| commit | 5261ba06b74449c52904c6b77b8f2b20f64096f9 | [log] [tgz] |
|---|---|---|
| author | Ryan OShea <86965113+ArmRyan@users.noreply.github.com> | Fri Dec 08 17:38:56 2023 +0000 |
| committer | GitHub <noreply@github.com> | Fri Dec 08 17:38:56 2023 +0000 |
| tree | 4f89df99d88e0d69e3a2bc22cbef46cc52d0a3a9 | |
| parent | 5f5fcc8af6b059a41f04b26e6b575558aea11fd1 [diff] |
CMSIS-NN: Update cortex generic target with M85 for GCC (#2341) Updates gcc toolchain to 13.2 Removes m85 gcc workaround Adds arm64 hosted toolchain for darwin BUG=GCC 13.2 has support for march=M85 so this updates the toolchain version. Authored-by: Ryan O'Shea <ryan.oshea3@arm.com>
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.: