WIP server: bench: init #108
Workflow file for this run
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# Benchmark | |
name: Benchmark | |
on: | |
workflow_dispatch: | |
inputs: | |
gpu-series: | |
description: 'Azure GPU series to run with' | |
required: true | |
type: choice | |
options: | |
- Standard_NC4as_T4_v3 | |
- Standard_NC24ads_A100_v4 | |
- Standard_NC80adis_H100_v5 | |
push: | |
branches: | |
- master | |
paths: ['.github/workflows/bench.yml', '**/CMakeLists.txt', '**/Makefile', '**/*.h', '**/*.hpp', '**/*.c', '**/*.cpp', '**/*.cu', '**/*.swift', '**/*.m', 'examples/server/bench/**.*'] | |
pull_request: | |
types: [opened, synchronize, reopened] | |
paths: ['.github/workflows/bench.yml', '**/CMakeLists.txt', '**/Makefile', '**/*.h', '**/*.hpp', '**/*.c', '**/*.cpp', '**/*.cu', '**/*.swift', '**/*.m', 'examples/server/bench/**.*'] | |
schedule: | |
- cron: '04 2 * * *' | |
concurrency: | |
group: ${{ github.workflow }}-${{ github.ref }} | |
cancel-in-progress: true | |
jobs: | |
bench-server-baseline: | |
runs-on: Standard_NC4as_T4_v3 | |
env: | |
RUNNER_LABEL: Standard_NC4as_T4_v3 # FIXME Do not find a way to not duplicate it | |
if: ${{ github.event.inputs.gpu-series == 'Standard_NC4as_T4_v3' || github.event.schedule || github.event.pull_request || github.event.push.ref == 'refs/heads/master' }} | |
steps: | |
- name: Clone | |
id: checkout | |
uses: actions/checkout@v3 | |
with: | |
fetch-depth: 0 | |
- name: Install python env | |
id: pipenv | |
run: | | |
cd examples/server/bench | |
python3 -m venv venv | |
source venv/bin/activate | |
pip install -r requirements.txt | |
- name: Prometheus | |
id: install_prometheus | |
run: | | |
wget --quiet https://github.com/prometheus/prometheus/releases/download/v2.51.0/prometheus-2.51.0.linux-amd64.tar.gz | |
tar xzf prometheus*.tar.gz --strip-components=1 | |
./prometheus --config.file=examples/server/bench/prometheus.yml & | |
while ! nc -z localhost 9090; do | |
sleep 0.1 | |
done | |
- name: Install k6 | |
id: k6_installation | |
run: | | |
cd examples/server/bench | |
wget --quiet https://github.com/grafana/k6/releases/download/v0.49.0/k6-v0.49.0-linux-amd64.tar.gz | |
tar xzf k6*.tar.gz --strip-components=1 | |
- name: Build | |
id: cmake_build | |
run: | | |
set -eux | |
mkdir build | |
cd build | |
cmake .. \ | |
-DLLAMA_NATIVE=OFF \ | |
-DLLAMA_BUILD_SERVER=ON \ | |
-DLLAMA_CURL=ON \ | |
-DLLAMA_CUBLAS=ON \ | |
-DCUDAToolkit_ROOT=/usr/local/cuda \ | |
-DCMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc \ | |
-DCMAKE_CUDA_ARCHITECTURES=75 \ | |
-DLLAMA_FATAL_WARNINGS=OFF \ | |
-DLLAMA_ALL_WARNINGS=OFF \ | |
-DCMAKE_BUILD_TYPE=Release; | |
cmake --build . --config Release -j $(nproc) --target server | |
- name: Download the dataset | |
id: download_dataset | |
run: | | |
cd examples/server/bench | |
wget --quiet https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/resolve/main/ShareGPT_V3_unfiltered_cleaned_split.json | |
- name: Server bench | |
id: server_bench | |
run: | | |
set -eux | |
cd examples/server/bench | |
source venv/bin/activate | |
BENCH_K6_BIN_PATH=./k6 python bench.py \ | |
--runner-label ${{ env.RUNNER_LABEL }} \ | |
--name ${{ github.job }} \ | |
--branch ${{ github.head_ref || github.ref_name }} \ | |
--commit ${{ github.sha }} \ | |
--scenario script.js \ | |
--duration 1m \ | |
