Add html report of ppl #82
Workflow file for this run
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
| name: LLM Perplexity Evaluation | |
| # Cancel previous runs in the PR when you push new commits | |
| concurrency: | |
| group: ${{ github.workflow }}-llm-nightly-test-${{ github.event.pull_request.number || github.run_id }} | |
| cancel-in-progress: true | |
| permissions: | |
| contents: read | |
| # Controls when the action will run. | |
| on: | |
| schedule: | |
| - cron: "00 12 * * *" # GMT time, 12:00 GMT == 20:00 China | |
| pull_request: | |
| branches: [main] | |
| paths: | |
| - ".github/workflows/llm-ppl-evaluation.yml" | |
| # Allows you to run this workflow manually from the Actions tab | |
| workflow_dispatch: | |
| inputs: | |
| seq_len: | |
| description: 'sequence length, input one number and must be quoted.' | |
| required: true | |
| type: string | |
| model_name: | |
| description: 'Model names, separated by comma and must be quoted.' | |
| required: true | |
| type: string | |
| precision: | |
| description: 'Precisions, separated by comma and must be quoted.' | |
| required: true | |
| type: string | |
| runs-on: | |
| description: 'Labels to filter the runners, separated by comma and must be quoted.' | |
| default: "accuracy" | |
| required: false | |
| type: string | |
| # A workflow run is made up of one or more jobs that can run sequentially or in parallel | |
| jobs: | |
| #llm-cpp-build: | |
| # uses: ./.github/workflows/llm-binary-build.yml | |
| set-matrix: | |
| runs-on: ubuntu-latest | |
| outputs: | |
| seq_len: ${{ steps.set-matrix.outputs.seq_len }} | |
| model_name: ${{ steps.set-matrix.outputs.model_name }} | |
| precision: ${{ steps.set-matrix.outputs.precision }} | |
| runner: ${{ steps.set-matrix.outputs.runner }} | |
| steps: | |
| - name: set-nightly-env | |
| if: ${{github.event_name == 'schedule'}} | |
| env: | |
| NIGHTLY_MATRIX_SEQ_LEN: '["512"]' | |
| NIGHTLY_MATRIX_MODEL_NAME: '["Llama-2-7b-chat-hf", "mpt-7b-chat", | |
| "falcon-7b-instruct-with-patch", "Mistral-7B-v0.1", | |
| "chatglm2-6b", "chatglm3-6b", "Baichuan2-7B-Chat"]' | |
| NIGHTLY_MATRIX_PRECISION: '["sym_int4 fp8"]' | |
| NIGHTLY_LABELS: '["self-hosted", "llm", "accuracy-nightly"]' | |
| run: | | |
| echo "seq_len=$NIGHTLY_MATRIX_SEQ_LEN" >> $GITHUB_ENV | |
| echo "model_name=$NIGHTLY_MATRIX_MODEL_NAME" >> $GITHUB_ENV | |
| echo "precision=$NIGHTLY_MATRIX_PRECISION" >> $GITHUB_ENV | |
| echo "runner=$NIGHTLY_LABELS" >> $GITHUB_ENV | |
| - name: set-pr-env | |
| if: ${{github.event_name == 'pull_request'}} | |
| env: | |
| PR_MATRIX_SEQ_LEN: '["512"]' | |
| PR_MATRIX_MODEL_NAME: '["Llama-2-7b-chat-hf"]' | |
| PR_MATRIX_PRECISION: '["sym_int4"]' | |
| PR_LABELS: '["self-hosted", "llm", "temp-arc01"]' | |
| run: | | |
| echo "seq_len=$PR_MATRIX_SEQ_LEN" >> $GITHUB_ENV | |
| echo "model_name=$PR_MATRIX_MODEL_NAME" >> $GITHUB_ENV | |
| echo "precision=$PR_MATRIX_PRECISION" >> $GITHUB_ENV | |
| echo "runner=$PR_LABELS" >> $GITHUB_ENV | |
| - name: set-manual-env | |
| if: ${{github.event_name == 'workflow_dispatch'}} | |
| env: | |
| MANUAL_MATRIX_SEQ_LEN: ${{format('[ {0} ]', inputs.seq_len)}} | |
| MANUAL_MATRIX_MODEL_NAME: ${{format('[ {0} ]', inputs.model_name)}} | |
| MANUAL_MATRIX_PRECISION: ${{format('[ {0} ]', inputs.precision)}} | |
| MANUAL_LABELS: ${{format('["self-hosted", "llm", {0}]', inputs.runs-on)}} | |
| run: | | |
| echo "seq_len=$MANUAL_MATRIX_SEQ_LEN" >> $GITHUB_ENV | |
| echo "model_name=$MANUAL_MATRIX_MODEL_NAME" >> $GITHUB_ENV | |
| echo "precision=$MANUAL_MATRIX_PRECISION" >> $GITHUB_ENV | |
| echo "runner=$MANUAL_LABELS" >> $GITHUB_ENV | |
| - name: set-matrix | |
| id: set-matrix | |
| run: | | |
| echo "seq_len=$seq_len" >> $GITHUB_OUTPUT | |
| echo "model_name=$model_name" >> $GITHUB_OUTPUT | |
| echo "precision=$precision" >> $GITHUB_OUTPUT | |
| echo "runner=$runner" >> $GITHUB_OUTPUT | |
| llm-ppl-evaluation: | |
| timeout-minutes: 1000 | |
| needs: [set-matrix] | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| python-version: ["3.9"] | |
| model_name: ${{ fromJson(needs.set-matrix.outputs.model_name) }} | |
| precision: ${{ fromJson(needs.set-matrix.outputs.precision) }} | |
| seq_len: ${{ fromJson(needs.set-matrix.outputs.seq_len) }} | |
| device: [xpu] | |
| runs-on: ${{ fromJson(needs.set-matrix.outputs.runner) }} | |
| env: | |
| ANALYTICS_ZOO_ROOT: ${{ github.workspace }} | |
| ORIGIN_DIR: /mnt/disk1/models | |
| DATASET_DIR: /mnt/disk1/datasets/THUDM___long_bench/ | |
| steps: | |
| - name: Install BigDL-LLM from Pypi | |
| shell: bash | |
| run: | | |
| pip install --pre --upgrade bigdl-llm[xpu] -f https://developer.intel.com/ipex-whl-stable-xpu | |
| test_version_date=`date -d 'yesterday' '+%Y%m%d'` | |
| if ! pip show bigdl-llm | grep $test_version_date; then | |
| echo "Did not install bigdl-llm with excepted version $test_version_date" | |
| exit 1 | |
| fi | |
| - uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # actions/checkout@v3 | |
| - name: Set up Python ${{ matrix.python-version }} | |
| uses: actions/setup-python@v4 | |
| with: | |
| python-version: ${{ matrix.python-version }} | |
| - name: Install dependencies | |
| shell: bash | |
| run: | | |
| python -m pip install --upgrade pip | |
| python -m pip install --upgrade setuptools==58.0.4 | |
| python -m pip install --upgrade wheel | |
| python -m pip install --upgrade sympy==1.12 | |
| #- name: Download llm binary | |
| # uses: ./.github/actions/llm/download-llm-binary | |
| #- name: Run LLM install (all) test | |
| # uses: ./.github/actions/llm/setup-llm-env | |
| # with: | |
| # extra-dependency: "xpu_2.1" | |
| - name: Download models | |
| shell: bash | |
| run: | | |
| echo "MODEL_PATH=${ORIGIN_DIR}/${{ matrix.model_name }}/" >> "$GITHUB_ENV" | |
| MODEL_PATH=${ORIGIN_DIR}/${{ matrix.model_name }}/ | |
| wget -r -nH -nc --no-verbose --cut-dirs=1 ${LLM_FTP_URL}/llm/${{ matrix.model_name }} -P ${ORIGIN_DIR} | |
| - name: Upgrade packages | |
| shell: bash | |
| run: | | |
| pip install --upgrade datasets==2.14.6 | |
| if [ "${{ matrix.model_name }}" = "Mistral-7B-v0.1" ]; then | |
| pip install --upgrade transformers==4.36 | |
| else | |
| pip install --upgrade transformers==4.31 | |
| fi | |
| - name: Run perplexity | |
| shell: bash | |
| working-directory: ${{ github.workspace }}/python/llm/dev/benchmark/perplexity | |
| env: | |
| USE_XETLA: OFF | |
| SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS: 1 | |
| run: | | |
| source /opt/intel/oneapi/setvars.sh | |
| if [[ "${{ matrix.model_name }}" == *"chatglm"* || "${{ matrix.model_name }}" == *"Baichuan"* ]]; then | |
| LANGUAGE="zh" | |
| else | |
| LANGUAGE="en" | |
| fi | |
| python run.py \ | |
| --seq_len ${{ matrix.seq_len }} \ | |
| --model_path ${MODEL_PATH} \ | |
| --precisions ${{ matrix.precision }} \ | |
| --device ${{ matrix.device }} \ | |
| --dataset_path ${DATASET_DIR} \ | |
| --language ${LANGUAGE} \ | |
| --output_path results | |
| - uses: actions/upload-artifact@v3 | |
| with: | |
| name: ppl_results | |
| path: | |
| ${{ github.workspace }}/python/llm/dev/benchmark/perplexity/results/** | |
| - name: echo single result | |
| shell: bash | |
| working-directory: ${{ github.workspace }}/python/llm/dev/benchmark/perplexity/results/ | |
| run: | | |
| if [[ "${{ matrix.model_name }}" == *"chatglm"* || "${{ matrix.model_name }}" == *"Baichuan"* ]]; then | |
| LANGUAGE="zh" | |
| else | |
| LANGUAGE="en" | |
| fi | |
| cat ${{ matrix.model_name }}/${{ matrix.device }}/${{ matrix.precision }}/${LANGUAGE}/result.json | |
| llm-ppl-summary: | |
| if: ${{ always() }} | |
| needs: llm-ppl-evaluation | |
| runs-on: ubuntu-latest | |
| steps: | |
| - uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # actions/checkout@v3 | |
| - name: Set up Python 3.9 | |
| uses: actions/setup-python@v4 | |
| with: | |
| python-version: 3.9 | |
| - name: Install dependencies | |
| shell: bash | |
| run: | | |
| pip install --upgrade pip | |
| pip install jsonlines pytablewriter regex | |
| - name: Download all results | |
| uses: actions/download-artifact@v3 | |
| with: | |
| name: ppl_results | |
| path: results | |
| - name: Summarize the results | |
| shell: bash | |
| run: | | |
| ls results | |
| python ${{ github.workspace }}/python/llm/dev/benchmark/perplexity/make_table_and_csv.py results | |
| llm-ppl-summary-html: | |
| if: ${{github.event_name == 'schedule' || github.event_name == 'pull_request'}} | |
| needs: [set-matrix, llm-ppl-evaluation] | |
| runs-on: ["self-hosted", "llm", "accuracy1", "accuracy-nightly"] | |
| steps: | |
| - uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # actions/checkout@v3 | |
| - name: Set up Python 3.9 | |
| uses: actions/setup-python@v4 | |
| with: | |
| python-version: 3.9 | |
| - name: Install dependencies | |
| shell: bash | |
| run: | | |
| pip install --upgrade pip | |
| pip install jsonlines pytablewriter regex | |
| - name: Set output path | |
| shell: bash | |
| run: | | |
| DATE=$(date +%Y-%m-%d) | |
| OUTPUT_PATH="results_$DATE" | |
| echo "OUTPUT_PATH=$OUTPUT_PATH" >> $GITHUB_ENV | |
| NIGHTLY_FOLDER="/home/arda/ppl-action-runners/nightly-accuracy-data" | |
| echo "NIGHTLY_FOLDER=$NIGHTLY_FOLDER" >> $GITHUB_ENV | |
| PR_FOLDER="/home/arda/ppl-action-runners/pr-accuracy-data" | |
| echo "PR_FOLDER=$PR_FOLDER" >> $GITHUB_ENV | |
| - name: Download all results for nightly run | |
| if: github.event_name == 'schedule' | |
| uses: actions/download-artifact@v3 | |
| with: | |
| name: ppl_results | |
| path: ${{ env.NIGHTLY_FOLDER}}/${{ env.OUTPUT_PATH }} | |
| - name: Download all results for pr run | |
| if: github.event_name == 'pull_request' | |
| uses: actions/download-artifact@v3 | |
| with: | |
| name: ppl_results | |
| path: ${{ env.PR_FOLDER}}/${{ env.OUTPUT_PATH }} | |
| # Save fp16.csv in the parent folder of env.nightly_folder | |
| - name: Download fp16.csv for summary | |
| shell: bash | |
| run: | | |
| wget https://raw.githubusercontent.com/intel-analytics/BigDL/main/python/llm/dev/benchmark/perplexity/fp16.csv -O ${{ env.NIGHTLY_FOLDER}}/../fp16.csv | |
| ls ${{ env.NIGHTLY_FOLDER}}/.. | |
| - name: Summarize the results for nightly run | |
| if: github.event_name == 'schedule' | |
| shell: bash | |
| run: | | |
| ls /home/arda/ppl-action-runners/nightly-accuracy-data/${{ env.OUTPUT_PATH }} | |
| pip install pandas==1.5.3 | |
| python ${{ github.workspace }}/python/llm/dev/benchmark/perplexity/make_table_and_csv.py ${{ env.NIGHTLY_FOLDER}}/${{ env.OUTPUT_PATH }} ${{ env.NIGHTLY_FOLDER}} | |
| python ${{ github.workspace }}/python/llm/dev/benchmark/perplexity/ppl_csv_to_html.py -f ${{ env.NIGHTLY_FOLDER}} | |
| python ${{ github.workspace }}/python/llm/dev/benchmark/perplexity/update_html_in_parent_folder.py -f ${{ env.NIGHTLY_FOLDER }} | |
| - name: Summarize the results for pull request | |
| if: github.event_name == 'pull_request' | |
| shell: bash | |
| run: | | |
| ls /home/arda/ppl-action-runners/pr-accuracy-data/${{ env.OUTPUT_PATH }} | |
| pip install pandas==1.5.3 | |
| python ${{ github.workspace }}/python/llm/dev/benchmark/perplexity/make_table_and_csv.py ${{ env.PR_FOLDER}}/${{ env.OUTPUT_PATH }} ${{ env.PR_FOLDER}} | |
| python ${{ github.workspace }}/python/llm/dev/benchmark/perplexity/ppl_csv_to_html.py -f ${{ env.PR_FOLDER}} |