Extend¶
The following tutorials will help you learn how to customize MXNet.
Custom Layers for Gluon../packages/gluon/blocks/custom-layer.html
How to add new layer functionality to MXNet’s imperative interface.
Custom Loss../packages/gluon/loss/custom-loss.html
A guide to implementing custom losses.
Custom Operators Using Numpycustomop.html
How to use Numpy to create custom MXNet operators.
New Operator Creation/api/faq/new_op
How to create new MXNet operators using CustomOp (Python) or NNVM (C++).
A Beginner’s Guide to Implementing Operators in MXNet Backend/api/faq/add_op_in_backend
How to create new MXNet operators in MXNet’s backend using C++. An example custom quadratic function op.
Using runtime compilation (RTC) to write CUDA kernels in MXNet/api/faq/using_rtc
How to write CUDA kernels in MXNet using runtime compilation.
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