commit | b3d19eefba01e091b6fd4829f22c32f3e3bafedc | [log] [tgz] |
---|---|---|
author | Naveen Dodda <ndodda@google.com> | Wed Apr 17 17:46:51 2024 +0000 |
committer | Naveen Dodda <ndodda@google.com> | Fri May 03 18:28:10 2024 +0000 |
tree | b6fb1cb21838b5f4be392c17d6e6f3312f18510c | |
parent | e6de9ac3691fba8baa96ac8169eb04675dd74b59 [diff] |
depthwise conv for 2d kernels * draft version of kernel is working *Kernel tirggers for pad =0 and int8 *need to add more kelvin instrcutions Change-Id: Ifb16c7f7508458cede8bd078c657b0106e348a99
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 |
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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.: