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)12 void Stack(const StackQueueDescriptor& data,
13 std::vector<std::unique_ptr<Decoder<float>>>& inputs,
14 Encoder<float>& output)
15 {
16 const TensorInfo& outputInfo = GetTensorInfo(data.m_Outputs[0]);
17 const TensorInfo& inputInfo = GetTensorInfo(data.m_Inputs[0]);
18
19 unsigned int outputNumDims = outputInfo.GetNumDimensions();
20 unsigned int inputNumDims = inputInfo.GetNumDimensions();
21
22 const armnn::TensorShape& outputDims = outputInfo.GetShape();
23 const armnn::TensorShape& inputDims = inputInfo.GetShape();
24
25 unsigned int axis = data.m_Parameters.m_Axis;
26
27 // Initialise output data
28 unsigned int numOutputElements = 1;
29 for (unsigned int i=0; i<outputNumDims; ++i)
30 {
31 numOutputElements *= outputDims[i];
32 }
33
34 const unsigned int iNumTensors = static_cast<unsigned int>(data.m_Inputs.size());
35 const unsigned int iBatchSize = inputDims[0];
36 const unsigned int iChannels = (inputNumDims > 1) ? inputDims[1] : 1;
37 const unsigned int iHeight = (inputNumDims > 2) ? inputDims[2] : 1;
38 const unsigned int iWidth = (inputNumDims > 3) ? inputDims[3] : 1;
39
40 const unsigned int oBatchSize = outputDims[1];
41 const unsigned int oChannels = (outputNumDims > 2) ? outputDims[2] : 1;
42 const unsigned int oHeight = (outputNumDims > 3) ? outputDims[3] : 1;
43 const unsigned int oWidth = (outputNumDims > 4) ? outputDims[4] : 1;
44
45 // Array to store the input coordinates
46 // iCoordinates[0] = i, iCoordinates[1] = bi, iCoordinates[2] = ci
47 // iCoordinates[3] = hi, iCoordinates[4] = wi, iCoordinates[5] = 0
48 // iCoordinates[5] will be always zero and used for not incrementing
49 // the output when the input has less than 4 dimensions
50 std::array<unsigned int, 6> iCoordinates{ 0 };
51
52 // Array of pointers used to map the output coordinates to the input ones, in accordance with the axis
53 // This array is initialized with &iCoordinates[5] since this will be always zero
54 std::array<unsigned int *, 5> oCoordinates = { &iCoordinates[5],
55 &iCoordinates[5],
56 &iCoordinates[5],
57 &iCoordinates[5],
58 &iCoordinates[5] };
59
60 // Set the axis coordinate
61 oCoordinates[axis] = &iCoordinates[0];
62
63 // Map the output coordinates, accounting for the axis
64 unsigned int dim_shift = 0;
65 for(unsigned int dim = 0; dim < inputNumDims; ++dim)
66 {
67 if(dim == axis)
68 {
69 dim_shift++;
70 }
71 oCoordinates[dim + dim_shift] = &iCoordinates[dim + 1];
72 }
73
74 // Alias for the input coordinates
75 unsigned int &i = iCoordinates[0];
76 unsigned int &bi = iCoordinates[1];
77 unsigned int &ci = iCoordinates[2];
78 unsigned int &hi = iCoordinates[3];
79 unsigned int &wi = iCoordinates[4];
80
81 // Alias for the output coordinates
82 unsigned int &o = *(oCoordinates[0]);
83 unsigned int &bo = *(oCoordinates[1]);
84 unsigned int &co = *(oCoordinates[2]);
85 unsigned int &ho = *(oCoordinates[3]);
86 unsigned int &wo = *(oCoordinates[4]);
87
88 // Stack tensors
89 for(; i < iNumTensors; ++(i))
90 {
91 for(bi = 0; bi < iBatchSize; ++(bi))
92 {
93 for(ci = 0; ci < iChannels; ++(ci))
94 {
95 for(hi = 0; hi < iHeight; ++(hi))
96 {
97 for(wi = 0; wi < iWidth; ++(wi))
98 {
99 output[o * oWidth * oHeight * oChannels * oBatchSize +
100 bo * oWidth * oHeight * oChannels +
101 co * oWidth * oHeight +
102 ho * oWidth +
103 wo];
104
105 output.Set(inputs[i]->Get());
106
107 ++(*(inputs[i]));
108 }
109 }
110 }
111 }
112 }
113 }
114
115 } // namespace armnn
116