Repository: tensorflow
Issue: Error when loading TFLite model on Android with GPU Delegate
Labels: stat:awaiting tensorflower,type:performance,TFLiteConverter,TFLiteGpuDelegate,TF2.14

### 1. System information

- OS Platform and Distribution: TFLite conversion on Windows 10 and run models on Android 13
- TensorFlow installation: pip package
- TensorFlow library: 2.14.0

### 2. Code

I understand the importance of providing a reproducible code for better troubleshooting. Given the size and complexity of the model, I'm unable to provide a simplified version immediately. However, I am actively working on preparing one to help diagnose the issue more effectively.

In the meantime, if there are any insights, workarounds, how to debug, or known issues that you can infer from the error message I've shared below, it would be immensely helpful.

### 3. Failure after conversion
Model produces correct results on my PC, but an error occurs when tyring to load it on an Android device.
Any insights or solutions would be greatly appreciated. I'd like to know if there's something I'm missing or if this is a known issue.

### 5.  Any other info / logs
Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached.

I'm currently trying to run a TFLite model on an Android mobile device using the GPU Delegate. While the converted TFLite model works perfectly on my PC, I encounter an error when trying to load it on the mobile device. Here's the error message I received:
```
Internal error: Failed to apply delegate: Failed to build program executable - Build program failure<source>:69:103: error: expected expression
{half4 second_value = read_imageh(src_tensor_1_image2d, smp_zero, (int2)(((0) * shared_int4_0.w + (())), ((0) * shared_int4_1.x + ((Z)))));
                                                                                                 ^
error: Compiler frontend failed (error code 63)
Falling back to OpenGL

TfLiteGpuDelegate Init: Batch size mismatch, exp
        at org.tensorflow.lite.NativeInterpreterWrapper.createInterpreter(Native Method)
        at org.tensorflow.lite.NativeInterpreterWrapper.init(NativeInterpreterWrapper.java:110)
  	at org.tensorflow.lite.NativeInterpreterWrapper.<init>(NativeInterpreterWrapper.java:73)
  	at org.tensorflow.lite.NativeInterpreterWrapperExperimental.<init>(NativeInterpreterWrapperExperimental.java:36)
  	at org.tensorflow.lite.Interpreter.<init>(Interpreter.java:232)
  	at com.XXX.ModelHelper.loadModelFromStorage(ModelHelper.kt:171)
```

While there's no issue loading with TFLite CPU, I encounter the following error during execution. What's weird is that even though I'm feeding the same size of data on both PC and mobile, this error only appears on the mobile. 
```
Shutting down VM
FATAL EXCEPTION: main
Process: com.XXX, PID: 8445
java.lang.IllegalStateException: Internal error: Unexpected failure when preparing tensor allocations: tensorflow/lite/kernels/reshape.cc:92 num_input_elements != num_output_elements (81920 != 1310720)
Node number 995 (RESHAPE) failed to prepare.
	at org.tensorflow.lite.NativeInterpreterWrapper.allocateTensors(Native Method)
	at org.tensorflow.lite.NativeInterpreterWrapper.allocateTensorsIfNeeded(NativeInterpreterWrapper.java:308)
	at org.tensorflow.lite.NativeInterpreterWrapper.run(NativeInterpreterWrapper.java:248)
	at org.tensorflow.lite.InterpreterImpl.runForMultipleInputsOutputs(InterpreterImpl.java:101)
	at org.tensorflow.lite.Interpreter.runForMultipleInputsOutputs(Interpreter.java:95)
	at com.XXX.ModelHelper.runModel(ModelHelper.kt:316)
```

I have confirmed that the same error occurs on at least two different Android devices (Pixel 7 Pro and Galaxy S20 Exynos).

Thank you for your understanding and assistance. I truly appreciate any guidance you can provide.