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ReLU6

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

Applies the element-wise function:

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

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

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

Examples:

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

© 2024, PyTorch Contributors
PyTorch has a BSD-style license, as found in the LICENSE file.
https://pytorch.org/docs/1.13/generated/torch.nn.ReLU6.html

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