# RandomSampler

Source: https://www.tensorplay.cn/docs/generated/tensorplay.utils.data.RandomSampler.html

```python
class tensorplay.utils.data.RandomSampler(data_source: Sized, replacement: bool = False, num_samples: int | None = None, generator: Generator | None = None)
```

Samples elements randomly. If without replacement, then sample from a
shuffled dataset. If with replacement, then user can specify
num_samples to draw.

Parameters:

- data_source (Sized) – data source to sample from. Must implement __len__.

- replacement ([bool](https://docs.python.org/3/builtins/functions.html#bool)) – samples are drawn on-demand with replacement if True, default=``False``.

- num_samples ([int](https://docs.python.org/3/builtins/functions.html#int)) – number of samples to draw, default=`len(dataset)`.

- generator ([Generator](/docs/generated/tensorplay.Generator.html#tensorplay.Generator)) – Generator used in sampling.