Conv_transpose1d — nnf_conv_transpose1d • torch

Applies a 1D transposed convolution operator over an input signal composed of several input planes, sometimes also called "deconvolution".

Usage

nnf_conv_transpose1d(
  input,
  weight,
  bias = NULL,
  stride = 1,
  padding = 0,
  output_padding = 0,
  groups = 1,
  dilation = 1
)

input: input tensor of shape (minibatch, in_channels , iW)
weight: filters of shape (out_channels, in_channels/groups , kW)
bias: optional bias of shape (out_channels). Default: NULL
stride: the stride of the convolving kernel. Can be a single number or a one-element tuple (sW,). Default: 1
padding: implicit paddings on both sides of the input. Can be a single number or a one-element tuple (padW,). Default: 0
output_padding: padding applied to the output
groups: split input into groups, in_channels should be divisible by the number of groups. Default: 1
dilation: the spacing between kernel elements. Can be a single number or a one-element tuple (dW,). Default: 1