Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 1 | // |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 2 | // Copyright © 2021, 2023 Arm Ltd and Contributors. All rights reserved. |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #pragma once |
| 7 | |
| 8 | #include "TestUtils.hpp" |
| 9 | |
| 10 | #include <armnn_delegate.hpp> |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 11 | #include <DelegateTestInterpreter.hpp> |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 12 | |
| 13 | #include <flatbuffers/flatbuffers.h> |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 14 | #include <tensorflow/lite/kernels/register.h> |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 15 | #include <tensorflow/lite/version.h> |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 16 | |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 17 | #include <doctest/doctest.h> |
| 18 | |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 19 | #include <armnn/utility/IgnoreUnused.hpp> |
| 20 | #include <armnn/utility/NumericCast.hpp> |
| 21 | #include <armnn/TypesUtils.hpp> |
| 22 | |
| 23 | #include <armnn/Types.hpp> |
| 24 | |
| 25 | #include <initializer_list> |
| 26 | #include <iterator> |
| 27 | #include <vector> |
| 28 | |
| 29 | namespace |
| 30 | { |
| 31 | |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 32 | template<typename T> |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 33 | std::vector<char> CreateUnidirectionalSequenceLstmTfLiteModel(tflite::TensorType tensorType, |
| 34 | int32_t batchSize, |
| 35 | int32_t timeSize, |
| 36 | int32_t inputSize, |
| 37 | int32_t outputSize, |
| 38 | int32_t numUnits, |
| 39 | bool hasInputToInputWeights, |
| 40 | const std::vector<T>& inputToInputWeights, |
| 41 | const std::vector<T>& inputToForgetWeights, |
| 42 | const std::vector<T>& inputToCellWeights, |
| 43 | const std::vector<T>& inputToOutputWeights, |
| 44 | bool hasRecurrentToInputWeights, |
| 45 | const std::vector<T>& recurrentToInputWeights, |
| 46 | const std::vector<T>& recurrentToForgetWeights, |
| 47 | const std::vector<T>& recurrentToCellWeights, |
| 48 | const std::vector<T>& recurrentToOutputWeights, |
| 49 | bool hasCellToInputWeights, |
| 50 | const std::vector<T>& cellToInputWeights, |
| 51 | bool hasCellToForgetWeights, |
| 52 | const std::vector<T>& cellToForgetWeights, |
| 53 | bool hasCellToOutputWeights, |
| 54 | const std::vector<T>& cellToOutputWeights, |
| 55 | bool hasInputGateBias, |
| 56 | const std::vector<float>& inputGateBias, |
| 57 | const std::vector<float>& forgetGateBias, |
| 58 | const std::vector<float>& cellBias, |
| 59 | const std::vector<float>& outputGateBias, |
| 60 | bool hasProjectionWeights, |
| 61 | const std::vector<T>& projectionWeights, |
| 62 | bool hasProjectionBias, |
| 63 | const std::vector<float>& projectionBias, |
| 64 | bool hasInputLayerNormWeights, |
| 65 | const std::vector<float>& inputLayerNormWeights, |
| 66 | bool hasForgetLayerNormWeights, |
| 67 | const std::vector<float>& forgetLayerNormWeights, |
| 68 | bool hasCellLayerNormWeights, |
| 69 | const std::vector<float>& cellLayerNormWeights, |
| 70 | bool hasOutputLayerNormWeights, |
| 71 | const std::vector<float>& outputLayerNormWeights, |
| 72 | tflite::ActivationFunctionType activationFunction, |
| 73 | float clippingThresCell, |
| 74 | float clippingThresProj, |
| 75 | bool isTimeMajor, |
| 76 | float quantScale, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 77 | int quantOffset = 0) |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 78 | { |
| 79 | |
| 80 | std::vector<int32_t> tensorInfo0{}; |
| 81 | std::vector<int32_t> tensorInfoNumUnits{numUnits}; |
| 82 | std::vector<int32_t> tensorInfoInputSize{numUnits, inputSize}; |
| 83 | std::vector<int32_t> tensorInfoOutputSize{numUnits, outputSize}; |
| 84 | |
| 85 | std::vector<int32_t> inputShape; |
| 86 | std::vector<int32_t> outputShape; |
| 87 | if (isTimeMajor) |
| 88 | { |
| 89 | inputShape = {timeSize, batchSize, inputSize}; |
| 90 | outputShape = {timeSize, batchSize, outputSize}; |
| 91 | } |
| 92 | else |
| 93 | { |
| 94 | inputShape = {batchSize, timeSize, inputSize}; |
| 95 | outputShape = {batchSize, timeSize, outputSize}; |
| 96 | } |
| 97 | std::vector<int32_t> outputStateInDimensions{batchSize, outputSize}; |
| 98 | std::vector<int32_t> cellStateInDimensions{batchSize, numUnits}; |
| 99 | std::vector<int32_t> projectionWeightDimensions{outputSize, numUnits}; |
| 100 | std::vector<int32_t> projectionBiasDimensions{outputSize}; |
| 101 | |
| 102 | std::vector<int> operatorInputs; |
