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
Stack(const StackQueueDescriptor & data,std::vector<std::unique_ptr<Decoder<float>>> & inputs,Encoder<float> & output,const TensorInfo & inputInfo,const TensorInfo & outputInfo)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
126