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mindspore.nn.CELU

View Source On Gitee
class mindspore.nn.CELU(alpha=1.0)[source]

CELU Activation Operator.

Applies the continuously differentiable exponential linear units function element-wise.

CELU(x)=max(0,x)+min(0,α(exp(x/α)1))

For more details, refer to CELU .

CELU Activation Function Graph:

../../_images/CELU.png
Parameters

alpha (float) – The α value for the Celu formulation. Default: 1.0 .

Inputs:
  • x (Tensor) - The input of CELU. The required dtype is float16 or float32. The shape is (N,) where means, any number of additional dimensions.

Outputs:

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

Raises
Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> from mindspore import Tensor, nn
>>> import numpy as np
>>> x = Tensor(np.array([-2.0, -1.0, 1.0, 2.0]), mindspore.float32)
>>> celu = nn.CELU()
>>> output = celu(x)
>>> print(output)
[-0.86466473 -0.63212055  1.          2.        ]