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