| commit | 904edd2ce23151f53f2e59c77820b4ad43ab445d | [log] [tgz] |
|---|---|---|
| author | TFLM-bot <tflm-github-bot@google.com> | Fri Nov 10 08:17:26 2023 -0800 |
| committer | GitHub <noreply@github.com> | Fri Nov 10 16:17:26 2023 +0000 |
| tree | fd4c775385b353fb3dcebc269fe4833a6797de85 | |
| parent | a4d6c5c883d904b76056fc55511000d332641ec0 [diff] |
Automated sync from github.com/tensorflow/tensorflow (#2308) 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.: