- TensorFlow Lite for Microcontrollers
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TensorFlow Lite for Microcontrollers
TensorFlow Lite for Microcontrollers is a port of TensorFlow Lite designed to run machine learning models on DSPs, microcontrollers and other devices with limited memory.
Community Supported TFLM Examples
This table captures platforms that TFLM has been ported to. Please see New Platform Support for additional documentation.
|Silicon Labs Dev Kits||TFLM Examples for Silicon Labs Dev Kits|
|Texas Instruments Dev Boards|
Community Supported Kernels and Unit Tests
This is a list of targets that have optimized kernel implementations and/or run the TFLM unit tests using software emulation or instruction set simulators.
See our contribution documentation.
A Github issue should be the primary method of getting in touch with the TensorFlow Lite Micro (TFLM) team.
The following resources may also be useful:
SIG Micro gitter chat room.
For questions that are not specific to inference with TFLM (for example model conversion and quantization) please use the following resources:
- Continuous Integration
- Memory Management
- Porting Reference Kernels from TfLite to TFLM
- Optimized Kernel Implementations
- New Platform Support
- Platform/IP support
- Software Emulation with Renode
- Python Dev Guide
- Automatically Generated Files