dataeval.config¶

Global configuration settings for DataEval.

Classes¶

`GlobalConfig`	Global configuration for DataEval runtime settings.

`get_batch_size`([override])	Returns the batch size to use.
`get_device`([override])	Returns the PyTorch device to use.
`get_max_processes`()	Returns the maximum number of worker processes to use when running tasks that support parallel processing.
`get_seed`()	Returns the seed for random state or seed.
`set_batch_size`(batch_size)	Sets the default batch size to use when processing data.
`set_device`(device)	Sets the default device to use when executing against a PyTorch backend.
`set_max_processes`(processes)	Sets the maximum number of worker processes to use when running tasks that support parallel processing.
`set_seed`(seed[, all_generators])	Sets the seed for use by classes that allow for a random state or seed.
`use_batch_size`(batch_size)	Context manager to temporarily override the default batch size.
`use_device`(device)	Context manager to temporarily override the default device.
`use_max_processes`(processes)	Context manager to temporarily override the maximum number of processes.