ARM Compute architecture

R2026b

(To be removed) ARM architecture supported in the target hardware

The coder.ARMNEONConfig object and its ARM Compute architecture parameter will be removed in a future release. Instead, you can generate generic C/C++ code that does not depend on any third-party library. Create a deep learning configuration object by using the coder.DeepLearningConfig function with the target library set to "none". If you need to deploy to an ARM® device that supports Neon instructions, set the InstructionSetExtensions property of the code configuration object to "Neon v7". For example, create a configuration object for a dynamic library, set the deep learning configuration with no target library dependency, and enable Neon v7 instructions:

cfg = coder.config("dll");
cfg.DeepLearningConfig = coder.DeepLearningConfig("none");
cfg.InstructionSetExtensions = "Neon v7";

Setting InstructionSetExtensions to "Neon v7" requires Embedded Coder®. The "none" target library workflow with instruction set extensions is more capable in MATLAB® and Simulink®, and supports a larger set of layers.

Description

App Configuration Pane: Deep Learning

Configuration Objects: coder.ARMNEONConfig

ARM architecture supported in the target hardware, specified as a character vector or string scalar. The specified architecture must be the same as the architecture for the ARM Compute Library on the target hardware.

ARMArchitecture must be specified for these cases:

  • You do not use a hardware support package (the Hardware property of the code generation configuration object is empty).

  • You use a hardware support package, but generate code only.

Dependencies

To enable this parameter, you must set Deep learning library to ARM Compute.

Settings

armv8

64-bit Arm Architecture

armv7

32-bit Arm Architecture

Programmatic Use

Property: ArmArchitecture
Values: 'armv8' | 'armv7'
Default: 'armv8'

Version History

Introduced in R2019a

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See Also