Hello, My App works well on iOS17 and previous iOS18 Beta version, while it crashes on latest iOS18 Beta5, when it calling model predictionFromFeatures. Calling stack of crash is as: *** Terminating app due to uncaught exception 'NSInvalidArgumentException', reason: 'Unrecognized ANE execution priority MLANEExecutionPriority_Unspecified' Last Exception Backtrace: 0 CoreFoundation 0x000000019bd6408c __exceptionPreprocess + 164 1 libobjc.A.dylib 0x000000019906b2e4 objc_exception_throw + 88 2 CoreFoundation 0x000000019be5f648 -[NSException initWithCoder:] 3 CoreML 0x00000001b7507340 -[MLE5ExecutionStream _setANEExecutionPriorityWithOptions:] + 248 4 CoreML 0x00000001b7508374 -[MLE5ExecutionStream _prepareForInputFeatures:options:error:] + 248 5 CoreML 0x00000001b7507ddc -[MLE5ExecutionStream executeForInputFeatures:options:error:] + 68 6 CoreML 0x00000001b74ce5c4 -[MLE5Engine _predictionFromFeatures:stream:options:error:] + 80 7 CoreML 0x00000001b74ce7fc -[MLE5Engine _predictionFromFeatures:options:error:] + 208 8 CoreML 0x00000001b74cf110 -[MLE5Engine _predictionFromFeatures:usingState:options:error:] + 400 9 CoreML 0x00000001b74cf270 -[MLE5Engine predictionFromFeatures:options:error:] + 96 10 CoreML 0x00000001b74ab264 -[MLDelegateModel _predictionFromFeatures:usingState:options:error:] + 684 11 CoreML 0x00000001b70991bc -[MLDelegateModel predictionFromFeatures:options:error:] + 124 And my model file type is ml package file. Source code is as below: //model MLModel *_model; ...... // model init MLModelConfiguration* config = [[MLModelConfiguration alloc]init]; config.computeUnits = MLComputeUnitsCPUAndNeuralEngine; _model = [MLModel modelWithContentsOfURL:compileUrl configuration:config error:&error]; ..... // model prediction MLPredictionOptions *option = [[MLPredictionOptions alloc]init]; id<MLFeatureProvider> outFeatures = [_model predictionFromFeatures:_modelInput options:option error:&error]; Is there anything wrong? Any advice would be appreciated.

We use MLModel in our app, which uses two file formats: mlmodel and mlpackage. We find that when the model is released, models using mlmodel format have a certain probability of crashing. And these crashes account for the majority (over 85%) in the iOS 16.x system. Here is the crash stack: Exception Type: SIGTRAP Exception Codes: TRAP_BRKPT at 0x1b48e855c Crashed Thread: 5 Thread 5 Crashed: 0 libdispatch.dylib 0x00000001b48e855c _dispatch_semaphore_dispose.cold.1 + 40 1 libdispatch.dylib 0x00000001b48b2b28 _dispatch_semaphore_signal_slow 2 libdispatch.dylib 0x00000001b48b0e58 _dispatch_dispose + 208 3 AppleNeuralEngine 0x00000001ef07b51c -[_ANEProgramForEvaluation .cxx_destruct] + 32 4 libobjc.A.dylib 0x00000001a67ed4a4 object_cxxDestructFromClass(objc_object*, objc_class*) + 116 5 libobjc.A.dylib 0x00000001a67f221c objc_destructInstance + 80 6 libobjc.A.dylib 0x00000001a67fb9d0 _objc_rootDealloc + 80 7 AppleNeuralEngine 0x00000001ef079e04 -[_ANEProgramForEvaluation dealloc] + 72 8 AppleNeuralEngine 0x00000001ef07ca70 -[_ANEModel .cxx_destruct] + 44 9 libobjc.A.dylib 0x00000001a67ed4a4 object_cxxDestructFromClass(objc_object*, objc_class*) + 116 10 libobjc.A.dylib 0x00000001a67f221c objc_destructInstance + 80 11 libobjc.A.dylib 0x00000001a67fb9d0 _objc_rootDealloc + 80 12 AppleNeuralEngine 0x00000001ef07bd7c -[_ANEModel dealloc] + 136 13 CoreFoundation 0x00000001ad4563cc cow_cleanup + 168 14 CoreFoundation 0x00000001ad49044c -[__NSDictionaryM dealloc] + 148 15 Espresso 0x00000001bb19c7a4 Espresso::ANERuntimeEngine::compiler::reset() + 1340 16 Espresso 0x00000001bb19cac8 Espresso::ANERuntimeEngine::compiler::~compiler() + 108 17 Espresso 0x00000001bacd69e4 std::__1::__shared_weak_count::__release_shared() + 84 18 Espresso 0x00000001ba944d00 std::__1::__hash_table<std::__1::__hash_value_type<Espresso::platform, std::__1::shared_ptr<Espresso::net_compiler>>, std::__1::__unordered_map_hasher<Espresso::platform, std::__1::__hash_value_type<Espresso::platform, std::__1::shared_ptr<Espresso::net_compiler>>, std::__1::hash<Espresso::platform>, std::__1::equal_to<Espresso::platform>, true>, std::__1::__unordered_map_equal<Espresso::platform, std::__1::__hash_value_type<Espresso::platform, std::__1::shared_ptr<Espresso::net_compiler>>, std::__1::equal_to<Espresso::platform>, std::__1::hash<Espresso::platform>, true>, std::__1::allocator<std::__1::__hash_value_type<Espresso::platform, std::__1::shared_ptr<Espresso::net_compiler>>>>::__deallocate_node(std::__1::__hash_node_base<std::__1::__hash_node<std::__1::__hash_value_type<Espresso::platform, std::__1::shared_ptr<Espresso::net_compiler>>, void*>*>*) + 40 19 Espresso 0x00000001ba8ea640 std::__1::__hash_table<std::__1::__hash_value_type<Espresso::platform, std::__1::shared_ptr<Espresso::net_compiler>>, std::__1::__unordered_map_hasher<Espresso::platform, std::__1::__hash_value_type<Espresso::platform, std::__1::shared_ptr<Espresso::net_compiler>>, std::__1::hash<Espresso::platform>, std::__1::equal_to<Espresso::platform>, true>, std::__1::__unordered_map_equal<Espresso::platform, std::__1::__hash_value_type<Espresso::platform, std::__1::shared_ptr<Espresso::net_compiler>>, std::__1::equal_to<Espresso::platform>, std::__1::hash<Espresso::platform>, true>, std::__1::allocator<std::__1::__hash_value_type<Espresso::platform, std::__1::shared_ptr<Espresso::net_compiler>>>>::~__hash_table() + 28 20 Espresso 0x00000001ba8e5750 Espresso::net::~net() + 396 21 Espresso 0x00000001bacd69e4 std::__1::__shared_weak_count::__release_shared() + 84 22 Espresso 0x00000001bad750e4 std::__1::__vector_base<std::__1::shared_ptr<Espresso::net>, std::__1::allocator<std::__1::shared_ptr<Espresso::net>>>::clear() + 52 23 Espresso 0x00000001ba902448 std::__1::__vector_base<std::__1::shared_ptr<Espresso::net>, std::__1::allocator<std::__1::shared_ptr<Espresso::net>>>::~__vector_base() + 36 24 Espresso 0x00000001ba8ed99c std::__1::unique_ptr<EspressoLight::espresso_plan::priv_t, std::__1::default_delete<EspressoLight::espresso_plan::priv_t>>::reset(EspressoLight::espresso_plan::priv_t*) + 188 25 Espresso 0x00000001ba95b7fc EspressoLight::espresso_plan::~espresso_plan() + 72 26 Espresso 0x00000001ba902078 EspressoLight::espresso_plan::~espresso_plan() + 16 27 Espresso 0x00000001ba8e690c espresso_plan_destroy + 372 28 CoreML 0x00000001c48c45cc -[MLNeuralNetworkEngine _deallocContextAndPlan] + 40 29 CoreML 0x00000001c48c43bc -[MLNeuralNetworkEngine dealloc] + 40 30 libobjc.A.dylib 0x00000001a67ed4a4 object_cxxDestructFromClass(objc_object*, objc_class*) + 116 31 libobjc.A.dylib 0x00000001a67f221c objc_destructInstance + 80 32 libobjc.A.dylib 0x00000001a67fb9d0 _objc_rootDealloc + 80 ~~~~ Our code that release the MLModel object ~~~~ Moreover, we use a synchronization mechanism to ensure that the release of the MLModel and the data processing of the model (by calling [model predictionFromFeatures]) do not occur simultaneously. What could be the possible causes of the problem, and how can we prevent it from happening? Any advice would be appreciated.