| commit | a7ff71a56c388f4f513644f0837a9b000964fb77 | [log] [tgz] |
|---|---|---|
| author | TFLM-bot <tflm-github-bot@google.com> | Thu Dec 07 08:18:40 2023 -0800 |
| committer | GitHub <noreply@github.com> | Thu Dec 07 16:18:40 2023 +0000 |
| tree | fcdee68e2761e48cd1d290b252b0000a39f56682 | |
| parent | 83bbff9a0e2d8893c71083a56a70bc6d2369fb49 [diff] |
Automated sync from github.com/tensorflow/tensorflow (#2346) BUG=automated sync from upstream NO_CHECK_TFLITE_FILES=automated sync from upstream
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.: