| commit | 19577c1677d642221895dffc91049b6fea5ed003 | [log] [tgz] |
|---|---|---|
| author | Lucas Chollet <lucas.chollet@free.fr> | Mon Aug 12 12:36:25 2024 -0400 |
| committer | GitHub <noreply@github.com> | Mon Aug 12 16:36:25 2024 +0000 |
| tree | f33671a59dd077e1f4c726e87c106f8d584cfb7e | |
| parent | 79ceb4c45c5cd9223dd4bed8701cdf6a0da9cc9f [diff] |
Fix build with recent version of GCC (#2661) Without this patch, the definition of the custom deleter would drop the attributes of the `fclose` function. BUG=#2660
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.: