# tensorplay.functional.resolve_conj

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

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

Returns a new tensor with materialized conjugation if input’s conjugate bit is set to True,
else returns input. The output tensor will always have its conjugate bit set to False.

Parameters:

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

Example:

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