# torch.nn.functional.dropout3d¶

torch.nn.functional.dropout3d(input, p=0.5, training=True, inplace=False)[source]

Randomly zero out entire channels (a channel is a 3D feature map, e.g., the $j$-th channel of the $i$-th sample in the batched input is a 3D 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 Dropout3d for details.

Parameters
• 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