def test_only_appropriate_launcher_is_filtered_by_user_input_devices(self):
config_launchers = [
{
'framework': 'dlsdk',
'model': '/absolute_path1',
'weights': '/absolute_path1',
'adapter': 'classification',
'device': 'CPU'
},
{
'framework': 'dlsdk',
'model': '/absolute_path1',
'weights': '/absolute_path1',
'adapter': 'classification',
'device': 'HETERO:CPU,GPU'
},
{
'framework': 'caffe',
'model': '/absolute_path2',
'weights': '/absolute_path2',
'adapter': 'classification',
'device': 'GPU'
}
]
config = {'models': [{'name': 'name', 'launchers': config_launchers}]}
self.arguments.target_devices = ['GPU', 'CPU']
ConfigReader._filter_launchers(config, self.arguments)
launchers = config['models'][0]['launchers']
assert launchers == [config_launchers[0], config_launchers[2]]
def test_expand_relative_paths_in_launchers_config_using_command_line(self):
local_config = {'models': [{
'name': 'model',
'launchers': [{
'framework': 'dlsdk',
'model': 'relative_model_path',
'weights': 'relative_weights_path',
'cpu_extensions': 'relative_extensions_path',
'gpu_extensions': 'relative_extensions_path',
'caffe_model': 'relative_model_path',
'caffe_weights': 'relative_weights_path',
'tf_model': 'relative_model_path',
'mxnet_weights': 'relative_weights_path',
'bitstream': 'relative_bitstreams_path'
}]
}]}
expected = copy.deepcopy(local_config['models'][0]['launchers'][0])
expected['model'] = self.arguments.models / 'relative_model_path'
expected['caffe_model'] = self.arguments.models / 'relative_model_path'
expected['tf_model'] = self.arguments.models / 'relative_model_path'
expected['weights'] = self.arguments.models / 'relative_weights_path'
expected['caffe_weights'] = self.arguments.models / 'relative_weights_path'
expected['mxnet_weights'] = self.arguments.models / 'relative_weights_path'
expected['cpu_extensions'] = self.arguments.extensions / 'relative_extensions_path'
expected['gpu_extensions'] = self.arguments.extensions / 'relative_extensions_path'
expected['bitstream'] = self.arguments.bitstreams / 'relative_bitstreams_path'
ConfigReader._merge_paths_with_prefixes(self.arguments, local_config)
assert local_config['models'][0]['launchers'][0] == expected
def test_both_launchers_are_filtered_by_other_devices(self):
config_launchers = [
{
'framework': 'dlsdk',
'model': '/absolute_path1',
'weights': '/absolute_path1',
'adapter': 'classification',
'device': 'CPU'
},
{
'framework': 'caffe',
'model': '/absolute_path2',
'weights': '/absolute_path2',
'adapter': 'classification',
'device': 'CPU'
}
]
config = {'models': [{'name': 'name', 'launchers': config_launchers}]}
self.arguments.target_devices = ['FPGA', 'MYRIAD']
with pytest.warns(Warning):
ConfigReader._filter_launchers(config, self.arguments)
launchers = config['models'][0]['launchers']
assert len(launchers) == 0
def test_launcher_is_not_filtered_by_device_with_tail(self):
config_launchers = [
{
'framework': 'dlsdk',
'model': '/absolute_path1',
'weights': '/absolute_path1',
'adapter': 'classification',
'device': 'CPU'
},
{
'framework': 'caffe',
'model': '/absolute_path2',
'weights': '/absolute_path2',
'adapter': 'classification',
'device': 'GPU'
}
]
config = {'models': [{'name': 'name', 'launchers': config_launchers}]}
self.arguments.target_devices = ['CPU', 'GPUunexepectedtail']
ConfigReader._filter_launchers(config, self.arguments)
launchers = config['models'][0]['launchers']
assert len(launchers) == 1
assert launchers[0] == config_launchers[0]
def test_expand_relative_paths_in_datasets_config_using_command_line(self):
local_config = {
'models': [{
'name':
'model',
'datasets': [{
'name': 'global_dataset',
'dataset_meta': 'relative_annotation_path',
'data_source': 'relative_source_path',
'segmentation_masks_source': 'relative_source_path',
'annotation': 'relative_annotation_path'
}]
}]
}
expected_dataset = copy.deepcopy(
local_config['models'][0]['datasets'][0])
expected_dataset['annotation'] = self.merge(
self.arguments.root, self.arguments.annotations,
'relative_annotation_path')
expected_dataset['dataset_meta'] = self.merge(
self.arguments.root, self.arguments.annotations,
'relative_annotation_path')
expected_dataset['segmentation_masks_source'] = self.merge(
self.arguments.root, self.arguments.source, 'relative_source_path')
expected_dataset['data_source'] = self.merge(self.arguments.root,
self.arguments.source,
'relative_source_path')
ConfigReader._merge_paths_with_prefixes(self.arguments, local_config)
assert local_config['models'][0]['datasets'][0] == expected_dataset
def test_only_appropriate_launcher_is_filtered_by_another_framework(self):
config_launchers = [
{
'framework': 'dlsdk',
'model': '/absolute_path1',
'weights': '/absolute_path1',
'adapter': 'classification',
'device': 'CPU'
},
{
'framework': 'caffe',
'model': '/absolute_path2',
'weights': '/absolute_path2',
'adapter': 'classification',
'device': 'GPU'
}
]
config = {'models': [{'name': 'name', 'launchers': config_launchers}]}
self.arguments.target_framework = 'caffe'
ConfigReader._filter_launchers(config, self.arguments)
launchers = config['models'][0]['launchers']
assert len(launchers) == 1
assert launchers[0] == config_launchers[1]
def test_empty_local_config_raises_value_error_exception(self, mocker):
mocker.patch(self.module + '._read_configs',
return_value=(self.global_config, {}))
with pytest.raises(ValueError) as exception:
ConfigReader.merge(self.arguments)
error_message = str(exception).split(sep=': ')[-1]
assert error_message == 'Missing local config'
def test_invalid_model_raises_value_error_exception(self, mocker):
mocker.patch(self.module + '._read_configs', return_value=(
self.global_config, {'models': [{'name': None, 'launchers': None, 'datasets': None}]}
))
with pytest.raises(ConfigError) as exception:
ConfigReader.merge(self.arguments)
error_message = str(exception).split(sep=': ')[-1]
assert error_message == 'Each model must specify {}'.format(['name', 'launchers', 'datasets'])
def test_empty_models_in_local_config_raises_value_error_exception(self, mocker):
mocker.patch(self.module + '._read_configs', return_value=(
self.global_config, {'models': []}
))
with pytest.raises(ConfigError) as exception:
ConfigReader.merge(self.arguments)
error_message = str(exception).split(sep=': ')[-1]
assert error_message == 'Missed "{}" in local config'.format('models')
def test_launcher_is_filtered_by_another_framework(self):
config = {'models': [{'name': 'name', 'launchers': [{
'framework': 'dlsdk',
'model': '/absolute_path',
'weights': '/absolute_path',
'adapter': 'classification'
}]}]}
self.arguments.target_framework = 'caffe'
with pytest.warns(Warning):
ConfigReader._filter_launchers(config, self.arguments)
launchers = config['models'][0]['launchers']
assert len(launchers) == 0
def test_launcher_is_not_filtered_by_the_same_device(self):
config_launchers = [{
'framework': 'dlsdk',
'model': '/absolute_path1',
'weights': '/absolute_path1',
'adapter': 'classification',
'device': 'CPU'
}]
config = {'models': [{'name': 'name', 'launchers': config_launchers}]}
self.arguments.target_devices = ['CPU']
ConfigReader._filter_launchers(config, self.arguments)
launchers = config['models'][0]['launchers']
assert launchers == config_launchers
def test_launcher_is_not_filtered_by_device_with_tail(self, mocker):
config_launchers = [
{
'framework': 'dlsdk',
'model': Path('/absolute_path1'),
'weights': Path('/absolute_path1'),
'adapter': 'classification',
'device': 'CPU',
'_model_optimizer': self.arguments.model_optimizer,
'_models_prefix': self.arguments.models
},
{
'framework': 'caffe',
'model': Path('/absolute_path2'),
'weights': Path('/absolute_path2'),
'adapter': 'classification',
'device': 'GPU'
}
]
local_config = {'models': [{'name': 'name', 'launchers': config_launchers, 'datasets': [{'name': 'dataset'}]}]}
mocker.patch(self.module + '._read_configs', return_value=(None, local_config))
args = copy.deepcopy(self.arguments)
args.converted_models = None
args.target_devices = ['CPU', 'GPU_unexpected_tail']
config = ConfigReader.merge(args)
launchers = config['models'][0]['launchers']
assert len(launchers) == 1
assert launchers[0] == config_launchers[0]
def test_launcher_with_several_tags_contained_at_least_one_from_target_tegs_is_not_filtered(self, mocker):
config_launchers = [
{
'framework': 'dlsdk',
'tags': ['tag1', 'tag2'],
'model': Path('/absolute_path1'),
'weights': Path('/absolute_path1'),
'adapter': 'classification',
'device': 'CPU',
'_model_optimizer': self.arguments.model_optimizer,
'_models_prefix': self.arguments.models
}
]
local_config = {'models': [{'name': 'name', 'launchers': config_launchers, 'datasets': [{'name': 'dataset'}]}]}
mocker.patch(self.module + '._read_configs', return_value=(None, local_config))
args = copy.deepcopy(self.arguments)
args.model_optimizer = None
args.converted_models = None
args.target_tags = ['tag2']
config = ConfigReader.merge(args)
launchers = config['models'][0]['launchers']
assert len(launchers) == 1
assert launchers[0] == config_launchers[0]
def test_both_launchers_are_filtered_by_target_tags_if_tags_not_provided_in_config(self, mocker):
config_launchers = [
{
'framework': 'dlsdk',
'model': '/absolute_path1',
'weights': '/absolute_path1',
'adapter': 'classification',
'device': 'CPU',
},
{
'framework': 'dlsdk',
'model': '/absolute_path2',
'weights': '/absolute_path2',
'adapter': 'classification',
'device': 'GPU',
}
]
local_config = {'models': [{'name': 'name', 'launchers': config_launchers, 'datasets': [{'name': 'dataset'}]}]}
self.arguments.target_tags = ['some_tag']
mocker.patch(self.module + '._read_configs', return_value=(None, local_config))
with pytest.warns(Warning):
config = ConfigReader.merge(self.arguments)
launchers = config['models'][0]['launchers']
assert len(launchers) == 0
def test_only_appropriate_launcher_is_filtered_by_another_framework(self, mocker):
config_launchers = [
{
'framework': 'dlsdk',
'model': Path('/absolute_path1'),
'weights': Path('/absolute_path1'),
'adapter': 'classification',
'device': 'CPU',
'_model_optimizer': self.arguments.model_optimizer,
'_models_prefix': self.arguments.models
},
{
'framework': 'caffe',
'model': Path('/absolute_path2'),
'weights': Path('/absolute_path2'),
'adapter': 'classification',
'device': 'GPU'
}
]
local_config = {'models': [{'name': 'name', 'launchers': config_launchers, 'datasets': [{'name': 'dataset'}]}]}
mocker.patch(self.module + '._read_configs', return_value=(None, local_config))
self.arguments.target_framework = 'caffe'
config = ConfigReader.merge(self.arguments)
launchers = config['models'][0]['launchers']
assert len(launchers) == 1
assert launchers[0] == config_launchers[1]
def test_both_launchers_are_not_filtered_by_the_same_framework(self, mocker):
config_launchers = [
{
'framework': 'dlsdk',
'model': Path('/absolute_path1'),
'weights': Path('/absolute_path1'),
'adapter': 'classification',
'device': 'CPU',
'_model_optimizer': self.arguments.model_optimizer,
'_models_prefix': self.arguments.models
},
{
'framework': 'dlsdk',
'model': Path('/absolute_path2'),
'weights': Path('/absolute_path2'),
'adapter': 'classification',
'device': 'GPU',
'_model_optimizer': self.arguments.model_optimizer,
'_models_prefix': self.arguments.models
}
]
local_config = {'models': [{'name': 'name', 'launchers': config_launchers, 'datasets': [{'name': 'dataset'}]}]}
mocker.patch(self.module + '._read_configs', return_value=(None, local_config))
args = copy.deepcopy(self.arguments)
args.model_optimizer = None
args.converted_models = None
args.target_framework = 'dlsdk'
config = ConfigReader.merge(args)
launchers = config['models'][0]['launchers']
assert launchers == config_launchers
def test_expand_relative_paths_in_datasets_config_using_command_line(self, mocker):
local_config = {'models': [{
'name': 'model',
'launchers': [{'framework': 'caffe'}],
'datasets': [{
'name': 'global_dataset',
'dataset_meta': 'relative_annotation_path',
'data_source': 'relative_source_path',
'segmentation_masks_source': 'relative_source_path',
'annotation': 'relative_annotation_path'
}]
}]}
mocker.patch(self.module + '._read_configs', return_value=(
None, local_config
))
expected = copy.deepcopy(local_config['models'][0]['datasets'][0])
expected['annotation'] = self.arguments.annotations / 'relative_annotation_path'
expected['dataset_meta'] = self.arguments.annotations / 'relative_annotation_path'
expected['segmentation_masks_source'] = self.arguments.source / 'relative_source_path'
expected['data_source'] = self.arguments.source / 'relative_source_path'
config = ConfigReader.merge(self.arguments)
assert config['models'][0]['datasets'][0] == expected
def test_both_launchers_are_filtered_by_other_devices(self, mocker):
config_launchers = [
{
'framework': 'dlsdk',
'model': '/absolute_path1',
'weights': '/absolute_path1',
'adapter': 'classification',
'device': 'CPU',
},
{
'framework': 'caffe',
'model': '/absolute_path2',
'weights': '/absolute_path2',
'adapter': 'classification',
'device': 'CPU'
}
]
local_config = {'models': [{'name': 'name', 'launchers': config_launchers, 'datasets': [{'name': 'dataset'}]}]}
mocker.patch(self.module + '._read_configs', return_value=(None, local_config))
self.arguments.target_devices = ['FPGA', 'MYRIAD']
with pytest.warns(Warning):
config = ConfigReader.merge(self.arguments)
launchers = config['models'][0]['launchers']
assert len(launchers) == 0
def test_both_launchers_are_filtered_by_another_tag(self, mocker):
config_launchers = [
{
'framework': 'dlsdk',
'tags': ['some_tag'],
'model': '/absolute_path1',
'weights': '/absolute_path1',
'adapter': 'classification',
'device': 'CPU',
'_model_optimizer': self.arguments.model_optimizer,
'_models_prefix': self.arguments.models
},
{
'framework': 'dlsdk',
'tags': ['some_tag'],
'model': '/absolute_path2',
'weights': '/absolute_path2',
'adapter': 'classification',
'device': 'GPU',
'_model_optimizer': self.arguments.model_optimizer,
'_models_prefix': self.arguments.models
}
]
local_config = {'models': [{'name': 'name', 'launchers': config_launchers, 'datasets': [{'name': 'dataset'}]}]}
mocker.patch(self.module + '._read_configs', return_value=(None, local_config))
args = copy.deepcopy(self.arguments)
args.model_optimizer = None
args.converted_models = None
args.target_tags = ['other_tag']
with pytest.warns(Warning):
config = ConfigReader.merge(args)
launchers = config['models'][0]['launchers']
assert len(launchers) == 0
def test_merge_datasets_with_definitions(self):
local_config = {'models': [{
'name': 'model',
'launchers': [{'framework': 'dlsdk', 'model': '/absolute_path', 'weights': '/absolute_path'}],
'datasets': [{'name': 'global_dataset'}]
}]}
config = ConfigReader._merge_configs(self.global_config, local_config)
assert config['models'][0]['datasets'][0] == self.global_datasets[0]
def test_merge_launchers_with_definitions(self):
