def setUp(self):
self.maxDiff = None
super(TestRunConfigSerializer, self).setUp()
reset_register_and_logger()
self.configs_to_log, self.config_serialized_must = _get_configs_to_log(
)
self.configs_to_log_copy = copy.copy(self.configs_to_log)
def setUp(self):
reset_register_and_logger()
register_new_class("data_filter1", _DummyDataFilter)
register_new_class("file_list1", FileListDummy)
register_new_class("reader1", _DataReaderTF)
register_new_class("reader2", _DataReaderTF)
register_new_class("processor1", _DataProcessorTF)
register_new_class("processor2", _DataProcessorTF)
def setUp(self):
reset_register_and_logger()
register_new_class("plugin1", _KPIPlugin)
register_new_class('plugin2', _KPIPlugin)
register_new_class("accumulator1", _KPIAccumulator)
register_new_class("accumulator2", _KPIAccumulator)
self.plugins_and_accumulators_configs = [
{
"class_name": "plugin1",
"parameter1": 10
},
{
"class_name": "plugin2",
"parameter1": 20,
"cachers": [{
"class_name": "kpi_builder_test._KPICacher"
}]
},
{
"class_name": "accumulator1",
"parameter2": 100,
"cachers": [{
"class_name": "kpi_builder_test._KPICacher",
"p": 10
}],
"savers": [{
"class_name": "kpi_builder_test._KPISaver",
"p3": 5
}]
},
{
"class_name": "accumulator2",
"parameter2": 200,
"savers": [{
"class_name": "kpi_builder_test._KPISaver2",
"p4": 50
}]
},
]
self.project_global_config = {
"KPIPlugin": {
"cachers": [{
"class_name": "kpi_builder_test._KPICacher2",
"p2": 5
}],
"savers": [{
"class_name": "kpi_builder_test._KPISaver2",
"p4": 100
}]
}
}
project_global_config.clear_project_global_config()
super().setUp()
def setUp(self):
reset_register_and_logger()
register_new_class("dataset_with_file_list", _DatasetWithFileList)
register_new_class("dataset_without_file_list",
_DatasetWithoutFileList)
register_new_class("FileListDummy",
FileListDummy)
self.number_of_files1 = 20
self.number_of_files2 = 10
self.file_names1 = {'data': ['input_1_{:03d}.ext'.format(i)
for i in range(self.number_of_files1)]}
self.file_names2 = {'data': ['input2_1_{:03d}.ext'.format(i)
for i in range(self.number_of_files2)]}
def setUp(self):
reset_register_and_logger()
register_new_class('dummy_dataset_train',
nc7.data.Dataset)
register_new_class('dummy_dataset_eval',
nc7.data.Dataset)
register_new_class('dummy_callback_train',
nc7.coordinator.CoordinatorCallback)
register_new_class('dummy_plugin_train',
nc7.model.ModelPlugin)
register_new_class('dummy_loss',
nc7.model.ModelLoss)
register_new_class('dummy_pp',
nc7.model.ModelPostProcessor)
register_new_class('dummy_metrics',
nc7.model.ModelMetric)
register_new_class('dummy_summaries',
nc7.model.ModelSummary)
register_new_class('dummy_dataset_fl_train',
_DatasetFileListDummy)
register_new_class('dummy_dataset_fl_eval',
_DatasetFileListDummy)
register_new_class('dummy_file_list',
FileListDummy)
register_new_class('dummy_data_feeder',
nc7.data.DataFeeder)
register_new_class('dummy_callback_infer',
nc7.coordinator.CoordinatorCallback)
register_new_class('dummy_data_feeder_fl',
_DatafeederFileListDummy)
register_new_class('dummy_file_list_infer',
FileListDummy)
register_new_class("dummy_kpi_plugin1",
nc7.kpi.KPIPlugin)
register_new_class("dummy_kpi_plugin2",
nc7.kpi.KPIPlugin)
register_new_class("dummy_kpi_accumulator",
nc7.kpi.KPIAccumulator)
def setUp(self):
reset_register_and_logger()
self.number_of_files1 = 20
self.number_of_files2 = 10
self.number_of_files3 = 10
self.file_names1 = {
'input1': [
'input_1_{:03d}.ext'.format(i)
for i in range(self.number_of_files1)
],
'input2': [
'input_2_{:03d}.ext'.format(i)
for i in range(self.number_of_files1)
]
}
self.file_names2 = {
'input1': [
'input2_1_{:03d}.ext'.format(i)
for i in range(self.number_of_files2)
],
'input2': [
'input2_2_{:03d}.ext'.format(i)
for i in range(self.number_of_files2)
]
}
self.file_names3 = {
'input1': [
'input3_1_{:03d}.ext'.format(i)
for i in range(self.number_of_files3)
],
'input3': [
'input_3_{:03d}.ext'.format(i)
for i in range(self.number_of_files3)
]
}
self.file_names_1_2_3 = self._add_file_names()
def setUp(self) -> None:
reset_register_and_logger()
register_new_class("data_filter1", _DummyDataFilter1)
register_new_class("data_filter2", _DummyDataFilter2)
self.config1 = {"class_name": "data_filter1", "p1": 20, "p2": 500}
self.config2 = {"class_name": "data_filter2", "p1": 100}
def setUp(self):
super(TestCallbackBuilder, self).setUp()
reset_register_and_logger()
def setUp(self):
reset_register_and_logger()
def setUp(self):
tf.reset_default_graph()
reset_register_and_logger()
np.random.seed(5467)
