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suleshahid 15092dfdba IF kernel nulltpr fix (#2515 ) In some cases if you IF op has 0 outputs, it can reference a nullptr in trying to access node->outputs->size(). This is in the case if your model was flatbuffer_aligned which most likely optimizes away the empty array to nullptr. BUG=[328527454](https://buganizer.corp.google.com/issues/328527454)		2024-03-21 21:54:02 +00:00
.github	Remove Wave as dependency (#2508 )	2024-03-15 14:04:11 -07:00
ci	Remove Wave as dependency (#2508 )	2024-03-15 14:04:11 -07:00
codegen	codegen: Remove make helpers for codegen (#2378 )	2024-01-09 19:54:12 +00:00
data/continuous_builds
docs	Change comment to refer to 3.11 instead of 3.9 (#2029 )	2023-06-08 18:11:59 +00:00
python	Automated sync from github.com/tensorflow/tensorflow (#2510 )	2024-03-18 22:09:28 +00:00
signal	Unique Init, Prepare, Eval functions of signal kernels. (#2497 )	2024-03-11 22:19:08 +00:00
tensorflow	IF kernel nulltpr fix (#2515 )	2024-03-21 21:54:02 +00:00
third_party	Remove the `output_to_genfiles = True` parameter from Starlark rules (#2512 )	2024-03-19 21:56:48 +00:00
tools	Add expand_stamp_vars docstring and fix import (#2178 )	2023-08-21 16:53:10 +00:00
.bazelrc	Fix bazel 7.0 bzlmod update (#2352 )	2023-12-12 00:35:03 +00:00
.bazelversion	build(bazel): pin bazel version to 7.0.0 (#2360 )	2024-01-03 20:53:21 +00:00
.clang-format
.editorconfig	style: add a project-level .editorconfig file (#1968 )	2023-05-12 21:18:08 +00:00
.gitignore	build: add target to generate compiler_commands.json (#1658 )	2023-01-13 05:13:47 +00:00
AUTHORS
BUILD	build: add target to generate compiler_commands.json (#1658 )	2023-01-13 05:13:47 +00:00
CODEOWNERS	Add rascani@ as CODEOWNER for ci and .github directories. (#2042 )	2023-06-12 20:19:54 +00:00
CONTRIBUTING.md	Remove Wave as dependency (#2508 )	2024-03-15 14:04:11 -07:00
debugging_output.md	Adding ReadMe for Layer by Layer Debug Targets (#2305 )	2023-11-28 22:06:25 +00:00
LICENSE
README.md	refactor(python): move runtime to package-friendly directory structure (#2051 )	2023-06-15 06:25:19 +00:00
SECURITY.md
WORKSPACE	Replace tensorflow-cpu usage with tensorflow (#2396 )	2024-02-23 00:35:22 +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.