basic_resnet.py 文件源码

def conv2d(self, net, num_ker, ker_size, stride):
        net = convolution2d(
            net,
            num_outputs=num_ker,
            kernel_size=[ker_size, ker_size],
            stride=[stride, stride],
            padding='SAME',
            activation_fn=None,
            normalizer_fn=None,
            weights_initializer=variance_scaling_initializer(),
            weights_regularizer=l2_regularizer(FLAGS.weight_decay),
            biases_initializer=tf.zeros_initializer)
        return net