DLRM model checksum + corrected pre download clean #339

	# 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 (deepsparse, tf, onnxruntime, pytorch)

	on:
	pull_request:
	branches: [ "main", "dev", "mlperf-inference" ]
	paths:
	- '.github/workflows/test-mlperf-inference-bert-deepsparse-tf-onnxruntime-pytorch.yml'
	- '**'
	- '!**.md'

	jobs:
	build:

	runs-on: ubuntu-latest
	strategy:
	fail-fast: false
	matrix:
	# 3.12 didn't work on 20240305 - need to check
	python-version: [ "3.11" ]
	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=${{ github.event.pull_request.head.ref }}
	- name: Test MLPerf Inference Bert (DeepSparse, TF, ONNX, PyTorch)
	run: \|
	cm run script --tags=run,mlperf,inference,generate-run-cmds,_submission,_short --submitter="cTuning" --model=bert-99 --backend=${{ matrix.backend }} --device=cpu --scenario=Offline --test_query_count=5 --precision=${{ matrix.precision }} --target_qps=1 -v --quiet

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