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, |
narpra01 | db2b160 | 2019-01-23 15:23:11 +0000 | [diff] [blame] | 37 | &FalseFunc<Params...>, |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 38 | &FalseFunc<Params...>, |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 39 | std::forward<Params>(params)...); |
| 40 | } |
| 41 | |
| 42 | } // anonymous namespace |
| 43 | |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 44 | bool RefLayerSupport::IsActivationSupported(const TensorInfo& input, |
| 45 | const TensorInfo& output, |
| 46 | const ActivationDescriptor& descriptor, |
| 47 | Optional<std::string&> reasonIfUnsupported) const |
| 48 | { |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 49 | ignore_unused(output); |
| 50 | ignore_unused(descriptor); |
| 51 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 52 | input.GetDataType(), |
| 53 | &TrueFunc<>, |
| 54 | &TrueFunc<>); |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 55 | } |
| 56 | |
| 57 | bool RefLayerSupport::IsAdditionSupported(const TensorInfo& input0, |
| 58 | const TensorInfo& input1, |
| 59 | const TensorInfo& output, |
| 60 | Optional<std::string&> reasonIfUnsupported) const |
| 61 | { |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 62 | ignore_unused(input1); |
| 63 | ignore_unused(output); |
| 64 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 65 | input0.GetDataType(), |
| 66 | &TrueFunc<>, |
| 67 | &TrueFunc<>); |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 68 | } |
| 69 | |
| 70 | bool RefLayerSupport::IsBatchNormalizationSupported(const TensorInfo& input, |
| 71 | const TensorInfo& output, |
| 72 | const TensorInfo& mean, |
| 73 | const TensorInfo& var, |
| 74 | const TensorInfo& beta, |
| 75 | const TensorInfo& gamma, |
| 76 | const BatchNormalizationDescriptor& descriptor, |
| 77 | Optional<std::string&> reasonIfUnsupported) const |
| 78 | { |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 79 | ignore_unused(output); |
| 80 | ignore_unused(mean); |
| 81 | ignore_unused(var); |
| 82 | ignore_unused(beta); |
| 83 | ignore_unused(gamma); |
| 84 | ignore_unused(descriptor); |
| 85 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 86 | input.GetDataType(), |
| 87 | &TrueFunc<>, |
| 88 | &TrueFunc<>); |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 89 | } |
| 90 | |
Éanna Ó Catháin | 4e1e136 | 2018-11-12 11:36:34 +0000 | [diff] [blame] | 91 | bool RefLayerSupport::IsBatchToSpaceNdSupported(const TensorInfo& input, |
| 92 | const TensorInfo& output, |
| 93 | const BatchToSpaceNdDescriptor& descriptor, |
| 94 | Optional<std::string&> reasonIfUnsupported) const |
| 95 | { |
| 96 | ignore_unused(descriptor); |
| 97 | return (IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 98 | input.GetDataType(), |
| 99 | &TrueFunc<>, |
| 100 | &TrueFunc<>) && |
| 101 | IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 102 | output.GetDataType(), |
| 103 | &TrueFunc<>, |
| 104 | &TrueFunc<>)); |
| 105 | } |
| 106 | |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 107 | bool RefLayerSupport::IsConstantSupported(const TensorInfo& output, |
| 108 | Optional<std::string&> reasonIfUnsupported) const |
| 109 | { |
narpra01 | db2b160 | 2019-01-23 15:23:11 +0000 | [diff] [blame] | 110 | return IsSupportedForDataTypeGeneric(reasonIfUnsupported, |
| 111 | output.GetDataType(), |
| 112 | &FalseFunc<>, |
| 113 | &TrueFunc<>, |
| 114 | &TrueFunc<>, |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 115 | &TrueFunc<>, |
| 116 | &FalseFunc<>); |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 117 | } |
| 118 | |
| 119 | bool RefLayerSupport::IsConvertFp16ToFp32Supported(const TensorInfo& input, |
| 120 | const TensorInfo& output, |
