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
ClTransposeConvolution2dWorkloadValidate(const TensorInfo & input,const TensorInfo & output,const TransposeConvolution2dDescriptor & descriptor,const TensorInfo & weights,const Optional<TensorInfo> & biases)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 ARMNN_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
ClTransposeConvolution2dWorkload(const TransposeConvolution2dQueueDescriptor & descriptor,const WorkloadInfo & info,std::shared_ptr<arm_compute::MemoryManagerOnDemand> & memoryManager)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 if (m_Data.m_Parameters.m_BiasEnabled)
69 {
70 m_BiasesTensor = std::make_unique<arm_compute::CLTensor>();
71 BuildArmComputeTensor(*m_BiasesTensor, m_Data.m_Bias->GetTensorInfo(), m_Data.m_Parameters.m_DataLayout);
72 }
73
74 m_Data.ValidateInputsOutputs("ClTransposeConvolution2dWorkload", 1, 1);
75
76 arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
77 arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
78
79 arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
80
81 input.info()->set_data_layout(aclDataLayout);
82 output.info()->set_data_layout(aclDataLayout);
83
84 arm_compute::PadStrideInfo padStrideInfo = BuildArmComputePadStrideInfo(m_Data.m_Parameters);
85 m_Layer.configure(&input, m_WeightsTensor.get(), m_BiasesTensor.get(), &output, padStrideInfo);
86
87 InitializeArmComputeClTensorData(*m_WeightsTensor, m_Data.m_Weight);
88 if (m_BiasesTensor)
89 {
90 InitializeArmComputeClTensorData(*m_BiasesTensor, m_Data.m_Bias);
91 }
92
93 m_Layer.prepare();
94
95 FreeUnusedTensors();
96 }
97
Execute() const98 void ClTransposeConvolution2dWorkload::Execute() const
99 {
100 ARMNN_SCOPED_PROFILING_EVENT_CL("ClTransposeConvolution2dWorkload_Execute");
101 RunClFunction(m_Layer, CHECK_LOCATION());
102 }
103
FreeUnusedTensors()104 void ClTransposeConvolution2dWorkload::FreeUnusedTensors()
105 {
106 FreeTensorIfUnused(m_WeightsTensor);
107 FreeTensorIfUnused(m_BiasesTensor);
108 }
109
110 } // namespace armnn
111