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22.05
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22.05
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| ▼Quick Start Guide | On this page you can find guides which allow you to get setup and ready to run models with Arm NN quickly |
| TfLite Delegate Quick Start Guide | |
| Arm NN Operators | |
| ▼Build Guides | This page links all guides to build and/or install Arm NN tools hosted in our repository |
| How to install ArmNN via our APT repository on Ubuntu's Launchpad | |
| Delegate build guide introduction | |
| How to use the Android NDK to build Arm NN | |
| How to Cross-Compile Arm NN on x86_64 for arm64 | |
| ▼Contribution Guides | This is a collection of guides that should help you contribute code to Arm NN |
| Backend Developer Guide | |
| Dynamically loadable Backend | |
| ▼Software Components | On this page you can find all software components contained in the Arm NN repository |
| TfLite Delegate | |
| Parsers | Execute models from different machine learning platforms efficiently with our parsers |
| PyArmNN | |
| Serializer | The armnnSerializer is a library for serializing an Arm NN network to a stream |
| Deserializer | The armnnDeserializer is a library for loading neural networks defined by Arm NN FlatBuffers files into the Arm NN runtime |
| Converter | |
| ImageCSVFileGenerator | |
| ImageTensorGenerator | |
| ModelAccuracyTool | |
| Frequently asked questions | |
| Contribution Guidelines |
1.8.13 