def test_raises_with_multiple_models_tf_dlsdk(self):
config = {
'framework': 'dlsdk',
'tf_model': 'tf_model',
'model': 'custom_model',
'weights': 'custom_weights',
'device': 'cpu',
}
with pytest.raises(ConfigError):
DLSDKLauncher(config)
def test_raises_with_multiple_models_onnx_caffe(self):
config = {
'framework': 'dlsdk',
'onnx_model': 'onnx_model',
'caffe_model': 'caffe_model',
'caffe_weights': 'caffe_weights',
'device': 'cpu',
}
with pytest.raises(ConfigError):
DLSDKLauncher(config)
def test_raises_with_tf_model_and_tf_meta_both_provided(self):
config = {
'framework': 'dlsdk',
'model': 'custom_model',
'weights': 'custom_weights',
'caffe_model': 'caffe_model',
'caffe_weights': 'caffe_weights',
'mxnet_weights': 'mxnet_weights',
'tf_model': 'tf_model',
'tf_meta': 'tf_meta',
'device': 'cpu',
}
with pytest.raises(ConfigError):
DLSDKLauncher(config)
def test_model_converted_from_tf_checkpoint_with_arg_path_to_obj_detection_api_config(
self, mocker):
config = {
'framework': 'dlsdk',
'tf_meta': '/path/to/source_models/custom_model',
'device': 'cpu',
'adapter': 'classification',
'mo_params': {
'tensorflow_object_detection_api_pipeline_config':
'operations.config'
},
'_tf_custom_op_config_dir': 'config/dir',
'_tf_obj_detection_api_pipeline_config_path': 'od_api'
}
mocker.patch(
'openvino.tools.accuracy_checker.launcher.model_conversion.find_mo',
return_value=self.FAKE_MO_PATH)
prepare_args_patch = mocker.patch(
'openvino.tools.accuracy_checker.launcher.model_conversion.prepare_args'
)
args = {
'input_meta_graph':
'/path/to/source_models/custom_model',
'model_name':
'custom_model',
'framework':
'tf',
'tensorflow_object_detection_api_pipeline_config':
str(Path('od_api/operations.config'))
}
mocker.patch(
'openvino.tools.accuracy_checker.launcher.model_conversion.exec_mo_binary',
return_value=subprocess.CompletedProcess(args, returncode=0))
DLSDKLauncher(config)
prepare_args_patch.assert_called_once_with(str(self.FAKE_MO_PATH),
flag_options=[],
value_options=args)
def test_model_converted_from_tf_with_arg_path_to_custom_tf_config(
self, mocker):
config = {
'framework': 'dlsdk',
'tf_model': '/path/to/source_models/custom_model',
'device': 'cpu',
'adapter': 'classification',
'mo_params': {
'tensorflow_use_custom_operations_config':
'ssd_v2_support.json'
},
'_tf_custom_op_config_dir': 'config/dir'
}
mocker.patch(
'openvino.tools.accuracy_checker.launcher.model_conversion.find_mo',
return_value=self.FAKE_MO_PATH)
prepare_args_patch = mocker.patch(
'openvino.tools.accuracy_checker.launcher.model_conversion.prepare_args'
)
args = {
'input_model':
'/path/to/source_models/custom_model',
'model_name':
'custom_model',
'framework':
'tf',
'tensorflow_use_custom_operations_config':
str(Path('config/dir/ssd_v2_support.json'))
}
mocker.patch(
'openvino.tools.accuracy_checker.launcher.model_conversion.exec_mo_binary',
return_value=subprocess.CompletedProcess(args, returncode=0))
mo_path = str(self.FAKE_MO_PATH)
DLSDKLauncher(config)
prepare_args_patch.assert_called_once_with(mo_path,
flag_options=[],
value_options=args)
def test_model_converted_from_tf_checkpoint_with_default_path_to_transformations_config(
self, mocker):
config = {
'framework': 'dlsdk',
'tf_meta': '/path/to/source_models/custom_model',
'device': 'cpu',
'adapter': 'classification',
'mo_params': {
'transformations_config': 'config.json'
}
}
mocker.patch(
'openvino.tools.accuracy_checker.launcher.model_conversion.find_mo',
return_value=self.FAKE_MO_PATH)
prepare_args_patch = mocker.patch(
'openvino.tools.accuracy_checker.launcher.model_conversion.prepare_args'
)
args = {
'input_meta_graph':
'/path/to/source_models/custom_model',
'model_name':
'custom_model',
'framework':
'tf',
'transformations_config':
str(Path('/path/extensions/front/tf/config.json').absolute())
}
mocker.patch(
'openvino.tools.accuracy_checker.launcher.model_conversion.exec_mo_binary',
return_value=subprocess.CompletedProcess(args, returncode=0))
DLSDKLauncher(config)
prepare_args_patch.assert_called_once_with(str(self.FAKE_MO_PATH),
flag_options=[],
value_options=args)
