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 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6 | #include "RefLayerSupport.hpp" |
David Beck | 3e9e115 | 2018-10-17 14:17:50 +0100 | [diff] [blame] | 7 | #include "RefBackendId.hpp" |
David Beck | 3cc9a62 | 2018-10-12 10:38:31 +0100 | [diff] [blame] | 8 | |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 9 | #include <InternalTypes.hpp> |
| 10 | #include <LayerSupportCommon.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 11 | #include <armnn/Types.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 12 | |
David Beck | 111b5d9 | 2018-11-12 14:59:37 +0000 | [diff] [blame] | 13 | #include <backendsCommon/BackendRegistry.hpp> |
David Beck | 3e9e115 | 2018-10-17 14:17:50 +0100 | [diff] [blame] | 14 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 15 | #include <boost/core/ignore_unused.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 16 | |
| 17 | using namespace boost; |
| 18 | |
| 19 | namespace armnn |
| 20 | { |
| 21 | |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 22 | namespace |
| 23 | { |
| 24 | |
| 25 | template<typename Float32Func, typename Uint8Func, typename ... Params> |
| 26 | bool IsSupportedForDataTypeRef(Optional<std::string&> reasonIfUnsupported, |
| 27 | DataType dataType, |
| 28 | Float32Func floatFuncPtr, |
| 29 | Uint8Func uint8FuncPtr, |
| 30 | Params&&... params) |
| 31 | { |
| 32 | return IsSupportedForDataTypeGeneric(reasonIfUnsupported, |
| 33 | dataType, |
| 34 | &FalseFunc<Params...>, |
| 35 | floatFuncPtr, |
| 36 | uint8FuncPtr, |
| 37 | std::forward<Params>(params)...); |
| 38 | } |
| 39 | |
| 40 | } // anonymous namespace |
| 41 | |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 42 | bool RefLayerSupport::IsActivationSupported(const TensorInfo& input, |
| 43 | const TensorInfo& output, |
| 44 | const ActivationDescriptor& descriptor, |
| 45 | Optional<std::string&> reasonIfUnsupported) const |
| 46 | { |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 47 | ignore_unused(output); |
| 48 | ignore_unused(descriptor); |
| 49 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 50 | input.GetDataType(), |
| 51 | &TrueFunc<>, |
| 52 | &TrueFunc<>); |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 53 | } |
| 54 | |
| 55 | bool RefLayerSupport::IsAdditionSupported(const TensorInfo& input0, |
| 56 | const TensorInfo& input1, |
| 57 | const TensorInfo& output, |
| 58 | Optional<std::string&> reasonIfUnsupported) const |
| 59 | { |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 60 | ignore_unused(input1); |
| 61 | ignore_unused(output); |
| 62 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 63 | input0.GetDataType(), |
| 64 | &TrueFunc<>, |
| 65 | &TrueFunc<>); |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 66 | } |
| 67 | |
| 68 | bool RefLayerSupport::IsBatchNormalizationSupported(const TensorInfo& input, |
| 69 | const TensorInfo& output, |
| 70 | const TensorInfo& mean, |
| 71 | const TensorInfo& var, |
| 72 | const TensorInfo& beta, |
| 73 | const TensorInfo& gamma, |
| 74 | const BatchNormalizationDescriptor& descriptor, |
| 75 | Optional<std::string&> reasonIfUnsupported) const |
| 76 | { |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 77 | ignore_unused(output); |
| 78 | ignore_unused(mean); |
| 79 | ignore_unused(var); |
| 80 | ignore_unused(beta); |
| 81 | ignore_unused(gamma); |
| 82 | ignore_unused(descriptor); |
| 83 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 84 | input.GetDataType(), |
| 85 | &TrueFunc<>, |
| 86 | &TrueFunc<>); |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 87 | } |
| 88 | |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 89 | bool RefLayerSupport::IsBatchToSpaceNdSupported(const TensorInfo& input, |
| 90 | const TensorInfo& output, |
| 91 | const BatchToSpaceNdDescriptor& descriptor, |
| 92 | Optional<std::string&> reasonIfUnsupported) const |
| 93 | { |
| 94 | ignore_unused(descriptor); |
| 95 | return (IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 96 | input.GetDataType(), |
| 97 | &TrueFunc<>, |
| 98 | &TrueFunc<>) && |
| 99 | IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 100 | output.GetDataType(), |
| 101 | &TrueFunc<>, |
| 102 | &TrueFunc<>)); |
| 103 | } |
| 104 | |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 105 | bool RefLayerSupport::IsConstantSupported(const TensorInfo& output, |
| 106 | Optional<std::string&> reasonIfUnsupported) const |
| 107 | { |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 108 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 109 | output.GetDataType(), |
| 110 | &TrueFunc<>, |
| 111 | &TrueFunc<>); |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 112 | } |
| 113 | |
| 114 | bool RefLayerSupport::IsConvertFp16ToFp32Supported(const TensorInfo& input, |
| 115 | const TensorInfo& output, |
| 116 | Optional<std::string&> reasonIfUnsupported) const |
| 117 | { |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 118 | return (IsSupportedForDataTypeGeneric(reasonIfUnsupported, |
| 119 | input.GetDataType(), |
| 120 | &TrueFunc<>, |
| 121 | &FalseInputFuncF32<>, |
| 122 | &FalseFuncU8<>) && |
| 123 | IsSupportedForDataTypeGeneric(reasonIfUnsupported, |
| 124 | output.GetDataType(), |
| 125 | &FalseOutputFuncF16<>, |
| 126 | &TrueFunc<>, |
| 127 | &FalseFuncU8<>)); |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 128 | } |
| 129 | |
| 130 | bool RefLayerSupport::IsConvertFp32ToFp16Supported(const TensorInfo& input, |
| 131 | const TensorInfo& output, |
| 132 | Optional<std::string&> reasonIfUnsupported) const |
| 133 | { |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 134 | return (IsSupportedForDataTypeGeneric(reasonIfUnsupported, |
| 135 | input.GetDataType(), |
| 136 | &FalseInputFuncF16<>, |
| 137 | &TrueFunc<>, |
| 138 | &FalseFuncU8<>) && |
| 139 | IsSupportedForDataTypeGeneric(reasonIfUnsupported, |
| 140 | output.GetDataType(), |
| 141 | &TrueFunc<>, |
| 142 | &FalseOutputFuncF32<>, |
| 143 | &FalseFuncU8<>)); |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 144 | } |
| 145 | |
| 146 | bool RefLayerSupport::IsConvolution2dSupported(const TensorInfo& input, |
| 147 | const TensorInfo& output, |
| 148 | const Convolution2dDescriptor& descriptor, |
| 149 | const TensorInfo& weights, |
| 150 | const Optional<TensorInfo>& biases, |
| 151 | Optional<std::string&> reasonIfUnsupported) const |
| 152 | { |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 153 | ignore_unused(output); |
| 154 | ignore_unused(descriptor); |
| 155 | ignore_unused(weights); |
| 156 | ignore_unused(biases); |
| 157 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 158 | input.GetDataType(), |
| 159 | &TrueFunc<>, |
| 160 | &TrueFunc<>); |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 161 | } |
| 162 | |
| 163 | bool RefLayerSupport::IsDepthwiseConvolutionSupported(const TensorInfo& input, |
| 164 | const TensorInfo& output, |
| 165 | const DepthwiseConvolution2dDescriptor& descriptor, |
| 166 | const TensorInfo& weights, |
| 167 | const Optional<TensorInfo>& biases, |
| 168 | Optional<std::string&> reasonIfUnsupported) const |
| 169 | { |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 170 | ignore_unused(output); |
| 171 | ignore_unused(descriptor); |
| 172 | ignore_unused(weights); |
| 173 | ignore_unused(biases); |
| 174 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 175 | input.GetDataType(), |
| 176 | &TrueFunc<>, |
| 177 | &TrueFunc<>); |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 178 | } |
| 179 | |
| 180 | bool RefLayerSupport::IsDivisionSupported(const TensorInfo& input0, |
| 181 | const TensorInfo& input1, |
| 182 | const TensorInfo& output, |
| 183 | Optional<std::string&> reasonIfUnsupported) const |
| 184 | { |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 185 | ignore_unused(input1); |
| 186 | ignore_unused(output); |
| 187 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 188 | input0.GetDataType(), |
| 189 | &TrueFunc<>, |
| 190 | &TrueFunc<>); |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 191 | } |
| 192 | |
| 193 | bool RefLayerSupport::IsFakeQuantizationSupported(const TensorInfo& input, |
| 194 | const FakeQuantizationDescriptor& descriptor, |
| 195 | Optional<std::string&> reasonIfUnsupported) const |
| 196 | { |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 197 | ignore_unused(descriptor); |
| 198 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 199 | input.GetDataType(), |
| 200 | &TrueFunc<>, |
| 201 | &FalseFuncU8<>); |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 202 | } |
| 203 | |
| 204 | bool RefLayerSupport::IsFloorSupported(const TensorInfo& input, |
| 205 | const TensorInfo& output, |
| 206 | Optional<std::string&> reasonIfUnsupported) const |
| 207 | { |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 208 | ignore_unused(output); |
| 209 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 210 | input.GetDataType(), |
| 211 | &TrueFunc<>, |
| 212 | &FalseFuncU8<>); |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 213 | } |
| 214 | |
| 215 | bool RefLayerSupport::IsFullyConnectedSupported(const TensorInfo& input, |
| 216 | const TensorInfo& output, |
| 217 | const TensorInfo& weights, |
| 218 | const TensorInfo& biases, |
| 219 | const FullyConnectedDescriptor& descriptor, |
| 220 | Optional<std::string&> reasonIfUnsupported) const |
| 221 | { |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 222 | ignore_unused(output); |
| 223 | ignore_unused(weights); |
| 224 | ignore_unused(biases); |
| 225 | ignore_unused(descriptor); |
| 226 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 227 | input.GetDataType(), |
| 228 | &TrueFunc<>, |
| 229 | &TrueFunc<>); |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 230 | } |
| 231 | |
| 232 | bool RefLayerSupport::IsInputSupported(const TensorInfo& input, |
| 233 | Optional<std::string&> reasonIfUnsupported) const |
| 234 | { |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 235 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 236 | input.GetDataType(), |
| 237 | &TrueFunc<>, |
| 238 | &TrueFunc<>); |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 239 | } |
| 240 | |
| 241 | bool RefLayerSupport::IsL2NormalizationSupported(const TensorInfo& input, |
| 242 | const TensorInfo& output, |
| 243 | const L2NormalizationDescriptor& descriptor, |
| 244 | Optional<std::string&> reasonIfUnsupported) const |
| 245 | { |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 246 | ignore_unused(output); |
| 247 | ignore_unused(descriptor); |
| 248 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 249 | input.GetDataType(), |
| 250 | &TrueFunc<>, |
| 251 | &FalseFuncU8<>); |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 252 | } |
| 253 | |
| 254 | bool RefLayerSupport::IsLstmSupported(const TensorInfo& input, |
| 255 | const TensorInfo& outputStateIn, |
| 256 | const TensorInfo& cellStateIn, |
| 257 | const TensorInfo& scratchBuffer, |
| 258 | const TensorInfo& outputStateOut, |
| 259 | const TensorInfo& cellStateOut, |
| 260 | const TensorInfo& output, |
| 261 | const LstmDescriptor& descriptor, |
| 262 | const TensorInfo& inputToForgetWeights, |
| 263 | const TensorInfo& inputToCellWeights, |
| 264 | const TensorInfo& inputToOutputWeights, |
| 265 | const TensorInfo& recurrentToForgetWeights, |
| 266 | const TensorInfo& recurrentToCellWeights, |
| 267 | const TensorInfo& recurrentToOutputWeights, |
| 268 | const TensorInfo& forgetGateBias, |
| 269 | const TensorInfo& cellBias, |
| 270 | const TensorInfo& outputGateBias, |
| 271 | const TensorInfo* inputToInputWeights, |
| 272 | const TensorInfo* recurrentToInputWeights, |
| 273 | const TensorInfo* cellToInputWeights, |
| 274 | const TensorInfo* inputGateBias, |
| 275 | const TensorInfo* projectionWeights, |
| 276 | const TensorInfo* projectionBias, |
| 277 | const TensorInfo* cellToForgetWeights, |
| 278 | const TensorInfo* cellToOutputWeights, |
| 279 | Optional<std::string&> reasonIfUnsupported) const |
| 280 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 281 | ignore_unused(outputStateIn); |
| 282 | ignore_unused(cellStateIn); |
| 283 | ignore_unused(scratchBuffer); |
| 284 | ignore_unused(outputStateOut); |
| 285 | ignore_unused(cellStateOut); |
| 286 | ignore_unused(output); |
| 287 | ignore_unused(descriptor); |
| 288 | ignore_unused(inputToForgetWeights); |
| 289 | ignore_unused(inputToCellWeights); |
| 290 | ignore_unused(inputToOutputWeights); |
| 291 | ignore_unused(recurrentToForgetWeights); |
| 292 | ignore_unused(recurrentToCellWeights); |
| 293 | ignore_unused(recurrentToOutputWeights); |
| 294 | ignore_unused(forgetGateBias); |
| 295 | ignore_unused(cellBias); |
| 296 | ignore_unused(outputGateBias); |
| 297 | ignore_unused(inputToInputWeights); |
| 298 | ignore_unused(recurrentToInputWeights); |
| 299 | ignore_unused(cellToInputWeights); |
| 300 | ignore_unused(inputGateBias); |
| 301 | ignore_unused(projectionWeights); |
| 302 | ignore_unused(projectionBias); |
| 303 | ignore_unused(cellToForgetWeights); |
| 304 | ignore_unused(cellToOutputWeights); |
Matteo Martincigh | a65b7ae | 2018-11-14 12:39:55 +0000 | [diff] [blame] | 305 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 306 | input.GetDataType(), |
| 307 | &TrueFunc<>, |
| 308 | &FalseFuncU8<>); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 309 | } |
| 310 | |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 311 | bool RefLayerSupport::IsMeanSupported(const TensorInfo& input, |
| 312 | const TensorInfo& output, |
| 313 | const MeanDescriptor& descriptor, |
| 314 | Optional<std::string&> reasonIfUnsupported) const |
narpra01 | 32b9046 | 2018-09-13 11:07:48 +0100 | [diff] [blame] | 315 | { |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 316 | ignore_unused(output); |
| 317 | ignore_unused(descriptor); |
| 318 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 319 | input.GetDataType(), |
| 320 | &TrueFunc<>, |
| 321 | &TrueFunc<>); |
narpra01 | 32b9046 | 2018-09-13 11:07:48 +0100 | [diff] [blame] | 322 | } |
| 323 | |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 324 | bool RefLayerSupport::IsMergerSupported(const std::vector<const TensorInfo*> inputs, |
Nikhil Raj | 8599a41 | 2018-11-19 14:51:07 +0000 | [diff] [blame] | 325 | const TensorInfo& output, |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 326 | const OriginsDescriptor& descriptor, |
| 327 | Optional<std::string&> reasonIfUnsupported) const |
| 328 | { |
| 329 | ignore_unused(descriptor); |
Nikhil Raj | 8599a41 | 2018-11-19 14:51:07 +0000 | [diff] [blame] | 330 | ignore_unused(output); |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 331 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 332 | inputs[0]->GetDataType(), |
| 333 | &TrueFunc<>, |
| 334 | &TrueFunc<>); |
| 335 | } |
| 336 | |
| 337 | bool RefLayerSupport::IsMultiplicationSupported(const TensorInfo& input0, |
| 338 | const TensorInfo& input1, |
| 339 | const TensorInfo& output, |
| 340 | Optional<std::string&> reasonIfUnsupported) const |
| 341 | { |
| 342 | ignore_unused(input1); |
| 343 | ignore_unused(output); |
| 344 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 345 | input0.GetDataType(), |
| 346 | &TrueFunc<>, |
| 347 | &TrueFunc<>); |
| 348 | } |
| 349 | |
| 350 | bool RefLayerSupport::IsNormalizationSupported(const TensorInfo& input, |
| 351 | const TensorInfo& output, |
| 352 | const NormalizationDescriptor& descriptor, |
| 353 | Optional<std::string&> reasonIfUnsupported) const |
Nina Drozd | 661dfa7 | 2018-10-02 11:14:17 +0100 | [diff] [blame] | 354 | { |
| 355 | ignore_unused(output); |
| 356 | ignore_unused(descriptor); |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 357 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 358 | input.GetDataType(), |
| 359 | &TrueFunc<>, |
| 360 | &FalseFuncU8<>); |
| 361 | } |
| 362 | |
| 363 | bool RefLayerSupport::IsOutputSupported(const TensorInfo& output, |
| 364 | Optional<std::string&> reasonIfUnsupported) const |
| 365 | { |
| 366 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 367 | output.GetDataType(), |
| 368 | &TrueFunc<>, |
| 369 | &TrueFunc<>); |
| 370 | } |
| 371 | |
| 372 | bool RefLayerSupport::IsPadSupported(const TensorInfo& input, |
| 373 | const TensorInfo& output, |
| 374 | const PadDescriptor& descriptor, |
| 375 | Optional<std::string&> reasonIfUnsupported) const |
| 376 | { |
| 377 | ignore_unused(input); |
| 378 | ignore_unused(output); |
| 379 | ignore_unused(descriptor); |
| 380 | ignore_unused(reasonIfUnsupported); |
Nina Drozd | 661dfa7 | 2018-10-02 11:14:17 +0100 | [diff] [blame] | 381 | return false; |
| 382 | } |
| 383 | |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 384 | bool RefLayerSupport::IsPermuteSupported(const TensorInfo& input, |
| 385 | const TensorInfo& output, |
| 386 | const PermuteDescriptor& descriptor, |
| 387 | Optional<std::string&> reasonIfUnsupported) const |
| 388 | { |
| 389 | ignore_unused(output); |
| 390 | ignore_unused(descriptor); |
| 391 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 392 | input.GetDataType(), |
| 393 | &TrueFunc<>, |
| 394 | &TrueFunc<>); |
| 395 | } |
| 396 | |
| 397 | bool RefLayerSupport::IsPooling2dSupported(const TensorInfo& input, |
| 398 | const TensorInfo& output, |
| 399 | const Pooling2dDescriptor& descriptor, |
| 400 | Optional<std::string&> reasonIfUnsupported) const |
| 401 | { |
| 402 | ignore_unused(output); |
| 403 | ignore_unused(descriptor); |
| 404 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 405 | input.GetDataType(), |
| 406 | &TrueFunc<>, |
| 407 | &TrueFunc<>); |
| 408 | } |
| 409 | |
| 410 | bool RefLayerSupport::IsReshapeSupported(const TensorInfo& input, |
| 411 | Optional<std::string&> reasonIfUnsupported) const |
| 412 | { |
| 413 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 414 | input.GetDataType(), |
| 415 | &TrueFunc<>, |
| 416 | &TrueFunc<>); |
| 417 | } |
| 418 | |
| 419 | bool RefLayerSupport::IsResizeBilinearSupported(const TensorInfo& input, |
| 420 | Optional<std::string&> reasonIfUnsupported) const |
| 421 | { |
| 422 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 423 | input.GetDataType(), |
| 424 | &TrueFunc<>, |
| 425 | &TrueFunc<>); |
| 426 | } |
| 427 | |
| 428 | bool RefLayerSupport::IsSoftmaxSupported(const TensorInfo& input, |
| 429 | const TensorInfo& output, |
| 430 | const SoftmaxDescriptor& descriptor, |
| 431 | Optional<std::string&> reasonIfUnsupported) const |
| 432 | { |
| 433 | ignore_unused(output); |
| 434 | ignore_unused(descriptor); |
| 435 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 436 | input.GetDataType(), |
| 437 | &TrueFunc<>, |
| 438 | &TrueFunc<>); |
| 439 | } |
| 440 | |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 441 | bool RefLayerSupport::IsSpaceToBatchNdSupported(const TensorInfo& input, |
| 442 | const TensorInfo& output, |
| 443 | const SpaceToBatchNdDescriptor& descriptor, |
| 444 | Optional<std::string&> reasonIfUnsupported) const |
| 445 | { |
| 446 | ignore_unused(output); |
| 447 | ignore_unused(descriptor); |
| 448 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 449 | input.GetDataType(), |
| 450 | &TrueFunc<>, |
| 451 | &TrueFunc<>); |
| 452 | } |
| 453 | |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 454 | bool RefLayerSupport::IsSplitterSupported(const TensorInfo& input, |
| 455 | const ViewsDescriptor& descriptor, |
| 456 | Optional<std::string&> reasonIfUnsupported) const |
| 457 | { |
| 458 | ignore_unused(descriptor); |
| 459 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 460 | input.GetDataType(), |
| 461 | &TrueFunc<>, |
| 462 | &TrueFunc<>); |
| 463 | } |
| 464 | |
| 465 | bool RefLayerSupport::IsSubtractionSupported(const TensorInfo& input0, |
| 466 | const TensorInfo& input1, |
| 467 | const TensorInfo& output, |
| 468 | Optional<std::string&> reasonIfUnsupported) const |
| 469 | { |
| 470 | ignore_unused(input1); |
| 471 | ignore_unused(output); |
| 472 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 473 | input0.GetDataType(), |
| 474 | &TrueFunc<>, |
| 475 | &TrueFunc<>); |
| 476 | } |
| 477 | |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 478 | } // namespace armnn |