CELU¶

class torch.nn.CELU(alpha: float = 1.0, inplace: bool = False)[source]¶

Applies the element-wise function:

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

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

Parameters

• alpha – the $\alpha$ value for the CELU formulation. Default: 1.0

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