sushreebarsa

@jyochichili Thank you for the response! Could you please move this issue to closed status if it has been resolved? Thank you!

@Moddingear Please ensure you are using a TensorFlow Lite version compatible with your Coral TPU model. Your OpenCV version should support Coral TPU acceleration as well. Thank you!

@sachinprasadhs I was able to replicate [this](https://colab.research.google.com/gist/sushreebarsa/7821a0b8eea35ca280e87a7fd6a0ab9e/62951.ipynb) issue on colab, please have a look at this. Thank you!

@Sehun0819 Could you please let us know which TF version you are using ? I tried to replicate the issue reported [here](https://colab.research.google.com/gist/sushreebarsa/53bc365aabf476ce3a6bdea5ec62e32d/62950.ipynb) but I faced `InvalidArgumentError` . Kindly check the...

@aaronsuydam The introduction of Windows Subsystem for Linux 2 (WSL 2) provided a more efficient and consistent platform for GPU acceleration on Windows, leveraging established Linux builds. This delivers full...

@aaronsuydam If you don't want to use WSL2 then there are a few alternatives. If your app's functionality can be achieved with TensorFlow 2.10 or older, you can utilize the...

@aaronsuydam You are right! Microsoft paused development of the TensorFlow-DirectML-Plugin in October 2023 in favor of focusing on ONNX Runtime for inference scenarios with DirectML. Currently, there's no concrete information...

@basnetr Could you try to modify your CustomModel class to incorporate the inputs and output attributes into the configuration returned by get_config(). It's recommended to use model.save('my_model.keras') for the native...

@basnetr I was able to replicate the issue reported [here](https://colab.research.google.com/gist/sushreebarsa/e8fc1806183c88fe31aa0e162f068f01/62927.ipynb). This issue might be occurring due to Keras and TensorFlow incompatibility in versions between 2.12 and 2.15. While downgrading Keras...

@AshebirGetuBelete Could you please provide more context on the issue reported here? Thank you!