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Merged
risinyoung merged 2 commits into from
Dec 23, 2023
Merged

modified to DF-ODENet v0.1 #399

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3495606
modified to DF-ODENet v0.1
risinyoung Dec 22, 2023
fbbdc85
modified to DF-ODENet v0.1
risinyoung Dec 22, 2023
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16 changes: 4 additions & 12 deletions src/dfChemistryModel/pytorchFunctions.H
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Original file line number Diff line number Diff line change
Expand Up @@ -118,8 +118,6 @@ Foam::scalar Foam::dfChemistryModel<ThermoType>::solve_DNN(const DeltaTType &del
std::chrono::steady_clock::time_point start8 = std::chrono::steady_clock::now();

pybind11::array_t<double> vec0 = pybind11::array_t<double>({DNNinputs[0].size()}, {8}, &DNNinputs[0][0]); // cast vector to np.array
pybind11::array_t<double> vec1 = pybind11::array_t<double>({DNNinputs[1].size()}, {8}, &DNNinputs[1][0]);
pybind11::array_t<double> vec2 = pybind11::array_t<double>({DNNinputs[2].size()}, {8}, &DNNinputs[2][0]);

std::chrono::steady_clock::time_point stop8 = std::chrono::steady_clock::now();
std::chrono::duration<double> processingTime8 = std::chrono::duration_cast<std::chrono::duration<double>>(stop8 - start8);
Expand All @@ -130,7 +128,7 @@ Foam::scalar Foam::dfChemistryModel<ThermoType>::solve_DNN(const DeltaTType &del

std::chrono::steady_clock::time_point start9 = std::chrono::steady_clock::now();

pybind11::object result = call_torch.attr("inference")(vec0, vec1, vec2); // call python function
pybind11::object result = call_torch.attr("inference")(vec0); // call python function
const double* star = result.cast<pybind11::array_t<double>>().data();

std::chrono::steady_clock::time_point stop9 = std::chrono::steady_clock::now();
Expand All @@ -146,9 +144,7 @@ Foam::scalar Foam::dfChemistryModel<ThermoType>::solve_DNN(const DeltaTType &del
/*=============================construct solutions=============================*/
std::chrono::steady_clock::time_point start6 = std::chrono::steady_clock::now();
std::vector<double> outputsVec0(star, star+outputLength[0] * mixture_.nSpecies()); //the float number is sample_length*sample_number
std::vector<double> outputsVec1(star+outputLength[0] * mixture_.nSpecies(), star+outputLength[1] * mixture_.nSpecies());
std::vector<double> outputsVec2(star+outputLength[1] * mixture_.nSpecies(), star+outputLength[2] * mixture_.nSpecies());
std::vector<std::vector<double>> results = {outputsVec0, outputsVec1, outputsVec2};
std::vector<std::vector<double>> results = {outputsVec0};
updateSolutionBuffer(solutionBuffer, results, cellIDBuffer, problemCounter);
std::chrono::steady_clock::time_point stop6 = std::chrono::steady_clock::now();
std::chrono::duration<double> processingTime6 = std::chrono::duration_cast<std::chrono::duration<double>>(stop6 - start6);
Expand Down Expand Up @@ -270,15 +266,11 @@ Foam::scalar Foam::dfChemistryModel<ThermoType>::solve_DNN(const DeltaTType &del
problemBuffer.append(GPUproblemList);
getDNNinputs(problemBuffer, outputLength, DNNinputs, cellIDBuffer, problemCounter);
pybind11::array_t<double> vec0 = pybind11::array_t<double>({DNNinputs[0].size()}, {8}, &DNNinputs[0][0]); // cast vector to np.array
pybind11::array_t<double> vec1 = pybind11::array_t<double>({DNNinputs[1].size()}, {8}, &DNNinputs[1][0]);
pybind11::array_t<double> vec2 = pybind11::array_t<double>({DNNinputs[2].size()}, {8}, &DNNinputs[2][0]);
pybind11::module_ call_torch = pybind11::module_::import("inference"); // import python file
pybind11::object result = call_torch.attr("inference")(vec0, vec1, vec2); // call python function
pybind11::object result = call_torch.attr("inference")(vec0); // call python function
const double* star = result.cast<pybind11::array_t<double>>().data();
std::vector<double> outputsVec0(star, star+outputLength[0] * mixture_.nSpecies()); //the float number is sample_length*sample_number
std::vector<double> outputsVec1(star+outputLength[0] * mixture_.nSpecies(), star+outputLength[1] * mixture_.nSpecies());
std::vector<double> outputsVec2(star+outputLength[1] * mixture_.nSpecies(), star+outputLength[2] * mixture_.nSpecies());
std::vector<std::vector<double>> results = {outputsVec0, outputsVec1, outputsVec2};
std::vector<std::vector<double>> results = {outputsVec0};
updateSolutionBuffer(solutionBuffer, results, cellIDBuffer, problemCounter);
DynamicList<GpuSolution> finalList;
finalList = solutionBuffer[0];
Expand Down
23 changes: 6 additions & 17 deletions src/dfChemistryModel/torchFunctions.H
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Expand Up @@ -18,17 +18,6 @@ void Foam::dfChemistryModel<ThermoType>::getGPUProblems
scalar pi = p_[cellI];
scalar rhoi = rho_[cellI];

// if T < 700, set RR=0
if (T_[cellI] < 700)
{
Qdot_[cellI] = 0;
for (int i = 0; i < mixture_.nSpecies(); i++)
{
RR_[i][cellI] = 0.0;
}
continue;
}

// set problems
GpuProblem problem(mixture_.nSpecies());
ChemistryProblem ode_problem(mixture_.nSpecies());
Expand Down Expand Up @@ -147,12 +136,12 @@ void Foam::dfChemistryModel<ThermoType>::getDNNinputs
cellIDBuffer = {cellIDList0Buffer, cellIDList1Buffer, cellIDList2Buffer};
problemCounter = {problemCounter0, problemCounter1, problemCounter2};

if (gpulog_)
{
std::cout<<"inputsDNN0 = "<<inputsDNN0.size()/(mixture_.nSpecies()+3) << "\n";
std::cout<<"inputsDNN1 = "<<inputsDNN1.size()/(mixture_.nSpecies()+3) << "\n";
std::cout<<"inputsDNN2 = "<<inputsDNN2.size()/(mixture_.nSpecies()+3) << "\n";
}
//if (gpulog_)
//{
// std::cout<<"inputsDNN0 = "<<inputsDNN0.size()/(mixture_.nSpecies()+3) << "\n";
// std::cout<<"inputsDNN1 = "<<inputsDNN1.size()/(mixture_.nSpecies()+3) << "\n";
// std::cout<<"inputsDNN2 = "<<inputsDNN2.size()/(mixture_.nSpecies()+3) << "\n";
//}

return;
}
Expand Down