mindspore.dataset.SequentialSampler

class mindspore.dataset.SequentialSampler(start_index=None, num_samples=None)

Samples the dataset elements sequentially that is equivalent to not using a sampler.

Parameters:

• start_index (int, optional) – Index to start sampling at. Default: None , start at first ID.

• num_samples (int, optional) – Number of elements to sample. Default: None , which means sample all elements.

Raises:

• TypeError – If start_index is not of type int.

• TypeError – If num_samples is not of type int.

• RuntimeError – If start_index is a negative value.

• ValueError – If num_samples is a negative value.

Examples

>>> import mindspore.dataset as ds
>>> # creates a SequentialSampler
>>> sampler = ds.SequentialSampler()
>>> dataset = ds.ImageFolderDataset(image_folder_dataset_dir,
...                                 num_parallel_workers=8,
...                                 sampler=sampler)