:py:mod:`neural_compressor.data.dataloaders.base_dataloader`
============================================================

.. py:module:: neural_compressor.data.dataloaders.base_dataloader

.. autoapi-nested-parse::

   BaseDataloder of all dataloaders.



Module Contents
---------------

Classes
~~~~~~~

.. autoapisummary::

   neural_compressor.data.dataloaders.base_dataloader.BaseDataLoader




.. py:class:: BaseDataLoader(dataset, batch_size=1, last_batch='rollover', collate_fn=None, sampler=None, batch_sampler=None, num_workers=0, pin_memory=False, shuffle=False, distributed=False)


   Base class for all DataLoaders.

   _generate_dataloader is needed to create a dataloader object
   from the general params like batch_size and sampler. The dynamic batching is just to
   generate a new dataloader by setting batch_size and last_batch.