- torch.nn.functional.dropout2d(input, p=0.5, training=True, inplace=False)¶
Randomly zero out entire channels (a channel is a 2D feature map).
For example, 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
pusing samples from a Bernoulli distribution.