mindspore.nn.LeakyReLU

class mindspore.nn.LeakyReLU(alpha=0.2)[source]

Leaky ReLU activation function.

LeakyReLU is similar to ReLU, but LeakyReLU has a slope that makes it not equal to 0 at x < 0. The activation function is defined as:

\[\text{leaky_relu}(x) = \begin{cases}x, &\text{if } x \geq 0; \cr \text{alpha} * x, &\text{otherwise.}\end{cases}\]

See https://ai.stanford.edu/~amaas/papers/relu_hybrid_icml2013_final.pdf

Parameters: alpha (Union[int, float]) – Slope of the activation function at x < 0. Default: 0.2.

Inputs:

x (Tensor) - The input of LeakyReLU. The shape is \((N,*)\) where \(*\) means, any number of additional dimensions.

Outputs:

Tensor, has the same type and shape as the x.

Raises: TypeError – If alpha is not a float or an int.

Supported Platforms:: Ascend GPU CPU

Examples

>>> x = Tensor(np.array([[-1.0, 4.0, -8.0], [2.0, -5.0, 9.0]]), mindspore.float32)
>>> leaky_relu = nn.LeakyReLU()
>>> output = leaky_relu(x)
>>> print(output)
[[-0.2  4.  -1.6]
 [ 2.  -1.   9. ]]