def from_config_topology(cls, config, mask=None, **kwargs):
"""
:type config: Config.Config
:param str mask: e.g. "unity" or None ("dropout"). "unity" is for testing.
:rtype: LayerNetwork
"""
json_content = cls.json_from_config(config, mask=mask)
from Pretrain import find_pretrain_wrap_values, pretrainFromConfig
if find_pretrain_wrap_values(json_content):
pretrain = pretrainFromConfig(config=config)
assert pretrain, "found Pretrain WrapEpochValue but no pretrain configured"
json_content = pretrain.get_final_network_json()
return cls.from_json_and_config(json_content, config, mask=mask, **kwargs)
def from_config_topology(cls, config, mask=None, **kwargs):
"""
:type config: Config.Config
:param str mask: e.g. "unity" or None ("dropout"). "unity" is for testing.
:rtype: LayerNetwork
"""
json_content = cls.json_from_config(config, mask=mask)
from Pretrain import find_pretrain_wrap_values, pretrain_from_config
if find_pretrain_wrap_values(json_content):
pretrain = pretrain_from_config(config=config)
assert pretrain, "found Pretrain WrapEpochValue but no pretrain configured"
json_content = pretrain.get_final_network_json()
return cls.from_json_and_config(json_content, config, mask=mask, **kwargs)