rewrite html visualization
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					 1 changed files with 25 additions and 34 deletions
				
			
		
							
								
								
									
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								.github/workflows/llm-harness-evaluation.yml
									
									
									
									
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										59
									
								
								.github/workflows/llm-harness-evaluation.yml
									
									
									
									
										vendored
									
									
								
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			@ -233,7 +233,7 @@ jobs:
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          python ${{ github.workspace }}/python/llm/dev/benchmark/harness/make_table.py results
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  # TODO: change machine to store the results later        
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  llm-harness-summary-html:
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  llm-harness-html:
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    if: ${{github.event_name == 'schedule' || github.event_name == 'pull_request'}}
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    needs: [set-matrix, llm-harness-evaluation]
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    runs-on: ["self-hosted", "llm", "accuracy1", "accuracy-nightly"]
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			@ -248,54 +248,45 @@ jobs:
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        run: |
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          pip install --upgrade pip
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          pip install jsonlines  pytablewriter regex
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          pip install pandas==1.5.3
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      - name: Set output path
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        shell: bash
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        run: |    
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          DATE=$(date +%Y-%m-%d)
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          OUTPUT_PATH="results_$DATE"
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          echo "OUTPUT_PATH=$OUTPUT_PATH" >> $GITHUB_ENV
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          NIGHTLY_FOLDER="/home/arda/harness-action-runners/nightly-accuracy-data"
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          echo "NIGHTLY_FOLDER=$NIGHTLY_FOLDER" >> $GITHUB_ENV
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          PR_FOLDER="/home/arda/harness-action-runners/pr-accuracy-data"
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          echo "PR_FOLDER=$PR_FOLDER" >> $GITHUB_ENV
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          echo "DATE=$(date +%Y-%m-%d)" >> $GITHUB_ENV
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          if ${{github.event_name == 'pull_request'}}; then
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            echo 'ACC_FOLDER="/home/arda/harness-action-runners/pr-accuracy-data"' >> $GITHUB_ENV
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          fi
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          if ${{github.event_name == 'schedule'}}; then
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            echo 'ACC_FOLDER="/home/arda/harness-action-runners/nightly-accuracy-data"' >> $GITHUB_ENV
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          fi
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      - name: Download all results for nightly run
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        if: github.event_name == 'schedule'
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      - name: Download all results
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        uses: actions/download-artifact@v3
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        with:
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          name: harness_results
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          path: ${{ env.NIGHTLY_FOLDER}}/${{ env.OUTPUT_PATH }}
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      - name: Download all results for pr run
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        if: github.event_name == 'pull_request'
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        uses: actions/download-artifact@v3
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        with:
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          name: harness_results
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          path: ${{ env.PR_FOLDER}}/${{ env.OUTPUT_PATH }}
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          path: ${{ env.ACC_FOLDER}}/${{ env.DATE }}
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      # Save fp16.csv in the parent folder of env.nightly_folder
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      - name: Download fp16.csv for summary
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      - name: Download FP16 results
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        shell: bash
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        run: |
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          wget https://raw.githubusercontent.com/intel-analytics/BigDL/main/python/llm/dev/benchmark/harness/fp16.csv -O ${{ env.NIGHTLY_FOLDER}}/../fp16.csv
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          ls ${{ env.NIGHTLY_FOLDER}}/..
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          wget https://raw.githubusercontent.com/intel-analytics/BigDL/main/python/llm/test/benchmark/harness/fp16.csv -O $ACC_FOLDER/../fp16.csv
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          ls $ACC_FOLDER/..
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      - name: Summarize the results for nightly run
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        if: github.event_name == 'schedule'
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      - name: Write to CSV
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        working-directory: ${{ github.workspace }}/python/llm/dev/benchmark/harness
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        shell: bash
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        run: |
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          ls /home/arda/harness-action-runners/nightly-accuracy-data/${{ env.OUTPUT_PATH }}
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          pip install pandas==1.5.3
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          python ${{ github.workspace }}/python/llm/dev/benchmark/harness/make_table_and_csv.py ${{ env.NIGHTLY_FOLDER}}/${{ env.OUTPUT_PATH }} ${{ env.NIGHTLY_FOLDER}}
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          python ${{ github.workspace }}/python/llm/dev/benchmark/harness/harness_csv_to_html.py -f ${{ env.NIGHTLY_FOLDER}}
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          python ${{ github.workspace }}/python/llm/dev/benchmark/harness/update_html_in_parent_folder.py -f ${{ env.NIGHTLY_FOLDER }}
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          ls $ACC_FOLDER/$DATE
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          python make_table_and_csv.py $ACC_FOLDER/$DATE $ACC_FOLDER
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      - name: Summarize the results for pull request
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        if: github.event_name == 'pull_request'
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      - name: Update HTML
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        working-directory: ${{ github.workspace }}/python/llm/test/benchmark/harness
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        shell: bash
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        run: |
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          ls /home/arda/harness-action-runners/pr-accuracy-data/${{ env.OUTPUT_PATH }}
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          pip install pandas==1.5.3
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          python ${{ github.workspace }}/python/llm/dev/benchmark/harness/make_table_and_csv.py ${{ env.PR_FOLDER}}/${{ env.OUTPUT_PATH }} ${{ env.PR_FOLDER}}
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          python ${{ github.workspace }}/python/llm/dev/benchmark/harness/harness_csv_to_html.py -f ${{ env.PR_FOLDER}}
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          python harness_csv_to_html.py -f $ACC_FOLDER
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          if github.event_name == 'schedule'; then
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            python update_html_in_parent_folder.py -f $ACC_FOLDER
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          fi
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