在课程代码的resnet.py中，

def make_layer(self, block, channels, num_blocks, stride):
	strides = [stride] + [1] * (num_blocks - 1)   # strides=[1,1]
	layers = []
	for stride in strides:
	    layers.append(block(self.inchannel, channels, stride))
	    self.inchannel = channels
	return nn.Sequential(*layers)

resnetV1.py

 def make_layer(self, block, out_channel, stride, num_block):
     layers_list = []
     for i in range(num_block):
         if i == 0:
             in_stride = stride
         else:
             in_stride = 1
         layers_list.append(
             block(self.in_channel,
                   out_channel,
                   in_stride))
         self.in_channel = out_channel

     return nn.Sequential(*layers_list)

请问这里的stride为什么要这样计算？这两种方法对应的stride计算为什么不一样？最后影响的结果有什么区别？希望有图能帮我说明一下。谢谢。