eIQ® for Arm® CMSIS-NN
Arm CMSIS-NN is a collection of efficient neural network kernels used to maximize the performance and minimize the memory footprint of neural networks on Arm® Cortex®-M processor cores. For easy deployment, NXP eIQ integrates CMSIS-NN directly into MCUXpresso SDK, along with all the other Arm CMSIS components. The use of CMSIS-NN requires more manual intervention than TensorFlow Lite, but yields faster performance and small memory footprint, at the expense of a limited set of neural network operators. Therefore, some models are not supported. Arm also provides a conversion script to parse the network topology and automatically determine the appropriate functions to be used.
ソフトウェア詳細
Features
- Delivered as middleware in the MCUXpresso SDK
- Supports i.MX RT applications processors, LPC55S69 MCUs, and Cortex-M based devices
- Developed by Arm to provide neural network support for Cortex-M4 and Cortex-M7 cores
- Faster and smaller than TF Lite because CMSIS-NN development flow is entirely offline, creating a binary targeting M-class platform
- Supports a basic set of operations to implement common model layers (e.g, convolution, fully-connected, pooling, activation)
- Conversion scripts (from Arm) to convert Caffe models into CMSIS-NN API calls
対応製品
- i.MX-RT1050: i.MX RT1050 Arm® Cortex®-M7コア搭載クロスオーバーMCU
- LPC55S6x: High Efficiency Arm® Cortex®-M33-Based Microcontroller Family
- i.MX-RT1060: i.MX RT1060：Arm® Cortex®-M7搭載クロスオーバーMCU
ダウンロード
クイック・リファレンス ソフトウェア・タイプ.
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使用例とクイック・スタート・ソフトウェア
MCUXpresso SDK Builder
注: より快適にご利用いただくために、ソフトウェアのダウンロードはデスクトップで行うことを推奨します。
