commit | 1973d40343c44648636146fd1b5a818ff9eacba7 | [log] [tgz] |
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author | Ryan OShea <86965113+ArmRyan@users.noreply.github.com> | Thu May 16 17:40:32 2024 +0200 |
committer | GitHub <noreply@github.com> | Thu May 16 15:40:32 2024 +0000 |
tree | 13f5782d6a5a74326a8d7d55d8ea947a2983da28 | |
parent | b281a0df5faf8b95aae008e67fefebc2dc5e38b6 [diff] |
Add cortex300 download for aarch64 linux host (#2573) * Updates x86 corstone300 version BUG=Corstone300 tests were not able to be ran on aarch64 hosts Author: Ryan O'Shea <ryan.oshea3@arm.com>
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 |
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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 |
---|---|
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.: