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eIQ® Auto Machine Learning (ML) Toolkit
eIQ-AUTO-ML-TOOLKIT 接收通知
This page contains information on a preproduction product. Specifications and information herein are subject to change without notice. For additional information contact support or your sales representative.
eIQ Auto ML Toolkit provides high performance and fast deployment of ML algorithms on NXP automotive MCUs and MPUs including S32G vehicle network processors, S32Z and S32E real-time processors, and S32K general-purpose microcontrollers.
The toolkit offers large compatibility of AI container format from a diverse popular AI training frameworks. It features a wide range of Model Zoo and numerous model preparation services for model optimization. The Toolkit supports a variety of AI backends including an Automotive Quality compliant option and a fully user-customable path.
Application integration happens through eIQ Auto Runtime API agnostic to the model, backend and hardware while providing full control on where and how the execution takes place.
软件详情
框图
Features
Key Features
- Seamless deployment of ML algorithms to embedded
- High-performance inference
- Automotive qualified machine learning (ML) runtime software stack, including accelerator backends
- Heterogeneous multi-core processing
- Portability across S32 MCUs/MPUs
- User-defined operations capable
- Model Zoo
- Auto ML support
Offline Tools
- Import models trained from PyTorch, TensorFlow/Keras, MATLAB®
- Hardware target selection and model optimization tools
- Integrated model compilation support
- x86 simulation and model evaluation
Runtime API
- Single API independent of backend
- Heterogeneous computation
Runtime Backend
- eIQ Auto automotive quality backend
- ONNX® runtime
- TFLite
- TFLite Micro
- User-defined backend
Model Zoo Applications
- Battery management
- Predictive maintenance
- Intrusion detection
- Driver monitoring and Identification
- Keyword porting
- Speech classification
系统需求
Development environment
- x86 Linux®
Supported AI model format
- ONNX®
- Protobuf
- Keras H5
- Saved Model
Embedded Operating Systems
- Linux®
- FreeRTOS™
- QNX® Neutrinos
- AUTOSAR®
- Zephyr®
- BareMetal
设计资源
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注意: 推荐在电脑端下载软件，体验更佳。
