Samplers¶

class olympus.datasets.sampling.RandomSampler(data_source, seed=None, replacement=False, num_samples=None)[source]¶

Bases: torch.utils.data.sampler.Sampler

Pytorch like Sampler

Methods

load_state_dict
state_dict

class olympus.datasets.sampling.RandomSamplerWithReplacement(data_source, num_samples, seed)[source]¶

Bases: olympus.datasets.sampling._BaseSampler

Methods

load_state_dict
state_dict

class olympus.datasets.sampling.RandomSamplerWithoutReplacement(data_source, seed)[source]¶

Bases: olympus.datasets.sampling._BaseSampler

Permute the list of items

Methods

load_state_dict
state_dict

class olympus.datasets.sampling.SequentialSampler(data_source, seed=None, replacement=False, num_samples=None)[source]¶

Bases: torch.utils.data.sampler.Sampler

Pytorch like Sampler

Methods

load_state_dict
state_dict