src/backends/cl/workloads/ClTransposeConvolution2dWorkload.cpp

   1 //
   2 // Copyright © 2017 Arm Ltd. All rights reserved.
   3 // SPDX-License-Identifier: MIT
   4 //
   5
   6 #include "ClTransposeConvolution2dWorkload.hpp"
   7
   8 #include "ClWorkloadUtils.hpp"
   9
  10 #include <cl/ClLayerSupport.hpp>
  11 #include <cl/ClTensorHandle.hpp>
  12 #include <cl/ClLayerSupport.hpp>
  13
  14 #include <aclCommon/ArmComputeUtils.hpp>
  15 #include <aclCommon/ArmComputeTensorUtils.hpp>
  16
  17 #include <backendsCommon/CpuTensorHandle.hpp>
  18
  19 #include <arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h>
  20
  21 namespace armnn
  22 {
  23
  24 using namespace armcomputetensorutils;
  25
  26 arm_compute::Status ClTransposeConvolution2dWorkloadValidate(const TensorInfo& input,
  27                                                              const TensorInfo& output,
  28                                                              const TransposeConvolution2dDescriptor& descriptor,
  29                                                              const TensorInfo& weights,
  30                                                              const Optional<TensorInfo>& biases)
  31 {
  32     arm_compute::TensorInfo aclInputInfo   = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
  33     arm_compute::TensorInfo aclOutputInfo  = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
  34     arm_compute::TensorInfo aclWeightsInfo = BuildArmComputeTensorInfo(weights, descriptor.m_DataLayout);
  35
  36     arm_compute::TensorInfo aclBiasesInfo;
  37     arm_compute::TensorInfo *optionalAclBiasesInfo = nullptr;
  38
  39     if (descriptor.m_BiasEnabled)
  40     {
  41         BOOST_ASSERT(biases.has_value());
  42
  43         aclBiasesInfo = BuildArmComputeTensorInfo(biases.value(), descriptor.m_DataLayout);
  44         optionalAclBiasesInfo = &aclBiasesInfo;
  45     }
  46
  47     arm_compute::PadStrideInfo padStrideInfo = BuildArmComputePadStrideInfo(descriptor);
  48
  49     return arm_compute::CLDeconvolutionLayer::validate(&aclInputInfo,
  50                                                        &aclWeightsInfo,
  51                                                        optionalAclBiasesInfo,
  52                                                        &aclOutputInfo,
  53                                                        padStrideInfo);
  54 }
  55
  56 ClTransposeConvolution2dWorkload::ClTransposeConvolution2dWorkload(
  57     const TransposeConvolution2dQueueDescriptor& descriptor,
  58     const WorkloadInfo& info,
  59     std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager) :
  60     BaseWorkload<TransposeConvolution2dQueueDescriptor>(descriptor, info),
  61     m_Layer(memoryManager)
  62 {
  63     const TensorInfo& weightInfo = m_Data.m_Weight->GetTensorInfo();
  64
  65     m_WeightsTensor = std::make_unique<arm_compute::CLTensor>();
  66     BuildArmComputeTensor(*m_WeightsTensor, weightInfo, m_Data.m_Parameters.m_DataLayout);
  67
  68     arm_compute::PadStrideInfo padStrideInfo(m_Data.m_Parameters.m_StrideX,
  69                                              m_Data.m_Parameters.m_StrideY,
  70                                              m_Data.m_Parameters.m_PadLeft,
  71                                              m_Data.m_Parameters.m_PadRight,
  72                                              m_Data.m_Parameters.m_PadTop,
  73                                              m_Data.m_Parameters.m_PadBottom,
  74                                              arm_compute::DimensionRoundingType::FLOOR);
  75
  76     if (m_Data.m_Parameters.m_BiasEnabled)
  77     {
  78         m_BiasesTensor = std::make_unique<arm_compute::CLTensor>();
  79         BuildArmComputeTensor(*m_BiasesTensor, m_Data.m_Bias->GetTensorInfo(), m_Data.m_Parameters.m_DataLayout);
  80     }
  81
  82     m_Data.ValidateInputsOutputs("ClTransposeConvolution2dWorkload", 1, 1);
  83
  84     arm_compute::ICLTensor& input  = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
  85     arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
  86
  87     arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
  88
  89     input.info()->set_data_layout(aclDataLayout);
  90     output.info()->set_data_layout(aclDataLayout);
  91
  92     m_Layer.configure(&input, m_WeightsTensor.get(), m_BiasesTensor.get(), &output, padStrideInfo);
  93
  94     InitializeArmComputeClTensorData(*m_WeightsTensor, m_Data.m_Weight);
  95     if (m_BiasesTensor)
  96     {
  97         InitializeArmComputeClTensorData(*m_BiasesTensor, m_Data.m_Bias);
  98     }
  99
 100     m_Layer.prepare();
 101
 102     FreeUnusedTensors();
 103 }
 104
 105 void ClTransposeConvolution2dWorkload::Execute() const
 106 {
 107     ARMNN_SCOPED_PROFILING_EVENT_CL("ClTransposeConvolution2dWorkload_Execute");
 108     RunClFunction(m_Layer, CHECK_LOCATION());
 109 }
 110
 111 void ClTransposeConvolution2dWorkload::FreeUnusedTensors()
 112 {
 113     FreeTensorIfUnused(m_WeightsTensor);
 114     FreeTensorIfUnused(m_BiasesTensor);
 115 }
 116
 117 } // namespace armnn