| commit | 8085cecefcc2daefbc4c4480c644b59052841b95 | [log] [tgz] |
|---|---|---|
| author | Måns Nilsson <mans.nilsson@arm.com> | Fri Feb 23 19:03:57 2024 +0100 |
| committer | GitHub <noreply@github.com> | Fri Feb 23 18:03:57 2024 +0000 |
| tree | 400876d3bad9ca820fdcde47ec8639e1a277da71 | |
| parent | f5e498b68bddce1ed18c96f8f4b5e866fdd0dcac [diff] |
Add kernel build flag for prioritizing speed or size (#2408) Adds a build flag that can be used by any kernel to provide a different implementation depending on use case. Adds a first use case for cmsis-nn transpose conv. The background for this PR is in https://github.com/tensorflow/tflite-micro/pull/2345 BUG=none
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.: