nnf_conv1d: Conv1d
In torch: Tensors and Neural Networks with 'GPU' Acceleration

nnf_conv1d

R Documentation

Conv1d

Applies a 1D convolution over an input signal composed of several input planes.

nnf_conv1d(
  input,
  weight,
  bias = NULL,
  stride = 1,
  padding = 0,
  dilation = 1,
  groups = 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
`dilation`	the spacing between kernel elements. Can be a single number or a one-element tuple `⁠(dW,)⁠`. Default: 1
`groups`	split input into groups, `in_channels` should be divisible by the number of groups. Default: 1