| 103 | using namespace tflite; |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 104 | flatbuffers::FlatBufferBuilder flatBufferBuilder; |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 105 | std::vector<flatbuffers::Offset<tflite::Buffer>> buffers; |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 106 | std::vector<flatbuffers::Offset<Tensor>> tensors; |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 107 | |
| 108 | auto quantizationParameters = |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 109 | CreateQuantizationParameters(flatBufferBuilder, |
| 110 | 0, |
| 111 | 0, |
| 112 | flatBufferBuilder.CreateVector<float>({1.0f}), |
| 113 | flatBufferBuilder.CreateVector<int64_t>({0})); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 114 | |
| 115 | auto weightQuantizationParameters = |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 116 | CreateQuantizationParameters(flatBufferBuilder, |
| 117 | 0, |
| 118 | 0, |
| 119 | flatBufferBuilder.CreateVector<float>({quantScale}), |
| 120 | flatBufferBuilder.CreateVector<int64_t>({quantOffset})); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 121 | |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 122 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
| 123 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 124 | tensors.push_back(CreateTensor(flatBufferBuilder, |
| 125 | flatBufferBuilder.CreateVector<int32_t>(inputShape.data(), |
| 126 | inputShape.size()), |
| 127 | ::tflite::TensorType_FLOAT32, |
| 128 | buffers.size() - 1, |
| 129 | flatBufferBuilder.CreateString("input_0"))); |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 130 | operatorInputs.push_back(tensors.size() - 1); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 131 | |
| 132 | if (hasInputToInputWeights) |
| 133 | { |
| 134 | buffers.push_back( |
| 135 | CreateBuffer(flatBufferBuilder, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 136 | flatBufferBuilder.CreateVector( |
| 137 | reinterpret_cast<const uint8_t*>(inputToInputWeights.data()), |
| 138 | sizeof(T) * inputToInputWeights.size()))); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 139 | tensors.push_back(CreateTensor(flatBufferBuilder, |
| 140 | flatBufferBuilder.CreateVector<int32_t>(tensorInfoInputSize.data(), |
| 141 | tensorInfoInputSize.size()), |
| 142 | tensorType, |
| 143 | buffers.size() - 1, |
| 144 | flatBufferBuilder.CreateString("inputToInputWeights"), |
| 145 | weightQuantizationParameters)); |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 146 | operatorInputs.push_back(tensors.size() - 1); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 147 | } |
| 148 | else |
| 149 | { |
| 150 | operatorInputs.push_back(kTfLiteOptionalTensor); |
| 151 | } |
| 152 | |
| 153 | buffers.push_back( |
| 154 | CreateBuffer(flatBufferBuilder, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 155 | flatBufferBuilder.CreateVector( |
| 156 | reinterpret_cast<const uint8_t*>(inputToForgetWeights.data()), |
| 157 | sizeof(T) * inputToForgetWeights.size()))); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 158 | tensors.push_back(CreateTensor(flatBufferBuilder, |
| 159 | flatBufferBuilder.CreateVector<int32_t>(tensorInfoInputSize.data(), |
| 160 | tensorInfoInputSize.size()), |
| 161 | tensorType, |
| 162 | buffers.size() - 1, |
| 163 | flatBufferBuilder.CreateString("inputToForgetWeights"), |
| 164 | weightQuantizationParameters)); |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 165 | operatorInputs.push_back(tensors.size() - 1); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 166 | |
| 167 | buffers.push_back( |
| 168 | CreateBuffer(flatBufferBuilder, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 169 | flatBufferBuilder.CreateVector( |
| 170 | reinterpret_cast<const uint8_t*>(inputToCellWeights.data()), |
| 171 | sizeof(T) * inputToCellWeights.size()))); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 172 | tensors.push_back(CreateTensor(flatBufferBuilder, |
| 173 | flatBufferBuilder.CreateVector<int32_t>(tensorInfoInputSize.data(), |
| 174 | tensorInfoInputSize.size()), |
| 175 | tensorType, |
| 176 | buffers.size() - 1, |
| 177 | flatBufferBuilder.CreateString("inputToCellWeights"), |
| 178 | weightQuantizationParameters)); |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 179 | operatorInputs.push_back(tensors.size() - 1); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 180 | |
| 181 | buffers.push_back( |
| 182 | CreateBuffer(flatBufferBuilder, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 183 | flatBufferBuilder.CreateVector( |
| 184 | reinterpret_cast<const uint8_t*>(inputToOutputWeights.data()), |
| 185 | sizeof(T) * inputToOutputWeights.size()))); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 186 | tensors.push_back(CreateTensor(flatBufferBuilder, |
| 187 | flatBufferBuilder.CreateVector<int32_t>(tensorInfoInputSize.data(), |
| 188 | tensorInfoInputSize.size()), |
| 189 | tensorType, |
| 190 | buffers.size() - 1, |
| 191 | flatBufferBuilder.CreateString("inputToOutputWeights"), |
| 192 | weightQuantizationParameters)); |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 193 | operatorInputs.push_back(tensors.size() - 1); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 194 | |
| 195 | if (hasRecurrentToInputWeights) |
| 196 | { |
| 197 | buffers.push_back(CreateBuffer( |
| 198 | flatBufferBuilder, |
| 199 | flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(recurrentToInputWeights.data()), |
| 200 | sizeof(T) * recurrentToInputWeights.size()))); |
| 201 | tensors.push_back(CreateTensor(flatBufferBuilder, |
| 202 | flatBufferBuilder.CreateVector<int32_t>(tensorInfoOutputSize.data(), |
| 203 | tensorInfoOutputSize.size()), |
| 204 | tensorType, |
| 205 | buffers.size() - 1, |
| 206 | flatBufferBuilder.CreateString("recurrentToInputWeights"), |
| 207 | weightQuantizationParameters)); |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 208 | operatorInputs.push_back(tensors.size() - 1); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 209 | } |
| 210 | else |
| 211 | { |
| 212 | operatorInputs.push_back(kTfLiteOptionalTensor); |
| 213 | } |
| 214 | |
| 215 | buffers.push_back( |
| 216 | CreateBuffer(flatBufferBuilder, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 217 | flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>( |
| 218 | recurrentToForgetWeights.data()), |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 219 | sizeof(T) * recurrentToForgetWeights.size()))); |
| 220 | tensors.push_back(CreateTensor(flatBufferBuilder, |
| 221 | flatBufferBuilder.CreateVector<int32_t>(tensorInfoOutputSize.data(), |
| 222 | tensorInfoOutputSize.size()), |
| 223 | tensorType, |
| 224 | buffers.size() - 1, |
| 225 | flatBufferBuilder.CreateString("recurrentToForgetWeights"), |
| 226 | weightQuantizationParameters)); |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 227 | operatorInputs.push_back(tensors.size() - 1); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 228 | |
| 229 | buffers.push_back( |
| 230 | CreateBuffer(flatBufferBuilder, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 231 | flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>( |
| 232 | recurrentToCellWeights.data()), |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 233 | sizeof(T) * recurrentToCellWeights.size()))); |
| 234 | tensors.push_back(CreateTensor(flatBufferBuilder, |
| 235 | flatBufferBuilder.CreateVector<int32_t>(tensorInfoOutputSize.data(), |
| 236 | tensorInfoOutputSize.size()), |
| 237 | tensorType, |
| 238 | buffers.size() - 1, |
| 239 | flatBufferBuilder.CreateString("recurrentToCellWeights"), |
| 240 | weightQuantizationParameters)); |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 241 | operatorInputs.push_back(tensors.size() - 1); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 242 | |
| 243 | buffers.push_back( |
| 244 | CreateBuffer(flatBufferBuilder, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 245 | flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>( |
| 246 | recurrentToOutputWeights.data()), |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 247 | sizeof(T) * recurrentToOutputWeights.size()))); |
| 248 | tensors.push_back(CreateTensor(flatBufferBuilder, |
| 249 | flatBufferBuilder.CreateVector<int32_t>(tensorInfoOutputSize.data(), |
| 250 | tensorInfoOutputSize.size()), |
| 251 | tensorType, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 252 | buffers.size() - 1, |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 253 | flatBufferBuilder.CreateString("recurrentToOutputWeights"), |
| 254 | weightQuantizationParameters)); |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 255 | operatorInputs.push_back(tensors.size() - 1); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 256 | |
| 257 | if (hasCellToInputWeights) |
| 258 | { |
| 259 | buffers.push_back( |
| 260 | CreateBuffer(flatBufferBuilder, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 261 | flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>( |
| 262 | cellToInputWeights.data()), |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 263 | sizeof(T) * cellToInputWeights.size()))); |
| 264 | tensors.push_back(CreateTensor(flatBufferBuilder, |
| 265 | flatBufferBuilder.CreateVector<int32_t>(tensorInfoNumUnits.data(), |
| 266 | tensorInfoNumUnits.size()), |
| 267 | tensorType, |
| 268 | buffers.size() - 1, |
| 269 | flatBufferBuilder.CreateString("cellToInputWeights"), |
| 270 | weightQuantizationParameters)); |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 271 | operatorInputs.push_back(tensors.size() - 1); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 272 | } |
| 273 | else |
| 274 | { |
| 275 | operatorInputs.push_back(kTfLiteOptionalTensor); |
| 276 | } |
| 277 | |
| 278 | if (hasCellToForgetWeights) |
| 279 | { |
| 280 | buffers.push_back( |
| 281 | CreateBuffer(flatBufferBuilder, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 282 | flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>( |
| 283 | cellToForgetWeights.data()), |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 284 | sizeof(T) * cellToForgetWeights.size()))); |
| 285 | tensors.push_back(CreateTensor(flatBufferBuilder, |
| 286 | flatBufferBuilder.CreateVector<int32_t>(tensorInfoNumUnits.data(), |
| 287 | tensorInfoNumUnits.size()), |
| 288 | tensorType, |
| 289 | buffers.size() - 1, |
| 290 | flatBufferBuilder.CreateString("cellToForgetWeights"), |
| 291 | weightQuantizationParameters)); |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 292 | operatorInputs.push_back(tensors.size() - 1); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 293 | } |
| 294 | else |
| 295 | { |
| 296 | operatorInputs.push_back(kTfLiteOptionalTensor); |
| 297 | } |
| 298 | |
| 299 | if (hasCellToOutputWeights) |
| 300 | { |
| 301 | buffers.push_back( |
| 302 | CreateBuffer(flatBufferBuilder, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 303 | flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>( |
| 304 | cellToOutputWeights.data()), |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 305 | sizeof(T) * cellToOutputWeights.size()))); |
| 306 | tensors.push_back(CreateTensor(flatBufferBuilder, |
| 307 | flatBufferBuilder.CreateVector<int32_t>(tensorInfoNumUnits.data(), |
| 308 | tensorInfoNumUnits.size()), |
| 309 | tensorType, |
| 310 | buffers.size() - 1, |
| 311 | flatBufferBuilder.CreateString("cellToOutputWeights"), |
| 312 | weightQuantizationParameters)); |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 313 | operatorInputs.push_back(tensors.size() - 1); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 314 | } |
| 315 | else |
| 316 | { |
| 317 | operatorInputs.push_back(kTfLiteOptionalTensor); |
| 318 | } |
| 319 | |
| 320 | if (hasInputGateBias) |
| 321 | { |
| 322 | buffers.push_back( |
| 323 | CreateBuffer(flatBufferBuilder, |
| 324 | flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(inputGateBias.data()), |
| 325 | sizeof(float) * inputGateBias.size()))); |
| 326 | tensors.push_back(CreateTensor(flatBufferBuilder, |
| 327 | flatBufferBuilder.CreateVector<int32_t>(tensorInfoNumUnits.data(), |
| 328 | tensorInfoNumUnits.size()), |
| 329 | ::tflite::TensorType_FLOAT32, |
| 330 | buffers.size() - 1, |
| 331 | flatBufferBuilder.CreateString("inputGateBias"))); |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 332 | operatorInputs.push_back(tensors.size() - 1); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 333 | } |
| 334 | else |
| 335 | { |
| 336 | operatorInputs.push_back(kTfLiteOptionalTensor); |
| 337 | } |
| 338 | |
| 339 | buffers.push_back( |
| 340 | CreateBuffer(flatBufferBuilder, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 341 | flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(forgetGateBias.data()), |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 342 | sizeof(float) * forgetGateBias.size()))); |
| 343 | tensors.push_back(CreateTensor(flatBufferBuilder, |
| 344 | flatBufferBuilder.CreateVector<int32_t>(tensorInfoNumUnits.data(), |
| 345 | tensorInfoNumUnits.size()), |
| 346 | ::tflite::TensorType_FLOAT32, |
| 347 | buffers.size() - 1, |
| 348 | flatBufferBuilder.CreateString("forgetGateBias"))); |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 349 | operatorInputs.push_back(tensors.size() - 1); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 350 | |
| 351 | buffers.push_back( |
| 352 | CreateBuffer(flatBufferBuilder, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 353 | flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(cellBias.data()), |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 354 | sizeof(float) * cellBias.size()))); |
| 355 | tensors.push_back(CreateTensor(flatBufferBuilder, |
| 356 | flatBufferBuilder.CreateVector<int32_t>(tensorInfoNumUnits.data(), |
| 357 | tensorInfoNumUnits.size()), |
| 358 | ::tflite::TensorType_FLOAT32, |
| 359 | buffers.size() - 1, |
| 360 | flatBufferBuilder.CreateString("cellBias"))); |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 361 | operatorInputs.push_back(tensors.size() - 1); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 362 | |
| 363 | buffers.push_back( |
| 364 | CreateBuffer(flatBufferBuilder, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 365 | flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(outputGateBias.data()), |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 366 | sizeof(float) * outputGateBias.size()))); |
| 367 | tensors.push_back(CreateTensor(flatBufferBuilder, |
| 368 | flatBufferBuilder.CreateVector<int32_t>(tensorInfoNumUnits.data(), |
| 369 | tensorInfoNumUnits.size()), |
| 370 | ::tflite::TensorType_FLOAT32, |
| 371 | buffers.size() - 1, |
| 372 | flatBufferBuilder.CreateString("outputGateBias"))); |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 373 | operatorInputs.push_back(tensors.size() - 1); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 374 | |
| 375 | if (hasProjectionWeights) |
| 376 | { |
| 377 | buffers.push_back( |
| 378 | CreateBuffer(flatBufferBuilder, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 379 | flatBufferBuilder.CreateVector( |
| 380 | reinterpret_cast<const uint8_t*>(projectionWeights.data()), |
| 381 | sizeof(T) * projectionWeights.size()))); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 382 | tensors.push_back(CreateTensor(flatBufferBuilder, |
| 383 | flatBufferBuilder.CreateVector<int32_t>(projectionWeightDimensions.data(), |
| 384 | projectionWeightDimensions.size()), |
| 385 | tensorType, |
| 386 | buffers.size() - 1, |
| 387 | flatBufferBuilder.CreateString("projectionWeights"), |
| 388 | weightQuantizationParameters)); |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 389 | operatorInputs.push_back(tensors.size() - 1); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 390 | } |
| 391 | else |
| 392 | { |
| 393 | operatorInputs.push_back(kTfLiteOptionalTensor); |
| 394 | } |
| 395 | |
| 396 | if (hasProjectionBias) |
| 397 | { |
| 398 | buffers.push_back( |
| 399 | CreateBuffer(flatBufferBuilder, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 400 | flatBufferBuilder.CreateVector( |
| 401 | reinterpret_cast<const uint8_t*>(projectionBias.data()), |
| 402 | sizeof(float) * projectionBias.size()))); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 403 | tensors.push_back(CreateTensor(flatBufferBuilder, |
| 404 | flatBufferBuilder.CreateVector<int32_t>(projectionBiasDimensions.data(), |
| 405 | projectionBiasDimensions.size()), |
| 406 | ::tflite::TensorType_FLOAT32, |
| 407 | buffers.size() - 1, |
| 408 | flatBufferBuilder.CreateString("projectionBias"))); |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 409 | operatorInputs.push_back(tensors.size() - 1); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 410 | } |
| 411 | else |
| 412 | { |
| 413 | operatorInputs.push_back(kTfLiteOptionalTensor); |
| 414 | } |
| 415 | |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 416 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 417 | tensors.push_back(CreateTensor(flatBufferBuilder, |
| 418 | flatBufferBuilder.CreateVector<int32_t>(outputStateInDimensions.data(), |
| 419 | outputStateInDimensions.size()), |
| 420 | ::tflite::TensorType_FLOAT32, |
| 421 | buffers.size() - 1, |
| 422 | flatBufferBuilder.CreateString("outputStateInInfo"), |
| 423 | quantizationParameters, |
| 424 | true)); |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 425 | operatorInputs.push_back(tensors.size() - 1); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 426 | |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 427 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 428 | tensors.push_back(CreateTensor(flatBufferBuilder, |
| 429 | flatBufferBuilder.CreateVector<int32_t>(cellStateInDimensions.data(), |
| 430 | cellStateInDimensions.size()), |
| 431 | ::tflite::TensorType_FLOAT32, |
| 432 | buffers.size() - 1, |
| 433 | flatBufferBuilder.CreateString("cellStateInInfo"), |
| 434 | quantizationParameters, |
| 435 | true)); |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 436 | operatorInputs.push_back(tensors.size() - 1); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 437 | |
| 438 | if (hasInputLayerNormWeights) |
| 439 | { |
| 440 | buffers.push_back( |
| 441 | CreateBuffer(flatBufferBuilder, |
| 442 | flatBufferBuilder.CreateVector( |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 443 | reinterpret_cast<const uint8_t*>(inputLayerNormWeights.data()), |
| 444 | sizeof(float) * inputLayerNormWeights.size()))); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 445 | tensors.push_back(CreateTensor(flatBufferBuilder, |
| 446 | flatBufferBuilder.CreateVector<int32_t>(tensorInfoNumUnits.data(), |
| 447 | tensorInfoNumUnits.size()), |
| 448 | ::tflite::TensorType_FLOAT32, |
| 449 | buffers.size() - 1, |
| 450 | flatBufferBuilder.CreateString("inputLayerNormWeights"))); |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 451 | operatorInputs.push_back(tensors.size() - 1); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 452 | } |
| 453 | else |
| 454 | { |
| 455 | operatorInputs.push_back(kTfLiteOptionalTensor); |
| 456 | } |
| 457 | |
| 458 | if (hasForgetLayerNormWeights) |
| 459 | { |
| 460 | buffers.push_back( |
| 461 | CreateBuffer(flatBufferBuilder, |
| 462 | flatBufferBuilder.CreateVector( |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 463 | reinterpret_cast<const uint8_t*>(forgetLayerNormWeights.data()), |
| 464 | sizeof(float) * forgetLayerNormWeights.size()))); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 465 | tensors.push_back(CreateTensor(flatBufferBuilder, |
| 466 | flatBufferBuilder.CreateVector<int32_t>(tensorInfoNumUnits.data(), |
| 467 | tensorInfoNumUnits.size()), |
| 468 | ::tflite::TensorType_FLOAT32, |
| 469 | buffers.size() - 1, |
| 470 | flatBufferBuilder.CreateString("forgetLayerNormWeights"))); |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 471 | operatorInputs.push_back(tensors.size() - 1); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 472 | } |
| 473 | else |
| 474 | { |
| 475 | operatorInputs.push_back(kTfLiteOptionalTensor); |
| 476 | } |
| 477 | |
| 478 | if (hasCellLayerNormWeights) |
| 479 | { |
| 480 | buffers.push_back( |
| 481 | CreateBuffer(flatBufferBuilder, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 482 | flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>( |
| 483 | cellLayerNormWeights.data()), |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 484 | sizeof(float) * cellLayerNormWeights.size()))); |
| 485 | tensors.push_back(CreateTensor(flatBufferBuilder, |
| 486 | flatBufferBuilder.CreateVector<int32_t>(tensorInfoNumUnits.data(), |
| 487 | tensorInfoNumUnits.size()), |
| 488 | ::tflite::TensorType_FLOAT32, |
| 489 | buffers.size() - 1, |
| 490 | flatBufferBuilder.CreateString("cellLayerNormWeights"))); |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 491 | operatorInputs.push_back(tensors.size() - 1); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 492 | } |
| 493 | else |
| 494 | { |
| 495 | operatorInputs.push_back(kTfLiteOptionalTensor); |
| 496 | } |
| 497 | |
| 498 | if (hasOutputLayerNormWeights) |
| 499 | { |
| 500 | buffers.push_back( |
| 501 | CreateBuffer(flatBufferBuilder, |
| 502 | flatBufferBuilder.CreateVector( |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 503 | reinterpret_cast<const uint8_t*>(outputLayerNormWeights.data()), |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 504 | sizeof(float) * outputLayerNormWeights.size()))); |
| 505 | tensors.push_back(CreateTensor(flatBufferBuilder, |
| 506 | flatBufferBuilder.CreateVector<int32_t>(tensorInfoNumUnits.data(), |
| 507 | tensorInfoNumUnits.size()), |
| 508 | ::tflite::TensorType_FLOAT32, |
| 509 | buffers.size() - 1, |
| 510 | flatBufferBuilder.CreateString("outputLayerNormWeights"))); |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 511 | operatorInputs.push_back(tensors.size() - 1); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 512 | } |
| 513 | else |
| 514 | { |
| 515 | operatorInputs.push_back(kTfLiteOptionalTensor); |
| 516 | } |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 517 | buffers.push_back(CreateBuffer(flatBufferBuilder)); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 518 | tensors.push_back(CreateTensor(flatBufferBuilder, |
| 519 | flatBufferBuilder.CreateVector<int32_t>(outputShape.data(), |
| 520 | outputShape.size()), |
| 521 | ::tflite::TensorType_FLOAT32, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 522 | buffers.size() - 1, |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 523 | flatBufferBuilder.CreateString("output"))); |
| 524 | std::vector<int> operatorOutputs; |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 525 | operatorOutputs.push_back(tensors.size() - 1); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 526 | |
| 527 | // create operator |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 528 | tflite::BuiltinOptions operatorBuiltinOptionsType = BuiltinOptions_UnidirectionalSequenceLSTMOptions; |
| 529 | flatbuffers::Offset<void> operatorBuiltinOptions = |
| 530 | CreateUnidirectionalSequenceLSTMOptions(flatBufferBuilder, |
| 531 | activationFunction, |
| 532 | clippingThresCell, |
| 533 | clippingThresProj, |
| 534 | isTimeMajor).Union(); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 535 | |
| 536 | flatbuffers::Offset<Operator> lstmOperator = |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 537 | CreateOperator(flatBufferBuilder, |
| 538 | 0, |
| 539 | flatBufferBuilder.CreateVector<int32_t>(operatorInputs.data(), |
| 540 | operatorInputs.size()), |
| 541 | flatBufferBuilder.CreateVector<int32_t>(operatorOutputs.data(), |
| 542 | operatorOutputs.size()), |
| 543 | operatorBuiltinOptionsType, operatorBuiltinOptions); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 544 | |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 545 | flatbuffers::Offset<SubGraph> subgraph = |
| 546 | CreateSubGraph(flatBufferBuilder, |
| 547 | flatBufferBuilder.CreateVector(tensors.data(), tensors.size()), |
| 548 | flatBufferBuilder.CreateVector<int32_t>(operatorInputs.data(), |
| 549 | operatorInputs.size()), |
| 550 | flatBufferBuilder.CreateVector<int32_t>(operatorOutputs.data(), |
| 551 | operatorOutputs.size()), |
| 552 | flatBufferBuilder.CreateVector(&lstmOperator, 1)); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 553 | |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 554 | flatbuffers::Offset<flatbuffers::String> modelDescription = |
| 555 | flatBufferBuilder.CreateString( |
| 556 | "ArmnnDelegate: UnidirectionalSequenceLSTM Operator Model"); |
| 557 | flatbuffers::Offset<OperatorCode> operatorCode = |
| 558 | CreateOperatorCode(flatBufferBuilder, |
| 559 | tflite::BuiltinOperator_UNIDIRECTIONAL_SEQUENCE_LSTM); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 560 | |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 561 | flatbuffers::Offset<Model> flatbufferModel = |
| 562 | CreateModel(flatBufferBuilder, |
| 563 | TFLITE_SCHEMA_VERSION, |
| 564 | flatBufferBuilder.CreateVector(&operatorCode, 1), |
| 565 | flatBufferBuilder.CreateVector(&subgraph, 1), |
| 566 | modelDescription, |
| 567 | flatBufferBuilder.CreateVector(buffers)); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 568 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 569 | flatBufferBuilder.Finish(flatbufferModel, armnnDelegate::FILE_IDENTIFIER); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 570 | |
| 571 | return std::vector<char>(flatBufferBuilder.GetBufferPointer(), |
| 572 | flatBufferBuilder.GetBufferPointer() + flatBufferBuilder.GetSize()); |
| 573 | } |
| 574 | |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 575 | template<typename T> |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 576 | void UnidirectionalSequenceLstmTestImpl(std::vector<armnn::BackendId>& backends, |
| 577 | tflite::TensorType tensorType, |
| 578 | int32_t batchSize, |
| 579 | int32_t timeSize, |
| 580 | int32_t inputSize, |
| 581 | int32_t outputSize, |
| 582 | int32_t numUnits, |
| 583 | bool hasInputToInputWeights, |
| 584 | const std::vector<T>& inputToInputWeights, |
| 585 | const std::vector<T>& inputToForgetWeights, |
| 586 | const std::vector<T>& inputToCellWeights, |
| 587 | const std::vector<T>& inputToOutputWeights, |
| 588 | bool hasRecurrentToInputWeights, |
| 589 | const std::vector<T>& recurrentToInputWeights, |
| 590 | const std::vector<T>& recurrentToForgetWeights, |
| 591 | const std::vector<T>& recurrentToCellWeights, |
| 592 | const std::vector<T>& recurrentToOutputWeights, |
| 593 | bool hasCellToInputWeights, |
| 594 | const std::vector<T>& cellToInputWeights, |
| 595 | bool hasCellToForgetWeights, |
| 596 | const std::vector<T>& cellToForgetWeights, |
| 597 | bool hasCellToOutputWeights, |
| 598 | const std::vector<T>& cellToOutputWeights, |
| 599 | bool hasInputGateBias, |
| 600 | const std::vector<float>& inputGateBias, |
| 601 | const std::vector<float>& forgetGateBias, |
| 602 | const std::vector<float>& cellBias, |
| 603 | const std::vector<float>& outputGateBias, |
| 604 | bool hasProjectionWeights, |
| 605 | const std::vector<T>& projectionWeights, |
| 606 | bool hasProjectionBias, |
| 607 | const std::vector<float>& projectionBias, |
| 608 | bool hasInputLayerNormWeights, |
| 609 | const std::vector<float>& inputLayerNormWeights, |
| 610 | bool hasForgetLayerNormWeights, |
| 611 | const std::vector<float>& forgetLayerNormWeights, |
| 612 | bool hasCellLayerNormWeights, |
| 613 | const std::vector<float>& cellLayerNormWeights, |
| 614 | bool hasOutputLayerNormWeights, |
| 615 | const std::vector<float>& outputLayerNormWeights, |
| 616 | std::vector<float>& inputValues, |
| 617 | std::vector<float>& expectedOutputValues, |
| 618 | tflite::ActivationFunctionType activationFunction, |
| 619 | float clippingThresCell, |
| 620 | float clippingThresProj, |
| 621 | bool isTimeMajor, |
| 622 | float quantScale = 0.1f) |
| 623 | { |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 624 | using namespace delegateTestInterpreter; |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 625 | |
| 626 | std::vector<char> modelBuffer = CreateUnidirectionalSequenceLstmTfLiteModel(tensorType, |
Ryan OShea | 238ecd9 | 2023-03-07 11:44:23 +0000 | [diff] [blame] | 627 | batchSize, |
| 628 | timeSize, |
| 629 | inputSize, |
| 630 | outputSize, |
| 631 | numUnits, |
| 632 | hasInputToInputWeights, |
| 633 | inputToInputWeights, |
| 634 | inputToForgetWeights, |
| 635 | inputToCellWeights, |
| 636 | inputToOutputWeights, |
| 637 | hasRecurrentToInputWeights, |
| 638 | recurrentToInputWeights, |
| 639 | recurrentToForgetWeights, |
| 640 | recurrentToCellWeights, |
| 641 | recurrentToOutputWeights, |
| 642 | hasCellToInputWeights, |
| 643 | cellToInputWeights, |
| 644 | hasCellToForgetWeights, |
| 645 | cellToForgetWeights, |
| 646 | hasCellToOutputWeights, |
| 647 | cellToOutputWeights, |
| 648 | hasInputGateBias, |
| 649 | inputGateBias, |
| 650 | forgetGateBias, |
| 651 | cellBias, |
| 652 | outputGateBias, |
| 653 | hasProjectionWeights, |
| 654 | projectionWeights, |
| 655 | hasProjectionBias, |
| 656 | projectionBias, |
| 657 | hasInputLayerNormWeights, |
| 658 | inputLayerNormWeights, |
| 659 | hasForgetLayerNormWeights, |
| 660 | forgetLayerNormWeights, |
| 661 | hasCellLayerNormWeights, |
| 662 | cellLayerNormWeights, |
| 663 | hasOutputLayerNormWeights, |
| 664 | outputLayerNormWeights, |
| 665 | activationFunction, |
| 666 | clippingThresCell, |
| 667 | clippingThresProj, |
| 668 | isTimeMajor, |
| 669 | quantScale); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 670 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 671 | std::vector<int32_t> outputShape; |
| 672 | if (isTimeMajor) |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 673 | { |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 674 | outputShape = {timeSize, batchSize, outputSize}; |
| 675 | } |
| 676 | else |
| 677 | { |
| 678 | outputShape = {batchSize, timeSize, outputSize}; |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 679 | } |
| 680 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 681 | // Setup interpreter with just TFLite Runtime. |
| 682 | auto tfLiteInterpreter = DelegateTestInterpreter(modelBuffer); |
| 683 | CHECK(tfLiteInterpreter.AllocateTensors() == kTfLiteOk); |
| 684 | CHECK(tfLiteInterpreter.FillInputTensor<float>(inputValues, 0) == kTfLiteOk); |
| 685 | CHECK(tfLiteInterpreter.Invoke() == kTfLiteOk); |
| 686 | std::vector<float> tfLiteOutputValues = tfLiteInterpreter.GetOutputResult<float>(0); |
| 687 | std::vector<int32_t> tfLiteOutputShape = tfLiteInterpreter.GetOutputShape(0); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 688 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 689 | // Setup interpreter with Arm NN Delegate applied. |
| 690 | auto armnnInterpreter = DelegateTestInterpreter(modelBuffer, backends); |
| 691 | CHECK(armnnInterpreter.AllocateTensors() == kTfLiteOk); |
| 692 | CHECK(armnnInterpreter.FillInputTensor<float>(inputValues, 0) == kTfLiteOk); |
| 693 | CHECK(armnnInterpreter.Invoke() == kTfLiteOk); |
| 694 | std::vector<float> armnnOutputValues = armnnInterpreter.GetOutputResult<float>(0); |
| 695 | std::vector<int32_t> armnnOutputShape = armnnInterpreter.GetOutputShape(0); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 696 | |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 697 | armnnDelegate::CompareOutputShape(tfLiteOutputShape, armnnOutputShape, outputShape); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 698 | |
| 699 | if (tensorType == ::tflite::TensorType_INT8) |
| 700 | { |
| 701 | // Allow 2% tolerance for Quantized weights |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 702 | armnnDelegate::CompareData(expectedOutputValues.data(), armnnOutputValues.data(), |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 703 | expectedOutputValues.size(), 2); |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 704 | armnnDelegate::CompareData(expectedOutputValues.data(), tfLiteOutputValues.data(), |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 705 | expectedOutputValues.size(), 2); |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 706 | armnnDelegate::CompareData(tfLiteOutputValues.data(), armnnOutputValues.data(), |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 707 | expectedOutputValues.size(), 2); |
| 708 | } |
| 709 | else |
| 710 | { |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 711 | armnnDelegate::CompareOutputData<float>(tfLiteOutputValues, armnnOutputValues, expectedOutputValues); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 712 | } |
Matthew Sloyan | ebe392d | 2023-03-30 10:12:08 +0100 | [diff] [blame] | 713 | |
| 714 | tfLiteInterpreter.Cleanup(); |
| 715 | armnnInterpreter.Cleanup(); |
Narumol Prangnawarat | 7684b18 | 2021-08-12 14:48:15 +0100 | [diff] [blame] | 716 | } |
| 717 | |
| 718 | } // anonymous namespace |