pytorch CON2D

class torch.nn.Conv2d( in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True) 输入: (N,C_in,L_in) 输出: (N,C_out,L_out) 输入输出的计算方式： L o u t = f l o o r ( ( L i n + 2

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