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class paddle.nn. ELU ( alpha: float = 1.0, name: Optional[str] = None ) [source]
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ELU Activation.

\[\begin{split}ELU(x)= \left\{ \begin{array}{lcl} x,& &\text{if } \ x > 0 \\ alpha * (e^{x} - 1),& &\text{if } \ x <= 0 \end{array} \right.\end{split}\]
Parameters

  • alpha (float, optional) – The ‘alpha’ value of the ELU formulation. Default is 1.0.

  • name (str|None, optional) – Name for the operation (optional, default is None). For more information, please refer to Name.

Shape:

  • input: Tensor with any shape.

  • output: Tensor with the same shape as input.

Examples

>>> import paddle

>>> x = paddle.to_tensor([[-1. ,6.], [1., 15.6]])
>>> m = paddle.nn.ELU(0.2)
>>> out = m(x)
>>> print(out)
Tensor(shape=[2, 2], dtype=float32, place=Place(cpu), stop_gradient=True,
[[-0.12642412,  6.        ],
 [ 1.        , 15.60000038]])
forward ( x: Tensor ) → Tensor

forward?

Defines the computation performed at every call. Should be overridden by all subclasses.

Parameters

  • *inputs (tuple) – unpacked tuple arguments

  • **kwargs (dict) – unpacked dict arguments

extra_repr ( ) → str

extra_repr?

Extra representation of this layer, you can have custom implementation of your own layer.