Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

nnf_conv3d

Conv3d

Description

Applies a 3D convolution over an input image composed of several input planes.

Usage

nnf_conv3d(
  input,
  weight,
  bias = NULL,
  stride = 1,
  padding = 0,
  dilation = 1,
  groups = 1
)

Arguments

input

input tensor of shape (minibatch, in_channels , iT , iH , iW)
weight

filters of shape (out_channels , in_channels/groups, kT , kH , kW)
bias

optional bias tensor of shape (out_channels). Default: NULL
stride

the stride of the convolving kernel. Can be a single number or a tuple (sT, sH, sW). Default: 1
padding

implicit paddings on both sides of the input. Can be a single number or a tuple (padT, padH, padW). Default: 0
dilation

the spacing between kernel elements. Can be a single number or a tuple (dT, dH, 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

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.