# tensorplay.functional.flipud

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

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

Flip tensor in the up/down direction, returning a new tensor.

Flip the entries in each column in the up/down direction.
Rows are preserved, but appear in a different order than before.

> **Note**
>
> Requires the tensor to be at least 1-D.

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

Parameters:

input ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor)) – Must be at least 1-dimensional.

Example:

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