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Aron Virginas-Tar735a4502019-06-26 15:02:47 +01001//
2// Copyright © 2017 Arm Ltd. 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
13namespace armnn
14{
15
16RefTransposeConvolution2dWorkload::RefTransposeConvolution2dWorkload(
17 const TransposeConvolution2dQueueDescriptor& descriptor, const WorkloadInfo& info) :
18 BaseWorkload<TransposeConvolution2dQueueDescriptor>(descriptor, info)
19{
20 // set up weights decoder
21 m_Weights = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Weight));
Matthew Bentham4cefc412019-06-18 16:14:34 +010022 const TensorInfo& weightsInfo = m_Weights->GetTensorInfo();
Aron Virginas-Tar735a4502019-06-26 15:02:47 +010023
Matthew Bentham4686af02019-07-02 15:45:18 +010024 m_WeightsDecoder = MakeDecoder<float>(weightsInfo, m_Weights->Map(true));
Aron Virginas-Tar735a4502019-06-26 15:02:47 +010025 m_WeightsShape = weightsInfo.GetShape();
26
27 // set up biases decoder
28 if (descriptor.m_Parameters.m_BiasEnabled)
29 {
30 m_Biases = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Bias));
Matthew Bentham4cefc412019-06-18 16:14:34 +010031 const TensorInfo& biasesInfo = m_Biases->GetTensorInfo();
Matthew Bentham4686af02019-07-02 15:45:18 +010032 m_BiasesDecoder = MakeDecoder<float>(biasesInfo, m_Biases->Map(true));
Aron Virginas-Tar735a4502019-06-26 15:02:47 +010033 }
34}
35
36void RefTransposeConvolution2dWorkload::PostAllocationConfigure()
37{
38 // set up input decoder
39 const ITensorHandle* input = m_Data.m_Inputs[0];
40 const TensorInfo& inputInfo = GetTensorInfo(input);
41
42 m_InputShape = inputInfo.GetShape();
Matthew Bentham4686af02019-07-02 15:45:18 +010043 m_InputDecoder = MakeDecoder<float>(inputInfo);
Aron Virginas-Tar735a4502019-06-26 15:02:47 +010044
45 // set up output encoder
46 ITensorHandle* output = m_Data.m_Outputs[0];
47 const TensorInfo& outputInfo = GetTensorInfo(output);
48
49 m_OutputShape = outputInfo.GetShape();
Matthew Bentham4686af02019-07-02 15:45:18 +010050 m_OutputEncoder = MakeEncoder<float>(outputInfo);
Aron Virginas-Tar735a4502019-06-26 15:02:47 +010051}
52
53void RefTransposeConvolution2dWorkload::Execute() const
54{
55 ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefTransposeConvolution2dWorkload_Execute");
56
Matthew Bentham4686af02019-07-02 15:45:18 +010057 m_InputDecoder->Reset(m_Data.m_Inputs[0]->Map());
58 m_OutputEncoder->Reset(m_Data.m_Outputs[0]->Map());
59
Aron Virginas-Tar735a4502019-06-26 15:02:47 +010060 TransposeConvolution2dImpl(m_Data.m_Parameters,
61 m_InputShape,
62 *m_InputDecoder,
63 m_OutputShape,
64 *m_OutputEncoder,
65 m_WeightsShape,
66 *m_WeightsDecoder,
67 m_BiasesDecoder.get());
68}
69
70} // namespace armnn