torch.heaviside — PyTorch 2.7 documentation (original) (raw)

torch.heaviside(input, values, *, out=None) → Tensor¶

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

heaviside(input,values)={0,if input < 0values,if input == 01,if input > 0\text{{heaviside}}(input, values) = \begin{cases} 0, & \text{if input < 0}\\ values, & \text{if input == 0}\\ 1, & \text{if input > 0} \end{cases}

Parameters

• input (Tensor) – the input tensor.
• values (Tensor) – The values to use where input is zero.

Keyword Arguments

out (Tensor, optional) – the output tensor.

Example:

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