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NN_in_Trading/Experts/NeuroNet_DNG/NeuroNet_Definitions.mqh
2026-10-22 14:58:24 +03:00
3985 라인
176 KiB
MQL5
//+------------------------------------------------------------------+
//| NeuroNet_Definitions.mqh |
//| Copyright 2026, DNG |
//| https://www.mql5.com/ru/users/dng |
//+------------------------------------------------------------------+
#ifndef NEURONET_DEFINITIONS_MQH
#define NEURONET_DEFINITIONS_MQH
#define NEURONET_OPENCL_CHECKED_API
//--- \file
//--- \brief NeuroNet.mqh
//--- Library for creating Neural network for use in MQL5 experts
//--- \author [DNG](https://www.mql5.com/en/users/dng)
//---\mainpage NeuronNet
//--- Library for creating Neural network for use in MQL5 experts.
//--- - \ref const
//--- - \ref enums
//--- - \ref ObjectTypes
//--- - \ref group1
//--- - [<b>Class Hierarchy</b>](hierarchy.html)
//--- - [<b>Files</b>](files.html)
#property link "https://www.mql5.com"
#property version "1.00"
//+------------------------------------------------------------------+
//| Include standart libraries |
//+------------------------------------------------------------------+
#include <Arrays\ArrayFloat.mqh>
#include <Arrays\ArrayInt.mqh>
#include <Arrays\ArrayObj.mqh>
#include <OpenCL\OpenCL.mqh>
#include <Math\Stat\Normal.mqh>
//+------------------------------------------------------------------+
//| Defines |
//+------------------------------------------------------------------+
//---\defgroup const Global constants
//---@{
/// learning rate
#define lr 3.0e-4f
/// momentum for SGD optimization
#define momentum 0.9f
#define WeightsMultiplier 0.01f
//---
/** First momentum multiplier of Adam optimization*/
#define b1 0.9f
/** Second momentum multiplier of Adam optimization*/
#define b2 0.999f
//--- Pseudo-random sequence generator
#define xor128 rnd_t=(rnd_x^(rnd_x<<11)); \
rnd_x=rnd_y; \
rnd_y=rnd_z; \
rnd_z=rnd_w; \
rnd_w=(rnd_w^(rnd_w>>19))^(rnd_t^(rnd_t>>8))
//---
uint rnd_x = MathRand(), rnd_y = MathRand(), rnd_z = MathRand(), rnd_w = MathRand(), rnd_t = 0;
//---@}
#define CreateKernel(id, name) if(!opencl.KernelCreate(id, name)) { \
PrintFormat("Error of create kernel %s: %d line %d", #name, GetLastError(), __LINE__); \
ReturnFalse; }
#define setBuffer(kernel, id, buffer) if(!OpenCL.SetArgumentBuffer(kernel, id, buffer)) { \
printf("Error of set parameter kernel %s: %d; line %d", OpenCL.GetKernelName(kernel), GetLastError(), __LINE__); \
ReturnFalse; }
#define setArgument(kernel, id, value) if(!OpenCL.SetArgument(kernel, id, value)) { \
printf("Error of set parameter kernel %s: %d; line %d", OpenCL.GetKernelName(kernel), GetLastError(), __LINE__); \
ReturnFalse; }
#define kernelExecute(kernel,offset,global) if(!OpenCL.Execute(kernel, global.Size(), offset, global)) { \
string error; \
CLGetInfoString(OpenCL.GetContext(), CL_ERROR_DESCRIPTION, error); \
printf("Error of execution kernel %s %s:\n %s", __FUNCTION__, OpenCL.GetKernelName(kernel), error); \
string s_global=StringFormat("global = {%d",global[0]); \
for(uint i=1;i<global.Size();i++) s_global=StringFormat("%s, %d",s_global, global[i]); \
printf("%s}",s_global); \
ReturnFalse; }
#define kernelExecuteLoc(kernel,offset,global,local) if(!OpenCL.Execute(kernel, global.Size(), offset, global, local)) { \
string error; \
CLGetInfoString(OpenCL.GetContext(), CL_ERROR_DESCRIPTION, error); \
printf("Error of execution kernel %s %s:\n %s", __FUNCTION__, OpenCL.GetKernelName(kernel), error); \
string s_global=StringFormat("global = {%d",global[0]); \
for(uint i=1;i<global.Size();i++) s_global=StringFormat("%s, %d",s_global, global[i]); \
printf("%s}",s_global); \
string s_local=StringFormat("local = {%d",local[0]); \
for(uint i=1;i<local.Size();i++) s_local=StringFormat("%s, %d",s_local, local[i]); \
printf("%s}",s_local); \
ReturnFalse; }
#define ReturnFalse { printf("Error at %s line %d", __FUNCTION__, __LINE__); \
return(false); }
#define ReturnFalseEx(context) { printf("Error at %s line %d: %s", __FUNCTION__, __LINE__, context); \
return(false); }
#define DeleteObj(obj) if(!!obj) delete obj;
#define DeleteObjAndFalse(obj) { DeleteObj(obj) \
ReturnFalse }
#define Deactivation(obj) if(obj.Activation()!=None && \
!DeActivation(obj.getOutput(), obj.getGradient(),\
obj.getGradient(),obj.Activation())) ReturnFalse;
#define dActivation(obj) if(obj.Activation()!=None && \
!Activation(obj.getOutput(), obj.getOutput(), obj.Activation())) ReturnFalse;
#define dWeightsUpdate(obj,source,tau) if(!obj.WeightsUpdate(source.obj.AsObject(),tau)) ReturnFalse;
#define dFileWriteUInt(file_handle, value) if(FileWriteInteger(file_handle, (int)value,INT_VALUE)<INT_VALUE) ReturnFalse;
#define dFileReadUInt(file_handle, value) if(FileIsEnding(file_handle)) ReturnFalse; value = (uint)FileReadInteger(file_handle);
#define dFileWriteFloat(file_handle, value) if(FileWriteFloat(file_handle, (float)value)<sizeof(float)) ReturnFalse;
#define dFileReadUFloat(file_handle, value) if(FileIsEnding(file_handle)) ReturnFalse; value = FileReadFloat(file_handle);
//--- D2Skill shared MQL5 contract constants. NeuroNet.cl is a separate
//--- OpenCL program and keeps matching device-side constants in its source.
#define D2SKILL_FORMAT 8
#define D2SKILL_LAYER_FORMAT 1
#define D2SKILL_ITEM_FORMAT 1
#define D2SKILL_DIAGNOSTICS 24
#define D2SKILL_DISTRIBUTION_BINS 5
#define D2SKILL_METRICS 10
#define D2SKILL_DIAGNOSTIC_PARTIALS 22
#define D2SKILL_FREE 0
#define D2SKILL_CANDIDATE 1
#define D2SKILL_PROTECTED 2
#define D2SKILL_ACTIVE 3
#define D2SKILL_INACTIVE 4
//+------------------------------------------------------------------+
//| Implements the pow helper function. |
//+------------------------------------------------------------------+
template<typename T1, typename T2>
T1 pow(T2 a, T1 b)
{
return(T1)MathPow((T1)a, (T1)b);
}
//+------------------------------------------------------------------+
//| Declares the uaLongChar union. |
//+------------------------------------------------------------------+
union uaLongChar
{
long data[3];
uchar cdata[24];
};
//---\defgroup ObjectTypes Defines Object types identified
//---Used to identify classes in a library
//---@{
//---\defgroup arr Arrays
//---Used to identify array classes
//---\{
/// Array of connections \details Identified class #CArrayCon
#define defArrayConnects 0x7782
/// Layer of neurons \details Identified class #CLayer
#define defLayer 0x7787
/// Array of layers \details Identified class #CArrayLayer
#define defArrayLayer 0x7788
/// Neuron Net \details Identified class #CNet
#define defNet 0x7790
//---\}
//---\defgroup cpu CPU
//---Used to identify classes with CPU calculation
//---\{
/// Connection \details Identified class #CConnection
#define defConnect 0x7781
/// Neuron base type \details Identified class #CNeuronBase
#define defNeuronBase 0x7783
/// Full connected neuron \details Identified class #CNeuron
#define defNeuron 0x7784
/// Convolution neuron \details Identified class #CNeuronConv
#define defNeuronConv 0x7785
/// Proof neuron \details Identified class #CNeuronProof
#define defNeuronProof 0x7786
/// LSTM Neuron \details Identified class #CNeuronLSTM
#define defNeuronLSTM 0x7791
//---\}
//---\defgroup gpu GPU
//---Used to identify classes with GPU calculation
//---\{
/// Data Buffer OpenCL \details Identified class #CBufferFloat
#define defBufferDouble 0x7882
/// Neuron Base OpenCL \details Identified class #CNeuronBaseOCL
#define defNeuronBaseOCL 0x7883
/// Conolution neuron OpenCL \details Identified class #CNeuronConvOCL
#define defNeuronConvOCL 0x7885
/// Proof neuron OpenCL \details Identified class #CNeuronProofOCL
#define defNeuronProofOCL 0x7886
/// Attention neuron OpenCL \details Identified class #CNeuronAttentionOCL
#define defNeuronAttentionOCL 0x7887
/// Multi-Head Attention neuron OpenCL \details Identified class #CNeuronMHAttentionOCL
#define defNeuronMHAttentionOCL 0x7888
/// Multilayer multi-headed attention neuron OpenCL \details Identified class #CNeuronMLMHAttentionOCL
#define defNeuronMLMHAttentionOCL 0x7889
/// Dropout neuron OpenCL \details Identified class #CNeuronDropoutOCL
#define defNeuronDropoutOCL 0x7890
/// Batchnorm neuron OpenCL \details Identified class #CNeuronBatchNormOCL
#define defNeuronBatchNormOCL 0x7891
/// VAE neuron OpenCL \details Identified class #CVAE
#define defNeuronVAEOCL 0x7892
/// Bayesian linear neuron OpenCL
#define defNeuronBayesianLinearOCL 0x811F
/// Online posterior mean bridge OpenCL
#define defNeuronOMPBOCL 0x8120
/// LSTM Neuron \details Identified class #CNeuronLSTMOCL
#define defNeuronLSTMOCL 0x7893
/// SoftMax layer \details Identified class #CNeuronSoftMaxOCL
#define defNeuronSoftMaxOCL 0x7894
/// FQF layer \details Identified class #CNeuronFQF
#define defNeuronFQF 0x7895
/// Multilayer multi-headed sparse attention neuron OpenCL \details Identified class #CNeuronMLMHAttentionOCL
#define defNeuronMLMHSparseAttentionOCL 0x7896
/// Neuron Base MultiModels OpenCL \details Identified class #CNeuronMultiModels
#define defNeuronMultiModels 0x7897
#define defNeuronConcatenate 0x7898
#define defNeuronSoftActorCritic 0x7899
#define defNeuronEmbeddingOCL 0x7900
#define defNeuronPEOCL 0x7901
#define defNeuronTransposeOCL 0x7902
#define defNeuronMH2AttentionOCL 0x7903
#define defNeuronCGConvOCL 0x7904
#define defNeuronMFTOCL 0x7905
#define defNeuronXCiTOCL 0x7906
#define defNeuronDOTOCL 0x7907
#define defNeuronFAQOCL 0x7908
#define defNeuronCrossAttenOCL 0x7909
#define defNeuronGTE 0x7910
#define defResidualConv 0x7911
#define defCCMREncoder 0x7912
#define defNeuronCrossXCiTOCL 0x7913
#define defNeuronCCMROCL 0x7914
#define defNeuronNODEOCL 0x7915
#define defNeuronConformerOCL 0x7916
#define defNeuronRevInDenormOCL 0x7917
#define defNeuronClientOCL 0x7918
#define defNeuronLearnabledPE 0x7919
#define defNeuronUShapeAttention 0x7920
#define defNeuronPatchingOCL 0x7921
#define defNeuronTiDEOCL 0x7922
#define defNeuronLegendreWavelets 0x7923
#define defNeuronFEDW 0x7924
#define defNeuronFITSOCL 0x7925
#define defNeuronFreDFOCL 0x7926
#define defNeuronComplexMLMHAttentionOCL 0x7927
#define defNeuronATFNetOCL 0x7928
#define defNeuronS3 0x7929
#define defNeuronMLMHAttentionMLKV 0x7930
#define defNeuronMLCrossAttentionMLKV 0x7931
#define defNeuronCSCMOCL 0x7932
#define defNeuronSPyrAttentionMLKV 0x7933
#define defNeuronPLROCL 0x7934
#define defNeuronTPMEncoder 0x7935
#define defNeuronTPM 0x7936
#define defNeuronSTNNEncoder 0x7937
#define defNeuronSTNNDecoder 0x7938
#define defNeuronSparseTSF 0x7939
#define defNeuronTEMPOOCL 0x7940
#define defNeuronMVMHAttentionMLKV 0x7941
#define defNeuronMVCrossMHAttentionMLKV 0x7942
#define defNeuronInjectTST 0x7943
#define defNeuronSSMOCL 0x7944
#define defNeuronMambaOCL 0x7945
#define defNeuronMambaBlockOCL 0x7946
#define defNeuronTrajLLMOCL 0x7947
#define defNeuronUniTrajOCL 0x7948
#define defNeuronHiVTAAEncoder 0x7949
#define defNeuronTransposeRCDOCL 0x7950
#define defNeuronHiVTOCL 0x7951
#define defNeuronPointNetOCL 0x7952
#define defNeuronPointNet2OCL 0x7953
#define defNeuronPointNet2LocalOCL 0x7954
#define defNeuronPointFormer 0x7955
#define defNeuronSceneSpecific 0x7956
#define defNeuronMLMHSceneConditionAttention 0x7957
#define defNeuronHyperDet 0x7958
#define defNeuronSEFormer 0x7959
#define defNeuronSPFormer 0x7960
#define defNeuronMAFT 0x7961
#define defNeuronGRES 0x7962
#define defNeuronGEGWA 0x7963
#define defNeuronLPC 0x7964
#define defNeuronOCM 0x7965
#define defNeuronRefMask 0x7966
#define defNeuronRelativeSelfAttention 0x7967
#define defNeuronRMAT 0x7968
#define defNeuronMHAttentionPooling 0x7969
#define defNeuronMotifs 0x7970
#define defNeuronMultiScaleAttention 0x7971
#define defNeuronMolformer 0x7972
#define defNeuronRelativeCrossAttention 0x7973
#define defNeuronMotifEncoder 0x7974
#define defNeuronPropertyAwareAttention 0x7975
#define defNeuronAMCT 0x7976
#define defNeuronNAFS 0x7977
#define defNeuronBatchNormWithNoise 0x7978
#define defNeuronDiffusion 0x7979
#define defNeuronHyperProjection 0x7980
#define defNeuronHyperboloids 0x7981
#define defNeuronHypDiff 0x7982
#define defNeuronBaseSAMOCL 0x7983
#define defNeuronConvSAMOCL 0x7984
#define defNeuronPSBlock 0x7985
#define defNeuronPSformer 0x7986
#define defNeuronMarketObserver 0x7987
#define defNeuronRLAgent 0x7988
#define defNeuronControlAgent 0x7989
#define defNeuronMASA 0x7990
#define defNeuronPLRMultiAgentsOCL 0x7991
#define defNeuronCrossSectionalAnalysis 0x7992
#define defNeuronTemporalAnalysis 0x7993
#define defNeuronTransposeVRCOCL 0x7994
#define defNeuronPortfolioGenerator 0x7995
#define defNeuronMASAAT 0x7996
#define defNeuronMHConvOCL 0x7997
#define defNeuronMHFeedForward 0x7998
#define defNeuronDMHAttention 0x7999
#define defNeuronCrossDMHAttention 0x8000
#define defNeuronLegendreWaveletsHL 0x8001
#define defNeuronDecouplingFlow 0x8002
#define defNeuronDilatedCasualConv 0x8003
#define defNeuronMultitaskStockformer 0x8004
#define defNeuronMemory 0x8005
#define defNeuronFinMem 0x8006
#define defNeuronLowLevelReflection 0x8007
#define defNeuronHighLevelReflection 0x8008
#define defNeuronFinAgent 0x8009
#define defNeuronMemoryDistil 0x8010
#define defNeuronFinConAgent 0x8011
#define defNeuronFinConManager 0x8012
#define defNeuronMacroHFT 0x8013
#define defNeuronMacroHFTHyperAgent 0x8014
#define defNeuronMacroHFTvsRiskManager 0x8015
#define defNeuronMultiScaleRelativeSelfAttention 0x8016
#define defNeuronMultiScaleRelativeCrossAttention 0x8017
#define defNeuronRecursiveAttention 0x8018
#define defNeuronLinerAttention 0x8019
#define defNeuronHidformerTSAgent 0x8020
#define defNeuronHidformerFreqAgent 0x8021
#define defNeuronHidformer 0x8022
#define defNeuronResNeXtBottleneck 0x8023
#define defNeuronResNeXtResidual 0x8024
#define defNeuronResNeXtBlock 0x8025
#define defNeuron2DSSMOCL 0x8026
#define defNeuronChimera 0x8027
#define defNeuronMoT 0x8028
#define defNeuronChimeraPlus 0x8029
#define defNeuronHypridDecoder 0x8030
#define defNeuronAttraos 0x8031
#define defNeuronTopKGates 0x8032
#define defNeuronMoE 0x8033
#define defNeuronChanelMask 0x8034
#define defNeuronDUET 0x8035
#define defNeuronMultiWindowsConvOCL 0x8036
#define defNeuronAdaBN 0x8037
#define defNeuronComplexConvOCL 0x8038
#define defNeuronComplexMVMHMaskAttention 0x8039
#define defNeuronCATCH 0x8040
#define defNeuronSkillsEncoder 0x8041
#define defNeuronHiSSDLowLevelControler 0x8042
#define defNeuronCGLSTMOCL 0x8043
#define defNeuronMHProbAttention 0x8044
#define defNeuronTSPositionEncoder 0x8045
#define defMamba4CastEmbeding 0x8046
#define defNeuronMultiWindowsConvWPadOCL 0x8047
#define defNeuronConcatDiff 0x8048
#define defNeuronMantisPatching 0x8049
#define defNeuronMantisAttentionUnit 0x8050
#define defNeuronTimeFoundPatching 0x8051
#define defNeuronTimeFoundTransformerUnit 0x8052
#define defNeuronSwiGLUOCL 0x8053
#define defNeuronMaskMultiWinConv 0x8054
#define defNeuronTimeMoESparseExperts 0x8055
#define defNeuronTimeMoEAttention 0x8056
#define defNeuronAdaptConv 0x8057
#define defNeuronRoPE 0x8058
#define defParams 0x8059
#define defNeuronK2VAEEncoder 0x8060
#define defNeuronInterpolationAttention 0x8061
#define defNeuronAGCN 0x8062
#define defNeuronGinARCell 0x8063
#define defNeuronGinAR 0x8064
#define defNeuronPeriodNorm 0x8065
#define defNeuronAdaptSpatialNorm 0x8066
#define defNeuronSCNNEncoder 0x8067
#define defNeuronSCNN 0x8068
#define defNeuronAttentNorm 0x8069
#define defNeuronSAttentNorm 0x8070
#define defNeuronPolynomialRegression 0x8071
#define defNeuronSSCNNEncoder 0x8072
#define defNeuronSSCNN 0x8073
#define defCircleParams 0x8074
#define defNeuronTQMHA 0x8075
#define defChebPolinom 0x8076
#define defNeuronHimNetGrapConv 0x8077
#define defNeuronHimNetGCRU 0x8078
#define defNeuronHimNetTempEncoder 0x8079
#define defNeuronHimNetSpatEncoder 0x8080
#define defNeuronHimNetEncoder 0x8081
#define defNeuronHimNetDecoder 0x8082
#define defNeuronSNSMHAttention 0x8083
#define defNeuronFastGConv 0x8084
#define defNeuronSAGDFN 0x8085
#define defNeuronSpatialEmbedding 0x8086
#define defNeuronTempEmbedding 0x8087
#define defNeuronGlobalLocalAttention 0x8088
#define defNeuronExtralonger 0x8089
#define defNeuronGraphons 0x8090
#define defNeuronGraphAttention 0x8091
#define defNeuronSparseSoftMax 0x8092
#define defNeuronSparseGraphAttention 0x8093
#define defNeuronGlobLocGraphAtt 0x8094
#define defNeuronExtralongerGraph 0x8095
#define defNeuronSpikeConv 0x8096
#define defNeuronGateLineAttention 0x8097
#define defNeuronSpikeSparseAttention 0x8098
#define defNeuronMoEConv 0x8099
#define defNeuronSpikingBrain 0x809A
#define defNeuronSpikeActivation 0x809B
#define defNeuronSpikeResNeXtBottleneck 0x809C
#define defNeuronSpikeResNeXtResidual 0x809D
#define defNeuronSpikeResNeXtBlock 0x809E
#define defNeuronSSAM 0x809F
#define defNeuronSSAMResNeXtBlock 0x80A0
#define defNeuronSTFS 0x80A1
#define defNeuronSpikeConvGRU 0x80A2
#define defNeuronAddToStack 0x80A3
#define defNeuronStackCorrelation 0x80A4
#define defNeuronSTEFlowNetEncoder 0x80A5
#define defNeuronSTEFlowNetResidualBlock 0x80A6
#define defNeuronSTEFlowNetDecoder 0x80A7
#define defNeuronSTEFlowNet 0x80A8
#define defNeuronMultiScaleStackCorrelation 0x80A9
#define defNeuronSpikeConvGRU2D 0x80AA
#define defNeuronRAFT 0x80AB
#define defNeuronMultScalStackCorrelBySegments 0x80AC
#define defNeuronTMAMFE 0x80AD
#define defNeuronTMAMPA 0x80AE
#define defNeuronTMA 0x80AF
#define defNeuronSpikeSTConvGRU 0x80B0
#define defNeuronFERENet 0x80B1
#define defNeuronFGDModule 0x80B2
#define defNeuronEVMGRFlowNet 0x80B3
#define defNeuronSpikeConvBlock 0x80B4
#define defNeuronMSRes 0x80B5
#define defNeuronSpikeQKAttention 0x80B6
#define defNeuronSDSA 0x80B7
#define defNeuronSDformerUBlock 0x80B8
#define defNeuronSDformerFlow 0x80B9
#define defNeuronSpikePatchStak 0x80BA
#define defNeuronSpike2DSSMOCL 0x80BB
#define defNeuronSpikeMamba2D 0x80BC
#define defNeuronSpikeSTSSM 0x80BD
#define defNeuronESTMEncoder 0x80BE
#define defNeuronCreateFlow 0x80BF
#define defNeuronBiDirectCorrelation 0x80C0
#define defNeuronSATMA 0x80C1
#define defNeuronBAT 0x80C2
#define defNeuronSpikeSCM 0x80C3
#define defNeuronSpikeFAM 0x80C4
#define defNeuronSpikeMDC 0x80C5
#define defNeuronMDS 0x80C6
#define defNeuronSpikeADM 0x80C7
#define defNeuronBATvADM 0x80C8
#define defNeuronCDCSelfCorrector 0x80C9
#define defNeuronSpikeCDC 0x80CA
#define defNeuronSpikeEEMFLow 0x80CB
#define defNeuronSpikeDepthWiseConv 0x80CC
#define defNeuronMultiScaleExcitation 0x80CD
#define defNeuronMultiScaleDifference 0x80CE
#define defNeuronCorrelationEncoder 0x80CF
#define defNeuronEDCFlow 0x80D0
#define defNeuronCreateICEFlow 0x80D1
#define defNeuronSpikeMFE 0x80D2
#define defNeuronSpikeMHCrossAttention 0x80D3
#define defNeuronSpikeMixFusion 0x80D4
#define defNeuronSTFlow 0x80D5
#define defNeuronPSSE 0x80D6
#define defNeuronSpikeDepthWiseResidual 0x80D7
#define defNeuronSpikeSuperKernelBlock 0x80D8
#define defNeuronSpikeGMA 0x80D9
#define defNeuronETROF 0x80DA
#define defNeuronPSSEFlow 0x80DB
#define defNeuronSpikeUSR 0x80DC
#define defNeuronInitialFlow 0x80DD
#define defNeuronSpikeSMR 0x80DE
#define defNeuronEVAFlow 0x80DF
#define defNeuronResFlowHTR 0x80E0
#define defNeuronResFlow 0x80E1
#define defNeuronConfGateTailAwareMoE 0x80E2
#define defNeuronResFlowLattice 0x80E3
#define defFieldAwareParams 0x80E4
#define defNeuronFieldAwareConv 0x80E5
#define defNeuronMHFAT 0x80E6
#define defNeuronMHCrossFAT 0x80E7
#define defNeuronFieldPatternEmbedding 0x80E8
#define defNeuronAutoToken 0x80E9
#define defNeuronMultiMixAttention 0x80EA
#define defNeuronSparseMoEConv 0x80EB
#define defNeuronMTmixAttBlock 0x80EC
#define defCrossMHFlashAttention 0x80ED
#define defNeuronMixFeedForward 0x80EE
#define defNeuronOneTrans 0x80EF
#define defNeuronMHTHCrossAttention 0x80F0
#define defNeuronSTCA 0x80F1
#define defNeuronWeightGenerator 0x80F2
#define defNeuronPCGR 0x80F3
#define defNeuronADS 0x80F4
#define defNeuronPerTokenFFN 0x80F5
#define defNeuronScenariosToken 0x80F6
#define defNeuronUnifiedTokenizer 0x80F7
#define defNeuronDomainAwareAttention 0x80F8
#define defNeuronFeatureSelfIteration 0x80F9
#define defNeuronDomainFused 0x80FA
#define defNeuronMDL 0x80FB
#define defNeuronUniMixerTokenizer 0x80FC
#define defNeuronPerTokenSwiGLU 0x80FD
#define defNeuronUniMixer 0x80FE
#define defNeuronSiameseNorm 0x80FF
#define defNeuronUniMixerBlock 0x8100
#define defNeuronINFNetScenarios 0x8101
#define defNeuronINFNetHUBSequence 0x8102
#define defNeuronINFNetBlock 0x8103
#define defNeuronSequenceTokenizer 0x8104
#define defNeuronDifferenceTokenizer 0x8105
#define defNeuronReGENTADBackbone 0x8106
#define defNeuronReGENTADHead 0x8107
#define defNeuronReGENTAD 0x8108
#define defNeuronDictionaryCrossAtt 0x8109
#define defNeuronGDformerBackbone 0x810A
#define defNeuronGDformer 0x810B
#define defNeuronUncAD_MSD 0x810C
#define defNeuronUncAD_MUE 0x810D
#define defNeuronUncAD_UGP 0x810E
#define defNeuronUncAD_UGPL 0x810F
#define defNeuronUncAD 0x8110
#define defNeuronMomADTTM 0x8111
#define defNeuronMomADMPI 0x8112
#define defNeuronMomAD 0x8113
#define defNeuronCogDriverData 0x8114
#define defNeuronCogDriverRankTCM 0x8115
#define defNeuronCogDriverForecastHead 0x8116
#define defNeuronCogDriverForecastToken 0x8117
#define defNeuronScenarioForecast 0x8118
#define defNeuronScenarioCrossAttention 0x8119
#define defNeuronRAGMemory 0x811A
#define defNeuronVLADriverRAGMPI 0x811B
#define defNeuronD2SkillItem 0x811C
#define defNeuronD2SkillBank 0x811D
#define defNeuronD2Skill 0x811E
#define defNeuronACSRM 0x8121 ///\<Spectral-risk (AC-SRM) critic layer \\details Identified class #CNeuronACSRM
//---\}
//---@}
//---\defgroup group1 Defines for OpenCL kernels identified
//--- Used as indexes when calling functions OpenCL.
//---@{
//---\defgroup neuron_base Neuron Base
//--- Describes the process for the Neuron Base.
//---\details Detailed description on [the link.](https://www.mql5.com/ru/articles/8435#para4)
//---@{
//---\defgroup neuron_base_ff Feed Forward proccess kernel
//--- Describes the forward path process for the Neuron Base.
//---\details Detailed description on <A HREF="https://www.mql5.com/ru/articles/8435#para41">the link.</A>
//---@{
/// Index of #FeedForward kernel
#define def_k_FeedForward 0
/// Weights matrix (m+1)*n, where m - number of neurons in layer and n - number of outputs (neurons in next layer)
#define def_k_ff_matrix_w 0
/// Inputs tesor
#define def_k_ff_matrix_i 1
/// Output tensor
#define def_k_ff_matrix_o 2
/// Number of inputs
#define def_k_ff_inputs 3
/// Activation type (#ENUM_ACTIVATION)
#define def_k_ff_activation 4
/// Per-logical-output numeric status buffer
#define def_k_ff_numeric_flags 5
/// Nonzero enables numeric status writes
#define def_k_ff_flags_enabled 6
//---@}
//---\defgroup neuron_base_gr Gradients Calculation kernels
//--- Describes the process of gradients calculation for the Neuron Base.
//---\details Detailed description on <A HREF="https://www.mql5.com/ru/articles/8435#para42">the link.</A>
//---@{
/// Index of Output gradients calculation kernel (#CalcOutputGradient)
#define def_k_CalcOutputGradient 1
/// Target tensor
#define def_k_cog_matrix_t 0
/// Output tensor
#define def_k_cog_matrix_o 1
/// Tensor of gradients at previous layer
#define def_k_cog_matrix_ig 2
/// Activation type (#ENUM_ACTIVATION)
#define def_k_cog_activation 3
/// Error
#define def_k_cog_error 4
//---
/// Index of Hidden gradients calculation kernel (#CalcHiddenGradient)
#define def_k_CalcHiddenGradient 2
/// Weights matrix (m+1)*n, where m - number of neurons in previous layer and n - number of neurons in current layer
#define def_k_chg_matrix_w 0
/// Tensor of gradients at current layer
#define def_k_chg_matrix_g 1
/// Output tensor
#define def_k_chg_matrix_o 2
/// Tensor of gradients at previous layer
#define def_k_chg_matrix_ig 3
/// Number of outputs
#define def_k_chg_outputs 4
/// Activation type (#ENUM_ACTIVATION)
#define def_k_chg_activation 5
//---@}
//---\defgroup neuron_base_opt Updating Weights Calculation kernel
//--- Describes the process of optimization weights for the Neuron Base.
//---\details Detailed description on <A HREF="https://www.mql5.com/ru/articles/8435#para43">the link.</A>
//--- For Adam optimization look <A HREF="https://www.mql5.com/ru/articles/8598#para31">the link.</A>
//---@{
/// Index SGD optomization Update weights kernel (#UpdateWeightsMomentum)
#define def_k_UpdateWeightsMomentum 3
/// SGD Weights matrix (m+1)*n, where m - number of neurons in previous layer and n - number of neurons in current layer
#define def_k_uwm_matrix_w 0
/// SGD Tensor of gradients at current layer
#define def_k_uwm_matrix_g 1
/// SGD Inputs tesor
#define def_k_uwm_matrix_i 2
/// SGD Matrix of delta weights in last correction
#define def_k_uwm_matrix_dw 3
/// SGD Number of inputs
#define def_k_uwm_inputs 4
/// SGD Learning rates
#define def_k_uwm_learning_rates 5
/// SGD Momentum multiplier
#define def_k_uwm_momentum 6
//---
/// Index Adam optomization Update weights kernel (#UpdateWeightsAdam)
#define def_k_UpdateWeightsAdam 4
/// Adam Weights matrix (m+1)*n, where m - number of neurons in previous layer and n - number of neurons in current layer
#define def_k_uwa_matrix_w 0
/// Adam Tensor of gradients at current layer
#define def_k_uwa_matrix_g 1
/// Adam Inputs tesor
#define def_k_uwa_matrix_i 2
/// Adam Matrix of first momentum
#define def_k_uwa_matrix_m 3
/// Adam Matrix of seconfd momentum
#define def_k_uwa_matrix_v 4
/// Adam Number of inputs
#define def_k_uwa_inputs 5
/// Adam Learning rates
#define def_k_uwa_l 6
/// Adam First momentum multiplier
#define def_k_uwa_b1 7
/// Adam Second momentum multiplier
#define def_k_uwa_b2 8
//---
/// Index Least Squares optomization Update weights kernel (#UpdateWeightsLS)
#define def_k_UpdateWeightsLS 28
/// Least Squares Weights matrix (m+1)*n, where m - number of neurons in previous layer and n - number of neurons in current layer
#define def_k_uwls_matrix_w 0
/// Least Squares Tensor of gradients at current layer
#define def_k_uwls_matrix_g 1
/// Least Squares Inputs tesor
#define def_k_uwls_matrix_i 2
/// Least Squares Matrix of summ x*g
#define def_k_uwls_matrix_xg 3
/// Least Squares Matrix of summ x*x
#define def_k_uwls_matrix_xx 4
/// Least Squares Number of inputs
#define def_k_uwls_inputs 5
/// Least Squares Learning rates
#define def_k_uwls_l 6
/// Least Squares Update flag
#define def_k_uwls_update 7
//---@}
//---@}
//---
//---\defgroup neuron_proof Pooling layer's neuron
//--- Describes the process for the Neuron of pooling layer.
//---@{
//---\defgroup neuron_proof_ff Pooling layer's neuron Feed Forward
//--- Describes the feed forward process for the Neuron of pooling layer.
//---@{
/// Index of the kernel of the Pooling neuron for Feed forward process (#FeedForwardProof)
#define def_k_FeedForwardProof 5
/// Inputs tesor
#define def_k_ffp_matrix_i 0
/// Output tensor
#define def_k_ffp_matrix_o 1
/// Number of inputs
#define def_k_ffp_inputs 2
/// Size of input window
#define def_k_ffp_window 3
/// Step size
#define def_k_ffp_step 4
//---@}
//---
//---\defgroup neuron_proof_gr Pooling layer's neuron Gradients Calculation kernels
//--- Describes the gradient calculation process for the Neuron of pooling layer.
//---@{
/// Index of the kernel of the Pooling neuron to transfer gradient to previous layer (#CalcInputGradientProof)
#define def_k_CalcInputGradientProof 6
/// Inputs tesor
#define def_k_cigp_matrix_i 0
/// Tensor of gradients at current layer
#define def_k_cigp_matrix_g 1
/// Output tensor
#define def_k_cigp_matrix_o 2
/// Tensor of gradients at previous layer
#define def_k_cigp_matrix_ig 3
/// Number of outputs
#define def_k_cigp_outputs 4
/// Size of input window
#define def_k_cigp_window 5
/// Step size
#define def_k_cigp_step 6
//---@}
//---@}
//---
//---\defgroup neuron_conv Convolution layer's neuron
//--- Describes the process for the Neuron of convolution layer.
//---@{
//---\defgroup neuron_conv_ff Convolution layer's neuron Feed Forward
//--- Describes the feed forward process for the Neuron of convolution layer.
//---@{
/// Index of the kernel of the convolution neuron for Feed forward process (#FeedForwardConv)
#define def_k_FeedForwardConv 7
/// Weights matrix (m+1)*n, where m - input window and n - output window
#define def_k_ffc_matrix_w 0
/// Inputs tesor
#define def_k_ffc_matrix_i 1
/// Output tensor
#define def_k_ffc_matrix_o 2
/// Number of inputs
#define def_k_ffc_inputs 3
/// Step size
#define def_k_ffc_step 4
/// Size of input window
#define def_k_ffc_window_in 5
/// Size of output window
#define def_k_ffс_window_out 6
/// Activation type (#ENUM_ACTIVATION)
#define def_k_ffc_activation 7
//---@}
//---
//---\defgroup neuron_conv_gr Convolution layer's neuron Gradients Calculation kernels
//--- Describes the gradient calculation process for the Neuron of convolution layer.
//---@{
/// Index of the kernel of the convolution neuron to transfer gradient to previous layer (#CalcHiddenGradientConv)
#define def_k_CalcHiddenGradientConv 8
/// Weights matrix (m+1)*n, where m - input window and n - output window
#define def_k_chgc_matrix_w 0
/// Tensor of gradients at current layer
#define def_k_chgc_matrix_g 1
/// Output tensor
#define def_k_chgc_matrix_o 2
/// Tensor of gradients at previous layer
#define def_k_chgc_matrix_ig 3
/// Number of outputs
#define def_k_chgc_outputs 4
/// Step size
#define def_k_chgc_step 5
/// Size of input window
#define def_k_chgc_window_in 6
/// Size of output window
#define def_k_chgc_window_out 7
/// Activation type (#ENUM_ACTIVATION)
#define def_k_chgc_activation 8
/// Activation type (#ENUM_ACTIVATION)
#define def_k_chgc_shift_out 9
//---@}
//---
//---\defgroup neuron_conv_opt Convolution layer's neuron Update weights kernels
//--- Describes the optimization process for the Neuron of convolution layer.
//---@{
/// Index of the kernel of the convolution neuron to update weights SGD (#UpdateWeightsConvMomentum)
#define def_k_UpdateWeightsConvMomentum 9
/// Weights matrix (m+1)*n, where m - input window and n - output window
#define def_k_uwcm_matrix_w 0
/// Tensor of gradients at current layer
#define def_k_uwcm_matrix_g 1
/// Inputs tesor
#define def_k_uwcm_matrix_i 2
/// Matrix of delta weights in last correction
#define def_k_uwcm_matrix_dw 3
/// Number of inputs
#define def_k_uwcm_inputs 4
/// Learning rates
#define def_k_uwcm_learning_rates 5
/// Momentum multiplier
#define def_k_uwcm_momentum 6
/// Size of input window
#define def_k_uwcm_window_in 7
/// Size of output window
#define def_k_uwcm_window_out 8
/// Step size
#define def_k_uwcm_step 9
//---
/// Index of the kernel of the convolution neuron to update weights Adam (#UpdateWeightsConvAdam)
#define def_k_UpdateWeightsConvAdam 10
/// Weights matrix (m+1)*n, where m - input window and n - output window
#define def_k_uwca_matrix_w 0
/// Tensor of gradients at current layer
#define def_k_uwca_matrix_g 1
/// Inputs tesor
#define def_k_uwca_matrix_i 2
/// Matrix of first momentum
#define def_k_uwca_matrix_m 3
/// Matrix of seconfd momentum
#define def_k_uwca_matrix_v 4
/// Number of inputs
#define def_k_uwca_inputs 5
/// Learning rates
#define def_k_uwca_l 6
/// First momentum multiplier
#define def_k_uwca_b1 7
/// Second momentum multiplier
#define def_k_uwca_b2 8
/// Size of input window
#define def_k_uwca_window_in 9
/// Size of output window
#define def_k_uwca_window_out 10
/// Step size
#define def_k_uwca_step 11
//---
/// Index of the kernel of the convolution neuron to update weights Least Squares(#UpdateWeightsConvLS)
#define def_k_UpdateWeightsConvLS 29
/// Weights matrix (m+1)*n, where m - input window and n - output window
#define def_k_uwcls_matrix_w 0
/// Tensor of gradients at current layer
#define def_k_uwcls_matrix_g 1
/// Inputs tesor
#define def_k_uwcls_matrix_i 2
/// Matrix of first momentum
#define def_k_uwcls_matrix_xg 3
/// Matrix of seconfd momentum
#define def_k_uwcls_matrix_xx 4
/// Number of inputs
#define def_k_uwcls_inputs 5
/// Learning rates
#define def_k_uwcls_l 6
/// Update flag
#define def_k_uwcls_update 7
/// Size of input window
#define def_k_uwcls_window_in 8
/// Size of output window
#define def_k_uwcls_window_out 9
/// Step size
#define def_k_uwcls_step 10
//---@}
//---@}
//---
//---\defgroup neuron_atten Attention layer's neuron
//--- Describes the process for the Neuron of attention layer.
//---\details Detailed description on <A HREF="https://www.mql5.com/ru/articles/8765#para4">the link.</A>
//---@{
//---\defgroup neuron_atten_ff Attention layer's neuron Feed Forward
//--- Describes the feed forward process for the Neuron of attention layer.
//---\details Detailed description on <A HREF="https://www.mql5.com/ru/articles/8765#para43">the link.</A>
//---@{
/// Index of the kernel of the attention neuron to calculate score matrix (#AttentionScore)
#define def_k_AttentionScore 11
/// Matrix of Querys
#define def_k_as_querys 0
/// Matriz of Keys
#define def_k_as_keys 1
/// Matrix of Scores
#define def_k_as_score 2
/// Dimension of Key
#define def_k_as_dimension 3
/// 1 - calc only previous units, 0 - calc all
#define def_k_as_mask 4
//---
/// Index of the Attention Neuron Output calculation kernel (#AttentionOut)
#define def_k_AttentionOut 12
/// Matrix of Scores
#define def_k_aout_scores 0
/// Matrix of Values
#define def_k_aout_values 1
/// Inputs tesor
#define def_k_aout_inputs 2
/// Output tesor
#define def_k_aout_out 3
//---
/// Index of the kernel for calculation Sum of 2 matrix with multiplyer (#SumMatrix)
#define def_k_MatrixSum 13
/// First matrix
#define def_k_sum_matrix1 0
/// Second matrix
#define def_k_sum_matrix2 1
/// Output matrix
#define def_k_sum_matrix_out 2
/// Dimension of matrix
#define def_k_sum_dimension 3
/// Multiplyer for output
#define def_k_sum_multiplyer 4
#define def_k_sum_shift_in1 5
#define def_k_sum_shift_in2 6
#define def_k_sum_shift_out 7
#define def_k_sum_numeric_flags 8
#define def_k_sum_flags_enabled 9
//---
/// Index of the kernel for calculation Sum of 2 matrix with multiplyer (#SumMatrix)
#define def_k_Matrix5Sum 19
/// First matrix
#define def_k_sum5_matrix1 0
/// Second matrix
#define def_k_sum5_matrix2 1
/// Third matrix
#define def_k_sum5_matrix3 2
/// Fourth matrix
#define def_k_sum5_matrix4 3
/// Fifth matrix
#define def_k_sum5_matrix5 4
/// Output matrix
#define def_k_sum5_matrix_out 5
/// Dimension of matrix
#define def_k_sum5_dimension 6
/// Multiplyer for output
#define def_k_sum5_multiplyer 7
//---
/// Index of the kernel of the multi-heads attention neuron to calculate score matrix (#MHAttentionScore)
#define def_k_MHAttentionScore 20
/// Matrix of Queries, Keys, Values
#define def_k_mhas_qkv 0
/// Matrix of Scores
#define def_k_mhas_score 1
/// Dimension of Key
#define def_k_mhas_dimension 2
/// 1 - calc only previous units, 0 - calc all
#define def_k_mhas_mask 3
//---
/// Index of the kernel of the multi-heads attention neuron to calculate multi-heads out matrix (#MHAttentionOut)
#define def_k_MHAttentionOut 21
/// Matrix of Scores
#define def_k_mhao_score 0
/// Matrix of Queries, Keys, Values
#define def_k_mhao_qkv 1
/// Matrix of Outputs
#define def_k_mhao_out 2
/// Dimension of Key
#define def_k_mhao_dimension 3
//---
/// Index of the Multi Head Attention Neuron Concatenate Output kernel (#ConcatenateBuffers)
#define def_k_ConcatenateMatrix 17
/// Matrix of Buffer 1
#define def_k_conc_input1 0
/// Window of Buffer 1
#define def_k_conc_window1 1
/// Matrix of Buffer 2
#define def_k_conc_input2 2
/// Window of Buffer 2
#define def_k_conc_window2 3
/// Matrix of Buffer 3
#define def_k_conc_input3 4
/// Window of Buffer 3
#define def_k_conc_window3 5
/// Matrix of Buffer 4
#define def_k_conc_input4 6
/// Window of Buffer 4
#define def_k_conc_window4 7
/// Output tesor
#define def_k_conc_out 8
//---@}
//---
//---\defgroup neuron_atten_gr Attention layer's neuron Gradients Calculation
//--- Describes the gradients calculation process for the Neuron of attention layer.
//---\details Detailed description on <A HREF="https://www.mql5.com/ru/articles/8765#para44">the link.</A>
//---@{
/// Index of the kernel for gradients calculation process (#AttentionInsideGradients)
#define def_k_AttentionGradients 14
/// Matrix of Querys
#define def_k_ag_querys 0
/// Matrix of Querys' Gradients
#define def_k_ag_querys_g 1
/// Matrix of Keys
#define def_k_ag_keys 2
/// Matrix of Keys' Gradients
#define def_k_ag_keys_g 3
/// Matrix of Values
#define def_k_ag_values 4
/// Matrix of Values' Gradients
#define def_k_ag_values_g 5
/// Matrix of Scores
#define def_k_ag_scores 6
/// Matrix of Gradients from previous iteration
#define def_k_ag_gradient 7
//---
/// Index of the Multi Head Attention Neuron Deconcatenate Output kernel (#DeconcatenateBuffers)
#define def_k_DeconcatenateMatrix 18
/// Matrix of Buffer 1
#define def_k_dconc_output1 0
/// Window of Buffer 1
#define def_k_dconc_window1 1
/// Matrix of Buffer 2
#define def_k_dconc_output2 2
/// Window of Buffer 2
#define def_k_dconc_window2 3
/// Matrix of Buffer 3
#define def_k_dconc_output3 4
/// Window of Buffer 3
#define def_k_dconc_window3 5
/// Matrix of Buffer 4
#define def_k_dconc_output4 6
/// Window of Buffer 4
#define def_k_dconc_window4 7
/// Input tesor
#define def_k_dconc_inputs 8
//---
/// Index of the kernel for gradients calculation process (#AttentionInsideGradients)
#define def_k_MHAttentionGradients 22
/// Matrix of Queries, Keys, Values
#define def_k_mhag_qkv 0
/// Matrix of Gradients to Queries, Keys, Values
#define def_k_mhag_qkv_g 1
/// Matrix of Scores
#define def_k_mhag_score 2
/// Matrix of Gradients from previous iteration
#define def_k_mhag_gradient 3
//---
/// Index of the kernel for Dropout process (#Dropout)
#define def_k_Dropout 23
/// Inputs Tensor
#define def_k_dout_input 0
/// Map Tensor
#define def_k_dout_map 1
/// Out Tensor
#define def_k_dout_out 2
/// Dimension of Inputs
#define def_k_dout_dimension 3
//---@}
//---@}
//---
//---\defgroup neuron_norm Kernels of matrix normalization process
//--- Describes the process of matrix normalization.
//---\details Detailed description on <A HREF="https://arxiv.org/abs/1607.06450">the link.</A>
//---@{
/// Index of the kernel for matrix normalization (#Normalize)
#define def_k_Normalize 15
/// In/Out Matrix
#define def_k_norm_buffer 0
/// Dimension of matrix
#define def_k_norm_dimension 1
//---
/// Index of the kernel for weights matrix normalization (#NormalizeWeights)
#define def_k_NormalizeWeights 16
//---
/// Index of the kernel for Batch Normalization Feed Forward process (#CNeuronBathcNormOCL)
#define def_k_BatchFeedForward 24
/// Inputs data tenzor
#define def_k_bff_inputs 0
/// Tenzor of variables
#define def_k_bff_options 1
/// Tenzor of output data
#define def_k_bff_output 2
/// Batch size
#define def_k_bff_batch 3
/// Optimization type
#define def_k_bff_optimization 4
/// Activation type
#define def_k_bff_activation 5
/// Training mode (stats are immutable in inference)
#define def_k_bff_training 6
//---
/// Index of the Kernel of the Batch neuron to transfer gradient to previous layer (#CNeuronBathcNormOCL)
#define def_k_CalcHiddenGradientBatch 25
/// [in] Options matrix m*(7 or 9), where m - Number of neurons in previous layer
#define def_k_bchg_options 0
/// [in] Tensor of gradients at current layer
#define def_k_bchg_matrix_g 1
/// [in] Tensor of previous layer output
#define def_k_bchg_matrix_i 2
/// [out] Tensor of gradients at previous layer
#define def_k_bchg_matrix_ig 3
/// Activation type (#ENUM_ACTIVATION)
#define def_k_bchg_activation 4
/// Batch size
#define def_k_bchg_batch 5
/// Optimization type
#define def_k_bchg_optimization 6
//---
/// Index of the kernel for Describe the process of SGD optimization options for the Batch normalization Neuron (#CNeuronBatchNormOCL).
#define def_k_UpdateBatchOptionsMomentum 26
/// [in] Options matrix m*(7 or 9), where m - Number of neurons in previous layer
#define def_k_buom_options 0
/// [in] Tensor of gradients at current layer
#define def_k_buom_matrix_g 1
/// Learning rates
#define def_k_buom_learning_rates 2
/// Momentum multiplier
#define def_k_buom_momentum 3
//---
/// Index of the kernel for Describe the process of Adam optimization options for the Batch normalization Neuron (#CNeuronBatchNormOCL).
#define def_k_UpdateBatchOptionsAdam 27
/// [in] Options matrix m*(7 or 9), where m - Number of neurons in previous layer
#define def_k_buoa_options 0
/// [in] Tensor of gradients at current layer
#define def_k_buoa_matrix_g 1
/// Learning rates
#define def_k_buoa_l 2
/// First momentum multiplier
#define def_k_buoa_b1 3
/// Second momentum multiplier
#define def_k_buoa_b2 4
//---@}
//---\defgroup VAE neuron Kernels of Variant Aoutoencodre
//--- Describes the process of Variant Aoutoencodre.
//---@{
#define def_k_VAEFeedForward 30
#define def_k_vaeff_inputs 0
#define def_k_vaeff_random 1
#define def_k_vaeff_outputd 2
#define def_k_vaeff_numeric_flags 3
#define def_k_vaeff_flags_enabled 4
//---
#define def_k_VAECalcHiddenGradient 31
#define def_k_vaehg_input 0
#define def_k_vaehg_inp_grad 1
#define def_k_vaehg_random 2
#define def_k_vaehg_gradient 3
#define def_k_vaehg_kld_mult 4
//---@}
//---\defgroup LSTM neuron Kernels of RNN unit
//--- Describes the process of RNN.
//---@{
#define def_k_LSTM_FeedForward 32
#define def_k_lstmff_inputs 0
#define def_k_lstmff_inputs_size 1
#define def_k_lstmff_weights 2
#define def_k_lstmff_concatenated 3
#define def_k_lstmff_memory 4
#define def_k_lstmff_outputs 5
//---
#define def_k_LSTM_ConcatenatedGradient 33
#define def_k_lstmcg_gradient 0
#define def_k_lstmcg_concatenated_gradient 1
#define def_k_lstmcg_memory 2
#define def_k_lstmcg_concatenated 3
//---
#define def_k_LSTM_HiddenGradient 34
#define def_k_lstmhg_concatenated_gradient 0
#define def_k_lstmhg_inputs_gradient 1
#define def_k_lstmhg_weights_gradient 2
#define def_k_lstmhg_hidden_state 3
#define def_k_lstmhg_inputs 4
#define def_k_lstmhg_weeights 5
#define def_k_lstmhg_output 6
#define def_k_lstmhg_hidden_size 7
#define def_k_lstmhg_inputs_size 8
//---
#define def_k_LSTM_UpdateWeightsAdam 35
#define def_k_lstmuw_weights 0
#define def_k_lstmuw_weights_gradient 1
#define def_k_lstmuw_matrix_m 2
#define def_k_lstmuw_matrix_v 3
#define def_k_lstmuw_l 4
#define def_k_lstmuw_b1 5
#define def_k_lstmuw_b2 6
//---@}
//---\defgroup SoftMax activation Kernels
//---@{
#define def_k_SoftMax_FeedForward 36
#define def_k_softmaxff_inputs 0
#define def_k_softmaxff_outputs 1
//---
#define def_k_SoftMax_HiddenGradient 37
#define def_k_softmaxhg_outputs 0
#define def_k_softmaxhg_output_gr 1
#define def_k_softmaxhg_input_gr 2
//---
#define def_k_SoftMax_OutputGradient 38
#define def_k_softmaxog_outputs 0
#define def_k_softmaxog_targets 1
#define def_k_softmaxog_output_gr 2
//---@}
//---\defgroup SoftMax activation Kernels
//---@{
#define def_k_FQF_Cosine 39
#define def_k_fqf_cosine_softmax 0
#define def_k_fqf_cosine_outputs 1
//---
#define def_k_FQF_Output 40
#define def_k_fqfout_quantiles 0
#define def_k_fqfout_delta_taus 1
#define def_k_fqfout_output 2
#define def_k_fqfout_total 3
//---
#define def_k_FQF_OutputGradient 41
#define def_k_fqfoutgr_quantiles 0
#define def_k_fqfoutgr_taus 1
#define def_k_fqfoutgr_output_gr 2
#define def_k_fqfoutgr_quantiles_gr 3
#define def_k_fqfoutgr_taus_gr 4
//---
#define def_k_FQF_QuantileGradient 42
#define def_k_fqfqgr_state_enbeding 0
#define def_k_fqfqgr_taus_embedding 1
#define def_k_fqfqgr_quantiles_gr 2
#define def_k_fqfqgr_state_gr 3
#define def_k_fqfqgr_taus_gr 4
//---
#define def_k_FQF_CosineGradient 43
#define def_k_fqfcosgr_softmax 0
#define def_k_fqfcosgr_output_gr 1
#define def_k_fqfcosgr_softmax_gr 2
//---
#define def_k_FQF_DistributionTargetGradient 320
#define def_k_fqfdtg_quantiles 0
#define def_k_fqfdtg_probabilities 1
#define def_k_fqfdtg_quantiles_gr 2
#define def_k_fqfdtg_probabilities_gr 3
#define def_k_fqfdtg_target 4
#define def_k_fqfdtg_probability_weight 5
#define def_k_fqfdtg_value_weight 6
//---
#define def_k_FQF_Sample 321
#define def_k_fqfs_quantiles 0
#define def_k_fqfs_probabilities 1
#define def_k_fqfs_random 2
#define def_k_fqfs_result 3
//---
#define def_k_FQF_SRMForward 322
#define def_k_fqfsrm_quantiles 0
#define def_k_fqfsrm_probabilities 1
#define def_k_fqfsrm_result 2
#define def_k_fqfsrm_risk_type 3
#define def_k_fqfsrm_risk_parameter 4
#define def_k_fqfsrm_mean_weight 5
//--- Spectral Risk Measure types (FQF_SRMForward)
#define defSRM_MEAN 0
/// lower-tail RETURN CVaR (risk_variable=return): E[R | R in the lower alpha tail]; the Actor maximizes it
#define defSRM_CVAR 1
#define defSRM_MEAN_CVAR 2
#define defSRM_EXPONENTIAL 3
#define defSRM_DUAL_POWER 4
/// Must match LOCAL_ARRAY_SIZE of NeuroNet.cl
#define defFQF_LOCAL_ARRAY_SIZE 64
//---
#define def_k_FQF_SRMGradient 323
#define def_k_fqfsrmg_quantiles 0
#define def_k_fqfsrmg_probabilities 1
#define def_k_fqfsrmg_result_gradient 2
#define def_k_fqfsrmg_quantiles_gradient 3
#define def_k_fqfsrmg_probabilities_gradient 4
#define def_k_fqfsrmg_risk_type 5
#define def_k_fqfsrmg_risk_parameter 6
#define def_k_fqfsrmg_mean_weight 7
//---
#define def_k_FQF_FractionGradient 324
#define def_k_fqffg_matrix_w 0
#define def_k_fqffg_matrix_g 1
#define def_k_fqffg_matrix_ig 2
#define def_k_fqffg_outputs 3
#define def_k_FQF_CosineGradientSRM 325
//---
#define def_k_FQF_MonotoneRearrange 326
#define def_k_fqfmon_quantiles 0
#define def_k_fqfmon_probabilities 1
#define def_k_fqfmon_ordered_quantiles 2
#define def_k_fqfmon_ordered_probabilities 3
#define def_k_fqfmon_order 4
#define def_k_fqfmon_diagnostics 5
//---
#define def_k_FQF_RearrangeGradient 327
#define def_k_fqfrg_ordered_quantiles_gradient 0
#define def_k_fqfrg_ordered_probabilities_gradient 1
#define def_k_fqfrg_order 2
#define def_k_fqfrg_quantiles_gradient 3
#define def_k_fqfrg_probabilities_gradient 4
//---
//--- FQF probability/numerical contract tolerances (MQL5 side)
/// Max |sum(p)-1| before the SRM probability contract is violated
#define defFQF_PROBABILITY_TOLERANCE 1.0e-3f
/// Float tolerance for Phi(tau_high) >= Phi(tau_low) - eps
#define defFQF_SPECTRAL_EPS 1.0e-4f
/// |tau - alpha| below this counts a CVaR break-point hit
#define defFQF_KINK_EPS 1.0e-5f
/// Floats per task in the FQF_MonotoneRearrange diagnostics row
#define defFQF_DIAGNOSTIC_FLOATS 6
//---
//---
/// Index of the kernel of the multi-heads sparse attention neuron to calculate score matrix (#MHSparseAttentionScore)
#define def_k_MHSparseAttentionScore 44
/// less than 1.0 сoefficient of sparse
#define def_k_mhas_sparse 3
//---
/// Index of the kernel of the multi-heads sparse attention neuron to calculate multi-heads out matrix (#MHSparseAttentionOut)
#define def_k_MHSparseAttentionOut 45
//---
/// Index of the kernel of the multi-models neuron to calculate feed forward
#define def_k_FFMultiModels 46
/// Index of the kernel of the multi-models neuron to calculate hiden gradient
#define def_k_HGMultiModels 47
/// Number of model to calculate
#define def_k_chg_model 6
/// Index of the kernel of the multi-models neuron to update weights
#define def_k_UWMultiModels 48
/// Number of model to update
#define def_k_uwa_model 9
//---@}
//---@}
/// Index of #FeedForward kernel
#define def_k_ConcatFeedForward 49
/// Weights matrix (m+1)*n, where m - number of neurons in layer and n - number of outputs (neurons in next layer)
#define def_k_cff_matrix_w 0
/// Inputs tesor
#define def_k_cff_matrix_i1 1
/// Inputs tesor
#define def_k_cff_matrix_i2 2
/// Output tensor
#define def_k_cff_matrix_o 3
/// Number of inputs
#define def_k_cff_inputs1 4
/// Number of inputs
#define def_k_cff_inputs2 5
/// Activation type (#ENUM_ACTIVATION)
#define def_k_cff_activation 6
//---
/// Index of Hidden gradients calculation kernel (#CalcHiddenGradient)
#define def_k_ConcatCalcHiddenGradient 50
/// Weights matrix (m+1)*n, where m - number of neurons in previous layer and n - number of neurons in current layer
#define def_k_cchg_matrix_w 0
/// Tensor of gradients at current layer
#define def_k_cchg_matrix_g 1
/// Output tensor
#define def_k_cchg_matrix_o1 2
/// Output tensor
#define def_k_cchg_matrix_o2 3
/// Tensor of gradients at previous layer
#define def_k_cchg_matrix_ig1 4
/// Tensor of gradients at previous layer
#define def_k_cchg_matrix_ig2 5
/// Number of outputs
#define def_k_cchg_outputs 6
/// Number of inputs1
#define def_k_cchg_inputs1 7
/// Number of inputs2
#define def_k_cchg_inputs2 8
/// Activation type (#ENUM_ACTIVATION)
#define def_k_cchg_activation1 9
/// Activation type (#ENUM_ACTIVATION)
#define def_k_cchg_activation2 10
//---
/// Index SGD optomization Update weights kernel (#UpdateWeightsMomentum)
#define def_k_ConcatUpdWeightsMomentum 51
/// SGD Weights matrix (m+1)*n, where m - number of neurons in previous layer and n - number of neurons in current layer
#define def_k_cuwm_matrix_w 0
/// SGD Tensor of gradients at current layer
#define def_k_cuwm_matrix_g 1
/// SGD Inputs tesor
#define def_k_cuwm_matrix_i1 2
/// SGD Inputs tesor
#define def_k_cuwm_matrix_i2 3
/// SGD Matrix of delta weights in last correction
#define def_k_cuwm_matrix_dw 4
/// SGD Number of inputs
#define def_k_cuwm_inputs1 5
/// SGD Number of inputs
#define def_k_cuwm_inputs2 6
/// SGD Learning rates
#define def_k_cuwm_learning_rates 7
/// SGD Momentum multiplier
#define def_k_cuwm_momentum 8
//---
/// Index Adam optomization Update weights kernel (#UpdateWeightsAdam)
#define def_k_ConcatUpdWeightsAdam 52
/// Adam Weights matrix (m+1)*n, where m - number of neurons in previous layer and n - number of neurons in current layer
#define def_k_cuwa_matrix_w 0
/// Adam Tensor of gradients at current layer
#define def_k_cuwa_matrix_g 1
/// Adam Inputs tesor
#define def_k_cuwa_matrix_i1 2
/// Adam Inputs tesor
#define def_k_cuwa_matrix_i2 3
/// Adam Matrix of first momentum
#define def_k_cuwa_matrix_m 4
/// Adam Matrix of seconfd momentum
#define def_k_cuwa_matrix_v 5
/// Adam Number of inputs
#define def_k_cuwa_inputs1 6
/// Adam Number of inputs
#define def_k_cuwa_inputs2 7
/// Adam Learning rates
#define def_k_cuwa_l 8
/// Adam First momentum multiplier
#define def_k_cuwa_b1 9
/// Adam Second momentum multiplier
#define def_k_cuwa_b2 10
//---
#define def_k_SoftUpdate 53
#define def_k_su_target 0
#define def_k_su_source 1
#define def_k_su_tau 2
//---
#define def_k_SoftUpdateAdam 54
#define def_k_sua_target 0
#define def_k_sua_source 1
#define def_k_sua_matrix_m 2
#define def_k_sua_matrix_v 3
#define def_k_sua_tau 4
#define def_k_sua_b1 5
#define def_k_sua_b2 6
//---
#define def_k_SAC_AlphaLogProbs 55
#define def_k_sac_alp_outputs 0
#define def_k_sac_alp_quantiles 1
#define def_k_sac_alp_probs 2
#define def_k_sac_alp_alphas 3
#define def_k_sac_alp_log_probs 4
#define def_k_sac_alp_random 5
#define def_k_sac_alp_count_quants 6
#define def_k_sac_alp_activation 7
//---
#define def_k_SAC_AlphaGradients 56
#define def_k_sac_alg_outputs 0
#define def_k_sac_alg_gradient 1
#define def_k_sac_alg_log_probs 2
#define def_k_sac_alg_alphas_grad 3
#define def_k_sac_alg_activation 4
//---
#define def_k_SAC_OutputGradient 57
#define def_k_sacoutgr_quantiles 0
#define def_k_sacoutgr_taus 1
#define def_k_sacoutgr_output_gr 2
#define def_k_sacoutgr_quantiles_gr 3
#define def_k_sacoutgr_taus_gr 4
#define def_k_sacoutgr_outputs 5
#define def_k_sacoutgr_count_quants 6
#define def_k_sacoutgr_activation 7
//---
#define def_k_SAC_CalcLogProbs 58
#define def_k_sacclp_outputs 0
#define def_k_sacclp_quantiles 1
#define def_k_sacclp_probs 2
#define def_k_sacclp_alphas 3
#define def_k_sacclp_log_probs 4
#define def_k_sacclp_count_quants 5
#define def_k_sacclp_activation 6
//---
#define def_k_Embedding 59
#define def_k_emb_inputs 0
#define def_k_emb_outputs 1
#define def_k_emb_weights 2
#define def_k_emb_windows 3
#define def_k_emb_std 4
#define def_k_emb_stack_size 5
//---
#define def_k_EmbeddingHiddenGradient 60
#define def_k_ehg_inputs_gradient 0
#define def_k_ehg_outputs_gradient 1
#define def_k_ehg_weights 2
#define def_k_ehg_windows 3
#define def_k_ehg_std 4
#define def_k_ehg_window_out 5
//---
#define def_k_EmbeddingUpdateWeightsAdam 61
#define def_k_euw_weights 0
#define def_k_euw_gradient 1
#define def_k_euw_inputs 2
#define def_k_euw_matrix_m 3
#define def_k_euw_matrix_v 4
#define def_k_euw_windows 5
#define def_k_euw_std 6
#define def_k_euw_window_out 7
#define def_k_euw_learning_rate 8
#define def_k_euw_b1 9
#define def_k_euw_b2 10
//---
#define def_k_Transpose 62
#define def_k_tr_matrix_in 0
#define def_k_tr_matrix_out 1
//---
#define def_k_MH2AttentionOut 63
/// Matrix of Queries
#define def_k_mh2ao_q 0
/// Matrix of Keys, Values
#define def_k_mh2ao_kv 1
/// Matrix of Scores
#define def_k_mh2ao_score 2
/// Matrix of Outputs
#define def_k_mh2ao_out 3
/// Dimension of Key
#define def_k_mh2ao_dimension 4
/// Heads of Key
#define def_k_mh2ao_heads_kv 5
/// mask 1 - calc only previous units, 0 - calc all
#define def_k_mh2ao_mask 6
