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.. meta::
:description: MIGraphX provides an optimized execution engine for deep learning neural networks
:keywords: MIGraphX, ROCm, library, API
.. _index:
===========================
MIGraphX documentation
===========================
MIGraphX is a graph inference engine and graph compiler. MIGraphX accelerates machine-learning models by leveraging several graph-level transformations and optimizations. These optimizations include:
* Operator fusion
* Arithmetic simplifications
* Dead-code elimination
* Common subexpression elimination (CSE)
* Constant propagation
After optimization, MIGraphX generates code for AMD GPUs by calling various ROCm libraries to create the fastest combinations of HIP kernels.
The MIGraphX public repository is located at `https://github.com/ROCm/AMDMIGraphX/ <https://github.com/ROCm/AMDMIGraphX/>`_
.. grid:: 2
:gutter: 3
.. grid-item-card:: Install
* :doc:`Installing MIGraphX with the package installer <./install/installing_with_package>`
* :doc:`Building and installing MIGraphX from source code <./install/building_migraphx>`
.. grid-item-card:: Reference
* :doc:`MIGraphX user reference <./reference/MIGraphX-user-reference>`
* :ref:`cpp-api-reference`
* :ref:`python-api-reference`
* :doc:`Supported ONNX Operators <./dev/onnx_operators>`
* :doc:`MIGraphX contributor reference <./reference/MIGraphX-dev-reference>`
* :doc:`Environment variables <./reference/MIGraphX-dev-env-vars>`
* :doc:`Develop for the MIGraphX code base <./dev/contributing-to-migraphx>`
* :ref:`migraphx-driver`
.. grid-item-card:: Examples
* :doc:`MIGraphX examples <./tutorials/MIGraphX-examples>`
To contribute to the documentation refer to
`Contributing to ROCm <https://rocm.docs.amd.com/en/latest/contribute/contributing.html>`_.
Licensing information can be found on the
`Licensing <https://rocm.docs.amd.com/en/latest/about/license.html>`_ page.
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