torch.nn.functional.dropout# torch.nn.functional.dropout(input, p=0.5, training=True, inplace=False)[source]# During training, randomly zeroes some elements of the input tensor with probability p. Uses samples from a Bernoulli distribution. See Dropout for details. Parameters p (float) – probability of an element 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
torch.nn.functional.dropout# torch.nn.functional.dropout(input, p=0.5, training=True, inplace=False)[source]# During training, randomly zeroes some elements of the input tensor with probability p. Uses samples from a Bernoulli distribution. See Dropout for details. Parameters p (float) – probability of an element 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