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ReLU6

class torch.nn.ReLU6(inplace: bool = False) [source]

Applies the element-wise function:

ReLU6(x)=min(max(0,x),6)\text{ReLU6}(x) = \min(\max(0,x), 6)
Parameters

inplace – can optionally do the operation in-place. Default: False

Shape:
  • Input: (N,)(N, *) where * means, any number of additional dimensions
  • Output: (N,)(N, *) , same shape as the input
../_images/ReLU6.png

Examples:

>>> m = nn.ReLU6()
>>> input = torch.randn(2)
>>> output = m(input)

© 2019 Torch Contributors
Licensed under the 3-clause BSD License.
https://pytorch.org/docs/1.7.0/generated/torch.nn.ReLU6.html