use torch to compute discrepancies in OnnxDiscrepancyCheck (#2540) #352

	# This job is run as a github action.
	# It checks Olive works on random and small models.
	name: Test model fast

	on:
	workflow_dispatch:
	push:
	branches:
	- main
	pull_request:
	branches:
	- main

	jobs:
	ubuntu-test-model-fast:
	name: Ubuntu test model fast
	runs-on: ubuntu-latest
	permissions:
	contents: read
	steps:
	- uses: actions/checkout@v4

	- name: Setup Python
	uses: actions/setup-python@v5
	with:
	python-version: "3.12"

	- name: Install dependencies
	run: \|
	python -m pip install -r requirements.txt
	python -m pip install -r test/requirements-test-cpu.txt

	- name: pip freeze
	run: \|
	python -m pip freeze

	- name: Run fast test
	run: \|
	python -m pytest -v -s -p no:warnings --disable-warnings --log-cli-level=WARNING test/cli/test_cli_test_model_smoke.py test/cli/test_cli_whisper_smoke.py

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