; LLVM IR from FidoProject/Fido :: src/NeuralNet.ll (ZN3net9NeuralNet16randomizeWeightsEv)

; 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.net::NeuralNet" = type { %"class.std::vector" }
%"class.std::vector" = type { %"struct.std::_Vector_base" }
%"struct.std::_Vector_base" = type { %"struct.std::_Vector_base<net::Layer, std::allocator<net::Layer>>::_Vector_impl" }
%"struct.std::_Vector_base<net::Layer, std::allocator<net::Layer>>::_Vector_impl" = type { %"struct.std::_Vector_base<net::Layer, std::allocator<net::Layer>>::_Vector_impl_data" }
%"struct.std::_Vector_base<net::Layer, std::allocator<net::Layer>>::_Vector_impl_data" = type { ptr, ptr, ptr }
%"class.net::Layer" = type { ptr, %"class.std::vector.3" }
%"class.std::vector.3" = type { %"struct.std::_Vector_base.4" }
%"struct.std::_Vector_base.4" = type { %"struct.std::_Vector_base<net::Neuron, std::allocator<net::Neuron>>::_Vector_impl" }
%"struct.std::_Vector_base<net::Neuron, std::allocator<net::Neuron>>::_Vector_impl" = type { %"struct.std::_Vector_base<net::Neuron, std::allocator<net::Neuron>>::_Vector_impl_data" }
%"struct.std::_Vector_base<net::Neuron, std::allocator<net::Neuron>>::_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 @_ZNKSt6vectorIN3net5LayerESaIS1_EE4sizeEv(ptr noundef nonnull align 8 dereferenceable(24)) #1 align 2

; Function Attrs: mustprogress nounwind uwtable
declare dso_local noundef nonnull align 8 dereferenceable(32) ptr @_ZNSt6vectorIN3net5LayerESaIS1_EEixEm(ptr noundef nonnull align 8 dereferenceable(24), i64 noundef) #1 align 2

; Function Attrs: mustprogress uwtable
define dso_local void @_ZN3net9NeuralNet16randomizeWeightsEv(ptr noundef nonnull align 8 dereferenceable(24) %0) #2 align 2 {
  %2 = alloca ptr, align 8
  %3 = alloca i32, align 4
  %4 = alloca i32, align 4
  %5 = alloca i32, align 4
  store ptr %0, ptr %2, align 8, !tbaa !5
  %6 = load ptr, ptr %2, align 8
  call void @llvm.lifetime.start.p0(i64 4, ptr %3) #4
  store i32 0, ptr %3, align 4, !tbaa !9
  br label %7

7:                                                ; preds = %39, %1
  %8 = load i32, ptr %3, align 4, !tbaa !9
  %9 = zext i32 %8 to i64
  %10 = getelementptr inbounds %"class.net::NeuralNet", ptr %6, i32 0, i32 0
  %11 = call noundef i64 @_ZNKSt6vectorIN3net5LayerESaIS1_EE4sizeEv(ptr noundef nonnull align 8 dereferenceable(24) %10) #4
  %12 = icmp ult i64 %9, %11
  br i1 %12, label %14, label %13

13:                                               ; preds = %7
  store i32 2, ptr %4, align 4
  call void @llvm.lifetime.end.p0(i64 4, ptr %3) #4
  br label %42

14:                                               ; preds = %7
  call void @llvm.lifetime.start.p0(i64 4, ptr %5) #4
  store i32 0, ptr %5, align 4, !tbaa !9
  br label %15

15:                                               ; preds = %35, %14
  %16 = load i32, ptr %5, align 4, !tbaa !9
  %17 = zext i32 %16 to i64
  %18 = getelementptr inbounds %"class.net::NeuralNet", ptr %6, i32 0, i32 0
  %19 = load i32, ptr %3, align 4, !tbaa !9
  %20 = zext i32 %19 to i64
  %21 = call noundef nonnull align 8 dereferenceable(32) ptr @_ZNSt6vectorIN3net5LayerESaIS1_EEixEm(ptr noundef nonnull align 8 dereferenceable(24) %18, i64 noundef %20) #4
  %22 = getelementptr inbounds %"class.net::Layer", ptr %21, i32 0, i32 1
  %23 = call noundef i64 @_ZNKSt6vectorIN3net6NeuronESaIS1_EE4sizeEv(ptr noundef nonnull align 8 dereferenceable(24) %22) #4
  %24 = icmp ult i64 %17, %23
  br i1 %24, label %26, label %25

25:                                               ; preds = %15
  store i32 5, ptr %4, align 4
  call void @llvm.lifetime.end.p0(i64 4, ptr %5) #4
  br label %38

26:                                               ; preds = %15
  %27 = getelementptr inbounds %"class.net::NeuralNet", ptr %6, i32 0, i32 0
  %28 = load i32, ptr %3, align 4, !tbaa !9
  %29 = zext i32 %28 to i64
  %30 = call noundef nonnull align 8 dereferenceable(32) ptr @_ZNSt6vectorIN3net5LayerESaIS1_EEixEm(ptr noundef nonnull align 8 dereferenceable(24) %27, i64 noundef %29) #4
  %31 = getelementptr inbounds %"class.net::Layer", ptr %30, i32 0, i32 1
  %32 = load i32, ptr %5, align 4, !tbaa !9
  %33 = zext i32 %32 to i64
  %34 = call noundef nonnull align 8 dereferenceable(24) ptr @_ZNSt6vectorIN3net6NeuronESaIS1_EEixEm(ptr noundef nonnull align 8 dereferenceable(24) %31, i64 noundef %33) #4
  call void @_ZN3net6Neuron16randomizeWeightsEv(ptr noundef nonnull align 8 dereferenceable(24) %34)
  br label %35

35:                                               ; preds = %26
  %36 = load i32, ptr %5, align 4, !tbaa !9
  %37 = add i32 %36, 1
  store i32 %37, ptr %5, align 4, !tbaa !9
  br label %15, !llvm.loop !11

38:                                               ; preds = %25
  br label %39

39:                                               ; preds = %38
  %40 = load i32, ptr %3, align 4, !tbaa !9
  %41 = add i32 %40, 1
  store i32 %41, ptr %3, align 4, !tbaa !9
  br label %7, !llvm.loop !13

42:                                               ; preds = %13
  ret void
}

; Function Attrs: mustprogress nounwind uwtable
declare dso_local noundef i64 @_ZNKSt6vectorIN3net6NeuronESaIS1_EE4sizeEv(ptr noundef nonnull align 8 dereferenceable(24)) #1 align 2

; Function Attrs: mustprogress nounwind uwtable
declare dso_local noundef nonnull align 8 dereferenceable(24) ptr @_ZNSt6vectorIN3net6NeuronESaIS1_EEixEm(ptr noundef nonnull align 8 dereferenceable(24), i64 noundef) #1 align 2

declare void @_ZN3net6Neuron16randomizeWeightsEv(ptr noundef nonnull align 8 dereferenceable(24)) #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"}
!13 = distinct !{!13, !12}


; 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 @_ZNKSt6vectorIN3net5LayerESaIS1_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(32) ptr @_ZNSt6vectorIN3net5LayerESaIS1_EEixEm(ptr noundef nonnull align 8 dereferenceable(24), i64 noundef) local_unnamed_addr #0 align 2

; Function Attrs: mustprogress uwtable
define dso_local void @_ZN3net9NeuralNet16randomizeWeightsEv(ptr noundef nonnull align 8 dereferenceable(24) %0) local_unnamed_addr #1 align 2 {
  %2 = tail call noundef i64 @_ZNKSt6vectorIN3net5LayerESaIS1_EE4sizeEv(ptr noundef nonnull align 8 dereferenceable(24) %0) #3
  %.not = icmp eq i64 %2, 0
  br i1 %.not, label %._crit_edge12, label %.preheader

.preheader:                                       ; preds = %1, %._crit_edge
  %3 = phi i64 [ %8, %._crit_edge ], [ 0, %1 ]
  %.0711 = phi i32 [ %7, %._crit_edge ], [ 0, %1 ]
  %4 = tail call noundef nonnull align 8 dereferenceable(32) ptr @_ZNSt6vectorIN3net5LayerESaIS1_EEixEm(ptr noundef nonnull align 8 dereferenceable(24) %0, i64 noundef %3) #3
  %5 = getelementptr inbounds i8, ptr %4, i64 8
  %6 = tail call noundef i64 @_ZNKSt6vectorIN3net6NeuronESaIS1_EE4sizeEv(ptr noundef nonnull align 8 dereferenceable(24) %5) #3
  %.not13 = icmp eq i64 %6, 0
  br i1 %.not13, label %._crit_edge, label %.lr.ph

._crit_edge12:                                    ; preds = %._crit_edge, %1
  ret void

._crit_edge:                                      ; preds = %.lr.ph, %.preheader
  %7 = add i32 %.0711, 1
  %8 = zext i32 %7 to i64
  %9 = tail call noundef i64 @_ZNKSt6vectorIN3net5LayerESaIS1_EE4sizeEv(ptr noundef nonnull align 8 dereferenceable(24) %0) #3
  %10 = icmp ugt i64 %9, %8
  br i1 %10, label %.preheader, label %._crit_edge12, !llvm.loop !5

.lr.ph:                                           ; preds = %.preheader, %.lr.ph
  %11 = phi i64 [ %16, %.lr.ph ], [ 0, %.preheader ]
  %.010 = phi i32 [ %15, %.lr.ph ], [ 0, %.preheader ]
  %12 = tail call noundef nonnull align 8 dereferenceable(32) ptr @_ZNSt6vectorIN3net5LayerESaIS1_EEixEm(ptr noundef nonnull align 8 dereferenceable(24) %0, i64 noundef %3) #3
  %13 = getelementptr inbounds i8, ptr %12, i64 8
  %14 = tail call noundef nonnull align 8 dereferenceable(24) ptr @_ZNSt6vectorIN3net6NeuronESaIS1_EEixEm(ptr noundef nonnull align 8 dereferenceable(24) %13, i64 noundef %11) #3
  tail call void @_ZN3net6Neuron16randomizeWeightsEv(ptr noundef nonnull align 8 dereferenceable(24) %14)
  %15 = add i32 %.010, 1
  %16 = zext i32 %15 to i64
  %17 = tail call noundef nonnull align 8 dereferenceable(32) ptr @_ZNSt6vectorIN3net5LayerESaIS1_EEixEm(ptr noundef nonnull align 8 dereferenceable(24) %0, i64 noundef %3) #3
  %18 = getelementptr inbounds i8, ptr %17, i64 8
  %19 = tail call noundef i64 @_ZNKSt6vectorIN3net6NeuronESaIS1_EE4sizeEv(ptr noundef nonnull align 8 dereferenceable(24) %18) #3
  %20 = icmp ugt i64 %19, %16
  br i1 %20, label %.lr.ph, label %._crit_edge, !llvm.loop !7
}

; Function Attrs: mustprogress nounwind uwtable
declare dso_local noundef i64 @_ZNKSt6vectorIN3net6NeuronESaIS1_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(24) ptr @_ZNSt6vectorIN3net6NeuronESaIS1_EEixEm(ptr noundef nonnull align 8 dereferenceable(24), i64 noundef) local_unnamed_addr #0 align 2

declare void @_ZN3net6Neuron16randomizeWeightsEv(ptr noundef nonnull align 8 dereferenceable(24)) local_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"}
!7 = distinct !{!7, !6}


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