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torch.nn.functional.dropout1d

torch.nn.functional.dropout1d(input, p=0.5, training=True, inplace=False)[source][source]

Randomly zero out entire channels (a channel is a 1D feature map).

For example, the jj-th channel of the ii-th sample in the batched input is a 1D tensor input[i,j]\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 Dropout1d 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

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