| commit | e5e230552525c012c3b6912761c9a01728ad225c | [log] [tgz] |
|---|---|---|
| author | Måns Nilsson <mans.nilsson@arm.com> | Mon Apr 29 19:39:07 2024 +0200 |
| committer | GitHub <noreply@github.com> | Mon Apr 29 17:39:07 2024 +0000 |
| tree | e48eb9543431daa4d6377071a29fe1a919d8a7f4 | |
| parent | fe4229cb3cb1adec112c0aabb958d904b7d3703d [diff] |
CMSIS-NN: Add int32 bias support int16xint8 conv (#2557) BUG=CMSIS-NN glue is updated to support int32bias for int16x8
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.: