| commit | 569ed29b9d907b1ec311aa4d413500af23124c3d | [log] [tgz] |
|---|---|---|
| author | Ryan Kuester <kuester@bdti.com> | Wed Jul 24 13:49:24 2024 -0500 |
| committer | GitHub <noreply@github.com> | Wed Jul 24 18:49:24 2024 +0000 |
| tree | d6bde71e96ac8fc5d66bf0b00a529d929ab7859c | |
| parent | f7d989eb89edc411c3e3a50a1cb8f6c1989c9905 [diff] |
build(py): add hexdump requirement (#2637) Add the Python distribution package `hexdump`, to be used in tests and utilities which display raw memory. BUG=#2636
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.: