evaluate #32
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| name: evaluate | |
| on: | |
| workflow_dispatch: | |
| inputs: | |
| repo_org: | |
| required: false | |
| description: 'Tested repository organization name. Default is InternLM/lmdeploy' | |
| type: string | |
| default: 'InternLM/lmdeploy' | |
| repo_ref: | |
| required: false | |
| description: 'Set branch or tag or commit id. Default is "main"' | |
| type: string | |
| default: 'main' | |
| models: | |
| required: true | |
| description: 'Tested TurboMind models list. eg. [internlm_chat_7b,internlm_chat_7b_w8a16]' | |
| type: string | |
| default: '[tb_internlm2_chat_7b,tb_internlm2_chat_20b,tb_internlm2_chat_20b_w4a16,tb_llama2_chat_7b,tb_qwen1_5_chat_7b,tb_llama_3_8b_instruct,pt_internlm2_chat_7b,pt_internlm2_chat_20b,pt_llama2_chat_7b,pt_qwen1_5_chat_7b,pt_qwen1_5_moe_2_7b_chat,pt_llama_3_8b_instruct,tb_internlm2_chat_7b_kvint4,tb_internlm2_chat_20b_kvint4,tb_qwen1_5_chat_7b_kvint4,tb_llama_3_8b_instruct_kvint4]' | |
| datasets: | |
| required: true | |
| description: 'Tested datasets list. eg. [*bbh_datasets,*ceval_datasets,*cmmlu_datasets,*GaokaoBench_datasets,*gpqa_datasets,*gsm8k_datasets,*hellaswag_datasets,*humaneval_datasets,*ifeval_datasets,*math_datasets,*sanitized_mbpp_datasets,*mmlu_datasets,*nq_datasets,*race_datasets,*WiC_datasets,*WSC_datasets,*TheoremQA_datasets,*triviaqa_datasets,*winogrande_datasets,*crowspairs_datasets]' | |
| type: string | |
| default: '[*mmlu_datasets, *gsm8k_datasets]' | |
| devices: | |
| required: true | |
| description: 'CUDA_VISIBLE_DEVICES.' | |
| type: string | |
| default: '0,1,2,3,4,5,6,7' | |
| dependency_pkgs: | |
| required: true | |
| description: 'Dependency packages, you can also set a specific version' | |
| type: string | |
| default: 'pynvml packaging protobuf transformers_stream_generator transformers' | |
| jobs: | |
| linux-build: | |
| if: ${{github.event_name == 'schedule' || (!cancelled() && !inputs.offline_mode)}} | |
| strategy: | |
| matrix: | |
| pyver: [py38] | |
| runs-on: ubuntu-latest | |
| env: | |
| PYTHON_VERSION: ${{ matrix.pyver }} | |
| PLAT_NAME: manylinux2014_x86_64 | |
| DOCKER_TAG: cuda11.8 | |
| OUTPUT_FOLDER: cuda11.8_dist_${{ github.run_id }} | |
| steps: | |
| - name: Checkout repository | |
| uses: actions/checkout@v3 | |
| with: | |
| repository: ${{ github.event.inputs.repo_org || 'InternLM/lmdeploy' }} | |
| ref: ${{github.event.inputs.repo_ref || 'main'}} | |
| - name: Build | |
| run: | | |
| echo ${PYTHON_VERSION} | |
| echo ${PLAT_NAME} | |
| echo ${DOCKER_TAG} | |
| echo ${OUTPUT_FOLDER} | |
| echo ${GITHUB_RUN_ID} | |
| # remove -it | |
| sed -i 's/docker run --rm -it/docker run --rm/g' builder/manywheel/build_wheel.sh | |
| bash builder/manywheel/build_wheel.sh ${PYTHON_VERSION} ${PLAT_NAME} ${DOCKER_TAG} ${OUTPUT_FOLDER} | |
| - name: Upload Artifacts | |
| uses: actions/upload-artifact@v4 | |
| with: | |
| if-no-files-found: error | |
| path: builder/manywheel/${{ env.OUTPUT_FOLDER }} | |
| retention-days: 1 | |
