| commit | 02642342a386434b02cc3b7d88af56e3dd35eb31 | [log] [tgz] |
|---|---|---|
| author | jwithers <jpwithers@gmail.com> | Wed Nov 15 15:44:59 2023 -0800 |
| committer | GitHub <noreply@github.com> | Wed Nov 15 23:44:59 2023 +0000 |
| tree | e502b4f4faf14290aede5384aade85f01d8dd70b | |
| parent | 7811156ef476bdea9cc5bf38b04703908552b4eb [diff] |
adding twine to pypi upload script (#2318) This adds the twine module to .github/workflows/pypi_build.yml BUG=request from RJ
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.: