| commit | f50dac75dbf329a70f2d00ea4b6dd7b015dd7ebd | [log] [tgz] |
|---|---|---|
| author | Alex Van Damme <atv@google.com> | Wed Apr 24 15:06:54 2024 -0700 |
| committer | Alex Van Damme <atv@google.com> | Wed Apr 24 15:06:54 2024 -0700 |
| tree | 799e34240365dbd89377d2e030924b420b16ec48 | |
| parent | e6de9ac3691fba8baa96ac8169eb04675dd74b59 [diff] |
Delegate kernel selection for int8 conv to our library - kelvin::opt::conv_per_channel_b8 now selects from several optimized implementations, or falls back to the generic scalar implementation. Change-Id: I26ea73368ea43728575ff1557330326399ebacf7
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.: