| commit | 17d0e7f6bb4edb70acaa69ddb6734cbb9ebfe49d | [log] [tgz] |
|---|---|---|
| author | cad-audio <86048415+cad-audio@users.noreply.github.com> | Tue Jan 02 10:39:24 2024 -0800 |
| committer | GitHub <noreply@github.com> | Tue Jan 02 18:39:24 2024 +0000 |
| tree | 0e412d044ad8e2363e43bf1351419f727f1fc32e | |
| parent | 6576ef7f6f56e9ae7ee6701217c9817e2b7f3253 [diff] |
Xtensa LSTM: (#2150) Enabled LSTM kernel support for XTENSA target. Updated xtensa_downloads script to use the latest HiFi NN Libraries. The 8x16 unit test cases has non-zero zero_point for 16 bit output. [https://github.com/tensorflow/tflite-micro/blob/main/tensorflow/lite/micro/kernels/testdata/lstm_test_data.cc#L255C1-L258C61](url) Default run for all the 8x16 unit test cases result: FAIL. This is due to non-zero output offset value. BUG=#1867
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.: