conv = nn.Conv1d(in_channel\, out_channel\, groups=1\, bias=True\, ,Conv2d(in_channel\, out_channel\, groups=1\, bias=True\, ,Conv3d(in_channel\, out_channel\, groups=1\, bias=True\, ,ConvTranspose1d(in_channel\, out_channel\, groups=1\, bias=True\, out_padding=0\, dilation=1\, ,ConvTranspose2d/in_channel\, out_channel\, groups=1\, bias=True\, out_padding=0\, dilation=1\, ,ConvTranspose3d(in_channel\, out_channel\, groups=1\, bias=True\, out_padding=0\, dilation=1\, ,Unfold(dilation=1\, ,Fold(output_size\, kernel_size=2, padding=0, stride=1)
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      Convolution Layer

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      lucycodes42
      Pytorch Public Recipes

      Library: pytorch

      Shortcut: pytorch.layer.conv

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