ReLU6# class torch.nn.ReLU6(inplace=False)[source]# Applies the ReLU6 function element-wise. ReLU6(x)=min(max(0,x),6)\text{ReLU6}(x) = \min(\max(0,x), 6) 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. Examples: >>> m = nn.ReLU6() >>> input = torch.randn(2) >>> output = m(input) extra_repr()[source]# Return the extra representation of the module. Return type str
