| commit | b3d19eefba01e091b6fd4829f22c32f3e3bafedc | [log] [tgz] |
|---|---|---|
| author | Naveen Dodda <ndodda@google.com> | Wed Apr 17 17:46:51 2024 +0000 |
| committer | Naveen Dodda <ndodda@google.com> | Fri May 03 18:28:10 2024 +0000 |
| tree | b6fb1cb21838b5f4be392c17d6e6f3312f18510c | |
| parent | e6de9ac3691fba8baa96ac8169eb04675dd74b59 [diff] |
depthwise conv for 2d kernels * draft version of kernel is working *Kernel tirggers for pad =0 and int8 *need to add more kelvin instrcutions Change-Id: Ifb16c7f7508458cede8bd078c657b0106e348a99
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.: