Getting [java.lang.IllegalArgumentException: Internal error: Error applying delegate] error while applying GPU Delegate about tensorflow

[vytanase]

override suspend fun initModel(): InitModelResult {
    return withContext(dispatcher) {
        val loadResult = loadModelFile(context)

        if (loadResult.isFailure) {
            val exc = loadResult.exceptionOrNull()
            return@withContext if (exc is FileNotFoundException) {
                InitModelResult.Error(AutoCompleteServiceError.MODEL_FILE_NOT_FOUND)
            } else {
                InitModelResult.Error(AutoCompleteServiceError.MODEL_NOT_INITIALIZED)
            }
        }

        val options = Interpreter.Options()
        val myDelegate = GpuDelegate()
        options.addDelegate(myDelegate)

        try {

            val model = loadResult.getOrNull()
            isInitialized = model?.let {
                interpreter = Interpreter(it, options)
                true
            } ?: false

            return@withContext if (isInitialized) {
                InitModelResult.Success
            } else {
                InitModelResult.Error(AutoCompleteServiceError.MODEL_NOT_INITIALIZED)
            }
        } catch (e: Exception) {
 
            e.printStackTrace()
            return@withContext InitModelResult.Error(AutoCompleteServiceError.MODEL_INITIALIZATION_FAILED)
        }
    }
}
// Try this code snippet 

[walker-ai]

override suspend fun initModel(): InitModelResult {
    return withContext(dispatcher) {
        val loadResult = loadModelFile(context)

        if (loadResult.isFailure) {
            val exc = loadResult.exceptionOrNull()
            return@withContext if (exc is FileNotFoundException) {
                InitModelResult.Error(AutoCompleteServiceError.MODEL_FILE_NOT_FOUND)
            } else {
                InitModelResult.Error(AutoCompleteServiceError.MODEL_NOT_INITIALIZED)
            }
        }

        val options = Interpreter.Options()
        val myDelegate = GpuDelegate()
        options.addDelegate(myDelegate)

        try {

            val model = loadResult.getOrNull()
            isInitialized = model?.let {
                interpreter = Interpreter(it, options)
                true
            } ?: false

            return@withContext if (isInitialized) {
                InitModelResult.Success
            } else {
                InitModelResult.Error(AutoCompleteServiceError.MODEL_NOT_INITIALIZED)
            }
        } catch (e: Exception) {
 
            e.printStackTrace()
            return@withContext InitModelResult.Error(AutoCompleteServiceError.MODEL_INITIALIZATION_FAILED)
        }
    }
}
// Try this code snippet 

Thank you for your reply. I have tried this code above. It does catch the exception. However, the log convert from 'Error' to 'Warning":

com.google.tensorflowdemo.debug      W  java.lang.IllegalArgumentException: Internal error: Error applying delegate: 
2024-04-14 18:08:11.198 29026-29253 System.err              com.google.tensorflowdemo.debug      W  	at org.tensorflow.lite.NativeInterpreterWrapper.createInterpreter(Native Method)
2024-04-14 18:08:11.198 29026-29253 System.err              com.google.tensorflowdemo.debug      W  	at org.tensorflow.lite.NativeInterpreterWrapper.init(NativeInterpreterWrapper.java:110)
2024-04-14 18:08:11.198 29026-29253 System.err              com.google.tensorflowdemo.debug      W  	at org.tensorflow.lite.NativeInterpreterWrapper.<init>(NativeInterpreterWrapper.java:73)
2024-04-14 18:08:11.198 29026-29253 System.err              com.google.tensorflowdemo.debug      W  	at org.tensorflow.lite.NativeInterpreterWrapperExperimental.<init>(NativeInterpreterWrapperExperimental.java:36)
2024-04-14 18:08:11.198 29026-29253 System.err              com.google.tensorflowdemo.debug      W  	at org.tensorflow.lite.Interpreter.<init>(Interpreter.java:214)
2024-04-14 18:08:11.198 29026-29253 System.err              com.google.tensorflowdemo.debug      W  	at com.google.tensorflowdemo.data.autocomplete.AutoCompleteServiceImpl$initModel$2.invokeSuspend(AutoCompleteService.kt:156)
2024-04-14 18:08:11.198 29026-29253 System.err              com.google.tensorflowdemo.debug      W  	at kotlin.coroutines.jvm.internal.BaseContinuationImpl.resumeWith(ContinuationImpl.kt:33)
2024-04-14 18:08:11.198 29026-29253 System.err              com.google.tensorflowdemo.debug      W  	at kotlinx.coroutines.DispatchedTask.run(DispatchedTask.kt:106)
2024-04-14 18:08:11.198 29026-29253 System.err              com.google.tensorflowdemo.debug      W  	at kotlinx.coroutines.internal.LimitedDispatcher.run(LimitedDispatcher.kt:42)
2024-04-14 18:08:11.198 29026-29253 System.err              com.google.tensorflowdemo.debug      W  	at kotlinx.coroutines.scheduling.TaskImpl.run(Tasks.kt:95)
2024-04-14 18:08:11.198 29026-29253 System.err              com.google.tensorflowdemo.debug      W  	at kotlinx.coroutines.scheduling.CoroutineScheduler.runSafely(CoroutineScheduler.kt:570)
2024-04-14 18:08:11.198 29026-29253 System.err              com.google.tensorflowdemo.debug      W  	at kotlinx.coroutines.scheduling.CoroutineScheduler$Worker.executeTask(CoroutineScheduler.kt:750)
2024-04-14 18:08:11.198 29026-29253 System.err              com.google.tensorflowdemo.debug      W  	at kotlinx.coroutines.scheduling.CoroutineScheduler$Worker.runWorker(CoroutineScheduler.kt:677)
2024-04-14 18:08:11.198 29026-29253 System.err              com.google.tensorflowdemo.debug      W  	at kotlinx.coroutines.scheduling.CoroutineScheduler$Worker.run(CoroutineScheduler.kt:664)

The problem seems to still exist.