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29 lines
1.4 KiB
ReStructuredText
29 lines
1.4 KiB
ReStructuredText
.. meta::
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:description: Introduction to the high-performance hipTensor library for tensor primitives
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:keywords: hipTensor, ROCm, library, API, tool
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.. _what-is-hiptensor:
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********************************************************************
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What is hipTensor?
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********************************************************************
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hipTensor is a high-performance :doc:`HIP <hip:index>`
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library for tensor primitives. It's the AMD C++ library for accelerating tensor primitives,
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leveraging specialized GPU matrix cores on the latest AMD discrete GPUs.
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hipTensor is powered by the composable kernel (CK) library backend.
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The hipTensor API is designed to be portable with other similar libraries, letting other library users easily migrate to the AMD platform.
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It offers functionality for defining tensor data objects and supports
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contraction, permutation, and reduction operations.
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Users can also select from several available logging options.
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The hipTensor library is bundled with GPU kernel instances, which are automatically selected
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and invoked to solve problems as defined by the API input parameters.
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Supporting host code is required for GPU device and memory management.
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The hipTensor code samples and tests provided with the library are built and launched using HIP C++ within ROCm.
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.. note::
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hipTensor is a work-in-progress (WIP) library. Future tensor operation support might include additional element-wise operations
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and caching of selection instances. |