Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #pragma once |
| 7 | |
Matthew Bentham | 246bd46 | 2020-01-20 16:16:06 +0000 | [diff] [blame] | 8 | #include <armnn/TypesUtils.hpp> |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 9 | #include <armnn/utility/Assert.hpp> |
| 10 | #include <armnn/utility/IgnoreUnused.hpp> |
Matteo Martincigh | e011d20 | 2019-11-28 11:35:47 +0000 | [diff] [blame] | 11 | #include <armnnUtils/FloatingPointConverter.hpp> |
| 12 | |
Aron Virginas-Tar | d4f0fea | 2019-04-09 14:08:06 +0100 | [diff] [blame] | 13 | #include <ResolveType.hpp> |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 14 | |
| 15 | namespace armnn |
| 16 | { |
| 17 | |
| 18 | class BaseIterator |
| 19 | { |
| 20 | public: |
| 21 | BaseIterator() {} |
| 22 | |
| 23 | virtual ~BaseIterator() {} |
| 24 | |
Aron Virginas-Tar | 5edc881 | 2019-11-05 18:00:21 +0000 | [diff] [blame] | 25 | virtual BaseIterator& SetIndex(unsigned int index, unsigned int axisIndex = 0) = 0; |
| 26 | |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 27 | virtual BaseIterator& operator++() = 0; |
| 28 | |
| 29 | virtual BaseIterator& operator+=(const unsigned int increment) = 0; |
| 30 | |
| 31 | virtual BaseIterator& operator-=(const unsigned int increment) = 0; |
Francis Murtagh | 43aec58 | 2019-05-27 12:14:10 +0100 | [diff] [blame] | 32 | |
| 33 | virtual BaseIterator& operator[](const unsigned int index) = 0; |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 34 | }; |
| 35 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 36 | template<typename IType> |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 37 | class Decoder : public BaseIterator |
| 38 | { |
| 39 | public: |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 40 | Decoder() {} |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 41 | |
| 42 | virtual ~Decoder() {} |
| 43 | |
Matthew Bentham | c394a6d | 2019-06-24 12:51:25 +0100 | [diff] [blame] | 44 | virtual void Reset(void*) = 0; |
| 45 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 46 | virtual IType Get() const = 0; |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 47 | |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 48 | virtual std::vector<float> |
| 49 | DecodeTensor(const TensorShape &tensorShape, |
| 50 | const unsigned int channelMultiplier = 1, |
| 51 | bool isDepthwise = false) = 0; |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 52 | }; |
| 53 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 54 | template<typename IType> |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 55 | class Encoder : public BaseIterator |
| 56 | { |
| 57 | public: |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 58 | Encoder() {} |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 59 | |
| 60 | virtual ~Encoder() {} |
| 61 | |
Matthew Bentham | c394a6d | 2019-06-24 12:51:25 +0100 | [diff] [blame] | 62 | virtual void Reset(void*) = 0; |
| 63 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 64 | virtual void Set(IType right) = 0; |
Nattapat Chaimanowong | eb2b329 | 2019-05-07 12:02:30 +0100 | [diff] [blame] | 65 | |
| 66 | virtual IType Get() const = 0; |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 67 | }; |
| 68 | |
| 69 | template<typename T, typename Base> |
| 70 | class TypedIterator : public Base |
| 71 | { |
| 72 | public: |
Matthew Bentham | c394a6d | 2019-06-24 12:51:25 +0100 | [diff] [blame] | 73 | TypedIterator(T* data = nullptr) |
Francis Murtagh | 43aec58 | 2019-05-27 12:14:10 +0100 | [diff] [blame] | 74 | : m_Iterator(data), m_Start(data) |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 75 | {} |
| 76 | |
Matthew Bentham | c394a6d | 2019-06-24 12:51:25 +0100 | [diff] [blame] | 77 | void Reset(void* data) override |
| 78 | { |
| 79 | m_Iterator = reinterpret_cast<T*>(data); |
| 80 | m_Start = m_Iterator; |
| 81 | } |
| 82 | |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 83 | TypedIterator& operator++() override |
| 84 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 85 | ARMNN_ASSERT(m_Iterator); |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 86 | ++m_Iterator; |
| 87 | return *this; |
| 88 | } |
| 89 | |
| 90 | TypedIterator& operator+=(const unsigned int increment) override |
| 91 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 92 | ARMNN_ASSERT(m_Iterator); |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 93 | m_Iterator += increment; |
| 94 | return *this; |
| 95 | } |
| 96 | |
| 97 | TypedIterator& operator-=(const unsigned int increment) override |
| 98 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 99 | ARMNN_ASSERT(m_Iterator); |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 100 | m_Iterator -= increment; |
| 101 | return *this; |
| 102 | } |
| 103 | |
Francis Murtagh | 43aec58 | 2019-05-27 12:14:10 +0100 | [diff] [blame] | 104 | TypedIterator& operator[](const unsigned int index) override |
| 105 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 106 | ARMNN_ASSERT(m_Iterator); |
Francis Murtagh | 43aec58 | 2019-05-27 12:14:10 +0100 | [diff] [blame] | 107 | m_Iterator = m_Start + index; |
| 108 | return *this; |
| 109 | } |
| 110 | |
Aron Virginas-Tar | 5edc881 | 2019-11-05 18:00:21 +0000 | [diff] [blame] | 111 | TypedIterator& SetIndex(unsigned int index, unsigned int axisIndex = 0) override |
| 112 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 113 | IgnoreUnused(axisIndex); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 114 | ARMNN_ASSERT(m_Iterator); |
Aron Virginas-Tar | 5edc881 | 2019-11-05 18:00:21 +0000 | [diff] [blame] | 115 | m_Iterator = m_Start + index; |
| 116 | return *this; |
| 117 | } |
| 118 | |
Nattapat Chaimanowong | eb2b329 | 2019-05-07 12:02:30 +0100 | [diff] [blame] | 119 | protected: |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 120 | T* m_Iterator; |
Francis Murtagh | 43aec58 | 2019-05-27 12:14:10 +0100 | [diff] [blame] | 121 | T* m_Start; |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 122 | }; |
| 123 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 124 | class QASymm8Decoder : public TypedIterator<const uint8_t, Decoder<float>> |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 125 | { |
| 126 | public: |
| 127 | QASymm8Decoder(const uint8_t* data, const float scale, const int32_t offset) |
| 128 | : TypedIterator(data), m_Scale(scale), m_Offset(offset) {} |
| 129 | |
Matthew Bentham | c394a6d | 2019-06-24 12:51:25 +0100 | [diff] [blame] | 130 | QASymm8Decoder(const float scale, const int32_t offset) |
| 131 | : QASymm8Decoder(nullptr, scale, offset) {} |
| 132 | |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 133 | float Get() const override |
| 134 | { |
| 135 | return armnn::Dequantize(*m_Iterator, m_Scale, m_Offset); |
| 136 | } |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 137 | std::vector<float> DecodeTensor (const TensorShape& tensorShape, |
| 138 | const unsigned int channelMultiplier, |
| 139 | const bool isDepthwise) override |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 140 | { |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 141 | IgnoreUnused(channelMultiplier, isDepthwise); |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 142 | |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 143 | const unsigned int size = tensorShape.GetNumElements(); |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 144 | std::vector<float> decodedTensor; |
| 145 | decodedTensor.reserve(size); |
| 146 | |
| 147 | for (uint32_t i = 0; i < size; ++i) |
| 148 | { |
| 149 | this->operator[](i); |
| 150 | decodedTensor.emplace_back(armnn::Dequantize(*m_Iterator, m_Scale, m_Offset)); |
| 151 | } |
| 152 | |
| 153 | return decodedTensor; |
| 154 | } |
| 155 | |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 156 | private: |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 157 | |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 158 | const float m_Scale; |
| 159 | const int32_t m_Offset; |
| 160 | }; |
| 161 | |
Ryan OShea | 9add120 | 2020-02-07 10:06:33 +0000 | [diff] [blame] | 162 | class QASymmS8Decoder : public TypedIterator<const int8_t, Decoder<float>> |
| 163 | { |
| 164 | public: |
| 165 | QASymmS8Decoder(const int8_t* data, const float scale, const int32_t offset) |
| 166 | : TypedIterator(data), m_Scale(scale), m_Offset(offset) {} |
| 167 | |
| 168 | QASymmS8Decoder(const float scale, const int32_t offset) |
| 169 | : QASymmS8Decoder(nullptr, scale, offset) {} |
| 170 | |
| 171 | float Get() const override |
| 172 | { |
| 173 | return armnn::Dequantize(*m_Iterator, m_Scale, m_Offset); |
| 174 | } |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 175 | std::vector<float> DecodeTensor (const TensorShape& tensorShape, |
| 176 | const unsigned int channelMultiplier, |
| 177 | const bool isDepthwise) override |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 178 | { |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 179 | IgnoreUnused(channelMultiplier, isDepthwise); |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 180 | |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 181 | const unsigned int size = tensorShape.GetNumElements(); |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 182 | std::vector<float> decodedTensor; |
| 183 | decodedTensor.reserve(size); |
| 184 | |
| 185 | for (uint32_t i = 0; i < size; ++i) |
| 186 | { |
| 187 | this->operator[](i); |
| 188 | decodedTensor.emplace_back(armnn::Dequantize(*m_Iterator, m_Scale, m_Offset)); |
| 189 | } |
| 190 | |
| 191 | return decodedTensor; |
| 192 | } |
| 193 | |
Ryan OShea | 9add120 | 2020-02-07 10:06:33 +0000 | [diff] [blame] | 194 | private: |
| 195 | const float m_Scale; |
| 196 | const int32_t m_Offset; |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 197 | |
Ryan OShea | 9add120 | 2020-02-07 10:06:33 +0000 | [diff] [blame] | 198 | }; |
| 199 | |
Finn Williams | fd27106 | 2019-12-04 14:27:27 +0000 | [diff] [blame] | 200 | class QSymmS8Decoder : public TypedIterator<const int8_t, Decoder<float>> |
| 201 | { |
| 202 | public: |
| 203 | QSymmS8Decoder(const int8_t* data, const float scale, const int32_t offset) |
| 204 | : TypedIterator(data), m_Scale(scale), m_Offset(offset) {} |
| 205 | |
| 206 | QSymmS8Decoder(const float scale, const int32_t offset) |
| 207 | : QSymmS8Decoder(nullptr, scale, offset) {} |
| 208 | |
| 209 | float Get() const override |
| 210 | { |
| 211 | return armnn::Dequantize(*m_Iterator, m_Scale, m_Offset); |
| 212 | } |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 213 | std::vector<float> DecodeTensor (const TensorShape& tensorShape, |
| 214 | const unsigned int channelMultiplier, |
| 215 | const bool isDepthwise) override |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 216 | { |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 217 | IgnoreUnused(channelMultiplier, isDepthwise); |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 218 | |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 219 | const unsigned int size = tensorShape.GetNumElements(); |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 220 | std::vector<float> decodedTensor; |
| 221 | decodedTensor.reserve(size); |
| 222 | |
| 223 | for (uint32_t i = 0; i < size; ++i) |
| 224 | { |
| 225 | this->operator[](i); |
| 226 | decodedTensor.emplace_back(armnn::Dequantize(*m_Iterator, m_Scale, m_Offset)); |
| 227 | } |
| 228 | |
| 229 | return decodedTensor; |
| 230 | } |
| 231 | |
Finn Williams | fd27106 | 2019-12-04 14:27:27 +0000 | [diff] [blame] | 232 | private: |
| 233 | const float m_Scale; |
| 234 | const int32_t m_Offset; |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 235 | |
Finn Williams | fd27106 | 2019-12-04 14:27:27 +0000 | [diff] [blame] | 236 | }; |
| 237 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 238 | class QSymm16Decoder : public TypedIterator<const int16_t, Decoder<float>> |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 239 | { |
| 240 | public: |
| 241 | QSymm16Decoder(const int16_t* data, const float scale, const int32_t offset) |
| 242 | : TypedIterator(data), m_Scale(scale), m_Offset(offset) {} |
| 243 | |
Matthew Bentham | c394a6d | 2019-06-24 12:51:25 +0100 | [diff] [blame] | 244 | QSymm16Decoder(const float scale, const int32_t offset) |
| 245 | : QSymm16Decoder(nullptr, scale, offset) {} |
| 246 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 247 | float Get() const override |
| 248 | { |
| 249 | return armnn::Dequantize(*m_Iterator, m_Scale, m_Offset); |
| 250 | } |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 251 | std::vector<float> DecodeTensor (const TensorShape& tensorShape, |
| 252 | const unsigned int channelMultiplier, |
| 253 | const bool isDepthwise) override |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 254 | { |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 255 | IgnoreUnused(channelMultiplier, isDepthwise); |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 256 | |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 257 | const unsigned int size = tensorShape.GetNumElements(); |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 258 | std::vector<float> decodedTensor; |
| 259 | decodedTensor.reserve(size); |
| 260 | |
| 261 | for (uint32_t i = 0; i < size; ++i) |
| 262 | { |
| 263 | this->operator[](i); |
| 264 | decodedTensor.emplace_back(armnn::Dequantize(*m_Iterator, m_Scale, m_Offset)); |
| 265 | } |
| 266 | |
| 267 | return decodedTensor; |
| 268 | } |
| 269 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 270 | private: |
| 271 | const float m_Scale; |
| 272 | const int32_t m_Offset; |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 273 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 274 | }; |
| 275 | |
Narumol Prangnawarat | 8832522 | 2020-03-06 14:45:57 +0000 | [diff] [blame] | 276 | class BFloat16Decoder : public TypedIterator<const BFloat16, Decoder<float>> |
| 277 | { |
| 278 | public: |
| 279 | BFloat16Decoder(const BFloat16* data) |
| 280 | : TypedIterator(data) {} |
| 281 | |
| 282 | BFloat16Decoder() |
| 283 | : BFloat16Decoder(nullptr) {} |
| 284 | |
| 285 | float Get() const override |
| 286 | { |
| 287 | float val = 0.f; |
| 288 | armnnUtils::FloatingPointConverter::ConvertBFloat16ToFloat32(m_Iterator, 1, &val); |
| 289 | return val; |
| 290 | } |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 291 | std::vector<float> DecodeTensor (const TensorShape& tensorShape, |
| 292 | const unsigned int channelMultiplier, |
| 293 | const bool isDepthwise) override |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 294 | { |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 295 | IgnoreUnused(channelMultiplier, isDepthwise); |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 296 | |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 297 | const unsigned int size = tensorShape.GetNumElements(); |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 298 | std::vector<float> decodedTensor; |
| 299 | decodedTensor.reserve(size); |
| 300 | |
| 301 | for (uint32_t i = 0; i < size; ++i) |
| 302 | { |
| 303 | this->operator[](i); |
| 304 | |
| 305 | float val = 0.f; |
| 306 | armnnUtils::FloatingPointConverter::ConvertBFloat16ToFloat32(m_Iterator, 1, &val); |
| 307 | decodedTensor.emplace_back(val); |
| 308 | } |
| 309 | |
| 310 | return decodedTensor; |
| 311 | } |
| 312 | |
Narumol Prangnawarat | 8832522 | 2020-03-06 14:45:57 +0000 | [diff] [blame] | 313 | }; |
| 314 | |
Matthew Jackson | e69c399 | 2019-09-09 14:31:21 +0100 | [diff] [blame] | 315 | class Float16Decoder : public TypedIterator<const Half, Decoder<float>> |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 316 | { |
| 317 | public: |
Matthew Jackson | e69c399 | 2019-09-09 14:31:21 +0100 | [diff] [blame] | 318 | Float16Decoder(const Half* data) |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 319 | : TypedIterator(data) {} |
| 320 | |
Matthew Jackson | e69c399 | 2019-09-09 14:31:21 +0100 | [diff] [blame] | 321 | Float16Decoder() |
| 322 | : Float16Decoder(nullptr) {} |
| 323 | |
| 324 | float Get() const override |
| 325 | { |
| 326 | float val = 0.f; |
| 327 | armnnUtils::FloatingPointConverter::ConvertFloat16To32(m_Iterator, 1, &val); |
| 328 | return val; |
| 329 | } |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 330 | std::vector<float> DecodeTensor (const TensorShape& tensorShape, |
| 331 | const unsigned int channelMultiplier, |
| 332 | const bool isDepthwise) override |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 333 | { |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 334 | IgnoreUnused(channelMultiplier, isDepthwise); |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 335 | |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 336 | const unsigned int size = tensorShape.GetNumElements(); |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 337 | std::vector<float> decodedTensor; |
| 338 | decodedTensor.reserve(size); |
| 339 | |
| 340 | for (uint32_t i = 0; i < size; ++i) |
| 341 | { |
| 342 | float val = 0.f; |
| 343 | this->operator[](i); |
| 344 | armnnUtils::FloatingPointConverter::ConvertFloat16To32(m_Iterator, 1, &val); |
| 345 | decodedTensor.emplace_back(val); |
| 346 | } |
| 347 | |
| 348 | return decodedTensor; |
| 349 | } |
| 350 | |
| 351 | |
Matthew Jackson | e69c399 | 2019-09-09 14:31:21 +0100 | [diff] [blame] | 352 | }; |
| 353 | |
| 354 | class Float32Decoder : public TypedIterator<const float, Decoder<float>> |
| 355 | { |
| 356 | public: |
| 357 | Float32Decoder(const float* data) |
| 358 | : TypedIterator(data) {} |
| 359 | |
| 360 | Float32Decoder() |
| 361 | : Float32Decoder(nullptr) {} |
Matthew Bentham | c394a6d | 2019-06-24 12:51:25 +0100 | [diff] [blame] | 362 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 363 | float Get() const override |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 364 | { |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 365 | return *m_Iterator; |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 366 | } |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 367 | std::vector<float> DecodeTensor (const TensorShape& tensorShape, |
| 368 | const unsigned int channelMultiplier, |
| 369 | const bool isDepthwise) override |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 370 | { |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 371 | IgnoreUnused(channelMultiplier, isDepthwise); |
| 372 | const unsigned int size = tensorShape.GetNumElements(); |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 373 | std::vector<float> decodedTensor; |
| 374 | |
| 375 | decodedTensor.reserve(size); |
| 376 | decodedTensor.assign(m_Start, m_Start + size); |
| 377 | |
| 378 | return decodedTensor; |
| 379 | } |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 380 | }; |
| 381 | |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 382 | class ScaledInt32Decoder : public TypedIterator<const int32_t, Decoder<float>> |
| 383 | { |
| 384 | public: |
| 385 | ScaledInt32Decoder(const int32_t* data, const float scale) |
| 386 | : TypedIterator(data), m_Scale(scale) {} |
| 387 | |
Matthew Bentham | c394a6d | 2019-06-24 12:51:25 +0100 | [diff] [blame] | 388 | ScaledInt32Decoder(const float scale) |
| 389 | : ScaledInt32Decoder(nullptr, scale) {} |
| 390 | |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 391 | float Get() const override |
| 392 | { |
| 393 | return static_cast<float>(*m_Iterator) * m_Scale; |
| 394 | } |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 395 | std::vector<float> DecodeTensor (const TensorShape& tensorShape, |
| 396 | const unsigned int channelMultiplier, |
| 397 | const bool isDepthwise) override |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 398 | { |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 399 | IgnoreUnused(channelMultiplier, isDepthwise); |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 400 | |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 401 | const unsigned int size = tensorShape.GetNumElements(); |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 402 | std::vector<float> decodedTensor; |
| 403 | decodedTensor.reserve(size); |
| 404 | |
| 405 | for (uint32_t i = 0; i < size; ++i) |
| 406 | { |
| 407 | this->operator[](i); |
| 408 | decodedTensor.emplace_back(static_cast<float>(*m_Iterator) * m_Scale); |
| 409 | } |
| 410 | |
| 411 | return decodedTensor; |
| 412 | } |
| 413 | |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 414 | private: |
| 415 | const float m_Scale; |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 416 | |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 417 | }; |
| 418 | |
Aron Virginas-Tar | 198ee40 | 2019-08-02 18:54:28 +0100 | [diff] [blame] | 419 | class Int32Decoder : public TypedIterator<const int32_t, Decoder<float>> |
| 420 | { |
| 421 | public: |
| 422 | Int32Decoder(const int32_t* data) |
| 423 | : TypedIterator(data) {} |
| 424 | |
| 425 | Int32Decoder() |
| 426 | : Int32Decoder(nullptr) {} |
| 427 | |
| 428 | float Get() const override |
| 429 | { |
| 430 | return static_cast<float>(*m_Iterator); |
| 431 | } |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 432 | std::vector<float> DecodeTensor (const TensorShape& tensorShape, |
| 433 | const unsigned int channelMultiplier, |
| 434 | const bool isDepthwise) override |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 435 | { |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 436 | IgnoreUnused(channelMultiplier, isDepthwise); |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 437 | |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 438 | const unsigned int size = tensorShape.GetNumElements(); |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 439 | std::vector<float> decodedTensor; |
| 440 | decodedTensor.reserve(size); |
| 441 | |
| 442 | for (uint32_t i = 0; i < size; ++i) |
| 443 | { |
| 444 | this->operator[](i); |
| 445 | decodedTensor.emplace_back(static_cast<float>(*m_Iterator)); |
| 446 | } |
| 447 | |
| 448 | return decodedTensor; |
| 449 | } |
Aron Virginas-Tar | 198ee40 | 2019-08-02 18:54:28 +0100 | [diff] [blame] | 450 | }; |
| 451 | |
Finn Williams | cbd2c23 | 2020-06-22 15:58:32 +0100 | [diff] [blame] | 452 | class Int32ToInt32tDecoder : public TypedIterator<const int32_t, Decoder<int32_t>> |
| 453 | { |
| 454 | public: |
| 455 | Int32ToInt32tDecoder(const int32_t* data) |
| 456 | : TypedIterator(data){} |
| 457 | |
| 458 | Int32ToInt32tDecoder() |
| 459 | : Int32ToInt32tDecoder(nullptr) {} |
| 460 | |
| 461 | int32_t Get() const override |
| 462 | { |
| 463 | return *m_Iterator; |
| 464 | } |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 465 | std::vector<float> DecodeTensor (const TensorShape& tensorShape, |
| 466 | const unsigned int channelMultiplier, |
| 467 | const bool isDepthwise) override |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 468 | { |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 469 | IgnoreUnused(channelMultiplier, isDepthwise); |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 470 | |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 471 | const unsigned int size = tensorShape.GetNumElements(); |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 472 | std::vector<float> decodedTensor; |
| 473 | decodedTensor.reserve(size); |
| 474 | |
| 475 | for (uint32_t i = 0; i < size; ++i) |
| 476 | { |
| 477 | this->operator[](i); |
| 478 | decodedTensor.emplace_back(*m_Iterator); |
| 479 | } |
| 480 | |
| 481 | return decodedTensor; |
| 482 | } |
Finn Williams | cbd2c23 | 2020-06-22 15:58:32 +0100 | [diff] [blame] | 483 | }; |
| 484 | |
Sadik Armagan | b60dd24 | 2020-03-19 13:53:16 +0000 | [diff] [blame] | 485 | class BooleanDecoder : public TypedIterator<const uint8_t, Decoder<float>> |
| 486 | { |
| 487 | public: |
| 488 | BooleanDecoder(const uint8_t* data) |
| 489 | : TypedIterator(data) {} |
| 490 | |
| 491 | BooleanDecoder() |
| 492 | : BooleanDecoder(nullptr) {} |
| 493 | |
| 494 | float Get() const override |
| 495 | { |
| 496 | return *m_Iterator; |
| 497 | } |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 498 | std::vector<float> DecodeTensor (const TensorShape& tensorShape, |
| 499 | const unsigned int channelMultiplier, |
| 500 | const bool isDepthwise) override |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 501 | { |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 502 | IgnoreUnused(channelMultiplier, isDepthwise); |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 503 | |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 504 | const unsigned int size = tensorShape.GetNumElements(); |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 505 | std::vector<float> decodedTensor; |
| 506 | decodedTensor.reserve(size); |
| 507 | |
| 508 | for (uint32_t i = 0; i < size; ++i) |
| 509 | { |
| 510 | this->operator[](i); |
| 511 | decodedTensor.emplace_back(*m_Iterator); |
| 512 | } |
| 513 | |
| 514 | return decodedTensor; |
| 515 | } |
Sadik Armagan | b60dd24 | 2020-03-19 13:53:16 +0000 | [diff] [blame] | 516 | }; |
| 517 | |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 518 | class BooleanDecoderBool : public TypedIterator<const uint8_t, Decoder<bool>> |
| 519 | { |
| 520 | public: |
| 521 | BooleanDecoderBool(const uint8_t* data) |
| 522 | : TypedIterator(data) {} |
| 523 | |
| 524 | BooleanDecoderBool() |
| 525 | : BooleanDecoderBool(nullptr) {} |
| 526 | |
| 527 | bool Get() const override |
| 528 | { |
| 529 | return *m_Iterator; |
| 530 | } |
| 531 | |
| 532 | std::vector<float> DecodeTensor(const TensorShape& tensorShape, |
| 533 | const unsigned int channelMultiplier, |
| 534 | const bool isDepthwise) override |
| 535 | { |
| 536 | IgnoreUnused(channelMultiplier, isDepthwise); |
| 537 | |
| 538 | const unsigned int size = tensorShape.GetNumElements(); |
| 539 | std::vector<float> decodedTensor; |
| 540 | decodedTensor.reserve(size); |
| 541 | |
| 542 | for (uint32_t i = 0; i < size; ++i) |
| 543 | { |
| 544 | this->operator[](i); |
| 545 | decodedTensor.emplace_back(*m_Iterator); |
| 546 | } |
| 547 | |
| 548 | return decodedTensor; |
| 549 | } |
| 550 | }; |
| 551 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 552 | class QASymm8Encoder : public TypedIterator<uint8_t, Encoder<float>> |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 553 | { |
| 554 | public: |
| 555 | QASymm8Encoder(uint8_t* data, const float scale, const int32_t offset) |
| 556 | : TypedIterator(data), m_Scale(scale), m_Offset(offset) {} |
| 557 | |
Matthew Bentham | c394a6d | 2019-06-24 12:51:25 +0100 | [diff] [blame] | 558 | QASymm8Encoder(const float scale, const int32_t offset) |
| 559 | : QASymm8Encoder(nullptr, scale, offset) {} |
| 560 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 561 | void Set(float right) override |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 562 | { |
| 563 | *m_Iterator = armnn::Quantize<uint8_t>(right, m_Scale, m_Offset); |
| 564 | } |
| 565 | |
Nattapat Chaimanowong | eb2b329 | 2019-05-07 12:02:30 +0100 | [diff] [blame] | 566 | float Get() const override |
| 567 | { |
| 568 | return armnn::Dequantize(*m_Iterator, m_Scale, m_Offset); |
| 569 | } |
| 570 | |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 571 | private: |
| 572 | const float m_Scale; |
| 573 | const int32_t m_Offset; |
| 574 | }; |
| 575 | |
Ryan OShea | 9add120 | 2020-02-07 10:06:33 +0000 | [diff] [blame] | 576 | class QASymmS8Encoder : public TypedIterator<int8_t, Encoder<float>> |
| 577 | { |
| 578 | public: |
| 579 | QASymmS8Encoder(int8_t* data, const float scale, const int32_t offset) |
| 580 | : TypedIterator(data), m_Scale(scale), m_Offset(offset) {} |
| 581 | |
| 582 | QASymmS8Encoder(const float scale, const int32_t offset) |
| 583 | : QASymmS8Encoder(nullptr, scale, offset) {} |
| 584 | |
| 585 | void Set(float right) override |
| 586 | { |
| 587 | *m_Iterator = armnn::Quantize<int8_t>(right, m_Scale, m_Offset); |
| 588 | } |
| 589 | |
| 590 | float Get() const override |
| 591 | { |
| 592 | return armnn::Dequantize(*m_Iterator, m_Scale, m_Offset); |
| 593 | } |
| 594 | |
| 595 | private: |
| 596 | const float m_Scale; |
| 597 | const int32_t m_Offset; |
| 598 | }; |
| 599 | |
Finn Williams | fd27106 | 2019-12-04 14:27:27 +0000 | [diff] [blame] | 600 | class QSymmS8Encoder : public TypedIterator<int8_t, Encoder<float>> |
| 601 | { |
| 602 | public: |
| 603 | QSymmS8Encoder(int8_t* data, const float scale, const int32_t offset) |
| 604 | : TypedIterator(data), m_Scale(scale), m_Offset(offset) {} |
| 605 | |
| 606 | QSymmS8Encoder(const float scale, const int32_t offset) |
| 607 | : QSymmS8Encoder(nullptr, scale, offset) {} |
| 608 | |
| 609 | void Set(float right) override |
| 610 | { |
| 611 | *m_Iterator = armnn::Quantize<int8_t>(right, m_Scale, m_Offset); |
| 612 | } |
| 613 | |
| 614 | float Get() const override |
| 615 | { |
| 616 | return armnn::Dequantize(*m_Iterator, m_Scale, m_Offset); |
| 617 | } |
| 618 | |
| 619 | private: |
| 620 | const float m_Scale; |
| 621 | const int32_t m_Offset; |
| 622 | }; |
| 623 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 624 | class QSymm16Encoder : public TypedIterator<int16_t, Encoder<float>> |
| 625 | { |
| 626 | public: |
| 627 | QSymm16Encoder(int16_t* data, const float scale, const int32_t offset) |
| 628 | : TypedIterator(data), m_Scale(scale), m_Offset(offset) {} |
| 629 | |
Matthew Bentham | c394a6d | 2019-06-24 12:51:25 +0100 | [diff] [blame] | 630 | QSymm16Encoder(const float scale, const int32_t offset) |
| 631 | : QSymm16Encoder(nullptr, scale, offset) {} |
| 632 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 633 | void Set(float right) override |
| 634 | { |
| 635 | *m_Iterator = armnn::Quantize<int16_t>(right, m_Scale, m_Offset); |
| 636 | } |
| 637 | |
Nattapat Chaimanowong | eb2b329 | 2019-05-07 12:02:30 +0100 | [diff] [blame] | 638 | float Get() const override |
| 639 | { |
| 640 | return armnn::Dequantize(*m_Iterator, m_Scale, m_Offset); |
| 641 | } |
| 642 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 643 | private: |
| 644 | const float m_Scale; |
| 645 | const int32_t m_Offset; |
| 646 | }; |
| 647 | |
Narumol Prangnawarat | 8832522 | 2020-03-06 14:45:57 +0000 | [diff] [blame] | 648 | class BFloat16Encoder : public TypedIterator<armnn::BFloat16, Encoder<float>> |
| 649 | { |
| 650 | public: |
| 651 | BFloat16Encoder(armnn::BFloat16* data) |
| 652 | : TypedIterator(data) {} |
| 653 | |
| 654 | BFloat16Encoder() |
| 655 | : BFloat16Encoder(nullptr) {} |
| 656 | |
| 657 | void Set(float right) override |
| 658 | { |
| 659 | armnnUtils::FloatingPointConverter::ConvertFloat32ToBFloat16(&right, 1, m_Iterator); |
| 660 | } |
| 661 | |
| 662 | float Get() const override |
| 663 | { |
| 664 | float val = 0.f; |
| 665 | armnnUtils::FloatingPointConverter::ConvertBFloat16ToFloat32(m_Iterator, 1, &val); |
| 666 | return val; |
| 667 | } |
| 668 | }; |
| 669 | |
Matthew Jackson | e69c399 | 2019-09-09 14:31:21 +0100 | [diff] [blame] | 670 | class Float16Encoder : public TypedIterator<Half, Encoder<float>> |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 671 | { |
| 672 | public: |
Matthew Jackson | e69c399 | 2019-09-09 14:31:21 +0100 | [diff] [blame] | 673 | Float16Encoder(Half* data) |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 674 | : TypedIterator(data) {} |
| 675 | |
Matthew Jackson | e69c399 | 2019-09-09 14:31:21 +0100 | [diff] [blame] | 676 | Float16Encoder() |
| 677 | : Float16Encoder(nullptr) {} |
| 678 | |
| 679 | void Set(float right) override |
| 680 | { |
| 681 | armnnUtils::FloatingPointConverter::ConvertFloat32To16(&right, 1, m_Iterator); |
| 682 | } |
| 683 | |
| 684 | float Get() const override |
| 685 | { |
| 686 | float val = 0.f; |
| 687 | armnnUtils::FloatingPointConverter::ConvertFloat16To32(m_Iterator, 1, &val); |
| 688 | return val; |
| 689 | } |
| 690 | }; |
| 691 | |
| 692 | class Float32Encoder : public TypedIterator<float, Encoder<float>> |
| 693 | { |
| 694 | public: |
| 695 | Float32Encoder(float* data) |
| 696 | : TypedIterator(data) {} |
| 697 | |
| 698 | Float32Encoder() |
| 699 | : Float32Encoder(nullptr) {} |
Matthew Bentham | c394a6d | 2019-06-24 12:51:25 +0100 | [diff] [blame] | 700 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 701 | void Set(float right) override |
| 702 | { |
| 703 | *m_Iterator = right; |
| 704 | } |
Nattapat Chaimanowong | eb2b329 | 2019-05-07 12:02:30 +0100 | [diff] [blame] | 705 | |
| 706 | float Get() const override |
| 707 | { |
| 708 | return *m_Iterator; |
| 709 | } |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 710 | }; |
| 711 | |
Aron Virginas-Tar | 198ee40 | 2019-08-02 18:54:28 +0100 | [diff] [blame] | 712 | class Int32Encoder : public TypedIterator<int32_t, Encoder<float>> |
| 713 | { |
| 714 | public: |
| 715 | Int32Encoder(int32_t* data) |
| 716 | : TypedIterator(data) {} |
| 717 | |
| 718 | Int32Encoder() |
| 719 | : Int32Encoder(nullptr) {} |
| 720 | |
| 721 | void Set(float right) override |
| 722 | { |
| 723 | *m_Iterator = static_cast<int32_t>(right); |
| 724 | } |
| 725 | |
| 726 | float Get() const override |
| 727 | { |
| 728 | return static_cast<float>(*m_Iterator); |
| 729 | } |
| 730 | }; |
| 731 | |
Finn Williams | cbd2c23 | 2020-06-22 15:58:32 +0100 | [diff] [blame] | 732 | class Int32ToInt32tEncoder : public TypedIterator<int32_t, Encoder<int32_t>> |
| 733 | { |
| 734 | public: |
| 735 | Int32ToInt32tEncoder(int32_t* data) |
| 736 | : TypedIterator(data){} |
| 737 | |
| 738 | Int32ToInt32tEncoder() |
| 739 | : Int32ToInt32tEncoder(nullptr) {} |
| 740 | |
| 741 | void Set(int32_t right) override |
| 742 | { |
| 743 | *m_Iterator = right; |
| 744 | } |
| 745 | |
| 746 | int32_t Get() const override |
| 747 | { |
| 748 | return *m_Iterator; |
| 749 | } |
| 750 | }; |
| 751 | |
Derek Lamberti | f30f7d3 | 2019-04-09 10:25:02 +0100 | [diff] [blame] | 752 | class BooleanEncoder : public TypedIterator<uint8_t, Encoder<bool>> |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 753 | { |
| 754 | public: |
| 755 | BooleanEncoder(uint8_t* data) |
| 756 | : TypedIterator(data) {} |
| 757 | |
Matthew Bentham | c394a6d | 2019-06-24 12:51:25 +0100 | [diff] [blame] | 758 | BooleanEncoder() |
| 759 | : BooleanEncoder(nullptr) {} |
| 760 | |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 761 | void Set(bool right) override |
| 762 | { |
| 763 | *m_Iterator = right; |
| 764 | } |
Nattapat Chaimanowong | eb2b329 | 2019-05-07 12:02:30 +0100 | [diff] [blame] | 765 | |
| 766 | bool Get() const override |
| 767 | { |
| 768 | return *m_Iterator; |
| 769 | } |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 770 | }; |
| 771 | |
Keith Davis | 5236e1d | 2019-11-04 08:58:33 +0000 | [diff] [blame] | 772 | // PerAxisIterator for per-axis quantization |
| 773 | template<typename T, typename Base> |
| 774 | class PerAxisIterator : public Base |
| 775 | { |
| 776 | public: |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 777 | // axisFactor is used to calculate channelStep |
Keith Davis | 5236e1d | 2019-11-04 08:58:33 +0000 | [diff] [blame] | 778 | PerAxisIterator(T* data = nullptr, unsigned int axisFactor = 0) |
| 779 | : m_Iterator(data), m_Start(data), m_AxisIndex(0), m_AxisFactor(axisFactor) |
| 780 | {} |
| 781 | |
| 782 | // This should be called to set index for per-axis Encoder/Decoder |
Aron Virginas-Tar | 5edc881 | 2019-11-05 18:00:21 +0000 | [diff] [blame] | 783 | PerAxisIterator& SetIndex(unsigned int index, unsigned int axisIndex) override |
Keith Davis | 5236e1d | 2019-11-04 08:58:33 +0000 | [diff] [blame] | 784 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 785 | ARMNN_ASSERT(m_Iterator); |
Keith Davis | 5236e1d | 2019-11-04 08:58:33 +0000 | [diff] [blame] | 786 | m_Iterator = m_Start + index; |
| 787 | m_AxisIndex = axisIndex; |
| 788 | return *this; |
| 789 | } |
| 790 | |
| 791 | void Reset(void* data) override |
| 792 | { |
| 793 | m_Iterator = reinterpret_cast<T*>(data); |
| 794 | m_Start = m_Iterator; |
| 795 | m_AxisIndex = 0; |
| 796 | } |
| 797 | |
| 798 | PerAxisIterator& operator++() override |
| 799 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 800 | ARMNN_ASSERT(m_Iterator); |
Keith Davis | 5236e1d | 2019-11-04 08:58:33 +0000 | [diff] [blame] | 801 | ++m_Iterator; |
| 802 | m_AxisIndex = static_cast<unsigned int>(*m_Iterator) % m_AxisFactor; |
| 803 | return *this; |
| 804 | } |
| 805 | |
| 806 | PerAxisIterator& operator+=(const unsigned int increment) override |
| 807 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 808 | ARMNN_ASSERT(m_Iterator); |
Keith Davis | 5236e1d | 2019-11-04 08:58:33 +0000 | [diff] [blame] | 809 | m_Iterator += increment; |
| 810 | m_AxisIndex = static_cast<unsigned int>(*m_Iterator) % m_AxisFactor; |
| 811 | return *this; |
| 812 | } |
| 813 | |
| 814 | PerAxisIterator& operator-=(const unsigned int decrement) override |
| 815 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 816 | ARMNN_ASSERT(m_Iterator); |
Keith Davis | 5236e1d | 2019-11-04 08:58:33 +0000 | [diff] [blame] | 817 | m_Iterator -= decrement; |
| 818 | m_AxisIndex = static_cast<unsigned int>(*m_Iterator) % m_AxisFactor; |
| 819 | return *this; |
| 820 | } |
| 821 | |
| 822 | PerAxisIterator& operator[](const unsigned int index) override |
| 823 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 824 | ARMNN_ASSERT(m_Iterator); |
Keith Davis | 5236e1d | 2019-11-04 08:58:33 +0000 | [diff] [blame] | 825 | m_Iterator = m_Start + index; |
| 826 | m_AxisIndex = static_cast<unsigned int>(*m_Iterator) % m_AxisFactor; |
| 827 | return *this; |
| 828 | } |
| 829 | |
| 830 | protected: |
| 831 | T* m_Iterator; |
| 832 | T* m_Start; |
| 833 | unsigned int m_AxisIndex; |
| 834 | unsigned int m_AxisFactor; |
| 835 | }; |
| 836 | |
| 837 | class QSymm8PerAxisDecoder : public PerAxisIterator<const int8_t, Decoder<float>> |
| 838 | { |
| 839 | public: |
| 840 | QSymm8PerAxisDecoder(const int8_t* data, const std::vector<float>& scale, unsigned int axisFactor) |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 841 | : PerAxisIterator(data, axisFactor), m_Scales(scale) {} |
Keith Davis | 5236e1d | 2019-11-04 08:58:33 +0000 | [diff] [blame] | 842 | |
| 843 | float Get() const override |
| 844 | { |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 845 | return armnn::Dequantize(*m_Iterator, m_Scales[m_AxisIndex], 0); |
Keith Davis | 5236e1d | 2019-11-04 08:58:33 +0000 | [diff] [blame] | 846 | } |
| 847 | |
| 848 | // Get scale of the current value |
| 849 | float GetScale() const |
| 850 | { |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 851 | return m_Scales[m_AxisIndex]; |
Keith Davis | 5236e1d | 2019-11-04 08:58:33 +0000 | [diff] [blame] | 852 | } |
| 853 | |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 854 | std::vector<float> DecodeTensor(const TensorShape &tensorShape, |
| 855 | const unsigned int channelMultiplier, |
| 856 | bool isDepthwise) override |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 857 | { |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 858 | const uint32_t size = tensorShape.GetNumElements(); |
| 859 | const uint32_t scaleSize = static_cast<uint32_t>(m_Scales.size()); |
| 860 | |
| 861 | const uint32_t stepSize = isDepthwise ? |
| 862 | tensorShape[2] * tensorShape[3] : tensorShape.GetNumElements() / tensorShape[0]; |
| 863 | |
| 864 | const uint32_t stepNum = size / (stepSize * channelMultiplier); |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 865 | uint32_t scale; |
| 866 | |
| 867 | std::vector<float> decodedTensor; |
| 868 | decodedTensor.reserve(size); |
| 869 | |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 870 | // channelMultiplier is only used in depthwise convolutions and in other cases will have no effect |
| 871 | // stepSize is the length of a contiguous area sharing a quantization scale within a tensor |
| 872 | // stepNum is the number of those steps/blocks in the tensor |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 873 | for (uint32_t mult = 0; mult < channelMultiplier; ++mult) |
| 874 | { |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 875 | for (uint32_t step = 0; step < stepNum; ++step) |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 876 | { |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 877 | scale = (channelMultiplier * step + mult) % scaleSize; |
| 878 | for (uint32_t i = 0; i < stepSize; ++i) |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 879 | { |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 880 | unsigned int index = mult * stepSize * channelMultiplier + |
| 881 | step * stepSize + i; |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 882 | this->operator[](index); |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 883 | decodedTensor.emplace_back(armnn::Dequantize(*m_Iterator, m_Scales[scale], 0)); |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 884 | } |
| 885 | } |
| 886 | } |
| 887 | return decodedTensor; |
| 888 | } |
| 889 | |
Keith Davis | 5236e1d | 2019-11-04 08:58:33 +0000 | [diff] [blame] | 890 | private: |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 891 | std::vector<float> m_Scales; |
Keith Davis | 5236e1d | 2019-11-04 08:58:33 +0000 | [diff] [blame] | 892 | }; |
| 893 | |
| 894 | class QSymm8PerAxisEncoder : public PerAxisIterator<int8_t, Encoder<float>> |
| 895 | { |
| 896 | public: |
| 897 | QSymm8PerAxisEncoder(int8_t* data, const std::vector<float>& scale, unsigned int axisFactor) |
| 898 | : PerAxisIterator(data, axisFactor), m_Scale(scale) {} |
| 899 | |
| 900 | void Set(float right) |
| 901 | { |
| 902 | *m_Iterator = armnn::Quantize<int8_t>(right, m_Scale[m_AxisIndex], 0); |
| 903 | } |
| 904 | |
| 905 | float Get() const |
| 906 | { |
| 907 | return armnn::Dequantize(*m_Iterator, m_Scale[m_AxisIndex], 0); |
| 908 | } |
| 909 | |
| 910 | // Get scale of the current value |
| 911 | float GetScale() const |
| 912 | { |
| 913 | return m_Scale[m_AxisIndex]; |
| 914 | } |
| 915 | |
| 916 | private: |
| 917 | std::vector<float> m_Scale; |
| 918 | }; |
| 919 | |
Aron Virginas-Tar | b67f957 | 2019-11-04 15:00:19 +0000 | [diff] [blame] | 920 | class ScaledInt32PerAxisDecoder : public PerAxisIterator<const int32_t, Decoder<float>> |
| 921 | { |
| 922 | public: |
| 923 | ScaledInt32PerAxisDecoder(const int32_t* data, const std::vector<float>& scales, unsigned int axisFactor) |
| 924 | : PerAxisIterator(data, axisFactor), m_Scales(scales) {} |
| 925 | |
| 926 | float Get() const override |
| 927 | { |
| 928 | return armnn::Dequantize(*m_Iterator, m_Scales[m_AxisIndex], 0); |
| 929 | } |
| 930 | |
| 931 | // Get scale of the current value |
| 932 | float GetScale() const |
| 933 | { |
| 934 | return m_Scales[m_AxisIndex]; |
| 935 | } |
| 936 | |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 937 | std::vector<float> DecodeTensor(const TensorShape &tensorShape, |
| 938 | const unsigned int channelMultiplier, |
| 939 | bool isDepthwise) override |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 940 | { |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 941 | const uint32_t size = tensorShape.GetNumElements(); |
| 942 | const uint32_t scaleSize = static_cast<uint32_t>(m_Scales.size()); |
| 943 | |
| 944 | const uint32_t stepSize = isDepthwise ? |
| 945 | tensorShape[2] * tensorShape[3] : tensorShape.GetNumElements() / tensorShape[0]; |
| 946 | |
| 947 | const uint32_t stepNum = size / (stepSize * channelMultiplier); |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 948 | uint32_t scale; |
| 949 | |
| 950 | std::vector<float> decodedTensor; |
| 951 | decodedTensor.reserve(size); |
| 952 | |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 953 | // channelMultiplier is only used in depthwise convolutions and in other cases will have no effect |
| 954 | // stepSize is the length of a contiguous area sharing a quantization scale within a tensor |
| 955 | // stepNum is the number of those steps/blocks in the tensor |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 956 | for (uint32_t mult = 0; mult < channelMultiplier; ++mult) |
| 957 | { |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 958 | for (uint32_t step = 0; step < stepNum; ++step) |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 959 | { |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 960 | scale = (channelMultiplier * step + mult) % scaleSize; |
| 961 | for (uint32_t i = 0; i < stepSize; ++i) |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 962 | { |
Finn Williams | ea8ce70 | 2020-09-29 19:54:00 +0100 | [diff] [blame] | 963 | unsigned int index = mult * stepSize * channelMultiplier + |
| 964 | step * stepSize + i; |
Finn Williams | b9dcfe6 | 2020-09-17 15:58:31 +0100 | [diff] [blame] | 965 | this->operator[](index); |
| 966 | decodedTensor.emplace_back(armnn::Dequantize(*m_Iterator, m_Scales[scale], 0)); |
| 967 | } |
| 968 | } |
| 969 | } |
| 970 | return decodedTensor; |
| 971 | } |
| 972 | |
Aron Virginas-Tar | b67f957 | 2019-11-04 15:00:19 +0000 | [diff] [blame] | 973 | private: |
| 974 | std::vector<float> m_Scales; |
| 975 | }; |
| 976 | |
| 977 | } // namespace armnn |