RandomSampler

class tensorplay.utils.data.RandomSampler(data_source: Sized, replacement: bool = False, num_samples: int | None = None, generator: Generator | None = None)[source]

Samples elements randomly. If without replacement, then sample from a shuffled dataset. If with replacement, then user can specify num_samples to draw.

Parameters:

• data_source (Sized) – data source to sample from. Must implement __len__.

• replacement (bool) – samples are drawn on-demand with replacement if True, default=``False``.

• num_samples (int) – number of samples to draw, default=`len(dataset)`.

• generator (Generator) – Generator used in sampling.