From ae050524109f1ce827962665436ef7430f2ac479 Mon Sep 17 00:00:00 2001 From: David Monahan Date: Wed, 22 Mar 2023 16:48:58 +0000 Subject: IVGCVSW-7255 Update Doxygen Documentation and publish on GitHub. * Updating Doxygen documentation for 23.02 release. Signed-off-by: David Monahan Change-Id: I545574ff7664b4595d2fe6a91a3c35d2ad55df82 --- latest/_stack_8cpp_source.xhtml | 258 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 258 insertions(+) create mode 100644 latest/_stack_8cpp_source.xhtml (limited to 'latest/_stack_8cpp_source.xhtml') diff --git a/latest/_stack_8cpp_source.xhtml b/latest/_stack_8cpp_source.xhtml new file mode 100644 index 0000000000..16e19a552a --- /dev/null +++ b/latest/_stack_8cpp_source.xhtml @@ -0,0 +1,258 @@ + + + + + + + + + + + + + +ArmNN: src/backends/reference/workloads/Stack.cpp Source File + + + + + + + + + + + + + + + + +
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+ + + + ArmNN + + + +
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+  23.02 +
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+
Stack.cpp
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+Go to the documentation of this file.
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::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
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
+ +
armnn::TensorInfo::GetNumDimensions
unsigned int GetNumDimensions() const
Definition: Tensor.hpp:195
+ +
armnn::TensorInfo::GetNumElements
unsigned int GetNumElements() const
Definition: Tensor.hpp:196
+ + + +
armnn::StackDescriptor::m_NumInputs
uint32_t m_NumInputs
Number of input tensors.
Definition: Descriptors.hpp:1222
+
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:191
+
armnn::Encoder::Set
virtual void Set(IType right)=0
+ + +
armnn::StackDescriptor::m_Axis
uint32_t m_Axis
0-based axis along which to stack the input tensors.
Definition: Descriptors.hpp:1220
+
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:26
+ + + + -- cgit v1.2.1