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# coding: utf-8
"""
BigGAN config.
"""
from __future__ import (absolute_import, division, print_function, unicode_literals)
import copy
import json
class BigGANConfig(object):
""" Configuration class to store the configuration of a `BigGAN`.
Defaults are for the 128x128 model.
layers tuple are (up-sample in the layer ?, input channels, output channels)
"""
def __init__(self,
output_dim=128,
z_dim=128,
class_embed_dim=128,
channel_width=128,
num_classes=1000,
layers=[(False, 16, 16),
(True, 16, 16),
(False, 16, 16),
(True, 16, 8),
(False, 8, 8),
(True, 8, 4),
(False, 4, 4),
(True, 4, 2),
(False, 2, 2),
(True, 2, 1)],
attention_layer_position=8,
eps=1e-4,
n_stats=51):
"""Constructs BigGANConfig. """
self.output_dim = output_dim
self.z_dim = z_dim
self.class_embed_dim = class_embed_dim
self.channel_width = channel_width
self.num_classes = num_classes
self.layers = layers
self.attention_layer_position = attention_layer_position
self.eps = eps
self.n_stats = n_stats
@classmethod
def from_dict(cls, json_object):
"""Constructs a `BigGANConfig` from a Python dictionary of parameters."""
config = BigGANConfig()
for key, value in json_object.items():
config.__dict__[key] = value
return config
@classmethod
def from_json_file(cls, json_file):
"""Constructs a `BigGANConfig` from a json file of parameters."""
with open(json_file, "r", encoding='utf-8') as reader:
text = reader.read()
return cls.from_dict(json.loads(text))
def __repr__(self):
return str(self.to_json_string())
def to_dict(self):
"""Serializes this instance to a Python dictionary."""
output = copy.deepcopy(self.__dict__)
return output
def to_json_string(self):
"""Serializes this instance to a JSON string."""
return json.dumps(self.to_dict(), indent=2, sort_keys=True) + "\n"
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