def pretrainFromConfig(config):
"""
:type config: Config.Config
:rtype: Pretrain | None
"""
pretrainType = config.value("pretrain", "")
if pretrainType == "default":
network_init_args = LayerNetwork.init_args_from_config(config)
original_network_json = LayerNetwork.json_from_config(config)
copy_output_layer = config.bool_or_other("pretrain_copy_output_layer", "ifpossible")
greedy = config.bool("pretrain_greedy", None)
if config.is_typed("pretrain_repetitions"):
repetitions = config.typed_value("pretrain_repetitions")
else:
repetitions = config.int_list("pretrain_repetitions", None)
construction_algo = config.value("pretrain_construction_algo", None)
return Pretrain(original_network_json=original_network_json,
network_init_args=network_init_args,
copy_output_layer=copy_output_layer,
greedy=greedy, repetitions=repetitions,
construction_algo=construction_algo)
elif pretrainType == "":
return None
else:
raise Exception("unknown pretrain type: %s" % pretrainType)
def pretrainFromConfig(config):
"""
:type config: Config.Config
:rtype: Pretrain | None
"""
pretrainType = config.bool_or_other("pretrain", None)
if pretrainType == "default" or (isinstance(pretrainType, dict)
and pretrainType) or pretrainType is True:
network_init_args = LayerNetwork.init_args_from_config(config)
original_network_json = LayerNetwork.json_from_config(config)
opts = config.get_of_type("pretrain", dict, {})
if config.has("pretrain_copy_output_layer"):
opts.setdefault(
"copy_output_layer",
config.bool_or_other("pretrain_copy_output_layer",
"ifpossible"))
if config.has("pretrain_greedy"):
opts.setdefault("greedy", config.bool("pretrain_greedy", None))
if config.has("pretrain_repetitions"):
if config.is_typed("pretrain_repetitions"):
opts.setdefault("repetitions",
config.typed_value("pretrain_repetitions"))
else:
opts.setdefault("repetitions",
config.int_list("pretrain_repetitions", None))
if config.has("pretrain_construction_algo"):
opts.setdefault("construction_algo",
config.value("pretrain_construction_algo", None))
return Pretrain(original_network_json=original_network_json,
network_init_args=network_init_args,
**opts)
elif not pretrainType:
return None
else:
raise Exception("unknown pretrain type: %s" % pretrainType)
def pretrain_from_config(config):
"""
:type config: Config.Config
:rtype: Pretrain | None
"""
import Util
from Config import network_json_from_config
pretrain_type = config.bool_or_other("pretrain", None)
if pretrain_type == "default" or (isinstance(pretrain_type, dict) and pretrain_type) or pretrain_type is True:
if Util.BackendEngine.is_theano_selected():
from Network import LayerNetwork
network_init_args = LayerNetwork.init_args_from_config(config)
else:
network_init_args = None
original_network_json = network_json_from_config(config)
opts = config.get_of_type("pretrain", dict, {})
if config.has("pretrain_copy_output_layer"):
opts.setdefault("copy_output_layer", config.bool_or_other("pretrain_copy_output_layer", "ifpossible"))
if config.has("pretrain_greedy"):
opts.setdefault("greedy", config.bool("pretrain_greedy", None))
if config.has("pretrain_repetitions"):
if config.is_typed("pretrain_repetitions"):
opts.setdefault("repetitions", config.typed_value("pretrain_repetitions"))
else:
opts.setdefault("repetitions", config.int_list("pretrain_repetitions", None))
if config.has("pretrain_construction_algo"):
opts.setdefault("construction_algo", config.value("pretrain_construction_algo", None))
return Pretrain(original_network_json=original_network_json, network_init_args=network_init_args, **opts)
elif not pretrain_type:
return None
else:
raise Exception("unknown pretrain type: %s" % pretrain_type)
def pretrainFromConfig(config):
"""
:type config: Config.Config
:rtype: Pretrain | None
"""
pretrainType = config.value("pretrain", "")
if pretrainType == "default":
network_init_args = LayerNetwork.init_args_from_config(config)
original_network_json = LayerNetwork.json_from_config(config)
copy_output_layer = config.bool_or_other("pretrain_copy_output_layer", "ifpossible")
greedy = config.bool("pretrain_greedy", None)
repetitions = config.int_list("pretrain_repetitions", None)
construction_algo = config.value("pretrain_construction_algo", None)
return Pretrain(original_network_json=original_network_json,
network_init_args=network_init_args,
copy_output_layer=copy_output_layer,
greedy=greedy, repetitions=repetitions,
construction_algo=construction_algo)
elif pretrainType == "":
return None
else:
raise Exception("unknown pretrain type: %s" % pretrainType)
