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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>