| commit | 22547dcdc1d45ced1b7944c3e9ef71c479a3b890 | [log] [tgz] |
|---|---|---|
| author | Naveen-Dodda <ndodda@google.com> | Thu Dec 07 20:22:19 2023 +0000 |
| committer | Naveen Dodda <ndodda@google.com> | Fri Jan 05 02:36:37 2024 +0000 |
| tree | 2ddb07096b8a417eeb28f0774b5638ad885c384e | |
| parent | dfa8e5eb4399e11a008f1179d5d413dc93f392f2 [diff] |
changes to optimize max_pool for kelvin Change-Id: Id7a7d12c4a341deaa106c3a6ac00167dc237ec91
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.: