Dropout2d
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.
nnf_dropout2d(input, p = 0.5, training = TRUE, inplace = FALSE)
input |
the input tensor |
p |
probability of a channel to be zeroed. Default: 0.5 |
training |
apply dropout if is |
inplace |
If set to |
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