mindspore.ops.HShrink

class mindspore.ops.HShrink(lambd=0.5)[source]

Hard Shrink activation function.

Refer to mindspore.ops.hardshrink() for more details.

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

Inputs:

input_x (Tensor) - The input of Hard Shrink with data type of float16 or float32.

Outputs:

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

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore as ms
>>> import mindspore.ops as ops
>>> from mindspore import Tensor, nn
>>> import numpy as np
>>> input_x = Tensor(np.array([[0.5,  1,  2.0], [0.0533, 0.0776, -2.1233]]), ms.float32)
>>> hshrink = ops.HShrink()
>>> output = hshrink(input_x)
>>> print(output)
[[ 0.      1.      2.    ]
[ 0.      0.     -2.1233]]