Add ONNX support for InternLM2 #245

	name: Exporters TFLite CLI / Python - Test

	on:
	workflow_dispatch:
	push:
	branches: [main]
	pull_request:
	branches: [main]
	types: [opened, synchronize, reopened, labeled, unlabeled]

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

	env:
	TRANSFORMERS_IS_CI: true

	jobs:
	build:
	if: ${{
	(github.event_name == 'push') \|\|
	(github.event_name == 'workflow_dispatch') \|\|
	contains( github.event.pull_request.labels.*.name, 'tflite' )
	}}

	strategy:
	fail-fast: false
	matrix:
	python-version: [3.9]
	runs-on: [ubuntu-22.04]
	quantization_schema:
	[
	"not quantization",
	float16_quantization,
	int8_dynamic_quantization,
	int8_quantization_with_custom_dataset,
	int8_quantization_with_default_dataset,
	int8x16_quantization_with_default_dataset,
	full_int8_quantization_with_default_dataset,
	]

	runs-on: ${{ matrix.runs-on }}

	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
	run: \|
	pip install --upgrade pip
	pip install --no-cache-dir torch==2.1.2 torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
	pip install .[tests,exporters-tf]

	- name: Test with pytest
	run: \|
	pytest tests/exporters/tflite/test_export_cli.py -k "${{ matrix.quantization_schema }}" -vvvv --durations=0 -n auto

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