torch.nn.Conv2d(in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, b

torch.nn.Conv2d(in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True, padding_mode=‘zeros’) 卷积核与原图按照左上角对齐的原则进行卷积操作 stride：步幅，卷积核两次卷积左上角点之间的距离；通俗讲就是卷积核每隔几个像素进行一次

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