; LLVM IR from SoloGameDevGitHub/AIEngine :: NeuralNetwork/MLP/MLP.ll (ZN13NeuralNetwork20MultiLayerPerceptron11deserializeERSi)

; Unoptimized IR (clang -disable-llvm-passes):
target datalayout = "e-m:e-p270:32:32-p271:32:32-p272:64:64-i64:64-i128:128-f80:128-n8:16:32:64-S128"
target triple = "x86_64-unknown-linux-gnu"

%"class.NeuralNetwork::MultiLayerPerceptron" = type { %"class.serialization::ISerializable", %"class.std::vector", %"class.std::vector.0", ptr }
%"class.serialization::ISerializable" = type { ptr }
%"class.std::vector" = type { %"struct.std::_Vector_base" }
%"struct.std::_Vector_base" = type { %"struct.std::_Vector_base<std::unique_ptr<NeuralNetwork::Layer>, std::allocator<std::unique_ptr<NeuralNetwork::Layer>>>::_Vector_impl" }
%"struct.std::_Vector_base<std::unique_ptr<NeuralNetwork::Layer>, std::allocator<std::unique_ptr<NeuralNetwork::Layer>>>::_Vector_impl" = type { %"struct.std::_Vector_base<std::unique_ptr<NeuralNetwork::Layer>, std::allocator<std::unique_ptr<NeuralNetwork::Layer>>>::_Vector_impl_data" }
%"struct.std::_Vector_base<std::unique_ptr<NeuralNetwork::Layer>, std::allocator<std::unique_ptr<NeuralNetwork::Layer>>>::_Vector_impl_data" = type { ptr, ptr, ptr }
%"class.std::vector.0" = type { %"struct.std::_Vector_base.1" }
%"struct.std::_Vector_base.1" = type { %"struct.std::_Vector_base<std::vector<double>, std::allocator<std::vector<double>>>::_Vector_impl" }
%"struct.std::_Vector_base<std::vector<double>, std::allocator<std::vector<double>>>::_Vector_impl" = type { %"struct.std::_Vector_base<std::vector<double>, std::allocator<std::vector<double>>>::_Vector_impl_data" }
%"struct.std::_Vector_base<std::vector<double>, std::allocator<std::vector<double>>>::_Vector_impl_data" = type { ptr, ptr, ptr }

; Function Attrs: nocallback nofree nosync nounwind willreturn memory(argmem: readwrite)
declare void @llvm.lifetime.start.p0(i64 immarg, ptr nocapture) #0

; Function Attrs: nocallback nofree nosync nounwind willreturn memory(argmem: readwrite)
declare void @llvm.lifetime.end.p0(i64 immarg, ptr nocapture) #0

; Function Attrs: mustprogress nounwind uwtable
declare dso_local noundef i64 @_ZNKSt6vectorISt10unique_ptrIN13NeuralNetwork5LayerESt14default_deleteIS2_EESaIS5_EE4sizeEv(ptr noundef nonnull align 8 dereferenceable(24)) #1 align 2

; Function Attrs: mustprogress nounwind uwtable
declare dso_local noundef nonnull align 8 dereferenceable(8) ptr @_ZNSt6vectorISt10unique_ptrIN13NeuralNetwork5LayerESt14default_deleteIS2_EESaIS5_EEixEm(ptr noundef nonnull align 8 dereferenceable(24), i64 noundef) #1 align 2

; Function Attrs: mustprogress nounwind uwtable
declare dso_local noundef ptr @_ZNKSt10unique_ptrIN13NeuralNetwork5LayerESt14default_deleteIS1_EEptEv(ptr noundef nonnull align 8 dereferenceable(8)) #1 align 2

; Function Attrs: mustprogress uwtable
define dso_local void @_ZN13NeuralNetwork20MultiLayerPerceptron11deserializeERSi(ptr noundef nonnull align 8 dereferenceable(64) %0, ptr noundef nonnull align 8 dereferenceable(16) %1) unnamed_addr #2 align 2 {
  %3 = alloca ptr, align 8
  %4 = alloca ptr, align 8
  %5 = alloca i32, align 4
  %6 = alloca ptr, align 8
  store ptr %0, ptr %3, align 8, !tbaa !5
  store ptr %1, ptr %4, align 8, !tbaa !5
  %7 = load ptr, ptr %3, align 8
  call void @llvm.lifetime.start.p0(i64 4, ptr %5) #4
  store i32 0, ptr %5, align 4, !tbaa !9
  br label %8

