mindspore.dataset.Dataset.repeat

Dataset.repeat(count=None)

Repeat this dataset count times. Repeat infinitely if the count is None or -1.

Note

The order of using repeat and batch reflects the number of batches. It is recommended that the repeat operation is used after the batch operation.

Parameters

count (int) – Number of times the dataset is going to be repeated. Default: None.

Returns

Dataset, a new dataset with the above operation applied.

Examples

>>> import mindspore.dataset as ds
>>> dataset = ds.GeneratorDataset([i for i in range(10)], "column1")
>>>
>>> # Create a dataset where the dataset is repeated for 50 epochs
>>> dataset = dataset.repeat(50)
>>>
>>> # Create a dataset where each epoch is shuffled individually
>>> dataset = dataset.shuffle(10)
>>> dataset = dataset.repeat(50)
>>>
>>> # Create a dataset where the dataset is first repeated for
>>> # 50 epochs before shuffling. The shuffle operation will treat
>>> # the entire 50 epochs as one big dataset.
>>> dataset = dataset.repeat(50)
>>> dataset = dataset.shuffle(10)