• TensorFlow Lite for Microcontrollers
• Build Status
  • Official Builds
  • Community Supported Builds
• Contributing
• Getting Help
• Additional Documentation
• RFCs

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:

• Tensorflow github repository
• TFLM at tensorflow.org

Build Status

• GitHub Status

Official Builds

Build Type	Status
CI (Linux)
Code Sync

Community Supported Builds

Build Type	Status
Arduino
Cortex-M
Sparkfun Edge
Xtensa

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.

Additional Documentation

• Continuous Integration
• Benchmarks
• Profiling
• Memory Management
• Optimized Kernel Implementations
• New Platform Support
• Software Emulation with Renode

RFCs

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