| commit | 2b127fd8e4c90228d14561c54812c5369dea2c5d | [log] [tgz] |
|---|---|---|
| author | David Davis <ddavis-2015@users.noreply.github.com> | Wed Aug 14 10:02:52 2024 -0700 |
| committer | GitHub <noreply@github.com> | Wed Aug 14 17:02:52 2024 +0000 |
| tree | 43d363351ffc6a84ce3ec9dc759cd8092c0c6de4 | |
| parent | 95da7a8cd2f5236da0e0d414bd812bc33e4708d5 [diff] |
TFLM compression changes (3rd) (#2658) @tensorflow/micro Updates to support TFLM compression: MicroContext MicroInterpreterContext FakeMicroContext KernelRunner bug=#2657
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.: