| commit | a7c6d57bd11a67fda74b41292167e14f0e750db4 | [log] [tgz] |
|---|---|---|
| author | Derek Chow <derekjchow@google.com> | Thu Oct 12 16:24:04 2023 -0700 |
| committer | Derek Chow <derekjchow@google.com> | Thu Oct 12 16:24:04 2023 -0700 |
| tree | 0604c90cf35e966e56c8bfbe891de99bc0c33341 | |
| parent | 3a7d5b9350233b5f7804b3a6e42545171cb66cca [diff] |
Invoke optimized depthwise convolution. Change-Id: I099ec7a9345e279b91fdd6de4c0ae1d33ddd0bc2
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.: