 TfLiteGpuDelegate Init: BATCH_MATMUL: Node 333 is already a consumer of the value 334
@harrylal Could you try for disabling specific GPU delegate optimizations related to Batch Matrix Multiplication, if applicable?
Thank you! @sushreebarsa  Thank you for the response. 

Exporting the model on a different enviornement ([ultralytics docker](https://github.com/ultralytics/ultralytics)) resolved this issue.



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### Issue type

Support

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

Yes

### Source

source

### TensorFlow version

2.16

### Custom code

Yes

### Mobile device

Android 10

### GPU model and memory

Mali - G72*3 

### Tflite Model
[tflite model](https://drive.google.com/file/d/1rga1drfZMuMB2BFuU2_4lMqhJxbR5tVA/view?usp=sharing)
### Current behavior?

Expected Behavior: The model should initialize and run on the GPU as it does on the CPU.
Actual Behavior: When attempting to run the model on the GPU using the TensorFlow Lite GPU delegate, the initialization fails.

### Standalone code to reproduce the issue

```shell
adb install -r -d -g android_arm_benchmark_model.apk
adb push TwinLiteNetLane.tflite /data/local/tmp/
adb shell am start -S   -n org.tensorflow.lite.benchmark/.BenchmarkModelActivity   --es args '"--graph=/data/local/tmp/TwinLiteNetLane.tflite --use_gpu=true"'
```


### Relevant log output

```shell
04-29 08:55:31.116   502   502 I ADB_SERVICES: service_to_fd shell,v2,TERM=xterm-256color,raw:am start -S -n org.tensorflow.lite.benchmark/.BenchmarkModelActivity --es args "--graph=/data/local/tmp/TwinLiteNetLane.tflite --use_gpu=true"
04-29 08:55:32.058  2766  2766 I tflite_BenchmarkModelActivity: Running TensorFlow Lite benchmark with args: --graph=/data/local/tmp/TwinLiteNetLane.tflite --use_gpu=true
04-29 08:55:32.062  2766  2766 I tflite  : Log parameter values verbosely: [0]
04-29 08:55:32.062  2766  2766 I tflite  : Graph: [/data/local/tmp/TwinLiteNetLane.tflite]
04-29 08:55:32.063  2766  2766 I tflite  : Use gpu: [1]
04-29 08:55:32.064  2766  2766 I tflite  : Loaded model /data/local/tmp/TwinLiteNetLane.tflite
04-29 08:55:32.064  2766  2766 I tflite  : Initialized TensorFlow Lite runtime.
04-29 08:55:32.065  2766  2766 I tflite  : Created TensorFlow Lite delegate for GPU.
04-29 08:55:32.065  2766  2766 I tflite  : GPU delegate created.
04-29 08:55:32.072  2766  2766 I tflite  : Replacing 395 out of 395 node(s) with delegate (TfLiteGpuDelegateV2) node, yielding 1 partitions for the whole graph.
04-29 08:55:32.077  2766  2766 E tflite  : TfLiteGpuDelegate Init: BATCH_MATMUL: Node 333 is already a consumer of the value 334
04-29 08:55:32.077  2766  2766 I tflite  : Created 0 GPU delegate kernels.
04-29 08:55:32.077  2766  2766 E tflite  : TfLiteGpuDelegate Prepare: delegate is not initialized
04-29 08:55:32.077  2766  2766 E tflite  : Node number 395 (TfLiteGpuDelegateV2) failed to prepare.
04-29 08:55:32.078  2766  2766 E tflite  : Restored original execution plan after delegate application failure.
04-29 08:55:32.079  2766  2766 E tflite  : Failed to apply GPU delegate.
```
