# tensorplay.functional.resolve_neg

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

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

Returns a new tensor with materialized negation if input’s negative bit is set to True,
else returns input. The output tensor will always have its negative 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()
>>> z = y.imag
>>> z.is_neg()
True
>>> out = z.resolve_neg()
>>> out
tensor([-1., -2., 3.])
>>> out.is_neg()
False
```