Separate workflows and add quality check workflow #8

	name: OnnxRuntime CUDA Inference Tests

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

	concurrency:
	group: ${{ github.workflow }}-${{ github.event.pull_request.number \|\| github.ref }}
	cancel-in-progress: true

	jobs:
	build-and-test:
	runs-on: self-hosted
	steps:
	- name: Restore files ownership
	run: docker run
	--rm
	--entrypoint /bin/bash
	--env HOST_UID=`id -u`
	--env HOST_GID=`id -g`
	--volume $(pwd):/workspace/optimum-benchmark
	--workdir /workspace/optimum-benchmark
	ubuntu
	-c 'chown -R ${HOST_UID}:${HOST_GID} /workspace/optimum-benchmark'

	- name: Checkout
	uses: actions/checkout@v2

	- name: Run tests
	run: docker run
	--rm
	--entrypoint /bin/bash
	--gpus '"device=0,1"'
	--volume $(pwd):/workspace/optimum-benchmark
	--workdir /workspace/optimum-benchmark
	optimum-benchmark-gpu
	-c "pip install -e .[test,diffusers] && pytest -k '(cuda or tensorrt) and onnxruntime and not training' -x"

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