| commit | dc4dcb7433c14897c5668d1b46b4c773b91f4ed1 | [log] [tgz] |
|---|---|---|
| author | Daniele Parravicini <98016455+DanieleParravicini-Synthara@users.noreply.github.com> | Mon Jun 24 15:56:32 2024 +0200 |
| committer | GitHub <noreply@github.com> | Mon Jun 24 13:56:32 2024 +0000 |
| tree | 8c6b0606e2f51005e492f09fe0fd904b4f65cb07 | |
| parent | 8cd499a14ef801d997156047e73ea4c42748ea2b [diff] |
Adds GetCurrentOperatorIndex to micro_interpreter (#2605) In this way an AOT can add metadata that could then be accessed with the couple GetCurrentSubgraphIndex, GetCurrentOperatorIndex. These can be accessed from tflite::GetMicroContext(context)->graph() Refers to #2593 BUG=#2593
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.: