commit | ca5358f4680dbd94717a4c6bd77186bc1c799e1b | [log] [tgz] |
---|---|---|
author | cad-audio <86048415+cad-audio@users.noreply.github.com> | Wed Jan 10 09:37:33 2024 -0800 |
committer | GitHub <noreply@github.com> | Wed Jan 10 17:37:33 2024 +0000 |
tree | 0f8b1930c70cc0ac0cb3c2216715e91beff8f730 | |
parent | 85e19ddd45817acff19122c4957b6a27b82c4d78 [diff] |
DTLN example: (#2012) Adding DTLN example to demonstrates LSTM layers on HiFi DSP and NOT for evaluating noise suppression quality. BUG=none
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 |
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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.: