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updater.py
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updater.py
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#coding:utf-8
import os, sys, time
import numpy as np
import chainer
import chainer.links as L
import chainer.functions as F
class EspcnUpdater(chainer.training.StandardUpdater):
def __init__(self, *args, **kwargs):
self.gen = kwargs.pop('model')
super(EspcnUpdater, self).__init__(*args, **kwargs)
def mse_loss(self, y, t):
loss = F.mean_squared_error(y, t)
return loss
def update_core(self):
gen_optimizer = self.get_optimizer('gen')
batch = self.get_iterator("main").next()#iterator
x, t = self.converter(batch, self.device) #x: input, t: true
gen = self.gen
y = gen(x)
loss_gen = self.mse_loss(y, t)
gen.cleargrads()
loss_gen.backward()
gen_optimizer.update()
chainer.reporter.report({'loss' : loss_gen})