Add dataloader_kwargs support in DataConfig #1383

	name: Testing

	on: [push, pull_request]

	jobs:
	pytest:
	runs-on: ${{ matrix.os }}
	strategy:
	fail-fast: false
	matrix:
	os: [ubuntu-latest]
	python-version: ["3.8", "3.9", "3.10"]
	include:
	- { os: "ubuntu-20.04", python-version: "3.8", requires: "oldest" }
	- { os: "ubuntu-20.04", python-version: "3.9", requires: "oldest" }

	env:
	TORCH_URL: "https://download.pytorch.org/whl/cpu/torch_stable.html"

	steps:
	- uses: actions/checkout@v4
	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v5
	with:
	python-version: ${{ matrix.python-version }}

	- name: Set min. dependencies
	if: matrix.requires == 'oldest'
	run: \|
	import os
	fname = 'requirements/base.txt'
	lines = [line.replace('>=', '==') for line in open(fname).readlines()]
	open(fname, 'w').writelines(lines)
	shell: python

	- name: Install main package & dependencies
	run: \|
	pip install -e .[extra] -r requirements/dev.txt -f ${TORCH_URL}
	pip list

	- name: Restore test's datasets
	uses: actions/cache/restore@v4
	with:
	path: tests/.datasets
	key: test-datasets

	- name: Run test-suite
	run: python -m pytest -v

	- name: Save test's datasets
	uses: actions/cache/save@v4
	with:
	path: tests/.datasets
	key: test-datasets

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