1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5
6 #include "RefConvolution2dWorkload.hpp"
7
8 #include "ConvImpl.hpp"
9 #include "RefWorkloadUtils.hpp"
10
11 #include "Profiling.hpp"
12
13 namespace armnn
14 {
RefConvolution2dWorkload(const Convolution2dQueueDescriptor & descriptor,const WorkloadInfo & info)15 RefConvolution2dWorkload::RefConvolution2dWorkload(
16 const Convolution2dQueueDescriptor& descriptor, const WorkloadInfo& info)
17 : BaseWorkload<Convolution2dQueueDescriptor>(descriptor, info)
18 {
19 m_Weight = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Weight));
20 const TensorInfo& rFilterInfo = m_Weight->GetTensorInfo();
21
22 m_FilterShape = rFilterInfo.GetShape();
23 m_FilterDecoder = MakeDecoder<float>(rFilterInfo, m_Weight.get()->Map(true));
24
25 if (descriptor.m_Parameters.m_BiasEnabled)
26 {
27 m_Bias = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Bias));
28 const TensorInfo& biasInfo = m_Bias->GetTensorInfo();
29 m_BiasDecoder = MakeDecoder<float>(biasInfo, m_Bias->Map(true));
30 }
31 }
32
PostAllocationConfigure()33 void RefConvolution2dWorkload::PostAllocationConfigure()
34 {
35 const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
36 m_InputShape = inputInfo.GetShape();
37 m_InputDecoder = MakeDecoder<float>(inputInfo);
38
39 const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
40 m_OutputShape = outputInfo.GetShape();
41 m_OutputEncoder = MakeEncoder<float>(outputInfo);
42 }
43
Execute() const44 void RefConvolution2dWorkload::Execute() const {
45 ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefConvolution2dWorkload_Execute");
46
47 m_InputDecoder->Reset(m_Data.m_Inputs[0]->Map());
48 m_OutputEncoder->Reset(m_Data.m_Outputs[0]->Map());
49
50 Convolve(m_InputShape, *m_InputDecoder, m_OutputShape, *m_OutputEncoder, m_FilterShape,
51 *m_FilterDecoder, m_Data.m_Parameters.m_BiasEnabled, m_BiasDecoder.get(),
52 m_Data.m_Parameters.m_DataLayout, m_Data.m_Parameters.m_PadTop, m_Data.m_Parameters.m_PadLeft,
53 m_Data.m_Parameters.m_StrideX, m_Data.m_Parameters.m_StrideY,
54 m_Data.m_Parameters.m_DilationX, m_Data.m_Parameters.m_DilationY);
55 }
56
57 } //namespace armnn
58