add adversarial training #126

	name: run test

	on:
	push:
	branches: [ master ]
	pull_request:
	branches: [ master ]

	jobs:
	build:
	runs-on: ubuntu-latest
	strategy:
	fail-fast: false
	matrix:
	python-version: ["3.8"]
	steps:
	- uses: actions/checkout@v3
	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v4
	with:
	python-version: ${{ matrix.python-version }}
	cache: 'pip'
	cache-dependency-path: 'requirements/dev.txt'
	- name: Install dependencies
	run: \|
	pip install -e .
	pip install -r requirements/dev.txt
	- name: Lint with flake8
	run: \|
	flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
	flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
	- name: Test with black
	run: black --check -v .
	- name: Test with pytest
	run: pytest --cov-report xml --cov=pytorch_tao
	- name: Run mnist example
	run: \|
	cd examples/mnist && tao init && tao run main.py --max_epochs 2
	- name: Report coverage
	uses: codecov/[email protected]
	with:
	files: coverage.xml

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