| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "RefFullyConnectedFloat32Workload.hpp" |
| |
| #include "FullyConnected.hpp" |
| #include "RefWorkloadUtils.hpp" |
| |
| #include "Profiling.hpp" |
| |
| namespace armnn |
| { |
| RefFullyConnectedFloat32Workload::RefFullyConnectedFloat32Workload( |
| const FullyConnectedQueueDescriptor& descriptor, const WorkloadInfo& info) |
| : Float32Workload<FullyConnectedQueueDescriptor>(descriptor, info), |
| m_Weight(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Weight))), |
| m_Bias(descriptor.m_Parameters.m_BiasEnabled |
| ? std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Bias)) : nullptr) {} |
| |
| void RefFullyConnectedFloat32Workload::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefFullyConnectedFloat32Workload_Execute"); |
| |
| const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]); |
| const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]); |
| |
| float* outputData = GetOutputTensorDataFloat(0, m_Data); |
| const float* inputData = GetInputTensorDataFloat(0, m_Data); |
| const float* weightData = m_Weight->GetConstTensor<float>(); |
| const float* biasData = m_Data.m_Parameters.m_BiasEnabled ? m_Bias->GetConstTensor<float>() : nullptr; |
| |
| FullyConnected(inputData, |
| outputData, |
| inputInfo, |
| outputInfo, |
| weightData, |
| biasData, |
| m_Data.m_Parameters.m_TransposeWeightMatrix); |
| } |
| |
| } //namespace armnn |