8:                                                ; preds = %23, %2
  %9 = load i32, ptr %5, align 4, !tbaa !9
  %10 = sext i32 %9 to i64
  %11 = getelementptr inbounds %"class.NeuralNetwork::MultiLayerPerceptron", ptr %7, i32 0, i32 1
  %12 = call noundef i64 @_ZNKSt6vectorISt10unique_ptrIN13NeuralNetwork5LayerESt14default_deleteIS2_EESaIS5_EE4sizeEv(ptr noundef nonnull align 8 dereferenceable(24) %11) #4
  %13 = icmp ult i64 %10, %12
  br i1 %13, label %15, label %14

14:                                               ; preds = %8
  call void @llvm.lifetime.end.p0(i64 4, ptr %5) #4
  br label %26

15:                                               ; preds = %8
  call void @llvm.lifetime.start.p0(i64 8, ptr %6) #4
  %16 = getelementptr inbounds %"class.NeuralNetwork::MultiLayerPerceptron", ptr %7, i32 0, i32 1
  %17 = load i32, ptr %5, align 4, !tbaa !9
  %18 = sext i32 %17 to i64
  %19 = call noundef nonnull align 8 dereferenceable(8) ptr @_ZNSt6vectorISt10unique_ptrIN13NeuralNetwork5LayerESt14default_deleteIS2_EESaIS5_EEixEm(ptr noundef nonnull align 8 dereferenceable(24) %16, i64 noundef %18) #4
  store ptr %19, ptr %6, align 8, !tbaa !5
  %20 = load ptr, ptr %6, align 8, !tbaa !5
  %21 = call noundef ptr @_ZNKSt10unique_ptrIN13NeuralNetwork5LayerESt14default_deleteIS1_EEptEv(ptr noundef nonnull align 8 dereferenceable(8) %20) #4
  %22 = load ptr, ptr %4, align 8, !tbaa !5
  call void @_ZN13NeuralNetwork5Layer11deserializeERSi(ptr noundef nonnull align 8 dereferenceable(32) %21, ptr noundef nonnull align 8 dereferenceable(16) %22)
  call void @llvm.lifetime.end.p0(i64 8, ptr %6) #4
  br label %23

23:                                               ; preds = %15
  %24 = load i32, ptr %5, align 4, !tbaa !9
  %25 = add nsw i32 %24, 1
  store i32 %25, ptr %5, align 4, !tbaa !9
  br label %8, !llvm.loop !11

26:                                               ; preds = %14
  ret void
}

declare void @_ZN13NeuralNetwork5Layer11deserializeERSi(ptr noundef nonnull align 8 dereferenceable(32), ptr noundef nonnull align 8 dereferenceable(16)) unnamed_addr #3

attributes #0 = { nocallback nofree nosync nounwind willreturn memory(argmem: readwrite) }
attributes #1 = { mustprogress nounwind uwtable "min-legal-vector-width"="0" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cmov,+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "tune-cpu"="generic" }
attributes #2 = { mustprogress uwtable "min-legal-vector-width"="0" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cmov,+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "tune-cpu"="generic" }
attributes #3 = { "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cmov,+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "tune-cpu"="generic" }
attributes #4 = { nounwind }

!llvm.module.flags = !{!0, !1, !2, !3}
!llvm.ident = !{!4}

!0 = !{i32 1, !"wchar_size", i32 4}
!1 = !{i32 8, !"PIC Level", i32 2}
!2 = !{i32 7, !"PIE Level", i32 2}
!3 = !{i32 7, !"uwtable", i32 2}
!4 = !{!"clang version 19.1.0 (git@github.com:llvm/llvm-project.git a4bf6cd7cfb1a1421ba92bca9d017b49936c55e4)"}
!5 = !{!6, !6, i64 0}
!6 = !{!"any pointer", !7, i64 0}
!7 = !{!"omnipotent char", !8, i64 0}
!8 = !{!"Simple C++ TBAA"}
!9 = !{!10, !10, i64 0}
!10 = !{!"int", !7, i64 0}
!11 = distinct !{!11, !12}
!12 = !{!"llvm.loop.mustprogress"}


; Optimized IR (opt -passes='default<O3>'):
target datalayout = "e-m:e-p270:32:32-p271:32:32-p272:64:64-i64:64-i128:128-f80:128-n8:16:32:64-S128"
target triple = "x86_64-unknown-linux-gnu"

; Function Attrs: mustprogress nounwind uwtable
declare dso_local noundef i64 @_ZNKSt6vectorISt10unique_ptrIN13NeuralNetwork5LayerESt14default_deleteIS2_EESaIS5_EE4sizeEv(ptr noundef nonnull align 8 dereferenceable(24)) local_unnamed_addr #0 align 2

