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nnf_conv1d

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
torch

Tensors and Neural Networks with 'GPU' Acceleration

v0.3.0
MIT + file LICENSE
Authors
Daniel Falbel [aut, cre, cph], Javier Luraschi [aut], Dmitriy Selivanov [ctb], Athos Damiani [ctb], Christophe Regouby [ctb], Krzysztof Joachimiak [ctb], RStudio [cph]
Initial release

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