# tensorplay.functional.sgn

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

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

This function is an extension of tensorplay.sign() to complex tensors.
It computes a new tensor whose elements have
the same angles as the corresponding elements of input and
absolute values (i.e. magnitudes) of one for complex tensors and
is equivalent to tensorplay.sign() for non-complex tensors.

$$\begin{split}\text{out}_{i} = \begin{cases}
                0 & |\text{{input}}_i| == 0 \\
                \frac{{\text{{input}}_i}}{|{\text{{input}}_i}|} & \text{otherwise}
                \end{cases}\end{split}$$

Parameters:

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

Keyword Arguments:

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

Example:

```
>>> t = tensorplay.tensor([3+4j, 7-24j, 0, 1+2j])
>>> t.sgn()
tensor([0.6000+0.8000j, 0.2800-0.9600j, 0.0000+0.0000j, 0.4472+0.8944j])
```