telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
David Beck | ecb56cd | 2018-09-05 12:52:57 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4 | // |
| 5 | #include "armnn/Tensor.hpp" |
| 6 | #include "armnn/Utils.hpp" |
| 7 | #include "armnn/Exceptions.hpp" |
| 8 | #include "armnn/TypesUtils.hpp" |
| 9 | |
| 10 | #include <boost/assert.hpp> |
| 11 | #include <boost/log/trivial.hpp> |
| 12 | #include <boost/numeric/conversion/cast.hpp> |
| 13 | |
| 14 | namespace armnn |
| 15 | { |
| 16 | |
| 17 | // --- |
| 18 | // --- TensorShape |
| 19 | // --- |
| 20 | |
| 21 | TensorShape::TensorShape() |
| 22 | : m_NumDimensions(0) |
| 23 | { |
| 24 | } |
| 25 | |
| 26 | TensorShape::TensorShape(const unsigned int numDimensions, const unsigned int* const dimensionSizes) |
| 27 | : m_NumDimensions(numDimensions) |
| 28 | { |
| 29 | if (numDimensions < 1) |
| 30 | { |
| 31 | throw InvalidArgumentException("Tensor numDimensions must be greater than 0"); |
| 32 | } |
| 33 | |
| 34 | if (numDimensions > MaxNumOfTensorDimensions) |
| 35 | { |
| 36 | throw InvalidArgumentException("Tensor numDimensions must be less than or equal to MaxNumOfTensorDimensions"); |
| 37 | } |
| 38 | |
| 39 | if (dimensionSizes == nullptr) |
| 40 | { |
| 41 | throw InvalidArgumentException("Tensor dimensionSizes must not be NULL"); |
| 42 | } |
| 43 | |
| 44 | std::copy(dimensionSizes, dimensionSizes + numDimensions, m_Dimensions.begin()); |
| 45 | } |
| 46 | |
| 47 | TensorShape::TensorShape(std::initializer_list<unsigned int> dimensionSizeList) |
| 48 | : TensorShape(boost::numeric_cast<unsigned int>(dimensionSizeList.size()), dimensionSizeList.begin()) |
| 49 | { |
| 50 | } |
| 51 | |
| 52 | TensorShape::TensorShape(const TensorShape& other) |
| 53 | : m_NumDimensions(other.m_NumDimensions) |
| 54 | { |
| 55 | std::copy(other.m_Dimensions.cbegin(), other.m_Dimensions.cbegin() + other.m_NumDimensions, m_Dimensions.begin()); |
| 56 | } |
| 57 | |
| 58 | TensorShape& TensorShape::operator =(const TensorShape& other) |
| 59 | { |
| 60 | m_NumDimensions = other.m_NumDimensions; |
| 61 | std::copy(other.m_Dimensions.cbegin(), other.m_Dimensions.cbegin() + other.m_NumDimensions, m_Dimensions.begin()); |
| 62 | return *this; |
| 63 | } |
| 64 | |
| 65 | bool TensorShape::operator==(const TensorShape& other) const |
| 66 | { |
| 67 | return ((m_NumDimensions == other.m_NumDimensions) && |
| 68 | std::equal(m_Dimensions.cbegin(), m_Dimensions.cbegin() + m_NumDimensions, other.m_Dimensions.cbegin())); |
| 69 | } |
| 70 | |
| 71 | bool TensorShape::operator!=(const TensorShape& other) const |
| 72 | { |
| 73 | return !(*this == other); |
| 74 | } |
| 75 | |
| 76 | unsigned int TensorShape::GetNumElements() const |
| 77 | { |
| 78 | if (m_NumDimensions == 0) |
| 79 | { |
| 80 | return 0; |
| 81 | } |
| 82 | |
| 83 | unsigned int count = 1; |
| 84 | for (unsigned int i = 0; i < m_NumDimensions; i++) |
| 85 | { |
| 86 | count *= m_Dimensions[i]; |
| 87 | } |
| 88 | |
| 89 | return count; |
| 90 | } |
| 91 | |
| 92 | // --- |
| 93 | // --- TensorInfo |
| 94 | // --- |
| 95 | |
| 96 | TensorInfo::TensorInfo() |
| 97 | : m_DataType(DataType::Float32) |
| 98 | { |
| 99 | } |
| 100 | |
| 101 | TensorInfo::TensorInfo(const TensorShape& shape, DataType dataType, |
| 102 | float quantizationScale, int32_t quantizationOffset) |
| 103 | : m_Shape(shape) |
| 104 | , m_DataType(dataType) |
| 105 | { |
| 106 | m_Quantization.m_Scale = quantizationScale; |
| 107 | m_Quantization.m_Offset = quantizationOffset; |
| 108 | } |
| 109 | |
| 110 | TensorInfo::TensorInfo(unsigned int numDimensions, const unsigned int* dimensionSizes, DataType dataType, |
| 111 | float quantizationScale, int32_t quantizationOffset) |
| 112 | : m_Shape(numDimensions, dimensionSizes) |
| 113 | , m_DataType(dataType) |
| 114 | { |
| 115 | m_Quantization.m_Scale = quantizationScale; |
| 116 | m_Quantization.m_Offset = quantizationOffset; |
| 117 | } |
| 118 | |
| 119 | TensorInfo::TensorInfo(const TensorInfo& other) |
| 120 | : m_Shape(other.m_Shape) |
| 121 | , m_DataType(other.m_DataType) |
| 122 | , m_Quantization(other.m_Quantization) |
| 123 | { |
| 124 | } |
| 125 | |
| 126 | TensorInfo& TensorInfo::operator=(const TensorInfo& other) |
| 127 | { |
| 128 | m_Shape = other.m_Shape; |
| 129 | m_DataType = other.m_DataType; |
| 130 | m_Quantization = other.m_Quantization; |
| 131 | return *this; |
| 132 | } |
| 133 | |
| 134 | bool TensorInfo::operator==(const TensorInfo& other) const |
| 135 | { |
| 136 | return ((m_Shape == other.m_Shape) && |
| 137 | (m_DataType == other.m_DataType) && |
| 138 | (m_Quantization == other.m_Quantization)); |
| 139 | } |
| 140 | |
| 141 | bool TensorInfo::operator!=(const TensorInfo& other) const |
| 142 | { |
| 143 | return !(*this == other); |
| 144 | } |
| 145 | |
| 146 | unsigned int TensorInfo::GetNumBytes() const |
| 147 | { |
| 148 | return GetDataTypeSize(m_DataType) * GetNumElements(); |
| 149 | } |
| 150 | |
| 151 | // --- |
| 152 | // --- BaseTensor |
| 153 | // --- |
| 154 | |
| 155 | template<typename MemoryType> |
| 156 | BaseTensor<MemoryType>::BaseTensor() |
| 157 | : m_MemoryArea(nullptr) |
| 158 | { |
| 159 | } |
| 160 | |
| 161 | template<typename MemoryType> |
| 162 | BaseTensor<MemoryType>::BaseTensor(const TensorInfo& info, MemoryType memoryArea) |
| 163 | : m_MemoryArea(memoryArea) |
| 164 | , m_Info(info) |
| 165 | { |
| 166 | } |
| 167 | |
| 168 | template<typename MemoryType> |
| 169 | BaseTensor<MemoryType>::BaseTensor(const BaseTensor<MemoryType>& other) |
| 170 | : m_MemoryArea(other.m_MemoryArea) |
| 171 | , m_Info(other.GetInfo()) |
| 172 | { |
| 173 | } |
| 174 | |
| 175 | template<typename MemoryType> |
| 176 | BaseTensor<MemoryType>& BaseTensor<MemoryType>::operator =(const BaseTensor<MemoryType>& other) |
| 177 | { |
| 178 | m_Info = other.m_Info; |
| 179 | m_MemoryArea = other.m_MemoryArea; |
| 180 | return *this; |
| 181 | } |
| 182 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 183 | // Explicit instantiations. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 184 | template class BaseTensor<const void*>; |
| 185 | template class BaseTensor<void*>; |
| 186 | |
| 187 | } // namespace armnn |