mindspore.dataset.SubsetRandomSampler

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class mindspore.dataset.SubsetRandomSampler(indices, num_samples=None)[source]

Samples the elements randomly from a sequence of indices.

Parameters:

  • indices (Iterable) – A sequence of indices (Any iterable Python object but string).

  • num_samples (int, optional) – Number of elements to sample. Used to partially extract samples obtained through sampling. Default: None , which means sample all elements.

Raises:

  • TypeError – If elements of indices are not of type number.

  • TypeError – If num_samples is not of type int.

  • ValueError – If num_samples is a negative value.

Examples

>>> import mindspore.dataset as ds
>>> indices = [0, 1, 2, 3, 7, 88, 119]
>>>
>>> # create a SubsetRandomSampler, will sample from the provided indices
>>> sampler = ds.SubsetRandomSampler(indices)
>>> data = ds.ImageFolderDataset(image_folder_dataset_dir, num_parallel_workers=8, sampler=sampler)