commit | 929321c458538964a6fb57f1a6ba2c82ed28aa30 | [log] [tgz] |
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author | Advait Jain <advaitjain@users.noreply.github.com> | Mon Jun 12 13:19:54 2023 -0700 |
committer | GitHub <noreply@github.com> | Mon Jun 12 20:19:54 2023 +0000 |
tree | dcae92a65a17a51ee8fbf606d921094baa8bc5d1 | |
parent | 5b7374fac4175571bb5aa28f516ac1a963033269 [diff] |
Add rascani@ as CODEOWNER for ci and .github directories. (#2042) BUG=cleanup
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.: