FakeDataset¶

class olympus.datasets.fake.FakeDataset(input_shape, target_shape, train_size=1024, valid_size=128, test_size=128, data_path=None)[source]¶

Bases: olympus.datasets.dataset.AllDataset

Generate random tensors as input data

Attributes:	`classes` Return the mapping between samples index and their class collate_fn dataset `input_shape` Return the size of the samples `target_shape` Return the size of the target `test_size` Size of the test set `train_size` Size of the training set `valid_size` Size of the validation set

Methods

`categories`()	Dataset tags so we can filter what we want depending on the task
`transforms`()

register_datapipe_as_function
register_function

olympus.datasets.fake.default_transform()[source]¶