tflite-micro
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tensorflow
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
Use posix separator `/` instead of Windows `\` for better compatibility when building with Makefile on Windows. The original version generate a wrong source file path when building with Makefile...
Hello, I'm having trouble testing Dynamically quantized models on my DSP simulator. I figured it might be not supported on TFLM. I spent much time searching for an official statement...
Add big-endian support for specific target. The codes are conditionally compiled by related macros. @shlmregev
BUG=#2357 ### Description The proposed solution includes ```signal_ops``` to the tflite_micro python package. Adding signal_ops introduces a linker dependency to the specific tensorflow-cpu version the tflite_micro package was build against....
This PR is part of the work to port operator REDUCE_PROD from lite to micro, as tracked in this [issue #2527](https://github.com/tensorflow/tflite-micro/issues/2527)
### Description The existing tests for Cortex-M and Arm Compiler 6 use Arm Virtual Hardware instances on AWS. Same function is now supplied in a docker image available on the...
BUG=automated sync from upstream NO_CHECK_TFLITE_FILES=automated sync from upstream
This comment summarize the problem: https://github.com/tensorflow/tflite-micro/pull/2545#issuecomment-2082843877 How to reproduce: Make sure tflite_micro is not installed. Either of these should run successfully, ./tensorflow/lite/micro/tools/ci_build/test_generate_integration_tests.sh ./tensorflow/lite/micro/tools/ci_build/test_generate_micro_mutable_op_resolver_tests.sh Now pip install tflite_micro and try to...
BUG=https://github.com/tensorflow/tflite-micro/issues/2564
Cortex-M [run number 1365](http://github.com/tensorflow/tflite-micro/actions/runs/9089825176) failed. This issue has been automatically generated for notification purposes.
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Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).