| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // See LICENSE file in the project root for full license information. |
| // |
| |
| #include "NeonAdditionFloat32Workload.hpp" |
| #include "backends/ArmComputeTensorUtils.hpp" |
| #include "backends/CpuTensorHandle.hpp" |
| |
| namespace armnn |
| { |
| |
| arm_compute::Status NeonAdditionWorkloadValidate(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output) |
| { |
| const arm_compute::TensorInfo aclInput0 = armcomputetensorutils::BuildArmComputeTensorInfo(input0); |
| const arm_compute::TensorInfo aclInput1 = armcomputetensorutils::BuildArmComputeTensorInfo(input1); |
| const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output); |
| |
| return arm_compute::NEArithmeticAddition::validate(&aclInput0, |
| &aclInput1, |
| &aclOutput, |
| arm_compute::ConvertPolicy::SATURATE); |
| } |
| |
| |
| NeonAdditionFloat32Workload::NeonAdditionFloat32Workload(const AdditionQueueDescriptor& descriptor, |
| const WorkloadInfo& info) |
| : FloatWorkload<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_NEON("NeonAdditionFloat32Workload_Execute"); |
| m_AddLayer.run(); |
| } |
| |
| } //namespace armnn |
| |