cerebras.modelzoo.data.vision.masked_auto_encoding.config.MAEProcessorConfig#

class cerebras.modelzoo.data.vision.masked_auto_encoding.config.MAEProcessorConfig(batch_size: int = <object object at 0x7f0436677b60>, shuffle: bool = True, shuffle_seed: int = 0, num_workers: int = 0, prefetch_factor: Optional[int] = None, persistent_workers: Optional[bool] = None, image_size: List[int] = <factory>, patch_size: List[int] = <factory>, image_channels: List[int] = <object object at 0x7f0436677b60>, mask_ratio: float = 0.75)[source]#
image_size: List[int]#
patch_size: List[int]#
image_channels: List[int] = <object object>#
mask_ratio: float = 0.75#
batch_size: int = <object object>#

Batch size to be used

num_workers: int = 0#

The number of PyTorch processes used in the dataloader

persistent_workers: Optional[bool] = None#

Whether or not to keep workers persistent between epochs

prefetch_factor: Optional[int] = None#

The number of batches to prefetch in the dataloader

shuffle: bool = True#

Whether or not to shuffle the dataset

shuffle_seed: int = 0#

Seed used for deterministic shuffling