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Add llm-ppl workflow #16

Add llm-ppl workflow

Add llm-ppl workflow #16

name: LLM Perplexity Evalution
# 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 14 * * *" # GMT time, 14:00 GMT == 22:00 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'
required: true
type: number
model_name:
description: 'Model names, seperated by comma and must be quoted.'
required: true
type: string
precision:
description: 'Precisions, seperated by comma and must be quoted.'
required: true
type: string
language:
description: 'language, can be en, zh, or all'
required: true
type: choice
options:
- en
- zh
- all
runs-on:
description: 'Labels to filter the runners, seperated 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 }}
language: ${{ steps.set-matrix.outputs.language }}
runner: ${{ steps.set-matrix.outputs.runner }}
steps:
- name: set-nightly-env
if: ${{github.event_name == 'schedule'}}
env:
NIGHTLY_MATRIX_SEQ_LEN: '["512"]'
NIGHTLY_MATRIX_MODEL_NAME: '["Llama-2-7b-chat-hf", "mpt-7b-chat",
"falcon-7b-instruct-with-patch", "Mistral-7B-v0.1"]'
NIGHTLY_MATRIX_LANGUAGE: '["en"]'
NIGHTLY_MATRIX_PRECISION: '["sym_int4 fp8"]'
NIGHTLY_LABELS: '["self-hosted", "llm", "accuracy-nightly"]'
run: |
echo "seq_len=$NIGHTLY_MATRIX_SEQ_LEN" >> $GITHUB_ENV
echo "model_name=$NIGHTLY_MATRIX_MODEL_NAME" >> $GITHUB_ENV
echo "precision=$NIGHTLY_MATRIX_PRECISION" >> $GITHUB_ENV
echo "language=$NIGHTLY_MATRIX_LANGUAGE" >> $GITHUB_ENV
echo "runner=$NIGHTLY_LABELS" >> $GITHUB_ENV
- name: set-pr-env
if: ${{github.event_name == 'pull_request'}}
env:
PR_MATRIX_SEQ_LEN: '["512"]'
PR_MATRIX_MODEL_NAME: '["Llama-2-7b-chat-hf"]'
PR_MATRIX_LANGUAGE: '["en"]'
PR_MATRIX_PRECISION: '["sym_int4"]'
PR_LABELS: '["self-hosted", "llm", "temp-arc01"]'
run: |
echo "seq_len=$PR_MATRIX_SEQ_LEN" >> $GITHUB_ENV
echo "model_name=$PR_MATRIX_MODEL_NAME" >> $GITHUB_ENV
echo "precision=$PR_MATRIX_PRECISION" >> $GITHUB_ENV
echo "language=$PR_MATRIX_LANGUAGE" >> $GITHUB_ENV
echo "runner=$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_LANGUAGE: ${{format('[ {0} ]', inputs.language)}}
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" >> $GITHUB_ENV
echo "language=$MANUAL_MATRIX_LANGUAGE" >> $GITHUB_ENV
echo "runner=$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" >> $GITHUB_OUTPUT
echo "language=$language" >> $GITHUB_OUTPUT
echo "runner=$runner" >> $GITHUB_OUTPUT
llm-ppl-evalution:
timeout-minutes: 1000
needs: [llm-cpp-build, set-matrix]
strategy:
fail-fast: false
matrix:
# include:
# python-version: "3.9"
# model_name: "stablelm-3b-4e1t"
# task: "arc"
# precision: "sym_int4" #options: sym_int4, fp4, mixed_fp4, sym_int8, fp8, mixed_fp8
python-version: ["3.9"]
model_name: ${{ fromJson(needs.set-matrix.outputs.model_name) }}
language: ${{ fromJson(needs.set-matrix.outputs.language) }}
precision: ${{ fromJson(needs.set-matrix.outputs.precision) }}
seq_len: ${{ fromJson(needs.set-matrix.outputs.seq_len) }}
device: [xpu]
include:
- python-version: "3.9"
model_name: "chatglm2-6b"
language: "zh"
precision: "sym_int4 fp8"
seq_len: "512"
device: "xpu"
- python-version: "3.9"
model_name: "chatglm3-6b"
language: "zh"
precision: "sym_int4 fp8"
seq_len: "512"
device: "xpu"
- python-version: "3.9"
model_name: "Baichuan2-7B-Chat"
language: "zh"
precision: "sym_int4 fp8"
seq_len: "512"
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@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
shell: bash
run: |
python -m pip install --upgrade pip
python -m pip install --upgrade setuptools==58.0.4
python -m pip install --upgrade wheel
- name: Download llm binary
uses: ./.github/actions/llm/download-llm-binary
- name: Run LLM install (all) test
uses: ./.github/actions/llm/setup-llm-env
with:
extra-dependency: "xpu_2.1"
- name: Download models
shell: bash
run: |
echo "MODEL_PATH=${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
python run.py \
--seq_len ${{ matrix.seq_len }} \
--model_path ${MODEL_PATH} \
--precisions ${{ matrix.precision }} \
--device ${{ matrix.device }} \
--dataset_path ${DATASET_DIR} \
--language ${{ matrix.language }}