ArmNN
 24.08
Stack.cpp
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1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "Stack.hpp"
7 #include "RefWorkloadUtils.hpp"
8 
9 namespace armnn
10 {
11 
12 void Stack(const StackQueueDescriptor& data,
13  std::vector<std::unique_ptr<Decoder<float>>>& inputs,
14  Encoder<float>& output,
15  const TensorInfo& inputInfo,
16  const TensorInfo& outputInfo)
17 {
18  unsigned int outputNumDims = outputInfo.GetNumDimensions();
19  unsigned int inputNumDims = inputInfo.GetNumDimensions();
20 
21  const armnn::TensorShape& outputDims = outputInfo.GetShape();
22  const armnn::TensorShape& inputDims = inputInfo.GetShape();
23 
24  unsigned int axis = data.m_Parameters.m_Axis;
25 
26  // Can perform a simple concatenation when axis == 0
27  if (!axis)
28  {
29  unsigned int numInputs = data.m_Parameters.m_NumInputs;
30  unsigned int inputLength = inputInfo.GetNumElements();
31 
32  for (unsigned int inputIdx=0; inputIdx<numInputs; ++inputIdx)
33  {
34  for (unsigned int elmt=0; elmt<inputLength; ++elmt)
35  {
36  (*inputs[inputIdx])[elmt];
37  output[(inputIdx * inputLength) + elmt];
38  output.Set(inputs[inputIdx]->Get());
39  }
40  }
41  return;
42  }
43 
44  const unsigned int iNumTensors = static_cast<unsigned int>(data.m_Inputs.size());
45  const unsigned int iBatchSize = inputDims[0];
46  const unsigned int iChannels = (inputNumDims > 1) ? inputDims[1] : 1;
47  const unsigned int iHeight = (inputNumDims > 2) ? inputDims[2] : 1;
48  const unsigned int iWidth = (inputNumDims > 3) ? inputDims[3] : 1;
49 
50  const unsigned int oBatchSize = outputDims[1];
51  const unsigned int oChannels = (outputNumDims > 2) ? outputDims[2] : 1;
52  const unsigned int oHeight = (outputNumDims > 3) ? outputDims[3] : 1;
53  const unsigned int oWidth = (outputNumDims > 4) ? outputDims[4] : 1;
54 
55  // Array to store the input coordinates
56  // iCoordinates[0] = i, iCoordinates[1] = bi, iCoordinates[2] = ci
57  // iCoordinates[3] = hi, iCoordinates[4] = wi, iCoordinates[5] = 0
58  // iCoordinates[5] will be always zero and used for not incrementing
59  // the output when the input has less than 4 dimensions
60  std::array<unsigned int, 6> iCoordinates{ 0 };
61 
62  // Array of pointers used to map the output coordinates to the input ones, in accordance with the axis
63  // This array is initialized with &iCoordinates[5] since this will be always zero
64  std::array<unsigned int *, 5> oCoordinates = { &iCoordinates[5],
65  &iCoordinates[5],
66  &iCoordinates[5],
67  &iCoordinates[5],
68  &iCoordinates[5] };
69 
70  // Set the axis coordinate
71  oCoordinates[axis] = &iCoordinates[0];
72 
73  // Map the output coordinates, accounting for the axis
74  unsigned int dim_shift = 0;
75  for(unsigned int dim = 0; dim < inputNumDims; ++dim)
76  {
77  if(dim == axis)
78  {
79  dim_shift++;
80  }
81  oCoordinates[dim + dim_shift] = &iCoordinates[dim + 1];
82  }
83 
84  // Alias for the input coordinates
85  unsigned int &i = iCoordinates[0];
86  unsigned int &bi = iCoordinates[1];
87  unsigned int &ci = iCoordinates[2];
88  unsigned int &hi = iCoordinates[3];
89  unsigned int &wi = iCoordinates[4];
90 
91  // Alias for the output coordinates
92  unsigned int &o = *(oCoordinates[0]);
93  unsigned int &bo = *(oCoordinates[1]);
94  unsigned int &co = *(oCoordinates[2]);
95  unsigned int &ho = *(oCoordinates[3]);
96  unsigned int &wo = *(oCoordinates[4]);
97 
98  // Stack tensors
99  for(; i < iNumTensors; ++(i))
100  {
101  for(bi = 0; bi < iBatchSize; ++(bi))
102  {
103  for(ci = 0; ci < iChannels; ++(ci))
104  {
105  for(hi = 0; hi < iHeight; ++(hi))
106  {
107  for(wi = 0; wi < iWidth; ++(wi))
108  {
109  output[o * oWidth * oHeight * oChannels * oBatchSize +
110  bo * oWidth * oHeight * oChannels +
111  co * oWidth * oHeight +
112  ho * oWidth +
113  wo];
114 
115  output.Set(inputs[i]->Get());
116 
117  ++(*(inputs[i]));
118  }
119  }
120  }
121  }
122  }
123 }
124 
125 } // namespace armnn
armnn::Decoder< float >
armnn::TensorInfo::GetNumElements
unsigned int GetNumElements() const
Definition: Tensor.hpp:198
armnn::Encoder::Set
virtual void Set(IType right)=0
armnn::StackQueueDescriptor
Definition: WorkloadData.hpp:152
armnn::TensorInfo
Definition: Tensor.hpp:152
armnn::TensorInfo::GetNumDimensions
unsigned int GetNumDimensions() const
Definition: Tensor.hpp:197
armnn::Stack
void Stack(const StackQueueDescriptor &data, std::vector< std::unique_ptr< Decoder< float >>> &inputs, Encoder< float > &output, const TensorInfo &inputInfo, const TensorInfo &outputInfo)
Definition: Stack.cpp:12
armnn::TensorShape
Definition: Tensor.hpp:20
armnn::Encoder< float >
armnn::StackDescriptor::m_NumInputs
uint32_t m_NumInputs
Number of input tensors.
Definition: Descriptors.hpp:1275
armnn::QueueDescriptorWithParameters::m_Parameters
LayerDescriptor m_Parameters
Definition: WorkloadData.hpp:66
armnn::StackDescriptor::m_Axis
uint32_t m_Axis
0-based axis along which to stack the input tensors.
Definition: Descriptors.hpp:1273
RefWorkloadUtils.hpp
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:193
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
Stack.hpp
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:26