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  1. aa3fb6a tensorflow/tflite-micro: refactoring TFLM Kelvin kernel by Lun Dong · 3 weeks ago master
  2. ad2d40b Merge "Delegate kernel selection for int8 conv to our library" by Alex Van Damme · 3 weeks ago
  3. b3d19ee depthwise conv for 2d kernels by Naveen Dodda · 6 weeks ago
  4. f50dac7 Delegate kernel selection for int8 conv to our library by Alex Van Damme · 5 weeks ago
  5. e6de9ac Use Kelvin Cycle Count for micro_time by Michael Brooks · 9 weeks ago

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.

Additional Links:

Build Status

Official Builds

Build TypeStatus
CI (Linux)CI
Code SyncSync from Upstream TF

Community Supported TFLM Examples

This table captures platforms that TFLM has been ported to. Please see New Platform Support for additional documentation.

PlatformStatus
ArduinoArduino Antmicro
Coral Dev Board MicroTFLM + EdgeTPU Examples for Coral Dev Board Micro
Espressif Systems Dev BoardsESP Dev Boards
Renesas BoardsTFLM Examples for Renesas Boards
Silicon Labs Dev KitsTFLM Examples for Silicon Labs Dev Kits
Sparkfun EdgeSparkfun Edge
Texas Instruments Dev BoardsTexas 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.

Build TypeStatus
Cortex-MCortex-M
HexagonHexagon
RISC-VRISC-V
XtensaXtensa
Generate Integration TestGenerate Integration Test

Contributing

See our contribution documentation.

Getting Help

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:

  1. SIG Micro email group and monthly meetings.

  2. SIG Micro gitter chat room.

  3. For questions that are not specific to TFLM, please consult the broader TensorFlow project, e.g.:

Additional Documentation

RFCs

  1. Pre-allocated tensors
  2. TensorFlow Lite for Microcontrollers Port of 16x8 Quantized Operators