| commit | aa3fb6a13c9d8bbc8de57420c6c27ccd1f52e9f2 | [log] [tgz] |
|---|---|---|
| author | Lun Dong <lundong@google.com> | Tue May 07 02:12:55 2024 -0700 |
| committer | Lun Dong <lundong@google.com> | Tue May 07 10:09:37 2024 -0700 |
| tree | 30a7cfcc93ec087cd28a5fd5d056913f160dc3e3 | |
| parent | ad2d40bcb7c94a9f7d3f710181452bdabc14c954 [diff] |
tensorflow/tflite-micro: refactoring TFLM Kelvin kernel This is the first version for refactoring TFLM Kelvin kernel. Change-Id: Id61d215e4e6df8e3a09f4663cc5a7f23885f071f
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.: