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70 lines
2.7 KiB
ReStructuredText
70 lines
2.7 KiB
ReStructuredText
.. meta::
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:description: Documentation for MIOpen,
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:keywords: MIOpen, ROCm, API, documentation
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********************************************************************
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MIOpen documentation
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********************************************************************
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MIOpen is the AMD open-source, deep-learning primitives library for GPUs. It implements fusion to
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optimize for memory bandwidth and GPU launch overheads, providing an auto-tuning infrastructure
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to overcome the large design space of problem configurations. It also implements different algorithms
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to optimize convolutions for different filter and input sizes.
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MIOpen is one of the first libraries to publicly support the ``bfloat16`` data type for convolutions, which
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allows for efficient training at lower precision without loss of accuracy.
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The MIOpen public repository is located at
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`<https://github.com/ROCm/rocm-libraries/tree/develop/projects/miopen>`_.
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.. note::
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The MIOpen repository for ROCm 6.4.3 and earlier is located at `<https://github.com/ROCm/MIOpen>`_.
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.. grid:: 2
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:gutter: 3
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.. grid-item-card:: Install
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* :doc:`Install MIOpen <./install/install>`
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* :doc:`Build from source <./install/build-source>`
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* :doc:`Build for embedded systems <./install/embed>`
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* :doc:`Build MIOpen using Docker <./install/docker-build>`
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.. grid:: 2
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:gutter: 3
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.. grid-item-card:: Conceptual
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* :doc:`Find database <./conceptual/finddb>`
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* :doc:`Kernel cache <./conceptual/cache>`
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* :doc:`Performance database <./conceptual/perfdb>`
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* :doc:`Manual tuning <./conceptual/tuningdb>`
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* :doc:`MI200 alternate implementation <./conceptual/MI200-alt-implementation>`
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* :doc:`Porting to MIOpen <./conceptual/porting-guide>`
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.. grid-item-card:: How to
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* :doc:`Use the fusion API <./how-to/use-fusion-api>`
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* :doc:`Log and debug <./how-to/debug-log>`
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* :doc:`Use the find APIs and immediate mode <./how-to/find-and-immediate>`
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* :doc:`Use NHWC Batch Normalization with PyTorch <./how-to/use-nhwc-batchnorm-in-pytorch>`
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.. grid-item-card:: Samples
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* `MIOpen samples <https://github.com/ROCm/rocm-libraries/tree/develop/projects/miopen/samples>`_
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.. grid-item-card:: Reference
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* :doc:`API library <reference/index>`
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* :doc:`Modules <./doxygen/html/modules>`
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* :doc:`Precision support <./reference/data_type_support>`
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* :doc:`Environment variables <./reference/env_variables>`
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For information on contributing to the MIOpen code base, see
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`Contributing to ROCm <https://rocm.docs.amd.com/en/latest/contribute/contributing.html>`_.
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For licensing information for all ROCm components, see
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`ROCm licensing <https://rocm.docs.amd.com/en/latest/about/license.html>`_.
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