Use CM cache for mlperf inference submission generation #468

	# This workflow will add/update the default dockerfile for any updated CM scripts
	name: Dockerfile update for CM scripts

	on:
	push:
	branches: [ "master", "dev" ]
	paths:
	- 'cm-mlops/script/**_cm.json'

	jobs:
	dockerfile:
	if: github.repository == 'mlcommons/ck'
	runs-on: ubuntu-latest
	steps:
	- name: 'Checkout'
	uses: actions/checkout@v3
	with:
	fetch-depth: 0
	- name: Get changed files
	id: getfile
	run: \|
	echo "files=$(git diff --name-only ${{ github.event.before }} \| xargs)" >> $GITHUB_OUTPUT
	- name: Update dockerfile
	run: \|
	for file in ${{ steps.getfile.outputs.files }}; do
	echo $file
	done
	python3 -m pip install cmind
	cm pull repo --url=https://github.com/${{ github.repository }} --checkout=${{ github.ref_name }}
	python3 tests/script/process_dockerfile.py ${{ steps.getfile.outputs.files }}

	FOLDER=`cm find repo mlcommons@ck \| cut -d' ' -f3`

	USER=cTuning
	EMAIL=admin@ctuning.org

	git config --global user.name "$USER"
	git config --global user.email "$EMAIL"
	git remote set-url origin https://x-access-token:${{ secrets.ACCESS_TOKEN }}@github.com/${{ github.repository }}
	git add *.Dockerfile
	git diff-index --quiet HEAD \|\| (git commit -am "Updated dockerfile" && git push)

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