# tensorplay.functional.fliplr

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

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

Flip tensor in the left/right direction, returning a new tensor.

Flip the entries in each row in the left/right direction.
Columns are preserved, but appear in a different order than before.

> **Note**
>
> Requires the tensor to be at least 2-D.

> **Note**
>
> tensorplay.fliplr makes a copy of input’s data. This is different from NumPy’s np.fliplr, which returns a view in constant time. Since copying a tensor’s data is more work than viewing that data, tensorplay.fliplr is expected to be slower than np.fliplr.

Parameters:

input ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor)) – Must be at least 2-dimensional.

Example:

```
>>> x = tensorplay.arange(4).view(2, 2)
>>> x
tensor([[0, 1],
        [2, 3]])
>>> tensorplay.fliplr(x)
tensor([[1, 0],
        [3, 2]])
```