| commit | 801e6644bf6caad2ad2f09cdd41f2f634ce73570 | [log] [tgz] |
|---|---|---|
| author | Matthew Wilson <mwilson@google.com> | Thu Aug 15 12:01:16 2024 -0700 |
| committer | Matthew Wilson <mwilson@google.com> | Thu Aug 15 19:46:01 2024 +0000 |
| tree | ea5b4251763eee40d0349033d0d94d42f30d18fb | |
| parent | 4077ba8a331e8e6979f0a3d4e40a5766f7238630 [diff] | |
| parent | 07e7f33eb5f652d8c6ea87b27c2f406fde97f15c [diff] |
Merge remote-tracking branch 'spacebeaker/upstream' into master Change-Id: Ieb5c6acc9bbafad3813c83058a9e40089fee2e3c
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 Type | Status |
|---|---|
| CI (Linux) |  |
| Code Sync |  |
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 |  |
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 |  |
| Hexagon |  |
| RISC-V |  |
| Xtensa |  |
| Generate Integration Test |  |
See our contribution documentation.
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:
SIG Micro email group and monthly meetings.
SIG Micro gitter chat room.
For questions that are not specific to TFLM, please consult the broader TensorFlow project, e.g.: