| commit | c6934d66790124cc36c79146fa92d50219ed85c1 | [log] [tgz] |
|---|---|---|
| author | Lun Dong <lundong@google.com> | Wed Jun 26 00:08:11 2024 -0700 |
| committer | Lun Dong <lundong@google.com> | Wed Jun 26 00:12:29 2024 -0700 |
| tree | 95f44a201b7a4daa4a10e2fe62347f26e1a83db9 | |
| parent | f1bf04912b206a4e4e234bcbf3e71d16fa8dad93 [diff] |
sw/tflite-micro: clean up function definitions Try to use a same function definition as in reference implementations. This makes codes cleaner and more expandable. Change-Id: I8cecbb405eef4ae28d60b94a42abb9c2587d25c4
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.: