| commit | 5beca7c52edb874e79ae531ccb14167a6651e300 | [log] [tgz] |
|---|---|---|
| author | Måns Nilsson <mans.nilsson@arm.com> | Tue Nov 14 22:23:04 2023 +0100 |
| committer | GitHub <noreply@github.com> | Tue Nov 14 21:23:04 2023 +0000 |
| tree | bb88b3e0b1b7c8acd018c5ec7eacdeab81202fb9 | |
| parent | ecb3b320a550814fc96b6a2179762377f4ad06be [diff] |
CMSIS-NN: Add int4 kernel support to conv2d, depthwise and fully connected (#2314) BUG=CMSIS-NN has support for int4 packed weights, hence updating "glue" in TFLM Co-authored-by: Adrian Lundell <adrian.lundell@arm.com>, Ryan O'Shea <ryan.oshea3@arm.com> and Måns Nilsson <mans.nilsson@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.: