| commit | 4077ba8a331e8e6979f0a3d4e40a5766f7238630 | [log] [tgz] |
|---|---|---|
| author | Lun Dong <lundong@google.com> | Tue Jun 25 22:20:25 2024 -0700 |
| committer | Lun Dong <lundong@google.com> | Thu Jun 27 14:31:48 2024 -0700 |
| tree | cb6d7ed9aa4502dea4be8c36e6cc6e49d2c15db2 | |
| parent | e1459bc02c2cb9ccfc5a4d80d018054f690bed34 [diff] |
tflite-micro: add max_pooling int16 kernel for Kelvin Change-Id: I71cde103ead25bc6ebcf158217008a78a351e666
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.: