| commit | f99fcf84ed0555341f7247fc782a6a9b994569c3 | [log] [tgz] |
|---|---|---|
| author | Shlomi Regev <shlmregev@users.noreply.github.com> | Fri Apr 12 17:46:43 2024 +0200 |
| committer | GitHub <noreply@github.com> | Fri Apr 12 15:46:43 2024 +0000 |
| tree | cf2e0d8bb88dbb5a8bd04b7183a5b9394ca27cd2 | |
| parent | 7aa0d93dcef1bba137c742836aed444cf7c853ef [diff] |
Use scratch memory instead of perm buffer for the RFFT kernel's work area. (#2542) BUG=333876877
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.: