def get_resnet_config():
"""Define config of an additional object. In this case 'resnet'"""
config = Configuration('resnet')
config.add_param('foo', True, 'Test variable')
config.add_param('bar', False, 'Another variable')
config.add_param('mixed', 555.5, 'Yet another variable')
config.add_param('maybe_alist_of_float', 1., 'some potential list',
'maybe_list')
return config
def get_subconfig(net_type):
"""
Define configuration for an object. In this case a network names 'retina'
"""
if not (net_type == 'retina'):
raise RuntimeError(f"Unsupported network type {net_type}")
# default retina configuration
config = Configuration('retina')
config.add_param('setting', 111, 'some standard setting')
config.add_param('maybe_alist_of_int', 0, 'some potential list',
'maybe_list')
config.add_param('empty_list', [], 'some empty list', 'maybe_list')
# nested configuration for resnet
config.add_param('resnet', get_resnet_config(), 'resnet help')
return config
def get_basic_config():
"""
Define some default basic configuration
"""
# global configuration
config = Configuration()
config.add_param('aint', 1, 'Some int')
config.add_param('astr', 'a', 'Some string')
config.add_param('afloat', 10.1, 'Some float')
config.add_param('alist', ['a', 2, 4.3], 'Some list')
config.add_param('adict', {'a': 1}, 'Some dict')
config.add_param('training.network_type', 'dope', 'Network type')
config.add_param('optimizer.learning_rate', 1.000, 'Learning Rate')
config.a = '123'
return config