use already extracted model data #3

	# 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: Test for MLPerf inference resnet50 submission generation using CM script automation

	on:
	pull_request:
	branches: [ "master", "dev" ]
	paths:
	- vision/classification_and_detection/**
	- tools/submission/**
	- .github/workflows/test-resnet50.yml
	- '!**.md'

	jobs:
	build:

	runs-on: ubuntu-latest
	strategy:
	fail-fast: false
	matrix:
	python-version: [ "3.9" ]
	backend: [ "onnxruntime", "tf" ]

	steps:
	- uses: actions/checkout@v3
	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v3
	with:
	python-version: ${{ matrix.python-version }}
	- name: Install dependencies
	run: \|
	python3 -m pip install cm4mlops
	- name: Test Resnet50 and end to end submission generation
	run: \|
	cm run script --tags=run,mlperf,inference,generate-run-cmds,_submission,_short --quiet --submitter="MLCommons" --hw_name=default --model=resnet50 --implementation=reference --backend=${{ matrix.backend }} --device=cpu --scenario=Offline --test_query_count=500 --adr.compiler.tags=gcc --adr.inference-src.tags=_branch.${{ github.event.pull_request.head.ref }},_repo.${{ github.event.pull_request.head.repo.html_url }} --adr.inference-src.version=custom

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