eIQ® Inference with Glow NN | NXP Semiconductors

eIQ® Inference with Glow NN

Diagram

eIQ® Inference with Glow NN eIQ® Inference with Glow NN

eIQ<sup>&reg;</sup> Inference with Glow NN

Features

  • Support for i.MX RT600, i.MX RT1050, i.MX RT1060, and other crossover MCUs
  • Enables inference at the edge with significantly lower latency and smaller binary size
  • Utilizes CMSIS-NN and Cadence® HiFi NN Library to accelerate neural network operators
  • Delivered within MCUXpresso SDK
  • Glow is an open source, community project released from Facebook in 2018 with Apache License 2.0

Supported Devices

  • i.MX-RT600: i.MX RT600 Crossover MCU with Arm® Cortex®-M33 and DSP Cores
  • i.MX-RT1050: i.MX RT1050 Crossover MCU with Arm® Cortex®-M7 Core
  • i.MX-RT1060: i.MX RT1060: Crossover MCU with Arm® Cortex®-M7
  • i.MX-RT1064: i.MX RT1064: Crossover MCU with Arm® Cortex®-M7
  • i.MX-RT1170: i.MX RT1170: 1 GHz Crossover MCU with Arm® Cortex® Cores
  • i.MX-RT1160: i.MX RT1160 Crossover MCU Dual-Core Arm® Cortex®-M7 and Cortex-M4

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Y true 0 SSPeIQ-Glowen 6 Application Note Application Note t789 3 Application Note Software Application Note Software t783 1 Fact Sheet Fact Sheet t523 1 User Guide User Guide t792 1 en_US en_US en Application Note Application Note 3 1 1 Chinese This application note presents the process of building and deploying deep learning models for Smart Sensing Appliances. It also highlights how to validate and evaluate the performance of a model by running it through different inference engines on an Embedded Sensing Device. 1644318754124703028011zh SSP 4.9 MB None None documents None 1644318754124703028011 /docs/zh/application-note/AN13562.pdf 4943726 /docs/zh/application-note/AN13562.pdf AN13562 documents N N 2022-02-08 Building and Benchmarking Deep Learning Models for Smart Sensing Appliances on MCUs /docs/zh/application-note/AN13562.pdf /docs/zh/application-note/AN13562.pdf Application Note N 645036621402383989 2024-07-17 zh Apr 25, 2022 645036621402383989 Application Note Y N Building and Benchmarking Deep Learning Models for Smart Sensing Appliances on MCUs 2 English AN13562: This application note presents the process of building and deploying deep learning models for Smart Sensing Appliances. It also highlights how to validate and evaluate the performance of a model by running it through different inference engines on an Embedded Sensing Device. 1644318754124703028011 SSP 4.9 MB None None documents None 1644318754124703028011 /docs/en/application-note/AN13562.pdf 4943726 /docs/en/application-note/AN13562.pdf AN13562 documents N N 2022-02-08 Building and Benchmarking Deep Learning Models for Smart Sensing Appliances on MCUs /docs/en/application-note/AN13562.pdf /docs/en/application-note/AN13562.pdf Application Note N 645036621402383989 2024-07-17 pdf N en Sep 27, 2023 645036621402383989 Application Note Y N Building and Benchmarking Deep Learning Models for Smart Sensing Appliances on MCUs 2 0 English AN13438SW.zip /docs/en/application-note-software/AN13438SW.zip /docs/en/application-note-software/AN13438SW.zip This application note focuses on enabling deep learning on NXP microcontrollers with Arm® Cortex®-M0/M0+ cores. 1637237204145717899384 SSP None None documents None 1637237204145717899384 /docs/en/application-note/AN13438.pdf /docs/en/application-note/AN13438.pdf AN13438 documents N N 2021-11-18 Inferencing Deep Learning on Cortex M0/M0+ with the eIQ Glow Inference Engine /docs/en/application-note/AN13438.pdf /docs/en/application-note/AN13438.pdf Application Note N 645036621402383989 2022-12-07 pdf N en Nov 18, 2021 645036621402383989 Application Note Y N Inferencing Deep Learning on Cortex M0/M0+ with the eIQ Glow Inference Engine 3 0 English This document covers how to understand the Glow memory information generated by the Glow compiler and calculate the memory required for a particular model. This compiler can then be used to determine the minimum memory size that is needed to run the model. 1605697800036703252013 SSP 151.4 KB None None documents None 1605697800036703252013 /docs/en/application-note/AN13001.pdf 151385 /docs/en/application-note/AN13001.pdf AN13001 documents N N 2020-11-18 Glow Memory Analysis /docs/en/application-note/AN13001.pdf /docs/en/application-note/AN13001.pdf Application Note N 645036621402383989 2022-12-07 pdf N en Nov 18, 2020 645036621402383989 Application Note Y N Glow Memory Analysis User Guide User Guide 1 4 6 English Leveraging MCUXpresso SDK Ahead of Time (AOT) compilation bundles with eIQ for Glow NN compiler 1595339043301735895214 SSP 852.5 KB None None documents None 1595339043301735895214 /docs/en/user-guide/EIQGLOWAOTUG.pdf 852466 /docs/en/user-guide/EIQGLOWAOTUG.pdf EIQGLOWAOTUG documents N N 2020-07-21 eIQ Glow Ahead of Time User Guide /docs/en/user-guide/EIQGLOWAOTUG.pdf /docs/en/user-guide/EIQGLOWAOTUG.pdf User Guide N 132339537837198660 2023-06-19 pdf N en Jul 14, 2022 132339537837198660 User Guide Y N eIQ Glow Ahead of Time User Guide Application Note Software Application Note Software 1 5 0 English 1637236285452694403316 SSP None None documents None 1637236285452694403316 /docs/en/application-note-software/AN13438SW.zip /docs/en/application-note-software/AN13438SW.zip AN13438SW documents N N 2021-11-18 Application note software for AN13438 /docs/en/application-note-software/AN13438SW.zip /docs/en/application-note-software/AN13438SW.zip Application Note Software N 789425793691620447 2022-12-07 zip N en Nov 18, 2021 789425793691620447 Application Note Software Y N Application note software for AN13438 Fact Sheet Fact Sheet 1 6 4 Japanese Machine learning software for NXP i.MX and MCUs – libraries, example applications, inference engines, HALs 1562948465206707057398ja SSP 653.2 KB None None documents None 1562948465206707057398 /docs/ja/fact-sheet/EIQ-FS.pdf 653150 /docs/ja/fact-sheet/EIQ-FS.pdf EIQ-FS documents N N 2019-07-12 eIQ Software Fact Sheet /docs/ja/fact-sheet/EIQ-FS.pdf /docs/ja/fact-sheet/EIQ-FS.pdf Fact Sheet N 736675474163315314 2022-12-07 ja Jul 11, 2023 736675474163315314 Fact Sheet Y N eIQ 機械学習ソフトウェア開発環境 4 English Machine learning software for NXP i.MX and MCUs – libraries, example applications, inference engines, HALs 1562948465206707057398 SSP 653.2 KB None None documents None 1562948465206707057398 /docs/en/fact-sheet/EIQ-FS.pdf 653150 /docs/en/fact-sheet/EIQ-FS.pdf EIQ-FS documents N N 2019-07-12 eIQ Software Fact Sheet /docs/en/fact-sheet/EIQ-FS.pdf /docs/en/fact-sheet/EIQ-FS.pdf Fact Sheet N 736675474163315314 2022-12-07 pdf N en Jan 21, 2022 736675474163315314 Fact Sheet Y N eIQ Software Fact Sheet false 0 eIQ-Glow downloads en true 1 Y SSP Y Y Application Note 3 /docs/en/application-note/AN13562.pdf 2022-02-08 1644318754124703028011 SSP 1 Sep 27, 2023 Application Note AN13562: This application note presents the process of building and deploying deep learning models for Smart Sensing Appliances. It also highlights how to validate and evaluate the performance of a model by running it through different inference engines on an Embedded Sensing Device. None /docs/en/application-note/AN13562.pdf English documents 4943726 None 645036621402383989 2024-07-17 N /docs/en/application-note/AN13562.pdf Building and Benchmarking Deep Learning Models for Smart Sensing Appliances on MCUs /docs/en/application-note/AN13562.pdf documents 645036621402383989 Application Note N en None Y pdf 2 N N Building and Benchmarking Deep Learning Models for Smart Sensing Appliances on MCUs 4.9 MB AN13562 N 1644318754124703028011 /docs/en/application-note/AN13438.pdf 2021-11-18 1637237204145717899384 SSP 2 Nov 18, 2021 Application Note This application note focuses on enabling deep learning on NXP microcontrollers with Arm® Cortex®-M0/M0+ cores. None /docs/en/application-note/AN13438.pdf English documents None 645036621402383989 2022-12-07 N /docs/en/application-note/AN13438.pdf Inferencing Deep Learning on Cortex M0/M0+ with the eIQ Glow Inference Engine /docs/en/application-note/AN13438.pdf documents 645036621402383989 Application Note N en None Y pdf 0 N N Inferencing Deep Learning on Cortex M0/M0+ with the eIQ Glow Inference Engine AN13438 N 1637237204145717899384 /docs/en/application-note/AN13001.pdf 2020-11-18 1605697800036703252013 SSP 3 Nov 18, 2020 Application Note This document covers how to understand the Glow memory information generated by the Glow compiler and calculate the memory required for a particular model. This compiler can then be used to determine the minimum memory size that is needed to run the model. None /docs/en/application-note/AN13001.pdf English documents 151385 None 645036621402383989 2022-12-07 N /docs/en/application-note/AN13001.pdf Glow Memory Analysis /docs/en/application-note/AN13001.pdf documents 645036621402383989 Application Note N en None Y pdf 0 N N Glow Memory Analysis 151.4 KB AN13001 N 1605697800036703252013 Application Note Software 1 /docs/en/application-note-software/AN13438SW.zip 2021-11-18 1637236285452694403316 SSP 5 Nov 18, 2021 Application Note Software None /docs/en/application-note-software/AN13438SW.zip English documents None 789425793691620447 2022-12-07 N /docs/en/application-note-software/AN13438SW.zip Application note software for AN13438 /docs/en/application-note-software/AN13438SW.zip documents 789425793691620447 Application Note Software N en None Y zip 0 N N Application note software for AN13438 AN13438SW N 1637236285452694403316 Fact Sheet 1 /docs/en/fact-sheet/EIQ-FS.pdf 2019-07-12 1562948465206707057398 SSP 6 Jan 21, 2022 Fact Sheet Machine learning software for NXP i.MX and MCUs – libraries, example applications, inference engines, HALs None /docs/en/fact-sheet/EIQ-FS.pdf English documents 653150 None 736675474163315314 2022-12-07 N /docs/en/fact-sheet/EIQ-FS.pdf eIQ Software Fact Sheet /docs/en/fact-sheet/EIQ-FS.pdf documents 736675474163315314 Fact Sheet N en None Y pdf 4 N N eIQ Software Fact Sheet 653.2 KB EIQ-FS N 1562948465206707057398 User Guide 1 /docs/en/user-guide/EIQGLOWAOTUG.pdf 2020-07-21 1595339043301735895214 SSP 4 Jul 14, 2022 User Guide Leveraging MCUXpresso SDK Ahead of Time (AOT) compilation bundles with eIQ for Glow NN compiler None /docs/en/user-guide/EIQGLOWAOTUG.pdf English documents 852466 None 132339537837198660 2023-06-19 N /docs/en/user-guide/EIQGLOWAOTUG.pdf eIQ Glow Ahead of Time User Guide /docs/en/user-guide/EIQGLOWAOTUG.pdf documents 132339537837198660 User Guide N en None Y pdf 6 N N eIQ Glow Ahead of Time User Guide 852.5 KB EIQGLOWAOTUG N 1595339043301735895214 true Y Softwares

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