Add Baseline for SGLang Benchmark Test #32
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| # 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 | |
| name: SGLang Llama Benchmarking Tests | |
| on: | |
| # TODO: Remove PR trigger after verification | |
| pull_request: | |
| workflow_dispatch: | |
| schedule: | |
| # Weekdays at 4:00 AM UTC = 9:00 PM PST. | |
| - cron: "0 4 * * 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: ${{ github.repository_owner == 'nod-ai' || github.event_name != 'schedule' }} | |
| name: "SGLang Serving Benchmark With Shortfin" | |
| strategy: | |
| matrix: | |
| version: [3.11] | |
| fail-fast: false | |
| runs-on: mi300x-4 | |
| defaults: | |
| run: | |
| shell: bash | |
| env: | |
| PIP_CACHE_DIR: "${{ github.workspace }}/.pip-cache" | |
| steps: | |
| - name: Get Current Date | |
| id: date | |
| run: echo "::set-output name=date::$(date +'%Y-%m-%d')" | |
| - name: "Setting up Python" | |
| id: setup_python | |
| uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # v5.3.0 | |
| with: | |
| python-version: ${{matrix.version}} | |
| - name: "Checkout Code" | |
| uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 | |
| - name: Cache Pip Packages | |
| uses: actions/cache@6849a6489940f00c2f30c0fb92c6274307ccb58a # v4.1.2 | |
| id: cache-pip | |
| with: | |
| path: ${{ env.PIP_CACHE_DIR }} | |
| key: pip-${{ steps.setup_python.outputs.python-version }}-${{ hashFiles('*requirements*.txt','shortfin/requirements*.txt','sharktank/requirements*.txt') }} | |
| - name: Install pip deps | |
| run: | | |
| python -m pip install --no-compile --upgrade pip | |
| # Note: We install in three steps in order to satisfy requirements | |
| # from non default locations first. Installing the PyTorch CPU | |
| # wheels saves multiple minutes and a lot of bandwidth on runner setup. | |
| pip install --no-compile -r pytorch-cpu-requirements.txt | |
| pip install --no-compile -f https://iree.dev/pip-release-links.html --src deps \ | |
| -e "git+https://github.com/iree-org/iree-turbine.git#egg=iree-turbine" | |
| pip install --no-compile -r requirements.txt -e sharktank/ shortfin/ | |
| # Try with the latest nightly releases, not what iree-turbine pins. | |
| # We could also pin to a known working or stable version. | |
| # This should eventually stabilize. Do the best we can for now. | |
| pip install -f https://iree.dev/pip-release-links.html --upgrade --pre \ | |
| iree-base-compiler \ | |
| iree-base-runtime \ | |
| "numpy<2.0" | |
| - name: Install SGLang | |
| run: pip install "git+https://github.com/nod-ai/sglang.git#subdirectory=python" | |
| - name: Run Shortfin Benchmark Tests | |
| run: pytest -v app_tests/benchmark_tests/llm/sglang_benchmarks/shortfin_benchmark_test.py --log-cli-level=INFO --html=out/llm/shortfin/index.html | |
| # TODO: Uncomment after verification | |
| # - name: Deploy to GitHub Pages | |
| # uses: peaceiris/actions-gh-pages@4f9cc6602d3f66b9c108549d475ec49e8ef4d45e # v4.0.0 | |
| # with: | |
| # github_token: ${{ secrets.SHARK_PLATFORM_GH_TOKEN }} | |
| # publish_dir: ./out/llm/sgl_benchmark/shortfin | |
| # destination_dir: ./llm/sgl_benchmark/shortfin | |
| # keep_files: true | |
| benchmark_sglang: | |
| if: ${{ github.repository_owner == 'nod-ai' || github.event_name != 'schedule' }} | |
| name: "SGLang Serving Benchmark With SGLang" | |
| needs: benchmark_shortfin | |
| strategy: | |
| matrix: | |
| version: [3.11] | |
| fail-fast: false | |
| runs-on: mi300x-4 | |
| defaults: | |
| run: | |
| shell: bash | |
| env: | |
| PIP_CACHE_DIR: "${{ github.workspace }}/.pip-cache" | |
| steps: | |
| - name: Get Current Date | |
| id: date | |
| run: echo "::set-output name=date::$(date +'%Y-%m-%d')" | |
| - name: "Setting up Python" | |
| id: setup_python | |
| uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # v5.3.0 | |
| with: | |
| python-version: ${{matrix.version}} | |
| - name: "Checkout Code" | |
| uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 | |
| - name: Cache Pip Packages | |
| uses: actions/cache@6849a6489940f00c2f30c0fb92c6274307ccb58a # v4.1.2 | |
| id: cache-pip | |
| with: | |
| path: ${{ env.PIP_CACHE_DIR }} | |
| key: pip-${{ steps.setup_python.outputs.python-version }}-${{ hashFiles('*requirements*.txt','shortfin/requirements*.txt','sharktank/requirements*.txt') }} | |
| - name: Install pip deps | |
| run: | | |
| python -m pip install --no-compile --upgrade pip | |
| # Note: We install in three steps in order to satisfy requirements | |
| # from non default locations first. Installing the PyTorch CPU | |
| # wheels saves multiple minutes and a lot of bandwidth on runner setup. | |
| pip install --no-compile -r pytorch-cpu-requirements.txt | |
| pip install --no-compile -f https://iree.dev/pip-release-links.html --src deps \ | |
| -e "git+https://github.com/iree-org/iree-turbine.git#egg=iree-turbine" | |
| pip install --no-compile -r requirements.txt -e sharktank/ shortfin/ | |
| # Try with the latest nightly releases, not what iree-turbine pins. | |
| # We could also pin to a known working or stable version. | |
| # This should eventually stabilize. Do the best we can for now. | |
| pip install -f https://iree.dev/pip-release-links.html --upgrade --pre \ | |
| iree-base-compiler \ | |
| iree-base-runtime \ | |
| "numpy<2.0" | |
| - name: Install SGLang | |
| run: 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=out/llm/sglang/index.html | |
| - name: Stop sglang-server | |
| run: docker stop sglang-server || true # Stop container if it's running | |
| - name: Cleanup SGLang Image | |
| run: docker image rm lmsysorg/sglang:v0.3.5.post1-rocm620 | |
| # TODO: Uncomment after verifying | |
| # - name: Deploy to GitHub Pages | |
| # uses: peaceiris/actions-gh-pages@4f9cc6602d3f66b9c108549d475ec49e8ef4d45e # v4.0.0 | |
| # with: | |
| # github_token: ${{ secrets.SHARK_PLATFORM_GH_TOKEN }} | |
| # publish_dir: ./out/llm/sgl_benchmark/sglang | |
| # destination_dir: ./llm/sgl_benchmark/sglang | |
| # keep_files: true |