add cache #4

	name: DVC & train-my-model (cache)
	on: [push]
	jobs:
	run:
	runs-on: [ubuntu-latest]
	strategy:
	matrix:
	os: [ubuntu-latest]
	python-version: ["3.11"]
	pytorch-version: ["1.12.0"]
	steps:
	- uses: actions/checkout@v2
	- uses: iterative/setup-cml@v1

	- name: Get pip cache dir
	id: pip-cache
	run: \|
	echo "::set-output name=dir::$(pip cache dir)"

	- name: Cache dependencies
	uses: actions/cache@v3
	with:
	path: ${{ steps.pip-cache.outputs.dir }}
	key: ${{ matrix.os }}-py${{ matrix.python-version }}-pt${{ matrix.pytorch-version }}-pip-${{ hashFiles('**/requirements.txt') }}
	restore-keys: \|
	${{ matrix.os }}-py${{ matrix.python-version }}-pt${{ matrix.pytorch-version }}-pip-

	- name: Install dependencies
	run: \|
	python -m pip install --upgrade pip
	pip install -r requirements.txt
	pip install -r requirements_tests.txt

	- uses: iterative/setup-dvc@v1
	- name: Get data
	run: dvc pull
	env:
	GDRIVE_CREDENTIALS_DATA: ${{ secrets.GDRIVE_CREDENTIALS_DATA }}

	- name: Train model
	run: \|
	python cnn_mnist/train_cml.py # run training

	- name: Write report
	env:
	# this authenticates that the right permissions are in place
	REPO_TOKEN: ${{ secrets.GITHUB_TOKEN }}
	run: \|
	# send all information to report.md that will be reported to us when the workflow finish
	cat classification_report.txt >> report.md
	cml-publish confusion_matrix.png --md >> report.md
	cml-send-comment report.md

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