR number if a pull request and otherwise the commit hash. This cancels
  # queued and in-progress runs for the same PR (presubmit) or commit
  # (postsubmit). The workflow name is prepended to avoid conflicts between
  # different workflows.
  group: ${{ github.workflow }}-${{ github.event.number || github.sha }}
  cancel-in-progress: true

jobs:
  benchmark_shortfin:
    if: ${{ github.repository_owner == 'nod-ai' || github.event_name != 'schedule' }}
    name: "SGLang Serving Benchmark With Shortfin"
    strategy:
      matrix:
        version: [3.11]
      fail-fast: false
    runs-on: mi300x-4
    defaults:
      run:
        shell: bash
    env:
      VENV_DIR: ${{ github.workspace }}/.venv
    steps:
      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2

      - name: "Setting up Python"
        id: setup_python
        uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # v5.3.0
        with:
          python-version: ${{matrix.version}}
      - name: Create Python venv
        run: python -m venv ${VENV_DIR}

      - name: Install pip deps
        run: |
          source ${VENV_DIR}/bin/activate
          python -m pip install --no-compile --upgrade pip

          # Note: We install in three steps in order to satisfy requirements
          # from non default locations first.
          pip install --no-compile -r pytorch-cpu-requirements.txt

          # Use newest possible releases to be able to track commits that may
          # cause errors or performance changes.
          pip install -r requirements-iree-unpinned.txt

          pip install --no-compile \
            -r sharktank/requirements-tests.txt \
            -r shortfin/requirements-tests.txt \
            -e sharktank/ shortfin/

          # Install SGLang
          pip install "git+https://github.com/nod-ai/sglang.git#subdirectory=python"

          pip freeze

      - name: Run Shortfin Benchmark Tests
        run: |
          source ${VENV_DIR}/bin/activate
          pytest -v app_tests/benchmark_tests/llm/sglang_benchmarks/shortfin_benchmark_test.py --log-cli-level=INFO --html=shortfin_index.html --self-contained-html

      - name: Upload pytest report
        uses: actions/upload-artifact@65c4c4a1ddee5b72f698fdd19549f0f0fb45cf08
        with:
          name: shortfin_benchmark
          path: shortfin_index.html

  benchmark_sglang:
    name: "SGLang Serving Benchmark With SGLang"
    strategy:
      matrix:
        version: [3.11]
      fail-fast: false
    runs-on: mi300x-4
    defaults:
      run:
        shell: bash
    steps:
      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2

      - name: "Setting up Python"
        id: setup_python
        uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # v5.3.0
        with:
          python-version: ${{matrix.version}}

      - name: Install SGLang
        run: |
          python -m pip install --no-compile --upgrade pip
          pip install "git+https://github.com/nod-ai/sglang.git#subdirectory=python"

      - name: Set up Docker Buildx
        uses: docker/setup-buildx-action@v3

      # Instruction for SGLang image sourced from here:
      #   https://sgl-project.github.io/start/install.html#method-3-using-docker
      # We have to run in a docker container due to their vLLM dependency.
      # From their pyproject.toml:
      #   HIP (Heterogeneous-computing Interface for Portability) for AMD
      #   => base docker rocm/vllm-dev:20241022, not from public vllm whl
      #   srt_hip = ["sglang[runtime_common]", "torch", "vllm==0.6.3.dev13"]
      - name: Pull SGLang Image (Had issues with sglang:v0.3.5.post2-rocm620)
        run: |
          docker pull lmsysorg/sglang:v0.3.5.post1-rocm620

      - name: Run SGLang Server
        run: |
          docker run --rm -d  \
            --name=sglang-server \
            --device=/dev/kfd \
            --device=/dev/dri \
            --ipc=host \
            --shm-size 16G \
            --group-add video \
            --cap-add=SYS_PTRACE \
            --security-opt seccomp=unconfined \
            -v $HOME/dockerx:/dockerx \
            -v /data:/data \
            -p 30000:30000 \
            -v ~/.cache/huggingface:/root/.cache/huggingface \
            --env HF_TOKEN=${{ secrets.HF_TOKEN }} \
            lmsysorg/sglang:v0.3.5.post1-rocm620 \
            python3 -m sglang.launch_server \
            --model-path meta-llama/Llama-3.1-8B-Instruct \
            --host 0.0.0.0 \
            --port 30000 \
            --tp 1 \
            --dtype float16 \
            --disable-cuda-graph

      - name: Run SGLang Benchmark Tests
        run: |
          pytest -v app_tests/benchmark_tests/llm/sglang_benchmarks/sglang_benchmark_test.py --port 30000 --log-cli-level=INFO --html=sglang_index.html --self-contained-html

      - name: Stop sglang-server
        run: docker stop sglang-server || true # Stop container if it's running

      # Deleting image after run due to large disk space requirement (83 GB)
      - name: Cleanup SGLang Image
        run: docker image rm lmsysorg/sglang:v0.3.5.post1-rocm620

      - name: Upload pytest report
        uses: actions/upload-artifact@65c4c4a1ddee5b72f698fdd19549f0f0fb45cf08
        with:
          name: sglang_benchmark
          path: sglang_index.html

  merge_and_upload_reports:
    name: "Merge and upload benchmark reports"
    needs: [benchmark_shortfin, benchmark_sglang]
    if: needs.benchmark_shortfin.result == 'success' || needs.benchmark_sglang.result == 'success'
    runs-on: ubuntu-24.04
    defaults:
      run:
        shell: bash
    steps:
      - name: "Setting up Python"
        id: setup_python
        uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # v5.3.0
        with:
          python-version: 3.11

      - name: Install pytest-html-merger
        run: pip install pytest-html-merger

      - name: Download shortfin report
        uses: actions/download-artifact@fa0a91b85d4f404e444e00e005971372dc801d16
        with:
          name: shortfin_benchmark
          path: reports
        continue-on-error: true

      - name: Download sglang report
        uses: actions/download-artifact@fa0a91b85d4f404e444e00e005971372dc801d16
        with:
          name: sglang_benchmark
          path: reports
        continue-on-error: true

      - name: Merge html reports
        run: |
          mkdir merged_reports
          pytest_html_merger -i reports -o merged_reports/index.html

      - name: Deploy to GitHub Pages
        uses: peaceiris/actions-gh-pages@4f9cc6602d3f66b9c108549d475ec49e8ef4d45e # v4.0.0
        with:
          github_token: ${{ secrets.SHARK_PLATFORM_GH_TOKEN }}
          publish_dir: merged_reports
          destination_dir: ./llm/sglang
          keep_files: true