nnf_dropout2d: Dropout2d

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

Dropout2d

Description

Randomly zero out entire channels (a channel is a 2D feature map, e.g., the j-th channel of the i-th sample in the batched input is a 2D tensor input[i, j]) of the input tensor). Each channel will be zeroed out independently on every forward call with probability p using samples from a Bernoulli distribution.

Usage

nnf_dropout2d(input, p = 0.5, training = TRUE, inplace = FALSE)

Arguments

input	the input tensor
p	probability of a channel to be zeroed. Default: 0.5
training	apply dropout if is TRUE. Default: TRUE.
inplace	If set to TRUE, will do this operation in-place. Default: FALSE

torch documentation built on Aug. 21, 2025, 5:50 p.m.