commit | 5e17f076bc3780e6e3df614279f7bb898a779a08 | [log] [tgz] |
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author | Shlomi Regev <shlmregev@users.noreply.github.com> | Tue Mar 19 16:23:31 2024 +0100 |
committer | GitHub <noreply@github.com> | Tue Mar 19 15:23:31 2024 +0000 |
tree | aa8b3be2bba15e98a74db5f296cc864d91d61e40 | |
parent | 178cfebaaedcc2321cc896ab7d6d14045c9d826a [diff] |
Add option to rename symbols in Nature DSP library (#2509) BUG=b/327609938
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.: