# tensorplay.functional.conj

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

```python
tensorplay.functional.conj(input) → Tensor
```

Returns a view of input with a flipped conjugate bit. If input has a non-complex dtype,
this function just returns input.

> **Note**
>
> tensorplay.conj() performs a lazy conjugation, but the actual conjugated tensor can be materialized at any time using tensorplay.resolve_conj().

> **Warning**
>
> In the future, tensorplay.conj() may return a non-writeable view for an input of non-complex dtype. It’s recommended that programs not modify the tensor returned by tensorplay.conj_physical() when input is of non-complex dtype to be compatible with this change.

Parameters:

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

Example:

```
>>> x = tensorplay.tensor([-1 + 1j, -2 + 2j, 3 - 3j])
>>> x.is_conj()
False
>>> y = tensorplay.conj(x)
>>> y.is_conj()
True
```