commit | deec0d81ed94ff9489b42a159faa2425638ea5d5 | [log] [tgz] |
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author | Måns Nilsson <mans.nilsson@arm.com> | Thu Apr 18 00:17:34 2024 +0200 |
committer | GitHub <noreply@github.com> | Wed Apr 17 22:17:34 2024 +0000 |
tree | 1af0589bae4aa74fa8ef2a2f26f7ccaa599067f3 | |
parent | f99fcf84ed0555341f7247fc782a6a9b994569c3 [diff] |
gen_micro_mutable script: update import path (#2545) BUG=https://github.com/tensorflow/tflite-micro/issues/1973
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 |
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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 |
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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.: