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ROperator_Swish.hxx
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1#ifndef TMVA_SOFIE_ROPERATOR_Swish
2#define TMVA_SOFIE_ROPERATOR_Swish
3
5#include "TMVA/ROperator.hxx"
6#include "TMVA/RModel.hxx"
7
8#include <sstream>
9
10namespace TMVA{
11namespace Experimental{
12namespace SOFIE{
13
14template <typename T>
16{
17
18private:
19
20 std::string fNX;
21 std::string fNY;
22 std::vector<size_t> fShape;
23
24public:
26 ROperator_Swish(std::string nameX, std::string nameY):
27 fNX(UTILITY::Clean_name(nameX)), fNY(UTILITY::Clean_name(nameY)){
30 }
31
32 std::vector<ETensorType> TypeInference(std::vector<ETensorType> input){
33 return input;
34 }
35
36 std::vector<std::vector<size_t>> ShapeInference(std::vector<std::vector<size_t>> input){
37 auto ret = input; //suggest copy to compiler
38 return ret;
39 }
40
41 void Initialize(RModel& model) override {
42 if (model.CheckIfTensorAlreadyExist(fNX) == false){ //input must be a graph input, or already initialized intermediate tensor
43 throw std::runtime_error("TMVA SOFIE Swish Op Input Tensor is not found in model");
44 }
45 fShape = model.GetTensorShape(fNX);
47 }
48
49
50 std::string Generate(std::string OpName){
51 OpName = "op_" + OpName;
52 if (fShape.empty()){
53 throw std::runtime_error("TMVA SOFIE Operator Swish called to Generate without being initialized first");
54 }
55 std::stringstream out;
56 int length = 1;
57 for(auto& i: fShape){
58 length *= i;
59 }
60 out << "\t" << "for (int id = 0; id < " << length << " ; id++){\n";
61 out << "\t\t" << "tensor_" << fNY << "[id] = tensor_" << fNX <<"[id] / (1 + std::exp( - tensor_" << fNX << "[id]));\n";
62 out << "\t}\n";
63 return out.str();
64 }
65
66 std::vector<std::string> GetStdLibs() { return { std::string("cmath") };}
67};
68
69}//SOFIE
70}//Experimental
71}//TMVA
72
73
74#endif //TMVA_SOFIE_ROPERATOR_Swish
ROOT::Detail::TRangeCast< T, true > TRangeDynCast
TRangeDynCast is an adapter class that allows the typed iteration through a TCollection.
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void input
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void char Point_t Rectangle_t WindowAttributes_t Float_t Float_t Float_t Int_t Int_t UInt_t UInt_t Rectangle_t Int_t Int_t Window_t TString Int_t GCValues_t GetPrimarySelectionOwner GetDisplay GetScreen GetColormap GetNativeEvent const char const char dpyName wid window const char font_name cursor keysym reg const char only_if_exist regb h Point_t winding char text const char depth char const char Int_t count const char ColorStruct_t color const char Pixmap_t Pixmap_t PictureAttributes_t attr const char char ret_data h unsigned char height h length
const ETensorType & GetTensorType(std::string name)
Definition RModel.cxx:94
void AddIntermediateTensor(std::string tensor_name, ETensorType type, std::vector< Dim > dim_shape)
Definition RModel.cxx:227
bool CheckIfTensorAlreadyExist(std::string tensor_name)
Definition RModel.cxx:122
const std::vector< size_t > & GetTensorShape(std::string name)
Definition RModel.cxx:56
std::vector< ETensorType > TypeInference(std::vector< ETensorType > input)
std::string Generate(std::string OpName)
ROperator_Swish(std::string nameX, std::string nameY)
std::vector< std::vector< size_t > > ShapeInference(std::vector< std::vector< size_t > > input)
std::vector< std::string_view > fInputTensorNames
Definition ROperator.hxx:46
std::vector< std::string_view > fOutputTensorNames
Definition ROperator.hxx:47
create variable transformations