commit | 34635a6c5974be2b1ac27e608165658293d24573 | [log] [tgz] |
---|---|---|
author | Shlomi Regev <shlmregev@users.noreply.github.com> | Tue Nov 21 17:03:15 2023 +0100 |
committer | GitHub <noreply@github.com> | Tue Nov 21 16:03:15 2023 +0000 |
tree | e9851b9e6dfb3ae922d35a623ce0540eab917a42 | |
parent | 02642342a386434b02cc3b7d88af56e3dd35eb31 [diff] |
Add support for building Position Independent Code (PIC) for Hexagon (#2323) BUG=312422326
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.: