commit | 944b23edbffb3fda1ad74b55b9cff2480d9368b7 | [log] [tgz] |
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author | RJ Ascani <rjascani@google.com> | Sat Nov 25 07:54:22 2023 -0800 |
committer | GitHub <noreply@github.com> | Sat Nov 25 07:54:22 2023 -0800 |
tree | f28d844b83e44b6e45eb5cfa951fa435244e8e73 | |
parent | ecf56f48fcfe6737de5a065ff0b11172133ff5cd [diff] |
Use branch_protection_injection_mode for mergify (#2328) The option require_branch_protection in queue_rules is also deprecated. This PR replaces it with the queue_rules option branch_protection_injection_mode. 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 |
---|---|
CI (Linux) | |
Code Sync |
This table captures platforms that TFLM has been ported to. Please see New Platform Support for additional documentation.
Platform | Status |
---|---|
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.: