Benchmark #31
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # 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 | |
| sha: | |
| description: 'Commit SHA1 to build' | |
| required: false | |
| type: string | |
| duration: | |
| description: 'Duration of the bench' | |
| type: string | |
| default: 10m | |
| push: | |
| branches: | |
| - master | |
| paths: ['llama.cpp', 'ggml.c', 'ggml-backend.c', 'ggml-quants.c', '**/*.cu', 'examples/server/*.h*', 'examples/server/*.cpp'] | |
| pull_request_target: | |
| types: [opened, synchronize, reopened] | |
| paths: ['llama.cpp', 'ggml.c', 'ggml-backend.c', 'ggml-quants.c', '**/*.cu', 'examples/server/*.h*', 'examples/server/*.cpp'] | |
| schedule: | |
| - cron: '04 2 * * *' | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.ref }}-${{ github.head_ref || github.run_id }}-${{ github.event.inputs.sha }} | |
| 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 | |
| N_USERS: 8 | |
| DURATION: 10m | |
| strategy: | |
| matrix: | |
| model: [phi-2] | |
| ftype: [q4_0, q8_0, f16] | |
| include: | |
| - model: phi-2 | |
| ftype: q4_0 | |
| pr_comment_enabled: "true" | |
| if: | | |
| inputs.gpu-series == 'Standard_NC4as_T4_v3' | |
| || ( | |
| github.event_name == 'schedule' | |
| && github.ref_name == 'master' | |
| && github.repository_owner == 'ggerganov' | |
| ) | |
| || github.event_name == 'pull_request_target' | |
| || ( | |
| github.event_name == 'push' | |
| && github.event.ref == 'refs/heads/master' | |
| && github.repository_owner == 'ggerganov' | |
| ) | |
| steps: | |
| - name: Clone | |
| id: checkout | |
| uses: actions/checkout@v4 | |
| with: | |
| fetch-depth: 0 | |
| ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }} | |
| - 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: Set up Go | |
| uses: actions/setup-go@v5 | |
| with: | |
| go-version: '1.21' | |
| - name: Install k6 and xk6-sse | |
| id: k6_installation | |
| run: | | |
| cd examples/server/bench | |
| go install go.k6.io/xk6/cmd/xk6@latest | |
| xk6 build master \ | |
| --with github.com/phymbert/xk6-sse | |
| - name: Build | |
| id: cmake_build | |
| run: | | |
| set -eux | |
| cmake -B build \ | |
| -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 build --config Release -j $(nproc) --target llama-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 | |
| python bench.py \ | |
| --runner-label ${{ env.RUNNER_LABEL }} \ | |
| --name ${{ github.job }} \ | |
| --branch ${{ github.head_ref || github.ref_name }} \ | |
| --commit ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha }} \ | |
| --scenario script.js \ | |
| --duration ${{ github.event.inputs.duration || env.DURATION }} \ | |
| --hf-repo ggml-org/models \ | |
| --hf-file ${{ matrix.model }}/ggml-model-${{ matrix.ftype }}.gguf \ | |
| --model-path-prefix /models \ | |
| --parallel ${{ env.N_USERS }} \ | |
| -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 >> $GITHUB_ENV | |
| # Remove dataset as we do not want it in the artefact | |
| rm ShareGPT_V3_unfiltered_cleaned_split.json | |
| - uses: actions/upload-artifact@v4 | |
| with: | |
| name: bench-server-${{ github.job }}-${{ env.RUNNER_LABEL }}-${{ matrix.model }}-${{ matrix.ftype }} | |
| compression-level: 9 | |
| path: | | |
| examples/server/bench/*.jpg | |
| examples/server/bench/*.json | |
| examples/server/bench/*.log | |
| - name: Commit status | |
| uses: Sibz/github-status-action@v1 | |
| with: | |
| authToken: ${{secrets.GITHUB_TOKEN}} | |
| sha: ${{ inputs.sha || github.event.pull_request.head.sha || github.sha }} | |
| context: bench-server-${{ github.job }}-${{ env.RUNNER_LABEL }}-${{ matrix.model }}-${{ matrix.ftype }} | |
| description: | | |
| ${{ env.BENCH_RESULTS }} | |
| state: 'success' | |
| - name: Upload benchmark images | |
| uses: devicons/[email protected] | |
| continue-on-error: true # Important as it looks unstable: 503 | |
| id: imgur_step | |
| with: | |
| client_id: ${{secrets.IMGUR_CLIENT_ID}} | |
| path: | | |
| examples/server/bench/prompt_tokens_seconds.jpg | |
| examples/server/bench/predicted_tokens_seconds.jpg | |
| examples/server/bench/kv_cache_usage_ratio.jpg | |
| examples/server/bench/requests_processing.jpg | |
| - name: Extract mermaid | |
| id: set_mermaid | |
| run: | | |
| set -eux | |
| cd examples/server/bench | |
| PROMPT_TOKENS_SECONDS=$(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" >> $GITHUB_ENV | |
| - name: Extract image url | |
| id: extract_image_url | |
| continue-on-error: true | |
| run: | | |
| set -eux | |
| echo "IMAGE_O=${{ fromJSON(steps.imgur_step.outputs.imgur_urls)[0] }}" >> $GITHUB_ENV | |
| echo "IMAGE_1=${{ fromJSON(steps.imgur_step.outputs.imgur_urls)[1] }}" >> $GITHUB_ENV | |
| echo "IMAGE_2=${{ fromJSON(steps.imgur_step.outputs.imgur_urls)[2] }}" >> $GITHUB_ENV | |
| echo "IMAGE_3=${{ fromJSON(steps.imgur_step.outputs.imgur_urls)[3] }}" >> $GITHUB_ENV | |
| - name: Comment PR | |
| uses: mshick/add-pr-comment@v2 | |
| id: comment_pr | |
| if: ${{ github.event.pull_request != '' && matrix.pr_comment_enabled == 'true' }} | |
| with: | |
| message-id: bench-server-${{ github.job }}-${{ env.RUNNER_LABEL }}-${{ matrix.model }}-${{ matrix.ftype }} | |
| message: | | |
| <p align="center"> | |
| 📈 **llama.cpp server** for _${{ github.job }}_ on _${{ env.RUNNER_LABEL }}_ for `${{ matrix.model }}`-`${{ matrix.ftype }}`: **${{ env.BENCH_ITERATIONS}} iterations** 🚀 | |
| </p> | |
| <details> | |
| <summary>Expand details for performance related PR only</summary> | |
| - Concurrent users: ${{ env.N_USERS }}, duration: ${{ github.event.inputs.duration || env.DURATION }} | |
| - HTTP request : avg=${{ env.HTTP_REQ_DURATION_AVG }}ms p(95)=${{ env.HTTP_REQ_DURATION_P_95_ }}ms fails=${{ env.HTTP_REQ_FAILED_PASSES }}, finish reason: stop=${{ env.LLAMACPP_COMPLETIONS_STOP_RATE_PASSES }} truncated=${{ env.LLAMACPP_COMPLETIONS_TRUNCATED_RATE_PASSES }} | |
| - Prompt processing (pp): avg=${{ env.LLAMACPP_PROMPT_PROCESSING_SECOND_AVG }}tk/s p(95)=${{ env.LLAMACPP_PROMPT_PROCESSING_SECOND_P_95_ }}tk/s | |
| - Token generation (tg): avg=${{ env.LLAMACPP_TOKENS_SECOND_AVG }}tk/s p(95)=${{ env.LLAMACPP_TOKENS_SECOND_P_95_ }}tk/s | |
| - ${{ env.BENCH_GRAPH_XLABEL }} | |
| <p align="center"> | |
| <img width="100%" height="100%" src="${{ env.IMAGE_O }}" alt="prompt_tokens_seconds" /> | |
| <details> | |
| <summary>More</summary> | |
| ```mermaid | |
| ${{ env.PROMPT_TOKENS_SECONDS }} | |
| ``` | |
| </details> | |
| <img width="100%" height="100%" src="${{ env.IMAGE_1 }}" alt="predicted_tokens_seconds"/> | |
| <details> | |
| <summary>More</summary> | |
| ```mermaid | |
| ${{ env.PREDICTED_TOKENS_SECONDS }} | |
| ``` | |
| </details> | |
| </p> | |
| <details> | |
| <summary>Details</summary> | |
| <p align="center"> | |
| <img width="100%" height="100%" src="${{ env.IMAGE_2 }}" alt="kv_cache_usage_ratio" /> | |
| <details> | |
| <summary>More</summary> | |
| ```mermaid | |
| ${{ env.KV_CACHE_USAGE_RATIO }} | |
| ``` | |
| </details> | |
| <img width="100%" height="100%" src="${{ env.IMAGE_3 }}" alt="requests_processing"/> | |
| <details> | |
| <summary>More</summary> | |
| ```mermaid | |
| ${{ env.REQUESTS_PROCESSING }} | |
| ``` | |
| </details> | |
| </p> | |
| </details> | |
| </details> |