adding support for raw ONNX models #2

	name: Run Torch Tests

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

	jobs:
	test_core:
	runs-on: ubuntu-latest

	steps:
	- uses: actions/checkout@v3
	with:
	fetch-depth: 0

	- name: Set up Rust
	uses: actions-rs/toolchain@v1
	with:
	profile: minimal
	toolchain: stable
	override: true

	- name: Set up Python
	uses: actions/setup-python@v2
	with:
	python-version: '3.11'

	- name: Pre-test Setup
	run: \|
	python3 -m venv venv
	source venv/bin/activate
	pip install --upgrade pip
	pip install -r requirements.txt

	# build the local version of the core module to be loaded into python
	echo "Building local version of core module"

	pip install .
	export PYTHONPATH="."

	python ./tests/scripts/ci_local_build.py
	echo "Local build complete"

	# train the models for the tests
	python ./tests/model_builder/torch_assets.py
	deactivate

	- name: Run Python Unit Tests
	run: \|
	source venv/bin/activate
	export PYTHONPATH="."
	python tests/unit_tests/engine/test_torch.py
	python tests/unit_tests/test_rust_adapter.py
	python tests/unit_tests/engine/test_surml_file.py
	deactivate

	- name: Run Core Unit Tests
	run: cd modules/core && cargo test --features torch-tests

	- name: Run HTTP Transfer Tests
	run: cargo test

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