local_config = {'models': [{
'name': 'model',
'launchers': [{'framework': 'dlsdk'}],
'datasets': [{'name': 'global_dataset'}]
}]}
config = ConfigReader._merge_configs(self.global_config, local_config)
assert config['models'][0]['launchers'][0] == self.get_global_launcher('dlsdk')
def test_not_modify_absolute_paths_in_datasets_config_using_command_line(self):
local_config = {'models': [{
'name': 'model',
'datasets': [{
'name': 'global_dataset',
'dataset_meta': '/absolute_annotation_meta_path',
'data_source': '/absolute_source_path',
'annotation': '/absolute_annotation_path',
}]
}]}
expected = copy.deepcopy(local_config['models'][0]['datasets'][0])
expected['annotation'] = Path('/absolute_annotation_path')
expected['dataset_meta'] = Path('/absolute_annotation_meta_path')
expected['data_source'] = Path('/absolute_source_path')
ConfigReader._merge_paths_with_prefixes(self.arguments, local_config)
assert local_config['models'][0]['datasets'][0] == expected
def test_merge_launchers_with_model_is_not_modified(self):
local_config = {'models': [{
'name': 'model',
'launchers': [{'framework': 'dlsdk', 'model': 'custom'}],
'datasets': [{'name': 'global_dataset'}]
}]}
expected = self.get_global_launcher('dlsdk')
expected['model'] = 'custom'
config = ConfigReader._merge_configs(self.global_config, local_config)
assert config['models'][0]['launchers'][0] == expected
def test_merge_datasets_with_definitions_and_meta_is_not_modified(self):
local_config = {'models': [{
'name': 'model',
'launchers': [{'framework': 'dlsdk', 'model': '/absolute_path', 'weights': '/absolute_path'}],
'datasets': [{'name': 'global_dataset', 'dataset_meta': '/absolute_path'}]
}]}
expected = self.global_datasets[0]
expected['dataset_meta'] = '/absolute_path'
config = ConfigReader._merge_configs(self.global_config, local_config)
assert config['models'][0]['datasets'][0] == expected
def test_merge_datasets_with_definitions(self, mocker):
local_config = {'models': [{
'name': 'model',
'launchers': [{'framework': 'dlsdk', 'model': '/absolute_path', 'weights': '/absolute_path'}],
'datasets': [{'name': 'global_dataset'}]
}]}
mocker.patch(self.module + '._read_configs', return_value=(
self.global_config, local_config
))
arguments = copy.deepcopy(self.arguments)
arguments.model_optimizer = None
config = ConfigReader.merge(arguments)
assert config['models'][0]['datasets'][0] == self.global_datasets[0]
def test_merge_datasets_with_definitions_and_meta_is_not_modified(self, mocker):
local_config = {'models': [{
'name': 'model',
'launchers': [{'framework': 'dlsdk', 'model': '/absolute_path', 'weights': '/absolute_path'}],
'datasets': [{'name': 'global_dataset', 'dataset_meta': '/absolute_path'}]
}]}
expected = self.global_datasets[0]
expected['dataset_meta'] = Path('/absolute_path')
mocker.patch(self.module + '._read_configs', return_value=(
self.global_config, local_config
))
config = ConfigReader.merge(self.arguments)
assert config['models'][0]['datasets'][0] == expected
def test_read_configs_without_global_config(self, mocker):
config = {'models': [{
'name': 'model',
'launchers': [{'framework': 'dlsdk', 'model': '/absolute_path', 'weights': '/absolute_path'}],
'datasets': [{'name': 'global_dataset'}]
}]}
empty_args = Namespace(**{
'models': None, 'extensions': None, 'source': None, 'annotations': None,
'converted_models': None, 'model_optimizer': None, 'bitstreams': None,
'definitions': None, 'config': None,'stored_predictions': None,'tf_custom_op_config': None,
'progress': 'bar', 'target_framework': None, 'target_devices': None, 'log_file': None
})
mocker.patch('accuracy_checker.utils.get_path', return_value=Path.cwd())
mocker.patch('yaml.load', return_value=config)
