src/backends/neon/workloads/NeonPooling2dWorkload.cpp

   1 //
   2 // Copyright © 2017 Arm Ltd. All rights reserved.
   3 // SPDX-License-Identifier: MIT
   4 //
   5
   6 #include "NeonPooling2dWorkload.hpp"
   7 #include <neon/NeonLayerSupport.hpp>
   8 #include <neon/NeonTensorHandle.hpp>
   9 #include <aclCommon/ArmComputeUtils.hpp>
  10 #include <aclCommon/ArmComputeTensorUtils.hpp>
  11
  12 namespace armnn
  13 {
  14 using namespace armcomputetensorutils;
  15
  16 arm_compute::Status NeonPooling2dWorkloadValidate(const TensorInfo& input,
  17     const TensorInfo& output,
  18     const Pooling2dDescriptor& descriptor)
  19 {
  20     const arm_compute::TensorInfo aclInputInfo =
  21             BuildArmComputeTensorInfo(input, descriptor.m_DataLayout.GetDataLayout());
  22     const arm_compute::TensorInfo aclOutputInfo =
  23             BuildArmComputeTensorInfo(output, descriptor.m_DataLayout.GetDataLayout());
  24
  25     arm_compute::PoolingLayerInfo layerInfo = BuildArmComputePoolingLayerInfo(descriptor);
  26
  27     return arm_compute::NEPoolingLayer::validate(&aclInputInfo, &aclOutputInfo, layerInfo);
  28 }
  29
  30 NeonPooling2dWorkload::NeonPooling2dWorkload(
  31     const Pooling2dQueueDescriptor& descriptor, const WorkloadInfo& info)
  32     : BaseWorkload<Pooling2dQueueDescriptor>(descriptor, info)
  33 {
  34     m_Data.ValidateInputsOutputs("NeonPooling2dWorkload", 1, 1);
  35
  36     arm_compute::ITensor& input = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
  37     arm_compute::ITensor& output = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
  38
  39     arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout.GetDataLayout());
  40     input.info()->set_data_layout(aclDataLayout);
  41     output.info()->set_data_layout(aclDataLayout);
  42
  43     arm_compute::PoolingLayerInfo layerInfo = BuildArmComputePoolingLayerInfo(m_Data.m_Parameters);
  44
  45     m_PoolingLayer.configure(&input, &output, layerInfo);
  46 }
  47
  48 void NeonPooling2dWorkload::Execute() const
  49 {
  50     ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonPooling2dWorkload_Execute");
  51     m_PoolingLayer.run();
  52 }
  53
  54 } //namespace armnn