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This commit is contained in:
Gabriele Cosmo
2022-07-01 10:44:02 +02:00
parent b3bf75a2a1
commit c07cea1fe0
2172 changed files with 183300 additions and 123938 deletions
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examples/extended/parameterisations/Par04/src/Par04OnnxInference.cc
+12 -13
View File
@@ -24,10 +24,15 @@
// ********************************************************************
//
#ifdef USE_INFERENCE_ONNX
#include "Par04InferenceInterface.hh"
#include "G4RotationMatrix.hh"
#include "Par04OnnxInference.hh"
#include <cassert>
#include <core/session/onnxruntime_cxx_api.h> // for Value, Session, Env
#include <algorithm> // for copy, max
#include <cassert> // for assert
#include <cstddef> // for size_t
#include <cstdint> // for int64_t
#include <utility> // for move
#include "Par04InferenceInterface.hh" // for Par04InferenceInterface
//....oooOO0OOooo........oooOO0OOooo........oooOO0OOooo........oooOO0OOooo......
@@ -61,7 +66,7 @@ Par04OnnxInference::Par04OnnxInference(G4String modelPath, G4int profileFlag, G4
//....oooOO0OOooo........oooOO0OOooo........oooOO0OOooo........oooOO0OOooo......
void Par04OnnxInference::RunInference(vector<float> aGenVector, std::vector<G4double>& aEnergies,
void Par04OnnxInference::RunInference(std::vector<float> aGenVector, std::vector<G4double>& aEnergies,
int aSize)
{
// input nodes
@@ -76,9 +81,8 @@ void Par04OnnxInference::RunInference(vector<float> aGenVector, std::vector<G4do
input_node_names[i] = input_name;
Ort::TypeInfo type_info = fSession->GetInputTypeInfo(i);
auto tensor_info = type_info.GetTensorTypeAndShapeInfo();
ONNXTensorElementDataType type = tensor_info.GetElementType();
input_node_dims = tensor_info.GetShape();
for(int j = 0; j < input_node_dims.size(); j++)
for(std::size_t j = 0; j < input_node_dims.size(); j++)
{
if(input_node_dims[j] < 0)
input_node_dims[j] = 1;
@@ -94,9 +98,8 @@ void Par04OnnxInference::RunInference(vector<float> aGenVector, std::vector<G4do
output_node_names[i] = output_name;
Ort::TypeInfo type_info = fSession->GetOutputTypeInfo(i);
auto tensor_info = type_info.GetTensorTypeAndShapeInfo();
ONNXTensorElementDataType type = tensor_info.GetElementType();
output_node_dims = tensor_info.GetShape();
for(int j = 0; j < output_node_dims.size(); j++)
for(std::size_t j = 0; j < output_node_dims.size(); j++)
{
if(output_node_dims[j] < 0)
output_node_dims[j] = 1;
@@ -104,13 +107,9 @@ void Par04OnnxInference::RunInference(vector<float> aGenVector, std::vector<G4do
}
// create input tensor object from data values
float genVector[(unsigned) (aGenVector.size())];
for(int i = 0; i < (unsigned) (aGenVector.size()); i++)
genVector[i] = aGenVector[i];
int values_length = sizeof(genVector) / sizeof(genVector[0]);
std::vector<int64_t> dims = { 1, (unsigned) (aGenVector.size()) };
Ort::Value Input_noise_tensor =
Ort::Value::CreateTensor<float>(fInfo, genVector, values_length, dims.data(), dims.size());
Ort::Value::CreateTensor<float>(fInfo, aGenVector.data(), aGenVector.size(), dims.data(), dims.size());
assert(Input_noise_tensor.IsTensor());
std::vector<Ort::Value> ort_inputs;
ort_inputs.push_back(std::move(Input_noise_tensor));