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llm-c-evaluation.yml
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name: LLM C-Eval
# 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
# Controls when the action will run.
on:
schedule:
- cron: "00 15 * * *" # GMT time, 15:00 GMT == 23:00 Beijing Time
pull_request:
branches: [main]
paths:
- ".github/workflows/llm-ceval.yml"
# Allows you to run this workflow manually from the Actions tab
workflow_dispatch:
inputs:
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
jobs:
llm-cpp-build:
uses: ./.github/workflows/llm-binary-build.yml
with:
platform: 'Linux'
# Set the testing matrix based on the event (schedule, PR, or manual dispatch)
set-matrix:
runs-on: ubuntu-latest
outputs:
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: ${{github.event_name == 'schedule'}}
env:
NIGHTLY_MATRIX_MODEL_NAME: '["chatglm2-6b","chinese-llama2-7b", "Qwen-7B-Chat"]'
NIGHTLY_MATRIX_PRECISION: '["sym_int4", "fp8_e5m2"]'
NIGHTLY_LABELS: '["self-hosted", "llm", "accuracy-nightly"]'
run: |
echo "model_name=$NIGHTLY_MATRIX_MODEL_NAME" >> $GITHUB_ENV
echo "precision=$NIGHTLY_MATRIX_PRECISION" >> $GITHUB_ENV
echo "runner=$NIGHTLY_LABELS" >> $GITHUB_ENV
- name: set-pr-env
if: ${{github.event_name == 'pull_request'}}
env:
PR_MATRIX_MODEL_NAME: '["Qwen-7B-Chat"]'
PR_MATRIX_PRECISION: '["sym_int4", "fp8_e5m2"]'
PR_LABELS: '["self-hosted", "llm", "temp-arc01"]'
run: |
echo "model_name=$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_MODEL_NAME: ${{format('[ {0} ]', inputs.model_name)}}
MANUAL_MATRIX_PRECISION: ${{format('[ {0} ]', inputs.precision)}}
MANUAL_LABELS: ${{format('["self-hosted", "llm", {0}]', inputs.runs-on)}}
run: |
echo "model_name=$MANUAL_MATRIX_MODEL_NAME" >> $GITHUB_ENV
echo "precision=$MANUAL_MATRIX_PRECISION" >> $GITHUB_ENV
echo "runner=$MANUAL_LABELS" >> $GITHUB_ENV
- name: set-matrix
id: set-matrix
run: |
echo "model_name=$model_name" >> $GITHUB_OUTPUT
echo "precision=$precision" >> $GITHUB_OUTPUT
echo "runner=$runner" >> $GITHUB_OUTPUT
llm-ceval-evaluation:
timeout-minutes: 1200
needs: [llm-cpp-build, 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) }}
device: [xpu]
runs-on: ${{ fromJson(needs.set-matrix.outputs.runner) }}
env:
ANALYTICS_ZOO_ROOT: ${{ github.workspace }}
ORIGIN_DIR: /mnt/disk1/models
CEVAL_HF_HOME: /mnt/disk1/ceval_home
steps:
- uses: actions/checkout@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
shell: bash
run: |
python -m pip install --upgrade pip
python -m pip install --upgrade setuptools==58.0.4
python -m pip install --upgrade wheel
- name: Download llm binary
uses: ./.github/actions/llm/download-llm-binary
with:
platform: 'Linux'
- name: Run LLM install (all) test
uses: ./.github/actions/llm/setup-llm-env
with:
extra-dependency: "xpu_2.1"
- name: Download models and datasets
shell: bash
run: |
echo "MODEL_PATH=${ORIGIN_DIR}/${{ matrix.model_name }}/" >> "$GITHUB_ENV"
MODEL_PATH=${ORIGIN_DIR}/${{ matrix.model_name }}/
if [ ! -d $CEVAL_HF_HOME ]; then
mkdir -p $CEVAL_HF_HOME
fi
if [ ! -d "$CEVAL_HF_HOME/data" ]; then
mkdir -p "$CEVAL_HF_HOME/data"
fi
if [ -d "$CEVAL_HF_HOME/data/dev" ]; then
rm -rf "$CEVAL_HF_HOME/data/dev"
fi
if [ -d "$CEVAL_HF_HOME/data/test" ]; then
rm -rf "$CEVAL_HF_HOME/data/test"
fi
if [ -d "$CEVAL_HF_HOME/data/val" ]; then
rm -rf "$CEVAL_HF_HOME/data/val"
fi
wget -r -nH -nc --no-verbose --cut-dirs=1 ${LLM_FTP_URL}/llm/ceval-exam.zip -P "$CEVAL_HF_HOME/data"
echo "DATA_PATH=$CEVAL_HF_HOME/data" >> "$GITHUB_ENV"
DATA_PATH=$CEVAL_HF_HOME/data
unzip -o "$CEVAL_HF_HOME/data/ceval-exam.zip" -d "$CEVAL_HF_HOME/data"
wget -r -nH -nc --no-verbose --cut-dirs=1 ${LLM_FTP_URL}/llm/${{ matrix.model_name }} -P ${ORIGIN_DIR}
- name: Install Dependencies
shell: bash
run: |
pip install einops
pip install thefuzz
pip install tiktoken
pip install transformers==4.31.0
pip install transformers_stream_generator
- name: Run C-Eval
shell: bash
working-directory: ${{ github.workspace }}/python/llm/dev/benchmark/ceval
env:
USE_XETLA: OFF
SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS: 1
run: |
source /opt/intel/oneapi/setvars.sh
python eval.py \
--model_path ${MODEL_PATH} \
--eval_type validation \
--device xpu \
--eval_data_path ${DATA_PATH} \
--qtype ${{ matrix.precision }}
- uses: actions/upload-artifact@v3
with:
name: ceval_results
path:
${{ github.workspace }}/python/llm/dev/benchmark/ceval/results/**
llm-ceval-summary:
if: ${{ always() }}
needs: llm-ceval-evaluation
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Set up Python 3.9
uses: actions/setup-python@v4
with:
python-version: 3.9
- name: Download all results
uses: actions/download-artifact@v3
with:
name: ceval_results
path: results
- name: Summarize the results
shell: bash
run: |
ls results
python ${{ github.workspace }}/python/llm/dev/benchmark/ceval/organize_results.py results/