207 lines
No EOL
7.9 KiB
YAML
207 lines
No EOL
7.9 KiB
YAML
name: LLM Whisper Models 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 13 * * *" # GMT time, 13:00 GMT == 21:00 China
|
|
pull_request:
|
|
branches: [main]
|
|
paths:
|
|
- ".github/workflows/llm-whisper-evaluation.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
|
|
task:
|
|
description: 'Tasks, 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: # please uncomment it for PR tests
|
|
uses: ./.github/workflows/llm-binary-build.yml
|
|
|
|
# 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 }}
|
|
task: ${{ steps.set-matrix.outputs.task }}
|
|
runner: ${{ steps.set-matrix.outputs.runner }}
|
|
|
|
steps:
|
|
- name: set-env
|
|
env:
|
|
MATRIX_MODEL_NAME: '["whisper-tiny", "whisper-small", "whisper-medium", "whisper-base"]'
|
|
MATRIX_TASK: '["librispeech"]'
|
|
MATRIX_PRECISION: '["sym_int4", "fp8_e5m2"]'
|
|
LABELS: '["self-hosted", "llm", "perf"]'
|
|
run: |
|
|
echo "model_name=$MATRIX_MODEL_NAME" >> $GITHUB_ENV
|
|
echo "task=$MATRIX_TASK" >> $GITHUB_ENV
|
|
echo "precision=$MATRIX_PRECISION" >> $GITHUB_ENV
|
|
echo "runner=$LABELS" >> $GITHUB_ENV
|
|
|
|
- name: set-matrix
|
|
id: set-matrix
|
|
run: |
|
|
echo "model_name=$model_name" >> $GITHUB_OUTPUT
|
|
echo "task=$task" >> $GITHUB_OUTPUT
|
|
echo "precision=$precision" >> $GITHUB_OUTPUT
|
|
echo "runner=$runner" >> $GITHUB_OUTPUT
|
|
|
|
llm-whisper-evaluation:
|
|
# if: ${{ github.event.schedule || github.event.inputs.artifact == 'llm-whisper-evaluation' || github.event.inputs.artifact == 'all' }} # please comment it for PR tests
|
|
needs: [llm-cpp-build, set-matrix] # please uncomment it for PR tests
|
|
# needs: [set-matrix] # please comment it for PR tests
|
|
strategy:
|
|
fail-fast: false
|
|
matrix:
|
|
python-version: ["3.11"]
|
|
model_name: ${{ fromJson(needs.set-matrix.outputs.model_name) }}
|
|
task: ${{ fromJson(needs.set-matrix.outputs.task) }}
|
|
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
|
|
|
|
steps:
|
|
- uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # actions/checkout@v3
|
|
|
|
- name: Set up Python ${{ matrix.python-version }}
|
|
uses: actions/setup-python@v4
|
|
with:
|
|
python-version: ${{ matrix.python-version }}
|
|
|
|
- name: Install dependencies
|
|
shell: bash
|
|
run: |
|
|
python -m pip install --upgrade pip
|
|
python -m pip install --upgrade wheel
|
|
python -m pip install --upgrade pandas
|
|
python -m pip install --upgrade datasets
|
|
python -m pip install --upgrade evaluate
|
|
python -m pip install --upgrade soundfile
|
|
python -m pip install --upgrade librosa
|
|
python -m pip install --upgrade jiwer
|
|
|
|
# please uncomment it and comment the "Install IPEX-LLM from Pypi" part for PR tests
|
|
- name: Download llm binary
|
|
uses: ./.github/actions/llm/download-llm-binary
|
|
|
|
- name: Run LLM install (all) test
|
|
uses: ./.github/actions/llm/setup-llm-env
|
|
with:
|
|
extra-dependency: "xpu_2.1"
|
|
|
|
# - name: Install IPEX-LLM from Pypi
|
|
# shell: bash
|
|
# run: |
|
|
# pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
|
|
|
|
# - name: Test installed xpu version
|
|
# shell: bash
|
|
# run: |
|
|
# source /opt/intel/oneapi/setvars.sh
|
|
# bash python/llm/test/run-llm-install-tests.sh
|
|
|
|
- name: Run whisper evaluation
|
|
shell: bash
|
|
run: |
|
|
|
|
source /opt/intel/oneapi/setvars.sh
|
|
export USE_XETLA=OFF
|
|
export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
|
|
|
|
echo "MODEL_PATH=${ORIGIN_DIR}/${{ matrix.model_name }}/" >> "$GITHUB_ENV"
|
|
MODEL_PATH=${ORIGIN_DIR}/${{ matrix.model_name }}/
|
|
export LIBRISPEECH_DATASET_PATH=/mnt/disk1/datasets/librispeech
|
|
|
|
cd python/llm/dev/benchmark/whisper
|
|
python run_whisper.py --model_path ${MODEL_PATH} --data_type other --device xpu --load_in_low_bit ${{ matrix.precision }} --save_result
|
|
|
|
- uses: actions/upload-artifact@v3
|
|
with:
|
|
name: whisper_results
|
|
path:
|
|
${{ github.workspace }}/python/llm/dev/benchmark/whisper/results/**
|
|
|
|
llm-whisper-summary:
|
|
if: ${{github.event_name == 'schedule' || github.event_name == 'pull_request'}}
|
|
needs: [set-matrix, llm-whisper-evaluation]
|
|
runs-on: ["self-hosted", "llm", "perf"]
|
|
steps:
|
|
- uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # actions/checkout@v3
|
|
- name: Set up Python 3.11
|
|
uses: actions/setup-python@v4
|
|
with:
|
|
python-version: 3.11
|
|
|
|
- name: Set output path
|
|
shell: bash
|
|
run: |
|
|
DATE=$(date +%Y-%m-%d)
|
|
OUTPUT_PATH="results_$DATE"
|
|
echo "OUTPUT_PATH=$OUTPUT_PATH" >> $GITHUB_ENV
|
|
NIGHTLY_FOLDER="/mnt/disk1/whisper_nightly_gpu"
|
|
echo "NIGHTLY_FOLDER=$NIGHTLY_FOLDER" >> $GITHUB_ENV
|
|
PR_FOLDER="/mnt/disk1/whisper_pr_gpu"
|
|
echo "PR_FOLDER=$PR_FOLDER" >> $GITHUB_ENV
|
|
|
|
- name: Download all results for nightly run
|
|
if: github.event_name == 'schedule'
|
|
uses: actions/download-artifact@v3
|
|
with:
|
|
name: whisper_results
|
|
path: ${{ env.NIGHTLY_FOLDER}}/${{ env.OUTPUT_PATH }}
|
|
|
|
- name: Download all results for pr run
|
|
if: github.event_name == 'pull_request'
|
|
uses: actions/download-artifact@v3
|
|
with:
|
|
name: whisper_results
|
|
path: ${{ env.PR_FOLDER}}/${{ env.OUTPUT_PATH }}
|
|
|
|
- name: Summarize the results for nightly run
|
|
if: github.event_name == 'schedule'
|
|
shell: bash
|
|
run: |
|
|
cp -r /mnt/disk1/datasets/whisper_fp16_results/* /mnt/disk1/whisper_nightly_gpu/${{ env.OUTPUT_PATH }}
|
|
pip install pandas==1.5.3
|
|
python ${{ github.workspace }}/python/llm/dev/benchmark/whisper/whisper_concat_csv.py -i ${{ env.NIGHTLY_FOLDER}}/${{ env.OUTPUT_PATH }} -o ${{ env.NIGHTLY_FOLDER}}
|
|
python ${{ github.workspace }}/python/llm/dev/benchmark/whisper/whisper_csv_to_html.py -f ${{ env.NIGHTLY_FOLDER}}
|
|
|
|
- name: Summarize the results for pull request
|
|
if: github.event_name == 'pull_request'
|
|
shell: bash
|
|
run: |
|
|
cp -r /mnt/disk1/datasets/whisper_fp16_results/* /mnt/disk1/whisper_pr_gpu/${{ env.OUTPUT_PATH }}
|
|
pip install pandas==1.5.3
|
|
python ${{ github.workspace }}/python/llm/dev/benchmark/whisper/whisper_concat_csv.py -i ${{ env.PR_FOLDER}}/${{ env.OUTPUT_PATH }} -o ${{ env.PR_FOLDER}}
|
|
python ${{ github.workspace }}/python/llm/dev/benchmark/whisper/whisper_csv_to_html.py -f ${{ env.PR_FOLDER}} |