Commit da2a00d4 authored by Dmitry I. Lyakh's avatar Dmitry I. Lyakh
Browse files

Fixed an issue in evaluateTensorNetwork 



Signed-off-by: default avatarDmitry I. Lyakh <quant4me@gmail.com>
parent edacaf70

src/exatn/num_server.cpp

+8 −4
Original line number Diff line number Diff line
@@ -198,7 +198,11 @@ void NumServer::reconfigureTensorRuntime(const ParamConf & parameters, 


void NumServer::switchComputationalBackend(const std::string & backend_name)

{

 bool success = sync(); assert(success);

 bool success = tensor_rt_->sync(); assert(success);

 if(logging_ > 0 && backend_name != comp_backend_){

  logfile_ << "[" << std::fixed << std::setprecision(6) << exatn::Timer::timeInSecHR(getTimeStampStart())

           << "]: Switching computational backend to " << backend_name << std::endl << std::flush;

 }

 if(backend_name == "default"){

  comp_backend_ = backend_name;

#ifdef CUQUANTUM
@@ -3124,7 +3128,7 @@ bool NumServer::evaluateTensorNetwork(const ProcessGroup & process_group, 
   auto res = tensor_map.emplace(std::make_pair(tensor_name,iter->second));

  }

  if(parsed){

   TensorNetwork tensnet(name,network,tensor_map);

   auto tensnet = std::make_shared<TensorNetwork>(name,network,tensor_map);

   parsed = submit(process_group,tensnet);

  }

 }else{
@@ -3168,9 +3172,9 @@ bool NumServer::evaluateTensorNetworkSync(const ProcessGroup & process_group, 
   auto res = tensor_map.emplace(std::make_pair(tensor_name,iter->second));

  }

  if(parsed){

   TensorNetwork tensnet(name,network,tensor_map);

   auto tensnet = std::make_shared<TensorNetwork>(name,network,tensor_map);

   parsed = submit(process_group,tensnet);

   if(parsed) parsed = sync(process_group,tensnet);

   if(parsed) parsed = sync(process_group,*tensnet);

  }

 }else{

  std::cout << "#ERROR(exatn::NumServer::evaluateTensorNetworkSync): Invalid tensor network: " << network << std::endl;

src/exatn/tests/NumServerTester.cpp

+2 −2
Original line number Diff line number Diff line
@@ -3789,9 +3789,9 @@ TEST(NumServerTester, CuTensorNet) { 


 const auto TENS_ELEM_TYPE = TensorElementType::REAL32;



 const int NUM_REPEATS = 3;

 const int NUM_REPEATS = 1;



 //exatn::resetLoggingLevel(1,2); //debug

 exatn::resetLoggingLevel(1,2); //debug



 bool success = true;