ReLU6

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

Applies the element-wise function:

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

Parameters

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

Shape:

• Input: $(N, *)$ where * means, any number of additional dimensions

• Output: $(N, *)$ , same shape as the input

Examples:

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