src/backends/neon/workloads/NeonL2NormalizationFloatWorkload.cpp

   1 //
   2 // Copyright © 2017 Arm Ltd. All rights reserved.
   3 // SPDX-License-Identifier: MIT
   4 //
   5
   6 #include "NeonL2NormalizationFloatWorkload.hpp"
   7 #include <aclCommon/ArmComputeUtils.hpp>
   8
   9 namespace armnn
  10 {
  11 using namespace armcomputetensorutils;
  12
  13 arm_compute::Status NeonL2NormalizationWorkloadValidate(const TensorInfo& input,
  14                                                         const TensorInfo& output,
  15                                                         const L2NormalizationDescriptor& descriptor)
  16 {
  17     const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
  18     const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
  19
  20     arm_compute::NormalizationLayerInfo normalizationInfo =
  21             CreateAclNormalizationLayerInfoForL2Normalization(input, descriptor.m_DataLayout);
  22
  23     return arm_compute::NENormalizationLayer::validate(&aclInput, &aclOutput, normalizationInfo);
  24 }
  25
  26 NeonL2NormalizationFloatWorkload::NeonL2NormalizationFloatWorkload(const L2NormalizationQueueDescriptor& descriptor,
  27     const WorkloadInfo& info, std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager)
  28     : FloatWorkload<L2NormalizationQueueDescriptor>(descriptor, info)
  29     , m_Layer(memoryManager)
  30 {
  31     m_Data.ValidateInputsOutputs("NeonL2NormalizationFloatWorkload", 1, 1);
  32
  33     arm_compute::ITensor& input = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
  34     arm_compute::ITensor& output = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
  35
  36     arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
  37     input.info()->set_data_layout(aclDataLayout);
  38     output.info()->set_data_layout(aclDataLayout);
  39
  40     m_Layer.configure(&input, &output,
  41                       CreateAclNormalizationLayerInfoForL2Normalization(info.m_InputTensorInfos[0],
  42                                                                         m_Data.m_Parameters.m_DataLayout));
  43 }
  44
  45 void NeonL2NormalizationFloatWorkload::Execute() const
  46 {
  47     ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonL2NormalizationFloatWorkload_Execute");
  48     m_Layer.run();
  49 }
  50
  51 } //namespace armnn