builder.py 文件源码

def plain_func(self, name, num_output, up=False, **kwargs):
        self.conv_bn_relu(name+'_conv0', num_output=num_output, stride=1+int(up), **kwargs)
        self.conv_bn_relu(name+'_conv1', num_output=num_output, **kwargs)

    # def orth_loss(self, bottom_name):
    #     # self.Python('orth_loss', 'orthLossLayer', loss_weight=1, bottom=[bottom_name], top=[name], name=name)
    #     # , bottom=[bottom+'_MVN']

    #     # save bottom
    #     mainpath = self.bottom

    #     bottom = bottom_name #'NormLayer', 
    #     # self.MVN(bottom=[bottom])
    #     layer = "TransposeLayer"
    #     layername = bottom_name+'_' + layer
    #     outputs = [layername]#, bottom_name+'_zerolike']
    #     self.Python(layer, layer, top=outputs, bottom=[bottom], name=layername, phase='TRAIN')
    #     self.Matmul()
    #     # layer="diagLayer"
    #     # layername = bottom_name+'_' + layer

    #     # self.Python(layer, layer, top=[layername], name=layername, phase='TRAIN')
    #     outputs = [self.this.name]#, bottom_name+'_zerolike']
    #     self.EuclideanLoss(name=bottom_name+'_euclidean', bottom=outputs, loss_weight=1e-3, phase='TRAIN')

    #     # restore bottom
    #     self.cur = mainpath