mindspore.dataset.deserialize

mindspore.dataset.deserialize(input_dict=None, json_filepath=None)[source]

Construct a de pipeline from a JSON file produced by de.serialize().

Note

Currently Python function deserialization of map operator are not supported.

Parameters

input_dict (dict) – A Python dictionary containing a serialized dataset graph.
json_filepath (str) – A path to the JSON file.

Returns

de.Dataset or None if error occurs.

Raises

OSError – Can not open the JSON file.

Examples

>>> dataset = ds.MnistDataset(mnist_dataset_dir, 100)
>>> one_hot_encode = c_transforms.OneHot(10)  # num_classes is input argument
>>> dataset = dataset.map(operation=one_hot_encode, input_column_names="label")
>>> dataset = dataset.batch(batch_size=10, drop_remainder=True)
>>> # Use case 1: to/from JSON file
>>> ds.engine.serialize(dataset, json_filepath="/path/to/mnist_dataset_pipeline.json")
>>> dataset = ds.engine.deserialize(json_filepath="/path/to/mnist_dataset_pipeline.json")
>>> # Use case 2: to/from Python dictionary
>>> serialized_data = ds.engine.serialize(dataset)
>>> dataset = ds.engine.deserialize(input_dict=serialized_data)