:orphan:



.. _sphx_glr_tutorials:

Tutorials
=========



.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Introduction ------------">

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 .. figure:: /tutorials/images/thumb/sphx_glr_pruning_speed_up_thumb.png
     :alt: Speed Up Model with Mask

     :ref:`sphx_glr_tutorials_pruning_speed_up.py`

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    </div>


.. toctree::
   :hidden:

   /tutorials/pruning_speed_up

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    <div class="sphx-glr-thumbcontainer" tooltip="Start and Manage a New Experiment">

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 .. figure:: /tutorials/images/thumb/sphx_glr_nni_experiment_thumb.png
     :alt: Start and Manage a New Experiment

     :ref:`sphx_glr_tutorials_nni_experiment.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /tutorials/nni_experiment

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    <div class="sphx-glr-thumbcontainer" tooltip="Model pruning is a technique to reduce the model size and computation by reducing model weight ...">

.. only:: html

 .. figure:: /tutorials/images/thumb/sphx_glr_pruning_quick_start_mnist_thumb.png
     :alt: Pruning Quickstart

     :ref:`sphx_glr_tutorials_pruning_quick_start_mnist.py`

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    </div>


.. toctree::
   :hidden:

   /tutorials/pruning_quick_start_mnist

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Quantization reduces model size and speeds up inference time by reducing the number of bits req...">

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 .. figure:: /tutorials/images/thumb/sphx_glr_quantization_quick_start_mnist_thumb.png
     :alt: Quantization Quickstart

     :ref:`sphx_glr_tutorials_quantization_quick_start_mnist.py`

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    </div>


.. toctree::
   :hidden:

   /tutorials/quantization_quick_start_mnist

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip=" Introduction ------------">

.. only:: html

 .. figure:: /tutorials/images/thumb/sphx_glr_quantization_speed_up_thumb.png
     :alt: Speed Up Model with Calibration Config

     :ref:`sphx_glr_tutorials_quantization_speed_up.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /tutorials/quantization_speed_up

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="In this tutorial, we show how to use NAS Benchmarks as datasets. For research purposes we somet...">

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 .. figure:: /tutorials/images/thumb/sphx_glr_nasbench_as_dataset_thumb.png
     :alt: Use NAS Benchmarks as Datasets

     :ref:`sphx_glr_tutorials_nasbench_as_dataset.py`

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    </div>


.. toctree::
   :hidden:

   /tutorials/nasbench_as_dataset

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This is the 101 tutorial of Neural Architecture Search (NAS) on NNI. In this tutorial, we will ...">

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 .. figure:: /tutorials/images/thumb/sphx_glr_hello_nas_thumb.png
     :alt: Hello, NAS!

     :ref:`sphx_glr_tutorials_hello_nas.py`

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /tutorials/hello_nas
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    <div class="sphx-glr-clear"></div>



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 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_