# CyclingIterator

Source: https://www.tensorplay.cn/docs/generated/tensorplay.distributed.elastic.utils.data.CyclingIterator.html

```python
class tensorplay.distributed.elastic.utils.data.CyclingIterator(*args, start_epoch: int = 0, n: int | None = None, generator_fn=None)
```

Wrap a finite iterable into an endless one.

Each cycle increments epoch; the underlying iterable is re-materialized
through its factory (or by calling iter on it again when it supports
that) so per-epoch shuffling keeps working.

```python
property epoch: int
```

Epoch number of the data currently being produced.