1 //
2 // Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5
6 #include "RefTransposeConvolution2dWorkload.hpp"
7
8 #include "RefWorkloadUtils.hpp"
9 #include "TransposeConvolution2d.hpp"
10
11 #include <Profiling.hpp>
12
13 namespace armnn
14 {
15
RefTransposeConvolution2dWorkload(const TransposeConvolution2dQueueDescriptor & descriptor,const WorkloadInfo & info)16 RefTransposeConvolution2dWorkload::RefTransposeConvolution2dWorkload(
17 const TransposeConvolution2dQueueDescriptor& descriptor, const WorkloadInfo& info) :
18 RefBaseWorkload<TransposeConvolution2dQueueDescriptor>(descriptor, info)
19 {
20 // set up weights decoder
21 m_Weights = std::make_unique<ScopedTensorHandle>(*(descriptor.m_Weight));
22 const TensorInfo& weightsInfo = m_Weights->GetTensorInfo();
23
24 m_WeightsDecoder = MakeDecoder<float>(weightsInfo, m_Weights->Map(true));
25 m_WeightsShape = weightsInfo.GetShape();
26
27 // set up biases decoder
28 if (descriptor.m_Parameters.m_BiasEnabled)
29 {
30 m_Biases = std::make_unique<ScopedTensorHandle>(*(descriptor.m_Bias));
31 const TensorInfo& biasesInfo = m_Biases->GetTensorInfo();
32 m_BiasesDecoder = MakeDecoder<float>(biasesInfo, m_Biases->Map(true));
33 }
34 }
35
Execute() const36 void RefTransposeConvolution2dWorkload::Execute() const
37 {
38 Execute(m_Data.m_Inputs, m_Data.m_Outputs);
39 }
40
ExecuteAsync(ExecutionData & executionData)41 void RefTransposeConvolution2dWorkload::ExecuteAsync(ExecutionData& executionData)
42 {
43 WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data);
44 Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs);
45 }
46
Execute(std::vector<ITensorHandle * > inputs,std::vector<ITensorHandle * > outputs) const47 void RefTransposeConvolution2dWorkload::Execute(std::vector<ITensorHandle*> inputs,
48 std::vector<ITensorHandle*> outputs) const
49 {
50 ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefTransposeConvolution2dWorkload_Execute");
51
52 const TensorInfo& inputInfo = GetTensorInfo(inputs[0]);
53 const TensorInfo& outputInfo = GetTensorInfo(outputs[0]);
54
55 std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(inputInfo, inputs[0]->Map());
56 std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(outputInfo, outputs[0]->Map());
57
58 TransposeConvolution2dImpl(m_Data.m_Parameters,
59 inputInfo.GetShape(),
60 *inputDecoder,
61 outputInfo.GetShape(),
62 *outputEncoder,
63 m_WeightsShape,
64 *m_WeightsDecoder,
65 m_BiasesDecoder.get());
66 }
67
68 } // namespace armnn