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mindspore.nn.Tanhshrink

class mindspore.nn.Tanhshrink

Applies Tanhshrink activation function element-wise and returns a new tensor.

Tanh function is defined as:

$$tanhshrink(x_i)=x_i-\frac{\exp (x_i)-\exp (-x_i)}{\exp (x_i)+\exp (-x_i)}=x_i-\frac{\exp (2x_i)-1}{\exp (2x_i)+1},$$

where $x_i$ is an element of the input Tensor.

Inputs:

• x (Tensor) - Tensor of any dimension.

Outputs:

Tensor, with the same shape as the x.

Raises

TypeError – If x is not a Tensor.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore as ms
>>> from mindspore import Tensor, nn
>>> import numpy as np
>>> x = Tensor(np.array([1, 2, 3, 2, 1]), ms.float16)
>>> tanhshrink = nn.Tanhshrink()
>>> output = tanhshrink(x)
>>> print(output)
[0.2383 1.036  2.004  1.036  0.2383]