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Diffstat (limited to 'src/armnn/backends/NeonWorkloads/NeonAdditionFloat32Workload.cpp')
| -rw-r--r-- | src/armnn/backends/NeonWorkloads/NeonAdditionFloat32Workload.cpp | 32 |
1 files changed, 32 insertions, 0 deletions
diff --git a/src/armnn/backends/NeonWorkloads/NeonAdditionFloat32Workload.cpp b/src/armnn/backends/NeonWorkloads/NeonAdditionFloat32Workload.cpp new file mode 100644 index 0000000000..d1fb64093d --- /dev/null +++ b/src/armnn/backends/NeonWorkloads/NeonAdditionFloat32Workload.cpp @@ -0,0 +1,32 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// See LICENSE file in the project root for full license information. +// + +#include "NeonAdditionFloat32Workload.hpp" +#include "backends/CpuTensorHandle.hpp" + +namespace armnn +{ + +NeonAdditionFloat32Workload::NeonAdditionFloat32Workload(const AdditionQueueDescriptor& descriptor, + const WorkloadInfo& info) + : Float32Workload<AdditionQueueDescriptor>(descriptor, info) +{ + m_Data.ValidateInputsOutputs("NeonAdditionFloat32Workload", 2, 1); + + arm_compute::ITensor& input1 = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); + arm_compute::ITensor& input2 = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[1])->GetTensor(); + arm_compute::ITensor& output = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); + + m_AddLayer.configure(&input1, &input2, &output, arm_compute::ConvertPolicy::SATURATE); +} + +void NeonAdditionFloat32Workload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuAcc, "NeonAdditionFloat32Workload_Execute"); + m_AddLayer.run(); +} + +} //namespace armnn + |