mirror of
https://github.com/facefusion/facefusion.git
synced 2026-08-04 16:18:38 +02:00
75 lines
3.4 KiB
Python
75 lines
3.4 KiB
Python
from types import SimpleNamespace
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from unittest.mock import Mock, patch
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import pytest
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from onnxruntime import InferenceSession
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from facefusion import content_analyser, state_manager
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from facefusion.execution import resolve_cache_path
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from facefusion.inference_manager import get_inference_pool, resolve_static_inference_providers
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@pytest.fixture(scope = 'module', autouse = True)
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def before_all() -> None:
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state_manager.init_item('execution_device_ids', [ 0 ])
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state_manager.init_item('execution_providers', [ 'cpu' ])
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state_manager.init_item('download_providers', [ 'github' ])
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def test_get_inference_pool() -> None:
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model_names = [ 'nsfw_1', 'nsfw_2', 'nsfw_3' ]
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_, model_source_set = content_analyser.collect_model_downloads()
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with patch('facefusion.inference_manager.has_execution_provider', return_value = True):
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with patch('facefusion.inference_manager.get_onnxruntime_version', return_value = (1, 26, 0)):
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with patch('facefusion.inference_manager.detect_app_context', return_value = 'cli'):
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cli_inference_pool = get_inference_pool('facefusion.content_analyser', model_names, model_source_set)
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assert isinstance(cli_inference_pool.get('nsfw_1'), InferenceSession)
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with patch('facefusion.inference_manager.detect_app_context', return_value = 'ui'):
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ui_inference_pool = get_inference_pool('facefusion.content_analyser', model_names, model_source_set)
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assert isinstance(ui_inference_pool.get('nsfw_1'), InferenceSession)
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assert not (cli_inference_pool.get('nsfw_1') is ui_inference_pool.get('nsfw_1'))
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with patch('facefusion.inference_manager.get_onnxruntime_version', return_value = (1, 24, 4)):
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with patch('facefusion.inference_manager.detect_app_context', return_value = 'ui'):
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ui_inference_pool = get_inference_pool('facefusion.content_analyser', model_names, model_source_set)
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assert isinstance(ui_inference_pool.get('nsfw_1'), InferenceSession)
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assert cli_inference_pool.get('nsfw_1') is ui_inference_pool.get('nsfw_1')
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@pytest.fixture
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def override_module() -> SimpleNamespace:
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return SimpleNamespace(override_inference_providers = Mock(return_value = [ ('CoreMLExecutionProvider', { 'ModelFormat': 'MLProgram' }) ]))
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@pytest.fixture
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def adjust_module() -> SimpleNamespace:
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return SimpleNamespace(adjust_inference_providers = Mock(return_value = [ ('CoreMLExecutionProvider', { 'ModelFormat': 'MLProgram' }) ]))
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def test_resolve_static_inference_providers(override_module : SimpleNamespace, adjust_module : SimpleNamespace) -> None:
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state_manager.init_item('execution_providers', ['coreml'])
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resolve_static_inference_providers.cache_clear()
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with patch('facefusion.inference_manager.importlib', Mock(import_module = Mock(return_value = override_module))):
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inference_providers = resolve_static_inference_providers('override_module', 0)
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assert inference_providers == [ ('CoreMLExecutionProvider', { 'ModelFormat': 'MLProgram' }) ]
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with patch('facefusion.inference_manager.importlib', Mock(import_module = Mock(return_value = adjust_module))):
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inference_providers = resolve_static_inference_providers('adjust_module', 0)
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assert inference_providers == [ ('CoreMLExecutionProvider', { 'SpecializationStrategy': 'FastPrediction', 'ModelCacheDirectory': resolve_cache_path(), 'ModelFormat': 'MLProgram' }) ]
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inference_providers = resolve_static_inference_providers('test', 0)
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assert inference_providers == [ ('CoreMLExecutionProvider', { 'SpecializationStrategy': 'FastPrediction', 'ModelCacheDirectory': resolve_cache_path() }) ]
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