| name: my-artifact-${{ github.run_id }}-${{ matrix.pyver }} | |
| evaluate: | |
| needs: linux-build | |
| runs-on: [self-hosted, linux-a100] | |
| timeout-minutes: 4320 # 72hours | |
| container: | |
| image: nvcr.io/nvidia/tritonserver:22.12-py3 | |
| options: "--gpus=all --ipc=host --user root -e PIP_CACHE_DIR=/root/.cache/pip --pull never" | |
| volumes: | |
| - /nvme/github-actions/pip-cache:/root/.cache/pip | |
| - /nvme/github-actions/packages:/root/packages | |
| - /nvme/github-actions/resources:/root/resources | |
| - /nvme/github-actions/opencompass-data:/root/opencompass-data | |
| - /nvme/qa_test_models/evaluation-reports:/root/evaluation-reports | |
| - /nvme/qa_test_models:/root/models | |
| - /usr/share/zoneinfo/Asia/Shanghai:/etc/localtime:ro | |
| steps: | |
| - name: Setup systems | |
| run: | | |
| export TIME_STAMP="$(date +'%Y%m%d-%H%M%S')" | |
| echo "TIME_STAMP=$TIME_STAMP" >> $GITHUB_ENV | |
| - name: Clone repository | |
| uses: actions/checkout@v3 | |
| with: | |
| repository: ${{ github.event.inputs.repo_org || 'InternLM/lmdeploy' }} | |
| ref: ${{github.event.inputs.repo_ref || 'main'}} | |
| - name: Download Artifacts | |
| uses: actions/download-artifact@v4 | |
| with: | |
| name: my-artifact-${{ github.run_id }}-py38 | |
| - name: Install pytorch | |
| run: | | |
| python3 -m pip cache dir | |
| python3 -m pip install torch==2.1.0 torchvision==0.16.0 --index-url https://download.pytorch.org/whl/cu118 | |
| - name: Install lmdeploy - dependency | |
| run: | | |
| python3 -m pip install ${{inputs.dependency_pkgs }} | |
| # manually install flash attn | |
| # the install packeage from. https://github.com/Dao-AILab/flash-attention/releases | |
| python3 -m pip install /root/packages/flash_attn-2.3.6+cu118torch2.1cxx11abiFALSE-cp38-cp38-linux_x86_64.whl | |
| - name: Install lmdeploy | |
| run: | | |
| python3 -m pip install lmdeploy-*.whl | |
| python3 -m pip install -r requirements/test.txt | |
| - name: Install opencompass | |
| run: | | |
| git clone --depth=1 https://github.com/open-compass/opencompass.git | |
| cd opencompass | |
| python3 -m pip install --user -e . | |
| echo "OPENCOMPASS_DIR=$(pwd)" >> $GITHUB_ENV | |
| - name: Check env | |
| run: | | |
| python3 -m pip list | |
| lmdeploy check_env | |
| - name: Setup paths for evaluation | |
| run: | | |
| ln -s /root/opencompass-data ./data | |
| python3 .github/scripts/action_tools.py create_model_links /root/models . | |
| - name: Evaluate models | |
| run: | | |
| echo ${{github.event.inputs.models}} | |
| echo ${{github.event.inputs.devices}} | |
| export LMDEPLOY_DIR=$(pwd) | |
| export CUDA_VISIBLE_DEVICES="${{github.event.inputs.devices}}" | |
| python3 .github/scripts/action_tools.py evaluate \ | |
| --models "${{github.event.inputs.models}}" \ | |
| --datasets "${{github.event.inputs.datasets}}" \ | |
| --workspace /root/evaluation-reports/$TIME_STAMP | |
| - name: Clear workspace | |
| if: always() | |
| run: | | |
| export workdir=$(pwd) | |
| cd .. | |
| rm -rf $workdir | |
| mkdir $workdir | |
| chmod -R 777 $workdir |