; LLVM IR from rl-tools/rl-tools :: src/rl/environments/pendulum/td3/cpu (standalone)

; 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"

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%"class.std::basic_ios" = type { %"class.std::ios_base", ptr, i8, i8, ptr, ptr, ptr, ptr }
%"class.std::ios_base" = type { ptr, i64, i64, i32, i32, i32, ptr, %"struct.std::ios_base::_Words", [8 x %"struct.std::ios_base::_Words"], i32, ptr, %"class.std::locale" }
%"struct.std::ios_base::_Words" = type { ptr, i64 }
%"class.std::locale" = type { ptr }
%"struct.rl_tools::devices::CPU" = type <{ [8 x i8], %"class.std::__cxx11::basic_string", %"class.std::__cxx11::basic_string", %"class.std::__cxx11::basic_string", i8, [7 x i8] }>
%"class.std::__cxx11::basic_string" = type { %"struct.std::__cxx11::basic_string<char>::_Alloc_hider", i64, %union.anon }
%"struct.std::__cxx11::basic_string<char>::_Alloc_hider" = type { ptr }
%union.anon = type { i64, [8 x i8] }
%"struct.rl_tools::rl::loop::steps::timing::State" = type { %"struct.rl_tools::rl::loop::steps::evaluation::State.base", %"class.std::chrono::time_point", %"class.std::chrono::time_point", i64 }
%"struct.rl_tools::rl::loop::steps::evaluation::State.base" = type <{ %"struct.rl_tools::rl::algorithms::td3::loop::core::State", %"struct.rl_tools::Matrix.121", %"class.std::mersenne_twister_engine", [8 x i8], %"struct.rl_tools::nn_models::sequential::ModuleBuffer.123", [3 x i8] }>
%"struct.rl_tools::rl::algorithms::td3::loop::core::State" = type { %"struct.rl_tools::nn::optimizers::Adam", [2 x %"struct.rl_tools::nn::optimizers::Adam"], %"class.std::mersenne_twister_engine", %"struct.rl_tools::rl::components::OffPolicyRunner", [1 x %"struct.rl_tools::rl::environments::Pendulum"], [1 x %"struct.rl_tools::rl::environments::pendulum::DefaultParameters"], %"struct.rl_tools::rl::algorithms::td3::ActorCritic", %"struct.rl_tools::rl::components::off_policy_runner::SequentialBatch", %"struct.rl_tools::rl::algorithms::td3::CriticTrainingBuffers", [2 x %"struct.rl_tools::nn_models::sequential::ModuleBuffer"], %"struct.rl_tools::rl::components::off_policy_runner::SequentialBatch", %"struct.rl_tools::rl::algorithms::td3::ActorTrainingBuffers", [2 x %"struct.rl_tools::nn_models::sequential::ModuleBuffer.114"], %"struct.rl_tools::nn_models::sequential::ModuleBuffer.114", i64 }
%"struct.rl_tools::nn::optimizers::Adam" = type { %"struct.rl_tools::nn::optimizers::adam::Parameters", float, float, i64 }
%"struct.rl_tools::nn::optimizers::adam::Parameters" = type { float, float, float, float, float, float, float, float, float }
%"struct.rl_tools::rl::components::OffPolicyRunner" = type { %"struct.rl_tools::rl::components::off_policy_runner::ParametersRuntime", %"struct.rl_tools::rl::components::off_policy_runner::Buffers", i64, i8, %"struct.rl_tools::Matrix.3", [8 x i8], %"struct.rl_tools::Matrix.5", %"struct.rl_tools::Matrix.7", %"struct.rl_tools::Matrix.9", %"struct.rl_tools::Matrix.11", %"struct.rl_tools::Matrix.1", %"struct.rl_tools::Matrix.13", %"struct.rl_tools::Matrix.15" }
%"struct.rl_tools::rl::components::off_policy_runner::ParametersRuntime" = type { float }
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%"struct.rl_tools::nn::parameters::Gradient::instance.20" = type { %"struct.rl_tools::nn::parameters::Plain::instance.21", %"struct.rl_tools::Matrix.22" }
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%"class.std::mersenne_twister_engine" = type { [624 x i64], i64 }
%"struct.rl_tools::nn_models::sequential::ModuleBuffer.123" = type { %"struct.rl_tools::Tensor.124", %"struct.rl_tools::Tensor.124", %"struct.rl_tools::nn_models::sequential::ContentBuffer.126" }
%"struct.rl_tools::Tensor.124" = type { %"struct.rl_tools::tensor::TensorDynamic.125" }
%"struct.rl_tools::tensor::TensorDynamic.125" = type { ptr }
%"struct.rl_tools::nn_models::sequential::ContentBuffer.126" = type { %"struct.rl_tools::nn_models::mlp::NeuralNetworkBuffers.127", %"struct.rl_tools::nn_models::sequential::ContentBuffer.131" }
%"struct.rl_tools::nn_models::mlp::NeuralNetworkBuffers.127" = type <{ %"struct.rl_tools::Matrix.128", %"struct.rl_tools::Matrix.128", [8 x i8] }>
%"struct.rl_tools::Matrix.128" = type { %"struct.rl_tools::matrix::MatrixDynamic.129" }
%"struct.rl_tools::matrix::MatrixDynamic.129" = type { ptr }
%"struct.rl_tools::nn_models::sequential::ContentBuffer.131" = type <{ %"struct.rl_tools::nn::layers::td3_sampling::Buffer.132", [8 x i8] }>
%"struct.rl_tools::nn::layers::td3_sampling::Buffer.132" = type { %"struct.rl_tools::Matrix.133" }
%"struct.rl_tools::Matrix.133" = type { %"struct.rl_tools::matrix::MatrixDynamic.134" }
%"struct.rl_tools::matrix::MatrixDynamic.134" = type { ptr }
%"class.std::chrono::time_point" = type { %"class.std::chrono::duration" }
%"class.std::chrono::duration" = type { i64 }

@_ZSt4cerr = external global %"class.std::basic_ostream", align 8
@.str.1 = external hidden unnamed_addr constant [7 x i8], align 1
@_ZSt4cout = external global %"class.std::basic_ostream", align 8
@.str.2 = external hidden unnamed_addr constant [41 x i8], align 1

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

declare i32 @__gxx_personality_v0(...)

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

; Function Attrs: mustprogress norecurse uwtable
define dso_local noundef i32 @main(i32 noundef %0, ptr noundef %1) #1 personality ptr @__gxx_personality_v0 {
  %3 = alloca i32, align 4
  %4 = alloca i32, align 4
  %5 = alloca ptr, align 8
  %6 = alloca %"struct.rl_tools::devices::CPU", align 8
  %7 = alloca i64, align 8
  %8 = alloca ptr, align 8
  %9 = alloca i32, align 4
  %10 = alloca %"struct.rl_tools::rl::loop::steps::timing::State", align 8
  store i32 0, ptr %3, align 4
  store i32 %0, ptr %4, align 4, !tbaa !5
  store ptr %1, ptr %5, align 8, !tbaa !9
  call void @llvm.lifetime.start.p0(i64 112, ptr %6) #7
  call void @_ZN8rl_tools7devices3CPUINS0_3cpu13SpecificationINS0_4math3CPUENS0_6random3CPUENS0_7logging3CPUEEEEC2Ev(ptr noundef nonnull align 8 dereferenceable(105) %6) #7
  call void @llvm.lifetime.start.p0(i64 8, ptr %7) #7
  store i64 0, ptr %7, align 8, !tbaa !11
  %11 = load i32, ptr %4, align 4, !tbaa !5
  %12 = icmp sgt i32 %11, 1
  br i1 %12, label %13, label %19

13:                                               ; preds = %2
  %14 = load ptr, ptr %5, align 8, !tbaa !9
  %15 = getelementptr inbounds ptr, ptr %14, i64 1
  %16 = load ptr, ptr %15, align 8, !tbaa !9
  %17 = call i32 @atoi(ptr noundef %16) #8
  %18 = sext i32 %17 to i64
  store i64 %18, ptr %7, align 8, !tbaa !11
  br label %19

19:                                               ; preds = %13, %2
  %20 = invoke noundef nonnull align 8 dereferenceable(8) ptr @_ZStlsISt11char_traitsIcEERSt13basic_ostreamIcT_ES5_PKc(ptr noundef nonnull align 8 dereferenceable(8) @_ZSt4cerr, ptr noundef @.str.1)
          to label %21 unwind label %50

21:                                               ; preds = %19
  %22 = load i64, ptr %7, align 8, !tbaa !11
  %23 = invoke noundef nonnull align 8 dereferenceable(8) ptr @_ZNSolsEm(ptr noundef nonnull align 8 dereferenceable(8) %20, i64 noundef %22)
          to label %24 unwind label %50

24:                                               ; preds = %21
  %25 = invoke noundef nonnull align 8 dereferenceable(8) ptr @_ZNSolsEPFRSoS_E(ptr noundef nonnull align 8 dereferenceable(8) %23, ptr noundef @_ZSt4endlIcSt11char_traitsIcEERSt13basic_ostreamIT_T0_ES6_)
          to label %26 unwind label %50

26:                                               ; preds = %24
  invoke void @_ZN8rl_tools6mallocINS_7devices3cpu13SpecificationINS1_4math3CPUENS1_6random3CPUENS1_7logging3CPUEEEEEvRNS1_6DeviceIT_EE(ptr noundef nonnull align 1 dereferenceable(1) %6)
          to label %27 unwind label %50

27:                                               ; preds = %26
  invoke void @_ZN8rl_tools4initINS_7devices3cpu13SpecificationINS1_4math3CPUENS1_6random3CPUENS1_7logging3CPUEEEEEvRNS1_3CPUIT_EE(ptr noundef nonnull align 8 dereferenceable(105) %6)
          to label %28 unwind label %50

28:                                               ; preds = %27
  call void @llvm.lifetime.start.p0(i64 12176, ptr %10) #7
  invoke void @_ZN8rl_tools2rl4loop5steps6timing5StateINS3_6ConfigINS2_10evaluation6ConfigINS0_10algorithms3td34loop4core6ConfigIfmSt23mersenne_twister_engineImLm32ELm624ELm397ELm31ELm2567483615ELm11ELm4294967295ELm7ELm2636928640ELm15ELm4022730752ELm18ELm1812433253EENS0_12environments8PendulumINSF_8pendulum13SpecificationIfmNSH_17DefaultParametersIfEEEEEE20LOOP_CORE_PARAMETERSNSB_22ConfigApproximatorsMLPELb1EEENS6_10ParametersIfmSP_EENSF_7DummyUIEEENS3_10ParametersImLm1EEEEENS6_5StateIST_NSB_5StateISP_EEEEEC2Ev(ptr noundef nonnull align 8 dereferenceable(12176) %10)
          to label %29 unwind label %54

29:                                               ; preds = %28
  invoke void @_ZN8rl_tools6mallocINS_7devices3CPUINS1_3cpu13SpecificationINS1_4math3CPUENS1_6random3CPUENS1_7logging3CPUEEEEENS_2rl4loop5steps10evaluation6ConfigINSD_10algorithms3td34loop4core6ConfigIfmSt23mersenne_twister_engineImLm32ELm624ELm397ELm31ELm2567483615ELm11ELm4294967295ELm7ELm2636928640ELm15ELm4022730752ELm18ELm1812433253EENSD_12environments8PendulumINSP_8pendulum13SpecificationIfmNSR_17DefaultParametersIfEEEEEE20LOOP_CORE_PARAMETERSNSL_22ConfigApproximatorsMLPELb1EEENSG_10ParametersIfmSZ_EENSP_7DummyUIEEEEEvRT_RNSG_5StateIT0_NS17_4NEXT5StateINS17_4NEXTEEEEE(ptr noundef nonnull align 8 dereferenceable(105) %6, ptr noundef nonnull align 8 dereferenceable(12147) %10)
          to label %30 unwind label %54

30:                                               ; preds = %29
  %31 = load i64, ptr %7, align 8, !tbaa !11
  invoke void @_ZN8rl_tools4initINS_7devices3CPUINS1_3cpu13SpecificationINS1_4math3CPUENS1_6random3CPUENS1_7logging3CPUEEEEENS_2rl4loop5steps6timing6ConfigINSF_10evaluation6ConfigINSD_10algorithms3td34loop4core6ConfigIfmSt23mersenne_twister_engineImLm32ELm624ELm397ELm31ELm2567483615ELm11ELm4294967295ELm7ELm2636928640ELm15ELm4022730752ELm18ELm1812433253EENSD_12environments8PendulumINSR_8pendulum13SpecificationIfmNST_17DefaultParametersIfEEEEEE20LOOP_CORE_PARAMETERSNSN_22ConfigApproximatorsMLPELb1EEENSI_10ParametersIfmS11_EENSR_7DummyUIEEENSG_10ParametersImLm1EEEEEEEvRT_RNSG_5StateIT0_NS1C_4NEXT5StateINS1C_4NEXTEEEEENS1C_2TIE(ptr noundef nonnull align 8 dereferenceable(105) %6, ptr noundef nonnull align 8 dereferenceable(12176) %10, i64 noundef %31)
          to label %32 unwind label %54

32:                                               ; preds = %30
  br label %33

33:                                               ; preds = %58, %32
  %34 = invoke noundef zeroext i1 @_ZN8rl_tools4stepINS_7devices3CPUINS1_3cpu13SpecificationINS1_4math3CPUENS1_6random3CPUENS1_7logging3CPUEEEEENS_2rl4loop5steps6timing6ConfigINSF_10evaluation6ConfigINSD_10algorithms3td34loop4core6ConfigIfmSt23mersenne_twister_engineImLm32ELm624ELm397ELm31ELm2567483615ELm11ELm4294967295ELm7ELm2636928640ELm15ELm4022730752ELm18ELm1812433253EENSD_12environments8PendulumINSR_8pendulum13SpecificationIfmNST_17DefaultParametersIfEEEEEE20LOOP_CORE_PARAMETERSNSN_22ConfigApproximatorsMLPELb1EEENSI_10ParametersIfmS11_EENSR_7DummyUIEEENSG_10ParametersImLm1EEEEEEEbRT_RNSG_5StateIT0_NS1C_4NEXT5StateINS1C_4NEXTEEEEE(ptr noundef nonnull align 8 dereferenceable(105) %6, ptr noundef nonnull align 8 dereferenceable(12176) %10)
          to label %35 unwind label %54

35:                                               ; preds = %33
  %36 = xor i1 %34, true
  br i1 %36, label %37, label %59

37:                                               ; preds = %35
  %38 = getelementptr inbounds %"struct.rl_tools::rl::algorithms::td3::loop::core::State", ptr %10, i32 0, i32 14
  %39 = load i64, ptr %38, align 8, !tbaa !13
  %40 = icmp eq i64 %39, 5000
  br i1 %40, label %41, label %58

41:                                               ; preds = %37
  %42 = invoke noundef nonnull align 8 dereferenceable(8) ptr @_ZStlsISt11char_traitsIcEERSt13basic_ostreamIcT_ES5_PKc(ptr noundef nonnull align 8 dereferenceable(8) @_ZSt4cout, ptr noundef @.str.2)
          to label %43 unwind label %54

43:                                               ; preds = %41
  %44 = getelementptr inbounds %"struct.rl_tools::rl::algorithms::td3::loop::core::State", ptr %10, i32 0, i32 14
  %45 = load i64, ptr %44, align 8, !tbaa !13
  %46 = invoke noundef nonnull align 8 dereferenceable(8) ptr @_ZNSolsEm(ptr noundef nonnull align 8 dereferenceable(8) %42, i64 noundef %45)
          to label %47 unwind label %54

47:                                               ; preds = %43
  %48 = invoke noundef nonnull align 8 dereferenceable(8) ptr @_ZNSolsEPFRSoS_E(ptr noundef nonnull align 8 dereferenceable(8) %46, ptr noundef @_ZSt4endlIcSt11char_traitsIcEERSt13basic_ostreamIT_T0_ES6_)
          to label %49 unwind label %54

49:                                               ; preds = %47
  br label %58

50:                                               ; preds = %27, %26, %24, %21, %19
  %51 = landingpad { ptr, i32 }
          cleanup
  %52 = extractvalue { ptr, i32 } %51, 0
  store ptr %52, ptr %8, align 8
  %53 = extractvalue { ptr, i32 } %51, 1
  store i32 %53, ptr %9, align 4
  br label %62

54:                                               ; preds = %59, %47, %43, %41, %33, %30, %29, %28
  %55 = landingpad { ptr, i32 }
          cleanup
  %56 = extractvalue { ptr, i32 } %55, 0
  store ptr %56, ptr %8, align 8
  %57 = extractvalue { ptr, i32 } %55, 1
  store i32 %57, ptr %9, align 4
  call void @llvm.lifetime.end.p0(i64 12176, ptr %10) #7
  br label %62

58:                                               ; preds = %49, %37
  br label %33, !llvm.loop !151

59:                                               ; preds = %35
  invoke void @_ZN8rl_tools4freeINS_7devices3cpu13SpecificationINS1_4math3CPUENS1_6random3CPUENS1_7logging3CPUEEEEEvRNS1_6DeviceIT_EE(ptr noundef nonnull align 1 dereferenceable(1) %6)
          to label %60 unwind label %54

60:                                               ; preds = %59
  store i32 0, ptr %3, align 4
  call void @llvm.lifetime.end.p0(i64 12176, ptr %10) #7
  call void @llvm.lifetime.end.p0(i64 8, ptr %7) #7
  call void @_ZN8rl_tools7devices3CPUINS0_3cpu13SpecificationINS0_4math3CPUENS0_6random3CPUENS0_7logging3CPUEEEED2Ev(ptr noundef nonnull align 8 dereferenceable(105) %6) #7
  call void @llvm.lifetime.end.p0(i64 112, ptr %6) #7
  %61 = load i32, ptr %3, align 4
  ret i32 %61

62:                                               ; preds = %54, %50
  call void @llvm.lifetime.end.p0(i64 8, ptr %7) #7
  call void @_ZN8rl_tools7devices3CPUINS0_3cpu13SpecificationINS0_4math3CPUENS0_6random3CPUENS0_7logging3CPUEEEED2Ev(ptr noundef nonnull align 8 dereferenceable(105) %6) #7
  call void @llvm.lifetime.end.p0(i64 112, ptr %6) #7
  br label %63

63:                                               ; preds = %62
  %64 = load ptr, ptr %8, align 8
  %65 = load i32, ptr %9, align 4
  %66 = insertvalue { ptr, i32 } poison, ptr %64, 0
  %67 = insertvalue { ptr, i32 } %66, i32 %65, 1
  resume { ptr, i32 } %67
}

; Function Attrs: inlinehint mustprogress nounwind uwtable
declare dso_local void @_ZN8rl_tools7devices3CPUINS0_3cpu13SpecificationINS0_4math3CPUENS0_6random3CPUENS0_7logging3CPUEEEEC2Ev(ptr noundef nonnull align 8 dereferenceable(105)) unnamed_addr #2 align 2

; Function Attrs: inlinehint mustprogress nounwind willreturn memory(read) uwtable
declare i32 @atoi(ptr noundef nonnull) #3

; Function Attrs: inlinehint mustprogress uwtable
declare noundef nonnull align 8 dereferenceable(8) ptr @_ZStlsISt11char_traitsIcEERSt13basic_ostreamIcT_ES5_PKc(ptr noundef nonnull align 8 dereferenceable(8), ptr noundef) #4

; Function Attrs: mustprogress uwtable
declare noundef nonnull align 8 dereferenceable(8) ptr @_ZNSolsEm(ptr noundef nonnull align 8 dereferenceable(8), i64 noundef) #5 align 2

; Function Attrs: mustprogress uwtable
declare noundef nonnull align 8 dereferenceable(8) ptr @_ZNSolsEPFRSoS_E(ptr noundef nonnull align 8 dereferenceable(8), ptr noundef) #5 align 2

; Function Attrs: inlinehint mustprogress uwtable
declare noundef nonnull align 8 dereferenceable(8) ptr @_ZSt4endlIcSt11char_traitsIcEERSt13basic_ostreamIT_T0_ES6_(ptr noundef nonnull align 8 dereferenceable(8)) #4

; Function Attrs: mustprogress nounwind uwtable
declare dso_local void @_ZN8rl_tools6mallocINS_7devices3cpu13SpecificationINS1_4math3CPUENS1_6random3CPUENS1_7logging3CPUEEEEEvRNS1_6DeviceIT_EE(ptr noundef nonnull align 1 dereferenceable(1)) #6

; Function Attrs: mustprogress uwtable
declare dso_local void @_ZN8rl_tools4initINS_7devices3cpu13SpecificationINS1_4math3CPUENS1_6random3CPUENS1_7logging3CPUEEEEEvRNS1_3CPUIT_EE(ptr noundef nonnull align 8 dereferenceable(105)) #5

; Function Attrs: inlinehint mustprogress uwtable
declare dso_local void @_ZN8rl_tools2rl4loop5steps6timing5StateINS3_6ConfigINS2_10evaluation6ConfigINS0_10algorithms3td34loop4core6ConfigIfmSt23mersenne_twister_engineImLm32ELm624ELm397ELm31ELm2567483615ELm11ELm4294967295ELm7ELm2636928640ELm15ELm4022730752ELm18ELm1812433253EENS0_12environments8PendulumINSF_8pendulum13SpecificationIfmNSH_17DefaultParametersIfEEEEEE20LOOP_CORE_PARAMETERSNSB_22ConfigApproximatorsMLPELb1EEENS6_10ParametersIfmSP_EENSF_7DummyUIEEENS3_10ParametersImLm1EEEEENS6_5StateIST_NSB_5StateISP_EEEEEC2Ev(ptr noundef nonnull align 8 dereferenceable(12176)) unnamed_addr #4 align 2

; Function Attrs: mustprogress uwtable
declare dso_local void @_ZN8rl_tools6mallocINS_7devices3CPUINS1_3cpu13SpecificationINS1_4math3CPUENS1_6random3CPUENS1_7logging3CPUEEEEENS_2rl4loop5steps10evaluation6ConfigINSD_10algorithms3td34loop4core6ConfigIfmSt23mersenne_twister_engineImLm32ELm624ELm397ELm31ELm2567483615ELm11ELm4294967295ELm7ELm2636928640ELm15ELm4022730752ELm18ELm1812433253EENSD_12environments8PendulumINSP_8pendulum13SpecificationIfmNSR_17DefaultParametersIfEEEEEE20LOOP_CORE_PARAMETERSNSL_22ConfigApproximatorsMLPELb1EEENSG_10ParametersIfmSZ_EENSP_7DummyUIEEEEEvRT_RNSG_5StateIT0_NS17_4NEXT5StateINS17_4NEXTEEEEE(ptr noundef nonnull align 8 dereferenceable(105), ptr noundef nonnull align 8 dereferenceable(12147)) #5

; Function Attrs: mustprogress uwtable
declare dso_local void @_ZN8rl_tools4initINS_7devices3CPUINS1_3cpu13SpecificationINS1_4math3CPUENS1_6random3CPUENS1_7logging3CPUEEEEENS_2rl4loop5steps6timing6ConfigINSF_10evaluation6ConfigINSD_10algorithms3td34loop4core6ConfigIfmSt23mersenne_twister_engineImLm32ELm624ELm397ELm31ELm2567483615ELm11ELm4294967295ELm7ELm2636928640ELm15ELm4022730752ELm18ELm1812433253EENSD_12environments8PendulumINSR_8pendulum13SpecificationIfmNST_17DefaultParametersIfEEEEEE20LOOP_CORE_PARAMETERSNSN_22ConfigApproximatorsMLPELb1EEENSI_10ParametersIfmS11_EENSR_7DummyUIEEENSG_10ParametersImLm1EEEEEEEvRT_RNSG_5StateIT0_NS1C_4NEXT5StateINS1C_4NEXTEEEEENS1C_2TIE(ptr noundef nonnull align 8 dereferenceable(105), ptr noundef nonnull align 8 dereferenceable(12176), i64 noundef) #5

; Function Attrs: mustprogress uwtable
declare dso_local noundef zeroext i1 @_ZN8rl_tools4stepINS_7devices3CPUINS1_3cpu13SpecificationINS1_4math3CPUENS1_6random3CPUENS1_7logging3CPUEEEEENS_2rl4loop5steps6timing6ConfigINSF_10evaluation6ConfigINSD_10algorithms3td34loop4core6ConfigIfmSt23mersenne_twister_engineImLm32ELm624ELm397ELm31ELm2567483615ELm11ELm4294967295ELm7ELm2636928640ELm15ELm4022730752ELm18ELm1812433253EENSD_12environments8PendulumINSR_8pendulum13SpecificationIfmNST_17DefaultParametersIfEEEEEE20LOOP_CORE_PARAMETERSNSN_22ConfigApproximatorsMLPELb1EEENSI_10ParametersIfmS11_EENSR_7DummyUIEEENSG_10ParametersImLm1EEEEEEEbRT_RNSG_5StateIT0_NS1C_4NEXT5StateINS1C_4NEXTEEEEE(ptr noundef nonnull align 8 dereferenceable(105), ptr noundef nonnull align 8 dereferenceable(12176)) #5

; Function Attrs: mustprogress nounwind uwtable
declare dso_local void @_ZN8rl_tools4freeINS_7devices3cpu13SpecificationINS1_4math3CPUENS1_6random3CPUENS1_7logging3CPUEEEEEvRNS1_6DeviceIT_EE(ptr noundef nonnull align 1 dereferenceable(1)) #6

; Function Attrs: inlinehint mustprogress nounwind uwtable
declare dso_local void @_ZN8rl_tools7devices3CPUINS0_3cpu13SpecificationINS0_4math3CPUENS0_6random3CPUENS0_7logging3CPUEEEED2Ev(ptr noundef nonnull align 8 dereferenceable(105)) unnamed_addr #2 align 2

attributes #0 = { nocallback nofree nosync nounwind willreturn memory(argmem: readwrite) }
attributes #1 = { mustprogress norecurse 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 = { inlinehint 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 #3 = { inlinehint mustprogress nounwind willreturn memory(read) 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 #4 = { inlinehint 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 #5 = { 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 #6 = { 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 #7 = { nounwind }
attributes #8 = { nounwind willreturn memory(read) }

!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 = !{!"int", !7, i64 0}
!7 = !{!"omnipotent char", !8, i64 0}
!8 = !{!"Simple C++ TBAA"}
!9 = !{!10, !10, i64 0}
!10 = !{!"any pointer", !7, i64 0}
!11 = !{!12, !12, i64 0}
!12 = !{!"long", !7, i64 0}
!13 = !{!14, !12, i64 7064}
!14 = !{!"_ZTSN8rl_tools2rl10algorithms3td34loop4core5StateINS4_6ConfigIfmSt23mersenne_twister_engineImLm32ELm624ELm397ELm31ELm2567483615ELm11ELm4294967295ELm7ELm2636928640ELm15ELm4022730752ELm18ELm1812433253EENS0_12environments8PendulumINS9_8pendulum13SpecificationIfmNSB_17DefaultParametersIfEEEEEE20LOOP_CORE_PARAMETERSNS4_22ConfigApproximatorsMLPELb1EEEEE", !15, i64 0, !7, i64 56, !18, i64 168, !19, i64 5168, !7, i64 5304, !7, i64 5305, !51, i64 5312, !126, i64 6432, !136, i64 6544, !7, i64 6624, !126, i64 6720, !141, i64 6832, !7, i64 6896, !144, i64 7008, !12, i64 7064}
!15 = !{!"_ZTSN8rl_tools2nn10optimizers4AdamINS1_4adam13SpecificationIfmNS3_29DEFAULT_PARAMETERS_TENSORFLOWIfEEEEEE", !16, i64 0, !17, i64 36, !17, i64 40, !12, i64 48}
!16 = !{!"_ZTSN8rl_tools2nn10optimizers4adam10ParametersIfEE", !17, i64 0, !17, i64 4, !17, i64 8, !17, i64 12, !17, i64 16, !17, i64 20, !17, i64 24, !17, i64 28, !17, i64 32}
!17 = !{!"float", !7, i64 0}
!18 = !{!"_ZTSSt23mersenne_twister_engineImLm32ELm624ELm397ELm31ELm2567483615ELm11ELm4294967295ELm7ELm2636928640ELm15ELm4022730752ELm18ELm1812433253EE", !7, i64 0, !12, i64 4992}
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!119 = !{!"_ZTSN8rl_tools2nn6layers5dense12LayerForwardINS2_13SpecificationINS2_13ConfigurationIfmLm1ELNS0_20activation_functions18ActivationFunctionE0ENS2_14KaimingUniformINS2_27KaimingUniformSpecificationIfmEEEENS0_10parameters6groups6OutputEEENS0_10capability8GradientINSC_4AdamELb1EEENS_6tensor7ReplaceINSL_INSK_5ShapeImJLm1ELm100ELm4EEEELm64ELm2EEELm64ELm2EEEEEEE", !77, i64 0, !80, i64 32}
!120 = !{!"_ZTSN8rl_tools9nn_models10sequential5BuildINS_2nn10capability7ForwardILb1EEENS1_6ModuleINS0_3mlp17BindConfigurationINS8_13ConfigurationIfmLm1ELm3ELm64ELNS3_20activation_functions18ActivationFunctionE1ELSC_0ENS3_6layers5dense14KaimingUniformINSE_27KaimingUniformSpecificationIfmEEEELb1ELb1EEEEENS1_12OutputModuleEEENS_6tensor5ShapeImJLm1ELm100ELm4EEEEEE", !121, i64 0}
!121 = !{!"_ZTSN8rl_tools9nn_models10sequential13ModuleForwardINS1_23CapabilitySpecificationINS_2nn10capability7ForwardILb1EEENS1_13SpecificationINS1_6ModuleINS0_3mlp17BindConfigurationINSA_13ConfigurationIfmLm1ELm3ELm64ELNS4_20activation_functions18ActivationFunctionE1ELSE_0ENS4_6layers5dense14KaimingUniformINSG_27KaimingUniformSpecificationIfmEEEELb1ELb1EEEEENS1_12OutputModuleEEENSA_20NeuralNetworkForwardINSA_13SpecificationISL_S7_NS_6tensor5ShapeImJLm1ELm100ELm4EEEEEEEESN_EEEEEE", !122, i64 0, !37, i64 48}
!122 = !{!"_ZTSN8rl_tools9nn_models3mlp20NeuralNetworkForwardINS1_13SpecificationINS1_13ConfigurationIfmLm1ELm3ELm64ELNS_2nn20activation_functions18ActivationFunctionE1ELS7_0ENS5_6layers5dense14KaimingUniformINS9_27KaimingUniformSpecificationIfmEEEELb1ELb1EEENS5_10capability7ForwardILb1EEENS_6tensor5ShapeImJLm1ELm100ELm4EEEEEEEE", !123, i64 0, !7, i64 16, !125, i64 32}
!123 = !{!"_ZTSN8rl_tools2nn6layers5dense12LayerForwardINS2_13SpecificationINS2_13ConfigurationIfmLm64ELNS0_20activation_functions18ActivationFunctionE1ENS2_14KaimingUniformINS2_27KaimingUniformSpecificationIfmEEEENS0_10parameters6groups5InputEEENS0_10capability7ForwardILb1EEENS_6tensor5ShapeImJLm1ELm100ELm4EEEEEEEE", !124, i64 0, !96, i64 8}
!124 = !{!"_ZTSN8rl_tools2nn10parameters5Plain8instanceINS2_4specINS_6MatrixINS_6matrix13SpecificationIfmLm64ELm4ELb1ENS6_7layouts17RowMajorAlignmentImLm1EEELb0EEEEENS1_6groups5InputENS1_10categories7WeightsEEEEE", !115, i64 0}
!125 = !{!"_ZTSN8rl_tools2nn6layers5dense12LayerForwardINS2_13SpecificationINS2_13ConfigurationIfmLm1ELNS0_20activation_functions18ActivationFunctionE0ENS2_14KaimingUniformINS2_27KaimingUniformSpecificationIfmEEEENS0_10parameters6groups6OutputEEENS0_10capability7ForwardILb1EEENS_6tensor7ReplaceINSK_INSJ_5ShapeImJLm1ELm100ELm4EEEELm64ELm2EEELm64ELm2EEEEEEE", !98, i64 0, !99, i64 8}
!126 = !{!"_ZTSN8rl_tools2rl10components17off_policy_runner15SequentialBatchINS2_28SequentialBatchSpecificationINS2_13SpecificationIfmNS0_12environments8PendulumINS6_8pendulum13SpecificationIfmNS8_17DefaultParametersIfEEEEEENS_5utils5TupleImJNS_9nn_models13RandomUniformINSG_14random_uniform13SpecificationIfmLm3ELm1ELNSI_5RangeE0EEEEENSG_10sequential5BuildINS_2nn10capability8GradientINSP_10parameters4AdamELb1EEENSN_6ModuleINSG_3mlp17BindConfigurationINSW_13ConfigurationIfmLm1ELm3ELm64ELNSP_20activation_functions18ActivationFunctionE1ELS10_3ENSP_6layers5dense14KaimingUniformINS12_27KaimingUniformSpecificationIfmEEEELb1ELb1EEEEENSV_INS11_12td3_sampling17BindConfigurationINS19_13ConfigurationIfmNS0_10algorithms3td34loop4core22ConfigApproximatorsMLPIfmSD_20LOOP_CORE_PARAMETERSLb1EE5ACTORISU_E19SAMPLING_PARAMETERSEEEEENSN_12OutputModuleEEEEENS_6tensor5ShapeImJLm1ELm100ELm3EEEEEEEEENS1F_6ConfigIfmSt23mersenne_twister_engineImLm32ELm624ELm397ELm31ELm2567483615ELm11ELm4294967295ELm7ELm2636928640ELm15ELm4022730752ELm18ELm1812433253EESD_S1H_S1G_Lb1EE28OFF_POLICY_RUNNER_PARAMETERSELb1EEELm1ELm100ELb1EEEEE", !127, i64 0, !129, i64 8, !129, i64 16, !130, i64 24, !131, i64 32, !129, i64 40, !130, i64 48, !131, i64 56, !129, i64 64, !132, i64 72, !134, i64 80, !134, i64 88, !134, i64 96, !134, i64 104}
!127 = !{!"_ZTSN8rl_tools6TensorINS_6tensor13SpecificationIfmNS1_5ShapeImJLm1ELm100ELm8EEEELb1ENS1_6AppendINS1_8PopFrontINS1_17CumulativeProductIS4_EEEELi1EEELb0EEEEE", !128, i64 0}
!128 = !{!"_ZTSN8rl_tools6tensor13TensorDynamicIfmLm800ELb0EEE", !10, i64 0}
!129 = !{!"_ZTSN8rl_tools6TensorINS_6tensor13SpecificationIfmNS1_7ReplaceINS1_5ShapeImJLm1ELm100ELm8EEEELm3ELi2EEELb1ENS1_6AppendINS1_8PopFrontINS1_17CumulativeProductIS5_EEEELi1EEELb0EEEEE", !128, i64 0}
!130 = !{!"_ZTSN8rl_tools6TensorINS_6tensor13SpecificationIfmNS1_7ReplaceINS1_5ShapeImJLm1ELm100ELm8EEEELm1ELi2EEELb1ENS1_6AppendINS1_8PopFrontINS1_17CumulativeProductIS5_EEEELi1EEELb0EEEEE", !128, i64 0}
!131 = !{!"_ZTSN8rl_tools6TensorINS_6tensor13SpecificationIfmNS1_7ReplaceINS1_5ShapeImJLm1ELm100ELm8EEEELm4ELi2EEELb1ENS1_6AppendINS1_8PopFrontINS1_17CumulativeProductIS5_EEEELi1EEELb0EEEEE", !128, i64 0}
!132 = !{!"_ZTSN8rl_tools6TensorINS_6tensor13SpecificationIfmNS1_5ShapeImJLm1ELm100ELm1EEEELb1ENS1_6AppendINS1_8PopFrontINS1_17CumulativeProductIS4_EEEELi1EEELb0EEEEE", !133, i64 0}
!133 = !{!"_ZTSN8rl_tools6tensor13TensorDynamicIfmLm100ELb0EEE", !10, i64 0}
!134 = !{!"_ZTSN8rl_tools6TensorINS_6tensor13SpecificationIbmNS1_5ShapeImJLm1ELm100ELm1EEEELb1ENS1_6AppendINS1_8PopFrontINS1_17CumulativeProductIS4_EEEELi1EEELb0EEEEE", !135, i64 0}
!135 = !{!"_ZTSN8rl_tools6tensor13TensorDynamicIbmLm100ELb0EEE", !10, i64 0}
!136 = !{!"_ZTSN8rl_tools2rl10algorithms3td321CriticTrainingBuffersINS2_34CriticTrainingBuffersSpecificationINS2_13SpecificationIfmNS0_12environments8PendulumINS6_8pendulum13SpecificationIfmNS8_17DefaultParametersIfEEEEEENS_9nn_models10sequential5BuildINS_2nn10capability8GradientINSH_10parameters4AdamELb1EEENSF_6ModuleINSE_3mlp17BindConfigurationINSO_13ConfigurationIfmLm1ELm3ELm64ELNSH_20activation_functions18ActivationFunctionE1ELSS_3ENSH_6layers5dense14KaimingUniformINSU_27KaimingUniformSpecificationIfmEEEELb1ELb1EEEEENSN_INST_12td3_sampling17BindConfigurationINS11_13ConfigurationIfmNS2_4loop4core22ConfigApproximatorsMLPIfmSD_20LOOP_CORE_PARAMETERSLb1EE5ACTORISM_E19SAMPLING_PARAMETERSEEEEENSF_12OutputModuleEEEEENS_6tensor5ShapeImJLm1ELm100ELm3EEEEEENSG_INSI_7ForwardILb1EEENSN_IS10_NSN_INS12_INS13_IfmNS19_IS1M_E19SAMPLING_PARAMETERSEEEEES1E_EEEES1J_EENSG_ISM_NSN_INSP_INSQ_IfmLm1ELm3ELm64ELSS_1ELSS_0ESY_Lb1ELb1EEEEES1E_EENS1I_ImJLm1ELm100ELm4EEEEEENSG_IS1M_S1W_S1X_EENSH_10optimizers4AdamINS20_4adam13SpecificationIfmNS22_29DEFAULT_PARAMETERS_TENSORFLOWIfEEEEEENS2_17DefaultParametersIfmEEEELb1EEEEE", !132, i64 0, !137, i64 8, !139, i64 16, !140, i64 24, !132, i64 32, !132, i64 40, !132, i64 48, !132, i64 56, !137, i64 64, !132, i64 72}
!137 = !{!"_ZTSN8rl_tools6TensorINS_6tensor13SpecificationIfmNS1_5ShapeImJLm1ELm100ELm4EEEELb1ENS1_6AppendINS1_8PopFrontINS1_17CumulativeProductIS4_EEEELi1EEELb0EEEEE", !138, i64 0}
!138 = !{!"_ZTSN8rl_tools6tensor13TensorDynamicIfmLm400ELb0EEE", !10, i64 0}
!139 = !{!"_ZTSN8rl_tools6TensorINS_6tensor13SpecificationIfmNS1_7ReplaceINS1_5ShapeImJLm1ELm100ELm4EEEELm3ELi2EEELb1ENS1_6AppendINS1_8PopFrontINS1_17CumulativeProductIS5_EEEELi1EEELb0EEEEE", !138, i64 0}
!140 = !{!"_ZTSN8rl_tools6TensorINS_6tensor13SpecificationIfmNS1_7ReplaceINS1_5ShapeImJLm1ELm100ELm4EEEELm1ELi2EEELb1ENS1_6AppendINS1_8PopFrontINS1_17CumulativeProductIS5_EEEELi1EEELb0EEEEE", !138, i64 0}
!141 = !{!"_ZTSN8rl_tools2rl10algorithms3td320ActorTrainingBuffersINS2_33ActorTrainingBuffersSpecificationINS2_13SpecificationIfmNS0_12environments8PendulumINS6_8pendulum13SpecificationIfmNS8_17DefaultParametersIfEEEEEENS_9nn_models10sequential5BuildINS_2nn10capability8GradientINSH_10parameters4AdamELb1EEENSF_6ModuleINSE_3mlp17BindConfigurationINSO_13ConfigurationIfmLm1ELm3ELm64ELNSH_20activation_functions18ActivationFunctionE1ELSS_3ENSH_6layers5dense14KaimingUniformINSU_27KaimingUniformSpecificationIfmEEEELb1ELb1EEEEENSN_INST_12td3_sampling17BindConfigurationINS11_13ConfigurationIfmNS2_4loop4core22ConfigApproximatorsMLPIfmSD_20LOOP_CORE_PARAMETERSLb1EE5ACTORISM_E19SAMPLING_PARAMETERSEEEEENSF_12OutputModuleEEEEENS_6tensor5ShapeImJLm1ELm100ELm3EEEEEENSG_INSI_7ForwardILb1EEENSN_IS10_NSN_INS12_INS13_IfmNS19_IS1M_E19SAMPLING_PARAMETERSEEEEES1E_EEEES1J_EENSG_ISM_NSN_INSP_INSQ_IfmLm1ELm3ELm64ELSS_1ELSS_0ESY_Lb1ELb1EEEEES1E_EENS1I_ImJLm1ELm100ELm4EEEEEENSG_IS1M_S1W_S1X_EENSH_10optimizers4AdamINS20_4adam13SpecificationIfmNS22_29DEFAULT_PARAMETERS_TENSORFLOWIfEEEEEENS2_17DefaultParametersIfmEEEELb1EEEEE", !137, i64 0, !139, i64 8, !140, i64 16, !132, i64 24, !132, i64 32, !137, i64 40, !132, i64 48, !142, i64 56}
!142 = !{!"_ZTSN8rl_tools6TensorINS_6tensor13SpecificationIfmNS1_5ShapeImJLm1ELm100ELm3EEEELb1ENS1_6AppendINS1_8PopFrontINS1_17CumulativeProductIS4_EEEELi1EEELb0EEEEE", !143, i64 0}
!143 = !{!"_ZTSN8rl_tools6tensor13TensorDynamicIfmLm300ELb0EEE", !10, i64 0}
!144 = !{!"_ZTSN8rl_tools9nn_models10sequential12ModuleBufferINS1_25ModuleBufferSpecificationINS1_23CapabilitySpecificationINS_2nn10capability8GradientINS5_10parameters4AdamELb1EEENS1_13SpecificationINS1_6ModuleINS0_3mlp17BindConfigurationINSD_13ConfigurationIfmLm1ELm3ELm64ELNS5_20activation_functions18ActivationFunctionE1ELSH_3ENS5_6layers5dense14KaimingUniformINSJ_27KaimingUniformSpecificationIfmEEEELb1ELb1EEEEENSC_INSI_12td3_sampling17BindConfigurationINSQ_13ConfigurationIfmNS_2rl10algorithms3td34loop4core22ConfigApproximatorsMLPIfmNST_12environments8PendulumINSZ_8pendulum13SpecificationIfmNS11_17DefaultParametersIfEEEEEE20LOOP_CORE_PARAMETERSLb1EE5ACTORISA_E19SAMPLING_PARAMETERSEEEEENS1_12OutputModuleEEEEENSD_21NeuralNetworkGradientINSD_13SpecificationISO_SA_NS_6tensor5ShapeImJLm1ELm100ELm3EEEEEEEENS1_14ModuleGradientINS4_ISA_NSB_IS1F_NSQ_13LayerGradientINSQ_13SpecificationIS1C_SA_NS1J_7ReplaceIS1L_Lm1ELm2EEEEEEES1E_EEEEEEEEEELb1EEEEE", !145, i64 0, !145, i64 8, !146, i64 16}
!145 = !{!"_ZTSN8rl_tools6TensorINS_6tensor13SpecificationIfmNS1_5ShapeImJLm100EEEELb1ENS1_6AppendINS1_8PopFrontINS1_17CumulativeProductIS4_EEEELi1EEELb0EEEEE", !133, i64 0}
!146 = !{!"_ZTSN8rl_tools9nn_models10sequential13ContentBufferINS1_26ContentBufferSpecificationINS1_23CapabilitySpecificationINS_2nn10capability8GradientINS5_10parameters4AdamELb1EEENS1_13SpecificationINS1_6ModuleINS0_3mlp17BindConfigurationINSD_13ConfigurationIfmLm1ELm3ELm64ELNS5_20activation_functions18ActivationFunctionE1ELSH_3ENS5_6layers5dense14KaimingUniformINSJ_27KaimingUniformSpecificationIfmEEEELb1ELb1EEEEENSC_INSI_12td3_sampling17BindConfigurationINSQ_13ConfigurationIfmNS_2rl10algorithms3td34loop4core22ConfigApproximatorsMLPIfmNST_12environments8PendulumINSZ_8pendulum13SpecificationIfmNS11_17DefaultParametersIfEEEEEE20LOOP_CORE_PARAMETERSLb1EE5ACTORISA_E19SAMPLING_PARAMETERSEEEEENS1_12OutputModuleEEEEENSD_21NeuralNetworkGradientINSD_13SpecificationISO_SA_NS_6tensor5ShapeImJLm1ELm100ELm3EEEEEEEENS1_14ModuleGradientINS4_ISA_NSB_IS1F_NSQ_13LayerGradientINSQ_13SpecificationIS1C_SA_NS1J_7ReplaceIS1L_Lm1ELm2EEEEEEES1E_EEEEEEEEEELb1EEEEE", !147, i64 0, !149, i64 24}
!147 = !{!"_ZTSN8rl_tools9nn_models3mlp20NeuralNetworkBuffersINS1_33NeuralNetworkBuffersSpecificationINS1_13SpecificationINS1_13ConfigurationIfmLm1ELm3ELm64ELNS_2nn20activation_functions18ActivationFunctionE1ELS8_3ENS6_6layers5dense14KaimingUniformINSA_27KaimingUniformSpecificationIfmEEEELb1ELb1EEENS6_10capability8GradientINS6_10parameters4AdamELb1EEENS_6tensor5ShapeImJLm1ELm100ELm3EEEEEELb1EEEEE", !72, i64 0, !72, i64 8, !148, i64 16}
!148 = !{!"_ZTSN8rl_tools2nn6layers5dense6BufferE"}
!149 = !{!"_ZTSN8rl_tools9nn_models10sequential13ContentBufferINS1_26ContentBufferSpecificationINS1_23CapabilitySpecificationINS_2nn10capability8GradientINS5_10parameters4AdamELb1EEENS1_13SpecificationINS1_6ModuleINS5_6layers12td3_sampling17BindConfigurationINSE_13ConfigurationIfmNS_2rl10algorithms3td34loop4core22ConfigApproximatorsMLPIfmNSH_12environments8PendulumINSN_8pendulum13SpecificationIfmNSP_17DefaultParametersIfEEEEEE20LOOP_CORE_PARAMETERSLb1EE5ACTORISA_E19SAMPLING_PARAMETERSEEEEENS1_12OutputModuleEEENSE_13LayerGradientINSE_13SpecificationIS10_SA_NS_6tensor7ReplaceINS16_5ShapeImJLm1ELm100ELm3EEEELm1ELm2EEEEEEES12_EEEELb1EEEEE", !150, i64 0, !37, i64 8}
!150 = !{!"_ZTSN8rl_tools2nn6layers12td3_sampling6BufferINS2_19BufferSpecificationImNS2_13SpecificationINS2_13ConfigurationIfmNS_2rl10algorithms3td34loop4core22ConfigApproximatorsMLPIfmNS7_12environments8PendulumINSD_8pendulum13SpecificationIfmNSF_17DefaultParametersIfEEEEEE20LOOP_CORE_PARAMETERSLb1EE5ACTORINS0_10capability8GradientINS0_10parameters4AdamELb1EEEE19SAMPLING_PARAMETERSEEESS_NS_6tensor7ReplaceINSW_5ShapeImJLm1ELm100ELm3EEEELm1ELm2EEEEELb1EEEEE", !83, i64 0}
!151 = distinct !{!151, !152}
!152 = !{!"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"

%"class.std::basic_ostream" = type { ptr, %"class.std::basic_ios" }
%"class.std::basic_ios" = type { %"class.std::ios_base", ptr, i8, i8, ptr, ptr, ptr, ptr }
%"class.std::ios_base" = type { ptr, i64, i64, i32, i32, i32, ptr, %"struct.std::ios_base::_Words", [8 x %"struct.std::ios_base::_Words"], i32, ptr, %"class.std::locale" }
%"struct.std::ios_base::_Words" = type { ptr, i64 }
%"class.std::locale" = type { ptr }
%"struct.rl_tools::devices::CPU" = type <{ [8 x i8], %"class.std::__cxx11::basic_string", %"class.std::__cxx11::basic_string", %"class.std::__cxx11::basic_string", i8, [7 x i8] }>
%"class.std::__cxx11::basic_string" = type { %"struct.std::__cxx11::basic_string<char>::_Alloc_hider", i64, %union.anon }
%"struct.std::__cxx11::basic_string<char>::_Alloc_hider" = type { ptr }
%union.anon = type { i64, [8 x i8] }
%"struct.rl_tools::rl::loop::steps::timing::State" = type { %"struct.rl_tools::rl::loop::steps::evaluation::State.base", %"class.std::chrono::time_point", %"class.std::chrono::time_point", i64 }
%"struct.rl_tools::rl::loop::steps::evaluation::State.base" = type <{ %"struct.rl_tools::rl::algorithms::td3::loop::core::State", %"struct.rl_tools::Matrix.121", %"class.std::mersenne_twister_engine", [8 x i8], %"struct.rl_tools::nn_models::sequential::ModuleBuffer.123", [3 x i8] }>
%"struct.rl_tools::rl::algorithms::td3::loop::core::State" = type { %"struct.rl_tools::nn::optimizers::Adam", [2 x %"struct.rl_tools::nn::optimizers::Adam"], %"class.std::mersenne_twister_engine", %"struct.rl_tools::rl::components::OffPolicyRunner", [1 x %"struct.rl_tools::rl::environments::Pendulum"], [1 x %"struct.rl_tools::rl::environments::pendulum::DefaultParameters"], %"struct.rl_tools::rl::algorithms::td3::ActorCritic", %"struct.rl_tools::rl::components::off_policy_runner::SequentialBatch", %"struct.rl_tools::rl::algorithms::td3::CriticTrainingBuffers", [2 x %"struct.rl_tools::nn_models::sequential::ModuleBuffer"], %"struct.rl_tools::rl::components::off_policy_runner::SequentialBatch", %"struct.rl_tools::rl::algorithms::td3::ActorTrainingBuffers", [2 x %"struct.rl_tools::nn_models::sequential::ModuleBuffer.114"], %"struct.rl_tools::nn_models::sequential::ModuleBuffer.114", i64 }
%"struct.rl_tools::nn::optimizers::Adam" = type { %"struct.rl_tools::nn::optimizers::adam::Parameters", float, float, i64 }
%"struct.rl_tools::nn::optimizers::adam::Parameters" = type { float, float, float, float, float, float, float, float, float }
%"struct.rl_tools::rl::components::OffPolicyRunner" = type { %"struct.rl_tools::rl::components::off_policy_runner::ParametersRuntime", %"struct.rl_tools::rl::components::off_policy_runner::Buffers", i64, i8, %"struct.rl_tools::Matrix.3", [8 x i8], %"struct.rl_tools::Matrix.5", %"struct.rl_tools::Matrix.7", %"struct.rl_tools::Matrix.9", %"struct.rl_tools::Matrix.11", %"struct.rl_tools::Matrix.1", %"struct.rl_tools::Matrix.13", %"struct.rl_tools::Matrix.15" }
%"struct.rl_tools::rl::components::off_policy_runner::ParametersRuntime" = type { float }
%"struct.rl_tools::rl::components::off_policy_runner::Buffers" = type { %"struct.rl_tools::Matrix", %"struct.rl_tools::Matrix.0", %"struct.rl_tools::Matrix.1", %"struct.rl_tools::Matrix", %"struct.rl_tools::Matrix.0" }
%"struct.rl_tools::Matrix" = type { %"struct.rl_tools::matrix::MatrixDynamic" }
%"struct.rl_tools::matrix::MatrixDynamic" = type { ptr }
%"struct.rl_tools::Matrix.0" = type { %"struct.rl_tools::matrix::MatrixDynamic" }
%"struct.rl_tools::Matrix.3" = type { %"struct.rl_tools::matrix::MatrixDynamic.4" }
%"struct.rl_tools::matrix::MatrixDynamic.4" = type { ptr }
%"struct.rl_tools::Matrix.5" = type { %"struct.rl_tools::matrix::MatrixDynamic.6" }
%"struct.rl_tools::matrix::MatrixDynamic.6" = type { ptr }
%"struct.rl_tools::Matrix.7" = type { %"struct.rl_tools::matrix::MatrixDynamic.8" }
%"struct.rl_tools::matrix::MatrixDynamic.8" = type { ptr }
%"struct.rl_tools::Matrix.9" = type { %"struct.rl_tools::matrix::MatrixDynamic.10" }
%"struct.rl_tools::matrix::MatrixDynamic.10" = type { ptr }
%"struct.rl_tools::Matrix.11" = type { %"struct.rl_tools::matrix::MatrixDynamic.12" }
%"struct.rl_tools::matrix::MatrixDynamic.12" = type { ptr }
%"struct.rl_tools::Matrix.1" = type { %"struct.rl_tools::matrix::MatrixDynamic.2" }
%"struct.rl_tools::matrix::MatrixDynamic.2" = type { ptr }
%"struct.rl_tools::Matrix.13" = type { %"struct.rl_tools::matrix::MatrixDynamic.14" }
%"struct.rl_tools::matrix::MatrixDynamic.14" = type { ptr }
%"struct.rl_tools::Matrix.15" = type { %"struct.rl_tools::matrix::MatrixDynamic.16" }
%"struct.rl_tools::matrix::MatrixDynamic.16" = type { ptr }
%"struct.rl_tools::rl::environments::Pendulum" = type { i8 }
%"struct.rl_tools::rl::environments::pendulum::DefaultParameters" = type { i8 }
%"struct.rl_tools::rl::algorithms::td3::ActorCritic" = type { float, float, float, %"struct.rl_tools::nn_models::sequential::Build", %"struct.rl_tools::nn_models::sequential::Build.51", %"struct.rl_tools::nn_models::sequential::Build.66", %"struct.rl_tools::nn_models::sequential::Build.66", %"struct.rl_tools::nn_models::sequential::Build.90", %"struct.rl_tools::nn_models::sequential::Build.90", %"struct.rl_tools::nn::optimizers::Adam", [2 x %"struct.rl_tools::nn::optimizers::Adam"] }
%"struct.rl_tools::nn_models::sequential::Build" = type { %"struct.rl_tools::nn_models::sequential::ModuleGradient" }
%"struct.rl_tools::nn_models::sequential::ModuleGradient" = type { %"struct.rl_tools::nn_models::sequential::ModuleBackward" }
%"struct.rl_tools::nn_models::sequential::ModuleBackward" = type { %"struct.rl_tools::nn_models::sequential::ModuleForward" }
%"struct.rl_tools::nn_models::sequential::ModuleForward" = type { %"struct.rl_tools::nn_models::mlp::NeuralNetworkGradient", %"struct.rl_tools::nn_models::sequential::ModuleGradient.48" }
%"struct.rl_tools::nn_models::mlp::NeuralNetworkGradient" = type { %"struct.rl_tools::nn_models::mlp::NeuralNetworkBackward" }
%"struct.rl_tools::nn_models::mlp::NeuralNetworkBackward" = type { %"struct.rl_tools::nn_models::mlp::NeuralNetworkForward" }
%"struct.rl_tools::nn_models::mlp::NeuralNetworkForward" = type { %"struct.rl_tools::nn::layers::dense::LayerGradient", [1 x %"struct.rl_tools::nn::layers::dense::LayerGradient.26"], %"struct.rl_tools::nn::layers::dense::LayerGradient.37" }
%"struct.rl_tools::nn::layers::dense::LayerGradient" = type { %"struct.rl_tools::nn::layers::dense::LayerBackward", %"struct.rl_tools::Matrix.24" }
%"struct.rl_tools::nn::layers::dense::LayerBackward" = type { %"struct.rl_tools::nn::layers::dense::LayerForward", %"struct.rl_tools::Matrix.24" }
%"struct.rl_tools::nn::layers::dense::LayerForward" = type { %"struct.rl_tools::nn::parameters::Adam::instance", %"struct.rl_tools::nn::parameters::Adam::instance.19" }
%"struct.rl_tools::nn::parameters::Adam::instance" = type { %"struct.rl_tools::nn::parameters::Gradient::instance", %"struct.rl_tools::Matrix.17", %"struct.rl_tools::Matrix.17" }
%"struct.rl_tools::nn::parameters::Gradient::instance" = type { %"struct.rl_tools::nn::parameters::Plain::instance", %"struct.rl_tools::Matrix.17" }
%"struct.rl_tools::nn::parameters::Plain::instance" = type { %"struct.rl_tools::Matrix.17" }
%"struct.rl_tools::Matrix.17" = type { %"struct.rl_tools::matrix::MatrixDynamic.18" }
%"struct.rl_tools::matrix::MatrixDynamic.18" = type { ptr }
%"struct.rl_tools::nn::parameters::Adam::instance.19" = type { %"struct.rl_tools::nn::parameters::Gradient::instance.20", %"struct.rl_tools::Matrix.22", %"struct.rl_tools::Matrix.22" }
%"struct.rl_tools::nn::parameters::Gradient::instance.20" = type { %"struct.rl_tools::nn::parameters::Plain::instance.21", %"struct.rl_tools::Matrix.22" }
%"struct.rl_tools::nn::parameters::Plain::instance.21" = type { %"struct.rl_tools::Matrix.22" }
%"struct.rl_tools::Matrix.22" = type { %"struct.rl_tools::matrix::MatrixDynamic.23" }
%"struct.rl_tools::matrix::MatrixDynamic.23" = type { ptr }
%"struct.rl_tools::Matrix.24" = type { %"struct.rl_tools::matrix::MatrixDynamic.25" }
%"struct.rl_tools::matrix::MatrixDynamic.25" = type { ptr }
%"struct.rl_tools::nn::layers::dense::LayerGradient.26" = type { %"struct.rl_tools::nn::layers::dense::LayerBackward.27", %"struct.rl_tools::Matrix.24" }
%"struct.rl_tools::nn::layers::dense::LayerBackward.27" = type { %"struct.rl_tools::nn::layers::dense::LayerForward.28", %"struct.rl_tools::Matrix.24" }
%"struct.rl_tools::nn::layers::dense::LayerForward.28" = type { %"struct.rl_tools::nn::parameters::Adam::instance.29", %"struct.rl_tools::nn::parameters::Adam::instance.34" }
%"struct.rl_tools::nn::parameters::Adam::instance.29" = type { %"struct.rl_tools::nn::parameters::Gradient::instance.30", %"struct.rl_tools::Matrix.32", %"struct.rl_tools::Matrix.32" }
%"struct.rl_tools::nn::parameters::Gradient::instance.30" = type { %"struct.rl_tools::nn::parameters::Plain::instance.31", %"struct.rl_tools::Matrix.32" }
%"struct.rl_tools::nn::parameters::Plain::instance.31" = type { %"struct.rl_tools::Matrix.32" }
%"struct.rl_tools::Matrix.32" = type { %"struct.rl_tools::matrix::MatrixDynamic.33" }
%"struct.rl_tools::matrix::MatrixDynamic.33" = type { ptr }
%"struct.rl_tools::nn::parameters::Adam::instance.34" = type { %"struct.rl_tools::nn::parameters::Gradient::instance.35", %"struct.rl_tools::Matrix.22", %"struct.rl_tools::Matrix.22" }
%"struct.rl_tools::nn::parameters::Gradient::instance.35" = type { %"struct.rl_tools::nn::parameters::Plain::instance.36", %"struct.rl_tools::Matrix.22" }
%"struct.rl_tools::nn::parameters::Plain::instance.36" = type { %"struct.rl_tools::Matrix.22" }
%"struct.rl_tools::nn::layers::dense::LayerGradient.37" = type { %"struct.rl_tools::nn::layers::dense::LayerBackward.38", %"struct.rl_tools::Matrix.46" }
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%"struct.rl_tools::nn::layers::dense::LayerForward.39" = type { %"struct.rl_tools::nn::parameters::Adam::instance.40", %"struct.rl_tools::nn::parameters::Adam::instance.43" }
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%"struct.rl_tools::nn::parameters::Gradient::instance.41" = type { %"struct.rl_tools::nn::parameters::Plain::instance.42", %"struct.rl_tools::Matrix.22" }
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%"struct.rl_tools::nn::parameters::Adam::instance.43" = type { %"struct.rl_tools::nn::parameters::Gradient::instance.44", %"struct.rl_tools::Matrix.1", %"struct.rl_tools::Matrix.1" }
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%"struct.rl_tools::matrix::MatrixDynamic.47" = type { ptr }
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%"struct.rl_tools::nn_models::sequential::ModuleBackward.base" = type { %"struct.rl_tools::nn_models::sequential::ModuleForward.base" }
%"struct.rl_tools::nn_models::sequential::ModuleForward.base" = type <{ %"struct.rl_tools::nn::layers::td3_sampling::LayerGradient", i8 }>
%"struct.rl_tools::nn::layers::td3_sampling::LayerGradient" = type { %"struct.rl_tools::nn::layers::td3_sampling::LayerBackward", %"struct.rl_tools::Matrix.46" }
%"struct.rl_tools::nn::layers::td3_sampling::LayerBackward" = type { %"struct.rl_tools::nn::layers::td3_sampling::LayerForward", %"struct.rl_tools::Matrix.46" }
%"struct.rl_tools::nn::layers::td3_sampling::LayerForward" = type { float }
%"struct.rl_tools::nn_models::sequential::Build.51" = type { %"struct.rl_tools::nn_models::sequential::ModuleForward.52" }
%"struct.rl_tools::nn_models::sequential::ModuleForward.52" = type { %"struct.rl_tools::nn_models::mlp::NeuralNetworkForward.53", %"struct.rl_tools::nn_models::sequential::ModuleForward.63" }
%"struct.rl_tools::nn_models::mlp::NeuralNetworkForward.53" = type { %"struct.rl_tools::nn::layers::dense::LayerForward.54", [1 x %"struct.rl_tools::nn::layers::dense::LayerForward.57"], %"struct.rl_tools::nn::layers::dense::LayerForward.60" }
%"struct.rl_tools::nn::layers::dense::LayerForward.54" = type { %"struct.rl_tools::nn::parameters::Plain::instance.55", %"struct.rl_tools::nn::parameters::Plain::instance.56" }
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%"struct.rl_tools::nn::layers::dense::LayerForward.57" = type { %"struct.rl_tools::nn::parameters::Plain::instance.58", %"struct.rl_tools::nn::parameters::Plain::instance.59" }
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%"struct.rl_tools::nn::layers::dense::LayerForward.60" = type { %"struct.rl_tools::nn::parameters::Plain::instance.61", %"struct.rl_tools::nn::parameters::Plain::instance.62" }
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%"struct.rl_tools::nn_models::sequential::ModuleForward.63" = type <{ %"struct.rl_tools::nn::layers::td3_sampling::LayerForward.64", [4 x i8] }>
%"struct.rl_tools::nn::layers::td3_sampling::LayerForward.64" = type { float }
%"struct.rl_tools::nn_models::sequential::Build.66" = type { %"struct.rl_tools::nn_models::sequential::ModuleGradient.base.89", [7 x i8] }
%"struct.rl_tools::nn_models::sequential::ModuleGradient.base.89" = type { %"struct.rl_tools::nn_models::sequential::ModuleBackward.base.88" }
%"struct.rl_tools::nn_models::sequential::ModuleBackward.base.88" = type { %"struct.rl_tools::nn_models::sequential::ModuleForward.base.87" }
%"struct.rl_tools::nn_models::sequential::ModuleForward.base.87" = type <{ %"struct.rl_tools::nn_models::mlp::NeuralNetworkGradient.70", i8 }>
%"struct.rl_tools::nn_models::mlp::NeuralNetworkGradient.70" = type { %"struct.rl_tools::nn_models::mlp::NeuralNetworkBackward.71" }
%"struct.rl_tools::nn_models::mlp::NeuralNetworkBackward.71" = type { %"struct.rl_tools::nn_models::mlp::NeuralNetworkForward.72" }
%"struct.rl_tools::nn_models::mlp::NeuralNetworkForward.72" = type { %"struct.rl_tools::nn::layers::dense::LayerGradient.73", [1 x %"struct.rl_tools::nn::layers::dense::LayerGradient.81"], %"struct.rl_tools::nn::layers::dense::LayerGradient.84" }
%"struct.rl_tools::nn::layers::dense::LayerGradient.73" = type { %"struct.rl_tools::nn::layers::dense::LayerBackward.74", %"struct.rl_tools::Matrix.24" }
%"struct.rl_tools::nn::layers::dense::LayerBackward.74" = type { %"struct.rl_tools::nn::layers::dense::LayerForward.75", %"struct.rl_tools::Matrix.24" }
%"struct.rl_tools::nn::layers::dense::LayerForward.75" = type { %"struct.rl_tools::nn::parameters::Adam::instance.76", %"struct.rl_tools::nn::parameters::Adam::instance.19" }
%"struct.rl_tools::nn::parameters::Adam::instance.76" = type { %"struct.rl_tools::nn::parameters::Gradient::instance.77", %"struct.rl_tools::Matrix.79", %"struct.rl_tools::Matrix.79" }
%"struct.rl_tools::nn::parameters::Gradient::instance.77" = type { %"struct.rl_tools::nn::parameters::Plain::instance.78", %"struct.rl_tools::Matrix.79" }
%"struct.rl_tools::nn::parameters::Plain::instance.78" = type { %"struct.rl_tools::Matrix.79" }
%"struct.rl_tools::Matrix.79" = type { %"struct.rl_tools::matrix::MatrixDynamic.80" }
%"struct.rl_tools::matrix::MatrixDynamic.80" = type { ptr }
%"struct.rl_tools::nn::layers::dense::LayerGradient.81" = type { %"struct.rl_tools::nn::layers::dense::LayerBackward.82", %"struct.rl_tools::Matrix.24" }
%"struct.rl_tools::nn::layers::dense::LayerBackward.82" = type { %"struct.rl_tools::nn::layers::dense::LayerForward.83", %"struct.rl_tools::Matrix.24" }
%"struct.rl_tools::nn::layers::dense::LayerForward.83" = type { %"struct.rl_tools::nn::parameters::Adam::instance.29", %"struct.rl_tools::nn::parameters::Adam::instance.34" }
%"struct.rl_tools::nn::layers::dense::LayerGradient.84" = type { %"struct.rl_tools::nn::layers::dense::LayerBackward.85", %"struct.rl_tools::Matrix.46" }
%"struct.rl_tools::nn::layers::dense::LayerBackward.85" = type { %"struct.rl_tools::nn::layers::dense::LayerForward.86", %"struct.rl_tools::Matrix.46" }
%"struct.rl_tools::nn::layers::dense::LayerForward.86" = type { %"struct.rl_tools::nn::parameters::Adam::instance.40", %"struct.rl_tools::nn::parameters::Adam::instance.43" }
%"struct.rl_tools::nn_models::sequential::Build.90" = type { %"struct.rl_tools::nn_models::sequential::ModuleForward.base.97", [7 x i8] }
%"struct.rl_tools::nn_models::sequential::ModuleForward.base.97" = type <{ %"struct.rl_tools::nn_models::mlp::NeuralNetworkForward.92", i8 }>
%"struct.rl_tools::nn_models::mlp::NeuralNetworkForward.92" = type { %"struct.rl_tools::nn::layers::dense::LayerForward.93", [1 x %"struct.rl_tools::nn::layers::dense::LayerForward.95"], %"struct.rl_tools::nn::layers::dense::LayerForward.96" }
%"struct.rl_tools::nn::layers::dense::LayerForward.93" = type { %"struct.rl_tools::nn::parameters::Plain::instance.94", %"struct.rl_tools::nn::parameters::Plain::instance.56" }
%"struct.rl_tools::nn::parameters::Plain::instance.94" = type { %"struct.rl_tools::Matrix.79" }
%"struct.rl_tools::nn::layers::dense::LayerForward.95" = type { %"struct.rl_tools::nn::parameters::Plain::instance.58", %"struct.rl_tools::nn::parameters::Plain::instance.59" }
%"struct.rl_tools::nn::layers::dense::LayerForward.96" = type { %"struct.rl_tools::nn::parameters::Plain::instance.61", %"struct.rl_tools::nn::parameters::Plain::instance.62" }
%"struct.rl_tools::rl::algorithms::td3::CriticTrainingBuffers" = type { %"struct.rl_tools::Tensor.102", %"struct.rl_tools::Tensor.106", %"struct.rl_tools::Tensor.108", %"struct.rl_tools::Tensor.109", %"struct.rl_tools::Tensor.102", %"struct.rl_tools::Tensor.102", %"struct.rl_tools::Tensor.102", %"struct.rl_tools::Tensor.102", %"struct.rl_tools::Tensor.106", %"struct.rl_tools::Tensor.102" }
%"struct.rl_tools::Tensor.108" = type { %"struct.rl_tools::tensor::TensorDynamic.107" }
%"struct.rl_tools::tensor::TensorDynamic.107" = type { ptr }
%"struct.rl_tools::Tensor.109" = type { %"struct.rl_tools::tensor::TensorDynamic.107" }
%"struct.rl_tools::Tensor.106" = type { %"struct.rl_tools::tensor::TensorDynamic.107" }
%"struct.rl_tools::Tensor.102" = type { %"struct.rl_tools::tensor::TensorDynamic.103" }
%"struct.rl_tools::tensor::TensorDynamic.103" = type { ptr }
%"struct.rl_tools::nn_models::sequential::ModuleBuffer" = type { %"struct.rl_tools::Tensor.110", %"struct.rl_tools::Tensor.110", %"struct.rl_tools::nn_models::sequential::ContentBuffer" }
%"struct.rl_tools::Tensor.110" = type { %"struct.rl_tools::tensor::TensorDynamic.111" }
%"struct.rl_tools::tensor::TensorDynamic.111" = type { ptr }
%"struct.rl_tools::nn_models::sequential::ContentBuffer" = type { %"struct.rl_tools::nn_models::mlp::NeuralNetworkBuffers", [8 x i8] }
%"struct.rl_tools::nn_models::mlp::NeuralNetworkBuffers" = type <{ %"struct.rl_tools::Matrix.24", %"struct.rl_tools::Matrix.24", [8 x i8] }>
%"struct.rl_tools::rl::components::off_policy_runner::SequentialBatch" = type { %"struct.rl_tools::Tensor", %"struct.rl_tools::Tensor.99", %"struct.rl_tools::Tensor.99", %"struct.rl_tools::Tensor.100", %"struct.rl_tools::Tensor.101", %"struct.rl_tools::Tensor.99", %"struct.rl_tools::Tensor.100", %"struct.rl_tools::Tensor.101", %"struct.rl_tools::Tensor.99", %"struct.rl_tools::Tensor.102", %"struct.rl_tools::Tensor.104", %"struct.rl_tools::Tensor.104", %"struct.rl_tools::Tensor.104", %"struct.rl_tools::Tensor.104" }
%"struct.rl_tools::Tensor" = type { %"struct.rl_tools::tensor::TensorDynamic" }
%"struct.rl_tools::tensor::TensorDynamic" = type { ptr }
%"struct.rl_tools::Tensor.100" = type { %"struct.rl_tools::tensor::TensorDynamic" }
%"struct.rl_tools::Tensor.101" = type { %"struct.rl_tools::tensor::TensorDynamic" }
%"struct.rl_tools::Tensor.99" = type { %"struct.rl_tools::tensor::TensorDynamic" }
%"struct.rl_tools::Tensor.104" = type { %"struct.rl_tools::tensor::TensorDynamic.105" }
%"struct.rl_tools::tensor::TensorDynamic.105" = type { ptr }
%"struct.rl_tools::rl::algorithms::td3::ActorTrainingBuffers" = type { %"struct.rl_tools::Tensor.106", %"struct.rl_tools::Tensor.108", %"struct.rl_tools::Tensor.109", %"struct.rl_tools::Tensor.102", %"struct.rl_tools::Tensor.102", %"struct.rl_tools::Tensor.106", %"struct.rl_tools::Tensor.102", %"struct.rl_tools::Tensor.112" }
%"struct.rl_tools::Tensor.112" = type { %"struct.rl_tools::tensor::TensorDynamic.113" }
%"struct.rl_tools::tensor::TensorDynamic.113" = type { ptr }
%"struct.rl_tools::nn_models::sequential::ModuleBuffer.114" = type { %"struct.rl_tools::Tensor.115", %"struct.rl_tools::Tensor.115", %"struct.rl_tools::nn_models::sequential::ContentBuffer.116" }
%"struct.rl_tools::Tensor.115" = type { %"struct.rl_tools::tensor::TensorDynamic.103" }
%"struct.rl_tools::nn_models::sequential::ContentBuffer.116" = type { %"struct.rl_tools::nn_models::mlp::NeuralNetworkBuffers.117", %"struct.rl_tools::nn_models::sequential::ContentBuffer.119" }
%"struct.rl_tools::nn_models::mlp::NeuralNetworkBuffers.117" = type <{ %"struct.rl_tools::Matrix.24", %"struct.rl_tools::Matrix.24", [8 x i8] }>
%"struct.rl_tools::nn_models::sequential::ContentBuffer.119" = type <{ %"struct.rl_tools::nn::layers::td3_sampling::Buffer", [8 x i8] }>
%"struct.rl_tools::nn::layers::td3_sampling::Buffer" = type { %"struct.rl_tools::Matrix.46" }
%"struct.rl_tools::Matrix.121" = type { %"struct.rl_tools::matrix::MatrixDynamic.122" }
%"struct.rl_tools::matrix::MatrixDynamic.122" = type { ptr }
%"class.std::mersenne_twister_engine" = type { [624 x i64], i64 }
%"struct.rl_tools::nn_models::sequential::ModuleBuffer.123" = type { %"struct.rl_tools::Tensor.124", %"struct.rl_tools::Tensor.124", %"struct.rl_tools::nn_models::sequential::ContentBuffer.126" }
%"struct.rl_tools::Tensor.124" = type { %"struct.rl_tools::tensor::TensorDynamic.125" }
%"struct.rl_tools::tensor::TensorDynamic.125" = type { ptr }
%"struct.rl_tools::nn_models::sequential::ContentBuffer.126" = type { %"struct.rl_tools::nn_models::mlp::NeuralNetworkBuffers.127", %"struct.rl_tools::nn_models::sequential::ContentBuffer.131" }
%"struct.rl_tools::nn_models::mlp::NeuralNetworkBuffers.127" = type <{ %"struct.rl_tools::Matrix.128", %"struct.rl_tools::Matrix.128", [8 x i8] }>
%"struct.rl_tools::Matrix.128" = type { %"struct.rl_tools::matrix::MatrixDynamic.129" }
%"struct.rl_tools::matrix::MatrixDynamic.129" = type { ptr }
%"struct.rl_tools::nn_models::sequential::ContentBuffer.131" = type <{ %"struct.rl_tools::nn::layers::td3_sampling::Buffer.132", [8 x i8] }>
%"struct.rl_tools::nn::layers::td3_sampling::Buffer.132" = type { %"struct.rl_tools::Matrix.133" }
%"struct.rl_tools::Matrix.133" = type { %"struct.rl_tools::matrix::MatrixDynamic.134" }
%"struct.rl_tools::matrix::MatrixDynamic.134" = type { ptr }
%"class.std::chrono::time_point" = type { %"class.std::chrono::duration" }
%"class.std::chrono::duration" = type { i64 }

@_ZSt4cerr = external global %"class.std::basic_ostream", align 8
@.str.1 = external hidden unnamed_addr constant [7 x i8], align 1
@_ZSt4cout = external global %"class.std::basic_ostream", align 8
@.str.2 = external hidden unnamed_addr constant [41 x i8], align 1

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

declare i32 @__gxx_personality_v0(...)

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

; Function Attrs: mustprogress norecurse uwtable
define dso_local noundef i32 @main(i32 noundef %0, ptr nocapture noundef readonly %1) local_unnamed_addr #1 personality ptr @__gxx_personality_v0 {
  %3 = alloca %"struct.rl_tools::devices::CPU", align 8
  %4 = alloca %"struct.rl_tools::rl::loop::steps::timing::State", align 8
  call void @llvm.lifetime.start.p0(i64 112, ptr nonnull %3) #7
  call void @_ZN8rl_tools7devices3CPUINS0_3cpu13SpecificationINS0_4math3CPUENS0_6random3CPUENS0_7logging3CPUEEEEC2Ev(ptr noundef nonnull align 8 dereferenceable(105) %3) #7
  %5 = icmp sgt i32 %0, 1
  br i1 %5, label %6, label %11

6:                                                ; preds = %2
  %7 = getelementptr inbounds i8, ptr %1, i64 8
  %8 = load ptr, ptr %7, align 8, !tbaa !5
  %9 = call i32 @atoi(ptr nocapture noundef %8) #8
  %10 = sext i32 %9 to i64
  br label %11

11:                                               ; preds = %6, %2
  %.07 = phi i64 [ %10, %6 ], [ 0, %2 ]
  %12 = invoke noundef nonnull align 8 dereferenceable(8) ptr @_ZStlsISt11char_traitsIcEERSt13basic_ostreamIcT_ES5_PKc(ptr noundef nonnull align 8 dereferenceable(8) @_ZSt4cerr, ptr noundef nonnull @.str.1)
          to label %13 unwind label %35

13:                                               ; preds = %11
  %14 = invoke noundef nonnull align 8 dereferenceable(8) ptr @_ZNSolsEm(ptr noundef nonnull align 8 dereferenceable(8) %12, i64 noundef %.07)
          to label %15 unwind label %35

15:                                               ; preds = %13
  %16 = invoke noundef nonnull align 8 dereferenceable(8) ptr @_ZNSolsEPFRSoS_E(ptr noundef nonnull align 8 dereferenceable(8) %14, ptr noundef nonnull @_ZSt4endlIcSt11char_traitsIcEERSt13basic_ostreamIT_T0_ES6_)
          to label %17 unwind label %35

17:                                               ; preds = %15
  call void @_ZN8rl_tools6mallocINS_7devices3cpu13SpecificationINS1_4math3CPUENS1_6random3CPUENS1_7logging3CPUEEEEEvRNS1_6DeviceIT_EE(ptr noundef nonnull align 1 dereferenceable(1) %3)
  invoke void @_ZN8rl_tools4initINS_7devices3cpu13SpecificationINS1_4math3CPUENS1_6random3CPUENS1_7logging3CPUEEEEEvRNS1_3CPUIT_EE(ptr noundef nonnull align 8 dereferenceable(105) %3)
          to label %18 unwind label %35

18:                                               ; preds = %17
  call void @llvm.lifetime.start.p0(i64 12176, ptr nonnull %4) #7
  invoke void @_ZN8rl_tools2rl4loop5steps6timing5StateINS3_6ConfigINS2_10evaluation6ConfigINS0_10algorithms3td34loop4core6ConfigIfmSt23mersenne_twister_engineImLm32ELm624ELm397ELm31ELm2567483615ELm11ELm4294967295ELm7ELm2636928640ELm15ELm4022730752ELm18ELm1812433253EENS0_12environments8PendulumINSF_8pendulum13SpecificationIfmNSH_17DefaultParametersIfEEEEEE20LOOP_CORE_PARAMETERSNSB_22ConfigApproximatorsMLPELb1EEENS6_10ParametersIfmSP_EENSF_7DummyUIEEENS3_10ParametersImLm1EEEEENS6_5StateIST_NSB_5StateISP_EEEEEC2Ev(ptr noundef nonnull align 8 dereferenceable(12176) %4)
          to label %19 unwind label %.loopexit.split-lp

19:                                               ; preds = %18
  invoke void @_ZN8rl_tools6mallocINS_7devices3CPUINS1_3cpu13SpecificationINS1_4math3CPUENS1_6random3CPUENS1_7logging3CPUEEEEENS_2rl4loop5steps10evaluation6ConfigINSD_10algorithms3td34loop4core6ConfigIfmSt23mersenne_twister_engineImLm32ELm624ELm397ELm31ELm2567483615ELm11ELm4294967295ELm7ELm2636928640ELm15ELm4022730752ELm18ELm1812433253EENSD_12environments8PendulumINSP_8pendulum13SpecificationIfmNSR_17DefaultParametersIfEEEEEE20LOOP_CORE_PARAMETERSNSL_22ConfigApproximatorsMLPELb1EEENSG_10ParametersIfmSZ_EENSP_7DummyUIEEEEEvRT_RNSG_5StateIT0_NS17_4NEXT5StateINS17_4NEXTEEEEE(ptr noundef nonnull align 8 dereferenceable(105) %3, ptr noundef nonnull align 8 dereferenceable(12147) %4)
          to label %20 unwind label %.loopexit.split-lp

20:                                               ; preds = %19
  invoke void @_ZN8rl_tools4initINS_7devices3CPUINS1_3cpu13SpecificationINS1_4math3CPUENS1_6random3CPUENS1_7logging3CPUEEEEENS_2rl4loop5steps6timing6ConfigINSF_10evaluation6ConfigINSD_10algorithms3td34loop4core6ConfigIfmSt23mersenne_twister_engineImLm32ELm624ELm397ELm31ELm2567483615ELm11ELm4294967295ELm7ELm2636928640ELm15ELm4022730752ELm18ELm1812433253EENSD_12environments8PendulumINSR_8pendulum13SpecificationIfmNST_17DefaultParametersIfEEEEEE20LOOP_CORE_PARAMETERSNSN_22ConfigApproximatorsMLPELb1EEENSI_10ParametersIfmS11_EENSR_7DummyUIEEENSG_10ParametersImLm1EEEEEEEvRT_RNSG_5StateIT0_NS1C_4NEXT5StateINS1C_4NEXTEEEEENS1C_2TIE(ptr noundef nonnull align 8 dereferenceable(105) %3, ptr noundef nonnull align 8 dereferenceable(12176) %4, i64 noundef %.07)
          to label %.preheader unwind label %.loopexit.split-lp

.preheader:                                       ; preds = %20
  %21 = getelementptr inbounds i8, ptr %4, i64 7064
  br label %22

22:                                               ; preds = %.backedge, %.preheader
  %23 = invoke noundef zeroext i1 @_ZN8rl_tools4stepINS_7devices3CPUINS1_3cpu13SpecificationINS1_4math3CPUENS1_6random3CPUENS1_7logging3CPUEEEEENS_2rl4loop5steps6timing6ConfigINSF_10evaluation6ConfigINSD_10algorithms3td34loop4core6ConfigIfmSt23mersenne_twister_engineImLm32ELm624ELm397ELm31ELm2567483615ELm11ELm4294967295ELm7ELm2636928640ELm15ELm4022730752ELm18ELm1812433253EENSD_12environments8PendulumINSR_8pendulum13SpecificationIfmNST_17DefaultParametersIfEEEEEE20LOOP_CORE_PARAMETERSNSN_22ConfigApproximatorsMLPELb1EEENSI_10ParametersIfmS11_EENSR_7DummyUIEEENSG_10ParametersImLm1EEEEEEEbRT_RNSG_5StateIT0_NS1C_4NEXT5StateINS1C_4NEXTEEEEE(ptr noundef nonnull align 8 dereferenceable(105) %3, ptr noundef nonnull align 8 dereferenceable(12176) %4)
          to label %24 unwind label %.loopexit

24:                                               ; preds = %22
  br i1 %23, label %38, label %25

25:                                               ; preds = %24
  %26 = load i64, ptr %21, align 8, !tbaa !9
  %27 = icmp eq i64 %26, 5000
  br i1 %27, label %28, label %.backedge

28:                                               ; preds = %25
  %29 = invoke noundef nonnull align 8 dereferenceable(8) ptr @_ZStlsISt11char_traitsIcEERSt13basic_ostreamIcT_ES5_PKc(ptr noundef nonnull align 8 dereferenceable(8) @_ZSt4cout, ptr noundef nonnull @.str.2)
          to label %30 unwind label %.loopexit

30:                                               ; preds = %28
  %31 = load i64, ptr %21, align 8, !tbaa !9
  %32 = invoke noundef nonnull align 8 dereferenceable(8) ptr @_ZNSolsEm(ptr noundef nonnull align 8 dereferenceable(8) %29, i64 noundef %31)
          to label %33 unwind label %.loopexit

33:                                               ; preds = %30
  %34 = invoke noundef nonnull align 8 dereferenceable(8) ptr @_ZNSolsEPFRSoS_E(ptr noundef nonnull align 8 dereferenceable(8) %32, ptr noundef nonnull @_ZSt4endlIcSt11char_traitsIcEERSt13basic_ostreamIT_T0_ES6_)
          to label %.backedge unwind label %.loopexit

.backedge:                                        ; preds = %33, %25
  br label %22, !llvm.loop !148

35:                                               ; preds = %17, %15, %13, %11
  %36 = landingpad { ptr, i32 }
          cleanup
  br label %39

.loopexit:                                        ; preds = %22, %28, %30, %33
  %lpad.loopexit = landingpad { ptr, i32 }
          cleanup
  br label %37

.loopexit.split-lp:                               ; preds = %18, %19, %20
  %lpad.loopexit.split-lp = landingpad { ptr, i32 }
          cleanup
  br label %37

37:                                               ; preds = %.loopexit.split-lp, %.loopexit
  %lpad.phi = phi { ptr, i32 } [ %lpad.loopexit, %.loopexit ], [ %lpad.loopexit.split-lp, %.loopexit.split-lp ]
  call void @llvm.lifetime.end.p0(i64 12176, ptr nonnull %4) #7
  br label %39

38:                                               ; preds = %24
  call void @_ZN8rl_tools4freeINS_7devices3cpu13SpecificationINS1_4math3CPUENS1_6random3CPUENS1_7logging3CPUEEEEEvRNS1_6DeviceIT_EE(ptr noundef nonnull align 1 dereferenceable(1) %3)
  call void @llvm.lifetime.end.p0(i64 12176, ptr nonnull %4) #7
  call void @_ZN8rl_tools7devices3CPUINS0_3cpu13SpecificationINS0_4math3CPUENS0_6random3CPUENS0_7logging3CPUEEEED2Ev(ptr noundef nonnull align 8 dereferenceable(105) %3) #7
  call void @llvm.lifetime.end.p0(i64 112, ptr nonnull %3) #7
  ret i32 0

39:                                               ; preds = %37, %35
  %.pn = phi { ptr, i32 } [ %lpad.phi, %37 ], [ %36, %35 ]
  call void @_ZN8rl_tools7devices3CPUINS0_3cpu13SpecificationINS0_4math3CPUENS0_6random3CPUENS0_7logging3CPUEEEED2Ev(ptr noundef nonnull align 8 dereferenceable(105) %3) #7
  call void @llvm.lifetime.end.p0(i64 112, ptr nonnull %3) #7
  resume { ptr, i32 } %.pn
}

; Function Attrs: inlinehint mustprogress nounwind uwtable
declare dso_local void @_ZN8rl_tools7devices3CPUINS0_3cpu13SpecificationINS0_4math3CPUENS0_6random3CPUENS0_7logging3CPUEEEEC2Ev(ptr noundef nonnull align 8 dereferenceable(105)) unnamed_addr #2 align 2

; Function Attrs: inlinehint mustprogress nofree nounwind willreturn memory(read) uwtable
declare i32 @atoi(ptr nocapture noundef nonnull) local_unnamed_addr #3

; Function Attrs: inlinehint mustprogress uwtable
declare noundef nonnull align 8 dereferenceable(8) ptr @_ZStlsISt11char_traitsIcEERSt13basic_ostreamIcT_ES5_PKc(ptr noundef nonnull align 8 dereferenceable(8), ptr noundef) local_unnamed_addr #4

; Function Attrs: mustprogress uwtable
declare noundef nonnull align 8 dereferenceable(8) ptr @_ZNSolsEm(ptr noundef nonnull align 8 dereferenceable(8), i64 noundef) local_unnamed_addr #5 align 2

; Function Attrs: mustprogress uwtable
declare noundef nonnull align 8 dereferenceable(8) ptr @_ZNSolsEPFRSoS_E(ptr noundef nonnull align 8 dereferenceable(8), ptr noundef) local_unnamed_addr #5 align 2

; Function Attrs: inlinehint mustprogress uwtable
declare noundef nonnull align 8 dereferenceable(8) ptr @_ZSt4endlIcSt11char_traitsIcEERSt13basic_ostreamIT_T0_ES6_(ptr noundef nonnull align 8 dereferenceable(8)) #4

; Function Attrs: mustprogress nounwind uwtable
declare dso_local void @_ZN8rl_tools6mallocINS_7devices3cpu13SpecificationINS1_4math3CPUENS1_6random3CPUENS1_7logging3CPUEEEEEvRNS1_6DeviceIT_EE(ptr noundef nonnull align 1 dereferenceable(1)) local_unnamed_addr #6

; Function Attrs: mustprogress uwtable
declare dso_local void @_ZN8rl_tools4initINS_7devices3cpu13SpecificationINS1_4math3CPUENS1_6random3CPUENS1_7logging3CPUEEEEEvRNS1_3CPUIT_EE(ptr noundef nonnull align 8 dereferenceable(105)) local_unnamed_addr #5

; Function Attrs: inlinehint mustprogress uwtable
declare dso_local void @_ZN8rl_tools2rl4loop5steps6timing5StateINS3_6ConfigINS2_10evaluation6ConfigINS0_10algorithms3td34loop4core6ConfigIfmSt23mersenne_twister_engineImLm32ELm624ELm397ELm31ELm2567483615ELm11ELm4294967295ELm7ELm2636928640ELm15ELm4022730752ELm18ELm1812433253EENS0_12environments8PendulumINSF_8pendulum13SpecificationIfmNSH_17DefaultParametersIfEEEEEE20LOOP_CORE_PARAMETERSNSB_22ConfigApproximatorsMLPELb1EEENS6_10ParametersIfmSP_EENSF_7DummyUIEEENS3_10ParametersImLm1EEEEENS6_5StateIST_NSB_5StateISP_EEEEEC2Ev(ptr noundef nonnull align 8 dereferenceable(12176)) unnamed_addr #4 align 2

; Function Attrs: mustprogress uwtable
declare dso_local void @_ZN8rl_tools6mallocINS_7devices3CPUINS1_3cpu13SpecificationINS1_4math3CPUENS1_6random3CPUENS1_7logging3CPUEEEEENS_2rl4loop5steps10evaluation6ConfigINSD_10algorithms3td34loop4core6ConfigIfmSt23mersenne_twister_engineImLm32ELm624ELm397ELm31ELm2567483615ELm11ELm4294967295ELm7ELm2636928640ELm15ELm4022730752ELm18ELm1812433253EENSD_12environments8PendulumINSP_8pendulum13SpecificationIfmNSR_17DefaultParametersIfEEEEEE20LOOP_CORE_PARAMETERSNSL_22ConfigApproximatorsMLPELb1EEENSG_10ParametersIfmSZ_EENSP_7DummyUIEEEEEvRT_RNSG_5StateIT0_NS17_4NEXT5StateINS17_4NEXTEEEEE(ptr noundef nonnull align 8 dereferenceable(105), ptr noundef nonnull align 8 dereferenceable(12147)) local_unnamed_addr #5

; Function Attrs: mustprogress uwtable
declare dso_local void @_ZN8rl_tools4initINS_7devices3CPUINS1_3cpu13SpecificationINS1_4math3CPUENS1_6random3CPUENS1_7logging3CPUEEEEENS_2rl4loop5steps6timing6ConfigINSF_10evaluation6ConfigINSD_10algorithms3td34loop4core6ConfigIfmSt23mersenne_twister_engineImLm32ELm624ELm397ELm31ELm2567483615ELm11ELm4294967295ELm7ELm2636928640ELm15ELm4022730752ELm18ELm1812433253EENSD_12environments8PendulumINSR_8pendulum13SpecificationIfmNST_17DefaultParametersIfEEEEEE20LOOP_CORE_PARAMETERSNSN_22ConfigApproximatorsMLPELb1EEENSI_10ParametersIfmS11_EENSR_7DummyUIEEENSG_10ParametersImLm1EEEEEEEvRT_RNSG_5StateIT0_NS1C_4NEXT5StateINS1C_4NEXTEEEEENS1C_2TIE(ptr noundef nonnull align 8 dereferenceable(105), ptr noundef nonnull align 8 dereferenceable(12176), i64 noundef) local_unnamed_addr #5

; Function Attrs: mustprogress uwtable
declare dso_local noundef zeroext i1 @_ZN8rl_tools4stepINS_7devices3CPUINS1_3cpu13SpecificationINS1_4math3CPUENS1_6random3CPUENS1_7logging3CPUEEEEENS_2rl4loop5steps6timing6ConfigINSF_10evaluation6ConfigINSD_10algorithms3td34loop4core6ConfigIfmSt23mersenne_twister_engineImLm32ELm624ELm397ELm31ELm2567483615ELm11ELm4294967295ELm7ELm2636928640ELm15ELm4022730752ELm18ELm1812433253EENSD_12environments8PendulumINSR_8pendulum13SpecificationIfmNST_17DefaultParametersIfEEEEEE20LOOP_CORE_PARAMETERSNSN_22ConfigApproximatorsMLPELb1EEENSI_10ParametersIfmS11_EENSR_7DummyUIEEENSG_10ParametersImLm1EEEEEEEbRT_RNSG_5StateIT0_NS1C_4NEXT5StateINS1C_4NEXTEEEEE(ptr noundef nonnull align 8 dereferenceable(105), ptr noundef nonnull align 8 dereferenceable(12176)) local_unnamed_addr #5

; Function Attrs: mustprogress nounwind uwtable
declare dso_local void @_ZN8rl_tools4freeINS_7devices3cpu13SpecificationINS1_4math3CPUENS1_6random3CPUENS1_7logging3CPUEEEEEvRNS1_6DeviceIT_EE(ptr noundef nonnull align 1 dereferenceable(1)) local_unnamed_addr #6

; Function Attrs: inlinehint mustprogress nounwind uwtable
declare dso_local void @_ZN8rl_tools7devices3CPUINS0_3cpu13SpecificationINS0_4math3CPUENS0_6random3CPUENS0_7logging3CPUEEEED2Ev(ptr noundef nonnull align 8 dereferenceable(105)) unnamed_addr #2 align 2

attributes #0 = { mustprogress nocallback nofree nosync nounwind willreturn memory(argmem: readwrite) }
attributes #1 = { mustprogress norecurse 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 = { inlinehint 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 #3 = { inlinehint mustprogress nofree nounwind willreturn memory(read) 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 #4 = { inlinehint 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 #5 = { 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 #6 = { 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 #7 = { nounwind }
attributes #8 = { nounwind willreturn memory(read) }

!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, !14, i64 7064}
!10 = !{!"_ZTSN8rl_tools2rl10algorithms3td34loop4core5StateINS4_6ConfigIfmSt23mersenne_twister_engineImLm32ELm624ELm397ELm31ELm2567483615ELm11ELm4294967295ELm7ELm2636928640ELm15ELm4022730752ELm18ELm1812433253EENS0_12environments8PendulumINS9_8pendulum13SpecificationIfmNSB_17DefaultParametersIfEEEEEE20LOOP_CORE_PARAMETERSNS4_22ConfigApproximatorsMLPELb1EEEEE", !11, i64 0, !7, i64 56, !15, i64 168, !16, i64 5168, !7, i64 5304, !7, i64 5305, !48, i64 5312, !123, i64 6432, !133, i64 6544, !7, i64 6624, !123, i64 6720, !138, i64 6832, !7, i64 6896, !141, i64 7008, !14, i64 7064}
!11 = !{!"_ZTSN8rl_tools2nn10optimizers4AdamINS1_4adam13SpecificationIfmNS3_29DEFAULT_PARAMETERS_TENSORFLOWIfEEEEEE", !12, i64 0, !13, i64 36, !13, i64 40, !14, i64 48}
!12 = !{!"_ZTSN8rl_tools2nn10optimizers4adam10ParametersIfEE", !13, i64 0, !13, i64 4, !13, i64 8, !13, i64 12, !13, i64 16, !13, i64 20, !13, i64 24, !13, i64 28, !13, i64 32}
!13 = !{!"float", !7, i64 0}
!14 = !{!"long", !7, i64 0}
!15 = !{!"_ZTSSt23mersenne_twister_engineImLm32ELm624ELm397ELm31ELm2567483615ELm11ELm4294967295ELm7ELm2636928640ELm15ELm4022730752ELm18ELm1812433253EE", !7, i64 0, !14, i64 4992}
!16 = !{!"_ZTSN8rl_tools2rl10components15OffPolicyRunnerINS1_17off_policy_runner13SpecificationIfmNS0_12environments8PendulumINS5_8pendulum13SpecificationIfmNS7_17DefaultParametersIfEEEEEENS_5utils5TupleImJNS_9nn_models13RandomUniformINSF_14random_uniform13SpecificationIfmLm3ELm1ELNSH_5RangeE0EEEEENSF_10sequential5BuildINS_2nn10capability8GradientINSO_10parameters4AdamELb1EEENSM_6ModuleINSF_3mlp17BindConfigurationINSV_13ConfigurationIfmLm1ELm3ELm64ELNSO_20activation_functions18ActivationFunctionE1ELSZ_3ENSO_6layers5dense14KaimingUniformINS11_27KaimingUniformSpecificationIfmEEEELb1ELb1EEEEENSU_INS10_12td3_sampling17BindConfigurationINS18_13ConfigurationIfmNS0_10algorithms3td34loop4core22ConfigApproximatorsMLPIfmSC_20LOOP_CORE_PARAMETERSLb1EE5ACTORIST_E19SAMPLING_PARAMETERSEEEEENSM_12OutputModuleEEEEENS_6tensor5ShapeImJLm1ELm100ELm3EEEEEEEEENS1E_6ConfigIfmSt23mersenne_twister_engineImLm32ELm624ELm397ELm31ELm2567483615ELm11ELm4294967295ELm7ELm2636928640ELm15ELm4022730752ELm18ELm1812433253EESC_S1G_S1F_Lb1EE28OFF_POLICY_RUNNER_PARAMETERSELb1EEEEE", !17, i64 0, !18, i64 8, !14, i64 48, !24, i64 56, !25, i64 64, !27, i64 72, !36, i64 80, !38, i64 88, !40, i64 96, !42, i64 104, !22, i64 112, !44, i64 120, !46, i64 128}
!17 = !{!"_ZTSN8rl_tools2rl10components17off_policy_runner17ParametersRuntimeINS2_13SpecificationIfmNS0_12environments8PendulumINS5_8pendulum13SpecificationIfmNS7_17DefaultParametersIfEEEEEENS_5utils5TupleImJNS_9nn_models13RandomUniformINSF_14random_uniform13SpecificationIfmLm3ELm1ELNSH_5RangeE0EEEEENSF_10sequential5BuildINS_2nn10capability8GradientINSO_10parameters4AdamELb1EEENSM_6ModuleINSF_3mlp17BindConfigurationINSV_13ConfigurationIfmLm1ELm3ELm64ELNSO_20activation_functions18ActivationFunctionE1ELSZ_3ENSO_6layers5dense14KaimingUniformINS11_27KaimingUniformSpecificationIfmEEEELb1ELb1EEEEENSU_INS10_12td3_sampling17BindConfigurationINS18_13ConfigurationIfmNS0_10algorithms3td34loop4core22ConfigApproximatorsMLPIfmSC_20LOOP_CORE_PARAMETERSLb1EE5ACTORIST_E19SAMPLING_PARAMETERSEEEEENSM_12OutputModuleEEEEENS_6tensor5ShapeImJLm1ELm100ELm3EEEEEEEEENS1E_6ConfigIfmSt23mersenne_twister_engineImLm32ELm624ELm397ELm31ELm2567483615ELm11ELm4294967295ELm7ELm2636928640ELm15ELm4022730752ELm18ELm1812433253EESC_S1G_S1F_Lb1EE28OFF_POLICY_RUNNER_PARAMETERSELb1EEEEE", !13, i64 0}
!18 = !{!"_ZTSN8rl_tools2rl10components17off_policy_runner7BuffersINS2_13SpecificationIfmNS0_12environments8PendulumINS5_8pendulum13SpecificationIfmNS7_17DefaultParametersIfEEEEEENS_5utils5TupleImJNS_9nn_models13RandomUniformINSF_14random_uniform13SpecificationIfmLm3ELm1ELNSH_5RangeE0EEEEENSF_10sequential5BuildINS_2nn10capability8GradientINSO_10parameters4AdamELb1EEENSM_6ModuleINSF_3mlp17BindConfigurationINSV_13ConfigurationIfmLm1ELm3ELm64ELNSO_20activation_functions18ActivationFunctionE1ELSZ_3ENSO_6layers5dense14KaimingUniformINS11_27KaimingUniformSpecificationIfmEEEELb1ELb1EEEEENSU_INS10_12td3_sampling17BindConfigurationINS18_13ConfigurationIfmNS0_10algorithms3td34loop4core22ConfigApproximatorsMLPIfmSC_20LOOP_CORE_PARAMETERSLb1EE5ACTORIST_E19SAMPLING_PARAMETERSEEEEENSM_12OutputModuleEEEEENS_6tensor5ShapeImJLm1ELm100ELm3EEEEEEEEENS1E_6ConfigIfmSt23mersenne_twister_engineImLm32ELm624ELm397ELm31ELm2567483615ELm11ELm4294967295ELm7ELm2636928640ELm15ELm4022730752ELm18ELm1812433253EESC_S1G_S1F_Lb1EE28OFF_POLICY_RUNNER_PARAMETERSELb1EEELb1EEE", !19, i64 0, !21, i64 8, !22, i64 16, !19, i64 24, !21, i64 32}
!19 = !{!"_ZTSN8rl_tools6MatrixINS_6matrix13SpecificationIfmLm1ELm3ELb1ENS1_7layouts17RowMajorAlignmentImLm1EEELb0EEEEE", !20, i64 0}
!20 = !{!"_ZTSN8rl_tools6matrix13MatrixDynamicIfmLm12ELb0EEE", !6, i64 0}
!21 = !{!"_ZTSN8rl_tools6MatrixINS_6matrix13SpecificationIfmLm1ELm3ELb1ENS1_7layouts5FixedImLm3ELm1EEELb0EEEEE", !20, i64 0}
!22 = !{!"_ZTSN8rl_tools6MatrixINS_6matrix13SpecificationIfmLm1ELm1ELb1ENS1_7layouts17RowMajorAlignmentImLm1EEELb0EEEEE", !23, i64 0}
!23 = !{!"_ZTSN8rl_tools6matrix13MatrixDynamicIfmLm4ELb0EEE", !6, i64 0}
!24 = !{!"bool", !7, i64 0}
!25 = !{!"_ZTSN8rl_tools6MatrixINS_6matrix13SpecificationINS_2rl12environments8PendulumINS4_8pendulum13SpecificationIfmNS6_17DefaultParametersIfEEEEEEmLm1ELm1ELb1ENS1_7layouts17RowMajorAlignmentImLm1EEELb0EEEEE", !26, i64 0}
!26 = !{!"_ZTSN8rl_tools6matrix13MatrixDynamicINS_2rl12environments8PendulumINS3_8pendulum13SpecificationIfmNS5_17DefaultParametersIfEEEEEEmLm1ELb0EEE", !6, i64 0}
!27 = !{!"_ZTSN8rl_tools5utils8MapTupleINS0_5TupleImJNS_9nn_models13RandomUniformINS3_14random_uniform13SpecificationIfmLm3ELm1ELNS5_5RangeE0EEEEENS3_10sequential5BuildINS_2nn10capability8GradientINSC_10parameters4AdamELb1EEENSA_6ModuleINS3_3mlp17BindConfigurationINSJ_13ConfigurationIfmLm1ELm3ELm64ELNSC_20activation_functions18ActivationFunctionE1ELSN_3ENSC_6layers5dense14KaimingUniformINSP_27KaimingUniformSpecificationIfmEEEELb1ELb1EEEEENSI_INSO_12td3_sampling17BindConfigurationINSW_13ConfigurationIfmNS_2rl10algorithms3td34loop4core22ConfigApproximatorsMLPIfmNSZ_12environments8PendulumINS15_8pendulum13SpecificationIfmNS17_17DefaultParametersIfEEEEEE20LOOP_CORE_PARAMETERSLb1EE5ACTORISH_E19SAMPLING_PARAMETERSEEEEENSA_12OutputModuleEEEEENS_6tensor5ShapeImJLm1ELm100ELm3EEEEEEEEENSZ_10components15OffPolicyRunnerINS1S_17off_policy_runner13SpecificationIfmS1C_S1R_NS13_6ConfigIfmSt23mersenne_twister_engineImLm32ELm624ELm397ELm31ELm2567483615ELm11ELm4294967295ELm7ELm2636928640ELm15ELm4022730752ELm18ELm1812433253EES1C_S1D_S14_Lb1EE28OFF_POLICY_RUNNER_PARAMETERSELb1EEEE9GET_STATEEEE", !28, i64 0, !35, i64 3}
!28 = !{!"_ZTSN8rl_tools5utils8MapTupleINS0_5TupleImJNS_9nn_models10sequential5BuildINS_2nn10capability8GradientINS6_10parameters4AdamELb1EEENS4_6ModuleINS3_3mlp17BindConfigurationINSD_13ConfigurationIfmLm1ELm3ELm64ELNS6_20activation_functions18ActivationFunctionE1ELSH_3ENS6_6layers5dense14KaimingUniformINSJ_27KaimingUniformSpecificationIfmEEEELb1ELb1EEEEENSC_INSI_12td3_sampling17BindConfigurationINSQ_13ConfigurationIfmNS_2rl10algorithms3td34loop4core22ConfigApproximatorsMLPIfmNST_12environments8PendulumINSZ_8pendulum13SpecificationIfmNS11_17DefaultParametersIfEEEEEE20LOOP_CORE_PARAMETERSLb1EE5ACTORISB_E19SAMPLING_PARAMETERSEEEEENS4_12OutputModuleEEEEENS_6tensor5ShapeImJLm1ELm100ELm3EEEEEEEEENST_10components15OffPolicyRunnerINS1M_17off_policy_runner13SpecificationIfmS16_NS2_ImJNS3_13RandomUniformINS3_14random_uniform13SpecificationIfmLm3ELm1ELNS1R_5RangeE0EEEEES1K_EEENSX_6ConfigIfmSt23mersenne_twister_engineImLm32ELm624ELm397ELm31ELm2567483615ELm11ELm4294967295ELm7ELm2636928640ELm15ELm4022730752ELm18ELm1812433253EES16_S17_SY_Lb1EE28OFF_POLICY_RUNNER_PARAMETERSELb1EEEE9GET_STATEEEE", !29, i64 0}
!29 = !{!"_ZTSN8rl_tools9nn_models10sequential11ModuleStateINS1_24ModuleStateSpecificationINS1_23CapabilitySpecificationINS_2nn10capability8GradientINS5_10parameters4AdamELb1EEENS1_13SpecificationINS1_6ModuleINS0_3mlp17BindConfigurationINSD_13ConfigurationIfmLm1ELm3ELm64ELNS5_20activation_functions18ActivationFunctionE1ELSH_3ENS5_6layers5dense14KaimingUniformINSJ_27KaimingUniformSpecificationIfmEEEELb1ELb1EEEEENSC_INSI_12td3_sampling17BindConfigurationINSQ_13ConfigurationIfmNS_2rl10algorithms3td34loop4core22ConfigApproximatorsMLPIfmNST_12environments8PendulumINSZ_8pendulum13SpecificationIfmNS11_17DefaultParametersIfEEEEEE20LOOP_CORE_PARAMETERSLb1EE5ACTORISA_E19SAMPLING_PARAMETERSEEEEENS1_12OutputModuleEEEEENSD_21NeuralNetworkGradientINSD_13SpecificationISO_SA_NS_6tensor5ShapeImJLm1ELm100ELm3EEEEEEEENS1_14ModuleGradientINS4_ISA_NSB_IS1F_NSQ_13LayerGradientINSQ_13SpecificationIS1C_SA_NS1J_7ReplaceIS1L_Lm1ELm2EEEEEEES1E_EEEEEEEEEELb1EEEEE", !30, i64 0}
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!148 = distinct !{!148, !149}
!149 = !{!"llvm.loop.mustprogress"}


; Effective O3 passes: EarlyCSEPass,GlobalOptPass,InferFunctionAttrsPass,InstCombinePass,LICMPass,LoopSimplifyPass,LoopUnrollPass,PostOrderFunctionAttrsPass,SROAPass,SimplifyCFGPass