| 121 | Optional<std::string&> reasonIfUnsupported) const |
| 122 | { |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 123 | return (IsSupportedForDataTypeGeneric(reasonIfUnsupported, |
| 124 | input.GetDataType(), |
| 125 | &TrueFunc<>, |
| 126 | &FalseInputFuncF32<>, |
narpra01 | db2b160 | 2019-01-23 15:23:11 +0000 | [diff] [blame] | 127 | &FalseFuncU8<>, |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 128 | &FalseFuncI32<>, |
| 129 | &FalseFuncU8<>) && |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 130 | IsSupportedForDataTypeGeneric(reasonIfUnsupported, |
| 131 | output.GetDataType(), |
| 132 | &FalseOutputFuncF16<>, |
| 133 | &TrueFunc<>, |
narpra01 | db2b160 | 2019-01-23 15:23:11 +0000 | [diff] [blame] | 134 | &FalseFuncU8<>, |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 135 | &FalseFuncI32<>, |
| 136 | &FalseFuncU8<>)); |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 137 | } |
| 138 | |
| 139 | bool RefLayerSupport::IsConvertFp32ToFp16Supported(const TensorInfo& input, |
| 140 | const TensorInfo& output, |
| 141 | Optional<std::string&> reasonIfUnsupported) const |
| 142 | { |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 143 | return (IsSupportedForDataTypeGeneric(reasonIfUnsupported, |
| 144 | input.GetDataType(), |
| 145 | &FalseInputFuncF16<>, |
| 146 | &TrueFunc<>, |
narpra01 | db2b160 | 2019-01-23 15:23:11 +0000 | [diff] [blame] | 147 | &FalseFuncU8<>, |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 148 | &FalseFuncI32<>, |
| 149 | &FalseFuncU8<>) && |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 150 | IsSupportedForDataTypeGeneric(reasonIfUnsupported, |
| 151 | output.GetDataType(), |
| 152 | &TrueFunc<>, |
| 153 | &FalseOutputFuncF32<>, |
narpra01 | db2b160 | 2019-01-23 15:23:11 +0000 | [diff] [blame] | 154 | &FalseFuncU8<>, |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 155 | &FalseFuncI32<>, |
| 156 | &FalseFuncU8<>)); |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 157 | } |
| 158 | |
| 159 | bool RefLayerSupport::IsConvolution2dSupported(const TensorInfo& input, |
| 160 | const TensorInfo& output, |
| 161 | const Convolution2dDescriptor& descriptor, |
| 162 | const TensorInfo& weights, |
| 163 | const Optional<TensorInfo>& biases, |
| 164 | Optional<std::string&> reasonIfUnsupported) const |
| 165 | { |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 166 | ignore_unused(output); |
| 167 | ignore_unused(descriptor); |
| 168 | ignore_unused(weights); |
| 169 | ignore_unused(biases); |
| 170 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 171 | input.GetDataType(), |
| 172 | &TrueFunc<>, |
| 173 | &TrueFunc<>); |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 174 | } |
| 175 | |
Nattapat Chaimanowong | cfdcadf | 2018-12-06 11:54:33 +0000 | [diff] [blame] | 176 | bool RefLayerSupport::IsDebugSupported(const TensorInfo& input, |
| 177 | const TensorInfo& output, |
| 178 | const DebugDescriptor& descriptor, |
| 179 | Optional<std::string&> reasonIfUnsupported) const |
| 180 | { |
| 181 | ignore_unused(output); |
| 182 | ignore_unused(descriptor); |
| 183 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 184 | input.GetDataType(), |
| 185 | &TrueFunc<>, |
| 186 | &TrueFunc<>); |
| 187 | } |
| 188 | |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 189 | bool RefLayerSupport::IsDepthwiseConvolutionSupported(const TensorInfo& input, |
| 190 | const TensorInfo& output, |
| 191 | const DepthwiseConvolution2dDescriptor& descriptor, |
| 192 | const TensorInfo& weights, |
| 193 | const Optional<TensorInfo>& biases, |
| 194 | Optional<std::string&> reasonIfUnsupported) const |
| 195 | { |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 196 | ignore_unused(output); |
| 197 | ignore_unused(descriptor); |
| 198 | ignore_unused(weights); |
| 199 | ignore_unused(biases); |
| 200 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 201 | input.GetDataType(), |
| 202 | &TrueFunc<>, |
| 203 | &TrueFunc<>); |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 204 | } |
| 205 | |
| 206 | bool RefLayerSupport::IsDivisionSupported(const TensorInfo& input0, |
| 207 | const TensorInfo& input1, |
| 208 | const TensorInfo& output, |
| 209 | Optional<std::string&> reasonIfUnsupported) const |
| 210 | { |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 211 | ignore_unused(input1); |
| 212 | ignore_unused(output); |
| 213 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 214 | input0.GetDataType(), |
| 215 | &TrueFunc<>, |
| 216 | &TrueFunc<>); |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 217 | } |
| 218 | |
FrancisMurtagh | 30cdfca | 2018-12-18 12:57:35 +0000 | [diff] [blame] | 219 | bool RefLayerSupport::IsEqualSupported(const TensorInfo& input0, |
| 220 | const TensorInfo& input1, |
| 221 | const TensorInfo& output, |
| 222 | Optional<std::string&> reasonIfUnsupported) const |
| 223 | { |
| 224 | ignore_unused(input0); |
| 225 | ignore_unused(input1); |
| 226 | ignore_unused(output); |
| 227 | ignore_unused(reasonIfUnsupported); |
| 228 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 229 | input0.GetDataType(), |
| 230 | &TrueFunc<>, |
| 231 | &TrueFunc<>); |
| 232 | } |
| 233 | |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 234 | bool RefLayerSupport::IsFakeQuantizationSupported(const TensorInfo& input, |
| 235 | const FakeQuantizationDescriptor& descriptor, |
| 236 | Optional<std::string&> reasonIfUnsupported) const |
| 237 | { |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 238 | ignore_unused(descriptor); |
| 239 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 240 | input.GetDataType(), |
| 241 | &TrueFunc<>, |
| 242 | &FalseFuncU8<>); |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 243 | } |
| 244 | |
| 245 | bool RefLayerSupport::IsFloorSupported(const TensorInfo& input, |
| 246 | const TensorInfo& output, |
| 247 | Optional<std::string&> reasonIfUnsupported) const |
| 248 | { |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 249 | ignore_unused(output); |
| 250 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 251 | input.GetDataType(), |
| 252 | &TrueFunc<>, |
| 253 | &FalseFuncU8<>); |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 254 | } |
| 255 | |
| 256 | bool RefLayerSupport::IsFullyConnectedSupported(const TensorInfo& input, |
| 257 | const TensorInfo& output, |
| 258 | const TensorInfo& weights, |
| 259 | const TensorInfo& biases, |
| 260 | const FullyConnectedDescriptor& descriptor, |
| 261 | Optional<std::string&> reasonIfUnsupported) const |
| 262 | { |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 263 | ignore_unused(output); |
| 264 | ignore_unused(weights); |
| 265 | ignore_unused(biases); |
| 266 | ignore_unused(descriptor); |
| 267 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 268 | input.GetDataType(), |
| 269 | &TrueFunc<>, |
| 270 | &TrueFunc<>); |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 271 | } |
| 272 | |
narpra01 | 4951d84 | 2019-01-18 16:53:53 +0000 | [diff] [blame] | 273 | bool RefLayerSupport::IsGatherSupported(const armnn::TensorInfo& input0, |
| 274 | const armnn::TensorInfo& input1, |
| 275 | const armnn::TensorInfo& output, |
| 276 | armnn::Optional<std::string&> reasonIfUnsupported) const |
| 277 | { |
| 278 | ignore_unused(input1); |
| 279 | ignore_unused(output); |
| 280 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 281 | input0.GetDataType(), |
| 282 | &TrueFunc<>, |
| 283 | &TrueFunc<>); |
| 284 | } |
| 285 | |
FrancisMurtagh | 878f023 | 2018-12-19 10:56:15 +0000 | [diff] [blame] | 286 | bool RefLayerSupport::IsGreaterSupported(const TensorInfo& input0, |
| 287 | const TensorInfo& input1, |
| 288 | const TensorInfo& output, |
| 289 | Optional<std::string&> reasonIfUnsupported) const |
| 290 | { |
| 291 | ignore_unused(input0); |
| 292 | ignore_unused(input1); |
| 293 | ignore_unused(output); |
| 294 | ignore_unused(reasonIfUnsupported); |
| 295 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 296 | input0.GetDataType(), |
| 297 | &TrueFunc<>, |
| 298 | &TrueFunc<>); |
| 299 | } |
| 300 | |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 301 | bool RefLayerSupport::IsInputSupported(const TensorInfo& input, |
| 302 | Optional<std::string&> reasonIfUnsupported) const |
| 303 | { |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 304 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 305 | input.GetDataType(), |
| 306 | &TrueFunc<>, |
| 307 | &TrueFunc<>); |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 308 | } |
| 309 | |
| 310 | bool RefLayerSupport::IsL2NormalizationSupported(const TensorInfo& input, |
| 311 | const TensorInfo& output, |
| 312 | const L2NormalizationDescriptor& descriptor, |
| 313 | Optional<std::string&> reasonIfUnsupported) const |
| 314 | { |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 315 | ignore_unused(output); |
| 316 | ignore_unused(descriptor); |
| 317 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 318 | input.GetDataType(), |
| 319 | &TrueFunc<>, |
| 320 | &FalseFuncU8<>); |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 321 | } |
| 322 | |
| 323 | bool RefLayerSupport::IsLstmSupported(const TensorInfo& input, |
| 324 | const TensorInfo& outputStateIn, |
| 325 | const TensorInfo& cellStateIn, |
| 326 | const TensorInfo& scratchBuffer, |
| 327 | const TensorInfo& outputStateOut, |
| 328 | const TensorInfo& cellStateOut, |
| 329 | const TensorInfo& output, |
| 330 | const LstmDescriptor& descriptor, |
| 331 | const TensorInfo& inputToForgetWeights, |
| 332 | const TensorInfo& inputToCellWeights, |
| 333 | const TensorInfo& inputToOutputWeights, |
| 334 | const TensorInfo& recurrentToForgetWeights, |
| 335 | const TensorInfo& recurrentToCellWeights, |
| 336 | const TensorInfo& recurrentToOutputWeights, |
| 337 | const TensorInfo& forgetGateBias, |
| 338 | const TensorInfo& cellBias, |
| 339 | const TensorInfo& outputGateBias, |
| 340 | const TensorInfo* inputToInputWeights, |
| 341 | const TensorInfo* recurrentToInputWeights, |
| 342 | const TensorInfo* cellToInputWeights, |
| 343 | const TensorInfo* inputGateBias, |
| 344 | const TensorInfo* projectionWeights, |
| 345 | const TensorInfo* projectionBias, |
| 346 | const TensorInfo* cellToForgetWeights, |
| 347 | const TensorInfo* cellToOutputWeights, |
| 348 | Optional<std::string&> reasonIfUnsupported) const |
| 349 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 350 | ignore_unused(outputStateIn); |
| 351 | ignore_unused(cellStateIn); |
| 352 | ignore_unused(scratchBuffer); |
| 353 | ignore_unused(outputStateOut); |
| 354 | ignore_unused(cellStateOut); |
| 355 | ignore_unused(output); |
| 356 | ignore_unused(descriptor); |
| 357 | ignore_unused(inputToForgetWeights); |
| 358 | ignore_unused(inputToCellWeights); |
| 359 | ignore_unused(inputToOutputWeights); |
| 360 | ignore_unused(recurrentToForgetWeights); |
| 361 | ignore_unused(recurrentToCellWeights); |
| 362 | ignore_unused(recurrentToOutputWeights); |
| 363 | ignore_unused(forgetGateBias); |
| 364 | ignore_unused(cellBias); |
| 365 | ignore_unused(outputGateBias); |
| 366 | ignore_unused(inputToInputWeights); |
| 367 | ignore_unused(recurrentToInputWeights); |
| 368 | ignore_unused(cellToInputWeights); |
| 369 | ignore_unused(inputGateBias); |
| 370 | ignore_unused(projectionWeights); |
| 371 | ignore_unused(projectionBias); |
| 372 | ignore_unused(cellToForgetWeights); |
| 373 | ignore_unused(cellToOutputWeights); |
Matteo Martincigh | a65b7ae | 2018-11-14 12:39:55 +0000 | [diff] [blame] | 374 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 375 | input.GetDataType(), |
| 376 | &TrueFunc<>, |
| 377 | &FalseFuncU8<>); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 378 | } |
| 379 | |
saoste01 | 2df12b3 | 2018-11-28 16:57:20 +0000 | [diff] [blame] | 380 | bool RefLayerSupport::IsMaximumSupported(const TensorInfo& input0, |
| 381 | const TensorInfo& input1, |
| 382 | const TensorInfo& output, |
| 383 | Optional<std::string&> reasonIfUnsupported) const |
| 384 | { |
| 385 | ignore_unused(input1); |
| 386 | ignore_unused(output); |
| 387 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 388 | input0.GetDataType(), |
| 389 | &TrueFunc<>, |
| 390 | &TrueFunc<>); |
| 391 | } |
| 392 | |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 393 | bool RefLayerSupport::IsMeanSupported(const TensorInfo& input, |
| 394 | const TensorInfo& output, |
| 395 | const MeanDescriptor& descriptor, |
| 396 | Optional<std::string&> reasonIfUnsupported) const |
narpra01 | 32b9046 | 2018-09-13 11:07:48 +0100 | [diff] [blame] | 397 | { |
narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 398 | ignore_unused(output); |
| 399 | ignore_unused(descriptor); |
| 400 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 401 | input.GetDataType(), |
| 402 | &TrueFunc<>, |
| 403 | &TrueFunc<>); |
narpra01 | 32b9046 | 2018-09-13 11:07:48 +0100 | [diff] [blame] | 404 | } |
| 405 | |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 406 | bool RefLayerSupport::IsMergerSupported(const std::vector<const TensorInfo*> inputs, |
Nikhil Raj | 8599a41 | 2018-11-19 14:51:07 +0000 | [diff] [blame] | 407 | const TensorInfo& output, |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 408 | const OriginsDescriptor& descriptor, |
| 409 | Optional<std::string&> reasonIfUnsupported) const |
| 410 | { |
| 411 | ignore_unused(descriptor); |
Nikhil Raj | 8599a41 | 2018-11-19 14:51:07 +0000 | [diff] [blame] | 412 | ignore_unused(output); |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 413 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 414 | inputs[0]->GetDataType(), |
| 415 | &TrueFunc<>, |
| 416 | &TrueFunc<>); |
| 417 | } |
| 418 | |
Matteo Martincigh | 992d6dc | 2019-01-10 17:34:20 +0000 | [diff] [blame] | 419 | bool RefLayerSupport::IsMemCopySupported(const TensorInfo &input, |
| 420 | const TensorInfo &output, |
| 421 | Optional<std::string &> reasonIfUnsupported) const |
| 422 | { |
| 423 | ignore_unused(output); |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 424 | return IsSupportedForDataTypeGeneric(reasonIfUnsupported, |
| 425 | input.GetDataType(), |
| 426 | &TrueFunc<>, |
| 427 | &TrueFunc<>, |
| 428 | &TrueFunc<>, |
| 429 | &FalseFuncI32<>, |
| 430 | &TrueFunc<>); |
Matteo Martincigh | 992d6dc | 2019-01-10 17:34:20 +0000 | [diff] [blame] | 431 | } |
| 432 | |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 433 | bool RefLayerSupport::IsMinimumSupported(const TensorInfo& input0, |
| 434 | const TensorInfo& input1, |
| 435 | const TensorInfo& output, |
| 436 | Optional<std::string&> reasonIfUnsupported) const |
| 437 | { |
| 438 | ignore_unused(input1); |
| 439 | ignore_unused(output); |
| 440 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 441 | input0.GetDataType(), |
| 442 | &TrueFunc<>, |
| 443 | &TrueFunc<>); |
| 444 | } |
| 445 | |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 446 | bool RefLayerSupport::IsMultiplicationSupported(const TensorInfo& input0, |
| 447 | const TensorInfo& input1, |
| 448 | const TensorInfo& output, |
| 449 | Optional<std::string&> reasonIfUnsupported) const |
| 450 | { |
| 451 | ignore_unused(input1); |
| 452 | ignore_unused(output); |
| 453 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 454 | input0.GetDataType(), |
| 455 | &TrueFunc<>, |
| 456 | &TrueFunc<>); |
| 457 | } |
| 458 | |
| 459 | bool RefLayerSupport::IsNormalizationSupported(const TensorInfo& input, |
| 460 | const TensorInfo& output, |
| 461 | const NormalizationDescriptor& descriptor, |
| 462 | Optional<std::string&> reasonIfUnsupported) const |
Nina Drozd | 661dfa7 | 2018-10-02 11:14:17 +0100 | [diff] [blame] | 463 | { |
| 464 | ignore_unused(output); |
| 465 | ignore_unused(descriptor); |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 466 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 467 | input.GetDataType(), |
| 468 | &TrueFunc<>, |
| 469 | &FalseFuncU8<>); |
| 470 | } |
| 471 | |
| 472 | bool RefLayerSupport::IsOutputSupported(const TensorInfo& output, |
| 473 | Optional<std::string&> reasonIfUnsupported) const |
| 474 | { |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 475 | return IsSupportedForDataTypeGeneric(reasonIfUnsupported, |
| 476 | output.GetDataType(), |
| 477 | &TrueFunc<>, |
| 478 | &TrueFunc<>, |
| 479 | &TrueFunc<>, |
| 480 | &FalseFuncI32<>, |
| 481 | &TrueFunc<>); |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 482 | } |
| 483 | |
| 484 | bool RefLayerSupport::IsPadSupported(const TensorInfo& input, |
| 485 | const TensorInfo& output, |
| 486 | const PadDescriptor& descriptor, |
| 487 | Optional<std::string&> reasonIfUnsupported) const |
| 488 | { |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 489 | ignore_unused(output); |
| 490 | ignore_unused(descriptor); |
jimfly01 | f6ba747 | 2018-12-04 10:09:52 +0000 | [diff] [blame] | 491 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 492 | input.GetDataType(), |
| 493 | &TrueFunc<>, |
| 494 | &TrueFunc<>); |
Nina Drozd | 661dfa7 | 2018-10-02 11:14:17 +0100 | [diff] [blame] | 495 | } |
| 496 | |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 497 | bool RefLayerSupport::IsPermuteSupported(const TensorInfo& input, |
| 498 | const TensorInfo& output, |
| 499 | const PermuteDescriptor& descriptor, |
| 500 | Optional<std::string&> reasonIfUnsupported) const |
| 501 | { |
| 502 | ignore_unused(output); |
| 503 | ignore_unused(descriptor); |
| 504 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 505 | input.GetDataType(), |
| 506 | &TrueFunc<>, |
| 507 | &TrueFunc<>); |
| 508 | } |
| 509 | |
| 510 | bool RefLayerSupport::IsPooling2dSupported(const TensorInfo& input, |
| 511 | const TensorInfo& output, |
| 512 | const Pooling2dDescriptor& descriptor, |
| 513 | Optional<std::string&> reasonIfUnsupported) const |
| 514 | { |
| 515 | ignore_unused(output); |
| 516 | ignore_unused(descriptor); |
| 517 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 518 | input.GetDataType(), |
| 519 | &TrueFunc<>, |
| 520 | &TrueFunc<>); |
| 521 | } |
| 522 | |
| 523 | bool RefLayerSupport::IsReshapeSupported(const TensorInfo& input, |
Matteo Martincigh | 992d6dc | 2019-01-10 17:34:20 +0000 | [diff] [blame] | 524 | const ReshapeDescriptor& descriptor, |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 525 | Optional<std::string&> reasonIfUnsupported) const |
| 526 | { |
Matteo Martincigh | 992d6dc | 2019-01-10 17:34:20 +0000 | [diff] [blame] | 527 | ignore_unused(descriptor); |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 528 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 529 | input.GetDataType(), |
| 530 | &TrueFunc<>, |
| 531 | &TrueFunc<>); |
| 532 | } |
| 533 | |
| 534 | bool RefLayerSupport::IsResizeBilinearSupported(const TensorInfo& input, |
Sadik Armagan | c625f00 | 2018-12-17 11:32:16 +0000 | [diff] [blame] | 535 | const TensorInfo& output, |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 536 | Optional<std::string&> reasonIfUnsupported) const |
| 537 | { |
Sadik Armagan | c625f00 | 2018-12-17 11:32:16 +0000 | [diff] [blame] | 538 | ignore_unused(output); |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 539 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 540 | input.GetDataType(), |
| 541 | &TrueFunc<>, |
| 542 | &TrueFunc<>); |
| 543 | } |
| 544 | |
Mohamed Nour Abouelseoud | a1d3c6a | 2018-12-27 12:39:16 +0000 | [diff] [blame] | 545 | bool RefLayerSupport::IsRsqrtSupported(const TensorInfo& input, |
| 546 | const TensorInfo& output, |
| 547 | Optional<std::string&> reasonIfUnsupported) const |
| 548 | { |
| 549 | ignore_unused(output); |
| 550 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 551 | input.GetDataType(), |
| 552 | &TrueFunc<>, |
| 553 | &FalseFuncU8<>); |
| 554 | } |
| 555 | |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 556 | bool RefLayerSupport::IsSoftmaxSupported(const TensorInfo& input, |
| 557 | const TensorInfo& output, |
| 558 | const SoftmaxDescriptor& descriptor, |
| 559 | Optional<std::string&> reasonIfUnsupported) const |
| 560 | { |
| 561 | ignore_unused(output); |
| 562 | ignore_unused(descriptor); |
| 563 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 564 | input.GetDataType(), |
| 565 | &TrueFunc<>, |
| 566 | &TrueFunc<>); |
| 567 | } |
| 568 | |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 569 | bool RefLayerSupport::IsSpaceToBatchNdSupported(const TensorInfo& input, |
| 570 | const TensorInfo& output, |
| 571 | const SpaceToBatchNdDescriptor& descriptor, |
| 572 | Optional<std::string&> reasonIfUnsupported) const |
| 573 | { |
| 574 | ignore_unused(output); |
| 575 | ignore_unused(descriptor); |
| 576 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 577 | input.GetDataType(), |
| 578 | &TrueFunc<>, |
| 579 | &TrueFunc<>); |
| 580 | } |
| 581 | |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 582 | bool RefLayerSupport::IsSplitterSupported(const TensorInfo& input, |
| 583 | const ViewsDescriptor& descriptor, |
| 584 | Optional<std::string&> reasonIfUnsupported) const |
| 585 | { |
| 586 | ignore_unused(descriptor); |
| 587 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 588 | input.GetDataType(), |
| 589 | &TrueFunc<>, |
| 590 | &TrueFunc<>); |
| 591 | } |
| 592 | |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 593 | bool RefLayerSupport::IsStridedSliceSupported(const TensorInfo& input, |
| 594 | const TensorInfo& output, |
| 595 | const StridedSliceDescriptor& descriptor, |
| 596 | Optional<std::string&> reasonIfUnsupported) const |
| 597 | { |
| 598 | ignore_unused(output); |
| 599 | ignore_unused(descriptor); |
| 600 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 601 | input.GetDataType(), |
| 602 | &TrueFunc<>, |
| 603 | &TrueFunc<>); |
| 604 | } |
| 605 | |
Aron Virginas-Tar | b5acbb7 | 2018-10-15 11:11:51 +0100 | [diff] [blame] | 606 | bool RefLayerSupport::IsSubtractionSupported(const TensorInfo& input0, |
| 607 | const TensorInfo& input1, |
| 608 | const TensorInfo& output, |
| 609 | Optional<std::string&> reasonIfUnsupported) const |
| 610 | { |
| 611 | ignore_unused(input1); |
| 612 | ignore_unused(output); |
| 613 | return IsSupportedForDataTypeRef(reasonIfUnsupported, |
| 614 | input0.GetDataType(), |
| 615 | &TrueFunc<>, |
| 616 | &TrueFunc<>); |
| 617 | } |
| 618 | |
arovir01 | 1c7c81b | 2018-10-08 11:34:28 +0100 | [diff] [blame] | 619 | } // namespace armnn |