Spaces:
Runtime error
Runtime error
File size: 1,514 Bytes
ec313eb |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 |
from unittest.mock import patch
import pytest
from onnxruntime import InferenceSession
from facefusion import content_analyser, state_manager
from facefusion.inference_manager import INFERENCE_POOL_SET, get_inference_pool
@pytest.fixture(scope = 'module', autouse = True)
def before_all() -> None:
state_manager.init_item('execution_device_id', '0')
state_manager.init_item('execution_providers', [ 'cpu' ])
state_manager.init_item('download_providers', [ 'github' ])
content_analyser.pre_check()
def test_get_inference_pool() -> None:
model_names = [ 'nsfw_1', 'nsfw_2', 'nsfw_3' ]
_, model_source_set = content_analyser.collect_model_downloads()
with patch('facefusion.inference_manager.detect_app_context', return_value = 'cli'):
get_inference_pool('facefusion.content_analyser', model_names, model_source_set)
assert isinstance(INFERENCE_POOL_SET.get('cli').get('facefusion.content_analyser.nsfw_1.nsfw_2.nsfw_3.0.cpu').get('nsfw_1'), InferenceSession)
with patch('facefusion.inference_manager.detect_app_context', return_value = 'ui'):
get_inference_pool('facefusion.content_analyser', model_names, model_source_set)
assert isinstance(INFERENCE_POOL_SET.get('cli').get('facefusion.content_analyser.nsfw_1.nsfw_2.nsfw_3.0.cpu').get('nsfw_1'), InferenceSession)
assert INFERENCE_POOL_SET.get('cli').get('facefusion.content_analyser.nsfw_1.nsfw_2.nsfw_3.0.cpu').get('nsfw_1') == INFERENCE_POOL_SET.get('ui').get('facefusion.content_analyser.nsfw_1.nsfw_2.nsfw_3.0.cpu').get('nsfw_1')
|