CELU#

classtorch.nn.modules.activation.CELU(alpha=1.0,inplace=False)[source]#

Applies the CELU function element-wise.

$$\text{CELU}(x)=\max (0,x)+\min (0,\alpha \ast (\exp (x\mathrm{/}\alpha )-1))$$CELU(x)=max(0,x)+min(0,α∗(exp(x/α)−1))

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

Parameters

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

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

Shape:

• Input:$(\ast )$(∗), where$\ast$∗ means any number of dimensions.

• Output:$(\ast )$(∗), same shape as the input.

Examples:

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

extra_repr()[source]#

Return the extra representation of the module.

Return type

str

forward(input)[source]#

Runs the forward pass.

Return type

Tensor