# tflite-micro **Repository Path**: Nuclei-Software/tflite-micro ## Basic Information - **Project Name**: tflite-micro - **Description**: No description available - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2022-04-06 - **Last Updated**: 2025-04-25 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README * [TensorFlow Lite for Microcontrollers](#tensorflow-lite-for-microcontrollers) * [Build Status](#build-status) * [Official Builds](#official-builds) * [Community Supported TFLM Examples](#community-supported-tflm-examples) * [Community Supported Kernels and Unit Tests](#community-supported-kernels-and-unit-tests) * [Contributing](#contributing) * [Getting Help](#getting-help) * [Additional Documentation](#additional-documentation) * [RFCs](#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](https://github.com/tensorflow/tensorflow/) * [TFLM at tensorflow.org](https://www.tensorflow.org/lite/microcontrollers) # Build Status * [GitHub Status](https://www.githubstatus.com/) ## Official Builds Build Type | Status | ----------- | --------------| CI (Linux) | [![CI](https://github.com/tensorflow/tflite-micro/actions/workflows/run_ci.yml/badge.svg)](https://github.com/tensorflow/tflite-micro/actions/workflows/run_ci.yml) | Code Sync | [![Sync from Upstream TF](https://github.com/tensorflow/tflite-micro/actions/workflows/sync.yml/badge.svg)](https://github.com/tensorflow/tflite-micro/actions/workflows/sync.yml) | ## Community Supported TFLM Examples This table captures platforms that TFLM has been ported to. Please see [New Platform Support](tensorflow/lite/micro/docs/new_platform_support.md) for additional documentation. Platform | Status | ----------- | --------------| Arduino | [![Arduino](https://github.com/tensorflow/tflite-micro-arduino-examples/actions/workflows/ci.yml/badge.svg)](https://github.com/tensorflow/tflite-micro-arduino-examples/actions/workflows/ci.yml) [![Antmicro](https://github.com/antmicro/tensorflow-arduino-examples/actions/workflows/test_examples.yml/badge.svg)](https://github.com/antmicro/tensorflow-arduino-examples/actions/workflows/test_examples.yml) | [Coral Dev Board Micro](https://coral.ai/products/dev-board-micro) | [TFLM + EdgeTPU Examples for Coral Dev Board Micro](https://github.com/google-coral/coralmicro) | Espressif Systems Dev Boards | [![ESP Dev Boards](https://github.com/espressif/tflite-micro-esp-examples/actions/workflows/ci.yml/badge.svg)](https://github.com/espressif/tflite-micro-esp-examples/actions/workflows/ci.yml) | Renesas Boards | [TFLM Examples for Renesas Boards](https://github.com/renesas/tflite-micro-renesas) | Silicon Labs Dev Kits | [TFLM Examples for Silicon Labs Dev Kits](https://github.com/SiliconLabs/tflite-micro-efr32-examples) Sparkfun Edge | [![Sparkfun Edge](https://github.com/advaitjain/tflite-micro-sparkfun-edge-examples/actions/workflows/ci.yml/badge.svg?event=schedule)](https://github.com/advaitjain/tflite-micro-sparkfun-edge-examples/actions/workflows/ci.yml) Texas Instruments Dev Boards | [![Texas Instruments Dev Boards](https://github.com/TexasInstruments/tensorflow-lite-micro-examples/actions/workflows/ci.yml/badge.svg?event=status)](https://github.com/TexasInstruments/tensorflow-lite-micro-examples/actions/workflows/ci.yml) ## 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 Type | Status | ----------- | --------------| Cortex-M | [![Cortex-M](https://github.com/tensorflow/tflite-micro/actions/workflows/cortex_m.yml/badge.svg)](https://github.com/tensorflow/tflite-micro/actions/workflows/cortex_m.yml) | Hexagon | [![Hexagon](https://github.com/tensorflow/tflite-micro/actions/workflows/run_hexagon.yml/badge.svg)](https://github.com/tensorflow/tflite-micro/actions/workflows/run_hexagon.yml) | RISC-V | [![RISC-V](https://github.com/tensorflow/tflite-micro/actions/workflows/riscv.yml/badge.svg)](https://github.com/tensorflow/tflite-micro/actions/workflows/riscv.yml) | Xtensa | [![Xtensa](https://github.com/tensorflow/tflite-micro/actions/workflows/run_xtensa.yml/badge.svg)](https://github.com/tensorflow/tflite-micro/actions/workflows/run_xtensa.yml) | Generate Integration Test | [![Generate Integration Test](https://github.com/tensorflow/tflite-micro/actions/workflows/generate_integration_tests.yml/badge.svg)](https://github.com/tensorflow/tflite-micro/actions/workflows/generate_integration_tests.yml) | # Contributing See our [contribution documentation](CONTRIBUTING.md). # Getting Help A [Github issue](https://github.com/tensorflow/tflite-micro/issues/new/choose) 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](https://groups.google.com/a/tensorflow.org/g/micro) and [monthly meetings](http://doc/1YHq9rmhrOUdcZnrEnVCWvd87s2wQbq4z17HbeRl-DBc). 1. SIG Micro [gitter chat room](https://gitter.im/tensorflow/sig-micro). 1. For questions that are not specific to TFLM, please consult the broader TensorFlow project, e.g.: * Create a topic on the [TensorFlow Discourse forum](https://discuss.tensorflow.org) * Send an email to the [TensorFlow Lite mailing list](https://groups.google.com/a/tensorflow.org/g/tflite) * Create a [TensorFlow issue](https://github.com/tensorflow/tensorflow/issues/new/choose) * Create a [Model Optimization Toolkit](https://github.com/tensorflow/model-optimization) issue # Additional Documentation * [Continuous Integration](docs/continuous_integration.md) * [Benchmarks](tensorflow/lite/micro/benchmarks/README.md) * [Profiling](tensorflow/lite/micro/docs/profiling.md) * [Memory Management](tensorflow/lite/micro/docs/memory_management.md) * [Logging](tensorflow/lite/micro/docs/logging.md) * [Porting Reference Kernels from TfLite to TFLM](tensorflow/lite/micro/docs/porting_reference_ops.md) * [Optimized Kernel Implementations](tensorflow/lite/micro/docs/optimized_kernel_implementations.md) * [New Platform Support](tensorflow/lite/micro/docs/new_platform_support.md) * Platform/IP support * [Arm IP support](tensorflow/lite/micro/docs/arm.md) * [Software Emulation with Renode](tensorflow/lite/micro/docs/renode.md) * [Software Emulation with QEMU](tensorflow/lite/micro/docs/qemu.md) * [Python Dev Guide](docs/python.md) * [Automatically Generated Files](docs/automatically_generated_files.md) * [Python Interpreter Guide](python/tflite_micro/README.md) # RFCs 1. [Pre-allocated tensors](tensorflow/lite/micro/docs/rfc/001_preallocated_tensors.md) 1. [TensorFlow Lite for Microcontrollers Port of 16x8 Quantized Operators](tensorflow/lite/micro/docs/rfc/002_16x8_quantization_port.md)