commit | 8f143b5fe098e7b2ba965e76da205039a45fe8f8 | [log] [tgz] |
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author | RJ Ascani <rjascani@google.com> | Fri Mar 15 09:27:30 2024 -0700 |
committer | GitHub <noreply@github.com> | Fri Mar 15 09:27:30 2024 -0700 |
tree | 9be755c2c5759f545e7138fa332c41beff57b056 | |
parent | 74c4632d4d29ca7c8242729e6f3aac97c488558d [diff] |
Add workaround for newer GitHub runners (#2505) Asan in llvm 14 provided in ubuntu 22.04 is incompatible with high-entropy ASLR in much newer kernels that GitHub runners are using leading to random crashes: https://reviews.llvm.org/D148280 This workaround comes from the discussion in: https://github.com/actions/runner-images/issues/9491 BUG=#2501
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.: