<s> import theano <EOL> import theano . tensor as T <EOL> import numpy as np <EOL> from neupy . utils import asfloat <EOL> from neupy . core . properties import ProperFractionProperty , NumberProperty <EOL> from . base import MinibatchGradientDescent <EOL> __all__ = ( '<STR_LIT>' , ) <EOL> class Adamax ( MinibatchGradientDescent ) : <EOL> """<STR_LIT>""" <EOL> step = NumberProperty ( default = <NUM_LIT> , minval = <NUM_LIT:0> ) <EOL> beta1 = ProperFractionProperty ( default = <NUM_LIT> ) <EOL> beta2 = ProperFractionProperty ( default = <NUM_LIT> ) <EOL> epsilon = NumberProperty ( default = <NUM_LIT> , minval = <NUM_LIT:0> ) <EOL> def init_layers ( self ) : <EOL> super ( Adamax , self ) . init_layers ( ) <EOL> for layer in self . layers : <EOL> for parameter in layer . parameters : <EOL> parameter_shape = T . shape ( parameter ) . eval ( ) <EOL> parameter . prev_first_moment = theano . shared ( <EOL> name = "<STR_LIT>" + parameter . name , <EOL> value = asfloat ( np . zeros ( parameter_shape ) ) , <EOL> ) <EOL> parameter . prev_weighted_inf_norm = theano . shared ( <EOL> name = "<STR_LIT>" + parameter . name , <EOL> value = asfloat ( np . zeros ( parameter_shape ) ) , <EOL> ) <EOL> def init_param_updates ( self , layer , parameter ) : <EOL> epoch = self . variables . epoch <EOL> prev_first_moment = parameter . prev_first_moment <EOL> prev_weighted_inf_norm = parameter . prev_weighted_inf_norm <EOL> step = self . variables . step <EOL> beta1 = self . beta1 <EOL> beta2 = self . beta2 <EOL> gradient = T . grad ( self . variables . error_func , wrt = parameter ) <EOL> first_moment = beta1 * prev_first_moment + ( <NUM_LIT:1> - beta1 ) * gradient <EOL> weighted_inf_norm = T . maximum ( beta2 * prev_weighted_inf_norm , <EOL> T . abs_ ( gradient ) ) <EOL> parameter_delta = ( <EOL> ( <NUM_LIT:1> / ( <NUM_LIT:1> - beta1 ** epoch ) ) * <EOL> ( first_moment / ( weighted_inf_norm + self . epsilon ) ) <EOL> ) <EOL> return [ <EOL> ( prev_first_moment , first_moment ) , <EOL> ( prev_weighted_inf_norm , weighted_inf_norm ) , <EOL> ( parameter , parameter - step * parameter_delta ) , <EOL> ] </s>
