| commit | ad2d40bcb7c94a9f7d3f710181452bdabc14c954 | [log] [tgz] |
|---|---|---|
| author | Alex Van Damme <atv@google.com> | Tue May 07 16:28:33 2024 +0000 |
| committer | Gerrit Code Review <noreply-gerritcodereview@google.com> | Tue May 07 16:28:33 2024 +0000 |
| tree | bf7b2507123ba544c8917a79d10c84e88d8ad5f6 | |
| parent | b3d19eefba01e091b6fd4829f22c32f3e3bafedc [diff] | |
| parent | f50dac75dbf329a70f2d00ea4b6dd7b015dd7ebd [diff] |
Merge "Delegate kernel selection for int8 conv to our library"
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.: