network_base.py 文件源码

def convb(self, input, k_h, k_w, c_o, stride, name):
        with slim.arg_scope([slim.batch_norm], fused=common.batchnorm_fused):
            output = slim.convolution2d(input, c_o, kernel_size=[k_h, k_w],
                                        stride=stride,
                                        normalizer_fn=slim.batch_norm,
                                        weights_regularizer=tf.contrib.layers.l2_regularizer(common.regularizer_conv),
                                        scope=name)
        return output