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remove mpi communications in DNN solving procedure when use pure GPU #207

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Merged
merged 1 commit into from
Feb 24, 2023
Merged

remove mpi communications in DNN solving procedure when use pure GPU #207

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26 changes: 16 additions & 10 deletions src/dfChemistryModel/dfChemistryModel.C
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Original file line number Diff line number Diff line change
Expand Up @@ -146,21 +146,27 @@ Foam::dfChemistryModel<ThermoType>::dfChemistryModel
// initialization the Inferencer (if use multi GPU)
if(torchSwitch_)
{
if(!(Pstream::myProcNo() % cores_)) // Now is a master
if (gpu_)
{
torch::jit::script::Module torchModel1_ = torch::jit::load(torchModelName1_);
torch::jit::script::Module torchModel2_ = torch::jit::load(torchModelName2_);
torch::jit::script::Module torchModel3_ = torch::jit::load(torchModelName3_);
std::string device_;
if (gpu_)
if(!(Pstream::myProcNo() % cores_)) // Now is a master
{
torch::jit::script::Module torchModel1_ = torch::jit::load(torchModelName1_);
torch::jit::script::Module torchModel2_ = torch::jit::load(torchModelName2_);
torch::jit::script::Module torchModel3_ = torch::jit::load(torchModelName3_);
std::string device_;
int CUDANo = (Pstream::myProcNo() / cores_) % GPUsPerNode_;
device_ = "cuda:" + std::to_string(CUDANo);
DNNInferencer DNNInferencer(torchModel1_, torchModel2_, torchModel3_, device_);
DNNInferencer_ = DNNInferencer;
}
else
{
device_ = "cpu";
}
}
else
{
torch::jit::script::Module torchModel1_ = torch::jit::load(torchModelName1_);
torch::jit::script::Module torchModel2_ = torch::jit::load(torchModelName2_);
torch::jit::script::Module torchModel3_ = torch::jit::load(torchModelName3_);
std::string device_;
device_ = "cpu";
DNNInferencer DNNInferencer(torchModel1_, torchModel2_, torchModel3_, device_);
DNNInferencer_ = DNNInferencer;
}
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