mindspore.nn.HSigmoid

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class mindspore.nn.HSigmoid[source]

Applies the Hard Sigmoid activation function element-wise.

Hard Sigmoid is defined as:

\[\begin{split}\text{HSigmoid}(input) = \begin{cases} 0, & \text{ if } input \leq -3, \\ 1, & \text{ if } input \geq +3, \\ input/6 + 1/2, & \text{ otherwise } \end{cases}\end{split}\]

HSigmoid Activation Function Graph:

../../_images/HSigmoid.png
Inputs:

  • input (Tensor) - The input tensor to be processed by Hard Sigmoid.

Outputs:

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

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> input = mindspore.tensor(np.array([-1, -2, 0, 2, 1]), mindspore.float16)
>>> hsigmoid = mindspore.nn.HSigmoid()
>>> result = hsigmoid(input)
>>> print(result)
[0.3333 0.1666 0.5    0.8335 0.6665]