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mirror of https://github.com/vee1e/tflite-micro - Infrastructure to enable deployment of ML models to low-powe

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Ryan Kuester cc09a49b9b docs: update compression documentation (#3020 ) Clarify the usage of `MicroContext::AllocateDecompressionScratchBuffer` and`tflite::micro::GetTensorData` for handling decompressed tensor data. Add a section on alternate decompression memory regions, explaining how to specify and use specialized memory for decompression. Update instructions for compressing models using a YAML specification. Simplify the model compression and alignment command examples. Spin off new Generic Benchmark Application documentation. BUG=part of #2636		2024-12-17 23:37:12 +00:00
.github	ci(Make): add test jobs for compression (#2988 )	2024-12-06 00:55:36 +00:00
ci	Fix upstream sync (again) (#2763 )	2024-12-11 11:43:49 -08:00
codegen	build(bazel): disable codegen when building --//:with_compression (#2982 )	2024-12-04 18:44:33 +00:00
data/continuous_builds
docs
python	fix(py runtime_test): remove test for zero-initialized output tensor (#2946 )	2024-12-02 18:14:16 +00:00
signal	build(bazel): introduce tflm_cc_* macros, refactoring away micro_copts (#2765 )	2024-11-14 23:16:28 +00:00
tensorflow	docs: update compression documentation (#3020 )	2024-12-17 23:37:12 +00:00
third_party	test(compression): remove the test log hexdump of the Python metadata (#2941 )	2024-11-27 00:12:18 +00:00
tools
.bazelrc	build(bazel): provide means of excluding whl_test locally (#2940 )	2024-11-27 00:51:53 +00:00
.bazelversion	build(bazel): pin bazel version to 7.0.0 (#2360 )	2024-01-03 20:53:21 +00:00
.clang-format
.editorconfig
.gitignore
.style.yapf	style: add .style.yapf to control yapf styling of Python code (#2709 )	2024-10-02 18:36:01 +00:00
AUTHORS
BUILD	build(bazel): add --//:with_compression build setting (#2843 )	2024-11-20 14:01:21 -08:00
CODEOWNERS	Replace rascani with suleshahid on OWNERS (#2715 )	2024-10-07 17:36:26 +00:00
CONTRIBUTING.md	style: add .style.yapf to control yapf styling of Python code (#2709 )	2024-10-02 18:36:01 +00:00
debugging_output.md
LICENSE
README.md
SECURITY.md
WORKSPACE	build(bazel): add integrity check to nnlib_hifi4 download (#2743 )	2024-11-01 22:10:05 +00:00

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

GitHub Status

Official Builds

Build Type	Status
CI (Linux)
Code Sync

Community Supported TFLM Examples

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

Platform	Status
Arduino
Coral Dev Board Micro	TFLM + EdgeTPU Examples for Coral Dev Board Micro
Espressif Systems Dev Boards
Renesas Boards	TFLM Examples for Renesas Boards
Silicon Labs Dev Kits	TFLM Examples for Silicon Labs Dev Kits
Sparkfun Edge
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.