//---
#define def_k_MH2AttentionInsideGradients 64
/// Matrix of Queries
#define def_k_mh2aig_q 0
/// Matrix of Queries gradient
#define def_k_mh2aig_qg 1
/// Matrix of Keys, Values
#define def_k_mh2aig_kv 2
/// Matrix of Keys, Values gradient
#define def_k_mh2aig_kvg 3
/// Matrix of Scores
#define def_k_mh2aig_score 4
/// Matrix of Outputs gradient
#define def_k_mh2aig_outg 5
/// Size of Key
#define def_k_mh2aig_kunits 6
/// Heads of Key
#define def_k_mh2aig_heads_kv 7
//---
#define def_k_CGConv_HiddenGradient 65
/// [in] Tensor of gradients at current layer
#define def_k_cgc_matrix_g 0
/// [in] Previous layer Output tensor
#define def_k_cgc_matrix_f 1
/// [in] Previous layer Output tensor
#define def_k_cgc_matrix_s 2
/// [out] Tensor of gradients at previous layer
#define def_k_cgc_matrix_fg 3
/// [out] Tensor of gradients at previous layer
#define def_k_cgc_matrix_sg 4
/// Activation type (#ENUM_ACTIVATION)
#define def_k_cgc_activationf 5
/// Activation type (#ENUM_ACTIVATION)
#define def_k_cgc_activations 6
//---
#define def_k_XCiTFeedForward 66
#define def_k_XCiTff_qkv 0
#define def_k_XCiTff_score 1
#define def_k_XCiTff_out 2
//---
#define def_k_XCiTInsideGradients 67
#define def_k_XCiTig_qkv 0
#define def_k_XCiTig_qkv_g 1
#define def_k_XCiTig_scores 2
#define def_k_XCiTig_gradient 3
//---
#define def_k_DOTFeedForward 68
#define def_k_dot_qkv 0
#define def_k_dot_score 1
#define def_k_dot_rpb 2
#define def_k_dot_out 3
//---
#define def_k_DOTInsideGradients 69
#define def_k_dotg_qkv 0
#define def_k_dotg_qkv_g 1
#define def_k_dotg_scores 2
#define def_k_dotg_rpb 3
#define def_k_dotg_rpb_g 4
#define def_k_dotg_gradient 5
//---
#define def_k_RPBUpdateAdam 70
#define def_k_rpbw_rpb 0
#define def_k_rpbw_gradient 1
#define def_k_rpbw_matrix_m 2
#define def_k_rpbw_matrix_v 3
#define def_k_rpbw_b1 4
#define def_k_rpbw_b2 5
//---
#define def_k_GTEFeedForward 71
#define def_k_gteff_qkv 0
#define def_k_gteff_score 1
#define def_k_gteff_out 2
#define def_k_gteff_dimension 3
//---
#define def_k_GTEInsideGradients 72
#define def_k_gteig_qkv 0
#define def_k_gteig_qkv_g 1
#define def_k_gteig_scores 2
#define def_k_gteig_gradient 3
//---
#define def_k_FeedForwardNODEInpK 73
#define def_k_ffdopriInp_matrix_i 0
#define def_k_ffdopriInp_matrix_k1 1
#define def_k_ffdopriInp_matrix_k2 2
#define def_k_ffdopriInp_matrix_k3 3
#define def_k_ffdopriInp_matrix_k4 4
#define def_k_ffdopriInp_matrix_k5 5
#define def_k_ffdopriInp_matrix_k6 6
#define def_k_ffdopriInp_matrix_beta 7
#define def_k_ffdopriInp_matrix_o 8
//---
#define def_k_FeedForwardNODEF 74
#define def_k_ffdoprif_matrix_w 0
#define def_k_ffdoprif_matrix_i 1
#define def_k_ffdoprif_matrix_o 2
#define def_k_ffdoprif_dimension 3
#define def_k_ffdoprif_step 4
#define def_k_ffdoprif_activation 5
//---
#define def_k_HiddenGradientNODEInpK 75
//---
#define def_k_HiddenGradientNODEF 76
#define def_k_hddoprif_matrix_w 0
#define def_k_hddoprif_matrix_g 1
#define def_k_hddoprif_matrix_i 2
#define def_k_hddoprif_matrix_ig 3
#define def_k_hddoprif_dimension_out 4
#define def_k_hddoprif_activation 5
//---
#define def_k_NODEF_UpdateWeightsAdam 77
#define def_k_uwdoprif_matrix_w 0
#define def_k_uwdoprif_matrix_gk1 1
#define def_k_uwdoprif_matrix_gk2 2
#define def_k_uwdoprif_matrix_gk3 3
#define def_k_uwdoprif_matrix_gk4 4
#define def_k_uwdoprif_matrix_gk5 5
#define def_k_uwdoprif_matrix_gk6 6
#define def_k_uwdoprif_matrix_ik1 7
#define def_k_uwdoprif_matrix_ik2 8
#define def_k_uwdoprif_matrix_ik3 9
#define def_k_uwdoprif_matrix_ik4 10
#define def_k_uwdoprif_matrix_ik5 11
#define def_k_uwdoprif_matrix_ik6 12
#define def_k_uwdoprif_matrix_m 13
#define def_k_uwdoprif_matrix_v 14
#define def_k_uwdoprif_alpha 15
#define def_k_uwdoprif_lenth 16
#define def_k_uwdoprif_l 17
#define def_k_uwdoprif_b1 18
#define def_k_uwdoprif_b2 19
//---
#define def_k_TimeDerivative 78
#define def_k_tdqkv 0
#define def_k_tddqkv 1
#define def_k_tddimension 2
//---
#define def_k_HGTimeDerivative 79
//---
#define def_k_FeedForwardContAtt 80
#define def_k_caqkv 0
#define def_k_cadqkv 1
#define def_k_cascore 2
#define def_k_caout 3
#define def_k_cadimension 4
#define def_k_caheads 5
//---
#define def_k_HiddenGradientContAtt 81
#define def_k_hgcaqkv 0
#define def_k_hgcaqkv_g 1
#define def_k_hgcadqkv 2
#define def_k_hgcadqkv_g 3
#define def_k_hgcascore 4
#define def_k_hgcaout_g 5
#define def_k_hgcadimension 6
//---
#define def_k_RevInFeedForward 82
#define def_k_revffinputs 0
#define def_k_revffoptions 1
#define def_k_revffoutput 2
#define def_k_revffoptions_size 3
#define def_k_revffoptimization 4
//---
#define def_k_RevInHiddenGraddient 83
#define def_k_revhginputs 0
#define def_k_revhginputs_gr 1
#define def_k_revhgoptions 2
#define def_k_revhgoutput_gr 3
#define def_k_revhgoptions_size 4
#define def_k_revhgoptimization 5
#define def_k_revhgactivation 6
//---
#define def_k_DeActivation 84
#define def_k_deact_inputs 0
#define def_k_deact_inputs_gr 1
#define def_k_deact_output_gr 2
#define def_k_deact_activation 3
//---
#define def_k_PatchCreate 85
#define def_k_ptc_inputs 0
#define def_k_ptc_weights 1
#define def_k_ptc_outputs 2
#define def_k_ptc_inputs_total 3
#define def_k_ptc_window_in 4
#define def_k_ptc_step 5
#define def_k_ptc_activation 6
//---
#define def_k_PatchHiddenGradient 86
#define def_k_pthg_inputs 0
#define def_k_pthg_inputs_gr 1
#define def_k_pthg_weights 2
#define def_k_pthg_outputs_gr 3
#define def_k_pthg_window_in 4
#define def_k_pthg_step 5
#define def_k_pthg_window_out 6
#define def_k_pthg_outputs_total 7
#define def_k_pthg_activation 8
//---
#define def_k_PatchUpdateWeightsAdam 87
#define def_k_ptuwa_weights 0
#define def_k_ptuwa_outputs_gr 1
#define def_k_ptuwa_inputs 2
#define def_k_ptuwa_weights_m 3
#define def_k_ptuwa_weights_v 4
#define def_k_ptuwa_inputs_total 5
#define def_k_ptuwa_l 6
#define def_k_ptuwa_b1 7
#define def_k_ptuwa_b2 8
#define def_k_ptuwa_step 9
//---
#define def_k_MatMult 88
#define def_k_mm_matr1 0
#define def_k_mm_matr2 1
#define def_k_mm_result 2
#define def_k_mm_dimension 3
#define def_k_mm_multvarsecond 4
#define def_k_mm_offset_matr1 5
#define def_k_mm_offset_matr2 6
#define def_k_mm_offset_result 7
#define def_k_mm_numeric_flags 8
#define def_k_mm_flags_enabled 9
//---
#define def_k_FFT 89
#define def_k_fft_inputs_re 0
#define def_k_fft_inputs_im 1
#define def_k_fft_outputs_re 2
#define def_k_fft_outputs_im 3
#define def_k_fft_input_window 4
#define def_k_fft_input_complex 5
#define def_k_fft_output_window 6
#define def_k_fft_reverse 7
//---
#define def_k_ComplexLayer 90
#define def_k_cl_inputs_re 0
#define def_k_cl_inputs_im 1
#define def_k_cl_outputs_re 2
#define def_k_cl_outputs_im 3
//---
#define def_k_ComplexLayerGradient 91
//---
#define def_k_GradientMSA 92
#define def_k_gmsa_target 0
#define def_k_gmsa_forecast 1
#define def_k_gmsa_gradient 2
//---
#define def_k_CumulativeGradient 93
#define def_k_cg_gradient1 0
#define def_k_cg_gradient2 1
#define def_k_cg_gradient_out 2
#define def_k_cg_alpha 3
//---
#define def_k_FeedForwardComplexConv 94
#define def_k_CalcHiddenGradientComplexConv 95
#define def_k_UpdateWeightsComplexConvMomentum 96
#define def_k_UpdateWeightsComplexConvAdam 97
#define def_k_ComplexMHAttentionGradients 98
#define def_k_ComplexMHAttentionScore 99
#define def_k_ComplexMHAttentionOut 100
#define def_k_ComplexSoftMax_FeedForward 101
#define def_k_ComplexSoftMax_HiddenGradient 102
#define def_k_ComplexSoftMax_OutputGradient 103
//---
#define def_k_ComplexNormalize 104
#define def_k_cn_inputs 0
#define def_k_cn_outputs 1
#define def_k_cn_means 2
#define def_k_cn_vars 3
#define def_k_cn_dimension 4
//---
#define def_k_ComplexUnNormalize 105
//---
#define def_k_ComplexNormalizeGradient 106
#define def_k_cng_inputs_gr 0
#define def_k_cng_outputs_gr 1
#define def_k_cng_vars 2
#define def_k_cng_dimension 3
//---
#define def_k_ComplexUnNormalizeGradient 107
//---
#define def_k_MainFreqWeight 108
#define def_k_mfw_freq 0
#define def_k_mfw_weight 1
#define def_k_mfw_dimension 2
//---
#define def_k_WeightedSum 109
#define def_k_ws_inputs1 0
#define def_k_ws_inputs2 1
#define def_k_ws_outputs 2
#define def_k_ws_weight 3
#define def_k_ws_dimension 4
//---
#define def_k_WeightedSumGradient 110
//---
#define def_k_FeedForwardS3 111
#define def_k_s3_inputs 0
#define def_k_s3_probability 1
#define def_k_s3_weights 2
#define def_k_s3_outputs 3
#define def_k_s3_positions 4
#define def_k_s3_window 5
#define def_k_s3_total 6
//---
#define def_k_InsideGradientS3 112
#define def_k_s3g_inputs 0
#define def_k_s3g_inputs_gr 1
#define def_k_s3g_probability 2
#define def_k_s3g_probability_gr 3
#define def_k_s3g_weights 4
#define def_k_s3g_outputs_gr 5
#define def_k_s3g_positions 6
#define def_k_s3g_window 7
#define def_k_s3g_total 8
//---
#define def_k_WeightGradientS3 113
#define def_k_s3w_inputs 0
#define def_k_s3w_positions 1
#define def_k_s3w_outputs_gr 2
#define def_k_s3w_weights_gr 3
#define def_k_s3w_window 4
#define def_k_s3w_total 5
//---
#define def_k_MH2PyrAttentionOut 114
#define def_k_pam_q 0
#define def_k_pam_kv 1
#define def_k_pam_score 2
#define def_k_pam_out 3
#define def_k_pam_dimension 4
#define def_k_pam_heads_kv 5
#define def_k_pam_window 6
//---
#define def_k_PLR 115
#define def_k_plr_inputs 0
#define def_k_plr_outputs 1
#define def_k_plt_isttp 2
#define def_k_plr_transpose 3
#define def_k_plr_step 4
//---
#define def_k_PLRGrad 116
#define def_k_plrg_inputs_gr 0
#define def_k_plrg_outputs 1
#define def_k_plrg_outputs_gr 2
#define def_k_plrg_transpose 3
//---
#define def_k_UpdateWeightsAdamMini 117
#define def_k_wuam_matrix_w 0
#define def_k_wuam_matrix_g 1
#define def_k_wuam_matrix_i 2
#define def_k_wuam_matrix_m 3
#define def_k_wuam_matrix_v 4
#define def_k_wuam_l 5
#define def_k_wuam_b1 6
#define def_k_wuam_b2 7
//---
#define def_k_UpdateWeightsConvAdamMini 118
#define def_k_wucam_matrix_w 0
#define def_k_wucam_matrix_g 1
#define def_k_wucam_matrix_i 2
#define def_k_wucam_matrix_m 3
#define def_k_wucam_matrix_v 4
#define def_k_wucam_inputs 5
#define def_k_wucam_l 6
#define def_k_wucam_b1 7
#define def_k_wucam_b2 8
#define def_k_wucam_step 9
//---
#define def_k_CutTrendAndOther 119
#define def_k_ct_inputs 0
#define def_k_ct_plr 1
#define def_k_ct_trend 2
#define def_k_ct_other 3
//---
#define def_k_CutTrendAndOtherGradient 120
#define def_k_ctg_inputs_gr 0
#define def_k_ctg_plr 1
#define def_k_ctg_plr_gr 2
#define def_k_ctg_trend_gr 3
#define def_k_ctg_other_gr 4
//---
#define def_k_CutOneFromAnother 121
#define def_k_ctofa_inputs 0
#define def_k_ctofa_cut 1
#define def_k_ctofa_other 2
//---
#define def_k_CutOneFromAnotherGradient 122
//---
#define def_k_UniTrajPrepare 123
#define def_k_utp_history 0
#define def_k_utp_h_mask 1
#define def_k_utp_future 2
#define def_k_utp_f_mask 3
#define def_k_utp_output 4
#define def_k_utp_h_total 5
#define def_k_utp_f_total 6
//---
#define def_k_UniTrajPrepareGrad 124
#define def_k_utpg_history_gr 0
#define def_k_utpg_future_gr 1
#define def_k_utpg_output 2
#define def_k_utpg_output_gr 3
#define def_k_utpg_h_total 4
#define def_k_utpg_f_total 5
//---
#define def_k_UniTrajBTS 125
#define def_k_utbts_concat_inp 0
#define def_k_utbts_d_forw 1
#define def_k_utbts_d_bakw 2
#define def_k_utbts_total 3
//---
#define def_k_GateElementMul 126
#define def_k_gem_inputs1 0
#define def_k_gem_inputs2 1
#define def_k_gem_gate 2
#define def_k_gem_out 3
#define def_k_gem_numeric_flags 4
#define def_k_gem_flags_enabled 5
//---
#define def_k_GateElementMulGrad 127
#define def_k_gemg_inputs1 0
#define def_k_gemg_inputs1_gr 1
#define def_k_gemg_inputs2 2
#define def_k_gemg_inputs2_gr 3
#define def_k_gemg_gate 4
#define def_k_gemg_gate_gr 5
#define def_k_gemg_out 6
#define def_k_gemg_activ1 7
#define def_k_gemg_activ2 8
#define def_k_gemg_activ_gr 9
//---
#define def_k_HiVTPrepare 128
#define def_k_hivtp_data 0
#define def_k_hivtp_output 1
//---
#define def_k_TransposeRCD 129
//---
#define def_k_MatMultGrad 130
#define def_k_mmg_matr1 0
#define def_k_mmg_matr1_gr 1
#define def_k_mmg_matr2 2
#define def_k_mmg_matr2_gr 3
#define def_k_mmg_result_gr 4
#define def_k_mmg_dimension 5
#define def_k_mmg_multvarsecond 6
#define def_k_mmg_offset_matr1 7
#define def_k_mmg_offset_matr1_gr 8
#define def_k_mmg_offset_matr2 9
#define def_k_mmg_offset_matr2_gr 10
#define def_k_mmg_offset_result_gr 11
//---
#define def_k_OrthoganalLoss 131
#define def_k_ol_data 0
#define def_k_ol_grad 1
#define def_k_ol_add 2
//---
#define def_k_CalcDistance 132
#define def_k_cd_data 0
#define def_k_cd_distance 1
#define def_k_cd_dimension 2
#define def_k_cd_groups 3
#define def_k_cd_normalize 4
#define def_k_cd_numeric_flags 5
#define def_k_cd_flags_enabled 6
//---
#define def_k_FeedForwardLocalMax 133
#define def_k_fflm_matrix_i 0
#define def_k_fflm_distance 1
#define def_k_fflm_matrix_o 2
#define def_k_fflm_radius 3
//---
#define def_k_CalcInputGradientLocalMax 134
#define def_k_cglm_matrix_i 0
#define def_k_cglm_matrix_ig 1
#define def_k_cglm_distance 2
#define def_k_cglm_matrix_o 3
#define def_k_cglm_matrix_g 4
#define def_k_cglm_radius 5
//---
#define def_k_MHMaskAttentionOut 135
#define def_k_mask_at_q 0
#define def_k_mask_at_kv 1
#define def_k_mask_at_score 2
#define def_k_mask_at_mask 3
#define def_k_mask_at_out 4
#define def_k_mask_at_dimension 5
#define def_k_mask_at_heads_kv 6
#define def_k_mask_at_mask_level 7
//---
#define def_k_MHMaskAttentionInsideGradients 136
#define def_k_mask_atg_q 0
#define def_k_mask_atg_q_g 1
#define def_k_mask_atg_kv 2
#define def_k_mask_atg_kv_g 3
#define def_k_mask_atg_mask 4
#define def_k_mask_atg_mask_g 5
#define def_k_mask_atg_scores 6
#define def_k_mask_atg_gradient 7
#define def_k_mask_atg_kunits 8
#define def_k_mask_atg_heads_kv 9
#define def_k_mask_atg_mask_level 10
//---
#define def_k_CalcPositionBias 137
#define def_k_cpb_data1 0
#define def_k_cpb_data2 1
#define def_k_cpb_result 2
#define def_k_cpb_dimension 3
//---
#define def_k_MHPosBiasAttentionOut 138
#define def_k_pbao_q 0
#define def_k_pbao_k 1
#define def_k_pbao_v 2
#define def_k_pbao_score 3
#define def_k_pbao_pos_bias 4
#define def_k_pbao_out 5
#define def_k_pbao_dimension 6
#define def_k_pbao_heads_kv 7
#define def_k_pbao_use_pos_bias 8
//---
#define def_k_MHPosBiasAttentionInsideGradients 139
#define def_k_pbaog_q 0
#define def_k_pbaog_q_g 1
#define def_k_pbaog_k 2
#define def_k_pbaog_k_g 3
#define def_k_pbaog_v 4
#define def_k_pbaog_v_g 5
#define def_k_pbaog_scores 6
#define def_k_pbaog_gradient 7
#define def_k_pbaog_kunits 8
#define def_k_pbaog_heads_kv 9
//---
#define def_k_DiversityLoss 140
#define def_k_dl_data 0
#define def_k_dl_grad 1
#define def_k_dl_dimension 2
#define def_k_dl_activation 3
#define def_k_dl_add 4
//---
#define def_k_MHRelativeAttentionOut 141
#define def_k_rat_q 0
#define def_k_rat_k 1
#define def_k_rat_v 2
#define def_k_rat_bk 3
#define def_k_rat_bv 4
#define def_k_rat_gc 5
#define def_k_rat_gp 6
#define def_k_rat_score 7
#define def_k_rat_out 8
#define def_k_rat_dimension 9
//---
#define def_k_MHRelativeAttentionInsideGradients 142
#define def_k_ratg_q 0
#define def_k_ratg_q_g 1
#define def_k_ratg_k 2
#define def_k_ratg_k_g 3
#define def_k_ratg_v 4
#define def_k_ratg_v_g 5
#define def_k_ratg_bk 6
#define def_k_ratg_bk_g 7
#define def_k_ratg_bv 8
#define def_k_ratg_bv_g 9
#define def_k_ratg_gc 10
#define def_k_ratg_gc_g 11
#define def_k_ratg_gp 12
#define def_k_ratg_gp_g 13
#define def_k_ratg_scores 14
#define def_k_ratg_gradient 15
#define def_k_ratg_kunits 16
//---
#define def_k_CalcAlignmentGradient 143
#define def_k_aliggr_matrix_o1 0
#define def_k_aliggr_matrix_o2 1
#define def_k_aliggr_matrix_g1 2
#define def_k_aliggr_matrix_g2 3
#define def_k_aliggr_activation 4
#define def_k_aliggr_add 5
//---
#define def_k_FeatureSmoothing 144
#define def_k_fs_feature 0
#define def_k_fs_outputs 1
#define def_k_fs_smoothing 2
//---
#define def_k_FeatureSmoothingGradient 145
//---
#define def_k_BatchFeedForwardAddNoise 146
#define def_k_normwithnoise_inputs 0
#define def_k_normwithnoise_options 1
#define def_k_normwithnoise_noise 2
#define def_k_normwithnoise_output 3
#define def_k_normwithnoise_batch 4
#define def_k_normwithnoise_optimization 5
#define def_k_normwithnoise_activation 6
#define def_k_normwithnoise_alpha 7
//---
#define def_k_HyperProjection 147
#define def_k_lp_inputs 0
#define def_k_lp_outputs 1
//---
#define def_k_HyperProjectionGrad 148
#define def_k_lpg_inputs 0
#define def_k_lpg_inputs_gr 1
#define def_k_lpg_outputs_gr 2
//---
#define def_k_LogMap 149
#define def_k_logmap_features 0
#define def_k_logmap_centroids 1
#define def_k_logmap_curvatures 2
#define def_k_logmap_outputs 3
#define def_k_logmap_product 4
#define def_k_logmap_distance 5
#define def_k_logmap_norma 6
//---
#define def_k_LogMapGrad 150
#define def_k_logmapgr_features 0
#define def_k_logmapgr_features_gr 1
#define def_k_logmapgr_centroids 2
#define def_k_logmapgr_centroids_gr 3
#define def_k_logmapgr_curvatures 4
#define def_k_logmapgr_curvatures_gr 5
#define def_k_logmapgr_outputs 6
#define def_k_logmapgr_outputs_gr 7
#define def_k_logmapgr_product 8
#define def_k_logmapgr_distance 9
#define def_k_logmapgr_norma 10
//---
#define def_k_CalcEpsilonWeights 151
#define def_k_epsw_matrix_w 0
#define def_k_epsw_matrix_g 1
#define def_k_epsw_matrix_i 2
#define def_k_epsw_matrix_epsw 3
#define def_k_epsw_rho 4
//---
#define def_k_CalcEpsilonWeightsConv 152
#define def_k_epswconv_matrix_w 0
#define def_k_epswconv_matrix_g 1
#define def_k_epswconv_matrix_i 2
#define def_k_epswconv_matrix_epsw 3
#define def_k_epswconv_inputs 4
#define def_k_epswconv_rho 5
#define def_k_epswconv_step 6
//---
#define def_k_PLRMultiAgents 153
//---
#define def_k_PLRMultiAgentsGrad 154
#define def_k_plrg_agents 4
//---
#define def_k_FeedForwardMHConv 155
//---
#define def_k_CalcHiddenGradientMHConv 156
#define def_k_chgc_heads 10
//---
#define def_k_UpdateWeightsMHConvAdam 157
#define def_k_uwca_heads 12
//---
#define def_k_MoreLessEqual 158
#define def_k_mle_inputs 0
#define def_k_mle_outputs 1
//---
#define def_k_MultiScaleRelativeAttentionOut 159
//---
#define def_k_SSM2D_FeedForward 160
#define def_k_ssm2d_ah 0
#define def_k_ssm2d_b_time 1
#define def_k_ssm2d_b_var 2
#define def_k_ssm2d_px_time 3
#define def_k_ssm2d_px_var 4
#define def_k_ssm2d_c_time 5
#define def_k_ssm2d_c_var 6
#define def_k_ssm2d_delta_time 7
#define def_k_ssm2d_delta_var 8
#define def_k_ssm2d_hidden 9
#define def_k_ssm2d_y 10
//---
#define def_k_SSM2D_CalcHiddenGradient 161
#define def_k_ssm2dhg_ah 0
#define def_k_ssm2dhg_grad_ah 1
#define def_k_ssm2dhg_b_time 2
#define def_k_ssm2dhg_grad_b_time 3
#define def_k_ssm2dhg_b_var 4
#define def_k_ssm2dhg_grad_b_var 5
#define def_k_ssm2dhg_px_time 6
#define def_k_ssm2dhg_grad_px_time 7
#define def_k_ssm2dhg_px_var 8
#define def_k_ssm2dhg_grad_px_var 9
#define def_k_ssm2dhg_c_time 10
#define def_k_ssm2dhg_grad_c_time 11
#define def_k_ssm2dhg_c_var 12
#define def_k_ssm2dhg_grad_c_var 13
#define def_k_ssm2dhg_delta_time 14
#define def_k_ssm2dhg_grad_delta_time 15
#define def_k_ssm2dhg_delta_var 16
#define def_k_ssm2dhg_grad_delta_var 17
#define def_k_ssm2dhg_hidden 18
#define def_k_ssm2dhg_grad_y 19
//---
#define def_k_PScan 162
#define def_k_psc_A 0
#define def_k_psc_X 1
#define def_k_psc_H 2
#define def_k_psc_X_out 3
//---
#define def_k_PScan_CalcHiddenGradient 163
#define def_k_pscgr_A 0
#define def_k_pscgr_X 1
#define def_k_pscgr_H 2
#define def_k_pscgr_grad_X_out 3
#define def_k_pscgr_grad_A 4
#define def_k_pscgr_grad_X 5
#define def_k_pscgr_grad_H 6
//---
#define def_k_DiagMatMult 164
#define def_k_diagmm_diag 0
#define def_k_diagmm_matr 1
#define def_k_diagmm_result 2
#define def_k_diagmm_activation 3
//---
#define def_k_DiagMatMultGrad 165
#define def_k_diagmmgr_diag 0
#define def_k_diagmmgr_grad_diag 1
#define def_k_diagmmgr_matr 2
#define def_k_diagmmgr_grad_matr 3
#define def_k_diagmmgr_grad_result 4
//---
#define def_k_TopKgates 166
#define def_k_topK_inputs 0
#define def_k_topK_noises 1
#define def_k_topK_gates 2
#define def_k_topK_k 3
//---
#define def_k_TopKgatesGrad 167
#define def_k_topKgr_inputs 0
#define def_k_topKgr_grad_inputs 1
#define def_k_topKgr_noises 2
#define def_k_topKgr_gates 3
#define def_k_topKgr_grad_gates 4
//---
#define def_k_MaskByDistance 168
#define def_k_maskDist_buf_real 0
#define def_k_maskDist_buf_imag 1
#define def_k_maskDist_mask 2
#define def_k_maskDist_dimension 3
//---
#define def_k_MaskAttention 169
#define def_k_maskatt_q 0
#define def_k_maskatt_kv 1
#define def_k_maskatt_scores 2
#define def_k_maskatt_masks 3
#define def_k_maskatt_out 4
#define def_k_maskatt_dimension 5
#define def_k_maskatt_heads_kv 6
//---
#define def_k_MaskAttentionGradients 170
#define def_k_maskattgr_q 0
#define def_k_maskattgr_q_g 1
#define def_k_maskattgr_kv 2
#define def_k_maskattgr_kv_g 3
#define def_k_maskattgr_scores 4
#define def_k_maskattgr_gradient 5
#define def_k_maskattgr_kunits 6
#define def_k_maskattgr_heads_kv 7
//---
#define def_k_FeedForwardMultWinConv 171
#define def_k_ffmwc_matrix_w 0
#define def_k_ffmwc_matrix_i 1
#define def_k_ffmwc_matrix_o 2
#define def_k_ffmwc_windows_in 3
#define def_k_ffmwc_inputs 4
#define def_k_ffmwc_windows_total 5
#define def_k_ffmwc_window_out 6
#define def_k_ffmwc_activation 7
//---
#define def_k_CalcHiddenGradientMultWinConv 172
#define def_k_chgmwc_matrix_w 0
#define def_k_chgmwc_matrix_i 1
#define def_k_chgmwc_matrix_ig 2
#define def_k_chgmwc_matrix_og 3
#define def_k_chgmwc_windows_in 4
#define def_k_chgmwc_outputs 5
#define def_k_chgmwc_windows_total 6
#define def_k_chgmwc_window_out 7
#define def_k_chgmwc_activation 8
//---
#define def_k_UpdateWeightsMultWinConvAdam 173
#define def_k_uwmwc_matrix_w 0
#define def_k_uwmwc_matrix_og 1
#define def_k_uwmwc_matrix_i 2
#define def_k_uwmwc_matrix_m 3
#define def_k_uwmwc_matrix_v 4
#define def_k_uwmwc_windows_in 5
#define def_k_uwmwc_windows_total 6
#define def_k_uwmwc_window_out 7
#define def_k_uwmwc_inputs 8
#define def_k_uwmwc_outputs 9
#define def_k_uwmwc_l 10
#define def_k_uwmwc_b1 11
#define def_k_uwmwc_b2 12
//---
#define def_k_MaskAttentionComplex 174
#define def_k_maskattcom_q 0
#define def_k_maskattcom_kv 1
#define def_k_maskattcom_scores 2
#define def_k_maskattcom_masks 3
#define def_k_maskattcom_out 4
#define def_k_maskattcom_dimension 5
#define def_k_maskattcom_heads_kv 6
//---
#define def_k_MaskAttentionGradientsComplex 175
#define def_k_maskattcomgr_q 0
#define def_k_maskattcomgr_q_g 1
#define def_k_maskattcomgr_kv 2
#define def_k_maskattcomgr_kv_g 3
#define def_k_maskattcomgr_scores 4
#define def_k_maskattcomgr_mask 5
#define def_k_maskattcomgr_mask_g 6
#define def_k_maskattcomgr_gradient 7
#define def_k_maskattcomgr_kunits 8
#define def_k_maskattcomgr_heads_kv 9
//---
#define def_k_CSLSTM_FeedForward 176
#define def_k_cslstmff_concatenated 0
#define def_k_cslstmff_memory 1
#define def_k_cslstmff_output 2
//---
#define def_k_CSLSTM_CalcHiddenGradient 177
#define def_k_cslstmhg_concatenated 0
#define def_k_cslstmhg_concatenated_grad 1
#define def_k_cslstmhg_memory 2
#define def_k_cslstmhg_output_grad 3
//---
#define def_k_ProbAttentionQeuryImp 178
#define def_k_probat_querys 0
#define def_k_probat_keys_values 1
#define def_k_probat_index_keys 2
#define def_k_probat_querys_imp 3
#define def_k_probat_dimension 4
//---
#define def_k_TopKImportanceToIndex 179
#define def_k_imptoind_importance 0
#define def_k_imptoind_indexes 1
#define def_k_imptoind_tok_k 2
//---
#define def_k_QIndexAttention 180
#define def_k_indatt_q 0
#define def_k_indatt_kv 1
#define def_k_indatt_scores 2
#define def_k_indatt_indexes 3
#define def_k_indatt_out 4
#define def_k_indatt_dimension 5
#define def_k_indatt_heads_kv 6
//---
#define def_k_QIndexAttentionGradients 181
#define def_k_indattgr_q 0
#define def_k_indattgr_q_g 1
#define def_k_indattgr_kv 2
#define def_k_indattgr_kv_g 3
#define def_k_indattgr_indexes 4
#define def_k_indattgr_scores 5
#define def_k_indattgr_gradient 6
#define def_k_indattgr_kunits 7
#define def_k_indattgr_heads_kv 8
//---
#define def_k_TSPositonEncoder 182
#define def_k_tspe_data 0
#define def_k_tspe_time 1
#define def_k_tspe_output 2
#define def_k_tspe_period 3
//---
#define def_k_FeedForwardMultWinConvWPad 183
#define def_k_ffmwconvwpad_matrix_w 0
#define def_k_ffmwconvwpad_matrix_i 1
#define def_k_ffmwconvwpad_matrix_o 2
#define def_k_ffmwconvwpad_windows_in 3
#define def_k_ffmwconvwpad_inputs 4
#define def_k_ffmwconvwpad_step 5
#define def_k_ffmwconvwpad_window_out 6
#define def_k_ffmwconvwpad_activation 7
//---
#define def_k_CalcHiddenGradientMultWinConvWPad 184
#define def_k_hgmwconvwpad_matrix_w 0
#define def_k_hgmwconvwpad_matrix_i 1
#define def_k_hgmwconvwpad_matrix_ig 2
#define def_k_hgmwconvwpad_matrix_og 3
#define def_k_hgmwconvwpad_windows_in 4
#define def_k_hgmwconvwpad_outputs 5
#define def_k_hgmwconvwpad_step 6
#define def_k_hgmwconvwpad_window_out 7
#define def_k_hgmwconvwpad_filters 8
#define def_k_hgmwconvwpad_activation 9
//---
#define def_k_UpdateWeightsMultWinConvAdamWPad 185
#define def_k_uwmwconvwpad_matrix_w 0
#define def_k_uwmwconvwpad_matrix_og 1
#define def_k_uwmwconvwpad_matrix_i 2
#define def_k_uwmwconvwpad_matrix_m 3
#define def_k_uwmwconvwpad_matrix_v 4
#define def_k_uwmwconvwpad_windows_in 5
#define def_k_uwmwconvwpad_windows_total 6
#define def_k_uwmwconvwpad_window_out 7
#define def_k_uwmwconvwpad_inputs 8
#define def_k_uwmwconvwpad_step 9
#define def_k_uwmwconvwpad_outputs 10
#define def_k_uwmwconvwpad_l 11
#define def_k_uwmwconvwpad_b1 12
#define def_k_uwmwconvwpad_b2 13
//---
#define def_k_ConcatDiff 186
#define def_k_concdiff_data 0
#define def_k_concdiff_output 1
#define def_k_concdiff_step 2
//---
#define def_k_FeedForwardMaskMultWinConv 187
#define def_k_ffmmwc_matrix_w 0
#define def_k_ffmmwc_matrix_i 1
#define def_k_ffmmwc_masks 2
#define def_k_ffmmwc_matrix_o 3
#define def_k_ffmmwc_inputs 4
#define def_k_ffmmwc_window_in 5
#define def_k_ffmmwc_windows_total 6
#define def_k_ffmmwc_activation 7
//---
#define def_k_CalcHiddenGradientMaskMultWinConv 188
#define def_k_chgmmwc_matrix_w 0
#define def_k_chgmmwc_matrix_i 1
#define def_k_chgmmwc_matrix_ig 2
#define def_k_chgmmwc_matrix_og 3
#define def_k_chgmmwc_masks 4
#define def_k_chgmmwc_masks_g 5
#define def_k_chgmmwc_outputs 6
#define def_k_chgmmwc_window_in 7
#define def_k_chgmmwc_window_out 8
#define def_k_chgmmwc_activation 9
//---
#define def_k_UpdateWeightsMaskMultWinConvAdam 189
#define def_k_uwmmwc_matrix_w 0
#define def_k_uwmmwc_matrix_og 1
#define def_k_uwmmwc_matrix_i 2
#define def_k_uwmmwc_masks 3
#define def_k_uwmmwc_matrix_m 4
#define def_k_uwmmwc_matrix_v 5
#define def_k_uwmmwc_windows_total 6
#define def_k_uwmmwc_inputs 7
#define def_k_uwmmwc_outputs 8
#define def_k_uwmmwc_l 9
#define def_k_uwmmwc_b1 10
#define def_k_uwmmwc_b2 11
//---
#define def_k_MainFreq 190
#define def_k_mf_freq_r 0
#define def_k_mf_freq_im 1
#define def_k_mf_main_freq 2
#define def_k_mf_dimension 3
//---
#define def_k_FeedForwardAdaptConv 191
#define def_k_ffac_matrix_w 0
#define def_k_ffac_matrix_i 1
#define def_k_ffac_matrix_o 2
#define def_k_ffac_main_freq 3
#define def_k_ffac_inputs 4
#define def_k_ffac_window_in 5
#define def_k_ffac_activation 6
//---
#define def_k_CalcHiddenGradientAdaptConv 192
#define def_k_chgac_matrix_w 0
#define def_k_chgac_matrix_i 1
#define def_k_chgac_matrix_ig 2
#define def_k_chgac_matrix_og 3
#define def_k_chgac_main_freq 4
#define def_k_chgac_outputs 5
#define def_k_chgac_window_in 6
#define def_k_chgac_window_out 7
#define def_k_chgac_activation 8
//---
#define def_k_UpdateWeightsAdaptConvAdam 193
#define def_k_uwac_matrix_w 0
#define def_k_uwac_matrix_og 1
#define def_k_uwac_matrix_i 2
#define def_k_uwac_matrix_m 3
#define def_k_uwac_matrix_v 4
#define def_k_uwac_main_freq 5
#define def_k_uwac_inputs 6
#define def_k_uwac_outputs 7
#define def_k_uwac_l 8
#define def_k_uwac_b1 9
#define def_k_uwac_b2 10
//---
#define def_k_RoPE 194
#define def_k_rope_inputs 0
#define def_k_rope_position_emb 1
#define def_k_rope_outputs 2
//---
#define def_k_CalcHiddenGradRoPE 195
//---
#define def_k_MatrixDif 196
#define def_k_dif_matrix1 0
#define def_k_dif_matrix2 1
#define def_k_dif_matrix_out 2
#define def_k_dif_multiplyer 3
#define def_k_dif_shift_in1 4
#define def_k_dif_shift_in2 5
#define def_k_dif_shift_out 6
//---
#define def_k_MatrixDifGrad 197
//---
#define def_k_IdentMatrixDif 198
#define def_k_iddif_matrix_in 0
#define def_k_iddif_matrix_out 1
#define def_k_iddif_multiplyer 2
#define def_k_iddif_shift_in 3
#define def_k_iddif_shift_out 4
//---
#define def_k_IdentMatrixDifGrad 199
//---
#define def_k_SumVecMatrix 200
#define def_k_svecmat_vector_in 0
#define def_k_svecmat_matrix_in 1
#define def_k_svecmat_matrix_out 2
#define def_k_svecmat_multiplyer 3
#define def_k_svecmat_shift_in1 4
#define def_k_svecmat_shift_in2 5
#define def_k_svecmat_shift_out 6
#define def_k_svecmat_numeric_flags 7
#define def_k_svecmat_flags_enabled 8
//---
#define def_k_SumVecMatrixGrad 201
//---
#define def_k_InterpolationAttention 202
#define def_k_ia_matrix_in 0
#define def_k_ia_W 1
#define def_k_ia_A 2
#define def_k_ia_GL 3
#define def_k_ia_Adj 4
#define def_k_ia_H 5
#define def_k_ia_Atten 6
#define def_k_ia_matrix_out 7
#define def_k_ia_dimension 8
//---
#define def_k_InterpolationAttentionGrad 203
#define def_k_iag_matrix_in 0
#define def_k_iag_matrix_in_gr 1
#define def_k_iag_W 2
#define def_k_iag_W_gr 3
#define def_k_iag_A 4
#define def_k_iag_A_gr 5
#define def_k_iag_GL 6
#define def_k_iag_GL_gr 7
#define def_k_iag_Adj 8
#define def_k_iag_H 9
#define def_k_iag_H_gr 10
#define def_k_iag_Atten 11
#define def_k_iag_matrix_out_gr 12
#define def_k_iag_dimension 13
//---
#define def_k_IdentMatrixSum 204
#define def_k_idsum_matrix_in 0
#define def_k_idsum_matrix_out 1
#define def_k_idsum_multiplyer 2
#define def_k_idsum_shift_in 3
#define def_k_idsum_shift_out 4
//---
#define def_k_Activation 205
#define def_k_act_inputs 0
#define def_k_act_outputs 1
#define def_k_act_activation 2
//---
#define def_k_PeriodNorm 206
#define def_k_pn_inputs 0
#define def_k_pn_mean_stdevs 1
#define def_k_pn_outputs 2
#define def_k_pn_total_inputs 3
//---
#define def_k_PeriodNormGrad 207
#define def_k_png_inputs 0
#define def_k_png_inputs_gr 1
#define def_k_png_mean_stdevs 2
#define def_k_png_mean_stdevs_gr 3
#define def_k_png_outputs 4
#define def_k_png_outputs_gr 5
#define def_k_png_total_inputs 6
//---
#define def_k_AdaptSpatialNorm 208
#define def_k_asn_inputs 0
#define def_k_asn_attention 1
#define def_k_asn_mean_stdevs 2
#define def_k_asn_outputs 3
//---
#define def_k_AdaptSpatialNormGrad 209
#define def_k_asng_inputs 0
#define def_k_asng_inputs_gr 1
#define def_k_asng_attention 2
#define def_k_asng_attention_gr 3
#define def_k_asng_mean_stdevs 4
#define def_k_asng_mean_stdevs_gr 5
#define def_k_asng_outputs_gr 6
#define def_k_asng_total_inputs 7
//---
#define def_k_AttentNorm 210
#define def_k_atn_inputs 0
#define def_k_atn_attention 1
#define def_k_atn_means 2
#define def_k_atn_stdevs 3
#define def_k_atn_outputs 4
#define def_k_atn_total_inputs 5
#define def_k_atn_segment_size 6
//---
#define def_k_AttentNormGrad 211
#define def_k_atng_inputs 0
#define def_k_atng_inputs_gr 1
#define def_k_atng_attention 2
#define def_k_atng_attention_gr 3
#define def_k_atng_means 4
#define def_k_atng_stdevs 5
#define def_k_atng_means_gr 6
#define def_k_atng_outputs_gr 7
#define def_k_atng_total_inputs 8
#define def_k_atng_segment_size 9
//---
#define def_k_ChebStep 212
#define def_k_cheb_support 0
#define def_k_cheb_outputs 1
#define def_k_cheb_step 2
//---
#define def_k_ChebStepGrad 213
#define def_k_chebgr_support 0
#define def_k_chebgr_support_g 1
#define def_k_chebgr_outputs 2
#define def_k_chebgr_outputs_g 3
#define def_k_chebgr_step 4
//---
#define def_k_SignificantNeighborsSampling 214
#define def_k_sns_data 0
#define def_k_sns_candidates 1
#define def_k_sns_random_cands 2
#define def_k_sns_neighbors 3
#define def_k_sns_dimension 4
//---
#define def_k_SparseMHScores 215
#define def_k_smhs_data 0
#define def_k_smhs_indexes 1
#define def_k_smhs_scores 2
#define def_k_smhs_sparse 3
//---
#define def_k_SparseMHScoresGrad 216
#define def_k_smhs_gr_data_gr 0
#define def_k_smhs_gr_indexes 1
#define def_k_smhs_gr_scores 2
#define def_k_smhs_gr_scores_gr 3
//---
#define def_k_SparseMatMult 217
#define def_k_smm_sparse_index 0
#define def_k_smm_sparse_data 1
#define def_k_smm_full 2
#define def_k_smm_result 3
#define def_k_smm_full_rows 4
//---
#define def_k_SparseMatMultGrad 218
#define def_k_smm_gr_sparse_index 0
#define def_k_smm_gr_sparse_data 1
#define def_k_smm_gr_sparse_gr 2
#define def_k_smm_gr_full 3
#define def_k_smm_gr_full_gr 4
#define def_k_smm_gr_result_gr 5
#define def_k_smm_gr_sparse_rows 6
#define def_k_smm_gr_sparse_cols 7
#define def_k_smm_gr_full_rows 8
#define def_k_smm_gr_full_cols 9
//---
#define def_k_RandomWalk 219
#define def_k_rw_data 0
#define def_k_rw_inv_diag 1
#define def_k_rw_norm 2
#define def_k_rw_total_cols 3
//---
#define def_k_ConcatByLabel 220
#define def_k_cbl_data 0
#define def_k_cbl_label 1
#define def_k_cbl_embedding1 2
#define def_k_cbl_embedding2 3
#define def_k_cbl_output 4
#define def_k_cbl_dimension_data 5
#define def_k_cbl_dimension_emb1 6
#define def_k_cbl_dimension_emb2 7
#define def_k_cbl_frame1 8
#define def_k_cbl_frame2 9
#define def_k_cbl_period1 10
#define def_k_cbl_period2 11
//---
#define def_k_ConcatByLabelGrad 221
#define def_k_cbl_gr_units 12
//---
#define def_k_GlobalLocalAttention 222
#define def_k_glatt_q 0
#define def_k_glatt_kv 1
#define def_k_glatt_scores 2
#define def_k_glatt_mask 3
#define def_k_glatt_label 4
#define def_k_glatt_out 5
#define def_k_glatt_dimension 6
#define def_k_glatt_total_kv 7
#define def_k_glatt_total_mask 8
//---
#define def_k_GlobalLocalAttentionGrad 223
#define def_k_glatt_gr_q 0
#define def_k_glatt_gr_q_gr 1
#define def_k_glatt_gr_kv 2
#define def_k_glatt_gr_kv_gr 3
#define def_k_glatt_gr_scores 4
#define def_k_glatt_gr_mask 5
#define def_k_glatt_gr_mask_gr 6
#define def_k_glatt_gr_label 7
#define def_k_glatt_gr_out_gr 8
#define def_k_glatt_gr_dimension 9
#define def_k_glatt_gr_total_q 10
#define def_k_glatt_gr_total_kv 11
#define def_k_glatt_gr_total_mask 12
//---
#define def_k_SparseSoftMax 224
#define def_k_ssoftmax_data 0
#define def_k_ssoftmax_outputs 1
#define def_k_ssoftmax_indexes 2
#define def_k_ssoftmax_out_dimension 3
//---
#define def_k_SparseSoftMaxGrad 225
#define def_k_ssoftmax_gr_data_gr 0
#define def_k_ssoftmax_gr_outputs 1
#define def_k_ssoftmax_gr_outputs_gr 2
#define def_k_ssoftmax_gr_indexes 3
#define def_k_ssoftmax_gr_out_dimension 4
//---
#define def_k_FloatToSpike 226
#define def_k_fts_values 0
#define def_k_fts_levels 1
#define def_k_fts_outputs 2
//---
#define def_k_FloatToSpikeGrad 227
#define def_k_ftsg_values 0
#define def_k_ftsg_values_gr 1
#define def_k_ftsg_levels_gr 2
#define def_k_ftsg_gradients 3
//---
#define def_k_SpikeMHAttention 228
#define def_k_smhat_qkv 0
#define def_k_smhat_diag_bias 1
#define def_k_smhat_scores 2
#define def_k_smhat_out 3
#define def_k_smhat_dimension 4
#define def_k_smhat_mask_future 5
//---
#define def_k_SpikeMHAttentionGrad 229
#define def_k_smhat_gr_qkv 0
#define def_k_smhat_gr_qkv_gr 1
#define def_k_smhat_gr_diag_bias 2
#define def_k_smhat_gr_diag_bias_gr 3
#define def_k_smhat_gr_scores 4
#define def_k_smhat_gr_gradients 5
#define def_k_smhat_gr_dimension 6
#define def_k_smhat_gr_mask_future 7
//---
#define def_k_STFS 230
#define def_k_stfs_inputs 0
#define def_k_stfs_mask_time 1
#define def_k_stfs_mask_spatial 2
#define def_k_stfs_outputs 3
//---
#define def_k_STFSGrad 231
//---
#define def_k_AddToStack 232
#define def_k_ats_inputs 0
#define def_k_ats_stack 1
#define def_k_ats_stack_size 2
//---
#define def_k_AggregationByTime 233
#define def_k_agt_inputs 0
#define def_k_agt_stack 1
#define def_k_agt_outputs 2
#define def_k_agt_stack_size 3
#define def_k_agt_levels 4
//---
#define def_k_AggregationByTimeGrad 234
#define def_k_agtg_inputs_gr 0
#define def_k_agtg_outputs_gr 1
#define def_k_agtg_levels 2
//---
#define def_k_GRU 235
#define def_k_gru_XH 0
#define def_k_gru_prev_state 1
#define def_k_gru_outputs 2
//---
#define def_k_GRU_Grad 236
#define def_k_gru_gr_XH 0
#define def_k_gru_gr_XH_gr 1
#define def_k_gru_gr_prev_state 2
#define def_k_gru_gr_outputs_gr 3
//---
#define def_k_ScalarToVector 237
#define def_k_stv_scalar 0
#define def_k_stv_vector_in 1
#define def_k_stv_vector_out 2
//---
#define def_k_ScalarToVectorGrad 238
#define def_k_stvg_scalar 0
#define def_k_stvg_scalar_gr 1
#define def_k_stvg_vector_in 2
#define def_k_stvg_vector_in_gr 3
#define def_k_stvg_vector_out_gr 4
#define def_k_stvg_dimension 5
//---
#define def_k_CalcFlow 239
#define def_k_cf_value 0
#define def_k_cf_prev_value 1
#define def_k_cf_flow 2
//---
#define def_k_DilatedCorrelation 240
#define def_k_dcor_feature 0
#define def_k_dcor_shifts 1
#define def_k_dcor_correlations 2
#define def_k_dcor_dimension 3
//---
#define def_k_DilatedCorrelationGrad 241
#define def_k_dcorgr_feature 0
#define def_k_dcorgr_feature_gr 1
#define def_k_dcorgr_shifts 2
#define def_k_dcorgr_corr_gr 3
#define def_k_dcorgr_total_corr 4
//---
#define def_k_DilatedDifference 242
#define def_k_ddiff_feature 0
#define def_k_ddiff_shifts 1
#define def_k_ddiff_differences 2
//---
#define def_k_DilatedDifferenceGrad 243
#define def_k_ddiffgr_feature 0
#define def_k_ddiffgr_feature_gr 1
#define def_k_ddiffgr_shifts 2
#define def_k_ddiffgr_differences_gr 3
#define def_k_ddiffgr_total_shifts 4
//---
#define def_k_PerturbedMatrix 244
#define def_k_pm_inputs 0
#define def_k_pm_perturb 1
#define def_k_pm_output 2
#define def_k_pm_perturb_mult 3
//---
#define def_k_PerturbedMatrixGrad 245
//---
#define def_k_LinearUpsample 246
#define def_k_lu_data 0
#define def_k_lu_upsample 1
//---
#define def_k_LinearUpsampleGrad 247
#define def_k_lug_data_gr 0
#define def_k_lug_upsample_gr 1
#define def_k_lug_dimension_htr 2
//---
#define def_k_MixExpertsPredict 248
#define def_k_moepred_experts 0
#define def_k_moepred_outputs 1
//---
#define def_k_MixExpertsPredictGrad 249
#define def_k_moepredgr_experts 0
#define def_k_moepredgr_experts_gr 1
#define def_k_moepredgr_outputs_gr 2
//---
#define def_k_MHFAT 250
#define def_k_mhfat_q 0
#define def_k_mhfat_kv 1
#define def_k_mhfat_scale 2
#define def_k_mhfat_scores 3
#define def_k_mhfat_out 4
#define def_k_mhfat_dimension 5
#define def_k_mhfat_mask_future 6
//---
#define def_k_MHFATGrad 251
#define def_k_mhfat_gr_q 0
#define def_k_mhfat_gr_q_gr 1
#define def_k_mhfat_gr_kv 2
#define def_k_mhfat_gr_kv_gr 3
#define def_k_mhfat_gr_scale 4
#define def_k_mhfat_gr_scale_gr 5
#define def_k_mhfat_gr_scores 6
#define def_k_mhfat_gr_gradients 7
#define def_k_mhfat_gr_dimension 8
#define def_k_mhfat_gr_total_k 9
#define def_k_mhfat_gr_mask_future 10
//---
#define def_k_SparseConcatenate 252
#define def_k_sparconc_sparse_index 0
#define def_k_sparconc_sparse_data 1
#define def_k_sparconc_full 2
#define def_k_sparconc_result 3
#define def_k_sparconc_full_rows 4
//---
#define def_k_SparseConcatenateGrad 253
#define def_k_sparconc_gr_sparse_index 0
#define def_k_sparconc_gr_sparse_data 1
#define def_k_sparconc_gr_sparse_gr 2
#define def_k_sparconc_gr_full 3
#define def_k_sparconc_gr_full_gr 4
#define def_k_sparconc_gr_result_gr 5
#define def_k_sparconc_gr_sparse_rows 6
#define def_k_sparconc_gr_sparse_cols 7
#define def_k_sparconc_gr_full_rows 8
#define def_k_sparconc_gr_full_cols 9
//---
#define def_k_MHFlashAttention 254
#define def_k_mhflat_q 0
#define def_k_mhflat_kv 1
#define def_k_mhflat_logsumexp 2
#define def_k_mhflat_out 3
#define def_k_mhflat_dimension 4
#define def_k_mhflat_total_kv 5
#define def_k_mhflat_mask_future 6
//---
#define def_k_MHFlashAttentionGrad 255
#define def_k_mhflatg_q 0
#define def_k_mhflatg_q_gr 1
#define def_k_mhflatg_kv 2
#define def_k_mhflatg_kv_gr 3
#define def_k_mhflatg_logsumexp 4
#define def_k_mhflatg_out 5
#define def_k_mhflatg_out_gr 6
#define def_k_mhflatg_dimension 7
#define def_k_mhflatg_total_q 8
#define def_k_mhflatg_total_kv 9
#define def_k_mhflatg_mask_future 10
//---
#define def_k_MHFlashSTCA 256
#define def_k_mhstca_query 0
#define def_k_mhstca_X 1
#define def_k_mhstca_logsumexp 2
#define def_k_mhstca_output 3
#define def_k_mhstca_dimension 4
#define def_k_mhstca_total_X 5
#define def_k_mhstca_mask_future 6
//---
#define def_k_MHFlashSTCAGrad 257
#define def_k_mhstca_gr_query 0
#define def_k_mhstca_gr_query_gr 1
#define def_k_mhstca_gr_X 2
#define def_k_mhstca_gr_X_gr 3
#define def_k_mhstca_gr_logsumexp 4
#define def_k_mhstca_gr_output 5
#define def_k_mhstca_gr_output_gr 6
#define def_k_mhstca_gr_dimension 7
#define def_k_mhstca_gr_total_q 8
#define def_k_mhstca_gr_total_X 9
#define def_k_mhstca_gr_mask_future 10
//---
#define def_k_ConcatVecMatrix 258
#define def_k_concvm_vector_in 0
#define def_k_concvm_matrix_in 1
#define def_k_concvm_matrix_out 2
#define def_k_concvm_dimension_v 3
#define def_k_concvm_colums_m 4
#define def_k_concvm_multvarsecond 5
//---
#define def_k_ConcatVecMatrixGrad 259
#define def_k_concvm_gr_vector_in_gr 0
#define def_k_concvm_gr_matrix_in_gr 1
#define def_k_concvm_gr_matrix_out_gr 2
#define def_k_concvm_gr_dimension_v 3
#define def_k_concvm_gr_colums_m 4
#define def_k_concvm_gr_rows 5
#define def_k_concvm_gr_variables 6
#define def_k_concvm_gr_multvarsecond 7
//---
#define def_k_INFNetBGU 260
#define def_k_infnbgu_scal_and_shift 0
#define def_k_infnbgu_sequence 1
#define def_k_infnbgu_context 2
#define def_k_infnbgu_scenarios 3
#define def_k_infnbgu_sequence_out 4
#define def_k_infnbgu_context_out 5
#define def_k_infnbgu_scenarios_out 6
#define def_k_infnbgu_sequence_units 7
#define def_k_infnbgu_sequence_vars 8
#define def_k_infnbgu_context_units 9
#define def_k_infnbgu_scenarios_units 10
//---
#define def_k_INFNetBGUGrad 261
#define def_k_infnbgugr_scal_and_shift 0
#define def_k_infnbgugr_scal_and_shift_grad 1
#define def_k_infnbgugr_sequence 2
#define def_k_infnbgugr_context 3
#define def_k_infnbgugr_scenarios 4
#define def_k_infnbgugr_sequence_grad 5
#define def_k_infnbgugr_context_grad 6
#define def_k_infnbgugr_scenarios_grad 7
#define def_k_infnbgugr_sequence_out_grad 8
#define def_k_infnbgugr_context_out_grad 9
#define def_k_infnbgugr_scenarios_out_grad 10
#define def_k_infnbgugr_sequence_units 11
#define def_k_infnbgugr_sequence_vars 12
#define def_k_infnbgugr_context_units 13
#define def_k_infnbgugr_scenarios_units 14
//---
#define def_k_MHCrossAttvsSim 262
#define def_k_casim_query 0
#define def_k_casim_key 1
#define def_k_casim_value 2
#define def_k_casim_prototype 3
#define def_k_casim_levels 4
#define def_k_casim_logsumexp 5
#define def_k_casim_output_at 6
#define def_k_casim_similarity 7
#define def_k_casim_dimension 8
#define def_k_casim_total_X 9
//---
#define def_k_MHCrossAttvsSimGrad 263
#define def_k_casimgr_query 0
#define def_k_casimgr_key 1
#define def_k_casimgr_value 2
#define def_k_casimgr_prototype 3
#define def_k_casimgr_levels 4
#define def_k_casimgr_logsumexp 5
#define def_k_casimgr_output_at 6
#define def_k_casimgr_similarity 7
#define def_k_casimgr_grad_output_at 8
#define def_k_casimgr_grad_similarity 9
#define def_k_casimgr_grad_query 10
#define def_k_casimgr_grad_key 11
#define def_k_casimgr_grad_value 12
#define def_k_casimgr_grad_prototype 13
#define def_k_casimgr_grad_levels 14
#define def_k_casimgr_dimension 15
#define def_k_casimgr_total_X 16
//---
#define def_k_MarketStateDensity 264
#define def_k_msd_sequence 0
#define def_k_msd_distribution 1
#define def_k_msd_sequence_size 2
#define def_k_msd_quantiles 3
#define def_k_msd_quant_step 4
//---
#define def_k_NLLGrad 265
#define def_k_nllgr_log_b 0
#define def_k_nllgr_grad_in 1
#define def_k_nllgr_grad_out 2
#define def_k_nllgr_grad_log_b 3
//---
#define def_k_SparseSoftmaxHausdorff 266
#define def_k_ssh_plan 0
#define def_k_ssh_decis 1
#define def_k_ssh_output 2
#define def_k_ssh_top_index 3
#define def_k_ssh_dimension 4
#define def_k_ssh_top_k 5
//---
#define def_k_SparseSoftmaxHausdorffGrad 267
#define def_k_sshg_plan 0
#define def_k_sshg_grad_plan 1
#define def_k_sshg_decis 2
#define def_k_sshg_grad_decis 3
#define def_k_sshg_grad_out 4
#define def_k_sshg_top_index 5
#define def_k_sshg_dimension 6
#define def_k_sshg_count_plan 7
#define def_k_sshg_count_decis 8
#define def_k_sshg_top_k 9
//---
#define def_k_MomADTTMMeanScores 268
#define def_k_madttm_ms_distance 0
#define def_k_madttm_ms_output 1
#define def_k_madttm_ms_decisions 2
//---
#define def_k_MomADTTMMeanScoresGrad 269
#define def_k_madttm_msg_scores_gr 0
#define def_k_madttm_msg_distance_gr 1
#define def_k_madttm_msg_decisions 2
//---
#define def_k_CogDriverAffineStack 270
#define def_k_cdas_stack 0
#define def_k_cdas_snapshot 1
#define def_k_cdas_affine 2
#define def_k_cdas_stack_size 3
#define def_k_cdas_quant_dimension 4
//---
#define def_k_CogDriverAffineStackGrad 271
#define def_k_cdasg_snapshot 0
#define def_k_cdasg_stack_gr 1
#define def_k_cdasg_affine_gr 2
#define def_k_cdasg_stack_size 3
#define def_k_cdasg_quant_dimension 4
//---
#define def_k_CogDriverRankTCMInsertPending 272
#define def_k_cdrtcm_insert_memory 0
#define def_k_cdrtcm_insert_age 1
#define def_k_cdrtcm_insert_score 2
#define def_k_cdrtcm_insert_valid 3
#define def_k_cdrtcm_insert_pending_query 4
#define def_k_cdrtcm_insert_memory_len 5
#define def_k_cdrtcm_insert_query_dim 6
#define def_k_cdrtcm_insert_variables 7
//---
#define def_k_CogDriverRankTCMBuildKV 273
#define def_k_cdrtcm_kv_memory 0
#define def_k_cdrtcm_kv_age 1
#define def_k_cdrtcm_kv_valid 2
#define def_k_cdrtcm_kv_out 3
#define def_k_cdrtcm_kv_memory_count 4
#define def_k_cdrtcm_kv_variables 5
#define def_k_cdrtcm_kv_heads 6
#define def_k_cdrtcm_kv_head_dim 7
//---
#define def_k_CogDriverRankTCMMeanFlashScore 274
#define def_k_cdrtcm_score_query 0
#define def_k_cdrtcm_score_kv 1
#define def_k_cdrtcm_score_valid 2
#define def_k_cdrtcm_score_out 3
#define def_k_cdrtcm_score_logsumexp 4
#define def_k_cdrtcm_score_memory_count 5
#define def_k_cdrtcm_score_variables 6
#define def_k_cdrtcm_score_heads 7
#define def_k_cdrtcm_score_head_dim 8
//---
#define def_k_CogDriverRankTCMSelfKV 275
#define def_k_cdrtcm_selfkv_source 0
#define def_k_cdrtcm_selfkv_out 1
#define def_k_cdrtcm_selfkv_query_dim 2
#define def_k_cdrtcm_selfkv_variables 3
#define def_k_cdrtcm_selfkv_heads 4
#define def_k_cdrtcm_selfkv_head_dim 5
//---
#define def_k_CogDriverForecastShiftState 276
#define def_k_cdfh_shift_plan 0
#define def_k_cdfh_shift_confidence 1
#define def_k_cdfh_shift_shifted_plan 2
#define def_k_cdfh_shift_shifted_confidence 3
#define def_k_cdfh_shift_delta_mask 4
#define def_k_cdfh_shift_query_dim 5
#define def_k_cdfh_shift_horizon 6
//---
#define def_k_CogDriverForecastConfidence 277
#define def_k_cdfh_conf_expected_error 0
#define def_k_cdfh_conf_confidence 1
#define def_k_cdfh_conf_total 2
//---
#define def_k_CogDriverForecastDeltaNorm 278
#define def_k_cdfh_delta_plan 0
#define def_k_cdfh_delta_shifted_plan 1
#define def_k_cdfh_delta_plan_delta 2
#define def_k_cdfh_delta_plan_delta_norm 3
#define def_k_cdfh_delta_query_dim 4
#define def_k_cdfh_delta_horizon 5
//---
#define def_k_CogDriverForecastBuildKV 279
#define def_k_cdfh_kv_context 0
#define def_k_cdfh_kv_out 1
#define def_k_cdfh_kv_dimension 2
#define def_k_cdfh_kv_horizon 3
#define def_k_cdfh_kv_variables 4
#define def_k_cdfh_kv_heads 5
#define def_k_cdfh_kv_head_dim 6
//---
#define def_k_CogDriverForecastBuildKVGrad 280
#define def_k_cdfh_kvg_kv_gr 0
#define def_k_cdfh_kvg_context_gr 1
#define def_k_cdfh_kvg_dimension 2
#define def_k_cdfh_kvg_horizon 3
#define def_k_cdfh_kvg_variables 4
#define def_k_cdfh_kvg_heads 5
#define def_k_cdfh_kvg_head_dim 6
//---
#define def_k_CogDriverForecastGradientRMS 281
#define def_k_cdfh_grms_gradient 0
#define def_k_cdfh_grms_error_target 1
#define def_k_cdfh_grms_dimension 2
#define def_k_cdfh_grms_horizon 3
//---
#define def_k_ScenarioForecastForward 282
#define def_k_sff_input 0
#define def_k_sff_prototypes 1
#define def_k_sff_generator_input 2
#define def_k_sff_router_input 3
#define def_k_sff_confidence_input 4
#define def_k_sff_generator_output 5
#define def_k_sff_router_output 6
#define def_k_sff_confidence_output 7
#define def_k_sff_z 8
#define def_k_sff_u 9
#define def_k_sff_pi 10
#define def_k_sff_scenarios 11
#define def_k_sff_horizon 12
#define def_k_sff_dimension 13
#define def_k_sff_phase 14
#define def_k_sff_log_pi 15
#define def_k_sff_log_u 16
#define def_k_sff_variables 17
#define def_k_sff_forward_validity 18
#define def_k_sff_generator_weights 19
#define def_k_sff_router_weights 20
#define def_k_sff_confidence_weights 21
#define def_k_sff_generator_weights_count 22
#define def_k_sff_router_weights_count 23
#define def_k_sff_confidence_weights_count 24
//---
#define def_k_ScenarioResponsibilities 283
#define def_k_sr_target 0
#define def_k_sr_z 1
#define def_k_sr_u 2
#define def_k_sr_pi 3
#define def_k_sr_responsibilities 4
#define def_k_sr_generator_gradient 5
#define def_k_sr_router_gradient 6
#define def_k_sr_confidence_gradient 7
#define def_k_sr_scenarios 8
#define def_k_sr_topk 9
#define def_k_sr_horizon 10
#define def_k_sr_dimension 11
#define def_k_sr_scores 12
#define def_k_sr_sparse 13
#define def_k_sr_indexes 14
#define def_k_sr_phase 15
#define def_k_sr_variables 16
#define def_k_sr_prototypes 17
#define def_k_sr_batch_control 18
#define def_k_sr_huber_delta 19
#define def_k_sr_target_source 20
#define def_k_sr_forward_validity 21
#define def_k_sr_diagnostic_partials 22
#define def_k_sr_epoch_diagnostics 23
#define def_k_sr_observation_by_scenario 24
#define def_k_sr_diagnostic_scratch 25
#define def_k_sr_usage 26
#define def_k_sr_inactive 27
#define def_k_sr_recovery_events 28
#define def_k_sr_age_zero_events 29
//---
#define def_k_ScenarioCodebookEMA 284
#define def_k_sce_target 0
#define def_k_sce_prototypes 1
#define def_k_sce_ema_sums 2
#define def_k_sce_ema_counts 3
#define def_k_sce_usage 4
#define def_k_sce_inactive 5
#define def_k_sce_batch_control 6
#define def_k_sce_scenarios 7
#define def_k_sce_dimension 8
#define def_k_sce_decay 9
#define def_k_sce_inactivity_age 10
#define def_k_sce_seed 11
#define def_k_sce_recovery_age 12
#define def_k_sce_recovery 13
#define def_k_sce_phase 14
#define def_k_sce_horizon 15
#define def_k_sce_variables 16
#define def_k_sce_responsibilities 17
#define def_k_sce_recovery_events 18
#define def_k_sce_age_zero_events 19
//---
#define def_k_ScenarioGradientNormalize 285
#define def_k_sgn_generator_gradient 0
#define def_k_sgn_generator_input_gradient 1
#define def_k_sgn_router_input_gradient 2
#define def_k_sgn_confidence_input_gradient 3
#define def_k_sgn_input_gradient 4
#define def_k_sgn_responsibilities 5
#define def_k_sgn_scenarios 6
#define def_k_sgn_horizon 7
//--- Generic RAG retrieval pipeline. All dimensions are runtime arguments.
#define RAG_TOPK_LOCAL_WIDTH 64
#define RAG_TOPK_MAX (RAG_TOPK_LOCAL_WIDTH / 2)
//--- ScenarioID is transported in float2.x by the GPU TopK pipeline.
#define RAG_FLOAT_INDEX_LIMIT 16777216
#define def_k_RAGScore 287
#define def_k_rags_embedding 0
#define def_k_rags_centroids 1
#define def_k_rags_used 2
#define def_k_rags_scores 3
#define def_k_rags_scenario_count 4
#define def_k_rags_embedding_dimension 5
#define def_k_RAGPartial 288
#define def_k_ragp_scores 0
#define def_k_ragp_partial 1
#define def_k_ragp_scenario_count 2
#define def_k_ragp_block_size 3
#define def_k_ragp_top_k 4
#define def_k_RAGMerge 289
#define def_k_ragm_source 0
#define def_k_ragm_destination 1
#define def_k_ragm_candidate_count 2
#define def_k_ragm_block_size 3
#define def_k_ragm_top_k 4
#define def_k_RAGGather 290
#define def_k_ragg_top 0
#define def_k_ragg_actions 1
#define def_k_ragg_tokens 2
#define def_k_ragg_scenario_count 3
#define def_k_ragg_action_count 4
#define def_k_ragg_action_dimension 5
#define def_k_ragg_token_width 6
#define def_k_ragg_top_k 7
#define def_k_ragg_action_used 8
#define def_k_ragg_action_mean_reward 9
#define def_k_ragg_action_hit_count 10
#define def_k_ragg_absolute_relevance 11
#define def_k_RAGNearestPair 291
#define def_k_ragn_centroids 0
#define def_k_ragn_used 1
#define def_k_ragn_result 2
#define def_k_ragn_candidate_count 3
#define def_k_ragn_dimension 4
#define def_k_ragn_batch_count 5
#define def_k_RAGTokenGate 292
#define def_k_ragtg_tokens 0
#define def_k_ragtg_gated_tokens 1
#define def_k_ragtg_absolute_relevance 2
#define def_k_ragtg_threshold_weights 3
#define def_k_ragtg_branch_activity 4
#define def_k_ragtg_token_count 5
#define def_k_ragtg_token_width 6
#define def_k_ragtg_scale 7
#define def_k_RAGTokenGateGrad 293
#define def_k_ragtgg_tokens 0
#define def_k_ragtgg_gated_gradient 1
#define def_k_ragtgg_absolute_relevance 2
#define def_k_ragtgg_threshold_weights 3
#define def_k_ragtgg_threshold_gradient 4
#define def_k_ragtgg_branch_activity_gradient 5
#define def_k_ragtgg_token_count 6
#define def_k_ragtgg_token_width 7
#define def_k_ragtgg_scale 8
#define def_k_sgn_dimension 8
#define def_k_sgn_phase 9
#define def_k_sgn_confidence_gradient 10
#define def_k_sgn_variables 11
#define def_k_sgn_batch_control 12
#define def_k_sgn_normalize_gradients 13
//--- D2Skill GPU retrieval, update and hindsight utility kernels.
#define def_k_D2SkillScoreSlots 294
#define def_k_d2ss_query 0
#define def_k_d2ss_keys 1
#define def_k_d2ss_partials 2
#define def_k_d2ss_slots 3
#define def_k_d2ss_dimension 4
#define def_k_D2SkillUtility 296
#define def_k_d2ut_influence 0
#define def_k_d2ut_influence_total 1
#define def_k_d2ut_utility 2
#define def_k_d2ut_used 3
#define def_k_d2ut_state 4
#define def_k_d2ut_delta 5
#define def_k_d2ut_beta 6
#define def_k_d2ut_slots 7
#define def_k_d2ut_diagnostics 8
#define def_k_d2ut_applied 9
#define def_k_D2SkillItemPartial 286
#define def_k_d2ip_source 0
#define def_k_d2ip_partials 1
#define def_k_d2ip_dimension 2
#define def_k_d2ip_output_offset 3
#define def_k_D2SkillItemReduce 297
#define def_k_d2ir_partials 0
#define def_k_d2ir_reduced 1
#define def_k_d2ir_input_count 2
#define def_k_d2ir_input_offset 3
#define def_k_d2ir_output_offset 4
#define def_k_d2ir_final_output 5
#define def_k_D2SkillItemApply 298
#define def_k_d2ia_gradient 0
#define def_k_d2ia_correction 1
#define def_k_d2ia_direction 2
#define def_k_d2ia_scale 3
#define def_k_d2ia_observations 4
#define def_k_d2ia_mass 5
#define def_k_d2ia_reduced_norm 6
#define def_k_d2ia_dimension 7
#define def_k_d2ia_representation 8
#define def_k_d2ia_beta_correction 9
#define def_k_d2ia_beta_direction 10
#define def_k_d2ia_beta_magnitude 11
#define def_k_d2ia_phase 12
#define def_k_D2SkillGatherCorrection 299
#define def_k_d2gc_top 0
#define def_k_d2gc_corrections 1
#define def_k_d2gc_directions 2
#define def_k_d2gc_scales 3
#define def_k_d2gc_selected_correction 4
#define def_k_d2gc_selected_slot 5
#define def_k_d2gc_selected_score 6
#define def_k_d2gc_uses 7
#define def_k_d2gc_diagnostics 8
#define def_k_d2gc_slots 9
#define def_k_d2gc_dimension 10
#define def_k_d2gc_representation 11
#define def_k_d2gc_alpha 12
#define def_k_d2gc_retrieved 13
#define def_k_d2gc_mark_retrieved 14
//--- D2Skill staged bank update. Scratch is device-only and is never saved.
#define def_k_D2SkillAgeLifecycle 295
#define def_k_d2al_used 0
#define def_k_d2al_state 1
#define def_k_d2al_age 2
#define def_k_d2al_protection 3
#define def_k_d2al_utility 4
#define def_k_d2al_free_scores 5
#define def_k_d2al_eviction_scores 6
#define def_k_d2al_slots 7
#define def_k_d2al_inactivity_age 8
#define def_k_d2al_retrieved 9
#define def_k_d2al_candidate_scores 10
#define def_k_D2SkillMetricPartial 300
#define def_k_d2mp_query 0
#define def_k_d2mp_gradient 1
#define def_k_d2mp_selected_slot 2
#define def_k_d2mp_keys 3
#define def_k_d2mp_directions 4
#define def_k_d2mp_used 5
#define def_k_d2mp_candidate_top 6
#define def_k_d2mp_candidate_key 7
#define def_k_d2mp_candidate_direction 8
#define def_k_d2mp_partials 9
#define def_k_d2mp_slots 10
#define def_k_d2mp_dimension 11
#define def_k_D2SkillMetricReduce 301
#define def_k_d2mr_partials 0
#define def_k_d2mr_metrics 1
#define def_k_d2mr_batch_count 2
#define def_k_d2mr_input_count 3
#define def_k_d2mr_fields 4
#define def_k_d2mr_input_offset 5
#define def_k_d2mr_output_offset 6
#define def_k_d2mr_max_field_a 7
#define def_k_d2mr_max_field_b 8
#define def_k_d2mr_final_output 9
#define def_k_D2SkillCandidateLeader 302
#define def_k_d2cl_selected_slot 0
#define def_k_d2cl_used 1
#define def_k_d2cl_scales 2
#define def_k_d2cl_observations 3
#define def_k_d2cl_mass 4
#define def_k_d2cl_age 5
#define def_k_d2cl_candidate_streak 6
#define def_k_d2cl_candidate_valid 7
#define def_k_d2cl_candidate_scale 8
#define def_k_d2cl_metrics 9
#define def_k_d2cl_free_top 10
#define def_k_d2cl_eviction_top 11
#define def_k_d2cl_decision 12
#define def_k_d2cl_diagnostics 13
#define def_k_d2cl_slots 14
#define def_k_d2cl_representation 15
#define def_k_d2cl_beta_magnitude 16
#define def_k_d2cl_max_correction 17
#define def_k_d2cl_min_confirmations 18
#define def_k_d2cl_similarity_threshold 19
#define def_k_d2cl_direction_threshold 20
#define def_k_d2cl_candidate_top 21
#define def_k_d2cl_candidate_protection 22
#define def_k_D2SkillVectorUpdate 303
#define def_k_d2vu_query 0
#define def_k_d2vu_gradient 1
#define def_k_d2vu_keys 2
#define def_k_d2vu_corrections 3
#define def_k_d2vu_directions 4
#define def_k_d2vu_scales 5
#define def_k_d2vu_candidate_key 6
#define def_k_d2vu_candidate_direction 7
#define def_k_d2vu_candidate_scale 8
#define def_k_d2vu_decision 9
#define def_k_d2vu_reduced_norm 10
#define def_k_d2vu_dimension 11
#define def_k_d2vu_representation 12
#define def_k_d2vu_beta_correction 13
#define def_k_d2vu_beta_direction 14
#define def_k_d2vu_beta_key 15
#define def_k_d2vu_max_correction 16
#define def_k_d2vu_phase 17
#define def_k_D2SkillPromoteSlot 304
#define def_k_d2ps_scales 0
#define def_k_d2ps_utility 1
#define def_k_d2ps_observations 2
#define def_k_d2ps_uses 3
#define def_k_d2ps_mass 4
#define def_k_d2ps_used 5
#define def_k_d2ps_state 6
#define def_k_d2ps_age 7
#define def_k_d2ps_protection 8
#define def_k_d2ps_candidate_streak 9
#define def_k_d2ps_candidate_valid 10
#define def_k_d2ps_candidate_scale 11
#define def_k_d2ps_decision 12
#define def_k_d2ps_diagnostics 13
#define def_k_d2ps_slots 14
#define def_k_d2ps_protection_age 15
#define def_k_D2SkillDiagnosticsPartial 305
#define def_k_d2dp_norms 0
#define def_k_d2dp_utility 1
#define def_k_d2dp_uses 2
#define def_k_d2dp_used 3
#define def_k_d2dp_state 4
#define def_k_d2dp_age 5
#define def_k_d2dp_partials 6
#define def_k_d2dp_slots 7
#define def_k_D2SkillDiagnosticsReduce 306
#define def_k_d2dr_totals 0
#define def_k_d2dr_diagnostics 1
#define def_k_d2dr_utility_distribution 2
#define def_k_d2dr_usage_distribution 3
#define def_k_d2dr_slots 4
#define def_k_D2SkillBankVectorPartial 307
#define def_k_d2bvp_corrections 0
#define def_k_d2bvp_directions 1
#define def_k_d2bvp_decision 2
#define def_k_d2bvp_partials 3
#define def_k_d2bvp_dimension 4
#define def_k_d2bvp_representation 5
#define def_k_d2bvp_output_offset 6
#define def_k_CopyBufferRaw 308
#define def_k_copy_raw_source 0
#define def_k_copy_raw_destination 1
#define def_k_copy_raw_total 2
//--- D2Skill terminal hindsight kernels.
#define def_k_D2SkillInfluenceTotal 309
#define def_k_d2it_influence 0
#define def_k_d2it_used 1
#define def_k_d2it_state 2
#define def_k_d2it_partials 3
#define def_k_d2it_slots 4
#define def_k_D2SkillResetInfluence 310
#define def_k_d2ri_influence 0
#define def_k_d2ri_slots 1
#define def_k_D2SkillScoreFinalize 311
#define def_k_d2sf_metrics 0
#define def_k_d2sf_utility 1
#define def_k_d2sf_used 2
#define def_k_d2sf_state 3
#define def_k_d2sf_scores 4
#define def_k_d2sf_slots 5
#define def_k_d2sf_similarity_threshold 6
#define def_k_d2sf_utility_weight 7
#define def_k_d2sf_min_utility 8
#define def_k_d2sf_utility_policy 9
#define def_k_D2SkillDiagnosticsNormPartial 312
#define def_k_d2dnp_corrections 0
#define def_k_d2dnp_partials 1
#define def_k_d2dnp_slots 2
#define def_k_d2dnp_dimension 3
//--- Gradient-to-correction influence is reduced entirely on the device.
#define def_k_D2SkillInfluencePartial 313
#define def_k_d2sip_gradient 0
#define def_k_d2sip_correction 1
#define def_k_d2sip_partials 2
#define def_k_d2sip_dimension 3
#define def_k_D2SkillInfluenceAccumulate 314
#define def_k_d2sia_selected_slot 0
#define def_k_d2sia_reduced_influence 1
#define def_k_d2sia_influence 2
#define def_k_d2sia_slots 3
#define def_k_D2SkillDirectionEMA 315
#define def_k_d2de_gradient 0
#define def_k_d2de_directions 1
#define def_k_d2de_selected_slot 2
#define def_k_d2de_used 3
#define def_k_d2de_state 4
#define def_k_d2de_reduced_norm 5
#define def_k_d2de_slots 6
#define def_k_d2de_dimension 7
#define def_k_d2de_beta_direction 8
#define def_k_d2de_partials 9
#define def_k_d2de_phase 10
#define def_k_D2SkillNormalizeDirection 316
#define def_k_d2nd_directions 0
#define def_k_d2nd_selected_slot 1
#define def_k_d2nd_used 2
#define def_k_d2nd_state 3
#define def_k_d2nd_partials 4
#define def_k_d2nd_reduced_norm 5
#define def_k_d2nd_slots 6
#define def_k_d2nd_dimension 7
#define def_k_d2nd_phase 8
//--- OMPB owns exactly these three device kernels. All affine, gate and
//--- history operations deliberately reuse the generic library primitives.
#define def_k_OMPBDisagreement 317
#define def_k_ompbd_reference 0
#define def_k_ompbd_current 1
#define def_k_ompbd_output 2
#define def_k_ompbd_source_states 3
#define def_k_ompbd_target_states 4
#define def_k_ompbd_samples 5
#define def_k_ompbd_inv_tau2 6
#define def_k_ompbd_gate 7
#define def_k_ompbd_alpha_gradient 8
#define def_k_ompbd_gate_stride 9
#define def_k_ompbd_multiplier 10
#define def_k_ompbd_numeric_flags 11
#define def_k_ompbd_flags_enabled 12
#define def_k_OMPBDisagreementGrad 318
#define def_k_ompbdg_corrections 0
#define def_k_ompbdg_distance 1
#define def_k_ompbdg_disagreement 2
#define def_k_ompbdg_gradient 3
#define def_k_ompbdg_states 4
#define def_k_ompbdg_variables 5
#define def_k_ompbdg_samples 6
#define def_k_ompbdg_dimension 7
#define def_k_ompbdg_source_sign 8
#define def_k_ompbdg_multiplier 9
#define def_k_ompbdg_inv_tau2 10
#define def_k_ompbdg_gate 11
#define def_k_ompbdg_gate_stride 12
#define def_k_ompbdg_numeric_flags 13
#define def_k_ompbdg_flags_enabled 14
#define def_k_OMPBGaussianKL 319
#define def_k_ompbkl_mean 0
#define def_k_ompbkl_logvar 1
#define def_k_ompbkl_output 2
#define def_k_ompbkl_total 3
//+------------------------------------------------------------------+
//| DPCC contract constants and public modes |
//+------------------------------------------------------------------+
#define DPCC_CONTRACT_VERSION 2
#define DPCC_BINARY_LAYER_VERSION 3
#define DPCC_FINANCIAL_ENVELOPE_VERSION 4
#define DPCC_MARGIN_EXTERNAL_V2 0
#define DPCC_MARGIN_FOREX_SPOT_V1 1
#define DPCC_MARGIN_HISTORICAL_CLOSE_V1 2
#define DPCC_HISTORICAL_FX_ENVELOPE_VERSION 5
#define DPCC_ACTION_COMPONENTS 6
#define DPCC_STATE_COMPONENTS 13
#define DPCC_CONTEXT_SECTIONS 11
enum ENUM_DPCC_MODE
{
DPCC_P0 = 0,
DPCC_P1 = 1,
DPCC_P2 = 2
};
//+------------------------------------------------------------------+
//| DPCC public completion statuses |
//+------------------------------------------------------------------+
enum ENUM_DPCC_STATUS
{
DPCC_OK = 0,
DPCC_NO_FEASIBLE_CANDIDATE = 1,
DPCC_SEARCH_EXHAUSTED = 2,
DPCC_INVALID_INPUT = 3,
DPCC_CONTRACT_MISMATCH = 4,
DPCC_NUMERIC_ERROR = 5,
DPCC_OPENCL_ERROR = 6,
DPCC_BACKWARD_UNSUPPORTED = 7
};
//+------------------------------------------------------------------+
//| DPCC internal account evaluation phases |
//+------------------------------------------------------------------+
enum ENUM_DPCC_PHASE
{
PRE_ACTION = 0,
AFTER_ACTION = 1,
INTRABAR = 2,
BAR_END = 3
};
//+------------------------------------------------------------------+
//| OMPB runtime mode |
//+------------------------------------------------------------------+
//| Declares the ENUM_OMPB_MODE enumeration. |
//+------------------------------------------------------------------+
enum ENUM_OMPB_MODE
{
OMPB_BYPASS = 0,
OMPB_REFERENCE,
OMPB_CALIBRATE,
OMPB_INFERENCE
};
//+------------------------------------------------------------------+
//| Enum of activation formula used |
//+------------------------------------------------------------------+
//--- OpenCL program resource.
#resource "..\\NeuroNet_DNG\\NeuroNet.cl" as string cl_program
enum ENUM_ACTIVATION
{
//--- Without activation formula
None = -1,
//--- Use \f$tanh(x)\f$ for activation neuron
TANH = 0,
//--- Use \f$\frac{1}{1+e^x}\f$ for activation neuron
SIGMOID = 1,
//--- For activation neuron use LReLU \f[\left\{ \begin{array} a x>=0, \ x \\x<0, \ 0.01*x \end{array} \right.\f]
LReLU = 2,
SoftPlus = 3,
GELU = 4,
MinusSoftPlus = 5,
ELU = 6,
};
//+------------------------------------------------------------------+
//| Enum of optimization method used |
//+------------------------------------------------------------------+
enum ENUM_OPTIMIZATION
{
//--- Stochastic gradient descent
SGD = 0,
//--- Adam
ADAM = 1,
//--- Least Squares
LS = 2,
//--- Adam-mini
ADAM_MINI = 3
};
//---@}
//---\class CConnection
//---\brief Class of connection to anothe neuron
//---\details Detailed description on <A HREF="https://www.mql5.com/ru/articles/7447#para51">the link.</A>
//+------------------------------------------------------------------+
//| DPCC rollout registration and explicit profile encodings |
//+------------------------------------------------------------------+
#define defNeuronScenarioRolloutOCL 0x8123
#define defNeuronPlanProjectionOCL 0x8124
#define defNeuronPlanProjectionTraceOCL 0x8129
#define DPCC_PROJECTION_TRACE_ABI 1
#define DPCC_TRACE_CONTRACT_MISMATCH DPCC_CONTRACT_MISMATCH
#define def_k_DPCCProjectionTrace 376
#define def_k_DPCCProjectionTraceVJP 377
#define DPCC_TW_CURRENT_INDEX 0
#define DPCC_TW_CURRENT_COEFFICIENT 1
#define DPCC_TW_PROPOSAL_INDEX 2
#define DPCC_TW_PROPOSAL_COEFFICIENT 3
#define DPCC_TW_FRAME_INDEX 4
#define DPCC_TW_FRAME_COEFFICIENT 5
#define DPCC_TW_WAVE 6
#define DPCC_TW_ERROR 7
#define DPCC_TW_COMMON 8
#define DPCC_TW_COUNT 9
#define DPCC_PRICE_BID 0
#define DPCC_PRICE_LAST 1
#define DPCC_QUOTE_BID_IDENTITY_V1 0
#define DPCC_QUOTE_LAST_FROZEN_OFFSET_V1 1
#define DPCC_EVENT_LOCAL_TWO_PATH_V1 1
#define DPCC_NORMALIZATION_CAUSAL_AFFINE_V2 1
#define DPCC_LOSS_NORMALIZED 1
#define DPCC_RANDOM_INDEXED_NORMAL_V1 1
#define DPCC_LAYER_CONSTRUCTED 0
#define DPCC_LAYER_SHAPED 1
#define DPCC_LAYER_CONFIGURED 2
#define DPCC_LAYER_READY 3
#define DPCC_LAYER_FAILED 4
#define DPCC_CONTINUATION_ACCOUNT_OFFSET 0
#define DPCC_CONTINUATION_EQUITY_ANCHOR 24
#define DPCC_CONTINUATION_ENTRY_INTEREST 25
#define DPCC_CONTINUATION_NATIVE_MARK 26
#define DPCC_CONTINUATION_ACCRUED_INTEREST 27
#define DPCC_CONTINUATION_MAX_DRAWDOWN 28
#define DPCC_CONTINUATION_CURRENCY_DIGITS 29
#define DPCC_CONTINUATION_SOURCE_ACTION 30
#define DPCC_CONTINUATION_EXIT_KIND 31
#define DPCC_CONTINUATION_NUMERIC_STATUS 32
#define DPCC_CONTINUATION_FLOATS 33
#define DPCC_NATIVE_RISK_CONTINUATION_FLOATS 20
#define DPCC_NATIVE_PENDING_PHASE_FLOATS 21
#define def_k_DPCCRollout 328
#define def_k_DPCCRolloutReduce 329
#define def_k_DPCCRolloutStep 368
#define def_k_DPCCRolloutPrepareOpen 369
#define def_k_DPCCRolloutCommitAction 370
#define def_k_DPCCProjectionInit 330
#define def_k_DPCCProjectionSummary 331
#define def_k_DPCCProjectionPrepare 332
#define def_k_DPCCProjectionProposals 333
#define def_k_DPCCProjectionSelect 334
#define def_k_DPCCProjectionPublish 335
#define def_k_DPCCProjectionReduce 336
#define DPCC_PROJECTION_CONTROL_STRIDE 24
#define DPCC_PROJECTION_SUMMARY_STRIDE 12
#define DPCC_PROJECTION_DIAGNOSTIC_STRIDE 12
union UDPCCDoubleBits
{
double value;
ulong bits;
};
//+------------------------------------------------------------------+
//| DPCC shared exact-chain kernel identifiers and argument order |
//+------------------------------------------------------------------+
#define def_k_DPCCDecoderPack 337
#define def_k_DPCCDecoderPack_source 0
#define def_k_DPCCDecoderPack_destination 1
#define def_k_DPCCDecoderPack_flags 2
#define def_k_DPCCDecoderPack_K 3
#define def_k_DPCCDecoderPack_V 4
#define def_k_DPCCDecoderPack_H 5
#define def_k_DPCCDecoderPack_D 6
#define def_k_DPCCDecoderPack_inverse 7
#define def_k_DPCCActivationForward 338
#define def_k_DPCCActivationForward_preactivation 0
#define def_k_DPCCActivationForward_output 1
#define def_k_DPCCActivationForward_flags 2
#define def_k_DPCCActivationForward_activation 3
#define def_k_DPCCActivationForward_count 4
#define def_k_DPCCActivationGradient 339
#define def_k_DPCCActivationGradient_preactivation 0
#define def_k_DPCCActivationGradient_upstream 1
#define def_k_DPCCActivationGradient_input_gradient 2
#define def_k_DPCCActivationGradient_flags 3
#define def_k_DPCCActivationGradient_activation 4
#define def_k_DPCCActivationGradient_count 5
#define def_k_DPCCSharedAffineInputGradient 340
#define def_k_DPCCSharedAffineInputGradient_weights 0
#define def_k_DPCCSharedAffineInputGradient_upstream 1
#define def_k_DPCCSharedAffineInputGradient_input_gradient 2
#define def_k_DPCCSharedAffineInputGradient_flags 3
#define def_k_DPCCSharedAffineInputGradient_tokens 4
#define def_k_DPCCSharedAffineInputGradient_input_width 5
#define def_k_DPCCSharedAffineInputGradient_output_width 6
#define def_k_DPCCSharedAffineForwardPreflight 341
#define def_k_DPCCSharedAffineForwardPreflight_weights 0
#define def_k_DPCCSharedAffineForwardPreflight_input 1
#define def_k_DPCCSharedAffineForwardPreflight_flags 2
#define def_k_DPCCSharedAffineForwardPreflight_tokens 3
#define def_k_DPCCSharedAffineForwardPreflight_input_width 4
#define def_k_DPCCSharedAffineForwardPreflight_output_width 5
#define def_k_DPCCSharedAffineAdamPreflight 342
#define def_k_DPCCSharedAffineAdamPreflight_weights 0
#define def_k_DPCCSharedAffineAdamPreflight_gradient 1
#define def_k_DPCCSharedAffineAdamPreflight_input 2
#define def_k_DPCCSharedAffineAdamPreflight_momentum1 3
#define def_k_DPCCSharedAffineAdamPreflight_momentum2 4
#define def_k_DPCCSharedAffineAdamPreflight_flags 5
#define def_k_DPCCSharedAffineAdamPreflight_tokens 6
#define def_k_DPCCSharedAffineAdamPreflight_input_width 7
#define def_k_DPCCSharedAffineAdamPreflight_output_width 8
#define def_k_DPCCSharedAffineAdamPreflight_learning_rate 9
#define def_k_DPCCSharedAffineAdamPreflight_beta1 10
#define def_k_DPCCSharedAffineAdamPreflight_beta2 11
#define def_k_DPCCSharedAffineAdamPreflight_frame_tag 0x80000000
#define def_k_DPCCSharedAffineAdamPreflight_frame_mode_shift 29
#define def_k_DPCCSharedAffineAdamPreflight_frame_count_mask 0x1FFFFFFF
#define def_k_DPCCSharedAffineAdamPreflight_accumulate 1
#define def_k_DPCCSharedAffineAdamPreflight_update_preflight 2
#define def_k_DPCCSharedAffineAdamPreflight_update_apply 3
#define def_k_DPCCOperatorReduce 343
#define def_k_DPCCOperatorReduce_flags 0
#define def_k_DPCCOperatorReduce_status 1
#define def_k_DPCCOperatorReduce_count 2
//+------------------------------------------------------------------+
//| DPCC decoder type and saved-source identity operator |
//+------------------------------------------------------------------+
#define defNeuronScenarioDecoderOCL 0x8122
#define def_k_DPCCDecoderSnapshotCheck 344
#define def_k_DPCCDecoderSnapshotCheck_sourceKVHD 0
#define def_k_DPCCDecoderSnapshotCheck_packedKHVD 1
#define def_k_DPCCDecoderSnapshotCheck_flags 2
#define def_k_DPCCDecoderSnapshotCheck_K 3
#define def_k_DPCCDecoderSnapshotCheck_V 4
#define def_k_DPCCDecoderSnapshotCheck_H 5
#define def_k_DPCCDecoderSnapshotCheck_D 6
//+------------------------------------------------------------------+
//| DPCC exact denoiser kernel IDs and argument order |
//+------------------------------------------------------------------+
#define def_k_DPCC_MHFlashAttentionGradient 345
#define def_k_DPCC_MHFlashAttentionGradient_query 0
#define def_k_DPCC_MHFlashAttentionGradient_query_gr 1
#define def_k_DPCC_MHFlashAttentionGradient_key_value 2
#define def_k_DPCC_MHFlashAttentionGradient_key_value_gr 3
#define def_k_DPCC_MHFlashAttentionGradient_logsumexp 4
#define def_k_DPCC_MHFlashAttentionGradient_output 5
#define def_k_DPCC_MHFlashAttentionGradient_output_gr 6
#define def_k_DPCC_MHFlashAttentionGradient_dimension 7
#define def_k_DPCC_MHFlashAttentionGradient_total_q 8
#define def_k_DPCC_MHFlashAttentionGradient_total_kv 9
#define def_k_DPCC_MHFlashAttentionGradient_mask_future 10
#define def_k_DPCCAttentionPreflight 346
#define def_k_DPCCAttentionPreflight_query 0
#define def_k_DPCCAttentionPreflight_key_value 1
#define def_k_DPCCAttentionPreflight_logsumexp 2
#define def_k_DPCCAttentionPreflight_output 3
#define def_k_DPCCAttentionPreflight_output_gr 4
#define def_k_DPCCAttentionPreflight_flags 5
#define def_k_DPCCAttentionPreflight_dimension 6
#define def_k_DPCCAttentionPreflight_total_q 7
#define def_k_DPCCAttentionPreflight_total_kv 8
#define def_k_DPCCAttentionPreflight_mask_future 9
#define def_k_DPCCAttentionPreflight_mode 10
#define def_k_DPCCDenoiserSelfLayout 347
#define def_k_DPCCDenoiserSelfLayout_source0 0
#define def_k_DPCCDenoiserSelfLayout_source1 1
#define def_k_DPCCDenoiserSelfLayout_source2 2
#define def_k_DPCCDenoiserSelfLayout_destination0 3
#define def_k_DPCCDenoiserSelfLayout_destination1 4
#define def_k_DPCCDenoiserSelfLayout_flags 5
#define def_k_DPCCDenoiserSelfLayout_L 6
#define def_k_DPCCDenoiserSelfLayout_N 7
#define def_k_DPCCDenoiserSelfLayout_heads 8
#define def_k_DPCCDenoiserSelfLayout_dimension 9
#define def_k_DPCCDenoiserSelfLayout_mode 10
#define def_k_DPCCDenoiserCrossLayout 348
#define def_k_DPCCDenoiserCrossLayout_source0 0
#define def_k_DPCCDenoiserCrossLayout_source1 1
#define def_k_DPCCDenoiserCrossLayout_destination0 2
#define def_k_DPCCDenoiserCrossLayout_destination1 3
#define def_k_DPCCDenoiserCrossLayout_flags 4
#define def_k_DPCCDenoiserCrossLayout_L 5
#define def_k_DPCCDenoiserCrossLayout_R 6
#define def_k_DPCCDenoiserCrossLayout_H 7
#define def_k_DPCCDenoiserCrossLayout_K 8
#define def_k_DPCCDenoiserCrossLayout_heads 9
#define def_k_DPCCDenoiserCrossLayout_dimension 10
#define def_k_DPCCDenoiserCrossLayout_mode 11
#define def_k_DPCCDenoiserPairMap 349
#define def_k_DPCCDenoiserPairMap_source 0
#define def_k_DPCCDenoiserPairMap_destination 1
#define def_k_DPCCDenoiserPairMap_flags 2
#define def_k_DPCCDenoiserPairMap_L 3
#define def_k_DPCCDenoiserPairMap_H 4
#define def_k_DPCCDenoiserPairMap_W 5
#define def_k_DPCCDenoiserPairMap_mode 6
#define def_k_DPCCDenoiserPairMap_forward_pad 0
#define def_k_DPCCDenoiserPairMap_forward_crop 1
#define def_k_DPCCDenoiserPairMap_backward_crop 2
#define def_k_DPCCDenoiserPairMap_backward_pad 3
#define def_k_DPCCDenoiserBroadcastGradient 350
#define def_k_DPCCDenoiserBroadcastGradient_source 0
#define def_k_DPCCDenoiserBroadcastGradient_destination 1
#define def_k_DPCCDenoiserBroadcastGradient_flags 2
#define def_k_DPCCDenoiserBroadcastGradient_rows 3
#define def_k_DPCCDenoiserBroadcastGradient_width 4
//+------------------------------------------------------------------+
//| Exact conditioned denoiser public type |
//+------------------------------------------------------------------+
#define defNeuronPlanDenoiserOCL 0x8125
//+------------------------------------------------------------------+
//| DPCC decoder rho loss kernel IDs and argument order |
//+------------------------------------------------------------------+
#define def_k_DPCCDecoderRhoLoss 351
#define def_k_DPCCDecoderRhoLossReduce 352
#define defNeuronDPCCOCL 0x8126
#define defNeuronDPCCActorOCL 0x8127
//+------------------------------------------------------------------+
//| Scenario forecast price type and phase contract |
//+------------------------------------------------------------------+
#define defNeuronScenarioForecastPriceOCL 0x8128
#define defScenarioForecastPriceABI 1
#define defNeuronScenarioCrossAttentionPriceOCL 0x812A
#define defScenarioCrossAttentionPriceABI 1
#define defScenarioDecoderPriceABI 3
#define def_k_DPCCDecoderPricePath 371
#define def_k_DPCCDecoderPriceNative 372
#define def_k_DPCCDecoderPriceGradient 373
#define def_k_DPCCDecoderPriceLoss 374
#define def_k_DPCCForecastPriceBridge 375
#define def_k_DPCCDenoiserFrameCondition 378
#define def_k_DPCCDenoiserFrameLayout 379
#define def_k_DPCCDenoiserFrameCondition_mode 10
#define def_k_DPCCDenoiserFrameCondition_forward 0
#define def_k_DPCCDenoiserFrameCondition_backward 1
#define def_k_DPCCDenoiserFrameLayout_key 0
#define def_k_DPCCDenoiserFrameLayout_value 1
#define def_k_DPCCDenoiserFrameLayout_query 2
#define def_k_DPCCDenoiserFrameLayout_pi 3
#define def_k_DPCCDenoiserFrameLayout_packed_query 4
#define def_k_DPCCDenoiserFrameLayout_packed_kv 5
#define def_k_DPCCDenoiserFrameLayout_weighted 6
#define def_k_DPCCDenoiserFrameLayout_flags 7
#define def_k_DPCCDenoiserFrameLayout_K 8
#define def_k_DPCCDenoiserFrameLayout_tokens 9
#define def_k_DPCCDenoiserFrameLayout_width 10
#define def_k_DPCCDenoiserFrameLayout_heads 11
#define def_k_DPCCDenoiserFrameLayout_mode 12
#define def_k_DPCCDenoiserFrameLayout_forward_attention 0
#define def_k_DPCCDenoiserFrameLayout_forward_weighted 1
#define def_k_DPCCDenoiserFrameLayout_forward_plan_prefix 2
#define def_k_DPCCDenoiserFrameLayout_backward_weighted 3
#define def_k_DPCCDenoiserFrameLayout_backward_attention 4
#define def_k_DPCCDenoiserFrameLayout_backward_plan_prefix 5
#define defForecastPriceLatentPrepare 1
#define defForecastPriceJoint 2
#define defForecastPriceOMPBCalibrate 3
#define defForecastPriceAdapt 4
#define defForecastPriceVerify 5
#define defForecastPriceFrameFree 0
#define defForecastPriceFrameLive 1
#define defForecastPriceFrameFailed 4
#define def_k_DPCCCompositeNormOptions 353
#define def_k_DPCCCompositeQuoteR 354
#define def_k_DPCCCompositeCondition 355
#define def_k_DPCCCompositeInitialNoise 356
#define def_k_DPCCCompositeReverse 357
#define def_k_DPCCCompositeActionAffine 358
#define def_k_DPCCCompositeProjectionMask 359
#define def_k_DPCCCompositeSummary 360
#define def_k_DPCCCompositeBindTimes 361
#define def_k_DPCCCompositeSnapshotIdentity 362
#define def_k_DPCCCompositePad 363
#define def_k_DPCCCompositePublish 364
#define def_k_DPCCDenoiserEpsilonMSE 365
#define def_k_DPCCDenoiserPrepare 366
#define def_k_DPCCDecoderNativeTarget 367
//--- Read-only AC-SRM candidate-row operations.
#define def_k_DPCCQRowsDense 380
#define def_k_DPCCQRowsConv 381
#define def_k_DPCCQRowsMultiWindow 382
#define def_k_DPCCQRowsBatchNorm 383
#define def_k_DPCCQRowsSpike 384
#define def_k_DPCCQRowsMap 385
#define def_k_DPCCQRowsAttention 386
#define def_k_DPCCQRowsSoftmax 387
#define def_k_DPCCQRowsCosine 388
#define def_k_DPCCQRowsValidate 389
#define def_k_DPCCQRowsJoin 390
#define def_k_DPCCQRowsRank 391
#define def_k_DPCCAction6PackCondition 392
#define def_k_DPCCAction6InitialNoise 393
#define def_k_DPCCAction6Reverse 394
#define def_k_DPCCAction6CandidateMask 395
//--- ABI3-only physical Action6 backward: selected seed and exact unroll arithmetic.
#define def_k_DPCCAction6GradientSeed 396
#define def_k_DPCCAction6GradientStep 397
#define def_k_DPCCFullPlanGradientSeed 398
#define def_k_DPCCAction6GradientStep_affine_pullback 0
#define def_k_DPCCAction6GradientStep_normalization_pullback 1
#define def_k_DPCCAction6GradientStep_ddpm_split 2
#define def_k_DPCCAction6GradientStep_branch_sum 3
#define def_k_DPCCAction6GradientStep_sigmoid_pullback 4
#define def_k_DPCCAction6GradientStep_final_roundtrip_pullback 5
#endif // NEURONET_DEFINITIONS_MQH
#ifndef NEURONET_BUILDING_FACADE
#include "NeuroNet.mqh"
#endif // NEURONET_BUILDING_FACADE
//+------------------------------------------------------------------+