mindspore.mint.nn.functional.hardswish

mindspore.mint.nn.functional.hardswish(input)

Hard Swish activation function. The input is a Tensor with any valid shape.

Hard swish is defined as:

$$\begin{array}{r}\text{HardSwish}(input)=\{\begin{array}{ll}0,& \text{ if }input\le -3,\\ input,& \text{ if }input\ge +3,\\ input\ast (input+3)/6,& \text{ otherwise }\end{array}\end{array}$$

HardSwish Activation Function Graph:

Parameters

input (Tensor) – The input Tensor.

Returns

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

Raises

• TypeError – If input is not a Tensor.

• TypeError – If input is neither int nor float.

Supported Platforms:

Ascend

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, mint
>>> input = Tensor(np.array([-1, -2, 0, 2, 1]), mindspore.float16)
>>> output = mint.nn.functional.hardswish(input)
>>> print(output)
[-0.3333  -0.3333  0  1.667  0.6665]