CELU

class torch.nn.CELU(alpha=1.0, inplace=False)

Applies the CELU function element-wise.

\[\text{CELU}(x) = \max(0,x) + \min(0, \alpha * (\exp(x/\alpha) - 1)) \]

More details can be found in the paper Continuously Differentiable Exponential Linear Units .

Parameters:

• alpha (float) – the \(\alpha\) value for the CELU formulation. Default: 1.0

• 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.CELU()
>>> input = torch.randn(2)
>>> output = m(input)