| commit | 29d8dbfd4eade4e6b67db9b5844c2c521bea00a0 | [log] [tgz] |
|---|---|---|
| author | Steven Toribio <34755817+turbotoribio@users.noreply.github.com> | Tue Jul 11 10:03:45 2023 -0700 |
| committer | GitHub <noreply@github.com> | Tue Jul 11 17:03:45 2023 +0000 |
| tree | b37e0878a47762bd11eed105b91c32cc968d1190 | |
| parent | ef0a7b025a9d78dee0b81d7d27053f3aff097fb1 [diff] |
port c++ framer op to open source in tflm_signal (#2104) `port c++ framer op to open source in tflm_signal` -port framer op and corresponding to new open source location for C++ BUG=[b/288965505](https://b.corp.google.com/288965505)
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.: