Data Sets¶
Currently DeepOBS includes nine different data sets. Each data set inherits from the same base class with the following signature.
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class
deepobs.pytorch.datasets.dataset.DataSet(batch_size)[source]¶ Base class for DeepOBS data sets.
Parameters: batch_size (int) -- The mini-batch size to use. -
_make_train_dataloader()¶ Creates a torch data loader for the training data with batches of size batch_size.
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_make_train_eval_dataloader()[source]¶ Creates a torch data loader for the training evaluation data with batches of size batch_size.
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_make_test_dataloader()[source]¶ Creates a torch data loader for the test data with batches of size batch_size.
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_pin_memory¶ Whether to pin memory for the dataloaders. Defaults to 'False' if 'cuda' is not the current device.
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_num_workers¶ The number of workers used for the dataloaders. It's value is set to the global variable NUM_WORKERS.
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_train_dataloader¶ A torch.utils.data.DataLoader instance that holds the training data.
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_train_eval_dataloader¶ A torch.utils.data.DataLoader instance that holds the training evaluation data.
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_test_dataloader¶ A torch.utils.data.DataLoader instance that holds the test data.
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