added custom functional layer for basic tensorflow functional layers … #65

	name: pytests_tf_latest

	on:
	pull_request:
	types: [opened, edited, synchronize]

	jobs:
	build:
	runs-on: ${{ matrix.os }}
	strategy:
	fail-fast: false
	matrix:
	os: [ubuntu-latest, macos-latest, windows-latest]
	python-version: ['3.10']
	include:
	- os: ubuntu-latest
	python-version: 3.11
	- os: ubuntu-latest
	python-version: 3.10
	- os: ubuntu-latest
	python-version: 3.9
	- os: ubuntu-latest
	python-version: 3.8
	steps:
	- uses: actions/checkout@v2
	with:
	ref: ${{ github.event.pull_request.head.ref }}
	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v2
	with:
	python-version: ${{ matrix.python-version }}
	- name: Install dependencies
	run: \|
	python -m pip install --upgrade pip
	python -m pip install pytest
	python -m pip install pytest-cov
	python -m pip install .
	- name: Run pytest and Generate coverage report
	run: \|
	python -m pytest -v --cov=./ --cov-report=xml:coverage.xml
	- name: Upload coverage to Codecov
	uses: codecov/codecov-action@v1
	with:
	token: ${{ secrets.CODECOV_TOKEN }}
	file: ./coverage.xml
	flags: unittests
	env_vars: OS,PYTHON
	name: codecov-umbrella
	fail_ci_if_error: false
	verbose: true

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