conv_transpose2d¶

dragon.vm.torch.nn.functional.conv_transpose2d(
  input,
  weight,
  bias=None,
  stride=1,
  padding=0,
  output_padding=0,
  groups=1,
  dilation=1
)[source]¶

Apply the 2d deconvolution to input.

Parameters:

• input (dragon.vm.torch.Tensor) – The input tensor.
• weight (dragon.vm.torch.Tensor) – The weight tensor.
• bias (dragon.vm.torch.Tensor, optional) – The bias tensor.
• stride (Union[int, Sequence[int]], optional, default=1) – The stride of convolution window.
• padding (Union[int, Sequence[int]], optional, default=0) – The zero padding size.
• output_padding (int, optional, default=1) – The additional size added to the output shape.
• groups (int, optional, default=1) – The number of groups to split input channels.
• dilation (Union[int, Sequence[int]], optional, default=1) – The rate of dilated kernel.

Returns:

dragon.vm.torch.Tensor – The output tensor.

See also

torch.nn.ConvTranspose2d(…)