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  
load_state_dict(self, state_dict)[source]
state_dict(self)[source]
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