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https://github.com/tensorflow/tflite-micro

Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
https://github.com/tensorflow/tflite-micro

Last synced: about 2 months ago
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Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).

Host: GitHub
URL: https://github.com/tensorflow/tflite-micro
Owner: tensorflow
License: apache-2.0
Created: 2021-04-08T21:40:50.000Z (over 3 years ago)
Default Branch: main
Last Pushed: 2024-05-22T17:37:31.000Z (4 months ago)
Last Synced: 2024-05-22T19:58:53.408Z (4 months ago)
Language: C++
Homepage:
Size: 31.2 MB
Stars: 1,690
Watchers: 52
Forks: 748
Open Issues: 18
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Codeowners: CODEOWNERS
- Security: SECURITY.md
- Authors: AUTHORS

Awesome Lists containing this project

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)