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class paddle.io. ChainDataset ( datasets: list[paddle.io.dataloader.dataset.IterableDataset[Any]] ) [source]

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A Dataset which chains multiple iterable-style datasets.

This dataset is used for assembling multiple datasets which should be IterableDataset.

Parameters

datasets (list of IterableDatasets) – List of datasets to be chainned.

Returns

A Dataset which chains fields of multiple datasets.

Return type

paddle.io.IterableDataset

Examples

>>> import numpy as np
>>> import paddle
>>> from paddle.io import IterableDataset, ChainDataset


>>> # define a random dataset
>>> class RandomDataset(IterableDataset):  # type: ignore[type-arg]
...     def __init__(self, num_samples):
...         self.num_samples = num_samples
...
...     def __iter__(self):
...         for i in range(10):
...             image = np.random.random([32]).astype('float32')
...             label = np.random.randint(0, 9, (1, )).astype('int64')
...             yield image, label
...
>>> dataset = ChainDataset([RandomDataset(10), RandomDataset(10)])
>>> for image, label in iter(dataset):
...     # do something
...     ...