; Function Attrs: mustprogress nounwind uwtable
declare dso_local noundef nonnull align 8 dereferenceable(8) ptr @_ZNSt6vectorISt10unique_ptrIN13NeuralNetwork5LayerESt14default_deleteIS2_EESaIS5_EEixEm(ptr noundef nonnull align 8 dereferenceable(24), i64 noundef) local_unnamed_addr #0 align 2

; Function Attrs: mustprogress nounwind uwtable
declare dso_local noundef ptr @_ZNKSt10unique_ptrIN13NeuralNetwork5LayerESt14default_deleteIS1_EEptEv(ptr noundef nonnull align 8 dereferenceable(8)) local_unnamed_addr #0 align 2

; Function Attrs: mustprogress uwtable
define dso_local void @_ZN13NeuralNetwork20MultiLayerPerceptron11deserializeERSi(ptr noundef nonnull align 8 dereferenceable(64) %0, ptr noundef nonnull align 8 dereferenceable(16) %1) unnamed_addr #1 align 2 {
  %3 = getelementptr inbounds i8, ptr %0, i64 8
  %4 = tail call noundef i64 @_ZNKSt6vectorISt10unique_ptrIN13NeuralNetwork5LayerESt14default_deleteIS2_EESaIS5_EE4sizeEv(ptr noundef nonnull align 8 dereferenceable(24) %3) #3
  %.not = icmp eq i64 %4, 0
  br i1 %.not, label %._crit_edge, label %.lr.ph

._crit_edge:                                      ; preds = %.lr.ph, %2
  ret void

.lr.ph:                                           ; preds = %2, %.lr.ph
  %indvars.iv = phi i64 [ %indvars.iv.next, %.lr.ph ], [ 0, %2 ]
  %5 = tail call noundef nonnull align 8 dereferenceable(8) ptr @_ZNSt6vectorISt10unique_ptrIN13NeuralNetwork5LayerESt14default_deleteIS2_EESaIS5_EEixEm(ptr noundef nonnull align 8 dereferenceable(24) %3, i64 noundef %indvars.iv) #3
  %6 = tail call noundef ptr @_ZNKSt10unique_ptrIN13NeuralNetwork5LayerESt14default_deleteIS1_EEptEv(ptr noundef nonnull align 8 dereferenceable(8) %5) #3
  tail call void @_ZN13NeuralNetwork5Layer11deserializeERSi(ptr noundef nonnull align 8 dereferenceable(32) %6, ptr noundef nonnull align 8 dereferenceable(16) %1)
  %indvars.iv.next = add nuw nsw i64 %indvars.iv, 1
  %7 = tail call noundef i64 @_ZNKSt6vectorISt10unique_ptrIN13NeuralNetwork5LayerESt14default_deleteIS2_EESaIS5_EE4sizeEv(ptr noundef nonnull align 8 dereferenceable(24) %3) #3
  %8 = icmp ugt i64 %7, %indvars.iv.next
  br i1 %8, label %.lr.ph, label %._crit_edge, !llvm.loop !5
}

declare void @_ZN13NeuralNetwork5Layer11deserializeERSi(ptr noundef nonnull align 8 dereferenceable(32), ptr noundef nonnull align 8 dereferenceable(16)) unnamed_addr #2

attributes #0 = { mustprogress nounwind uwtable "min-legal-vector-width"="0" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cmov,+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "tune-cpu"="generic" }
attributes #1 = { mustprogress uwtable "min-legal-vector-width"="0" "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cmov,+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "tune-cpu"="generic" }
attributes #2 = { "no-trapping-math"="true" "stack-protector-buffer-size"="8" "target-cpu"="x86-64" "target-features"="+cmov,+cx8,+fxsr,+mmx,+sse,+sse2,+x87" "tune-cpu"="generic" }
attributes #3 = { nounwind }

!llvm.module.flags = !{!0, !1, !2, !3}
!llvm.ident = !{!4}

!0 = !{i32 1, !"wchar_size", i32 4}
!1 = !{i32 8, !"PIC Level", i32 2}
!2 = !{i32 7, !"PIE Level", i32 2}
!3 = !{i32 7, !"uwtable", i32 2}
!4 = !{!"clang version 19.1.0 (git@github.com:llvm/llvm-project.git a4bf6cd7cfb1a1421ba92bca9d017b49936c55e4)"}
!5 = distinct !{!5, !6}
!6 = !{!"llvm.loop.mustprogress"}


; Effective O3 passes: EarlyCSEPass,GlobalOptPass,IndVarSimplifyPass,InferFunctionAttrsPass,InstCombinePass,JumpThreadingPass,LICMPass,LoopRotatePass,LoopSimplifyPass,LoopUnrollPass,SROAPass,SimplifyCFGPass,TailCallElimPass