mocker.patch('pathlib.Path.open')
_, local_config = ConfigReader._read_configs(empty_args)
assert config == local_config
def test_merge_launchers_with_model_is_not_modified(self, mocker):
local_config = {'models': [{
'name': 'model',
'launchers': [{'framework': 'dlsdk', 'model': 'custom'}],
'datasets': [{'name': 'global_dataset'}]
}]}
expected = copy.deepcopy(self.get_global_launcher('dlsdk'))
expected['model'] = 'custom'
expected['bitstream'] = self.arguments.bitstreams / expected['bitstream']
expected['cpu_extensions'] = self.arguments.extensions / expected['cpu_extensions']
mocker.patch(self.module + '._read_configs', return_value=(
self.global_config, local_config
))
args = copy.deepcopy(self.arguments)
args.model_optimizer = None
args.models = None
args.converted_models = None
config = ConfigReader.merge(args)
assert config['models'][0]['launchers'][0] == expected
def test_only_appropriate_launcher_is_filtered_by_user_input_devices(self, mocker):
config_launchers = [
{
'framework': 'dlsdk',
'model': Path('/absolute_path1'),
'weights': Path('/absolute_path1'),
'adapter': 'classification',
'device': 'CPU',
'_model_optimizer': self.arguments.model_optimizer,
'_models_prefix': self.arguments.models
},
{
'framework': 'dlsdk',
'model': Path('/absolute_path1'),
'weights': Path('/absolute_path1'),
'adapter': 'classification',
'device': 'HETERO:CPU,GPU',
'_model_optimizer': self.arguments.model_optimizer,
'_models_prefix': self.arguments.models
},
{
'framework': 'caffe',
'model': Path('/absolute_path2'),
'weights': Path('/absolute_path2'),
'adapter': 'classification',
'device': 'GPU',
}
]
local_config = {'models': [{'name': 'name', 'launchers': config_launchers, 'datasets': [{'name': 'dataset'}]}]}
mocker.patch(self.module + '._read_configs', return_value=(None, local_config))
args = copy.deepcopy(self.arguments)
args.converted_models = None
args.target_devices = ['GPU', 'CPU']
config = ConfigReader.merge(args)
launchers = config['models'][0]['launchers']
assert launchers == [config_launchers[0], config_launchers[2]]
def test_expand_relative_paths_in_launchers_config_using_command_line(self, mocker):
local_config = {'models': [{
'name': 'model',
'launchers': [{
'framework': 'dlsdk',
'model': 'relative_model_path',
'weights': 'relative_weights_path',
'cpu_extensions': 'relative_extensions_path',
'gpu_extensions': 'relative_extensions_path',
'caffe_model': 'relative_model_path',
'caffe_weights': 'relative_weights_path',
'tf_model': 'relative_model_path',
'mxnet_weights': 'relative_weights_path',
'bitstream': 'relative_bitstreams_path'
}],
'datasets': [{'name': 'dataset'}]
}]}
mocker.patch(self.module + '._read_configs', return_value=(None, local_config))
expected = copy.deepcopy(local_config['models'][0]['launchers'][0])
expected['model'] = self.arguments.models / 'relative_model_path'
expected['caffe_model'] = self.arguments.models / 'relative_model_path'
expected['tf_model'] = self.arguments.models / 'relative_model_path'
expected['weights'] = self.arguments.models / 'relative_weights_path'
expected['caffe_weights'] = self.arguments.models / 'relative_weights_path'
expected['mxnet_weights'] = self.arguments.models / 'relative_weights_path'
expected['cpu_extensions'] = self.arguments.extensions / 'relative_extensions_path'
expected['gpu_extensions'] = self.arguments.extensions / 'relative_extensions_path'
expected['bitstream'] = self.arguments.bitstreams / 'relative_bitstreams_path'
expected['_models_prefix'] = self.arguments.models
args = copy.deepcopy(self.arguments)
args.model_optimizer = None
args.converted_models = None
config = ConfigReader.merge(args)
assert config['models'][0]['launchers'][0] == expected
