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Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).

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The change introduces the support for ML models with 16 bit activations and 8 bit weights in the ExpandDims operation. BUG=fixes #68293

ci:ready_to_merge

I quantized a cnn to an int8 one and measured the average inference speed, the latency is 2x slower than the original fp32 model. Then I used the profile tools...

Begin using -std=c++17 and -std=c17 in Makefile builds on all platforms. Bazel builds have been using C++17 since 52c9568. BUG=see description

@tensorflow/micro initial header file changes/additions. bug=#2646

Cortex-M [run number 1544](http://github.com/tensorflow/tflite-micro/actions/runs/10087978372) failed. This issue has been automatically generated for notification purposes.

ci:bot_issue

@tensorflow/micro Initial header file changes/additions

I am trying to run the Mini speech commands example and am facing the error `Didn't find op for builtin opcode 'CONV_2D' version '3'. An older version of this builtin...

Add a type, tflite::StaticVector, which behaves like std::vector, but which avoids heap memory allocation. BUG=#2636

ci:ready_to_merge

Adding this for tracking as recommended in the contribution guidelines. ``` Type 'INT16' is not supported by gather. Node GATHER (number 4f) failed to prepare with status 1 ```