cortex-m
OfficialDevelop and test Cortex-M CMSIS-NN backend.
Authorpytorch
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Build, test, or develop the Cortex-M (CMSIS-NN) backend for PyTorch executions on embedded devices. This enables assembling CMSIS-NN compatible quantized graphs, validating performance, and exporting models targeted at Cortex-M runtimes.
Core Features & Use Cases
- Provides a complete pipeline for quantization, graph rewriting, and export to Cortex-M targets using PT2E flow.
- Supports running tests (dialect and implementation tests) for CMSIS-NN integration and CMSIS hardware backends.
- Use Case: Develop and optimize a CMSIS-NN backend for a Cortex-M device by exporting a quantized model and validating it on hardware.
Quick Start
Quantize a sample model for Cortex-M CMSIS-NN and run the prepared graph through the Cortex-M backend.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: cortex-m Download link: https://github.com/pytorch/executorch/archive/main.zip#cortex-m Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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