Add Baseline for SGLang Benchmark Test #17
Workflow file for this run
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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 6:00 AM UTC = 11:00 PM PST. | |
# This is a pretty GPU intensive test, so want to avoid conflicting | |
# with other potentially scheduled tests. | |
- 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: | |
# TODO: Uncomment after verification | |
# 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') }} | |
# - 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 \ | |
# iree-base-compiler==3.0.0rc20241118 \ | |
# iree-base-runtime==3.0.0rc20241118 \ | |
# "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: ${{ github.repository_owner == 'nod-ai' || github.event_name != 'schedule' }} | |
name: "SGLang Serving Benchmark With SGLang" | |
# TODO: Uncomment after verifying | |
# needs: benchmark_shortfin | |
strategy: | |
matrix: | |
version: [3.11] | |
fail-fast: false | |
runs-on: mi300x-4 | |
defaults: | |
run: | |
shell: bash | |
env: | |
PIP_CACHE_DIR: "${{ 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') }} | |
- 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 \ | |
iree-base-compiler==3.0.0rc20241118 \ | |
iree-base-runtime==3.0.0rc20241118 \ | |
"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.post1-rocm620) | |
run: | | |
docker pull lmsysorg/sglang:v0.3.5.post1-rocm620 | |
- name: Run SGLang Server | |
run: | | |
docker run -d --rm \ | |
--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 |