1#ifndef TMVA_SOFIE_ROPERATOR_Swish
2#define TMVA_SOFIE_ROPERATOR_Swish
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 {
42 if (model.CheckIfTensorAlreadyExist(
fNX) ==
false){
43 throw std::runtime_error(
"TMVA SOFIE Swish Op Input Tensor is not found in model");
46 model.AddIntermediateTensor(
fNY, model.GetTensorType(
fNX),
fShape);
50 std::string
Generate(std::string OpName)
override {
51 OpName =
"op_" + OpName;
53 throw std::runtime_error(
"TMVA SOFIE Operator Swish called to Generate without being initialized first");
55 std::stringstream out;
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";
66 std::vector<std::string>
GetStdLibs()
override {
return { std::string(
"cmath") };}
std::vector< ETensorType > TypeInference(std::vector< ETensorType > input) override
std::string Generate(std::string OpName) override
void Initialize(RModel &model) override
ROperator_Swish(std::string nameX, std::string nameY)
std::vector< std::vector< size_t > > ShapeInference(std::vector< std::vector< size_t > > input) override
std::vector< size_t > fShape
std::vector< std::string > GetStdLibs() override
std::vector< std::string_view > fInputTensorNames
std::vector< std::string_view > fOutputTensorNames
create variable transformations