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review.mlplatform.org / ml / armnn / ecb6b8e2ef33daf7b5cd6b61cdea5c6339cf9c51 / . / src / backends / reference / RefLayerSupport.cpp
blob: da8672a6c9d12b88361fcffdbf83d53b618e5861 [file] [log] [blame]
telsoa014fcda012018-03-09 14:13:49 +0000[diff] [blame]1//
2// Copyright © 2017 Arm Ltd. All rights reserved.
David Beckecb56cd2018-09-05 12:52:57 +0100[diff] [blame]3// SPDX-License-Identifier: MIT
telsoa014fcda012018-03-09 14:13:49 +0000[diff] [blame]4//
5
telsoa014fcda012018-03-09 14:13:49 +0000[diff] [blame]6#include "RefLayerSupport.hpp"
David Beck3cc9a622018-10-12 10:38:31 +0100[diff] [blame]7
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]8#include <armnn/TypesUtils.hpp>
telsoa014fcda012018-03-09 14:13:49 +0000[diff] [blame]9#include <armnn/Types.hpp>
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]10#include <armnn/Descriptors.hpp>
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]11#include <armnn/utility/IgnoreUnused.hpp>
telsoa014fcda012018-03-09 14:13:49 +0000[diff] [blame]12
Matteo Martincighe011d202019-11-28 11:35:47 +0000[diff] [blame]13#include <LayerSupportCommon.hpp>
Derek Lambertif674aa02019-08-01 15:56:25 +0100[diff] [blame]14#include <backendsCommon/LayerSupportRules.hpp>
Matteo Martincighe011d202019-11-28 11:35:47 +0000[diff] [blame]15
Matteo Martincighe011d202019-11-28 11:35:47 +0000[diff] [blame]16#include <boost/cast.hpp>
telsoa014fcda012018-03-09 14:13:49 +0000[diff] [blame]17
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]18#include <vector>
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]19#include <array>
20
telsoa014fcda012018-03-09 14:13:49 +0000[diff] [blame]21using namespace boost;
22
23namespace armnn
24{
25
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]26namespace
27{
28
29template<typename Float32Func, typename Uint8Func, typename ... Params>
30bool IsSupportedForDataTypeRef(Optional<std::string&> reasonIfUnsupported,
31 DataType dataType,
32 Float32Func floatFuncPtr,
33 Uint8Func uint8FuncPtr,
34 Params&&... params)
35{
36 return IsSupportedForDataTypeGeneric(reasonIfUnsupported,
37 dataType,
38 &FalseFunc<Params...>,
39 floatFuncPtr,
40 uint8FuncPtr,
narpra01db2b1602019-01-23 15:23:11 +0000[diff] [blame]41 &FalseFunc<Params...>,
kevmay012b4d88e2019-01-24 14:05:09 +0000[diff] [blame]42 &FalseFunc<Params...>,
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]43 std::forward<Params>(params)...);
44}
45
46} // anonymous namespace
47
James Conroy4d1ff582019-06-10 17:06:39 +0100[diff] [blame]48namespace
49{
50
51std::string CreateIncorrectDimensionsErrorMsg(unsigned int expected,
52 unsigned int actual,
53 std::string& layerStr,
54 std::string& tensorName)
55{
56 std::string errorMsg = "Reference " + layerStr + ": Expected " + std::to_string(expected) + " dimensions but got" +
57 " " + std::to_string(actual) + " dimensions instead, for the '" + tensorName + "' tensor.";
58
59 return errorMsg;
60}
61
62} // anonymous namespace
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]63
Sadik Armagan9199e582019-09-05 17:35:31 +0100[diff] [blame]64bool RefLayerSupport::IsAbsSupported(const TensorInfo& input, const TensorInfo& output,
65 Optional<std::string&> reasonIfUnsupported) const
66{
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]67 return IsElementwiseUnarySupported(input,
68 output,
69 ElementwiseUnaryDescriptor(UnaryOperation::Abs),
70 reasonIfUnsupported);
Sadik Armagan9199e582019-09-05 17:35:31 +0100[diff] [blame]71}
72
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]73bool RefLayerSupport::IsActivationSupported(const TensorInfo& input,
74 const TensorInfo& output,
75 const ActivationDescriptor& descriptor,
76 Optional<std::string&> reasonIfUnsupported) const
77{
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]78 bool supported = true;
79
80 // Define supported types.
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]81 std::array<DataType,6> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]82 DataType::BFloat16,
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]83 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]84 DataType::Float16,
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]85 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]86 DataType::QAsymmU8,
87 DataType::QSymmS16
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]88 };
89
90 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
91 "Reference activation: input type not supported.");
92
93 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
94 "Reference activation: output type not supported.");
95
96 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
97 "Reference activation: input and output types mismatched.");
98
99 supported &= CheckSupportRule(ShapesAreSameRank(input, output), reasonIfUnsupported,
100 "Reference activation: input and output shapes are of different rank.");
101
102
103 struct ActivationFunctionSupported : public Rule
104 {
105 ActivationFunctionSupported(const ActivationDescriptor& desc)
106 {
107 switch(desc.m_Function)
108 {
109 case ActivationFunction::Abs:
110 case ActivationFunction::BoundedReLu:
David Monahan3b3c3812020-02-25 09:03:29 +0000[diff] [blame]111 case ActivationFunction::Elu:
Colm Donelan03fbeaf2020-02-26 15:39:23 +0000[diff] [blame]112 case ActivationFunction::HardSwish:
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]113 case ActivationFunction::LeakyReLu:
114 case ActivationFunction::Linear:
115 case ActivationFunction::ReLu:
116 case ActivationFunction::Sigmoid:
117 case ActivationFunction::SoftReLu:
118 case ActivationFunction::Sqrt:
119 case ActivationFunction::Square:
120 case ActivationFunction::TanH:
121 {
122 m_Res = true;
123 break;
124 }
125 default:
126 {
127 m_Res = false;
128 break;
129 }
130 }
131 }
132 };
133
134 // Function is supported
135 supported &= CheckSupportRule(ActivationFunctionSupported(descriptor), reasonIfUnsupported,
136 "Reference activation: function not supported.");
137
138 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]139}
140
141bool RefLayerSupport::IsAdditionSupported(const TensorInfo& input0,
142 const TensorInfo& input1,
143 const TensorInfo& output,
144 Optional<std::string&> reasonIfUnsupported) const
145{
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]146 bool supported = true;
147
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame^]148 std::array<DataType,7> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]149 DataType::BFloat16,
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]150 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]151 DataType::Float16,
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]152 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]153 DataType::QAsymmU8,
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame^]154 DataType::QSymmS16,
155 DataType::Signed32
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]156 };
157
158 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
159 "Reference addition: input 0 is not a supported type.");
160
161 supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
162 "Reference addition: input 1 is not a supported type.");
163
164 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
165 "Reference addition: output is not a supported type.");
166
167 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
168 "Reference addition: input 0 and Input 1 types are mismatched");
169
170 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
171 "Reference addition: input and output types are mismatched");
172
173 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
174 "Reference addition: shapes are not suitable for implicit broadcast.");
175
176 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]177}
178
Nikhil Raj68c2c902019-09-19 11:21:11 +0100[diff] [blame]179bool RefLayerSupport::IsArgMinMaxSupported(const armnn::TensorInfo &input, const armnn::TensorInfo &output,
180 const armnn::ArgMinMaxDescriptor &descriptor,
181 armnn::Optional<std::string &> reasonIfUnsupported) const
182{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]183 IgnoreUnused(descriptor);
Nikhil Raj68c2c902019-09-19 11:21:11 +0100[diff] [blame]184
Teresa Charline300b362020-05-25 10:01:03 +0100[diff] [blame]185 std::array<DataType, 7> supportedTypes =
Nikhil Raj68c2c902019-09-19 11:21:11 +0100[diff] [blame]186 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]187 DataType::BFloat16,
Teresa Charline300b362020-05-25 10:01:03 +0100[diff] [blame]188 DataType::Float16,
Nikhil Raj68c2c902019-09-19 11:21:11 +0100[diff] [blame]189 DataType::Float32,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]190 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]191 DataType::QAsymmU8,
192 DataType::QSymmS16,
Francis Murtagh1939df52019-11-13 15:21:09 +0000[diff] [blame]193 DataType::Signed32
Nikhil Raj68c2c902019-09-19 11:21:11 +0100[diff] [blame]194 };
195
196 bool supported = true;
197
198 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
199 "Reference ArgMinMax: input is not a supported type.");
200 supported &= CheckSupportRule(TypeIs(output, DataType::Signed32), reasonIfUnsupported,
201 "Reference ArgMinMax: output type not supported");
202
203 return supported;
204}
205
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]206bool RefLayerSupport::IsBatchNormalizationSupported(const TensorInfo& input,
207 const TensorInfo& output,
208 const TensorInfo& mean,
Matteo Martincigh3122bd52019-06-03 16:54:25 +0100[diff] [blame]209 const TensorInfo& variance,
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]210 const TensorInfo& beta,
211 const TensorInfo& gamma,
212 const BatchNormalizationDescriptor& descriptor,
213 Optional<std::string&> reasonIfUnsupported) const
214{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]215 IgnoreUnused(descriptor);
Matteo Martincigh3122bd52019-06-03 16:54:25 +0100[diff] [blame]216
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]217 std::array<DataType, 6> supportedTypes =
Matteo Martincigh3122bd52019-06-03 16:54:25 +0100[diff] [blame]218 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]219 DataType::BFloat16,
Matteo Martincigh3122bd52019-06-03 16:54:25 +0100[diff] [blame]220 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]221 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]222 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]223 DataType::QAsymmU8,
224 DataType::QSymmS16
Matteo Martincigh3122bd52019-06-03 16:54:25 +0100[diff] [blame]225 };
226
227 bool supported = true;
228
229 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
230 "Reference batch normalization: input is not a supported type.");
231
232 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
233 "Reference batch normalization: output is not a supported type.");
234
235 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
236 "Reference batch normalization: input and output types are mismatched");
237
238 supported &= CheckSupportRule(TypeAnyOf(mean, supportedTypes), reasonIfUnsupported,
239 "Reference batch normalization: mean is not a supported type.");
240
241 supported &= CheckSupportRule(TypeAnyOf(variance, supportedTypes), reasonIfUnsupported,
242 "Reference batch normalization: variance is not a supported type.");
243
244 supported &= CheckSupportRule(TypeAnyOf(beta, supportedTypes), reasonIfUnsupported,
245 "Reference batch normalization: beta is not a supported type.");
246
247 supported &= CheckSupportRule(TypeAnyOf(gamma, supportedTypes), reasonIfUnsupported,
248 "Reference batch normalization: gamma is not a supported type.");
249
250 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]251}
252
Éanna Ó Catháin4e1e1362018-11-12 11:36:34 +0000[diff] [blame]253bool RefLayerSupport::IsBatchToSpaceNdSupported(const TensorInfo& input,
254 const TensorInfo& output,
255 const BatchToSpaceNdDescriptor& descriptor,
256 Optional<std::string&> reasonIfUnsupported) const
257{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]258 IgnoreUnused(descriptor);
Francis Murtaghd0dfe172019-06-25 10:57:10 +0100[diff] [blame]259
260 bool supported = true;
261
262 std::string batchToSpaceNdLayerStr = "batchToSpaceNd";
263 std::string inputTensorStr = "input";
264 std::string outputTensorStr = "output";
265
266 // Define supported types.
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]267 std::array<DataType,6> supportedTypes =
Francis Murtaghd0dfe172019-06-25 10:57:10 +0100[diff] [blame]268 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]269 DataType::BFloat16,
270 DataType::Float32,
271 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]272 DataType::QAsymmS8,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]273 DataType::QAsymmU8,
274 DataType::QSymmS16
Francis Murtaghd0dfe172019-06-25 10:57:10 +0100[diff] [blame]275 };
276
277 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
278 "Reference BatchToSpaceNd: input type not supported.");
279
280 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
281 "Reference BatchToSpaceNd: output type not supported.");
282
283 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
284 "Reference BatchToSpaceNd: input and output types mismatched.");
285
286 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(output, 4),
287 reasonIfUnsupported,
288 CreateIncorrectDimensionsErrorMsg(4,
289 output.GetNumDimensions(),
290 batchToSpaceNdLayerStr,
291 outputTensorStr).data());
292
293 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(input, 4),
294 reasonIfUnsupported,
295 CreateIncorrectDimensionsErrorMsg(4,
296 input.GetNumDimensions(),
297 batchToSpaceNdLayerStr,
298 inputTensorStr).data());
299
300 return supported;
Éanna Ó Catháin4e1e1362018-11-12 11:36:34 +0000[diff] [blame]301}
302
Aron Virginas-Tar77bfb5e2019-10-16 17:45:38 +0100[diff] [blame]303bool RefLayerSupport::IsComparisonSupported(const TensorInfo& input0,
304 const TensorInfo& input1,
305 const TensorInfo& output,
306 const ComparisonDescriptor& descriptor,
307 Optional<std::string&> reasonIfUnsupported) const
308{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]309 IgnoreUnused(descriptor);
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]310 std::array<DataType, 8> supportedInputTypes =
Aron Virginas-Tar77bfb5e2019-10-16 17:45:38 +0100[diff] [blame]311 {
Sadik Armaganb60dd242020-03-19 13:53:16 +0000[diff] [blame]312 DataType::Boolean,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]313 DataType::BFloat16,
Aron Virginas-Tar77bfb5e2019-10-16 17:45:38 +0100[diff] [blame]314 DataType::Float32,
315 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]316 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]317 DataType::QAsymmU8,
Sadik Armaganb60dd242020-03-19 13:53:16 +0000[diff] [blame]318 DataType::QSymmS16,
319 DataType::Signed32
Aron Virginas-Tar77bfb5e2019-10-16 17:45:38 +0100[diff] [blame]320 };
321
322 bool supported = true;
323 supported &= CheckSupportRule(TypeAnyOf(input0, supportedInputTypes), reasonIfUnsupported,
324 "Reference comparison: input 0 is not a supported type");
325
326 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
327 "Reference comparison: input 0 and Input 1 types are mismatched");
328
329 supported &= CheckSupportRule(TypeIs(output, DataType::Boolean), reasonIfUnsupported,
330 "Reference comparison: output is not of type Boolean");
331
332 return supported;
333}
334
Jim Flynn906f9462019-05-10 13:55:21 +0100[diff] [blame]335bool RefLayerSupport::IsConcatSupported(const std::vector<const TensorInfo*> inputs,
336 const TensorInfo& output,
Jim Flynne242f2d2019-05-22 14:24:13 +0100[diff] [blame]337 const ConcatDescriptor& descriptor,
Jim Flynn906f9462019-05-10 13:55:21 +0100[diff] [blame]338 Optional<std::string&> reasonIfUnsupported) const
339{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]340 IgnoreUnused(descriptor);
Jim Flynne242f2d2019-05-22 14:24:13 +0100[diff] [blame]341
342 bool supported = true;
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]343 std::array<DataType,6> supportedTypes =
Jim Flynne242f2d2019-05-22 14:24:13 +0100[diff] [blame]344 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]345 DataType::BFloat16,
346 DataType::Float32,
347 DataType::Float16,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]348 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]349 DataType::QAsymmU8,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]350 DataType::QSymmS16
Jim Flynne242f2d2019-05-22 14:24:13 +0100[diff] [blame]351 };
352
353 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
354 "Reference concatenation: output type not supported");
355 for (const TensorInfo* input : inputs)
356 {
Narumol Prangnawaratac2770a2020-04-01 16:51:23 +0100[diff] [blame]357 ARMNN_ASSERT(input != nullptr);
Jim Flynne242f2d2019-05-22 14:24:13 +0100[diff] [blame]358 supported &= CheckSupportRule(TypeAnyOf(*input, supportedTypes), reasonIfUnsupported,
359 "Reference concatenation: input type not supported");
360
361 supported &= CheckSupportRule(TypesAreEqual(*input, output), reasonIfUnsupported,
362 "Reference concatenation: input and output types mismatched.");
363 }
364
365 return supported;
Jim Flynn906f9462019-05-10 13:55:21 +0100[diff] [blame]366}
367
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]368bool RefLayerSupport::IsConstantSupported(const TensorInfo& output,
369 Optional<std::string&> reasonIfUnsupported) const
370{
Teresa Charlin6fa8ce62020-05-25 16:16:44 +0100[diff] [blame]371 std::array<DataType,8> supportedTypes =
Jim Flynne242f2d2019-05-22 14:24:13 +0100[diff] [blame]372 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]373 DataType::BFloat16,
Teresa Charlin6fa8ce62020-05-25 16:16:44 +0100[diff] [blame]374 DataType::Float16,
Nina Drozd58ef2c62019-05-16 12:09:18 +0100[diff] [blame]375 DataType::Float32,
Keith Davis67e6c542020-02-19 10:08:33 +0000[diff] [blame]376 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]377 DataType::QAsymmU8,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]378 DataType::QSymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]379 DataType::QSymmS16,
380 DataType::Signed32
Nina Drozd58ef2c62019-05-16 12:09:18 +0100[diff] [blame]381 };
382
383 return CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
384 "Reference constant: output is not a supported type.");
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]385}
386
Narumol Prangnawarat7ddbbae2020-03-13 10:26:05 +0000[diff] [blame]387bool RefLayerSupport::IsConvertBf16ToFp32Supported(const TensorInfo& input,
388 const TensorInfo& output,
389 Optional<std::string&> reasonIfUnsupported) const
390{
391 bool supported = true;
392
393 supported &= CheckSupportRule(TypeIs(input, DataType::BFloat16), reasonIfUnsupported,
394 "Reference for ConvertBf16ToFp32 layer: input type not supported");
395
396 supported &= CheckSupportRule(TypeIs(output, DataType::Float32), reasonIfUnsupported,
397 "Reference for ConvertBf16ToFp32 layer: output type not supported");
398
399 return supported;
400}
401
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]402bool RefLayerSupport::IsConvertFp16ToFp32Supported(const TensorInfo& input,
403 const TensorInfo& output,
404 Optional<std::string&> reasonIfUnsupported) const
405{
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]406 return (IsSupportedForDataTypeGeneric(reasonIfUnsupported,
407 input.GetDataType(),
408 &TrueFunc<>,
409 &FalseInputFuncF32<>,
narpra01db2b1602019-01-23 15:23:11 +0000[diff] [blame]410 &FalseFuncU8<>,
kevmay012b4d88e2019-01-24 14:05:09 +0000[diff] [blame]411 &FalseFuncI32<>,
412 &FalseFuncU8<>) &&
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]413 IsSupportedForDataTypeGeneric(reasonIfUnsupported,
414 output.GetDataType(),
415 &FalseOutputFuncF16<>,
416 &TrueFunc<>,
narpra01db2b1602019-01-23 15:23:11 +0000[diff] [blame]417 &FalseFuncU8<>,
kevmay012b4d88e2019-01-24 14:05:09 +0000[diff] [blame]418 &FalseFuncI32<>,
419 &FalseFuncU8<>));
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]420}
421
Narumol Prangnawaratea54a012020-03-16 16:36:10 +0000[diff] [blame]422bool RefLayerSupport::IsConvertFp32ToBf16Supported(const TensorInfo& input,
423 const TensorInfo& output,
424 Optional<std::string&> reasonIfUnsupported) const
425{
426 bool supported = true;
427
428 supported &= CheckSupportRule(TypeIs(input, DataType::Float32), reasonIfUnsupported,
429 "Reference for ConvertFp32ToBf16 layer: input type not supported");
430
431 supported &= CheckSupportRule(TypeIs(output, DataType::BFloat16), reasonIfUnsupported,
432 "Reference for ConvertFp32ToBf16 layer: output type not supported");
433
434 return supported;
435}
436
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]437bool RefLayerSupport::IsConvertFp32ToFp16Supported(const TensorInfo& input,
438 const TensorInfo& output,
439 Optional<std::string&> reasonIfUnsupported) const
440{
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]441 return (IsSupportedForDataTypeGeneric(reasonIfUnsupported,
442 input.GetDataType(),
443 &FalseInputFuncF16<>,
444 &TrueFunc<>,
narpra01db2b1602019-01-23 15:23:11 +0000[diff] [blame]445 &FalseFuncU8<>,
kevmay012b4d88e2019-01-24 14:05:09 +0000[diff] [blame]446 &FalseFuncI32<>,
447 &FalseFuncU8<>) &&
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]448 IsSupportedForDataTypeGeneric(reasonIfUnsupported,
449 output.GetDataType(),
450 &TrueFunc<>,
451 &FalseOutputFuncF32<>,
narpra01db2b1602019-01-23 15:23:11 +0000[diff] [blame]452 &FalseFuncU8<>,
kevmay012b4d88e2019-01-24 14:05:09 +0000[diff] [blame]453 &FalseFuncI32<>,
454 &FalseFuncU8<>));
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]455}
456
457bool RefLayerSupport::IsConvolution2dSupported(const TensorInfo& input,
458 const TensorInfo& output,
459 const Convolution2dDescriptor& descriptor,
460 const TensorInfo& weights,
461 const Optional<TensorInfo>& biases,
462 Optional<std::string&> reasonIfUnsupported) const
463{
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]464 bool supported = true;
465
466 // Define supported types.
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]467 std::array<DataType,7> supportedTypes =
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]468 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]469 DataType::BFloat16,
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]470 DataType::Float32,
471 DataType::Float16,
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]472 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]473 DataType::QAsymmU8,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]474 DataType::QSymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]475 DataType::QSymmS16
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]476 };
477
478 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]479 "Reference Convolution2d: input is not a supported type.");
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]480
481 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]482 "Reference Convolution2d: output is not a supported type.");
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]483
Narumol Prangnawarat57ef0082020-03-26 09:20:43 +0000[diff] [blame]484 // For Convolution2d, we allow to have BFloat16 input with Float32 output for optimization.
485 if (input.GetDataType() == DataType::BFloat16)
486 {
487 if (output.GetDataType() != DataType::BFloat16 && output.GetDataType() != DataType::Float32)
488 {
489 reasonIfUnsupported.value() += "Output tensor type must be BFloat16 or Float32 for BFloat16 input.\n";
490 supported = false;
491 }
492 }
493 else
494 {
495 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]496 "Reference Convolution2d: input and output types mismatched.");
Narumol Prangnawarat57ef0082020-03-26 09:20:43 +0000[diff] [blame]497 }
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]498
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]499 const DataType inputType = input.GetDataType();
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]500 if (IsQuantized8BitType(inputType))
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]501 {
Derek Lambertid466a542020-01-22 15:37:29 +0000[diff] [blame]502 ARMNN_NO_DEPRECATE_WARN_BEGIN
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]503 std::array<DataType, 4> supportedWeightTypes =
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]504 {
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]505 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]506 DataType::QAsymmU8,
Derek Lambertid466a542020-01-22 15:37:29 +0000[diff] [blame]507 DataType::QSymmS8,
508 DataType::QuantizedSymm8PerAxis // deprecated
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]509 };
Derek Lambertid466a542020-01-22 15:37:29 +0000[diff] [blame]510 ARMNN_NO_DEPRECATE_WARN_END
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]511
512 supported &= CheckSupportRule(TypeAnyOf(weights, supportedWeightTypes), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]513 "Reference Convolution2d: weights type not supported for quantized input.");
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]514 }
515 else
516 {
517 supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]518 "Reference Convolution2d: weights is not a supported type.");
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]519
520 supported &= CheckSupportRule(TypesAreEqual(input, weights), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]521 "Reference Convolution2d: input and weights types mismatched.");
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]522 }
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]523
524 if (biases.has_value())
525 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]526 std::array<DataType,4> biasesSupportedTypes =
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]527 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]528 DataType::BFloat16,
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]529 DataType::Float32,
530 DataType::Float16,
531 DataType::Signed32
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]532 };
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]533
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]534 supported &= CheckSupportRule(TypeAnyOf(biases.value(), biasesSupportedTypes), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]535 "Reference Convolution2d: biases is not a supported type.");
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]536 }
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]537 IgnoreUnused(descriptor);
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]538
539 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]540}
541
Nattapat Chaimanowongcfdcadf2018-12-06 11:54:33 +0000[diff] [blame]542bool RefLayerSupport::IsDebugSupported(const TensorInfo& input,
543 const TensorInfo& output,
Nattapat Chaimanowongcfdcadf2018-12-06 11:54:33 +0000[diff] [blame]544 Optional<std::string&> reasonIfUnsupported) const
545{
Narumol Prangnawarat47cfee92019-07-04 10:29:00 +0100[diff] [blame]546 bool supported = true;
547
Narumol Prangnawarat403a1852020-03-12 14:24:13 +0000[diff] [blame]548 std::array<DataType, 8> supportedTypes =
Narumol Prangnawarat47cfee92019-07-04 10:29:00 +0100[diff] [blame]549 {
Narumol Prangnawarat403a1852020-03-12 14:24:13 +0000[diff] [blame]550 DataType::BFloat16,
Aron Virginas-Tardb1a2832019-11-12 16:15:11 +0000[diff] [blame]551 DataType::Float16,
Narumol Prangnawarat47cfee92019-07-04 10:29:00 +0100[diff] [blame]552 DataType::Float32,
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]553 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]554 DataType::QAsymmU8,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]555 DataType::QSymmS8,
Narumol Prangnawaratd2d917d2020-01-09 10:16:39 +0000[diff] [blame]556 DataType::QSymmS16,
557 DataType::Signed32
Narumol Prangnawarat47cfee92019-07-04 10:29:00 +0100[diff] [blame]558 };
559
560 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]561 "Reference for Debug layer: input type not supported");
Narumol Prangnawarat47cfee92019-07-04 10:29:00 +0100[diff] [blame]562
563 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]564 "Reference for Debug layer: output type not supported");
Narumol Prangnawarat47cfee92019-07-04 10:29:00 +0100[diff] [blame]565
566 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]567 "Reference for Debug layer: input and output types are mismatched");
Narumol Prangnawarat47cfee92019-07-04 10:29:00 +0100[diff] [blame]568
569 return supported;
Nattapat Chaimanowongcfdcadf2018-12-06 11:54:33 +0000[diff] [blame]570}
571
Aron Virginas-Tar73f66422019-09-23 19:11:59 +0100[diff] [blame]572bool RefLayerSupport::IsDepthToSpaceSupported(const TensorInfo& input,
573 const TensorInfo& output,
574 const DepthToSpaceDescriptor& descriptor,
575 Optional<std::string&> reasonIfUnsupported) const
576{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]577 IgnoreUnused(descriptor);
Aron Virginas-Tar73f66422019-09-23 19:11:59 +0100[diff] [blame]578 bool supported = true;
579
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]580 std::array<DataType,6> supportedTypes =
Aron Virginas-Tar73f66422019-09-23 19:11:59 +0100[diff] [blame]581 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]582 DataType::BFloat16,
Aron Virginas-Tar73f66422019-09-23 19:11:59 +0100[diff] [blame]583 DataType::Float32,
584 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]585 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]586 DataType::QAsymmU8,
587 DataType::QSymmS16
Aron Virginas-Tar73f66422019-09-23 19:11:59 +0100[diff] [blame]588 };
589
590 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
591 "Reference DepthToSpace: input type not supported");
592
593 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
594 "Reference DepthToSpace: output type not supported");
595
596 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
597 "Reference DepthToSpace: input and output types are mismatched");
598
599 return supported;
600}
601
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]602bool RefLayerSupport::IsDepthwiseConvolutionSupported(const TensorInfo& input,
603 const TensorInfo& output,
604 const DepthwiseConvolution2dDescriptor& descriptor,
605 const TensorInfo& weights,
606 const Optional<TensorInfo>& biases,
607 Optional<std::string&> reasonIfUnsupported) const
608{
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]609 IgnoreUnused(descriptor);
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]610 bool supported = true;
611
612 // Define supported types.
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]613 std::array<DataType,7> supportedTypes =
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]614 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]615 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]616 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]617 DataType::Float16,
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]618 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]619 DataType::QAsymmU8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]620 DataType::QSymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]621 DataType::QSymmS16
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]622 };
623
624 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
625 "Reference DepthwiseConvolution2d: input is not a supported type.");
626
627 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
628 "Reference DepthwiseConvolution2d: output is not a supported type.");
629
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]630 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
631 "Reference DepthwiseConvolution2d: input and output types mismatched.");
632
Teresa Charlind8df0262019-11-11 12:28:15 +0000[diff] [blame]633 const DataType inputType = input.GetDataType();
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]634 if (IsQuantized8BitType(inputType))
Teresa Charlind8df0262019-11-11 12:28:15 +0000[diff] [blame]635 {
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]636 ARMNN_NO_DEPRECATE_WARN_BEGIN
637 std::array<DataType, 4> supportedWeightTypes =
638 {
639 DataType::QAsymmS8,
640 DataType::QAsymmU8,
641 DataType::QSymmS8,
642 DataType::QuantizedSymm8PerAxis // deprecated
643 };
644 ARMNN_NO_DEPRECATE_WARN_END
Teresa Charlind8df0262019-11-11 12:28:15 +0000[diff] [blame]645
646 supported &= CheckSupportRule(TypeAnyOf(weights, supportedWeightTypes), reasonIfUnsupported,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]647 "Reference DepthwiseConvolution2d: weights type not supported for "
648 "quantized input.");
Teresa Charlind8df0262019-11-11 12:28:15 +0000[diff] [blame]649 }
650 else
651 {
652 supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,
653 "Reference DepthwiseConvolution2d: weights is not a supported type.");
654
655 supported &= CheckSupportRule(TypesAreEqual(input, weights), reasonIfUnsupported,
656 "Reference DepthwiseConvolution2d: input and weights types mismatched.");
657 }
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]658
659 if (biases.has_value())
660 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]661 std::array<DataType,4> biasesSupportedTypes =
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]662 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]663 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]664 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]665 DataType::Float16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]666 DataType::Signed32
667 };
668 supported &= CheckSupportRule(TypeAnyOf(biases.value(), biasesSupportedTypes), reasonIfUnsupported,
669 "Reference DepthwiseConvolution2d: biases is not a supported type.");
670 }
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]671
672 return supported;
673
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]674}
675
Nattapat Chaimanowong8a54ac02019-03-29 15:25:04 +0000[diff] [blame]676bool RefLayerSupport::IsDequantizeSupported(const TensorInfo& input,
677 const TensorInfo& output,
678 Optional<std::string&> reasonIfUnsupported) const
679{
Nattapat Chaimanowongafa4e3a2019-04-02 11:41:45 +0100[diff] [blame]680 bool supported = true;
681
Ryan OShea9add1202020-02-07 10:06:33 +0000[diff] [blame]682 std::array<DataType,4> supportedInputTypes = {
683 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]684 DataType::QAsymmU8,
Finn Williamsfd271062019-12-04 14:27:27 +0000[diff] [blame]685 DataType::QSymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]686 DataType::QSymmS16
Nattapat Chaimanowongafa4e3a2019-04-02 11:41:45 +0100[diff] [blame]687 };
688
689 supported &= CheckSupportRule(TypeAnyOf(input, supportedInputTypes), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]690 "Reference for Dequantize layer: input type not supported.");
691
692 supported &= CheckSupportRule( TypeNotPerAxisQuantized(input), reasonIfUnsupported,
693 "Reference for Dequantize layer: per-axis quantized input not support .");
Nattapat Chaimanowongafa4e3a2019-04-02 11:41:45 +0100[diff] [blame]694
Derek Lambertid466a542020-01-22 15:37:29 +0000[diff] [blame]695 supported &= CheckSupportRule(TypeNotPerAxisQuantized(input), reasonIfUnsupported,
696 "Reference dequantize: per-axis quantized input not support .");
697
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]698 std::array<DataType,3> supportedOutputTypes = {
699 DataType::BFloat16,
Jan Eilersf7107932019-11-01 11:09:36 +0000[diff] [blame]700 DataType::Float32,
701 DataType::Float16
Nattapat Chaimanowongafa4e3a2019-04-02 11:41:45 +0100[diff] [blame]702 };
703
704 supported &= CheckSupportRule(TypeAnyOf(output, supportedOutputTypes), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]705 "Reference for Dequantize layer: output type not supported.");
Nattapat Chaimanowongafa4e3a2019-04-02 11:41:45 +0100[diff] [blame]706
707 supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]708 "Reference for Dequantize layer: input/output shapes have different num total "
709 "elements.");
Nattapat Chaimanowongafa4e3a2019-04-02 11:41:45 +0100[diff] [blame]710
711 return supported;
Nattapat Chaimanowong8a54ac02019-03-29 15:25:04 +0000[diff] [blame]712}
713
Derek Lamberti6a5e5e82019-12-05 14:41:20 +0000[diff] [blame]714bool RefLayerSupport::IsDetectionPostProcessSupported(const TensorInfo& boxEncodings,
715 const TensorInfo& scores,
716 const TensorInfo& anchors,
717 const TensorInfo& detectionBoxes,
718 const TensorInfo& detectionClasses,
719 const TensorInfo& detectionScores,
720 const TensorInfo& numDetections,
721 const DetectionPostProcessDescriptor& descriptor,
722 Optional<std::string&> reasonIfUnsupported) const
Narumol Prangnawaratbc67cef2019-01-31 15:31:54 +0000[diff] [blame]723{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]724 IgnoreUnused(anchors, detectionBoxes, detectionClasses, detectionScores, numDetections, descriptor);
Derek Lamberti901ea112019-12-10 22:07:09 +0000[diff] [blame]725
Aron Virginas-Tara37e1bd2019-06-06 16:08:30 +0100[diff] [blame]726 bool supported = true;
727
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]728 std::array<DataType,5> supportedInputTypes =
Aron Virginas-Tara37e1bd2019-06-06 16:08:30 +0100[diff] [blame]729 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]730 DataType::BFloat16,
Aron Virginas-Tara37e1bd2019-06-06 16:08:30 +0100[diff] [blame]731 DataType::Float32,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]732 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]733 DataType::QAsymmU8,
734 DataType::QSymmS16
Aron Virginas-Tara37e1bd2019-06-06 16:08:30 +0100[diff] [blame]735 };
736
Derek Lamberti6a5e5e82019-12-05 14:41:20 +0000[diff] [blame]737 supported &= CheckSupportRule(TypeAnyOf(boxEncodings, supportedInputTypes), reasonIfUnsupported,
Aron Virginas-Tara37e1bd2019-06-06 16:08:30 +0100[diff] [blame]738 "Reference DetectionPostProcess: input 0 is not a supported type.");
739
Derek Lamberti6a5e5e82019-12-05 14:41:20 +0000[diff] [blame]740 supported &= CheckSupportRule(TypeAnyOf(scores, supportedInputTypes), reasonIfUnsupported,
Aron Virginas-Tara37e1bd2019-06-06 16:08:30 +0100[diff] [blame]741 "Reference DetectionPostProcess: input 1 is not a supported type.");
742
743 return supported;
Narumol Prangnawaratbc67cef2019-01-31 15:31:54 +0000[diff] [blame]744}
745
Pablo Tellof0bd6832019-04-26 17:58:13 +0100[diff] [blame]746bool RefLayerSupport::IsDilatedDepthwiseConvolutionSupported(const TensorInfo& input,
747 const TensorInfo& output,
748 const DepthwiseConvolution2dDescriptor& descriptor,
749 const TensorInfo& weights,
750 const Optional<TensorInfo>& biases,
751 Optional<std::string&> reasonIfUnsupported) const
752{
Aron Virginas-Taraece4ed2019-06-14 17:00:09 +0100[diff] [blame]753 return IsDepthwiseConvolutionSupported(input, output, descriptor, weights, biases, reasonIfUnsupported);
Pablo Tellof0bd6832019-04-26 17:58:13 +0100[diff] [blame]754}
755
Aron Virginas-Taraece4ed2019-06-14 17:00:09 +0100[diff] [blame]756bool RefLayerSupport::IsDivisionSupported(const TensorInfo& input0,
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]757 const TensorInfo& input1,
758 const TensorInfo& output,
759 Optional<std::string&> reasonIfUnsupported) const
760{
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]761 bool supported = true;
762
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame^]763 std::array<DataType,7> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]764 DataType::BFloat16,
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]765 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]766 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]767 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]768 DataType::QAsymmU8,
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame^]769 DataType::QSymmS16,
770 DataType::Signed32
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]771 };
772
773 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
774 "Reference division: input 0 is not a supported type.");
775
776 supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
777 "Reference division: input 1 is not a supported type.");
778
779 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
780 "Reference division: output is not a supported type.");
781
782 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
783 "Reference division: input 0 and Input 1 types are mismatched");
784
785 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
786 "Reference division: input and output types are mismatched");
787
788 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
789 "Reference division: shapes are not suitable for implicit broadcast.");
790
791 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]792}
793
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]794bool RefLayerSupport::IsElementwiseUnarySupported(const TensorInfo& input,
795 const TensorInfo& output,
796 const ElementwiseUnaryDescriptor& descriptor,
797 Optional<std::string&> reasonIfUnsupported) const
798{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]799 IgnoreUnused(descriptor);
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]800
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]801 std::array<DataType, 7> supportedTypes =
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]802 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]803 DataType::BFloat16,
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]804 DataType::Float32,
805 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]806 DataType::QAsymmS8,
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]807 DataType::QAsymmU8,
Sadik Armaganac472102020-03-24 09:54:36 +0000[diff] [blame]808 DataType::QSymmS16,
809 DataType::Signed32
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]810 };
811
812 bool supported = true;
813
814 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
815 "Reference elementwise unary: input type not supported");
816
817 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
818 "Reference elementwise unary: output type not supported");
819
820 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
821 "Reference elementwise unary: input and output types not matching");
822
823 supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
824 "Reference elementwise unary: input and output shapes"
825 "have different number of total elements");
826
827 return supported;
828}
829
FrancisMurtagh30cdfca2018-12-18 12:57:35 +0000[diff] [blame]830bool RefLayerSupport::IsEqualSupported(const TensorInfo& input0,
831 const TensorInfo& input1,
832 const TensorInfo& output,
833 Optional<std::string&> reasonIfUnsupported) const
834{
Aron Virginas-Tar77bfb5e2019-10-16 17:45:38 +0100[diff] [blame]835 return IsComparisonSupported(input0,
836 input1,
837 output,
838 ComparisonDescriptor(ComparisonOperation::Equal),
839 reasonIfUnsupported);
FrancisMurtagh30cdfca2018-12-18 12:57:35 +0000[diff] [blame]840}
841
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]842bool RefLayerSupport::IsFakeQuantizationSupported(const TensorInfo& input,
843 const FakeQuantizationDescriptor& descriptor,
844 Optional<std::string&> reasonIfUnsupported) const
845{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]846 IgnoreUnused(descriptor);
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]847 bool supported = true;
848
849 std::array<DataType,1> supportedTypes =
850 {
851 DataType::Float32
852 };
853
854 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
855 "Reference fake quantization: input type not supported.");
856
857 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]858}
859
860bool RefLayerSupport::IsFloorSupported(const TensorInfo& input,
861 const TensorInfo& output,
862 Optional<std::string&> reasonIfUnsupported) const
863{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]864 IgnoreUnused(output);
James Conroy83735b12019-05-30 16:36:59 +0100[diff] [blame]865 bool supported = true;
866
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]867 std::array<DataType,4> supportedTypes =
James Conroy83735b12019-05-30 16:36:59 +0100[diff] [blame]868 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]869 DataType::BFloat16,
James Conroyb40d7102019-06-04 12:32:09 +0100[diff] [blame]870 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]871 DataType::Float16,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]872 DataType::QSymmS16
James Conroy83735b12019-05-30 16:36:59 +0100[diff] [blame]873 };
874
875 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
876 "Reference Floor: input type not supported.");
877
878 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
879 "Reference Floor: output type not supported.");
880
881 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]882}
883
884bool RefLayerSupport::IsFullyConnectedSupported(const TensorInfo& input,
885 const TensorInfo& output,
886 const TensorInfo& weights,
887 const TensorInfo& biases,
888 const FullyConnectedDescriptor& descriptor,
889 Optional<std::string&> reasonIfUnsupported) const
890{
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]891 bool supported = true;
892
893 // Define supported types.
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]894 std::array<DataType,6> supportedTypes =
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]895 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]896 DataType::BFloat16,
897 DataType::Float32,
898 DataType::Float16,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]899 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]900 DataType::QAsymmU8,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]901 DataType::QSymmS16
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]902 };
903
904 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
905 "Reference Fully Connected: input type not supported.");
906
907 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
908 "Reference Fully Connected: output type not supported.");
909
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]910 supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,
911 "Reference Fully Connected: weights type not supported.");
912
Narumol Prangnawarat57ef0082020-03-26 09:20:43 +0000[diff] [blame]913 // For FullyConnected, we allow to have BFloat16 input with Float32 output for optimization.
914 if (input.GetDataType() == DataType::BFloat16)
915 {
916 if (output.GetDataType() != DataType::BFloat16 && output.GetDataType() != DataType::Float32)
917 {
918 reasonIfUnsupported.value() += "Output tensor type must be BFloat16 or Float32 for BFloat16 input.\n";
919 supported = false;
920 }
921 }
922 else
923 {
924 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
925 "Reference Fully Connected: input and output types mismatched.");
926 }
927
Francis Murtaghddb1d062020-03-10 13:51:45 +0000[diff] [blame]928 ARMNN_NO_DEPRECATE_WARN_BEGIN
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]929 std::array<DataType, 4> supportedWeightTypes =
Francis Murtaghddb1d062020-03-10 13:51:45 +0000[diff] [blame]930 {
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]931 DataType::QAsymmS8,
Francis Murtaghddb1d062020-03-10 13:51:45 +0000[diff] [blame]932 DataType::QAsymmU8,
933 DataType::QSymmS8,
934 DataType::QuantizedSymm8PerAxis // deprecated
935 };
936 ARMNN_NO_DEPRECATE_WARN_END
937
938 if (IsQuantized8BitType(input.GetDataType()))
939 {
940
941 supported &= CheckSupportRule(TypeAnyOf(weights, supportedWeightTypes), reasonIfUnsupported,
942 "Reference Fully Connected: weights type not supported for quantized input.");
943 }
944 else
945 {
946 supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,
947 "Reference Fully Connected: weights is not a supported type.");
948
949 supported &= CheckSupportRule(TypesAreEqual(input, weights), reasonIfUnsupported,
950 "Reference Fully Connected: input and weights types mismatched.");
951 }
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]952
953 if (descriptor.m_BiasEnabled)
954 {
955 // Defined supported types for bias
Sadik Armagandb73c982020-04-01 17:35:30 +0100[diff] [blame]956 std::array<DataType, 5>
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]957 supportedBiasTypes =
958 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]959 DataType::BFloat16,
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]960 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]961 DataType::Float16,
Sadik Armagandb73c982020-04-01 17:35:30 +0100[diff] [blame]962 DataType::Signed32,
963 DataType::QAsymmS8
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]964 };
965
966 supported &= CheckSupportRule(TypeAnyOf(biases, supportedBiasTypes), reasonIfUnsupported,
967 "Reference Fully Connected: bias type not supported.");
968
969 supported &= CheckSupportRule(BiasAndWeightsTypesMatch(biases, weights), reasonIfUnsupported,
970 "Reference Fully Connected: bias and weight types mismatch.");
971
972 supported &= CheckSupportRule(BiasAndWeightsTypesCompatible(weights, supportedBiasTypes), reasonIfUnsupported,
973 "Reference Fully Connected: bias type inferred from weights is incompatible.");
974
Narumol Prangnawarat366d7232020-04-29 12:58:17 +0100[diff] [blame]975 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(biases, 1U), reasonIfUnsupported,
976 "Reference Fully Connected: bias must have 1 dimension.");
977
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]978 }
979
980 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]981}
982
narpra014951d842019-01-18 16:53:53 +0000[diff] [blame]983bool RefLayerSupport::IsGatherSupported(const armnn::TensorInfo& input0,
984 const armnn::TensorInfo& input1,
985 const armnn::TensorInfo& output,
986 armnn::Optional<std::string&> reasonIfUnsupported) const
987{
Ellen Norris-Thompsone0dbedf2019-06-24 09:23:38 +0100[diff] [blame]988 bool supported = true;
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]989 std::array<DataType,6> supportedTypes =
Ellen Norris-Thompsone0dbedf2019-06-24 09:23:38 +0100[diff] [blame]990 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]991 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]992 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]993 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]994 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]995 DataType::QAsymmU8,
996 DataType::QSymmS16
Ellen Norris-Thompsone0dbedf2019-06-24 09:23:38 +0100[diff] [blame]997 };
998
999 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
1000 "Reference Gather: input type not supported");
1001
1002 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1003 "Reference Gather: output type not supported");
1004
1005 supported &= CheckSupportRule(TypeIs(input1, DataType::Signed32), reasonIfUnsupported,
1006 "Reference Gather: indices (input1) type not supported");
1007
1008 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
1009 "Reference Gather: input and output types not matching");
1010
1011 return supported;
narpra014951d842019-01-18 16:53:53 +0000[diff] [blame]1012}
1013
FrancisMurtagh878f0232018-12-19 10:56:15 +0000[diff] [blame]1014bool RefLayerSupport::IsGreaterSupported(const TensorInfo& input0,
1015 const TensorInfo& input1,
1016 const TensorInfo& output,
1017 Optional<std::string&> reasonIfUnsupported) const
1018{
Aron Virginas-Tar77bfb5e2019-10-16 17:45:38 +0100[diff] [blame]1019 return IsComparisonSupported(input0,
1020 input1,
1021 output,
1022 ComparisonDescriptor(ComparisonOperation::Greater),
1023 reasonIfUnsupported);
FrancisMurtagh878f0232018-12-19 10:56:15 +0000[diff] [blame]1024}
1025
Derek Lamberti901ea112019-12-10 22:07:09 +0000[diff] [blame]1026bool RefLayerSupport::IsInputSupported(const TensorInfo& /*input*/,
1027 Optional<std::string&> /*reasonIfUnsupported*/) const
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1028{
Narumol Prangnawaratb6441e42019-06-04 11:22:00 +0100[diff] [blame]1029 return true;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1030}
1031
Kevin May09ca49c2019-10-09 12:37:34 +0100[diff] [blame]1032bool RefLayerSupport::IsInstanceNormalizationSupported(const TensorInfo& input,
1033 const TensorInfo& output,
1034 const InstanceNormalizationDescriptor& descriptor,
1035 Optional<std::string&> reasonIfUnsupported) const
1036{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1037 IgnoreUnused(descriptor);
Kevin May09ca49c2019-10-09 12:37:34 +0100[diff] [blame]1038 // Define supported types
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1039 std::array<DataType, 3> supportedTypes =
Kevin May09ca49c2019-10-09 12:37:34 +0100[diff] [blame]1040 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1041 DataType::BFloat16,
Kevin May09ca49c2019-10-09 12:37:34 +0100[diff] [blame]1042 DataType::Float32,
1043 DataType::Float16
1044 };
1045
1046 bool supported = true;
1047
1048 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1049 "Reference Instance Normalization: input type not supported.");
1050
1051 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1052 "Reference Instance Normalization: output type not supported.");
1053
1054 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1055 "Reference Instance Normalization: input and output types mismatched.");
1056
1057 supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
1058 "Reference Instance Normalization: input and output shapes have different "
1059 "num total elements.");
1060
1061 return supported;
1062}
1063
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1064bool RefLayerSupport::IsL2NormalizationSupported(const TensorInfo& input,
1065 const TensorInfo& output,
1066 const L2NormalizationDescriptor& descriptor,
1067 Optional<std::string&> reasonIfUnsupported) const
1068{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1069 IgnoreUnused(descriptor);
Ferran Balaguerd73d14f2019-06-10 10:29:54 +0100[diff] [blame]1070 // Define supported types
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1071 std::array<DataType, 6> supportedTypes =
Ferran Balaguerd73d14f2019-06-10 10:29:54 +0100[diff] [blame]1072 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1073 DataType::BFloat16,
Ferran Balaguerd73d14f2019-06-10 10:29:54 +0100[diff] [blame]1074 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]1075 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1076 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1077 DataType::QAsymmU8,
1078 DataType::QSymmS16
Ferran Balaguerd73d14f2019-06-10 10:29:54 +0100[diff] [blame]1079 };
1080
1081 bool supported = true;
1082
1083 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1084 "Reference L2normalization: input type not supported.");
1085
1086 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1087 "Reference L2normalization: output type not supported.");
1088
1089 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1090 "Reference L2normalization: input and output types mismatched.");
1091
1092 supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
1093 "Reference L2normalization: input and output shapes have different "
1094 "num total elements.");
1095
1096 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1097}
1098
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1099bool RefLayerSupport::IsLogSoftmaxSupported(const TensorInfo& input,
1100 const TensorInfo& output,
1101 const LogSoftmaxDescriptor& descriptor,
1102 Optional<std::string&> reasonIfUnsupported) const
1103{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1104 IgnoreUnused(descriptor);
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1105
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1106 std::array<DataType, 3> supportedTypes =
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1107 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1108 DataType::BFloat16,
1109 DataType::Float32,
1110 DataType::Float16
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1111 };
1112
1113 bool supported = true;
1114 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1115 "Reference LogSoftmax: input type not supported");
1116
1117 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1118 "Reference LogSoftmax: output type not supported");
1119
1120 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1121 "Reference LogSoftmax: input and output types do not match");
1122
1123 return supported;
1124}
1125
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1126bool RefLayerSupport::IsLstmSupported(const TensorInfo& input,
1127 const TensorInfo& outputStateIn,
1128 const TensorInfo& cellStateIn,
1129 const TensorInfo& scratchBuffer,
1130 const TensorInfo& outputStateOut,
1131 const TensorInfo& cellStateOut,
1132 const TensorInfo& output,
1133 const LstmDescriptor& descriptor,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1134 const LstmInputParamsInfo& paramsInfo,
1135 Optional<std::string&> reasonIfUnsupported) const
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1136{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1137 IgnoreUnused(descriptor);
1138 IgnoreUnused(paramsInfo);
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1139
1140 bool supported = true;
1141
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1142 std::array<DataType,3> supportedTypes = {
1143 DataType::BFloat16,
Conor Kennedyb9971c92019-05-07 07:14:23 +0100[diff] [blame]1144 DataType::Float32,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1145 DataType::QSymmS16
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1146 };
1147
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1148 // check inputs and outputs
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1149 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1150 "Reference Lstm: input is not a supported type.");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1151 supported &= CheckSupportRule(TypesAreEqual(input, outputStateIn), reasonIfUnsupported,
1152 "Reference Lstm: input and outputStateIn types are mismatched");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1153 supported &= CheckSupportRule(TypesAreEqual(input, cellStateIn), reasonIfUnsupported,
1154 "Reference Lstm: input and cellStateIn types are mismatched");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1155 supported &= CheckSupportRule(TypesAreEqual(input, scratchBuffer), reasonIfUnsupported,
1156 "Reference Lstm: input and scratchBuffer types are mismatched");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1157 supported &= CheckSupportRule(TypesAreEqual(input, outputStateOut), reasonIfUnsupported,
1158 "Reference Lstm: input and outputStateOut types are mismatched");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1159 supported &= CheckSupportRule(TypesAreEqual(input, cellStateOut), reasonIfUnsupported,
1160 "Reference Lstm: input and cellStateOut types are mismatched");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1161 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1162 "Reference Lstm: input and output types are mismatched");
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1163 // check layer parameters
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1164 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputToForgetWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1165 "Reference Lstm: input and InputToForgetWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1166 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputToCellWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1167 "Reference Lstm: input and InputToCellWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1168 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputToOutputWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1169 "Reference Lstm: input and InputToOutputWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1170 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetRecurrentToForgetWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1171 "Reference Lstm: input and RecurrentToForgetWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1172 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetRecurrentToCellWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1173 "Reference Lstm: input and RecurrentToCellWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1174 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetRecurrentToOutputWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1175 "Reference Lstm: input and RecurrentToOutputWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1176 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetForgetGateBias()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1177 "Reference Lstm: input and ForgetGateBias types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1178 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellBias()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1179 "Reference Lstm: input and CellBias types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1180 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetOutputGateBias()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1181 "Reference Lstm: input and OutputGateBias types are mismatched");
1182 if (!descriptor.m_CifgEnabled)
1183 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1184 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputToInputWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1185 "Reference Lstm: input and InputToInputWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1186 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetRecurrentToInputWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1187 reasonIfUnsupported,
1188 "Reference Lstm: input and RecurrentToInputWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1189 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputGateBias()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1190 "Reference Lstm: input and InputGateBias types are mismatched");
1191 if (descriptor.m_PeepholeEnabled)
1192 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1193 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellToInputWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1194 reasonIfUnsupported,
1195 "Reference Lstm: input and CellToInputWeights types are mismatched");
1196 }
1197 }
1198 if (descriptor.m_PeepholeEnabled)
1199 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1200 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellToForgetWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1201 "Reference Lstm: input and CellToForgetWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1202 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellToOutputWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1203 "Reference Lstm: input and CellToOutputWeights types are mismatched");
1204 }
1205 if (descriptor.m_ProjectionEnabled)
1206 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1207 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetProjectionWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1208 "Reference Lstm: input and mProjectionWeights types are mismatched");
1209 if (paramsInfo.m_ProjectionBias != nullptr)
1210 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1211 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetProjectionBias()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1212 "Reference Lstm: input and ProjectionBias types are mismatched");
1213 }
1214 }
1215 if (descriptor.m_LayerNormEnabled)
1216 {
1217 if (!descriptor.m_CifgEnabled)
1218 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1219 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputLayerNormWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1220 reasonIfUnsupported,
1221 "Reference Lstm: input and InputLayerNormWeights types are mismatched");
1222 }
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1223 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetForgetLayerNormWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1224 reasonIfUnsupported,
1225 "Reference Lstm: input and ForgetLayerNormWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1226 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellLayerNormWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1227 reasonIfUnsupported,
1228 "Reference Lstm: input and CellLayerNormWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1229 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetOutputLayerNormWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1230 reasonIfUnsupported,
1231 "Reference Lstm: input and OutputLayerNormWeights types are mismatched");
1232 }
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1233
1234 return supported;
telsoa01c577f2c2018-08-31 09:22:23 +0100[diff] [blame]1235}
1236
saoste012df12b32018-11-28 16:57:20 +0000[diff] [blame]1237bool RefLayerSupport::IsMaximumSupported(const TensorInfo& input0,
1238 const TensorInfo& input1,
1239 const TensorInfo& output,
1240 Optional<std::string&> reasonIfUnsupported) const
1241{
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1242 bool supported = true;
1243
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame^]1244 std::array<DataType,7> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1245 DataType::BFloat16,
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1246 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1247 DataType::Float16,
Keith Davis67e6c542020-02-19 10:08:33 +0000[diff] [blame]1248 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1249 DataType::QAsymmU8,
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame^]1250 DataType::QSymmS16,
1251 DataType::Signed32
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1252 };
1253
1254 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
1255 "Reference maximum: input 0 is not a supported type.");
1256
1257 supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
1258 "Reference maximum: input 1 is not a supported type.");
1259
1260 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1261 "Reference maximum: output is not a supported type.");
1262
1263 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
1264 "Reference maximum: input 0 and Input 1 types are mismatched");
1265
1266 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
1267 "Reference maximum: input and output types are mismatched");
1268
1269 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
1270 "Reference maximum: shapes are not suitable for implicit broadcast.");
1271
1272 return supported;
saoste012df12b32018-11-28 16:57:20 +0000[diff] [blame]1273}
1274
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1275bool RefLayerSupport::IsMeanSupported(const TensorInfo& input,
1276 const TensorInfo& output,
1277 const MeanDescriptor& descriptor,
1278 Optional<std::string&> reasonIfUnsupported) const
narpra0132b90462018-09-13 11:07:48 +0100[diff] [blame]1279{
James Conroy4d1ff582019-06-10 17:06:39 +0100[diff] [blame]1280 bool supported = true;
1281 std::string meanLayerStr = "Mean";
1282 std::string outputTensorStr = "output";
1283
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1284 std::array<DataType,6> supportedTypes =
James Conroy4d1ff582019-06-10 17:06:39 +0100[diff] [blame]1285 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1286 DataType::BFloat16,
James Conroy4d1ff582019-06-10 17:06:39 +0100[diff] [blame]1287 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]1288 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1289 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1290 DataType::QAsymmU8,
1291 DataType::QSymmS16
James Conroy4d1ff582019-06-10 17:06:39 +0100[diff] [blame]1292 };
1293
1294 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1295 "Reference Mean: input type not supported.");
1296
1297 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1298 "Reference Mean: input and output types are mismatched");
1299
1300 if (descriptor.m_KeepDims)
1301 {
1302 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(output, input.GetNumDimensions()),
1303 reasonIfUnsupported,
1304 CreateIncorrectDimensionsErrorMsg(input.GetNumDimensions(),
1305 output.GetNumDimensions(),
1306 meanLayerStr, outputTensorStr).data());
1307 }
1308 else if (descriptor.m_Axis.empty())
1309 {
1310 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(output, 1),
1311 reasonIfUnsupported,
1312 CreateIncorrectDimensionsErrorMsg(1, output.GetNumDimensions(),
1313 meanLayerStr, outputTensorStr).data());
1314 }
1315 else
1316 {
1317 auto outputDim = input.GetNumDimensions() - boost::numeric_cast<unsigned int>(descriptor.m_Axis.size());
1318
1319 if (outputDim > 0)
1320 {
1321 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(output, outputDim),
1322 reasonIfUnsupported,
1323 CreateIncorrectDimensionsErrorMsg(outputDim, output.GetNumDimensions(),
1324 meanLayerStr, outputTensorStr).data());
1325 }
1326 else
1327 {
1328 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(output, 1),
1329 reasonIfUnsupported,
1330 CreateIncorrectDimensionsErrorMsg(1, output.GetNumDimensions(),
1331 meanLayerStr, outputTensorStr).data());
1332 }
1333 }
1334
1335 return supported;
narpra0132b90462018-09-13 11:07:48 +0100[diff] [blame]1336}
1337
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1338bool RefLayerSupport::IsMergerSupported(const std::vector<const TensorInfo*> inputs,
Nikhil Raj8599a412018-11-19 14:51:07 +0000[diff] [blame]1339 const TensorInfo& output,
Jim Flynne242f2d2019-05-22 14:24:13 +0100[diff] [blame]1340 const MergerDescriptor& descriptor,
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1341 Optional<std::string&> reasonIfUnsupported) const
1342{
Jim Flynne242f2d2019-05-22 14:24:13 +0100[diff] [blame]1343 return IsConcatSupported(inputs, output, descriptor, reasonIfUnsupported);
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1344}
1345
Matteo Martincigh992d6dc2019-01-10 17:34:20 +0000[diff] [blame]1346bool RefLayerSupport::IsMemCopySupported(const TensorInfo &input,
1347 const TensorInfo &output,
1348 Optional<std::string &> reasonIfUnsupported) const
1349{
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1350 bool supported = true;
1351
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1352 std::array<DataType,7> supportedTypes =
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1353 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1354 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1355 DataType::Float32,
1356 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1357 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1358 DataType::QAsymmU8,
1359 DataType::QSymmS16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1360 DataType::Boolean
1361 };
1362
1363 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1364 "Reference MemCopy: input type not supported");
1365
1366 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1367 "Reference MemCopy: output type not supported");
1368
1369 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1370 "Reference MemCopy: input and output types are mismatched");
1371
1372 return supported;
Matteo Martincigh992d6dc2019-01-10 17:34:20 +0000[diff] [blame]1373}
1374
Éanna Ó Catháin20e58802018-12-04 10:29:06 +0000[diff] [blame]1375bool RefLayerSupport::IsMinimumSupported(const TensorInfo& input0,
1376 const TensorInfo& input1,
1377 const TensorInfo& output,
1378 Optional<std::string&> reasonIfUnsupported) const
1379{
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1380 bool supported = true;
1381
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame^]1382 std::array<DataType,7> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1383 DataType::BFloat16,
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1384 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1385 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1386 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1387 DataType::QAsymmU8,
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame^]1388 DataType::QSymmS16,
1389 DataType::Signed32
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1390 };
1391
1392 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
1393 "Reference minimum: input 0 is not a supported type.");
1394
1395 supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
1396 "Reference minimum: input 1 is not a supported type.");
1397
1398 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1399 "Reference minimum: output is not a supported type.");
1400
1401 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
1402 "Reference minimum: input 0 and Input 1 types are mismatched");
1403
1404 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
1405 "Reference minimum: input and output types are mismatched");
1406
1407 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
1408 "Reference minimum: shapes are not suitable for implicit broadcast.");
1409
1410 return supported;
Éanna Ó Catháin20e58802018-12-04 10:29:06 +0000[diff] [blame]1411}
1412
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1413bool RefLayerSupport::IsMultiplicationSupported(const TensorInfo& input0,
1414 const TensorInfo& input1,
1415 const TensorInfo& output,
1416 Optional<std::string&> reasonIfUnsupported) const
1417{
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1418 bool supported = true;
1419
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame^]1420 std::array<DataType,7> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1421 DataType::BFloat16,
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1422 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]1423 DataType::Float16,
Keith Davis67e6c542020-02-19 10:08:33 +0000[diff] [blame]1424 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1425 DataType::QAsymmU8,
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame^]1426 DataType::QSymmS16,
1427 DataType::Signed32
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1428 };
1429
1430 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
1431 "Reference multiplication: input 0 is not a supported type.");
1432
1433 supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
1434 "Reference multiplication: input 1 is not a supported type.");
1435
1436 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1437 "Reference multiplication: output is not a supported type.");
1438
1439 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
1440 "Reference multiplication: input 0 and Input 1 types are mismatched");
1441
1442 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
1443 "Reference multiplication: input and output types are mismatched");
1444
1445 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
1446 "Reference multiplication: shapes are not suitable for implicit broadcast.");
1447
1448 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1449}
1450
1451bool RefLayerSupport::IsNormalizationSupported(const TensorInfo& input,
1452 const TensorInfo& output,
1453 const NormalizationDescriptor& descriptor,
1454 Optional<std::string&> reasonIfUnsupported) const
Nina Drozd661dfa72018-10-02 11:14:17 +0100[diff] [blame]1455{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1456 IgnoreUnused(descriptor);
Matteo Martincigh2fc70c52019-06-05 14:12:48 +0100[diff] [blame]1457
1458 // Define supported types
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1459 std::array<DataType, 6> supportedTypes =
Matteo Martincigh2fc70c52019-06-05 14:12:48 +0100[diff] [blame]1460 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1461 DataType::BFloat16,
Matteo Martincigh2fc70c52019-06-05 14:12:48 +0100[diff] [blame]1462 DataType::Float16,
1463 DataType::Float32,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1464 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1465 DataType::QAsymmU8,
1466 DataType::QSymmS16
Matteo Martincigh2fc70c52019-06-05 14:12:48 +0100[diff] [blame]1467 };
1468
1469 bool supported = true;
1470
1471 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1472 "Reference normalization: input type not supported.");
1473
1474 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1475 "Reference normalization: output type not supported.");
1476
1477 supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
1478 "Reference normalization: input and output shapes have different "
1479 "num total elements.");
1480
1481 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1482}
1483
Derek Lamberti901ea112019-12-10 22:07:09 +0000[diff] [blame]1484bool RefLayerSupport::IsOutputSupported(const TensorInfo& /*output*/,
1485 Optional<std::string&> /*reasonIfUnsupported*/) const
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1486{
Narumol Prangnawaratb6441e42019-06-04 11:22:00 +0100[diff] [blame]1487 return true;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1488}
1489
1490bool RefLayerSupport::IsPadSupported(const TensorInfo& input,
1491 const TensorInfo& output,
1492 const PadDescriptor& descriptor,
1493 Optional<std::string&> reasonIfUnsupported) const
1494{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1495 IgnoreUnused(descriptor);
Narumol Prangnawarate6eaf662019-07-08 08:57:17 +0100[diff] [blame]1496 bool supported = true;
1497
1498 // Define supported output and inputs types.
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1499 std::array<DataType,6> supportedTypes =
Narumol Prangnawarate6eaf662019-07-08 08:57:17 +0100[diff] [blame]1500 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1501 DataType::BFloat16,
Narumol Prangnawarate6eaf662019-07-08 08:57:17 +0100[diff] [blame]1502 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]1503 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1504 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1505 DataType::QAsymmU8,
1506 DataType::QSymmS16
Narumol Prangnawarate6eaf662019-07-08 08:57:17 +0100[diff] [blame]1507 };
1508
1509 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1510 "Reference pad: input is not a supported type.");
1511
1512 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1513 "Reference pad: output is not a supported type.");
1514
1515 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1516 "Reference pad: input and output types are mismatched.");
1517
1518 return supported;
Nina Drozd661dfa72018-10-02 11:14:17 +0100[diff] [blame]1519}
1520
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1521bool RefLayerSupport::IsPermuteSupported(const TensorInfo& input,
1522 const TensorInfo& output,
1523 const PermuteDescriptor& descriptor,
1524 Optional<std::string&> reasonIfUnsupported) const
1525{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1526 IgnoreUnused(descriptor);
Narumol Prangnawarat86bb4e12019-07-08 11:36:05 +0100[diff] [blame]1527 bool supported = true;
1528
1529 // Define supported output and inputs types.
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1530 std::array<DataType, 6> supportedTypes =
Narumol Prangnawarat86bb4e12019-07-08 11:36:05 +0100[diff] [blame]1531 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1532 DataType::BFloat16,
Narumol Prangnawarat86bb4e12019-07-08 11:36:05 +0100[diff] [blame]1533 DataType::Float32,
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]1534 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1535 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1536 DataType::QAsymmU8,
1537 DataType::QSymmS16
Narumol Prangnawarat86bb4e12019-07-08 11:36:05 +0100[diff] [blame]1538 };
1539
1540 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1541 "Reference permute: input is not a supported type.");
1542
1543 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1544 "Reference permute: output is not a supported type.");
1545
1546 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1547 "Reference permute: input and output types are mismatched.");
1548
1549 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1550}
1551
1552bool RefLayerSupport::IsPooling2dSupported(const TensorInfo& input,
1553 const TensorInfo& output,
1554 const Pooling2dDescriptor& descriptor,
1555 Optional<std::string&> reasonIfUnsupported) const
1556{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1557 IgnoreUnused(descriptor);
Teresa Charlina3b20472019-06-06 11:12:32 +0100[diff] [blame]1558 bool supported = true;
1559
1560 // Define supported output and inputs types.
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1561 std::array<DataType,6> supportedTypes =
Teresa Charlina3b20472019-06-06 11:12:32 +0100[diff] [blame]1562 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1563 DataType::BFloat16,
Teresa Charlina3b20472019-06-06 11:12:32 +0100[diff] [blame]1564 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]1565 DataType::Float16,
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]1566 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1567 DataType::QAsymmU8,
1568 DataType::QSymmS16
Teresa Charlina3b20472019-06-06 11:12:32 +0100[diff] [blame]1569 };
1570
1571 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1572 "Reference poolind2d: input is not a supported type.");
1573
1574 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1575 "Reference poolind2d: output is not a supported type.");
1576
1577 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1578 "Reference poolind2d: input and output types are mismatched.");
1579
1580 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1581}
1582
James Conroy4f1f8992020-04-29 20:01:10 +0100[diff] [blame]1583bool RefLayerSupport::IsQLstmSupported(const TensorInfo& input,
1584 const TensorInfo& previousOutputIn,
1585 const TensorInfo& previousCellStateIn,
1586 const TensorInfo& outputStateOut,
1587 const TensorInfo& cellStateOut,
1588 const TensorInfo& output,
1589 const QLstmDescriptor& descriptor,
1590 const LstmInputParamsInfo& paramsInfo,
1591 Optional<std::string&> reasonIfUnsupported) const
1592{
1593 IgnoreUnused(input);
1594 IgnoreUnused(previousOutputIn);
1595 IgnoreUnused(previousCellStateIn);
1596 IgnoreUnused(outputStateOut);
1597 IgnoreUnused(cellStateOut);
1598 IgnoreUnused(output);
1599 IgnoreUnused(descriptor);
1600 IgnoreUnused(paramsInfo);
1601
1602 IgnoreUnused(reasonIfUnsupported);
1603
1604 return true;
1605}
1606
Derek Lamberti5f400d62019-03-25 15:41:58 +0000[diff] [blame]1607bool RefLayerSupport::IsQuantizeSupported(const TensorInfo& input,
1608 const TensorInfo& output,
1609 Optional<std::string&> reasonIfUnsupported) const
1610{
1611 bool supported = true;
1612
Finn Williamsfd271062019-12-04 14:27:27 +0000[diff] [blame]1613 // Define supported input types.
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1614 std::array<DataType,7> supportedInputTypes = {
1615 DataType::BFloat16,
Keith Davis5e51cd82020-01-29 16:52:59 +0000[diff] [blame]1616 DataType::Float32,
Keith Davis3d8bc972020-02-04 09:31:47 +0000[diff] [blame]1617 DataType::Float16,
Ryan OShea9add1202020-02-07 10:06:33 +0000[diff] [blame]1618 DataType::QAsymmS8,
Keith Davis5e51cd82020-01-29 16:52:59 +0000[diff] [blame]1619 DataType::QAsymmU8,
1620 DataType::QSymmS8,
1621 DataType::QSymmS16
Derek Lamberti5f400d62019-03-25 15:41:58 +0000[diff] [blame]1622 };
1623
1624 supported &= CheckSupportRule(TypeAnyOf(input, supportedInputTypes), reasonIfUnsupported,
1625 "Reference quantize: input type not supported.");
1626
1627 // Define supported output types.
Ryan OShea9add1202020-02-07 10:06:33 +0000[diff] [blame]1628 std::array<DataType,4> supportedOutputTypes = {
Ryan OShea9add1202020-02-07 10:06:33 +0000[diff] [blame]1629 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1630 DataType::QAsymmU8,
Finn Williamsfd271062019-12-04 14:27:27 +0000[diff] [blame]1631 DataType::QSymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1632 DataType::QSymmS16
Derek Lamberti5f400d62019-03-25 15:41:58 +0000[diff] [blame]1633 };
1634 supported &= CheckSupportRule(TypeAnyOf(output, supportedOutputTypes), reasonIfUnsupported,
1635 "Reference quantize: output type not supported.");
1636
1637 supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
1638 "Reference quantize: input and output shapes have different num total elements.");
1639
1640 return supported;
1641}
1642
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1643bool RefLayerSupport::IsReshapeSupported(const TensorInfo& input,
Kevin Maya023c402019-12-12 17:28:05 +0000[diff] [blame]1644 const TensorInfo& output,
Matteo Martincigh992d6dc2019-01-10 17:34:20 +0000[diff] [blame]1645 const ReshapeDescriptor& descriptor,
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1646 Optional<std::string&> reasonIfUnsupported) const
1647{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1648 IgnoreUnused(output);
1649 IgnoreUnused(descriptor);
Nina Drozd2f2778f2019-05-27 10:37:05 +0100[diff] [blame]1650 // Define supported output types.
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]1651 std::array<DataType,7> supportedOutputTypes =
Nina Drozd2f2778f2019-05-27 10:37:05 +0100[diff] [blame]1652 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1653 DataType::BFloat16,
Nina Drozd2f2778f2019-05-27 10:37:05 +0100[diff] [blame]1654 DataType::Float32,
1655 DataType::Float16,
Narumol Prangnawarat0718ee92019-09-13 16:53:38 +0100[diff] [blame]1656 DataType::Signed32,
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]1657 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1658 DataType::QAsymmU8,
1659 DataType::QSymmS16
Nina Drozd2f2778f2019-05-27 10:37:05 +0100[diff] [blame]1660 };
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]1661
Nina Drozd2f2778f2019-05-27 10:37:05 +0100[diff] [blame]1662 return CheckSupportRule(TypeAnyOf(input, supportedOutputTypes), reasonIfUnsupported,
1663 "Reference reshape: input type not supported.");
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1664}
1665
1666bool RefLayerSupport::IsResizeBilinearSupported(const TensorInfo& input,
Sadik Armaganc625f002018-12-17 11:32:16 +0000[diff] [blame]1667 const TensorInfo& output,
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1668 Optional<std::string&> reasonIfUnsupported) const
1669{
Ellen Norris-Thompson3cb85f32019-06-17 11:32:49 +0100[diff] [blame]1670 bool supported = true;
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1671 std::array<DataType,6> supportedTypes =
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1672 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1673 DataType::BFloat16,
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1674 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1675 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1676 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1677 DataType::QAsymmU8,
1678 DataType::QSymmS16
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1679 };
Ellen Norris-Thompson3cb85f32019-06-17 11:32:49 +0100[diff] [blame]1680
1681 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1682 "Reference ResizeBilinear: input type not supported");
1683
1684 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1685 "Reference ResizeBilinear: output type not supported");
1686
1687 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1688 "Reference ResizeBilinear: input and output types not matching");
1689
1690 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1691}
1692
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1693bool RefLayerSupport::IsResizeSupported(const TensorInfo& input,
1694 const TensorInfo& output,
1695 const ResizeDescriptor& descriptor,
1696 Optional<std::string&> reasonIfUnsupported) const
1697{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1698 IgnoreUnused(descriptor);
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1699 bool supported = true;
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1700 std::array<DataType,6> supportedTypes =
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1701 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1702 DataType::BFloat16,
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1703 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1704 DataType::Float16,
Keith Davis67e6c542020-02-19 10:08:33 +0000[diff] [blame]1705 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1706 DataType::QAsymmU8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1707 DataType::QSymmS16
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1708 };
1709
1710 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1711 "Reference Resize: input type not supported");
1712
1713 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1714 "Reference Resize: output type not supported");
1715
1716 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1717 "Reference Resize: input and output types not matching");
1718
1719 return supported;
1720}
1721
Mohamed Nour Abouelseouda1d3c6a2018-12-27 12:39:16 +0000[diff] [blame]1722bool RefLayerSupport::IsRsqrtSupported(const TensorInfo& input,
1723 const TensorInfo& output,
1724 Optional<std::string&> reasonIfUnsupported) const
1725{
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]1726 return IsElementwiseUnarySupported(input,
1727 output,
1728 ElementwiseUnaryDescriptor(UnaryOperation::Rsqrt),
1729 reasonIfUnsupported);
Mohamed Nour Abouelseouda1d3c6a2018-12-27 12:39:16 +0000[diff] [blame]1730}
1731
Aron Virginas-Tar92b9f872019-09-17 17:27:04 +0100[diff] [blame]1732bool RefLayerSupport::IsSliceSupported(const TensorInfo& input,
1733 const TensorInfo& output,
1734 const SliceDescriptor& descriptor,
1735 Optional<std::string&> reasonIfUnsupported) const
1736{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1737 IgnoreUnused(descriptor);
Aron Virginas-Tar92b9f872019-09-17 17:27:04 +0100[diff] [blame]1738 bool supported = true;
1739
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1740 std::array<DataType, 5> supportedTypes =
Aron Virginas-Tar92b9f872019-09-17 17:27:04 +0100[diff] [blame]1741 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1742 DataType::BFloat16,
Aron Virginas-Tar92b9f872019-09-17 17:27:04 +0100[diff] [blame]1743 DataType::Float32,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1744 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1745 DataType::QAsymmU8,
1746 DataType::QSymmS16
Aron Virginas-Tar92b9f872019-09-17 17:27:04 +0100[diff] [blame]1747 };
1748
1749 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1750 "Reference Slice: input type not supported");
1751
1752 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1753 "Reference Slice: output type not supported");
1754
1755 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1756 "Reference Slice: input and output types are mismatched");
1757
1758 return supported;
1759}
1760
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1761bool RefLayerSupport::IsSoftmaxSupported(const TensorInfo& input,
1762 const TensorInfo& output,
1763 const SoftmaxDescriptor& descriptor,
1764 Optional<std::string&> reasonIfUnsupported) const
1765{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1766 IgnoreUnused(descriptor);
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1767 bool supported = true;
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1768 std::array<DataType,7> supportedTypes =
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1769 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1770 DataType::BFloat16,
1771 DataType::Float32,
1772 DataType::Float16,
1773 DataType::QSymmS8,
1774 DataType::QAsymmS8,
1775 DataType::QAsymmU8,
1776 DataType::QSymmS16
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1777 };
1778
1779 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1780 "Reference Softmax: output type not supported");
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1781
1782 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1783 "Reference Softmax: input type not supported");
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1784
1785 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1786 "Reference Softmax: input type not supported");
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1787
1788 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1789}
1790
Nattapat Chaimanowong3ea76d52018-11-09 14:10:38 +0000[diff] [blame]1791bool RefLayerSupport::IsSpaceToBatchNdSupported(const TensorInfo& input,
1792 const TensorInfo& output,
1793 const SpaceToBatchNdDescriptor& descriptor,
1794 Optional<std::string&> reasonIfUnsupported) const
1795{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1796 IgnoreUnused(descriptor);
nikraj01120522a2019-05-31 11:33:07 +0100[diff] [blame]1797 bool supported = true;
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1798 std::array<DataType,6> supportedTypes =
nikraj01120522a2019-05-31 11:33:07 +0100[diff] [blame]1799 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1800 DataType::BFloat16,
1801 DataType::Float32,
1802 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1803 DataType::QAsymmS8,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1804 DataType::QAsymmU8,
1805 DataType::QSymmS16
nikraj01120522a2019-05-31 11:33:07 +0100[diff] [blame]1806 };
1807
1808 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1809 "Reference SpaceToBatchNd: input type not supported");
1810
1811 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1812 "Reference SpaceToBatchNd: output type not supported");
1813
1814 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1815 "Reference SpaceToBatchNd: input and output types are mismatched");
1816
1817 return supported;
Nattapat Chaimanowong3ea76d52018-11-09 14:10:38 +0000[diff] [blame]1818}
1819
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1820bool RefLayerSupport::IsSpaceToDepthSupported(const TensorInfo& input,
Keith Davis51910332019-06-26 15:28:43 +0100[diff] [blame]1821 const TensorInfo& output,
1822 const SpaceToDepthDescriptor& descriptor,
1823 Optional<std::string&> reasonIfUnsupported) const
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1824{
1825
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1826 IgnoreUnused(descriptor);
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1827 bool supported = true;
1828
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1829 std::array<DataType,6> supportedTypes =
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1830 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1831 DataType::BFloat16,
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1832 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1833 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1834 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1835 DataType::QAsymmU8,
1836 DataType::QSymmS16
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1837 };
1838
1839 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1840 "Reference SpaceToDepth: input type not supported");
1841
1842 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1843 "Reference SpaceToDepth: output type not supported");
1844
1845 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1846 "Reference SpaceToDepth: input and output types are mismatched");
1847
1848 return supported;
1849}
1850
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1851bool RefLayerSupport::IsSplitterSupported(const TensorInfo& input,
1852 const ViewsDescriptor& descriptor,
1853 Optional<std::string&> reasonIfUnsupported) const
1854{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1855 IgnoreUnused(descriptor);
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1856 bool supported = true;
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1857 std::array<DataType,6> supportedTypes =
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1858 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1859 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1860 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1861 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1862 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1863 DataType::QAsymmU8,
1864 DataType::QSymmS16
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1865 };
1866
1867 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1868 "Reference splitter: input type not supported");
1869
1870 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1871}
1872
Narumol Prangnawarat15eb5832019-05-20 15:31:05 +0100[diff] [blame]1873bool RefLayerSupport::IsSplitterSupported(const TensorInfo& input,
1874 const std::vector<std::reference_wrapper<TensorInfo>>& outputs,
1875 const ViewsDescriptor& descriptor,
1876 Optional<std::string&> reasonIfUnsupported) const
1877{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1878 IgnoreUnused(descriptor);
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1879 bool supported = true;
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1880 std::array<DataType,6> supportedTypes =
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1881 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1882 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1883 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1884 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1885 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1886 DataType::QAsymmU8,
1887 DataType::QSymmS16
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1888 };
1889
1890 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1891 "Reference splitter: output type not supported");
1892 for (const TensorInfo output : outputs)
1893 {
1894 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1895 "Reference splitter: input type not supported");
1896
1897 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1898 "Reference splitter: input and output types mismatched.");
1899 }
1900
1901 return supported;
Narumol Prangnawarat15eb5832019-05-20 15:31:05 +0100[diff] [blame]1902}
1903
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]1904bool RefLayerSupport::IsStackSupported(const std::vector<const TensorInfo*>& inputs,
1905 const TensorInfo& output,
1906 const StackDescriptor& descriptor,
1907 Optional<std::string&> reasonIfUnsupported) const
1908{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1909 IgnoreUnused(descriptor);
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]1910
1911 bool supported = true;
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1912 std::array<DataType,6> supportedTypes =
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]1913 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1914 DataType::BFloat16,
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]1915 DataType::Float32,
Matthew Jacksone69c3992019-09-09 14:31:21 +0100[diff] [blame]1916 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1917 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1918 DataType::QAsymmU8,
1919 DataType::QSymmS16
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]1920 };
1921
1922 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1923 "Reference stack: output type not supported");
1924 for (const TensorInfo* input : inputs)
1925 {
Narumol Prangnawaratac2770a2020-04-01 16:51:23 +0100[diff] [blame]1926 ARMNN_ASSERT(input != nullptr);
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]1927 supported &= CheckSupportRule(TypeAnyOf(*input, supportedTypes), reasonIfUnsupported,
1928 "Reference stack: input type not supported");
1929
1930 supported &= CheckSupportRule(TypesAreEqual(*input, output), reasonIfUnsupported,
1931 "Reference stack: input and output types mismatched.");
1932 }
1933
1934 return supported;
1935}
1936
Nattapat Chaimanowong1216b582018-11-23 15:33:41 +0000[diff] [blame]1937bool RefLayerSupport::IsStridedSliceSupported(const TensorInfo& input,
1938 const TensorInfo& output,
1939 const StridedSliceDescriptor& descriptor,
1940 Optional<std::string&> reasonIfUnsupported) const
1941{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1942 IgnoreUnused(descriptor);
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1943 bool supported = true;
1944
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1945 std::array<DataType,5> supportedTypes =
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1946 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1947 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1948 DataType::Float32,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1949 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1950 DataType::QAsymmU8,
1951 DataType::QSymmS16
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1952 };
1953
1954 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1955 "Reference StridedSlice: input type not supported");
1956
1957 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1958 "Reference StridedSlice: output type not supported");
1959
1960 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1961 "Reference StridedSlice: input and output types are mismatched");
1962
1963 return supported;
Nattapat Chaimanowong1216b582018-11-23 15:33:41 +0000[diff] [blame]1964}
1965
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1966bool RefLayerSupport::IsSubtractionSupported(const TensorInfo& input0,
1967 const TensorInfo& input1,
1968 const TensorInfo& output,
1969 Optional<std::string&> reasonIfUnsupported) const
1970{
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1971 bool supported = true;
1972
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame^]1973 std::array<DataType,7> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1974 DataType::BFloat16,
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1975 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1976 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1977 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1978 DataType::QAsymmU8,
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame^]1979 DataType::QSymmS16,
1980 DataType::Signed32
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1981 };
1982
1983 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
1984 "Reference subtraction: input 0 is not a supported type.");
1985
1986 supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
1987 "Reference subtraction: input 1 is not a supported type.");
1988
1989 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1990 "Reference subtraction: output is not a supported type.");
1991
1992 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
1993 "Reference subtraction: input 0 and Input 1 types are mismatched");
1994
1995 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
1996 "Reference subtraction: input and output types are mismatched");
1997
1998 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
1999 "Reference subtraction: shapes are not suitable for implicit broadcast.");
2000
2001 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]2002}
2003
Matteo Martincighab9e5252019-06-13 17:27:46 +0100[diff] [blame]2004bool RefLayerSupport::IsPreluSupported(const TensorInfo& input,
2005 const TensorInfo& alpha,
2006 const TensorInfo& output,
2007 Optional<std::string&> reasonIfUnsupported) const
2008{
2009 bool supported = true;
2010
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2011 std::array<DataType, 6> supportedTypes
Matteo Martincighab9e5252019-06-13 17:27:46 +0100[diff] [blame]2012 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2013 DataType::BFloat16,
Matteo Martincighab9e5252019-06-13 17:27:46 +0100[diff] [blame]2014 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]2015 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2016 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]2017 DataType::QAsymmU8,
2018 DataType::QSymmS16
Matteo Martincighab9e5252019-06-13 17:27:46 +0100[diff] [blame]2019 };
2020
2021 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
2022 "PReLU: input is not a supported type.");
2023
2024 supported &= CheckSupportRule(TypeAnyOf(alpha, supportedTypes), reasonIfUnsupported,
2025 "PReLU: alpha is not a supported type.");
2026
2027 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
2028 "PReLU: output is not a supported type.");
2029
2030 supported &= CheckSupportRule(TypesAreEqual(input, alpha, output), reasonIfUnsupported,
2031 "PReLU: input, alpha and output types are mismatched");
2032
2033 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input, alpha, output), reasonIfUnsupported,
2034 "PReLU: shapes are not suitable for implicit broadcast");
2035
2036 return supported;
2037}
2038
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2039bool RefLayerSupport::IsTransposeConvolution2dSupported(const TensorInfo& input,
2040 const TensorInfo& output,
2041 const TransposeConvolution2dDescriptor& descriptor,
2042 const TensorInfo& weights,
2043 const Optional<TensorInfo>& biases,
2044 Optional<std::string&> reasonIfUnsupported) const
2045{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]2046 IgnoreUnused(descriptor);
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2047 bool supported = true;
2048
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2049 std::array<DataType,7> supportedTypes =
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2050 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2051 DataType::BFloat16,
2052 DataType::Float32,
2053 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2054 DataType::QAsymmS8,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2055 DataType::QAsymmU8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2056 DataType::QSymmS8,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2057 DataType::QSymmS16
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2058 };
2059
2060 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
2061 "Reference TransposeConvolution2d: input is not a supported type.");
2062
2063 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
2064 "Reference TransposeConvolution2d: output is not a supported type.");
2065
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2066 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
2067 "Reference TransposeConvolution2d: input and output types mismatched.");
2068
Aron Virginas-Tar94d3b932019-11-11 12:54:47 +0000[diff] [blame]2069
2070 const DataType inputType = input.GetDataType();
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2071 if (IsQuantized8BitType(inputType))
Aron Virginas-Tar94d3b932019-11-11 12:54:47 +0000[diff] [blame]2072 {
Derek Lambertid466a542020-01-22 15:37:29 +0000[diff] [blame]2073 ARMNN_NO_DEPRECATE_WARN_BEGIN
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2074 std::array<DataType, 4> supportedWeightTypes =
Aron Virginas-Tar94d3b932019-11-11 12:54:47 +0000[diff] [blame]2075 {
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2076 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]2077 DataType::QAsymmU8,
Derek Lambertid466a542020-01-22 15:37:29 +0000[diff] [blame]2078 DataType::QSymmS8,
2079 DataType::QuantizedSymm8PerAxis //Deprecated
Aron Virginas-Tar94d3b932019-11-11 12:54:47 +0000[diff] [blame]2080 };
Derek Lambertid466a542020-01-22 15:37:29 +0000[diff] [blame]2081 ARMNN_NO_DEPRECATE_WARN_END
Aron Virginas-Tar94d3b932019-11-11 12:54:47 +0000[diff] [blame]2082
2083 supported &= CheckSupportRule(TypeAnyOf(weights, supportedWeightTypes), reasonIfUnsupported,
2084 "Reference TransposeConvolution2d: weights type not supported for "
2085 "quantized input.");
2086 }
2087 else
2088 {
2089 supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,
2090 "Reference TransposeConvolution2d: weights is not a supported type.");
2091
2092 supported &= CheckSupportRule(TypesAreEqual(input, weights), reasonIfUnsupported,
2093 "Reference TransposeConvolution2d: input and weights types mismatched.");
2094 }
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2095
2096 if (biases.has_value())
2097 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2098 std::array<DataType,4> biasesSupportedTypes =
Aron Virginas-Tar651aafe2019-08-05 11:52:05 +0100[diff] [blame]2099 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2100 DataType::BFloat16,
2101 DataType::Float32,
2102 DataType::Float16,
2103 DataType::Signed32
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2104 };
2105 supported &= CheckSupportRule(TypeAnyOf(biases.value(), biasesSupportedTypes), reasonIfUnsupported,
2106 "Reference TransposeConvolution2d: biases is not a supported type.");
2107 }
2108
2109 return supported;
2110}
2111
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]2112bool RefLayerSupport::IsTransposeSupported(const TensorInfo& input,
2113 const TensorInfo& output,
2114 const TransposeDescriptor& descriptor,
2115 Optional<std::string&> reasonIfUnsupported) const
2116{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]2117 IgnoreUnused(descriptor);
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]2118 bool supported = true;
2119
2120 // Define supported output and inputs types.
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2121 std::array<DataType, 6> supportedTypes =
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]2122 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2123 DataType::BFloat16,
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]2124 DataType::Float32,
2125 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2126 DataType::QAsymmS8,
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]2127 DataType::QAsymmU8,
2128 DataType::QSymmS16
2129 };
2130
2131 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
2132 "Reference transpose: input is not a supported type.");
2133
2134 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
2135 "Reference transpose: output is not a supported type.");
2136
2137 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
2138 "Reference transpose: input and output types are mismatched.");
2139
2140 return supported;
2141}
2142
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]2143} // namespace armnn