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Specifications and Common Mistakes

- Specifications and Common Mistakes:

- Misspellings or punctuation mistakes,incorrect formulas, abnormal display.

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mindspore.ops.Heaviside

class mindspore.ops.Heaviside

Applies the Heaviside step function for input x element-wise.

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

Warning

This is an experimental API that is subject to change or deletion.

Inputs:

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

• values (Tensor) - The values to use where x is zero. It should be able to broadcast with x have the same dtype as x.

Outputs:

Tensor, has the same type as x and values.

Raises

• TypeError – If x or values is not Tensor.

• TypeError – If data type x 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
>>> x = Tensor(np.array([-1.5, 0., 2.]))
>>> values = Tensor(np.array([0.5]))
>>> heaviside = ops.Heaviside()
>>> y = heaviside(x, values)
>>> print(y)
[0.  0.5 1. ]