:py:mod:`neural_compressor.experimental.data.datasets.imagenet_dataset`
=======================================================================

.. py:module:: neural_compressor.experimental.data.datasets.imagenet_dataset

.. autoapi-nested-parse::

   Dataset for ImageNet data generation on multiple framework backends.



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

Classes
~~~~~~~

.. autoapisummary::

   neural_compressor.experimental.data.datasets.imagenet_dataset.ImagenetRaw
   neural_compressor.experimental.data.datasets.imagenet_dataset.PytorchImagenetRaw
   neural_compressor.experimental.data.datasets.imagenet_dataset.MXNetImagenetRaw
   neural_compressor.experimental.data.datasets.imagenet_dataset.TensorflowImagenetRaw
   neural_compressor.experimental.data.datasets.imagenet_dataset.TensorflowImagenetDataset
   neural_compressor.experimental.data.datasets.imagenet_dataset.ONNXRTImagenetDataset




.. py:class:: ImagenetRaw(data_path, image_list, transform=None, filter=None)




   Configuration for ImageNet raw dataset.

   Please arrange data in this way:
       data_path/img1.jpg
       data_path/img2.jpg
       ...
       data_path/imgx.jpg
   dataset will read name and label of each image from image_list file,
   if user set image_list to None, it will read from data_path/val_map.txt automatically.


.. py:class:: PytorchImagenetRaw(data_path, image_list, transform=None, filter=None)




   Dataset for ImageNet data generation on pytorch backend.


.. py:class:: MXNetImagenetRaw(data_path, image_list, transform=None, filter=None)




   Dataset for ImageNet data generation on mxnet backend.


.. py:class:: TensorflowImagenetRaw(data_path, image_list, transform=None, filter=None)




   Dataset for ImageNet data generation on tensorflow/inteltensorflow/tensorflow_itex backend.


.. py:class:: TensorflowImagenetDataset




   Configuration for Imagenet dataset.


.. py:class:: ONNXRTImagenetDataset(root, subset='val', num_cores=28, transform=None, filter=None)




   Configuration for Imagenet dataset.