--hf-repo ggml-org/models \ | |
--hf-file phi-2/ggml-model-q4_0.gguf \ | |
--model-path-prefix /models \ | |
--parallel 8 \ | |
-ngl 33 \ | |
--batch-size 2048 \ | |
--ubatch-size 256 \ | |
--ctx-size 16384 \ | |
--n-prompts 1000 \ | |
--max-prompt-tokens 1024 \ | |
--max-tokens 2048 | |
cat results.github.env >> $GITHUB_ENV | |
- uses: actions/upload-artifact@v4 | |
with: | |
name: benchmark-results | |
compression-level: 9 | |
path: | | |
examples/server/bench/*.png | |
examples/server/bench/*.json | |
examples/server/bench/*.log | |
- name: Commit status | |
uses: Sibz/github-status-action@v1 | |
with: | |
authToken: ${{secrets.GITHUB_TOKEN}} | |
context: bench-server-baseline | |
description: | | |
${{ env.BENCH_RESULTS }} | |
state: 'success' | |
- name: Upload benchmark images | |
uses: devicons/[email protected] | |
continue-on-error: true | |
id: imgur_step | |
with: | |
client_id: ${{secrets.IMGUR_CLIENT_ID}} | |
path: | | |
examples/server/bench/prompt_tokens_seconds.png | |
examples/server/bench/predicted_tokens_seconds.png | |
examples/server/bench/kv_cache_usage_ratio.png | |
examples/server/bench/requests_processing.png | |
- name: Extract mermaid | |
id: set_mermaid | |
run: | | |
set -eux | |
cd examples/server/bench | |
PROMPT_TOKENS_SECONDS=$(cat prompt_tokens_seconds.mermaid) | |
echo "PROMPT_TOKENS_SECONDS<<EOF" >> $GITHUB_ENV | |
echo "$PROMPT_TOKENS_SECONDS" >> $GITHUB_ENV | |
echo "EOF" >> $GITHUB_ENV | |
PREDICTED_TOKENS_SECONDS=$(cat predicted_tokens_seconds.mermaid) | |
echo "PREDICTED_TOKENS_SECONDS<<EOF" >> $GITHUB_ENV | |
echo "$PREDICTED_TOKENS_SECONDS" >> $GITHUB_ENV | |
echo "EOF" >> $GITHUB_ENV | |
KV_CACHE_USAGE_RATIO=$(cat kv_cache_usage_ratio.mermaid) | |
echo "KV_CACHE_USAGE_RATIO<<EOF" >> $GITHUB_ENV | |
echo "$KV_CACHE_USAGE_RATIO" >> $GITHUB_ENV | |
echo "EOF" >> $GITHUB_ENV | |
REQUESTS_PROCESSING=$(cat requests_processing.mermaid) | |
echo "REQUESTS_PROCESSING<<EOF" >> $GITHUB_ENV | |
echo "$REQUESTS_PROCESSING" >> $GITHUB_ENV | |
echo "EOF" >> $GITHUB_ENV | |
- name: Comment PR | |
uses: mshick/add-pr-comment@v2 | |
id: comment_pr | |
if: ${{ github.event.pull_request != '' }} | |
continue-on-error: true | |
with: | |
message-id: bench-${{ github.job }}-${{ env.RUNNER_LABEL }} | |
message: | | |
📈 **llama.cpp server** benchmark for _${{ github.job }}_ on _${{ env.RUNNER_LABEL }}_: **${{ env.BENCH_ITERATIONS}} iterations** 🚀 | |
- ${{ env.BENCH_GRAPH_TITLE }} | |
- ${{ env.BENCH_GRAPH_XLABEL }} | |
<p align="center"> | |
<img width="100%" height="100%" src="${{ fromJSON(steps.imgur_step.outputs.imgur_urls)[0] }}" alt="prompt_tokens_seconds" /> | |
```mermaid | |
${{ env.PROMPT_TOKENS_SECONDS }} | |
``` | |
<img width="100%" height="100%" src="${{ fromJSON(steps.imgur_step.outputs.imgur_urls)[1] }}" alt="predicted_tokens_seconds"/> | |
```mermaid | |
${{ env.PREDICTED_TOKENS_SECONDS }} | |
``` | |
</p> | |
<details> | |
<summary>Details</summary> | |
<p align="center"> | |
<img width="100%" height="100%" src="${{ fromJSON(steps.imgur_step.outputs.imgur_urls)[2] }}" alt="kv_cache_usage_ratio" /> | |
```mermaid | |
${{ env.KV_CACHE_USAGE_RATIO }} | |
``` | |
<img width="100%" height="100%" src="${{ fromJSON(steps.imgur_step.outputs.imgur_urls)[3] }}" alt="requests_processing"/> | |
```mermaid | |
${{ env.REQUESTS_PROCESSING }} | |
``` | |
</p> | |
</detail> |