# tensorplay.functional.heaviside

Source: https://www.tensorplay.cn/docs/generated/tensorplay.functional.heaviside.html

```python
tensorplay.functional.heaviside(input, values, *, out=None) → Tensor
```

Computes the Heaviside step function for each element in input.
The Heaviside step function is defined as:

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

Parameters:

- input ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor)) – the input tensor.

- values ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor)) – The values to use where input is zero.

Keyword Arguments:

out ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor), optional) – the output tensor.

Example:

```
>>> input = tensorplay.tensor([-1.5, 0, 2.0])
>>> values = tensorplay.tensor([0.5])
>>> tensorplay.heaviside(input, values)
tensor([0.0000, 0.5000, 1.0000])
>>> values = tensorplay.tensor([1.2, -2.0, 3.5])
>>> tensorplay.heaviside(input, values)
tensor([0., -2., 1.])
```