Loading src/runtime/executor/cuquantum/cuquantum_executor.cu +8 −8 Original line number Diff line number Diff line Loading @@ -60,15 +60,15 @@ struct TensorNetworkReq { std::unordered_map<unsigned int, std::vector<int32_t>> tensor_modes; //indices associated with tensor dimensions (key = original tensor id) std::unordered_map<int32_t, int64_t> mode_extents; //extent of each registered tensor mode int32_t * num_modes_in = nullptr; int64_t ** extents_in = nullptr; int64_t ** extents_in = nullptr; //non-owning int64_t ** strides_in = nullptr; int32_t ** modes_in = nullptr; int32_t ** modes_in = nullptr; //non-owning uint32_t * alignments_in = nullptr; void ** data_in = nullptr; int32_t num_modes_out; int64_t * extents_out = nullptr; int64_t * extents_out = nullptr; //non-owning int64_t * strides_out = nullptr; int32_t * modes_out = nullptr; int32_t * modes_out = nullptr; //non-owning uint32_t alignment_out; void * data_out = nullptr; //non-owning void * workspace = nullptr; //non-owning Loading Loading @@ -97,14 +97,14 @@ struct TensorNetworkReq { cutensornetDestroyContractionOptimizerConfig(opt_config); cutensornetDestroyContractionOptimizerInfo(opt_info); cutensornetDestroyNetworkDescriptor(net_descriptor); if(modes_out != nullptr) delete [] modes_out; //if(modes_out != nullptr) delete [] modes_out; if(strides_out != nullptr) delete [] strides_out; if(extents_out != nullptr) delete [] extents_out; //if(extents_out != nullptr) delete [] extents_out; if(data_in != nullptr) delete [] data_in; if(alignments_in != nullptr) delete [] alignments_in; if(modes_in != nullptr) delete [] modes_in; //if(modes_in != nullptr) delete [] modes_in; if(strides_in != nullptr) delete [] strides_in; if(extents_in != nullptr) delete [] extents_in; //if(extents_in != nullptr) delete [] extents_in; if(num_modes_in != nullptr) delete [] num_modes_in; } }; Loading src/runtime/executor/graph_executors/lazy/graph_executor_lazy.cpp +4 −4 Original line number Diff line number Diff line Loading @@ -306,17 +306,17 @@ void LazyGraphExecutor::execute(TensorNetworkQueue & tensor_network_queue) { if(exec_stat == TensorNetworkQueue::ExecStat::None){ if(logging_.load() != 0){ logfile_ << "[" << std::fixed << std::setprecision(6) << exatn::Timer::timeInSecHR(getTimeStampStart()) << "](LazyGraphExecutor)[EXEC_THREAD]: Submitting to cuQuantum tensor network " << exec_handle << ": Status = "; << "](LazyGraphExecutor)[EXEC_THREAD]: Submitting to cuQuantum tensor network " << exec_handle << std::endl; #ifdef DEBUG logfile_.flush(); #endif } const auto exec_conf = tensor_network_queue.getExecConfiguration(exec_handle); exec_stat = cuquantum_executor_->execute(current->first,exec_conf.first,exec_conf.second,exec_handle); if(logging_.load() != 0){ logfile_ << static_cast<int>(exec_stat) << std::endl; logfile_ << "[" << std::fixed << std::setprecision(6) << exatn::Timer::timeInSecHR(getTimeStampStart()) << "](LazyGraphExecutor)[EXEC_THREAD]: Submitted to cuQuantum tensor network " << exec_handle << ": Status = " << static_cast<int>(exec_stat) << std::endl; #ifdef DEBUG logfile_.flush(); #endif Loading Loading
src/runtime/executor/cuquantum/cuquantum_executor.cu +8 −8 Original line number Diff line number Diff line Loading @@ -60,15 +60,15 @@ struct TensorNetworkReq { std::unordered_map<unsigned int, std::vector<int32_t>> tensor_modes; //indices associated with tensor dimensions (key = original tensor id) std::unordered_map<int32_t, int64_t> mode_extents; //extent of each registered tensor mode int32_t * num_modes_in = nullptr; int64_t ** extents_in = nullptr; int64_t ** extents_in = nullptr; //non-owning int64_t ** strides_in = nullptr; int32_t ** modes_in = nullptr; int32_t ** modes_in = nullptr; //non-owning uint32_t * alignments_in = nullptr; void ** data_in = nullptr; int32_t num_modes_out; int64_t * extents_out = nullptr; int64_t * extents_out = nullptr; //non-owning int64_t * strides_out = nullptr; int32_t * modes_out = nullptr; int32_t * modes_out = nullptr; //non-owning uint32_t alignment_out; void * data_out = nullptr; //non-owning void * workspace = nullptr; //non-owning Loading Loading @@ -97,14 +97,14 @@ struct TensorNetworkReq { cutensornetDestroyContractionOptimizerConfig(opt_config); cutensornetDestroyContractionOptimizerInfo(opt_info); cutensornetDestroyNetworkDescriptor(net_descriptor); if(modes_out != nullptr) delete [] modes_out; //if(modes_out != nullptr) delete [] modes_out; if(strides_out != nullptr) delete [] strides_out; if(extents_out != nullptr) delete [] extents_out; //if(extents_out != nullptr) delete [] extents_out; if(data_in != nullptr) delete [] data_in; if(alignments_in != nullptr) delete [] alignments_in; if(modes_in != nullptr) delete [] modes_in; //if(modes_in != nullptr) delete [] modes_in; if(strides_in != nullptr) delete [] strides_in; if(extents_in != nullptr) delete [] extents_in; //if(extents_in != nullptr) delete [] extents_in; if(num_modes_in != nullptr) delete [] num_modes_in; } }; Loading
src/runtime/executor/graph_executors/lazy/graph_executor_lazy.cpp +4 −4 Original line number Diff line number Diff line Loading @@ -306,17 +306,17 @@ void LazyGraphExecutor::execute(TensorNetworkQueue & tensor_network_queue) { if(exec_stat == TensorNetworkQueue::ExecStat::None){ if(logging_.load() != 0){ logfile_ << "[" << std::fixed << std::setprecision(6) << exatn::Timer::timeInSecHR(getTimeStampStart()) << "](LazyGraphExecutor)[EXEC_THREAD]: Submitting to cuQuantum tensor network " << exec_handle << ": Status = "; << "](LazyGraphExecutor)[EXEC_THREAD]: Submitting to cuQuantum tensor network " << exec_handle << std::endl; #ifdef DEBUG logfile_.flush(); #endif } const auto exec_conf = tensor_network_queue.getExecConfiguration(exec_handle); exec_stat = cuquantum_executor_->execute(current->first,exec_conf.first,exec_conf.second,exec_handle); if(logging_.load() != 0){ logfile_ << static_cast<int>(exec_stat) << std::endl; logfile_ << "[" << std::fixed << std::setprecision(6) << exatn::Timer::timeInSecHR(getTimeStampStart()) << "](LazyGraphExecutor)[EXEC_THREAD]: Submitted to cuQuantum tensor network " << exec_handle << ": Status = " << static_cast<int>(exec_stat) << std::endl; #ifdef DEBUG logfile_.flush(); #endif Loading