Pytorch Conv2d

参数：

Args:

in_channels (int): Number of channels in the input image

out_channels (int): Number of channels produced by the convolution

kernel_size (int or tuple): Size of the convolving kernel

stride (int or tuple, optional): Stride of the convolution. Default: 1

padding (int or tuple, optional): Zero-padding added to both sides of the input. Default: 0

dilation (int or tuple, optional): Spacing between kernel elements. Default: 1

groups (int, optional): Number of blocked connections from input channels to output channels. Default: 1

bias (bool, optional): If

True

, adds a learnable bias to the output. Default:

True

in_channels (int): 输入通道

out_channels (int): 输出通过

kernel_size (int or tuple): 卷积核（滤波器）的大小

stride (int or tuple, optional): 步长，可以是整数，也可以是tuple

padding (int or tuple, optional): 周围补零Default: 0

dilation (int or tuple, optional): Spacing between kernel elements. Default: 1（不懂）

groups (int, optional): Number of blocked connections from input channels to output channels. Default: 1(不懂)

bias (bool, optional): If

True

True

(偏差)