1#ifndef TMVA_SOFIE_ROPERATOR_Erf
2#define TMVA_SOFIE_ROPERATOR_Erf
32 std::vector<ETensorType>
TypeInference(std::vector<ETensorType> input)
override {
36 std::vector<std::vector<size_t>>
ShapeInference(std::vector<std::vector<size_t>> input)
override {
43 if (model.CheckIfTensorAlreadyExist(
fNX) ==
false){
44 throw std::runtime_error(
"TMVA SOFIE Erf Op Input Tensor is not found in model");
47 model.AddIntermediateTensor(
fNY, model.GetTensorType(
fNX),
fShape);
51 std::string
Generate(std::string OpName)
override {
52 OpName =
"op_" + OpName;
54 throw std::runtime_error(
"TMVA SOFIE Erf operator called to Generate without being initialized first");
56 std::stringstream out;
58 out <<
"\n//------ ERF\n";
59 out <<
SP <<
"for (int id = 0; id < " << length <<
" ; id++){\n";
60 out <<
SP <<
SP <<
"tensor_" <<
fNY <<
"[id] = std::erf(tensor_" <<
fNX <<
"[id]);\n";
65 std::vector<std::string>
GetStdLibs()
override {
return { std::string(
"cmath") };}
ROperator_Erf(std::string nameX, std::string nameY)
std::string Generate(std::string OpName) override
std::vector< std::string > GetStdLibs() override
void Initialize(RModel &model) override
std::vector< size_t > fShape
std::vector< std::vector< size_t > > ShapeInference(std::vector< std::vector< size_t > > input) override
std::vector< ETensorType > TypeInference(std::vector< ETensorType > input) override
std::vector< std::string_view > fInputTensorNames
const std::string SP
space used to correctly indent the generated C++ code
std::vector< std::string_view > fOutputTensorNames
std::size_t ConvertShapeToLength(const std::vector< size_t > &shape)
create variable transformations