src/backends/cl/workloads/ClNormalizationFloatWorkload.cpp

   1 //
   2 // Copyright © 2017 Arm Ltd. All rights reserved.
   3 // SPDX-License-Identifier: MIT
   4 //
   5
   6 #include "ClNormalizationFloatWorkload.hpp"
   7 #include <cl/ClTensorHandle.hpp>
   8 #include <backendsCommon/CpuTensorHandle.hpp>
   9 #include <cl/ClLayerSupport.hpp>
  10 #include <aclCommon/ArmComputeUtils.hpp>
  11 #include <aclCommon/ArmComputeTensorUtils.hpp>
  12 #include "ClWorkloadUtils.hpp"
  13
  14 using namespace armnn::armcomputetensorutils;
  15
  16 namespace armnn
  17 {
  18
  19 arm_compute::Status ClNormalizationWorkloadValidate(const TensorInfo& input,
  20                                                     const TensorInfo& output,
  21                                                     const NormalizationDescriptor& descriptor)
  22 {
  23     const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
  24     const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
  25
  26     arm_compute::NormalizationLayerInfo layerInfo = BuildArmComputeNormalizationLayerInfo(descriptor);
  27
  28     return arm_compute::CLNormalizationLayer::validate(&aclInputInfo, &aclOutputInfo, layerInfo);
  29 }
  30
  31 ClNormalizationFloatWorkload::ClNormalizationFloatWorkload(const NormalizationQueueDescriptor& descriptor,
  32                                                            const WorkloadInfo& info)
  33     : FloatWorkload<NormalizationQueueDescriptor>(descriptor, info)
  34 {
  35     m_Data.ValidateInputsOutputs("ClNormalizationFloatWorkload", 1, 1);
  36
  37     arm_compute::ICLTensor& input  = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
  38     arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
  39
  40     arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
  41     input.info()->set_data_layout(aclDataLayout);
  42     output.info()->set_data_layout(aclDataLayout);
  43
  44     arm_compute::NormalizationLayerInfo normalizationInfo = BuildArmComputeNormalizationLayerInfo(m_Data.m_Parameters);
  45
  46     m_NormalizationLayer.configure(&input, &output, normalizationInfo);
  47 };
  48
  49 void ClNormalizationFloatWorkload::Execute() const
  50 {
  51     ARMNN_SCOPED_PROFILING_EVENT_CL("ClNormalizationFloatWorkload_Execute");
  52     RunClFunction(m_NormalizationLayer, CHECK_LOCATION());
  53 }
  54
  55 } //namespace armnn