sushreebarsa

@w3sip Could you try to temporarily disable the XNNPack delegate during the build of one of the frameworks. This can be done by modifying the build settings or configuration options....

@w3sip While there's no direct way to build a subset of TensorFlowLiteSelectTfOps_framework, here are effective approaches to reduce its size for iOS apps: such as follows; 1. Identify Essential Ops:...

@SOLEROM Could you check if you have built TFLite with -DTFLITE_ENABLE_GPU=ON during conversion? Building TFLite without GPU support will prevent GPU usage. Please ensure your GPU is properly configured and...

@SOLEROM TFLite leverages "delegates" to offload computations to hardware accelerators like GPUs. You'll need to add the appropriate GPU delegate library to your project, depending on your platform (Android, iOS,...

@SOLEROM Compiling the app with -DTFLITE_ENABLE_GPU=ON in the cmake command won't create the delegate for the GPU. While enabling GPU support builds the necessary libraries for GPU execution, it doesn't...

@wonjeon Could you try cleaning the build directory with `cmake --build . --target clean` and then rebuilding with `cmake --build `, please make sure that you have installed all compatible...

@Skillnoob Could you please make sure that you are using the correct TensorFlow Lite model and interpreter for your Edge TPU device? The Edge TPU hardware and firmware needs to...

@rafaelubalmw We have raised a fix internally as per your suggestions. Once it is validated it can resolve this issue. Thank you!

@rafaelubalmw Could you please have a look at this [comment](https://github.com/tensorflow/tensorflow/pull/62079) in the PR, in `TFL_NumElementsEqualsDim` 4 would be good for the bias size. Thank you!

@ThomasRichtsfeld Could you please let us know the TF version you are using? Please refer to [Build from Source ](https://www.tensorflow.org/install/source) and [GPU acceleration delegate ](https://www.tensorflow.org/lite/android/delegates/gpu). Could you please create the...