def algorithm_topology_id(cls, opts):
"""
generator of part of the id related to the topology of the network
Args:
opts:
Returns:
"""
first_net_option = opts["network_architecture"][0]
topology_id = "-"
if isinstance(first_net_option, str):
topology_id += first_net_option
else:
topology_id += '_'.join(
get_method_id(layer_tuple)
for layer_tuple in opts["network_architecture"]
if layer_tuple[0] is not 'flatten')
topology_id += '-wi' + get_method_id(opts["weights_init"]) + \
'-bi' + get_method_id(opts["bias_init"]) + \
'-a' + opts["activation"]
return topology_id
def create_id(self):
encoder_layers_ids = filter(None, [
utils.get_method_id(layer_tuple)
for layer_tuple in self._opts["network_architecture"]["encoder"]
])
decoder_layers_ids = filter(None, [
utils.get_method_id(layer_tuple)
for layer_tuple in self._opts["network_architecture"]["decoder"]
])
_id = '-ne_' + "_".join(encoder_layers_ids) + \
'-nd_' + "_".join(decoder_layers_ids)
super_id = super().create_id()
_id += super_id
return _id
def create_id(self):
layers_ids = [
utils.get_method_id(layer_tuple)
for layer_tuple in self._opts["network_architecture"]
]
_id = '-n' + "_".join(filter(None, layers_ids))
super_id = super().create_id()
_id += super_id
return _id
def create_id(self):
encoder_layers_ids = filter(None, [
utils.get_method_id(layer_tuple)
for layer_tuple in self._opts["network_architecture"]["encoder"]
])
decoder_layers_ids = filter(None, [
utils.get_method_id(layer_tuple)
for layer_tuple in self._opts["network_architecture"]["decoder"]
])
_id = '-ne_' + "_".join(encoder_layers_ids) +\
'-vq_' + "e{:}".format(self._opts["network_architecture"]["vq"]["embedding_dim"]) + \
"_p" + self._opts["network_architecture"]["vq"]["pre"][0] + \
"_lc{:}".format(self._opts["network_architecture"]["vq"]["latent_channels"]) + \
"_c{:}".format(self._opts["network_architecture"]["vq"]["commitment_cost"]) + \
"_pr" + self._opts["network_architecture"]["vq"]["prior"][0].upper() + \
'-nd_' + "_".join(decoder_layers_ids)
super_id = super().create_id()
_id += super_id
return _id
def create_id(self):
_id = self.launchable_name
# add to the ID the information of the cost function
_id += '-c' + self._cost_function.create_id(
self._opts["cost_function"][1])
#str_type = get_short_dtype(opts["dtype"])
preproc_tuple = self._opts.get("preprocess", None)
if preproc_tuple is not None:
_id += '-p' + get_method_id(preproc_tuple)
super_id = super().create_id()
network_id = self._network.create_id()
_id += super_id + network_id
if len(self._opts["regularizers"].keys()) > 0:
_id += '-cr' + self.create_custom_regularizers_id()
return _id