| commit | 4b56c865eb1ccb40bc48319e56837584508893fe | [log] [tgz] |
|---|---|---|
| author | Alex Van Damme <atv@google.com> | Tue Jan 09 16:34:01 2024 -0800 |
| committer | Alex Van Damme <atv@google.com> | Thu Jan 11 18:26:38 2024 +0000 |
| tree | f12b4f52039a3f488a460c8cd708045343e1d520 | |
| parent | 22547dcdc1d45ced1b7944c3e9ef71c479a3b890 [diff] |
Set tflm_kernel_friends to public Change-Id: I55ffeb85acb6231e437c831d1e9e6d613aa7aa9f
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.: