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68 lines
3.6 KiB
Python
68 lines
3.6 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 INFERENCE_POOL_SET, 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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state_manager.init_item('video_memory_strategy', 'strict')
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with patch('facefusion.inference_manager.detect_app_context', return_value = 'cli'):
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get_inference_pool('facefusion.content_analyser', model_names, model_source_set)
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assert isinstance(INFERENCE_POOL_SET.get('cli').get('facefusion.content_analyser.nsfw_1.nsfw_2.nsfw_3.0.cpu').get('nsfw_1'), InferenceSession)
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with patch('facefusion.inference_manager.detect_app_context', return_value = 'ui'):
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get_inference_pool('facefusion.content_analyser', model_names, model_source_set)
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assert isinstance(INFERENCE_POOL_SET.get('ui').get('facefusion.content_analyser.nsfw_1.nsfw_2.nsfw_3.0.cpu').get('nsfw_1'), InferenceSession)
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assert not (INFERENCE_POOL_SET.get('cli').get('facefusion.content_analyser.nsfw_1.nsfw_2.nsfw_3.0.cpu').get('nsfw_1') is INFERENCE_POOL_SET.get('ui').get('facefusion.content_analyser.nsfw_1.nsfw_2.nsfw_3.0.cpu').get('nsfw_1'))
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state_manager.init_item('video_memory_strategy', 'tolerant')
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with patch('facefusion.inference_manager.detect_app_context', return_value = 'ui'):
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get_inference_pool('facefusion.content_analyser', model_names, model_source_set)
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assert isinstance(INFERENCE_POOL_SET.get('ui').get('facefusion.content_analyser.nsfw_1.nsfw_2.nsfw_3.0.cpu').get('nsfw_1'), InferenceSession)
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assert INFERENCE_POOL_SET.get('cli').get('facefusion.content_analyser.nsfw_1.nsfw_2.nsfw_3.0.cpu').get('nsfw_1') is INFERENCE_POOL_SET.get('ui').get('facefusion.content_analyser.nsfw_1.nsfw_2.nsfw_3.0.cpu').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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assert resolve_static_inference_providers('override_module', 0) == [ ('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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assert resolve_static_inference_providers('adjust_module', 0) == [ ('CoreMLExecutionProvider', { 'SpecializationStrategy': 'FastPrediction', 'ModelCacheDirectory': resolve_cache_path(), 'ModelFormat': 'MLProgram' }) ]
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assert resolve_static_inference_providers('test', 0) == [ ('CoreMLExecutionProvider', { 'SpecializationStrategy': 'FastPrediction', 'ModelCacheDirectory': resolve_cache_path() }) ]
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