Add ONNX export support for DinoV2, Hiera, Maskformer, PVT, SigLIP, SwinV2, VitMAE, and VitMSN models #930

	name: Offline usage / Python - Test

	on:
	push:
	branches: [main]
	pull_request:
	branches: [main]

	concurrency:
	group: ${{ github.workflow }}-${{ github.head_ref \|\| github.run_id }}
	cancel-in-progress: true

	jobs:
	build:
	strategy:
	fail-fast: false
	matrix:
	python-version: ['3.9']

	runs-on: ubuntu-20.04
	steps:
	- name: Checkout code
	uses: actions/checkout@v4

	- name: Setup Python ${{ matrix.python-version }}
	uses: actions/setup-python@v5
	with:
	python-version: ${{ matrix.python-version }}

	- name: Install dependencies for pytorch export
	run: \|
	pip install .[tests,exporters,onnxruntime]

	- name: Test with pytest
	run: \|
	HF_HOME=/tmp/ huggingface-cli download hf-internal-testing/tiny-random-gpt2

	HF_HOME=/tmp/ HF_HUB_OFFLINE=1 optimum-cli export onnx --model hf-internal-testing/tiny-random-gpt2 gpt2_onnx --task text-generation

	huggingface-cli download hf-internal-testing/tiny-random-gpt2

	HF_HUB_OFFLINE=1 optimum-cli export onnx --model hf-internal-testing/tiny-random-gpt2 gpt2_onnx --task text-generation

	pytest tests/onnxruntime/test_modeling.py -k "test_load_model_from_hub and not from_hub_onnx" -s -vvvvv

	HF_HUB_OFFLINE=1 pytest tests/onnxruntime/test_modeling.py -k "test_load_model_from_hub and not from_hub_onnx" -s -vvvvv

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