| commit | f9044b03343d282e9f7dc8db489e6f02dc36278c | [log] [tgz] |
|---|---|---|
| author | RJ Ascani <rjascani@google.com> | Fri Mar 15 14:04:11 2024 -0700 |
| committer | GitHub <noreply@github.com> | Fri Mar 15 14:04:11 2024 -0700 |
| tree | dcaf8b9c583c613d4c36383718e812618fe0ab87 | |
| parent | 32876bce6933d91d6f7e07131d31bb22ad9dbb0c [diff] |
Remove Wave as dependency (#2508) The Wave pypi package was recently updated, and the new version caused failures in our CI for pip installing it. From what I can tell, this package is no longer being used, so this PR simply removes it as a build dependency. BUG=b/329887147
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.: