1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
|
//
// Copyright © 2020 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include <armnn/Tensor.hpp>
#include <armnnUtils/Transpose.hpp>
#include "Half.hpp"
#include <cassert>
#include <cstring>
namespace
{
class TransposeLoop
{
public:
using size_type = unsigned int;
TransposeLoop(const armnn::TensorShape& srcShape, const armnn::PermutationVector& mappings)
: m_SrcShape(srcShape)
{
assert(srcShape.GetNumDimensions() == mappings.GetSize());
const size_type numDims = srcShape.GetNumDimensions();
size_type srcStride = 1U;
size_type dstStride = 1U;
for (size_type i = numDims - 1U, k = 0U; k < numDims; ++k, --i)
{
m_SrcStrides[i] = srcStride;
m_DstStrides[mappings[i]] = dstStride;
srcStride *= srcShape[i];
dstStride *= srcShape[mappings[i]];
}
}
void Unroll(const void* srcData, void* dstData, size_t dataTypeSize)
{
assert(srcData);
assert(dstData);
assert(dataTypeSize > 0);
const unsigned char* srcDataPtr = reinterpret_cast<const unsigned char*>(srcData);
unsigned char* dstDataPtr = reinterpret_cast<unsigned char*>(dstData);
const unsigned char* const srcEndPtr = srcDataPtr + m_SrcShape.GetNumElements() * dataTypeSize;
unsigned char* const dstEndPtr = dstDataPtr + m_SrcShape.GetNumElements() * dataTypeSize;
Unroll(0, srcDataPtr, dstDataPtr, srcEndPtr, dstEndPtr, dataTypeSize);
}
private:
void Unroll(size_type dimension,
const unsigned char* srcData, unsigned char* dstData,
const unsigned char* srcEnd, unsigned char* dstEnd,
size_t dataTypeSize)
{
assert(srcData);
assert(dstData);
assert(srcEnd);
assert(dstEnd);
assert(srcData < srcEnd);
assert(dstData < dstEnd);
assert(dataTypeSize > 0);
if (dimension >= m_SrcShape.GetNumDimensions())
{
::memcpy(dstData, srcData, dataTypeSize);
}
else
{
for (size_type i = 0; i < m_SrcShape[dimension]; i++)
{
Unroll(dimension + 1, srcData, dstData, srcEnd, dstEnd, dataTypeSize);
srcData += m_SrcStrides[dimension] * dataTypeSize;
dstData += m_DstStrides[dimension] * dataTypeSize;
}
}
}
armnn::TensorShape m_SrcShape;
std::array<size_type, armnn::MaxNumOfTensorDimensions> m_SrcStrides;
std::array<size_type, armnn::MaxNumOfTensorDimensions> m_DstStrides;
};
} // namespace
namespace armnnUtils
{
armnn::TensorShape TransposeTensorShape(const armnn::TensorShape& srcShape, const armnn::PermutationVector& mappings)
{
assert(srcShape.GetNumDimensions() == mappings.GetSize());
const unsigned int numDims = mappings.GetSize();
unsigned int outDims[armnn::MaxNumOfTensorDimensions];
for (unsigned int i = 0U; i < numDims; ++i)
{
outDims[i] = srcShape[mappings[i]];
}
armnn::TensorShape permutedShape(numDims, outDims);
return permutedShape;
}
armnn::TensorInfo TransposeTensorShape(const armnn::TensorInfo& info, const armnn::PermutationVector& mappings)
{
armnn::TensorInfo outInfo(info);
outInfo.SetShape(TransposeTensorShape(info.GetShape(), mappings));
return outInfo;
}
void Transpose(const armnn::TensorShape& srcShape, const armnn::PermutationVector& mappings,
const void* src, void* dst, size_t dataTypeSize)
{
TransposeLoop(srcShape, mappings).Unroll(src, dst, dataTypeSize);
}
} // namespace armnnUtils
|