commit | fd3ca738e4b11599d83ee0253e14025bcd9a4372 | [log] [tgz] |
---|---|---|
author | suleshahid <110432064+suleshahid@users.noreply.github.com> | Tue Jan 30 16:24:37 2024 -0800 |
committer | GitHub <noreply@github.com> | Wed Jan 31 00:24:37 2024 +0000 |
tree | bd1d7e5e28ef835bdfbff10437228267e46f937e | |
parent | c93be16630de1bec1831d1bf88d253e48bfb2d3d [diff] |
adds dep needed for xtensa fft (#2409) BUG=[323060097](https://b.corp.google.com/issues/323060097)
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.: