torch.nn.functional.dropout2d

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 $j$-th channel of the $i$-th sample in the batched input is a 2D tensor $\text{input}[i, j]$ of the input tensor. Each channel will be zeroed out independently on every forward call with probability p using samples from a Bernoulli distribution.

See Dropout2d for details.

Parameters

• p (float) – probability of a channel to be zeroed. Default: 0.5

• training (bool) – apply dropout if is True. Default: True

• inplace (bool) – If set to True, will do this operation in-place. Default: False

Return type

Tensor