commit | 5d2b26d85ea176d0b735ae39f5dacf762e55e97e | [log] [tgz] |
---|---|---|
author | TFLM-bot <tflm-github-bot@google.com> | Tue Jun 27 14:48:58 2023 -0700 |
committer | GitHub <noreply@github.com> | Tue Jun 27 21:48:58 2023 +0000 |
tree | 6ff1ba7ad7919a58d1a228ce6c7ed06feb12afca | |
parent | 360f05d2943252e02b02642612d42c2885ca5158 [diff] |
Automated sync from github.com/tensorflow/tensorflow (#2087) BUG=automated sync from upstream NO_CHECK_TFLITE_FILES=automated sync from upstream
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.: