mindspore.Tensor.hardshrink

Tensor.hardshrink(lambd=0.5)

Apply the Hard Shrink function for tensor. Calculates the output according to the input elements.

The formula is defined as follows:

$$\begin{array}{r}\text{HardShrink}(x)=\{\begin{array}{ll}x,& \text{ if }x>\lambda \\ x,& \text{ if }x<-\lambda \\ 0,& \text{ otherwise }\end{array}\end{array}$$

Parameters

lambd (float) – The threshold $\lambda$ defined by the Hard Shrink formula. Default: 0.5.

Returns

Tensor, has the same shape and data type as self.

Raises

• TypeError – If lambd is not a float.

• TypeError – If dtype of the input tensor is neither float16 nor float32.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import numpy as np
>>> import mindspore as ms
>>> from mindspore import Tensor
>>> x = Tensor(np.array([[0.5,  1,  2.0], [0.0533, 0.0776, -2.1233]]), ms.float32)
>>> print(x.hardshrink())
[[ 0.      1.      2.    ]
[ 0.      0.     -2.1233]]