| commit | 00067fba40014fe024c1d1a2ae6d0010d45baf6b | [log] [tgz] |
|---|---|---|
| author | Steven Toribio <34755817+turbotoribio@users.noreply.github.com> | Mon Nov 06 10:26:31 2023 -0800 |
| committer | GitHub <noreply@github.com> | Mon Nov 06 18:26:31 2023 +0000 |
| tree | 53c9aed6659267b5290cc414ae7bfcfe4631c9e5 | |
| parent | 6d337dc9f96a7f01ac90f3bf8363828fbdfe1e3a [diff] |
add layer_by_layer debugging tool to makefile (#2299) Make all the code C++ 11 compatible in order for target to be compatible with Embedded Tool Chains / Build Systems. make_unique isn't available in C++ 11 file that provides a function to Write a Flatbuffer into a file isn't available either in the embedded build systems , so a function was added to save a Flatbuffer into a file. BUG=[b/288141725](https://b.corp.google.com/issues/288141725)
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.: