DataLoader

class DataLoader(inputs: numpy.ndarray, targets: numpy.ndarray, batch_size: int = 32, shuffle: bool = True)

Bases: bluebird.dataloader.dataloaderbase.DataLoaderBase

__init__(inputs: numpy.ndarray, targets: numpy.ndarray, batch_size: int = 32, shuffle: bool = True)

Initalizes the object.

Parameters

• inputs (Tensor) – inputs (data that passes throughout the network)

• targets (Tensor) – target data

• batch_size (int) – length of every batch size, defaults to 32

• shuffle (bool) – shuffles data if true, defaults to True

Methods

__init__(inputs, targets[, batch_size, shuffle])

Initalizes the object.