docs/python_docs/python/tutorials/extend/index.rst - master - githubmirror/incubator-mxnet

docs/python_docs/python/tutorials/extend/index.rst

70 строк2 KB

Przemyslaw Tredak

Use RTC for elementwise and broadcast ops (#18622)

21 авг 2020, 00:14

21 авг 2020, 00:1429d6f27

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     http://www.apache.org/licenses/LICENSE-2.0

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Extend
======

The following tutorials will help you learn how to customize MXNet.

.. container:: cards

   .. card::
      :title: Custom Layers for Gluon
      :link: ../packages/gluon/blocks/custom-layer.html

      How to add new layer functionality to MXNet's imperative interface.

   .. card::
      :title: Custom Loss
      :link: ../packages/gluon/loss/custom-loss.html

      A guide to implementing custom losses.

   .. card::
      :title: Custom Operators Using Numpy
      :link: customop.html

      How to use Numpy to create custom MXNet operators.

   .. card::
      :title: New Operator Creation
      :link: /api/faq/new_op

      How to create new MXNet operators using CustomOp (Python) or NNVM (C++).

   .. card::
      :title: A Beginner’s Guide to Implementing Operators in MXNet Backend
      :link: /api/faq/add_op_in_backend

      How to create new MXNet operators in MXNet's backend using C++.
      An example custom quadratic function op.

   .. card::
      :title: Using runtime compilation (RTC) to write CUDA kernels in MXNet
      :link: /api/faq/using_rtc

      How to write CUDA kernels in MXNet using runtime compilation.


.. toctree::
   :hidden:
   :glob:

   *
   New Operator Creation <https://mxnet.apache.org/api/faq/new_op>
   New Operator in MXNet Backend <https://mxnet.apache.org/api/faq/add_op_in_backend>
   Using RTC for CUDA kernels <https://mxnet.apache.org/api/faq/using_rtc>