__init__.py 文件源码

def forward(self,x=None,t=None):
        if x is None:
            x=Tensor.context
        xp = Deel.xp

        volatile = 'off' if Deel.train else 'on'
        h = Variable(np.asarray(x.value,dtype=xp.float32),volatile=volatile)

        self.optimizer.zero_grads()
        for i in range(len(self.layers)):
            h = F.dropout(self.activation(self.layers['l'+str(i)](h)),train=Deel.train)

        h = ChainerTensor(h)
        h.use()

        return h