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Diffstat (limited to 'src/armnn/backends/NeonWorkloads/NeonFullyConnectedFloat32Workload.cpp')
-rw-r--r-- | src/armnn/backends/NeonWorkloads/NeonFullyConnectedFloat32Workload.cpp | 54 |
1 files changed, 54 insertions, 0 deletions
diff --git a/src/armnn/backends/NeonWorkloads/NeonFullyConnectedFloat32Workload.cpp b/src/armnn/backends/NeonWorkloads/NeonFullyConnectedFloat32Workload.cpp new file mode 100644 index 0000000000..54c4e4333c --- /dev/null +++ b/src/armnn/backends/NeonWorkloads/NeonFullyConnectedFloat32Workload.cpp @@ -0,0 +1,54 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// See LICENSE file in the project root for full license information. +// + +#include "NeonFullyConnectedFloat32Workload.hpp" +#include "backends/CpuTensorHandle.hpp" +#include "backends/ArmComputeTensorUtils.hpp" + + +namespace armnn +{ +using namespace armcomputetensorutils; + +NeonFullyConnectedFloat32Workload::NeonFullyConnectedFloat32Workload(const FullyConnectedQueueDescriptor& descriptor, + const WorkloadInfo& info) + : Float32Workload<FullyConnectedQueueDescriptor>(descriptor, info) +{ + m_Data.ValidateInputsOutputs("NeonFullyConnectedFloat32Workload", 1, 1); + + arm_compute::ITensor& input = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); + arm_compute::ITensor& output = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); + + BuildArmComputeTensor(m_WeightsTensor, m_Data.m_Weight->GetTensorInfo()); + + arm_compute::Tensor* optionalBiasTensor = nullptr; + if (m_Data.m_Parameters.m_BiasEnabled) + { + BuildArmComputeTensor(m_BiasesTensor, m_Data.m_Bias->GetTensorInfo()); + optionalBiasTensor = &m_BiasesTensor; + } + + // Construct + m_FullyConnectedLayer.configure( + &input, &m_WeightsTensor, optionalBiasTensor, &output, m_Data.m_Parameters.m_TransposeWeightMatrix); + + // Allocate + InitialiseArmComputeTensorData(m_WeightsTensor, m_Data.m_Weight->GetConstTensor<float>()); + + if (optionalBiasTensor) + { + InitialiseArmComputeTensorData(*optionalBiasTensor, m_Data.m_Bias->GetConstTensor<float>()); + } +} + +void NeonFullyConnectedFloat32Workload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuAcc, "NeonFullyConnectedFloat32Workload_Execute"); + m_FullyConnectedLayer.run(); +} + +} //namespace armnn + + |