nnf_conv1d {torch}

Conv1d

Description

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

Usage

nnf_conv1d(
  input,
  weight,
  bias = NULL,
  stride = 1,
  padding = 0,
  dilation = 1,
  groups = 1
)

Arguments

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