Refactor linear dispatch to use new torch kernels #108

	name: Python examples (CPU)

	on:
	push:
	branches:
	- main
	paths:
	- "optimum/quanto/**"
	- "examples/**"
	- "pyproject.toml"
	pull_request:
	types: [assigned, opened, synchronize, reopened]
	paths:
	- "optimum/quanto/**"
	- "examples/**"
	- "pyproject.toml"

	jobs:
	conventional-commits:
	uses: ./.github/workflows/conventional-commits.yml
	python-quality:
	uses: ./.github/workflows/python-quality.yml
	run-examples:
	needs: [conventional-commits, python-quality]
	runs-on: ubuntu-latest
	strategy:
	fail-fast: false
	matrix:
	python-version: ["3.11"]

	steps:
	- uses: actions/checkout@v2
	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v2
	with:
	python-version: ${{ matrix.python-version }}

	# Install dependencies
	- name: Configure and install dependencies
	run: \|
	pip install --upgrade pip
	pip install .[examples]

	# Run examples
	- name: Run MNIST examples
	run: \|
	for w in int4 int8 float8; do \
	for a in none int8 float8; do \
	python examples/vision/image-classification/mnist/quantize_mnist_model.py \
	--weights $w --activations $a; \
	done; \
	done
	- name: Run OWL detection examples
	run: \|
	for w in int4 int8 float8; do \
	python examples/vision/object-detection/quantize_owl_model.py \
	--image http://images.cocodataset.org/val2017/000000039769.jpg \
	--texts "a photo of a cat" "a remote" \
	--weights $w; \
	done
	- name: Run text-classification examples
	run: \|
	for w in int4 int8; do \
	for a in none int8; do \
	python examples/nlp/text-classification/sst2/quantize_sst2_model.py \
	--weights $w --activations $a; \
	done; \
	done

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