def optimizer_from_config(config, custom_objects=None):
 all_classes = {'sgd': SGD, 'rmsprop': RMSprop, 'adagrad': Adagrad, 'adadelta': Adadelta, 'adam': Adam, 'adamax': Adamax, 'nadam': Nadam, 'tfoptimizer': TFOptimizer}
 class_name = config['class_name']
 if (custom_objects and (class_name in custom_objects)):
  cls = custom_objects[class_name]
 elif (class_name in get_custom_objects()):
  cls = get_custom_objects()[class_name]
 else:
  if (class_name.lower() not in all_classes):
   raise ValueError('Optimizer class not found:', class_name)
  cls = all_classes[class_name.lower()]
 return cls.from_config(config['config'])

def optimizer_from_config ( config , custom_objects = None ) : all_classes = { 'sgd' : SGD , 'rmsprop' : RMSprop , 'adagrad' : Adagrad , 'adadelta' : Adadelta , 'adam' : Adam , 'adamax' : Adamax , 'nadam' : Nadam , 'tfoptimizer' : TFOptimizer } class_name = config [ 'class_name' ] if ( custom_objects and ( class_name in custom_objects ) ) : cls = custom_objects [ class_name ] elif ( class_name in get_custom_objects ( ) ) : cls = get_custom_objects ( ) [ class_name ] else : if ( class_name . lower ( ) not in all_classes ) : raise ValueError ( 'Optimizer class not found:' , class_name ) cls = all_classes [ class_name . lower ( ) ] return cls . from_config ( config [ 'config' ] )
instantiate an optimizer given a config dictionary .