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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