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review.mlplatform.org / ml / armnn / 3940d8bfcaad963e95b882984a93ccd69455822a / . / src / backends / reference / RefLayerSupport.cpp
blob: 2e404f9c614f6faffed43e9fd7cac1e33729ea43 [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;
Teresa Charlin3940d8b2020-05-29 16:47:23 +0100[diff] [blame^]989 std::array<DataType,7> 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,
Teresa Charlin3940d8b2020-05-29 16:47:23 +0100[diff] [blame^]996 DataType::QSymmS16,
997 DataType::Signed32
Ellen Norris-Thompsone0dbedf2019-06-24 09:23:38 +0100[diff] [blame]998 };
999
1000 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
1001 "Reference Gather: input type not supported");
1002
1003 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1004 "Reference Gather: output type not supported");
1005
1006 supported &= CheckSupportRule(TypeIs(input1, DataType::Signed32), reasonIfUnsupported,
1007 "Reference Gather: indices (input1) type not supported");
1008
1009 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
1010 "Reference Gather: input and output types not matching");
1011
1012 return supported;
narpra014951d842019-01-18 16:53:53 +0000[diff] [blame]1013}
1014
FrancisMurtagh878f0232018-12-19 10:56:15 +0000[diff] [blame]1015bool RefLayerSupport::IsGreaterSupported(const TensorInfo& input0,
1016 const TensorInfo& input1,
1017 const TensorInfo& output,
1018 Optional<std::string&> reasonIfUnsupported) const
1019{
Aron Virginas-Tar77bfb5e2019-10-16 17:45:38 +0100[diff] [blame]1020 return IsComparisonSupported(input0,
1021 input1,
1022 output,
1023 ComparisonDescriptor(ComparisonOperation::Greater),
1024 reasonIfUnsupported);
FrancisMurtagh878f0232018-12-19 10:56:15 +0000[diff] [blame]1025}
1026
Derek Lamberti901ea112019-12-10 22:07:09 +0000[diff] [blame]1027bool RefLayerSupport::IsInputSupported(const TensorInfo& /*input*/,
1028 Optional<std::string&> /*reasonIfUnsupported*/) const
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1029{
Narumol Prangnawaratb6441e42019-06-04 11:22:00 +0100[diff] [blame]1030 return true;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1031}
1032
Kevin May09ca49c2019-10-09 12:37:34 +0100[diff] [blame]1033bool RefLayerSupport::IsInstanceNormalizationSupported(const TensorInfo& input,
1034 const TensorInfo& output,
1035 const InstanceNormalizationDescriptor& descriptor,
1036 Optional<std::string&> reasonIfUnsupported) const
1037{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1038 IgnoreUnused(descriptor);
Kevin May09ca49c2019-10-09 12:37:34 +0100[diff] [blame]1039 // Define supported types
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1040 std::array<DataType, 3> supportedTypes =
Kevin May09ca49c2019-10-09 12:37:34 +0100[diff] [blame]1041 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1042 DataType::BFloat16,
Kevin May09ca49c2019-10-09 12:37:34 +0100[diff] [blame]1043 DataType::Float32,
1044 DataType::Float16
1045 };
1046
1047 bool supported = true;
1048
1049 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1050 "Reference Instance Normalization: input type not supported.");
1051
1052 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1053 "Reference Instance Normalization: output type not supported.");
1054
1055 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1056 "Reference Instance Normalization: input and output types mismatched.");
1057
1058 supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
1059 "Reference Instance Normalization: input and output shapes have different "
1060 "num total elements.");
1061
1062 return supported;
1063}
1064
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1065bool RefLayerSupport::IsL2NormalizationSupported(const TensorInfo& input,
1066 const TensorInfo& output,
1067 const L2NormalizationDescriptor& descriptor,
1068 Optional<std::string&> reasonIfUnsupported) const
1069{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1070 IgnoreUnused(descriptor);
Ferran Balaguerd73d14f2019-06-10 10:29:54 +0100[diff] [blame]1071 // Define supported types
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1072 std::array<DataType, 6> supportedTypes =
Ferran Balaguerd73d14f2019-06-10 10:29:54 +0100[diff] [blame]1073 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1074 DataType::BFloat16,
Ferran Balaguerd73d14f2019-06-10 10:29:54 +0100[diff] [blame]1075 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]1076 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1077 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1078 DataType::QAsymmU8,
1079 DataType::QSymmS16
Ferran Balaguerd73d14f2019-06-10 10:29:54 +0100[diff] [blame]1080 };
1081
1082 bool supported = true;
1083
1084 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1085 "Reference L2normalization: input type not supported.");
1086
1087 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1088 "Reference L2normalization: output type not supported.");
1089
1090 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1091 "Reference L2normalization: input and output types mismatched.");
1092
1093 supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
1094 "Reference L2normalization: input and output shapes have different "
1095 "num total elements.");
1096
1097 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1098}
1099
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1100bool RefLayerSupport::IsLogSoftmaxSupported(const TensorInfo& input,
1101 const TensorInfo& output,
1102 const LogSoftmaxDescriptor& descriptor,
1103 Optional<std::string&> reasonIfUnsupported) const
1104{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1105 IgnoreUnused(descriptor);
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1106
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1107 std::array<DataType, 3> supportedTypes =
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1108 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1109 DataType::BFloat16,
1110 DataType::Float32,
1111 DataType::Float16
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1112 };
1113
1114 bool supported = true;
1115 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1116 "Reference LogSoftmax: input type not supported");
1117
1118 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1119 "Reference LogSoftmax: output type not supported");
1120
1121 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1122 "Reference LogSoftmax: input and output types do not match");
1123
1124 return supported;
1125}
1126
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1127bool RefLayerSupport::IsLstmSupported(const TensorInfo& input,
1128 const TensorInfo& outputStateIn,
1129 const TensorInfo& cellStateIn,
1130 const TensorInfo& scratchBuffer,
1131 const TensorInfo& outputStateOut,
1132 const TensorInfo& cellStateOut,
1133 const TensorInfo& output,
1134 const LstmDescriptor& descriptor,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1135 const LstmInputParamsInfo& paramsInfo,
1136 Optional<std::string&> reasonIfUnsupported) const
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1137{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1138 IgnoreUnused(descriptor);
1139 IgnoreUnused(paramsInfo);
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1140
1141 bool supported = true;
1142
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1143 std::array<DataType,3> supportedTypes = {
1144 DataType::BFloat16,
Conor Kennedyb9971c92019-05-07 07:14:23 +0100[diff] [blame]1145 DataType::Float32,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1146 DataType::QSymmS16
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1147 };
1148
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1149 // check inputs and outputs
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1150 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1151 "Reference Lstm: input is not a supported type.");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1152 supported &= CheckSupportRule(TypesAreEqual(input, outputStateIn), reasonIfUnsupported,
1153 "Reference Lstm: input and outputStateIn types are mismatched");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1154 supported &= CheckSupportRule(TypesAreEqual(input, cellStateIn), reasonIfUnsupported,
1155 "Reference Lstm: input and cellStateIn types are mismatched");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1156 supported &= CheckSupportRule(TypesAreEqual(input, scratchBuffer), reasonIfUnsupported,
1157 "Reference Lstm: input and scratchBuffer types are mismatched");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1158 supported &= CheckSupportRule(TypesAreEqual(input, outputStateOut), reasonIfUnsupported,
1159 "Reference Lstm: input and outputStateOut types are mismatched");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1160 supported &= CheckSupportRule(TypesAreEqual(input, cellStateOut), reasonIfUnsupported,
1161 "Reference Lstm: input and cellStateOut types are mismatched");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1162 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1163 "Reference Lstm: input and output types are mismatched");
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1164 // check layer parameters
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1165 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputToForgetWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1166 "Reference Lstm: input and InputToForgetWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1167 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputToCellWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1168 "Reference Lstm: input and InputToCellWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1169 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputToOutputWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1170 "Reference Lstm: input and InputToOutputWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1171 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetRecurrentToForgetWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1172 "Reference Lstm: input and RecurrentToForgetWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1173 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetRecurrentToCellWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1174 "Reference Lstm: input and RecurrentToCellWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1175 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetRecurrentToOutputWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1176 "Reference Lstm: input and RecurrentToOutputWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1177 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetForgetGateBias()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1178 "Reference Lstm: input and ForgetGateBias types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1179 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellBias()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1180 "Reference Lstm: input and CellBias types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1181 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetOutputGateBias()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1182 "Reference Lstm: input and OutputGateBias types are mismatched");
1183 if (!descriptor.m_CifgEnabled)
1184 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1185 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputToInputWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1186 "Reference Lstm: input and InputToInputWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1187 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetRecurrentToInputWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1188 reasonIfUnsupported,
1189 "Reference Lstm: input and RecurrentToInputWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1190 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputGateBias()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1191 "Reference Lstm: input and InputGateBias types are mismatched");
1192 if (descriptor.m_PeepholeEnabled)
1193 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1194 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellToInputWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1195 reasonIfUnsupported,
1196 "Reference Lstm: input and CellToInputWeights types are mismatched");
1197 }
1198 }
1199 if (descriptor.m_PeepholeEnabled)
1200 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1201 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellToForgetWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1202 "Reference Lstm: input and CellToForgetWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1203 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellToOutputWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1204 "Reference Lstm: input and CellToOutputWeights types are mismatched");
1205 }
1206 if (descriptor.m_ProjectionEnabled)
1207 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1208 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetProjectionWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1209 "Reference Lstm: input and mProjectionWeights types are mismatched");
1210 if (paramsInfo.m_ProjectionBias != nullptr)
1211 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1212 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetProjectionBias()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1213 "Reference Lstm: input and ProjectionBias types are mismatched");
1214 }
1215 }
1216 if (descriptor.m_LayerNormEnabled)
1217 {
1218 if (!descriptor.m_CifgEnabled)
1219 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1220 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputLayerNormWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1221 reasonIfUnsupported,
1222 "Reference Lstm: input and InputLayerNormWeights types are mismatched");
1223 }
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1224 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetForgetLayerNormWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1225 reasonIfUnsupported,
1226 "Reference Lstm: input and ForgetLayerNormWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1227 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellLayerNormWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1228 reasonIfUnsupported,
1229 "Reference Lstm: input and CellLayerNormWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1230 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetOutputLayerNormWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1231 reasonIfUnsupported,
1232 "Reference Lstm: input and OutputLayerNormWeights types are mismatched");
1233 }
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1234
1235 return supported;
telsoa01c577f2c2018-08-31 09:22:23 +0100[diff] [blame]1236}
1237
saoste012df12b32018-11-28 16:57:20 +0000[diff] [blame]1238bool RefLayerSupport::IsMaximumSupported(const TensorInfo& input0,
1239 const TensorInfo& input1,
1240 const TensorInfo& output,
1241 Optional<std::string&> reasonIfUnsupported) const
1242{
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1243 bool supported = true;
1244
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]1245 std::array<DataType,7> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1246 DataType::BFloat16,
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1247 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1248 DataType::Float16,
Keith Davis67e6c542020-02-19 10:08:33 +0000[diff] [blame]1249 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1250 DataType::QAsymmU8,
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]1251 DataType::QSymmS16,
1252 DataType::Signed32
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1253 };
1254
1255 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
1256 "Reference maximum: input 0 is not a supported type.");
1257
1258 supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
1259 "Reference maximum: input 1 is not a supported type.");
1260
1261 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1262 "Reference maximum: output is not a supported type.");
1263
1264 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
1265 "Reference maximum: input 0 and Input 1 types are mismatched");
1266
1267 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
1268 "Reference maximum: input and output types are mismatched");
1269
1270 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
1271 "Reference maximum: shapes are not suitable for implicit broadcast.");
1272
1273 return supported;
saoste012df12b32018-11-28 16:57:20 +0000[diff] [blame]1274}
1275
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1276bool RefLayerSupport::IsMeanSupported(const TensorInfo& input,
1277 const TensorInfo& output,
1278 const MeanDescriptor& descriptor,
1279 Optional<std::string&> reasonIfUnsupported) const
narpra0132b90462018-09-13 11:07:48 +0100[diff] [blame]1280{
James Conroy4d1ff582019-06-10 17:06:39 +0100[diff] [blame]1281 bool supported = true;
1282 std::string meanLayerStr = "Mean";
1283 std::string outputTensorStr = "output";
1284
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1285 std::array<DataType,6> supportedTypes =
James Conroy4d1ff582019-06-10 17:06:39 +0100[diff] [blame]1286 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1287 DataType::BFloat16,
James Conroy4d1ff582019-06-10 17:06:39 +0100[diff] [blame]1288 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]1289 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1290 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1291 DataType::QAsymmU8,
1292 DataType::QSymmS16
James Conroy4d1ff582019-06-10 17:06:39 +0100[diff] [blame]1293 };
1294
1295 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1296 "Reference Mean: input type not supported.");
1297
1298 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1299 "Reference Mean: input and output types are mismatched");
1300
1301 if (descriptor.m_KeepDims)
1302 {
1303 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(output, input.GetNumDimensions()),
1304 reasonIfUnsupported,
1305 CreateIncorrectDimensionsErrorMsg(input.GetNumDimensions(),
1306 output.GetNumDimensions(),
1307 meanLayerStr, outputTensorStr).data());
1308 }
1309 else if (descriptor.m_Axis.empty())
1310 {
1311 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(output, 1),
1312 reasonIfUnsupported,
1313 CreateIncorrectDimensionsErrorMsg(1, output.GetNumDimensions(),
1314 meanLayerStr, outputTensorStr).data());
1315 }
1316 else
1317 {
1318 auto outputDim = input.GetNumDimensions() - boost::numeric_cast<unsigned int>(descriptor.m_Axis.size());
1319
1320 if (outputDim > 0)
1321 {
1322 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(output, outputDim),
1323 reasonIfUnsupported,
1324 CreateIncorrectDimensionsErrorMsg(outputDim, output.GetNumDimensions(),
1325 meanLayerStr, outputTensorStr).data());
1326 }
1327 else
1328 {
1329 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(output, 1),
1330 reasonIfUnsupported,
1331 CreateIncorrectDimensionsErrorMsg(1, output.GetNumDimensions(),
1332 meanLayerStr, outputTensorStr).data());
1333 }
1334 }
1335
1336 return supported;
narpra0132b90462018-09-13 11:07:48 +0100[diff] [blame]1337}
1338
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1339bool RefLayerSupport::IsMergerSupported(const std::vector<const TensorInfo*> inputs,
Nikhil Raj8599a412018-11-19 14:51:07 +0000[diff] [blame]1340 const TensorInfo& output,
Jim Flynne242f2d2019-05-22 14:24:13 +0100[diff] [blame]1341 const MergerDescriptor& descriptor,
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1342 Optional<std::string&> reasonIfUnsupported) const
1343{
Jim Flynne242f2d2019-05-22 14:24:13 +0100[diff] [blame]1344 return IsConcatSupported(inputs, output, descriptor, reasonIfUnsupported);
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1345}
1346
Matteo Martincigh992d6dc2019-01-10 17:34:20 +0000[diff] [blame]1347bool RefLayerSupport::IsMemCopySupported(const TensorInfo &input,
1348 const TensorInfo &output,
1349 Optional<std::string &> reasonIfUnsupported) const
1350{
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1351 bool supported = true;
1352
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1353 std::array<DataType,7> supportedTypes =
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1354 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1355 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1356 DataType::Float32,
1357 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1358 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1359 DataType::QAsymmU8,
1360 DataType::QSymmS16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1361 DataType::Boolean
1362 };
1363
1364 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1365 "Reference MemCopy: input type not supported");
1366
1367 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1368 "Reference MemCopy: output type not supported");
1369
1370 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1371 "Reference MemCopy: input and output types are mismatched");
1372
1373 return supported;
Matteo Martincigh992d6dc2019-01-10 17:34:20 +0000[diff] [blame]1374}
1375
Éanna Ó Catháin20e58802018-12-04 10:29:06 +0000[diff] [blame]1376bool RefLayerSupport::IsMinimumSupported(const TensorInfo& input0,
1377 const TensorInfo& input1,
1378 const TensorInfo& output,
1379 Optional<std::string&> reasonIfUnsupported) const
1380{
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1381 bool supported = true;
1382
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]1383 std::array<DataType,7> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1384 DataType::BFloat16,
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1385 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1386 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1387 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1388 DataType::QAsymmU8,
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]1389 DataType::QSymmS16,
1390 DataType::Signed32
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1391 };
1392
1393 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
1394 "Reference minimum: input 0 is not a supported type.");
1395
1396 supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
1397 "Reference minimum: input 1 is not a supported type.");
1398
1399 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1400 "Reference minimum: output is not a supported type.");
1401
1402 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
1403 "Reference minimum: input 0 and Input 1 types are mismatched");
1404
1405 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
1406 "Reference minimum: input and output types are mismatched");
1407
1408 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
1409 "Reference minimum: shapes are not suitable for implicit broadcast.");
1410
1411 return supported;
Éanna Ó Catháin20e58802018-12-04 10:29:06 +0000[diff] [blame]1412}
1413
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1414bool RefLayerSupport::IsMultiplicationSupported(const TensorInfo& input0,
1415 const TensorInfo& input1,
1416 const TensorInfo& output,
1417 Optional<std::string&> reasonIfUnsupported) const
1418{
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1419 bool supported = true;
1420
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]1421 std::array<DataType,7> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1422 DataType::BFloat16,
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1423 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]1424 DataType::Float16,
Keith Davis67e6c542020-02-19 10:08:33 +0000[diff] [blame]1425 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1426 DataType::QAsymmU8,
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]1427 DataType::QSymmS16,
1428 DataType::Signed32
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1429 };
1430
1431 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
1432 "Reference multiplication: input 0 is not a supported type.");
1433
1434 supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
1435 "Reference multiplication: input 1 is not a supported type.");
1436
1437 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1438 "Reference multiplication: output is not a supported type.");
1439
1440 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
1441 "Reference multiplication: input 0 and Input 1 types are mismatched");
1442
1443 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
1444 "Reference multiplication: input and output types are mismatched");
1445
1446 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
1447 "Reference multiplication: shapes are not suitable for implicit broadcast.");
1448
1449 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1450}
1451
1452bool RefLayerSupport::IsNormalizationSupported(const TensorInfo& input,
1453 const TensorInfo& output,
1454 const NormalizationDescriptor& descriptor,
1455 Optional<std::string&> reasonIfUnsupported) const
Nina Drozd661dfa72018-10-02 11:14:17 +0100[diff] [blame]1456{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1457 IgnoreUnused(descriptor);
Matteo Martincigh2fc70c52019-06-05 14:12:48 +0100[diff] [blame]1458
1459 // Define supported types
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1460 std::array<DataType, 6> supportedTypes =
Matteo Martincigh2fc70c52019-06-05 14:12:48 +0100[diff] [blame]1461 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1462 DataType::BFloat16,
Matteo Martincigh2fc70c52019-06-05 14:12:48 +0100[diff] [blame]1463 DataType::Float16,
1464 DataType::Float32,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1465 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1466 DataType::QAsymmU8,
1467 DataType::QSymmS16
Matteo Martincigh2fc70c52019-06-05 14:12:48 +0100[diff] [blame]1468 };
1469
1470 bool supported = true;
1471
1472 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1473 "Reference normalization: input type not supported.");
1474
1475 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1476 "Reference normalization: output type not supported.");
1477
1478 supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
1479 "Reference normalization: input and output shapes have different "
1480 "num total elements.");
1481
1482 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1483}
1484
Derek Lamberti901ea112019-12-10 22:07:09 +0000[diff] [blame]1485bool RefLayerSupport::IsOutputSupported(const TensorInfo& /*output*/,
1486 Optional<std::string&> /*reasonIfUnsupported*/) const
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1487{
Narumol Prangnawaratb6441e42019-06-04 11:22:00 +0100[diff] [blame]1488 return true;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1489}
1490
1491bool RefLayerSupport::IsPadSupported(const TensorInfo& input,
1492 const TensorInfo& output,
1493 const PadDescriptor& descriptor,
1494 Optional<std::string&> reasonIfUnsupported) const
1495{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1496 IgnoreUnused(descriptor);
Narumol Prangnawarate6eaf662019-07-08 08:57:17 +0100[diff] [blame]1497 bool supported = true;
1498
1499 // Define supported output and inputs types.
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1500 std::array<DataType,6> supportedTypes =
Narumol Prangnawarate6eaf662019-07-08 08:57:17 +0100[diff] [blame]1501 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1502 DataType::BFloat16,
Narumol Prangnawarate6eaf662019-07-08 08:57:17 +0100[diff] [blame]1503 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]1504 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1505 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1506 DataType::QAsymmU8,
1507 DataType::QSymmS16
Narumol Prangnawarate6eaf662019-07-08 08:57:17 +0100[diff] [blame]1508 };
1509
1510 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1511 "Reference pad: input is not a supported type.");
1512
1513 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1514 "Reference pad: output is not a supported type.");
1515
1516 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1517 "Reference pad: input and output types are mismatched.");
1518
1519 return supported;
Nina Drozd661dfa72018-10-02 11:14:17 +0100[diff] [blame]1520}
1521
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1522bool RefLayerSupport::IsPermuteSupported(const TensorInfo& input,
1523 const TensorInfo& output,
1524 const PermuteDescriptor& descriptor,
1525 Optional<std::string&> reasonIfUnsupported) const
1526{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1527 IgnoreUnused(descriptor);
Narumol Prangnawarat86bb4e12019-07-08 11:36:05 +0100[diff] [blame]1528 bool supported = true;
1529
1530 // Define supported output and inputs types.
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1531 std::array<DataType, 6> supportedTypes =
Narumol Prangnawarat86bb4e12019-07-08 11:36:05 +0100[diff] [blame]1532 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1533 DataType::BFloat16,
Narumol Prangnawarat86bb4e12019-07-08 11:36:05 +0100[diff] [blame]1534 DataType::Float32,
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]1535 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1536 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1537 DataType::QAsymmU8,
1538 DataType::QSymmS16
Narumol Prangnawarat86bb4e12019-07-08 11:36:05 +0100[diff] [blame]1539 };
1540
1541 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1542 "Reference permute: input is not a supported type.");
1543
1544 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1545 "Reference permute: output is not a supported type.");
1546
1547 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1548 "Reference permute: input and output types are mismatched.");
1549
1550 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1551}
1552
1553bool RefLayerSupport::IsPooling2dSupported(const TensorInfo& input,
1554 const TensorInfo& output,
1555 const Pooling2dDescriptor& descriptor,
1556 Optional<std::string&> reasonIfUnsupported) const
1557{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1558 IgnoreUnused(descriptor);
Teresa Charlina3b20472019-06-06 11:12:32 +0100[diff] [blame]1559 bool supported = true;
1560
1561 // Define supported output and inputs types.
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1562 std::array<DataType,6> supportedTypes =
Teresa Charlina3b20472019-06-06 11:12:32 +0100[diff] [blame]1563 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1564 DataType::BFloat16,
Teresa Charlina3b20472019-06-06 11:12:32 +0100[diff] [blame]1565 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]1566 DataType::Float16,
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]1567 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1568 DataType::QAsymmU8,
1569 DataType::QSymmS16
Teresa Charlina3b20472019-06-06 11:12:32 +0100[diff] [blame]1570 };
1571
1572 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1573 "Reference poolind2d: input is not a supported type.");
1574
1575 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1576 "Reference poolind2d: output is not a supported type.");
1577
1578 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1579 "Reference poolind2d: input and output types are mismatched.");
1580
1581 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1582}
1583
James Conroy4f1f8992020-04-29 20:01:10 +0100[diff] [blame]1584bool RefLayerSupport::IsQLstmSupported(const TensorInfo& input,
1585 const TensorInfo& previousOutputIn,
1586 const TensorInfo& previousCellStateIn,
1587 const TensorInfo& outputStateOut,
1588 const TensorInfo& cellStateOut,
1589 const TensorInfo& output,
1590 const QLstmDescriptor& descriptor,
1591 const LstmInputParamsInfo& paramsInfo,
1592 Optional<std::string&> reasonIfUnsupported) const
1593{
1594 IgnoreUnused(input);
1595 IgnoreUnused(previousOutputIn);
1596 IgnoreUnused(previousCellStateIn);
1597 IgnoreUnused(outputStateOut);
1598 IgnoreUnused(cellStateOut);
1599 IgnoreUnused(output);
1600 IgnoreUnused(descriptor);
1601 IgnoreUnused(paramsInfo);
1602
1603 IgnoreUnused(reasonIfUnsupported);
1604
1605 return true;
1606}
1607
Derek Lamberti5f400d62019-03-25 15:41:58 +0000[diff] [blame]1608bool RefLayerSupport::IsQuantizeSupported(const TensorInfo& input,
1609 const TensorInfo& output,
1610 Optional<std::string&> reasonIfUnsupported) const
1611{
1612 bool supported = true;
1613
Finn Williamsfd271062019-12-04 14:27:27 +0000[diff] [blame]1614 // Define supported input types.
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1615 std::array<DataType,7> supportedInputTypes = {
1616 DataType::BFloat16,
Keith Davis5e51cd82020-01-29 16:52:59 +0000[diff] [blame]1617 DataType::Float32,
Keith Davis3d8bc972020-02-04 09:31:47 +0000[diff] [blame]1618 DataType::Float16,
Ryan OShea9add1202020-02-07 10:06:33 +0000[diff] [blame]1619 DataType::QAsymmS8,
Keith Davis5e51cd82020-01-29 16:52:59 +0000[diff] [blame]1620 DataType::QAsymmU8,
1621 DataType::QSymmS8,
1622 DataType::QSymmS16
Derek Lamberti5f400d62019-03-25 15:41:58 +0000[diff] [blame]1623 };
1624
1625 supported &= CheckSupportRule(TypeAnyOf(input, supportedInputTypes), reasonIfUnsupported,
1626 "Reference quantize: input type not supported.");
1627
1628 // Define supported output types.
Ryan OShea9add1202020-02-07 10:06:33 +0000[diff] [blame]1629 std::array<DataType,4> supportedOutputTypes = {
Ryan OShea9add1202020-02-07 10:06:33 +0000[diff] [blame]1630 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1631 DataType::QAsymmU8,
Finn Williamsfd271062019-12-04 14:27:27 +0000[diff] [blame]1632 DataType::QSymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1633 DataType::QSymmS16
Derek Lamberti5f400d62019-03-25 15:41:58 +0000[diff] [blame]1634 };
1635 supported &= CheckSupportRule(TypeAnyOf(output, supportedOutputTypes), reasonIfUnsupported,
1636 "Reference quantize: output type not supported.");
1637
1638 supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
1639 "Reference quantize: input and output shapes have different num total elements.");
1640
1641 return supported;
1642}
1643
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1644bool RefLayerSupport::IsReshapeSupported(const TensorInfo& input,
Kevin Maya023c402019-12-12 17:28:05 +0000[diff] [blame]1645 const TensorInfo& output,
Matteo Martincigh992d6dc2019-01-10 17:34:20 +0000[diff] [blame]1646 const ReshapeDescriptor& descriptor,
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1647 Optional<std::string&> reasonIfUnsupported) const
1648{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1649 IgnoreUnused(output);
1650 IgnoreUnused(descriptor);
Nina Drozd2f2778f2019-05-27 10:37:05 +0100[diff] [blame]1651 // Define supported output types.
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]1652 std::array<DataType,7> supportedOutputTypes =
Nina Drozd2f2778f2019-05-27 10:37:05 +0100[diff] [blame]1653 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1654 DataType::BFloat16,
Nina Drozd2f2778f2019-05-27 10:37:05 +0100[diff] [blame]1655 DataType::Float32,
1656 DataType::Float16,
Narumol Prangnawarat0718ee92019-09-13 16:53:38 +0100[diff] [blame]1657 DataType::Signed32,
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]1658 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1659 DataType::QAsymmU8,
1660 DataType::QSymmS16
Nina Drozd2f2778f2019-05-27 10:37:05 +0100[diff] [blame]1661 };
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]1662
Nina Drozd2f2778f2019-05-27 10:37:05 +0100[diff] [blame]1663 return CheckSupportRule(TypeAnyOf(input, supportedOutputTypes), reasonIfUnsupported,
1664 "Reference reshape: input type not supported.");
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1665}
1666
1667bool RefLayerSupport::IsResizeBilinearSupported(const TensorInfo& input,
Sadik Armaganc625f002018-12-17 11:32:16 +0000[diff] [blame]1668 const TensorInfo& output,
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1669 Optional<std::string&> reasonIfUnsupported) const
1670{
Ellen Norris-Thompson3cb85f32019-06-17 11:32:49 +0100[diff] [blame]1671 bool supported = true;
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1672 std::array<DataType,6> supportedTypes =
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1673 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1674 DataType::BFloat16,
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1675 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1676 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1677 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1678 DataType::QAsymmU8,
1679 DataType::QSymmS16
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1680 };
Ellen Norris-Thompson3cb85f32019-06-17 11:32:49 +0100[diff] [blame]1681
1682 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1683 "Reference ResizeBilinear: input type not supported");
1684
1685 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1686 "Reference ResizeBilinear: output type not supported");
1687
1688 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1689 "Reference ResizeBilinear: input and output types not matching");
1690
1691 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1692}
1693
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1694bool RefLayerSupport::IsResizeSupported(const TensorInfo& input,
1695 const TensorInfo& output,
1696 const ResizeDescriptor& descriptor,
1697 Optional<std::string&> reasonIfUnsupported) const
1698{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1699 IgnoreUnused(descriptor);
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1700 bool supported = true;
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1701 std::array<DataType,6> supportedTypes =
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1702 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1703 DataType::BFloat16,
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1704 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1705 DataType::Float16,
Keith Davis67e6c542020-02-19 10:08:33 +0000[diff] [blame]1706 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1707 DataType::QAsymmU8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1708 DataType::QSymmS16
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1709 };
1710
1711 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1712 "Reference Resize: input type not supported");
1713
1714 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1715 "Reference Resize: output type not supported");
1716
1717 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1718 "Reference Resize: input and output types not matching");
1719
1720 return supported;
1721}
1722
Mohamed Nour Abouelseouda1d3c6a2018-12-27 12:39:16 +0000[diff] [blame]1723bool RefLayerSupport::IsRsqrtSupported(const TensorInfo& input,
1724 const TensorInfo& output,
1725 Optional<std::string&> reasonIfUnsupported) const
1726{
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]1727 return IsElementwiseUnarySupported(input,
1728 output,
1729 ElementwiseUnaryDescriptor(UnaryOperation::Rsqrt),
1730 reasonIfUnsupported);
Mohamed Nour Abouelseouda1d3c6a2018-12-27 12:39:16 +0000[diff] [blame]1731}
1732
Aron Virginas-Tar92b9f872019-09-17 17:27:04 +0100[diff] [blame]1733bool RefLayerSupport::IsSliceSupported(const TensorInfo& input,
1734 const TensorInfo& output,
1735 const SliceDescriptor& descriptor,
1736 Optional<std::string&> reasonIfUnsupported) const
1737{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1738 IgnoreUnused(descriptor);
Aron Virginas-Tar92b9f872019-09-17 17:27:04 +0100[diff] [blame]1739 bool supported = true;
1740
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1741 std::array<DataType, 5> supportedTypes =
Aron Virginas-Tar92b9f872019-09-17 17:27:04 +0100[diff] [blame]1742 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1743 DataType::BFloat16,
Aron Virginas-Tar92b9f872019-09-17 17:27:04 +0100[diff] [blame]1744 DataType::Float32,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1745 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1746 DataType::QAsymmU8,
1747 DataType::QSymmS16
Aron Virginas-Tar92b9f872019-09-17 17:27:04 +0100[diff] [blame]1748 };
1749
1750 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1751 "Reference Slice: input type not supported");
1752
1753 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1754 "Reference Slice: output type not supported");
1755
1756 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1757 "Reference Slice: input and output types are mismatched");
1758
1759 return supported;
1760}
1761
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1762bool RefLayerSupport::IsSoftmaxSupported(const TensorInfo& input,
1763 const TensorInfo& output,
1764 const SoftmaxDescriptor& descriptor,
1765 Optional<std::string&> reasonIfUnsupported) const
1766{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1767 IgnoreUnused(descriptor);
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1768 bool supported = true;
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1769 std::array<DataType,7> supportedTypes =
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1770 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1771 DataType::BFloat16,
1772 DataType::Float32,
1773 DataType::Float16,
1774 DataType::QSymmS8,
1775 DataType::QAsymmS8,
1776 DataType::QAsymmU8,
1777 DataType::QSymmS16
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1778 };
1779
1780 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1781 "Reference Softmax: output type not supported");
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1782
1783 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1784 "Reference Softmax: input type not supported");
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1785
1786 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1787 "Reference Softmax: input type not supported");
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1788
1789 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1790}
1791
Nattapat Chaimanowong3ea76d52018-11-09 14:10:38 +0000[diff] [blame]1792bool RefLayerSupport::IsSpaceToBatchNdSupported(const TensorInfo& input,
1793 const TensorInfo& output,
1794 const SpaceToBatchNdDescriptor& descriptor,
1795 Optional<std::string&> reasonIfUnsupported) const
1796{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1797 IgnoreUnused(descriptor);
nikraj01120522a2019-05-31 11:33:07 +0100[diff] [blame]1798 bool supported = true;
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1799 std::array<DataType,6> supportedTypes =
nikraj01120522a2019-05-31 11:33:07 +0100[diff] [blame]1800 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1801 DataType::BFloat16,
1802 DataType::Float32,
1803 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1804 DataType::QAsymmS8,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1805 DataType::QAsymmU8,
1806 DataType::QSymmS16
nikraj01120522a2019-05-31 11:33:07 +0100[diff] [blame]1807 };
1808
1809 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1810 "Reference SpaceToBatchNd: input type not supported");
1811
1812 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1813 "Reference SpaceToBatchNd: output type not supported");
1814
1815 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1816 "Reference SpaceToBatchNd: input and output types are mismatched");
1817
1818 return supported;
Nattapat Chaimanowong3ea76d52018-11-09 14:10:38 +0000[diff] [blame]1819}
1820
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1821bool RefLayerSupport::IsSpaceToDepthSupported(const TensorInfo& input,
Keith Davis51910332019-06-26 15:28:43 +0100[diff] [blame]1822 const TensorInfo& output,
1823 const SpaceToDepthDescriptor& descriptor,
1824 Optional<std::string&> reasonIfUnsupported) const
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1825{
1826
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1827 IgnoreUnused(descriptor);
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1828 bool supported = true;
1829
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1830 std::array<DataType,6> supportedTypes =
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1831 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1832 DataType::BFloat16,
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1833 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1834 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1835 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1836 DataType::QAsymmU8,
1837 DataType::QSymmS16
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1838 };
1839
1840 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1841 "Reference SpaceToDepth: input type not supported");
1842
1843 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1844 "Reference SpaceToDepth: output type not supported");
1845
1846 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1847 "Reference SpaceToDepth: input and output types are mismatched");
1848
1849 return supported;
1850}
1851
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1852bool RefLayerSupport::IsSplitterSupported(const TensorInfo& input,
1853 const ViewsDescriptor& descriptor,
1854 Optional<std::string&> reasonIfUnsupported) const
1855{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1856 IgnoreUnused(descriptor);
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1857 bool supported = true;
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1858 std::array<DataType,6> supportedTypes =
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1859 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1860 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1861 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1862 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1863 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1864 DataType::QAsymmU8,
1865 DataType::QSymmS16
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1866 };
1867
1868 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1869 "Reference splitter: input type not supported");
1870
1871 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1872}
1873
Narumol Prangnawarat15eb5832019-05-20 15:31:05 +0100[diff] [blame]1874bool RefLayerSupport::IsSplitterSupported(const TensorInfo& input,
1875 const std::vector<std::reference_wrapper<TensorInfo>>& outputs,
1876 const ViewsDescriptor& descriptor,
1877 Optional<std::string&> reasonIfUnsupported) const
1878{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1879 IgnoreUnused(descriptor);
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1880 bool supported = true;
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1881 std::array<DataType,6> supportedTypes =
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1882 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1883 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1884 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1885 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1886 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1887 DataType::QAsymmU8,
1888 DataType::QSymmS16
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1889 };
1890
1891 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1892 "Reference splitter: output type not supported");
1893 for (const TensorInfo output : outputs)
1894 {
1895 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1896 "Reference splitter: input type not supported");
1897
1898 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1899 "Reference splitter: input and output types mismatched.");
1900 }
1901
1902 return supported;
Narumol Prangnawarat15eb5832019-05-20 15:31:05 +0100[diff] [blame]1903}
1904
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]1905bool RefLayerSupport::IsStackSupported(const std::vector<const TensorInfo*>& inputs,
1906 const TensorInfo& output,
1907 const StackDescriptor& descriptor,
1908 Optional<std::string&> reasonIfUnsupported) const
1909{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1910 IgnoreUnused(descriptor);
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]1911
1912 bool supported = true;
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1913 std::array<DataType,6> supportedTypes =
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]1914 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1915 DataType::BFloat16,
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]1916 DataType::Float32,
Matthew Jacksone69c3992019-09-09 14:31:21 +0100[diff] [blame]1917 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1918 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1919 DataType::QAsymmU8,
1920 DataType::QSymmS16
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]1921 };
1922
1923 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1924 "Reference stack: output type not supported");
1925 for (const TensorInfo* input : inputs)
1926 {
Narumol Prangnawaratac2770a2020-04-01 16:51:23 +0100[diff] [blame]1927 ARMNN_ASSERT(input != nullptr);
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]1928 supported &= CheckSupportRule(TypeAnyOf(*input, supportedTypes), reasonIfUnsupported,
1929 "Reference stack: input type not supported");
1930
1931 supported &= CheckSupportRule(TypesAreEqual(*input, output), reasonIfUnsupported,
1932 "Reference stack: input and output types mismatched.");
1933 }
1934
1935 return supported;
1936}
1937
Nattapat Chaimanowong1216b582018-11-23 15:33:41 +0000[diff] [blame]1938bool RefLayerSupport::IsStridedSliceSupported(const TensorInfo& input,
1939 const TensorInfo& output,
1940 const StridedSliceDescriptor& descriptor,
1941 Optional<std::string&> reasonIfUnsupported) const
1942{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1943 IgnoreUnused(descriptor);
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1944 bool supported = true;
1945
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1946 std::array<DataType,5> supportedTypes =
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1947 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1948 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1949 DataType::Float32,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1950 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1951 DataType::QAsymmU8,
1952 DataType::QSymmS16
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1953 };
1954
1955 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1956 "Reference StridedSlice: input type not supported");
1957
1958 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1959 "Reference StridedSlice: output type not supported");
1960
1961 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1962 "Reference StridedSlice: input and output types are mismatched");
1963
1964 return supported;
Nattapat Chaimanowong1216b582018-11-23 15:33:41 +0000[diff] [blame]1965}
1966
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1967bool RefLayerSupport::IsSubtractionSupported(const TensorInfo& input0,
1968 const TensorInfo& input1,
1969 const TensorInfo& output,
1970 Optional<std::string&> reasonIfUnsupported) const
1971{
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1972 bool supported = true;
1973
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]1974 std::array<DataType,7> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1975 DataType::BFloat16,
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1976 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1977 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1978 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1979 DataType::QAsymmU8,
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]1980 DataType::QSymmS16,
1981 DataType::Signed32
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1982 };
1983
1984 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
1985 "Reference subtraction: input 0 is not a supported type.");
1986
1987 supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
1988 "Reference subtraction: input 1 is not a supported type.");
1989
1990 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1991 "Reference subtraction: output is not a supported type.");
1992
1993 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
1994 "Reference subtraction: input 0 and Input 1 types are mismatched");
1995
1996 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
1997 "Reference subtraction: input and output types are mismatched");
1998
1999 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
2000 "Reference subtraction: shapes are not suitable for implicit broadcast.");
2001
2002 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]2003}
2004
Matteo Martincighab9e5252019-06-13 17:27:46 +0100[diff] [blame]2005bool RefLayerSupport::IsPreluSupported(const TensorInfo& input,
2006 const TensorInfo& alpha,
2007 const TensorInfo& output,
2008 Optional<std::string&> reasonIfUnsupported) const
2009{
2010 bool supported = true;
2011
Teresa Charlin3940d8b2020-05-29 16:47:23 +0100[diff] [blame^]2012 std::array<DataType, 6> supportedTypes
Matteo Martincighab9e5252019-06-13 17:27:46 +0100[diff] [blame]2013 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2014 DataType::BFloat16,
Matteo Martincighab9e5252019-06-13 17:27:46 +0100[diff] [blame]2015 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]2016 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2017 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]2018 DataType::QAsymmU8,
Teresa Charlin3940d8b2020-05-29 16:47:23 +0100[diff] [blame^]2019 DataType::QSymmS16
Matteo Martincighab9e5252019-06-13 17:27:46 +0100[diff] [blame]2020 };
2021
2022 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
2023 "PReLU: input is not a supported type.");
2024
2025 supported &= CheckSupportRule(TypeAnyOf(alpha, supportedTypes), reasonIfUnsupported,
2026 "PReLU: alpha is not a supported type.");
2027
2028 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
2029 "PReLU: output is not a supported type.");
2030
2031 supported &= CheckSupportRule(TypesAreEqual(input, alpha, output), reasonIfUnsupported,
2032 "PReLU: input, alpha and output types are mismatched");
2033
2034 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input, alpha, output), reasonIfUnsupported,
2035 "PReLU: shapes are not suitable for implicit broadcast");
2036
2037 return supported;
2038}
2039
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2040bool RefLayerSupport::IsTransposeConvolution2dSupported(const TensorInfo& input,
2041 const TensorInfo& output,
2042 const TransposeConvolution2dDescriptor& descriptor,
2043 const TensorInfo& weights,
2044 const Optional<TensorInfo>& biases,
2045 Optional<std::string&> reasonIfUnsupported) const
2046{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]2047 IgnoreUnused(descriptor);
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2048 bool supported = true;
2049
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2050 std::array<DataType,7> supportedTypes =
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2051 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2052 DataType::BFloat16,
2053 DataType::Float32,
2054 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2055 DataType::QAsymmS8,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2056 DataType::QAsymmU8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2057 DataType::QSymmS8,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2058 DataType::QSymmS16
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2059 };
2060
2061 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
2062 "Reference TransposeConvolution2d: input is not a supported type.");
2063
2064 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
2065 "Reference TransposeConvolution2d: output is not a supported type.");
2066
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2067 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
2068 "Reference TransposeConvolution2d: input and output types mismatched.");
2069
Aron Virginas-Tar94d3b932019-11-11 12:54:47 +0000[diff] [blame]2070
2071 const DataType inputType = input.GetDataType();
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2072 if (IsQuantized8BitType(inputType))
Aron Virginas-Tar94d3b932019-11-11 12:54:47 +0000[diff] [blame]2073 {
Derek Lambertid466a542020-01-22 15:37:29 +0000[diff] [blame]2074 ARMNN_NO_DEPRECATE_WARN_BEGIN
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2075 std::array<DataType, 4> supportedWeightTypes =
Aron Virginas-Tar94d3b932019-11-11 12:54:47 +0000[diff] [blame]2076 {
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2077 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]2078 DataType::QAsymmU8,
Derek Lambertid466a542020-01-22 15:37:29 +0000[diff] [blame]2079 DataType::QSymmS8,
2080 DataType::QuantizedSymm8PerAxis //Deprecated
Aron Virginas-Tar94d3b932019-11-11 12:54:47 +0000[diff] [blame]2081 };
Derek Lambertid466a542020-01-22 15:37:29 +0000[diff] [blame]2082 ARMNN_NO_DEPRECATE_WARN_END
Aron Virginas-Tar94d3b932019-11-11 12:54:47 +0000[diff] [blame]2083
2084 supported &= CheckSupportRule(TypeAnyOf(weights, supportedWeightTypes), reasonIfUnsupported,
2085 "Reference TransposeConvolution2d: weights type not supported for "
2086 "quantized input.");
2087 }
2088 else
2089 {
2090 supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,
2091 "Reference TransposeConvolution2d: weights is not a supported type.");
2092
2093 supported &= CheckSupportRule(TypesAreEqual(input, weights), reasonIfUnsupported,
2094 "Reference TransposeConvolution2d: input and weights types mismatched.");
2095 }
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2096
2097 if (biases.has_value())
2098 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2099 std::array<DataType,4> biasesSupportedTypes =
Aron Virginas-Tar651aafe2019-08-05 11:52:05 +0100[diff] [blame]2100 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2101 DataType::BFloat16,
2102 DataType::Float32,
2103 DataType::Float16,
2104 DataType::Signed32
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2105 };
2106 supported &= CheckSupportRule(TypeAnyOf(biases.value(), biasesSupportedTypes), reasonIfUnsupported,
2107 "Reference TransposeConvolution2d: biases is not a supported type.");
2108 }
2109
2110 return supported;
2111}
2112
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]2113bool RefLayerSupport::IsTransposeSupported(const TensorInfo& input,
2114 const TensorInfo& output,
2115 const TransposeDescriptor& descriptor,
2116 Optional<std::string&> reasonIfUnsupported) const
2117{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]2118 IgnoreUnused(descriptor);
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]2119 bool supported = true;
2120
2121 // Define supported output and inputs types.
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2122 std::array<DataType, 6> supportedTypes =
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]2123 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2124 DataType::BFloat16,
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]2125 DataType::Float32,
2126 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2127 DataType::QAsymmS8,
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]2128 DataType::QAsymmU8,
2129 DataType::QSymmS16
2130 };
2131
2132 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
2133 "Reference transpose: input is not a supported type.");
2134
2135 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
2136 "Reference transpose: output is not a supported type.");
2137
2138 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
2139 "Reference transpose: input and output types are mismatched.");
2140
2141 return supported;
2142}
2143
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]2144} // namespace armnn