`torch`

has no equivalent implementation of `np.random.choice()`

, see the discussion here. The alternative is indexing with a shuffled index or random integers.

## To do it *with* replacement:

- Generate
*n*random indices - Index your original tensor with these indices

```
pictures[torch.randint(len(pictures), (10,))]
```

## To do it *without* replacement:

- Shuffle the index
- Take the
*n*first elements

```
indices = torch.randperm(len(pictures))[:10]
pictures[indices]
```

Read more about `torch.randint`

and `torch.randperm`

. Second code snippet is inspired by this post in PyTorch Forums.