mindspore.mint.nn.ELU

class mindspore.mint.nn.ELU(alpha=1.0)[source]

Exponential Linear Unit activation function

Applies the exponential linear unit function element-wise.The activation function is defined as:

\[ELU_{i} = \begin{cases} x_i, &\text{if } x_i \geq 0; \cr \alpha * (\exp(x_i) - 1), &\text{otherwise.} \end{cases}\]

where \(x_i\) represents the element of the input and \(\alpha\) represents the alpha parameter.

ELU Activation Function Graph:

Warning

This is an experimental API that is subject to change or deletion.

Parameters: alpha (float, optional) – The alpha value of ELU, the data type is float. Default: 1.0 .

Inputs:

input (Tensor) - The input of ELU is a Tensor of any dimension.

Outputs:

Tensor, with the same type and shape as the input.

Raises: TypeError – If alpha is not a float.

Supported Platforms:: Ascend

Examples

>>> import mindspore
>>> from mindspore import Tensor, mint
>>> import numpy as np
>>> input = Tensor(np.array([-1, -2, 0, 2, 1]), mindspore.float32)
>>> elu = mint.nn.ELU()
>>> result = elu(input)
>>> print(result)
[-0.63212055  -0.86466473  0.  2.  1.]