| __init__(self, in_channels, out_channels, kernel_size, stride=1, padding=0, output_padding=0, groups=1, bias=True, dilation=1, padding_mode='zeros') (defined in torch.nn.modules.conv.ConvTranspose2d) | torch.nn.modules.conv.ConvTranspose2d |  | 
  | __init__(self, in_channels, out_channels, kernel_size, stride, padding, dilation, transposed, output_padding, groups, bias, padding_mode) (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd |  | 
  | bias (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd |  | 
  | dilation (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd |  | 
  | extra_repr(self) (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd |  | 
  | forward(self, input, output_size=None) (defined in torch.nn.modules.conv.ConvTranspose2d) | torch.nn.modules.conv.ConvTranspose2d |  | 
  | groups (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd |  | 
  | in_channels (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd |  | 
  | kernel_size (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd |  | 
  | out_channels (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd |  | 
  | output_padding (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd |  | 
  | padding (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd |  | 
  | padding_mode (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd |  | 
  | reset_parameters(self) (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd |  | 
  | stride (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd |  | 
  | transposed (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd |  | 
  | weight (defined in torch.nn.modules.conv._ConvNd) | torch.nn.modules.conv._ConvNd |  |