| commit | f1bf04912b206a4e4e234bcbf3e71d16fa8dad93 | [log] [tgz] |
|---|---|---|
| author | Naveen Dodda <ndodda@google.com> | Sat Jun 08 16:49:34 2024 +0000 |
| committer | Naveen Dodda <ndodda@google.com> | Mon Jun 24 17:50:17 2024 +0000 |
| tree | 992d158ea8982f56d99c958bed48e8622f20f696 | |
| parent | 29ee45ced8b79565a9f7ec2cee8e92ebe31f74a8 [diff] |
Kelvin resize nearest neighbors tfmicro Change-Id: Ifd38bbb9a5ff66e89d70cc83c69ece71966378ed
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.: