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paddle.nn.functional. leaky_relu ( x: Tensor, negative_slope: float = 0.01, name: str | None = None ) → Tensor [source]
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leaky_relu activation. The calculation formula is:

\[\begin{split}leaky\_relu(x)= \left\{ \begin{array}{rcl} x, & & if \ x >= 0 \\ negative\_slope * x, & & otherwise \\ \end{array} \right.\end{split}\]
Parameters

  • x (Tensor) – The input Tensor with data type float32, float64.

  • negative_slope (float, optional) – Slope of the activation function at \(x < 0\) . Default is 0.01.

  • name (str|None, optional) – For details, please refer to Name. Generally, no setting is required. Default: None.

Returns

A Tensor with the same data type and shape as x .

Examples

>>> import paddle
>>> import paddle.nn.functional as F

>>> x = paddle.to_tensor([-2., 0., 1.])
>>> out = F.leaky_relu(x)
>>> print(out)
Tensor(shape=[3], dtype=float32, place=Place(cpu), stop_gradient=True,
[-0.02000000,  0.        ,  1.        ])