mirror of https://github.com/saymrwulf/onnxruntime.git synced 2026-07-14 18:12:05 +00:00

Docs update: updated nav, get started sections, home page, apis (#9060 )

* initial setup and rename "how to" to "setup"

* move API to main nav

* move api to main nav

* add get starated, rework nav order

* rename to install move mds out of install section

* update api nav and home page

* add install docs and python qs updates

* python get started work

* remove c and obj c for now

* move java, python, and obj-c docs under api folder

* move java api html to iframe (ugh)

* remove api docs w/o details, move api text getstar

* remove api docs wo detail updates get started

* remvoe iframes

* move eco system to main nav

* fix api buttons

* added more examples moved intro to ORT

* fix links

* fix get started titles

* fix get started titles

* fix more links

* fix more links

* more link fixes

* fix nav remove inferencing and training subnav

* fix top nav remove inference and training nav

* fix title

* fix tutorials nav hierarchy

* fix python api button

* add tenorflow keras example

* fix quickstart toc

* add imports fix spacing

* fix links

* update nav and python get started page

* move ort training example, add coming soon for iot

* update C# get started

* fix spacing on quantization

* Add some js get started content

* fix formatting

* fix typo

* removed onnx-pytorch and onnx-tf

* updated pip install torch and added links iot page

* added pytorch tutorial heirarchy

* updated web to docs soon added release blog link

* add web link

2021-09-15 16:23:42 -05:00

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title	parent	nav_order
ARM NN	Execution Providers	3

ArmNN Execution Provider

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ArmNN is an open source inference engine maintained by Arm and Linaro companies. The integration of ArmNN as an execution provider (EP) into ONNX Runtime accelerates performance of ONNX model workloads across Armv8 cores.

Build

For build instructions, please see the BUILD page.

Usage

C/C++

To use ArmNN as execution provider for inferencing, please register it as below.

Ort::Env env = Ort::Env{ORT_LOGGING_LEVEL_ERROR, "Default"};
Ort::SessionOptions so;
bool enable_cpu_mem_arena = true;
Ort::ThrowOnError(OrtSessionOptionsAppendExecutionProvider_ArmNN(so, enable_cpu_mem_arena));

The C API details are here.

Performance Tuning

For performance tuning, please see guidance on this page: ONNX Runtime Perf Tuning

When/if using onnxruntime_perf_test, use the flag -e armnn

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