LLM Perplexity Evaluation #9
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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 | |
with: | |
platform: 'Linux' | |
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: ${{github.event_name == 'pull_request'}} | |
env: | |
PR_MATRIX_SEQ_LEN: '["512"]' | |
PR_MATRIX_MODEL_NAME: '["Llama-2-7b-chat-hf", "chatglm3-6b"]' | |
PR_MATRIX_PRECISION: '["sym_int4"]' | |
PR_LABELS: '["self-hosted", "llm", "temp-arc01"]' | |
run: | | |
echo "seq_len=$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: [llm-cpp-build, set-matrix] | |
strategy: | |
fail-fast: false | |
matrix: | |
python-version: ["3.11"] | |
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: | |
- uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # actions/checkout@v3 | |
- name: Set up Python ${{ matrix.python-version }} | |
uses: actions/setup-python@v4 | |
with: | |
python-version: ${{ matrix.python-version }} | |
- name: Install dependencies | |
shell: bash | |
run: | | |
python -m pip install --upgrade pip | |
python -m pip install --upgrade setuptools==58.0.4 | |
python -m pip install --upgrade wheel | |
- name: Download llm binary | |
uses: ./.github/actions/llm/download-llm-binary | |
with: | |
platform: 'Linux' | |
- name: Run LLM install (all) test | |
uses: ./.github/actions/llm/setup-llm-env | |
with: | |
extra-dependency: "xpu_2.1" | |
- name: Download models | |
shell: bash | |
run: | | |
echo "MODEL_PATH=${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 | |
- 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 3.11 | |
uses: actions/setup-python@v4 | |
with: | |
python-version: 3.11 | |
- 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.py results | |
llm-ppl-html: | |
if: ${{github.event_name == 'schedule' || github.event_name == 'pull_request'}} | |
needs: [llm-ppl-evaluation] | |
runs-on: ["self-hosted", "llm", "accuracy1", "accuracy-nightly"] | |
steps: | |
- uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # actions/checkout@v3 | |
- name: Set up Python 3.11 | |
uses: actions/setup-python@v4 | |
with: | |
python-version: 3.11 | |
- name: Install dependencies | |
shell: bash | |
run: | | |
pip install --upgrade pip | |
pip install jsonlines pytablewriter regex | |
pip install pandas==1.5.3 | |
- name: Set output path | |
shell: bash | |
run: | | |
echo "DATE=$(date +%Y-%m-%d)" >> $GITHUB_ENV | |
if ${{github.event_name == 'pull_request'}}; then | |
echo 'ACC_FOLDER=/home/arda/action-runners/ppl/pr-accuracy-data' >> $GITHUB_ENV | |
fi | |
if ${{github.event_name == 'schedule'}}; then | |
echo 'ACC_FOLDER=/home/arda/action-runners/ppl/nightly-accuracy-data' >> $GITHUB_ENV | |
fi | |
- name: Download ppl results | |
uses: actions/download-artifact@v3 | |
with: | |
name: ppl_results | |
path: ${{ env.ACC_FOLDER}}/${{ env.DATE }} | |
# Save fp16.csv in the parent folder of env.nightly_folder | |
- name: Download fp16.results | |
shell: bash | |
run: | | |
wget https://raw.githubusercontent.com/intel-analytics/ipex-llm/main/python/llm/test/benchmark/perplexity/fp16.csv -O $ACC_FOLDER/../fp16.csv | |
ls $ACC_FOLDER/.. | |
- name: Write to CSV | |
working-directory: ${{ github.workspace }}/python/llm/dev/benchmark/perplexity | |
shell: bash | |
run: | | |
ls $ACC_FOLDER/$DATE | |
python make_csv.py $ACC_FOLDER/$DATE $ACC_FOLDER | |
- name: Update HTML | |
working-directory: ${{ github.workspace }}/python/llm/test/benchmark/perplexity | |
shell: bash | |
run: | | |
python ppl_csv_to_html.py -f $ACC_FOLDER | |
if ${{github.event_name == 'schedule'}}; then | |
python ../harness/update_html_in_parent_folder.py -f $ACC_FOLDER | |
fi |