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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// See LICENSE file in the project root for full license information.
//
#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
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