Add llm-ppl workflow (#10074)
* add llm-ppl workflow * update the DATASET_DIR * test multiple precisions * modify nightly test * match the updated ppl code * add matrix.include * fix the include error * update the include * add more model * update the precision of include * update nightly time and add more models * fix the workflow_dispatch description, change default model of pr and modify the env
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hxsz1997
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.github/workflows/llm-ppl-evaluation.yml
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.github/workflows/llm-ppl-evaluation.yml
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name: LLM Perplexity Evalution
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# Cancel previous runs in the PR when you push new commits
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concurrency:
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group: ${{ github.workflow }}-llm-nightly-test-${{ github.event.pull_request.number || github.run_id }}
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cancel-in-progress: true
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# Controls when the action will run.
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on:
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schedule:
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- cron: "00 14 * * *" # GMT time, 14:00 GMT == 22:00 China
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pull_request:
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branches: [main]
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paths:
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- ".github/workflows/llm-ppl-evaluation.yml"
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# Allows you to run this workflow manually from the Actions tab
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workflow_dispatch:
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inputs:
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seq_len:
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description: 'sequence length, input one number'
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required: true
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type: number
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model_name:
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description: 'Model names, seperated by comma and must be quoted.'
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required: true
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type: string
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precision:
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description: 'Precisions, seperated by comma and must be quoted.'
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required: true
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type: string
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language:
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description: 'language, can be en, zh, or all'
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required: true
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type: choice
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options:
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- en
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- zh
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- all
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runs-on:
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description: 'Labels to filter the runners, seperated by comma and must be quoted.'
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default: "accuracy"
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required: false
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type: string
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# A workflow run is made up of one or more jobs that can run sequentially or in parallel
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jobs:
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llm-cpp-build:
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uses: ./.github/workflows/llm-binary-build.yml
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set-matrix:
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runs-on: ubuntu-latest
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outputs:
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seq_len: ${{ steps.set-matrix.outputs.seq_len }}
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model_name: ${{ steps.set-matrix.outputs.model_name }}
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precision: ${{ steps.set-matrix.outputs.precision }}
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language: ${{ steps.set-matrix.outputs.language }}
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runner: ${{ steps.set-matrix.outputs.runner }}
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steps:
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- name: set-nightly-env
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if: ${{github.event_name == 'schedule'}}
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env:
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NIGHTLY_MATRIX_SEQ_LEN: '["512"]'
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NIGHTLY_MATRIX_MODEL_NAME: '["Llama-2-7b-chat-hf", "mpt-7b-chat",
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"falcon-7b-instruct-with-patch", "Mistral-7B-v0.1"]'
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NIGHTLY_MATRIX_LANGUAGE: '["en"]'
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NIGHTLY_MATRIX_PRECISION: '["sym_int4 fp8"]'
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NIGHTLY_LABELS: '["self-hosted", "llm", "accuracy-nightly"]'
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run: |
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echo "seq_len=$NIGHTLY_MATRIX_SEQ_LEN" >> $GITHUB_ENV
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echo "model_name=$NIGHTLY_MATRIX_MODEL_NAME" >> $GITHUB_ENV
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echo "precision=$NIGHTLY_MATRIX_PRECISION" >> $GITHUB_ENV
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echo "language=$NIGHTLY_MATRIX_LANGUAGE" >> $GITHUB_ENV
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echo "runner=$NIGHTLY_LABELS" >> $GITHUB_ENV
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- name: set-pr-env
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if: ${{github.event_name == 'pull_request'}}
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env:
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PR_MATRIX_SEQ_LEN: '["512"]'
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PR_MATRIX_MODEL_NAME: '["Llama-2-7b-chat-hf"]'
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PR_MATRIX_LANGUAGE: '["en"]'
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PR_MATRIX_PRECISION: '["sym_int4"]'
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PR_LABELS: '["self-hosted", "llm", "temp-arc01"]'
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run: |
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echo "seq_len=$PR_MATRIX_SEQ_LEN" >> $GITHUB_ENV
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echo "model_name=$PR_MATRIX_MODEL_NAME" >> $GITHUB_ENV
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echo "precision=$PR_MATRIX_PRECISION" >> $GITHUB_ENV
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echo "language=$PR_MATRIX_LANGUAGE" >> $GITHUB_ENV
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echo "runner=$PR_LABELS" >> $GITHUB_ENV
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- name: set-manual-env
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if: ${{github.event_name == 'workflow_dispatch'}}
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env:
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MANUAL_MATRIX_SEQ_LEN: ${{format('[ {0} ]', inputs.seq_len)}}
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MANUAL_MATRIX_MODEL_NAME: ${{format('[ {0} ]', inputs.model_name)}}
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MANUAL_MATRIX_LANGUAGE: ${{format('[ {0} ]', inputs.language)}}
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MANUAL_MATRIX_PRECISION: ${{format('[ {0} ]', inputs.precision)}}
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MANUAL_LABELS: ${{format('["self-hosted", "llm", {0}]', inputs.runs-on)}}
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run: |
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echo "seq_len=$MANUAL_MATRIX_SEQ_LEN" >> $GITHUB_ENV
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echo "model_name=$MANUAL_MATRIX_MODEL_NAME" >> $GITHUB_ENV
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echo "precision=$MANUAL_MATRIX_PRECISION" >> $GITHUB_ENV
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echo "language=$MANUAL_MATRIX_LANGUAGE" >> $GITHUB_ENV
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echo "runner=$MANUAL_LABELS" >> $GITHUB_ENV
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- name: set-matrix
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id: set-matrix
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run: |
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echo "seq_len=$seq_len" >> $GITHUB_OUTPUT
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echo "model_name=$model_name" >> $GITHUB_OUTPUT
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echo "precision=$precision" >> $GITHUB_OUTPUT
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echo "language=$language" >> $GITHUB_OUTPUT
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echo "runner=$runner" >> $GITHUB_OUTPUT
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llm-ppl-evalution:
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timeout-minutes: 1000
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needs: [llm-cpp-build, set-matrix]
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strategy:
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fail-fast: false
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matrix:
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# include:
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# python-version: "3.9"
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# model_name: "stablelm-3b-4e1t"
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# task: "arc"
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# precision: "sym_int4" #options: sym_int4, fp4, mixed_fp4, sym_int8, fp8, mixed_fp8
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python-version: ["3.9"]
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model_name: ${{ fromJson(needs.set-matrix.outputs.model_name) }}
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language: ${{ fromJson(needs.set-matrix.outputs.language) }}
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precision: ${{ fromJson(needs.set-matrix.outputs.precision) }}
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seq_len: ${{ fromJson(needs.set-matrix.outputs.seq_len) }}
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device: [xpu]
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include:
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- python-version: "3.9"
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model_name: "chatglm2-6b"
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language: "zh"
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precision: "sym_int4 fp8"
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seq_len: "512"
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device: "xpu"
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- python-version: "3.9"
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model_name: "chatglm3-6b"
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language: "zh"
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precision: "sym_int4 fp8"
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seq_len: "512"
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device: "xpu"
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- python-version: "3.9"
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model_name: "Baichuan2-7B-Chat"
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language: "zh"
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precision: "sym_int4 fp8"
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seq_len: "512"
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device: "xpu"
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runs-on: ${{ fromJson(needs.set-matrix.outputs.runner) }}
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env:
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ANALYTICS_ZOO_ROOT: ${{ github.workspace }}
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ORIGIN_DIR: /mnt/disk1/models
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DATASET_DIR: /mnt/disk1/datasets/THUDM___long_bench/
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steps:
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- uses: actions/checkout@v3
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v4
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install dependencies
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shell: bash
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run: |
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python -m pip install --upgrade pip
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python -m pip install --upgrade setuptools==58.0.4
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python -m pip install --upgrade wheel
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- name: Download llm binary
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uses: ./.github/actions/llm/download-llm-binary
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- name: Run LLM install (all) test
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uses: ./.github/actions/llm/setup-llm-env
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with:
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extra-dependency: "xpu_2.1"
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- name: Download models
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shell: bash
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run: |
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echo "MODEL_PATH=${ORIGIN_DIR}/${{ matrix.model_name }}/" >> "$GITHUB_ENV"
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MODEL_PATH=${ORIGIN_DIR}/${{ matrix.model_name }}/
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wget -r -nH -nc --no-verbose --cut-dirs=1 ${LLM_FTP_URL}/llm/${{ matrix.model_name }} -P ${ORIGIN_DIR}
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- name: Upgrade packages
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shell: bash
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run: |
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pip install --upgrade datasets==2.14.6
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if [ "${{ matrix.model_name }}" = "Mistral-7B-v0.1" ]; then
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pip install --upgrade transformers==4.36
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else
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pip install --upgrade transformers==4.31
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fi
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- name: Run perplexity
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shell: bash
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working-directory: ${{ github.workspace }}/python/llm/dev/benchmark/perplexity
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env:
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USE_XETLA: OFF
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SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS: 1
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run: |
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source /opt/intel/oneapi/setvars.sh
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python run.py \
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--seq_len ${{ matrix.seq_len }} \
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--model_path ${MODEL_PATH} \
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--precisions ${{ matrix.precision }} \
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--device ${{ matrix.device }} \
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--dataset_path ${DATASET_DIR} \
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--language ${{ matrix.language }}
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