ChainDataset¶
- class paddle.io. ChainDataset ( datasets ) [source]
-
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): 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): print(image, label)