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.

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.