mindspore.ops.heaviside

mindspore.ops.heaviside(input, values)

Computes the Heaviside step function for each element in input.

$$\begin{array}{r}\text{ heaviside }(\text{ input, values })=\{\begin{array}{ll}0,& \text{ if input }<0\\ \text{ values, }& \text{ if input }=0\\ 1,& \text{ if input }>0\end{array}\end{array}$$

Parameters

• input (Tensor) – The input tensor. With real number data type.

• values (Tensor) – The values to use where input is zero. Values can be broadcast with input . input should have the same dtype with values .

Returns

Tensor, has the same type as input and values.

Raises

• TypeError – If input or values is not Tensor.

• TypeError – If data type input and values is different.

• ValueError – If shape of two inputs are not broadcastable.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> input = Tensor(np.array([-5., 1., 0., 2., 0.]))
>>> values = Tensor(np.array([3.]))
>>> y = ops.heaviside(input, values)
>>> print(y)
[0. 1. 3. 1. 3.]