How to use Tensorflow or TFLite for Renesas Boards. There are almost no tutorials on official tf website also.
@Varun-pro,
The TensorFlow provides TensorFlow Lite for Microcontrollers which is designed to run machine learning models on microcontrollers and other devices with only a few kilobytes of memory.

Please check the list of [supported platforms](https://www.tensorflow.org/lite/microcontrollers#supported_platforms) which includes [STM32F746 Discovery kit](https://www.st.com/en/evaluation-tools/32f746gdiscovery.html).

The documentation provides a hello world template and other examples which can be used as templates to create own projects.

This [documentation](https://www.tensorflow.org/lite/microcontrollers/library) outlines the basic structure of the C++ library and provides information about creating your own project.

Thank you. This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you. This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further. Are you satisfied with the resolution of your issue?
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### Issue type

Support

### Have you reproduced the bug with TensorFlow Nightly?

No

### Source

source

### TensorFlow version

2.14

### Custom code

Yes

### OS platform and distribution

Linux Ubuntu 20.04

### Mobile device

Renesas Board

### Python version

3.8

### Bazel version

6.1.0

### GCC/compiler version

9

### CUDA/cuDNN version

11.8/8.6

### GPU model and memory

AXM-8-256

### Current behavior?

I want to run a resnet50 model on Renesas v4h board using tensorflow or tflite. Does tflite/tensorflow support Renesas v-series boards . If so , then do we need to cross-compile tflite for renesas board  and how to run the model on board?

### Standalone code to reproduce the issue

```shell
How to run tensorflow/tflite models on renesas v-series boards?
```


### Relevant log output

_No response_