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@@ -1,4 +1,7 @@ -# Arm NN +<br> +<div align="center"> + <img src="Arm_NN_horizontal_blue.png" class="center" alt="Arm NN Logo" width="300"/> +</div> * [Quick Start Guides](#quick-start-guides) * [Pre-Built Binaries](#pre-built-binaries) @@ -13,6 +16,8 @@ ## Announcement: As part of Arm's commitment to the use of inclusive language we will be moving away from 'master' branch to 'main' soon. ## From 15 August 2022 our 'master' branch will be frozen and we will be using 'main' branch instead. +# Arm NN + **_Arm NN_** is the **most performant** machine learning (ML) inference engine for Android and Linux, accelerating ML on **Arm Cortex-A CPUs and Arm Mali GPUs**. This ML inference engine is an open source SDK which bridges the gap between existing neural network frameworks and power-efficient Arm IP. @@ -49,6 +54,12 @@ We also provide Debian packages for Arm NN, which are a quick way to start using [here](InstallationViaAptRepository.md) which provides instructions on how to install the Arm NN Core and the TF Lite Parser for Ubuntu 20.04. +To build Arm NN from scratch, we provide the **[Arm NN Build Tool](build-tool/README.md)**. This tool consists of +**parameterized bash scripts** accompanied by a **Dockerfile** for building Arm NN and its dependencies, including +**[Arm Compute Library (ACL)](https://github.com/ARM-software/ComputeLibrary/)**. This tool replaces/supersedes the +majority of the existing Arm NN build guides as a user-friendly way to build Arm NN. The main benefit of building +Arm NN from scratch is the ability to **exactly choose which components to build, targeted for your ML project**.<br> + ## Pre-Built Binaries @@ -95,7 +106,7 @@ For FAQs and troubleshooting advice, see the [FAQ](docs/FAQ.md) or take a look a ## Get Involved -The best way to get involved is by using our software. If you need help or encounter and issue, please raise it as a +The best way to get involved is by using our software. If you need help or encounter an issue, please raise it as a [GitHub Issue](https://github.com/ARM-software/armnn/issues). Feel free to have a look at any of our open issues too. We also welcome feedback on our documentation. |