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improving CM automation recipes for CUDA and improving docs #985

improving CM automation recipes for CUDA and improving docs

improving CM automation recipes for CUDA and improving docs #985

# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
name: MLPerf inference bert
on:
pull_request:
branches: [ "master", "dev" ]
paths:
- '.github/workflows/test-mlperf-inference-bert.yml'
- 'cm-mlops/**'
- '!cm-mlops/**.md'
jobs:
build:
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
python-version: [ "3.9" ]
backend: [ "deepsparse", "tf", "onnxruntime", "pytorch" ]
precision: [ "int8", "fp32" ]
exclude:
- backend: tf
- backend: pytorch
- backend: onnxruntime
- precision: fp32
steps:
- uses: actions/checkout@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v3
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
run: |
python3 -m pip install cmind
cm pull repo --url=${{ github.event.pull_request.head.repo.html_url }} --checkout=${{ github.event.pull_request.head.ref }}
cm run script --quiet --tags=get,sys-utils-cm
- name: Test MLPerf Inference Bert
run: |
cm run script --tags=run,mlperf,inference,generate-run-cmds,_submission,_short --submitter="cTuning" --model=bert-99 --backend=${{ matrix.backend }} --device=cpu --scenario=Offline --test_query_count=5 --precision=${{ matrix.precision }} --target_qps=1 -v --quiet