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