| commit | 20fd5b23ac305918cf391158e931573c3507b101 | [log] [tgz] |
|---|---|---|
| author | RJ Ascani <rjascani@google.com> | Wed Feb 28 10:20:50 2024 -0800 |
| committer | GitHub <noreply@github.com> | Wed Feb 28 10:20:50 2024 -0800 |
| tree | fdb08bcfd4ac2e06ed5041896f88ede74a5c566d | |
| parent | b991e726b01393580fafc192d6e18ef7447180fb [diff] |
Prevent runtime_shape.cc removal during sync (#2484) Despite existing in TFLite, the runtime_shape.h has long differed between TFLite and TFLM. The file is not copied during the sync and the sync script does a `git checkout` on the file to ensure that the existing version in the TFLM tree remains. In PR #2476, we needed to add a runtime_shape.cc file. This PR ensures that the runtime_shape.cc file will not be removed during the sync by performing a `git checkout` on the existing file. BUG=323856831
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.: