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review.mlplatform.org / ml / armnn / 4408850bd426481e39ae9182aff4d563b6836181 / . / src / backends / reference / RefLayerSupport.cpp
blob: 1886d3253ba85aa3f89feb32855cf50045cb0eec [file] [log] [blame]
telsoa014fcda012018-03-09 14:13:49 +0000[diff] [blame]1//
Teresa Charlin52664732020-06-29 16:27:03 +0100[diff] [blame]2// Copyright © 2017 Arm Ltd and Contributors. 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
Ryan OSheaf4bfa6a2020-06-10 11:33:37 +0100[diff] [blame]860bool RefLayerSupport::IsFillSupported(const TensorInfo& input,
861 const TensorInfo& output,
862 const FillDescriptor& descriptor,
863 Optional<std::string&> reasonIfUnsupported) const
864{
865 IgnoreUnused(descriptor);
866 IgnoreUnused(output);
867
868 bool supported = true;
869
Sadik Armagana792a052020-06-23 16:22:23 +0100[diff] [blame]870 std::array<DataType,3> supportedTypes =
Ryan OSheaf4bfa6a2020-06-10 11:33:37 +0100[diff] [blame]871 {
872 DataType::Float32,
Sadik Armagana792a052020-06-23 16:22:23 +0100[diff] [blame]873 DataType::Float16,
874 DataType::Signed32
Ryan OSheaf4bfa6a2020-06-10 11:33:37 +0100[diff] [blame]875 };
876
877 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
878 "Reference Fill: input type not supported.");
879
Teresa Charlin44088502020-07-27 11:27:19 +0100[diff] [blame^]880 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
881 "Reference Fill: output type not supported.");
Ryan OSheaf4bfa6a2020-06-10 11:33:37 +0100[diff] [blame]882 return supported;
883}
884
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]885bool RefLayerSupport::IsFloorSupported(const TensorInfo& input,
886 const TensorInfo& output,
887 Optional<std::string&> reasonIfUnsupported) const
888{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]889 IgnoreUnused(output);
James Conroy83735b12019-05-30 16:36:59 +0100[diff] [blame]890 bool supported = true;
891
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]892 std::array<DataType,4> supportedTypes =
James Conroy83735b12019-05-30 16:36:59 +0100[diff] [blame]893 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]894 DataType::BFloat16,
James Conroyb40d7102019-06-04 12:32:09 +0100[diff] [blame]895 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]896 DataType::Float16,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]897 DataType::QSymmS16
James Conroy83735b12019-05-30 16:36:59 +0100[diff] [blame]898 };
899
900 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
901 "Reference Floor: input type not supported.");
902
903 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
904 "Reference Floor: output type not supported.");
905
906 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]907}
908
909bool RefLayerSupport::IsFullyConnectedSupported(const TensorInfo& input,
910 const TensorInfo& output,
911 const TensorInfo& weights,
912 const TensorInfo& biases,
913 const FullyConnectedDescriptor& descriptor,
914 Optional<std::string&> reasonIfUnsupported) const
915{
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]916 bool supported = true;
917
918 // Define supported types.
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]919 std::array<DataType,6> supportedTypes =
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]920 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]921 DataType::BFloat16,
922 DataType::Float32,
923 DataType::Float16,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]924 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]925 DataType::QAsymmU8,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]926 DataType::QSymmS16
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]927 };
928
929 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
930 "Reference Fully Connected: input type not supported.");
931
932 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
933 "Reference Fully Connected: output type not supported.");
934
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]935 supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,
936 "Reference Fully Connected: weights type not supported.");
937
Narumol Prangnawarat57ef0082020-03-26 09:20:43 +0000[diff] [blame]938 // For FullyConnected, we allow to have BFloat16 input with Float32 output for optimization.
939 if (input.GetDataType() == DataType::BFloat16)
940 {
941 if (output.GetDataType() != DataType::BFloat16 && output.GetDataType() != DataType::Float32)
942 {
943 reasonIfUnsupported.value() += "Output tensor type must be BFloat16 or Float32 for BFloat16 input.\n";
944 supported = false;
945 }
946 }
947 else
948 {
949 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
950 "Reference Fully Connected: input and output types mismatched.");
951 }
952
Jan Eilers1f45dc32020-06-15 11:43:03 +0100[diff] [blame]953 supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,
954 "Reference Fully Connected: weights is not a supported type.");
Francis Murtaghddb1d062020-03-10 13:51:45 +0000[diff] [blame]955
Jan Eilers1f45dc32020-06-15 11:43:03 +0100[diff] [blame]956 supported &= CheckSupportRule(TypesAreEqual(input, weights), reasonIfUnsupported,
957 "Reference Fully Connected: input and weights types mismatched.");
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]958
959 if (descriptor.m_BiasEnabled)
960 {
961 // Defined supported types for bias
Sadik Armagandb73c982020-04-01 17:35:30 +0100[diff] [blame]962 std::array<DataType, 5>
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]963 supportedBiasTypes =
964 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]965 DataType::BFloat16,
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]966 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]967 DataType::Float16,
Sadik Armagandb73c982020-04-01 17:35:30 +0100[diff] [blame]968 DataType::Signed32,
969 DataType::QAsymmS8
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]970 };
971
972 supported &= CheckSupportRule(TypeAnyOf(biases, supportedBiasTypes), reasonIfUnsupported,
973 "Reference Fully Connected: bias type not supported.");
974
975 supported &= CheckSupportRule(BiasAndWeightsTypesMatch(biases, weights), reasonIfUnsupported,
976 "Reference Fully Connected: bias and weight types mismatch.");
977
978 supported &= CheckSupportRule(BiasAndWeightsTypesCompatible(weights, supportedBiasTypes), reasonIfUnsupported,
979 "Reference Fully Connected: bias type inferred from weights is incompatible.");
980
Narumol Prangnawarat366d7232020-04-29 12:58:17 +0100[diff] [blame]981 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(biases, 1U), reasonIfUnsupported,
982 "Reference Fully Connected: bias must have 1 dimension.");
983
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]984 }
985
986 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]987}
988
narpra014951d842019-01-18 16:53:53 +0000[diff] [blame]989bool RefLayerSupport::IsGatherSupported(const armnn::TensorInfo& input0,
990 const armnn::TensorInfo& input1,
991 const armnn::TensorInfo& output,
Teresa Charlin52664732020-06-29 16:27:03 +0100[diff] [blame]992 const GatherDescriptor& descriptor,
narpra014951d842019-01-18 16:53:53 +0000[diff] [blame]993 armnn::Optional<std::string&> reasonIfUnsupported) const
994{
Ellen Norris-Thompsone0dbedf2019-06-24 09:23:38 +0100[diff] [blame]995 bool supported = true;
Teresa Charlin3940d8b2020-05-29 16:47:23 +0100[diff] [blame]996 std::array<DataType,7> supportedTypes =
Ellen Norris-Thompsone0dbedf2019-06-24 09:23:38 +0100[diff] [blame]997 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]998 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]999 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1000 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1001 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1002 DataType::QAsymmU8,
Teresa Charlin3940d8b2020-05-29 16:47:23 +0100[diff] [blame]1003 DataType::QSymmS16,
1004 DataType::Signed32
Ellen Norris-Thompsone0dbedf2019-06-24 09:23:38 +0100[diff] [blame]1005 };
1006
Teresa Charlin52664732020-06-29 16:27:03 +0100[diff] [blame]1007 if (descriptor.m_Axis != 0)
1008 {
1009 reasonIfUnsupported.value() += std::string("Reference Gather: axis not supported\n");
1010 supported &= false;
1011 }
Ellen Norris-Thompsone0dbedf2019-06-24 09:23:38 +0100[diff] [blame]1012 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
1013 "Reference Gather: input type not supported");
1014
1015 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1016 "Reference Gather: output type not supported");
1017
1018 supported &= CheckSupportRule(TypeIs(input1, DataType::Signed32), reasonIfUnsupported,
1019 "Reference Gather: indices (input1) type not supported");
1020
1021 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
1022 "Reference Gather: input and output types not matching");
1023
1024 return supported;
narpra014951d842019-01-18 16:53:53 +0000[diff] [blame]1025}
1026
FrancisMurtagh878f0232018-12-19 10:56:15 +0000[diff] [blame]1027bool RefLayerSupport::IsGreaterSupported(const TensorInfo& input0,
1028 const TensorInfo& input1,
1029 const TensorInfo& output,
1030 Optional<std::string&> reasonIfUnsupported) const
1031{
Aron Virginas-Tar77bfb5e2019-10-16 17:45:38 +0100[diff] [blame]1032 return IsComparisonSupported(input0,
1033 input1,
1034 output,
1035 ComparisonDescriptor(ComparisonOperation::Greater),
1036 reasonIfUnsupported);
FrancisMurtagh878f0232018-12-19 10:56:15 +0000[diff] [blame]1037}
1038
Derek Lamberti901ea112019-12-10 22:07:09 +0000[diff] [blame]1039bool RefLayerSupport::IsInputSupported(const TensorInfo& /*input*/,
1040 Optional<std::string&> /*reasonIfUnsupported*/) const
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1041{
Narumol Prangnawaratb6441e42019-06-04 11:22:00 +0100[diff] [blame]1042 return true;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1043}
1044
Kevin May09ca49c2019-10-09 12:37:34 +0100[diff] [blame]1045bool RefLayerSupport::IsInstanceNormalizationSupported(const TensorInfo& input,
1046 const TensorInfo& output,
1047 const InstanceNormalizationDescriptor& descriptor,
1048 Optional<std::string&> reasonIfUnsupported) const
1049{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1050 IgnoreUnused(descriptor);
Kevin May09ca49c2019-10-09 12:37:34 +0100[diff] [blame]1051 // Define supported types
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1052 std::array<DataType, 3> supportedTypes =
Kevin May09ca49c2019-10-09 12:37:34 +0100[diff] [blame]1053 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1054 DataType::BFloat16,
Kevin May09ca49c2019-10-09 12:37:34 +0100[diff] [blame]1055 DataType::Float32,
1056 DataType::Float16
1057 };
1058
1059 bool supported = true;
1060
1061 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1062 "Reference Instance Normalization: input type not supported.");
1063
1064 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1065 "Reference Instance Normalization: output type not supported.");
1066
1067 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1068 "Reference Instance Normalization: input and output types mismatched.");
1069
1070 supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
1071 "Reference Instance Normalization: input and output shapes have different "
1072 "num total elements.");
1073
1074 return supported;
1075}
1076
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1077bool RefLayerSupport::IsL2NormalizationSupported(const TensorInfo& input,
1078 const TensorInfo& output,
1079 const L2NormalizationDescriptor& descriptor,
1080 Optional<std::string&> reasonIfUnsupported) const
1081{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1082 IgnoreUnused(descriptor);
Ferran Balaguerd73d14f2019-06-10 10:29:54 +0100[diff] [blame]1083 // Define supported types
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1084 std::array<DataType, 6> supportedTypes =
Ferran Balaguerd73d14f2019-06-10 10:29:54 +0100[diff] [blame]1085 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1086 DataType::BFloat16,
Ferran Balaguerd73d14f2019-06-10 10:29:54 +0100[diff] [blame]1087 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]1088 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1089 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1090 DataType::QAsymmU8,
1091 DataType::QSymmS16
Ferran Balaguerd73d14f2019-06-10 10:29:54 +0100[diff] [blame]1092 };
1093
1094 bool supported = true;
1095
1096 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1097 "Reference L2normalization: input type not supported.");
1098
1099 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1100 "Reference L2normalization: output type not supported.");
1101
1102 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1103 "Reference L2normalization: input and output types mismatched.");
1104
1105 supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
1106 "Reference L2normalization: input and output shapes have different "
1107 "num total elements.");
1108
1109 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1110}
1111
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1112bool RefLayerSupport::IsLogSoftmaxSupported(const TensorInfo& input,
1113 const TensorInfo& output,
1114 const LogSoftmaxDescriptor& descriptor,
1115 Optional<std::string&> reasonIfUnsupported) const
1116{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1117 IgnoreUnused(descriptor);
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1118
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1119 std::array<DataType, 3> supportedTypes =
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1120 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1121 DataType::BFloat16,
1122 DataType::Float32,
1123 DataType::Float16
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1124 };
1125
1126 bool supported = true;
1127 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1128 "Reference LogSoftmax: input type not supported");
1129
1130 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1131 "Reference LogSoftmax: output type not supported");
1132
1133 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1134 "Reference LogSoftmax: input and output types do not match");
1135
1136 return supported;
1137}
1138
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1139bool RefLayerSupport::IsLstmSupported(const TensorInfo& input,
1140 const TensorInfo& outputStateIn,
1141 const TensorInfo& cellStateIn,
1142 const TensorInfo& scratchBuffer,
1143 const TensorInfo& outputStateOut,
1144 const TensorInfo& cellStateOut,
1145 const TensorInfo& output,
1146 const LstmDescriptor& descriptor,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1147 const LstmInputParamsInfo& paramsInfo,
1148 Optional<std::string&> reasonIfUnsupported) const
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1149{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1150 IgnoreUnused(descriptor);
1151 IgnoreUnused(paramsInfo);
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1152
1153 bool supported = true;
1154
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1155 std::array<DataType,3> supportedTypes = {
1156 DataType::BFloat16,
Conor Kennedyb9971c92019-05-07 07:14:23 +0100[diff] [blame]1157 DataType::Float32,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1158 DataType::QSymmS16
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1159 };
1160
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1161 // check inputs and outputs
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1162 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1163 "Reference Lstm: input is not a supported type.");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1164 supported &= CheckSupportRule(TypesAreEqual(input, outputStateIn), reasonIfUnsupported,
1165 "Reference Lstm: input and outputStateIn types are mismatched");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1166 supported &= CheckSupportRule(TypesAreEqual(input, cellStateIn), reasonIfUnsupported,
1167 "Reference Lstm: input and cellStateIn types are mismatched");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1168 supported &= CheckSupportRule(TypesAreEqual(input, scratchBuffer), reasonIfUnsupported,
1169 "Reference Lstm: input and scratchBuffer types are mismatched");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1170 supported &= CheckSupportRule(TypesAreEqual(input, outputStateOut), reasonIfUnsupported,
1171 "Reference Lstm: input and outputStateOut types are mismatched");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1172 supported &= CheckSupportRule(TypesAreEqual(input, cellStateOut), reasonIfUnsupported,
1173 "Reference Lstm: input and cellStateOut types are mismatched");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1174 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1175 "Reference Lstm: input and output types are mismatched");
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1176 // check layer parameters
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1177 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputToForgetWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1178 "Reference Lstm: input and InputToForgetWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1179 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputToCellWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1180 "Reference Lstm: input and InputToCellWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1181 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputToOutputWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1182 "Reference Lstm: input and InputToOutputWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1183 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetRecurrentToForgetWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1184 "Reference Lstm: input and RecurrentToForgetWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1185 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetRecurrentToCellWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1186 "Reference Lstm: input and RecurrentToCellWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1187 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetRecurrentToOutputWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1188 "Reference Lstm: input and RecurrentToOutputWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1189 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetForgetGateBias()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1190 "Reference Lstm: input and ForgetGateBias types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1191 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellBias()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1192 "Reference Lstm: input and CellBias types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1193 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetOutputGateBias()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1194 "Reference Lstm: input and OutputGateBias types are mismatched");
1195 if (!descriptor.m_CifgEnabled)
1196 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1197 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputToInputWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1198 "Reference Lstm: input and InputToInputWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1199 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetRecurrentToInputWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1200 reasonIfUnsupported,
1201 "Reference Lstm: input and RecurrentToInputWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1202 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputGateBias()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1203 "Reference Lstm: input and InputGateBias types are mismatched");
1204 if (descriptor.m_PeepholeEnabled)
1205 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1206 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellToInputWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1207 reasonIfUnsupported,
1208 "Reference Lstm: input and CellToInputWeights types are mismatched");
1209 }
1210 }
1211 if (descriptor.m_PeepholeEnabled)
1212 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1213 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellToForgetWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1214 "Reference Lstm: input and CellToForgetWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1215 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellToOutputWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1216 "Reference Lstm: input and CellToOutputWeights types are mismatched");
1217 }
1218 if (descriptor.m_ProjectionEnabled)
1219 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1220 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetProjectionWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1221 "Reference Lstm: input and mProjectionWeights types are mismatched");
1222 if (paramsInfo.m_ProjectionBias != nullptr)
1223 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1224 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetProjectionBias()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1225 "Reference Lstm: input and ProjectionBias types are mismatched");
1226 }
1227 }
1228 if (descriptor.m_LayerNormEnabled)
1229 {
1230 if (!descriptor.m_CifgEnabled)
1231 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1232 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputLayerNormWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1233 reasonIfUnsupported,
1234 "Reference Lstm: input and InputLayerNormWeights types are mismatched");
1235 }
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1236 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetForgetLayerNormWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1237 reasonIfUnsupported,
1238 "Reference Lstm: input and ForgetLayerNormWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1239 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellLayerNormWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1240 reasonIfUnsupported,
1241 "Reference Lstm: input and CellLayerNormWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1242 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetOutputLayerNormWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1243 reasonIfUnsupported,
1244 "Reference Lstm: input and OutputLayerNormWeights types are mismatched");
1245 }
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1246
1247 return supported;
telsoa01c577f2c2018-08-31 09:22:23 +0100[diff] [blame]1248}
1249
saoste012df12b32018-11-28 16:57:20 +0000[diff] [blame]1250bool RefLayerSupport::IsMaximumSupported(const TensorInfo& input0,
1251 const TensorInfo& input1,
1252 const TensorInfo& output,
1253 Optional<std::string&> reasonIfUnsupported) const
1254{
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1255 bool supported = true;
1256
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]1257 std::array<DataType,7> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1258 DataType::BFloat16,
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1259 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1260 DataType::Float16,
Keith Davis67e6c542020-02-19 10:08:33 +0000[diff] [blame]1261 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1262 DataType::QAsymmU8,
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]1263 DataType::QSymmS16,
1264 DataType::Signed32
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1265 };
1266
1267 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
1268 "Reference maximum: input 0 is not a supported type.");
1269
1270 supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
1271 "Reference maximum: input 1 is not a supported type.");
1272
1273 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1274 "Reference maximum: output is not a supported type.");
1275
1276 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
1277 "Reference maximum: input 0 and Input 1 types are mismatched");
1278
1279 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
1280 "Reference maximum: input and output types are mismatched");
1281
1282 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
1283 "Reference maximum: shapes are not suitable for implicit broadcast.");
1284
1285 return supported;
saoste012df12b32018-11-28 16:57:20 +0000[diff] [blame]1286}
1287
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1288bool RefLayerSupport::IsMeanSupported(const TensorInfo& input,
1289 const TensorInfo& output,
1290 const MeanDescriptor& descriptor,
1291 Optional<std::string&> reasonIfUnsupported) const
narpra0132b90462018-09-13 11:07:48 +0100[diff] [blame]1292{
James Conroy4d1ff582019-06-10 17:06:39 +0100[diff] [blame]1293 bool supported = true;
1294 std::string meanLayerStr = "Mean";
1295 std::string outputTensorStr = "output";
1296
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1297 std::array<DataType,6> supportedTypes =
James Conroy4d1ff582019-06-10 17:06:39 +0100[diff] [blame]1298 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1299 DataType::BFloat16,
James Conroy4d1ff582019-06-10 17:06:39 +0100[diff] [blame]1300 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]1301 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1302 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1303 DataType::QAsymmU8,
1304 DataType::QSymmS16
James Conroy4d1ff582019-06-10 17:06:39 +0100[diff] [blame]1305 };
1306
1307 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1308 "Reference Mean: input type not supported.");
1309
1310 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1311 "Reference Mean: input and output types are mismatched");
1312
1313 if (descriptor.m_KeepDims)
1314 {
1315 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(output, input.GetNumDimensions()),
1316 reasonIfUnsupported,
1317 CreateIncorrectDimensionsErrorMsg(input.GetNumDimensions(),
1318 output.GetNumDimensions(),
1319 meanLayerStr, outputTensorStr).data());
1320 }
1321 else if (descriptor.m_Axis.empty())
1322 {
1323 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(output, 1),
1324 reasonIfUnsupported,
1325 CreateIncorrectDimensionsErrorMsg(1, output.GetNumDimensions(),
1326 meanLayerStr, outputTensorStr).data());
1327 }
1328 else
1329 {
1330 auto outputDim = input.GetNumDimensions() - boost::numeric_cast<unsigned int>(descriptor.m_Axis.size());
1331
1332 if (outputDim > 0)
1333 {
1334 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(output, outputDim),
1335 reasonIfUnsupported,
1336 CreateIncorrectDimensionsErrorMsg(outputDim, output.GetNumDimensions(),
1337 meanLayerStr, outputTensorStr).data());
1338 }
1339 else
1340 {
1341 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(output, 1),
1342 reasonIfUnsupported,
1343 CreateIncorrectDimensionsErrorMsg(1, output.GetNumDimensions(),
1344 meanLayerStr, outputTensorStr).data());
1345 }
1346 }
1347
1348 return supported;
narpra0132b90462018-09-13 11:07:48 +0100[diff] [blame]1349}
1350
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1351bool RefLayerSupport::IsMergerSupported(const std::vector<const TensorInfo*> inputs,
Nikhil Raj8599a412018-11-19 14:51:07 +0000[diff] [blame]1352 const TensorInfo& output,
Jim Flynne242f2d2019-05-22 14:24:13 +0100[diff] [blame]1353 const MergerDescriptor& descriptor,
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1354 Optional<std::string&> reasonIfUnsupported) const
1355{
Jim Flynne242f2d2019-05-22 14:24:13 +0100[diff] [blame]1356 return IsConcatSupported(inputs, output, descriptor, reasonIfUnsupported);
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1357}
1358
Matteo Martincigh992d6dc2019-01-10 17:34:20 +0000[diff] [blame]1359bool RefLayerSupport::IsMemCopySupported(const TensorInfo &input,
1360 const TensorInfo &output,
1361 Optional<std::string &> reasonIfUnsupported) const
1362{
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1363 bool supported = true;
1364
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1365 std::array<DataType,7> supportedTypes =
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1366 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1367 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1368 DataType::Float32,
1369 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1370 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1371 DataType::QAsymmU8,
1372 DataType::QSymmS16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1373 DataType::Boolean
1374 };
1375
1376 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1377 "Reference MemCopy: input type not supported");
1378
1379 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1380 "Reference MemCopy: output type not supported");
1381
1382 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1383 "Reference MemCopy: input and output types are mismatched");
1384
1385 return supported;
Matteo Martincigh992d6dc2019-01-10 17:34:20 +0000[diff] [blame]1386}
1387
Éanna Ó Catháin20e58802018-12-04 10:29:06 +0000[diff] [blame]1388bool RefLayerSupport::IsMinimumSupported(const TensorInfo& input0,
1389 const TensorInfo& input1,
1390 const TensorInfo& output,
1391 Optional<std::string&> reasonIfUnsupported) const
1392{
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1393 bool supported = true;
1394
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]1395 std::array<DataType,7> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1396 DataType::BFloat16,
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1397 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1398 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1399 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1400 DataType::QAsymmU8,
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]1401 DataType::QSymmS16,
1402 DataType::Signed32
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1403 };
1404
1405 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
1406 "Reference minimum: input 0 is not a supported type.");
1407
1408 supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
1409 "Reference minimum: input 1 is not a supported type.");
1410
1411 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1412 "Reference minimum: output is not a supported type.");
1413
1414 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
1415 "Reference minimum: input 0 and Input 1 types are mismatched");
1416
1417 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
1418 "Reference minimum: input and output types are mismatched");
1419
1420 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
1421 "Reference minimum: shapes are not suitable for implicit broadcast.");
1422
1423 return supported;
Éanna Ó Catháin20e58802018-12-04 10:29:06 +0000[diff] [blame]1424}
1425
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1426bool RefLayerSupport::IsMultiplicationSupported(const TensorInfo& input0,
1427 const TensorInfo& input1,
1428 const TensorInfo& output,
1429 Optional<std::string&> reasonIfUnsupported) const
1430{
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1431 bool supported = true;
1432
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]1433 std::array<DataType,7> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1434 DataType::BFloat16,
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1435 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]1436 DataType::Float16,
Keith Davis67e6c542020-02-19 10:08:33 +0000[diff] [blame]1437 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1438 DataType::QAsymmU8,
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]1439 DataType::QSymmS16,
1440 DataType::Signed32
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1441 };
1442
1443 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
1444 "Reference multiplication: input 0 is not a supported type.");
1445
1446 supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
1447 "Reference multiplication: input 1 is not a supported type.");
1448
1449 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1450 "Reference multiplication: output is not a supported type.");
1451
1452 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
1453 "Reference multiplication: input 0 and Input 1 types are mismatched");
1454
1455 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
1456 "Reference multiplication: input and output types are mismatched");
1457
1458 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
1459 "Reference multiplication: shapes are not suitable for implicit broadcast.");
1460
1461 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1462}
1463
1464bool RefLayerSupport::IsNormalizationSupported(const TensorInfo& input,
1465 const TensorInfo& output,
1466 const NormalizationDescriptor& descriptor,
1467 Optional<std::string&> reasonIfUnsupported) const
Nina Drozd661dfa72018-10-02 11:14:17 +0100[diff] [blame]1468{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1469 IgnoreUnused(descriptor);
Matteo Martincigh2fc70c52019-06-05 14:12:48 +0100[diff] [blame]1470
1471 // Define supported types
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1472 std::array<DataType, 6> supportedTypes =
Matteo Martincigh2fc70c52019-06-05 14:12:48 +0100[diff] [blame]1473 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1474 DataType::BFloat16,
Matteo Martincigh2fc70c52019-06-05 14:12:48 +0100[diff] [blame]1475 DataType::Float16,
1476 DataType::Float32,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1477 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1478 DataType::QAsymmU8,
1479 DataType::QSymmS16
Matteo Martincigh2fc70c52019-06-05 14:12:48 +0100[diff] [blame]1480 };
1481
1482 bool supported = true;
1483
1484 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1485 "Reference normalization: input type not supported.");
1486
1487 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1488 "Reference normalization: output type not supported.");
1489
1490 supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
1491 "Reference normalization: input and output shapes have different "
1492 "num total elements.");
1493
1494 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1495}
1496
Derek Lamberti901ea112019-12-10 22:07:09 +0000[diff] [blame]1497bool RefLayerSupport::IsOutputSupported(const TensorInfo& /*output*/,
1498 Optional<std::string&> /*reasonIfUnsupported*/) const
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1499{
Narumol Prangnawaratb6441e42019-06-04 11:22:00 +0100[diff] [blame]1500 return true;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1501}
1502
1503bool RefLayerSupport::IsPadSupported(const TensorInfo& input,
1504 const TensorInfo& output,
1505 const PadDescriptor& descriptor,
1506 Optional<std::string&> reasonIfUnsupported) const
1507{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1508 IgnoreUnused(descriptor);
Narumol Prangnawarate6eaf662019-07-08 08:57:17 +0100[diff] [blame]1509 bool supported = true;
1510
1511 // Define supported output and inputs types.
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1512 std::array<DataType,6> supportedTypes =
Narumol Prangnawarate6eaf662019-07-08 08:57:17 +0100[diff] [blame]1513 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1514 DataType::BFloat16,
Narumol Prangnawarate6eaf662019-07-08 08:57:17 +0100[diff] [blame]1515 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]1516 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1517 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1518 DataType::QAsymmU8,
1519 DataType::QSymmS16
Narumol Prangnawarate6eaf662019-07-08 08:57:17 +0100[diff] [blame]1520 };
1521
1522 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1523 "Reference pad: input is not a supported type.");
1524
1525 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1526 "Reference pad: output is not a supported type.");
1527
1528 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1529 "Reference pad: input and output types are mismatched.");
1530
1531 return supported;
Nina Drozd661dfa72018-10-02 11:14:17 +0100[diff] [blame]1532}
1533
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1534bool RefLayerSupport::IsPermuteSupported(const TensorInfo& input,
1535 const TensorInfo& output,
1536 const PermuteDescriptor& descriptor,
1537 Optional<std::string&> reasonIfUnsupported) const
1538{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1539 IgnoreUnused(descriptor);
Narumol Prangnawarat86bb4e12019-07-08 11:36:05 +0100[diff] [blame]1540 bool supported = true;
1541
1542 // Define supported output and inputs types.
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1543 std::array<DataType, 6> supportedTypes =
Narumol Prangnawarat86bb4e12019-07-08 11:36:05 +0100[diff] [blame]1544 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1545 DataType::BFloat16,
Narumol Prangnawarat86bb4e12019-07-08 11:36:05 +0100[diff] [blame]1546 DataType::Float32,
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]1547 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1548 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1549 DataType::QAsymmU8,
1550 DataType::QSymmS16
Narumol Prangnawarat86bb4e12019-07-08 11:36:05 +0100[diff] [blame]1551 };
1552
1553 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1554 "Reference permute: input is not a supported type.");
1555
1556 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1557 "Reference permute: output is not a supported type.");
1558
1559 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1560 "Reference permute: input and output types are mismatched.");
1561
1562 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1563}
1564
1565bool RefLayerSupport::IsPooling2dSupported(const TensorInfo& input,
1566 const TensorInfo& output,
1567 const Pooling2dDescriptor& descriptor,
1568 Optional<std::string&> reasonIfUnsupported) const
1569{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1570 IgnoreUnused(descriptor);
Teresa Charlina3b20472019-06-06 11:12:32 +0100[diff] [blame]1571 bool supported = true;
1572
1573 // Define supported output and inputs types.
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1574 std::array<DataType,6> supportedTypes =
Teresa Charlina3b20472019-06-06 11:12:32 +0100[diff] [blame]1575 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1576 DataType::BFloat16,
Teresa Charlina3b20472019-06-06 11:12:32 +0100[diff] [blame]1577 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]1578 DataType::Float16,
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]1579 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1580 DataType::QAsymmU8,
1581 DataType::QSymmS16
Teresa Charlina3b20472019-06-06 11:12:32 +0100[diff] [blame]1582 };
1583
1584 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1585 "Reference poolind2d: input is not a supported type.");
1586
1587 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1588 "Reference poolind2d: output is not a supported type.");
1589
1590 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1591 "Reference poolind2d: input and output types are mismatched.");
1592
1593 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1594}
1595
James Conroy4f1f8992020-04-29 20:01:10 +0100[diff] [blame]1596bool RefLayerSupport::IsQLstmSupported(const TensorInfo& input,
1597 const TensorInfo& previousOutputIn,
1598 const TensorInfo& previousCellStateIn,
1599 const TensorInfo& outputStateOut,
1600 const TensorInfo& cellStateOut,
1601 const TensorInfo& output,
1602 const QLstmDescriptor& descriptor,
1603 const LstmInputParamsInfo& paramsInfo,
1604 Optional<std::string&> reasonIfUnsupported) const
1605{
1606 IgnoreUnused(input);
1607 IgnoreUnused(previousOutputIn);
1608 IgnoreUnused(previousCellStateIn);
1609 IgnoreUnused(outputStateOut);
1610 IgnoreUnused(cellStateOut);
1611 IgnoreUnused(output);
1612 IgnoreUnused(descriptor);
1613 IgnoreUnused(paramsInfo);
1614
1615 IgnoreUnused(reasonIfUnsupported);
1616
1617 return true;
1618}
1619
Derek Lamberti5f400d62019-03-25 15:41:58 +0000[diff] [blame]1620bool RefLayerSupport::IsQuantizeSupported(const TensorInfo& input,
1621 const TensorInfo& output,
1622 Optional<std::string&> reasonIfUnsupported) const
1623{
1624 bool supported = true;
1625
Finn Williamsfd271062019-12-04 14:27:27 +0000[diff] [blame]1626 // Define supported input types.
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1627 std::array<DataType,7> supportedInputTypes = {
1628 DataType::BFloat16,
Keith Davis5e51cd82020-01-29 16:52:59 +0000[diff] [blame]1629 DataType::Float32,
Keith Davis3d8bc972020-02-04 09:31:47 +0000[diff] [blame]1630 DataType::Float16,
Ryan OShea9add1202020-02-07 10:06:33 +0000[diff] [blame]1631 DataType::QAsymmS8,
Keith Davis5e51cd82020-01-29 16:52:59 +0000[diff] [blame]1632 DataType::QAsymmU8,
1633 DataType::QSymmS8,
1634 DataType::QSymmS16
Derek Lamberti5f400d62019-03-25 15:41:58 +0000[diff] [blame]1635 };
1636
1637 supported &= CheckSupportRule(TypeAnyOf(input, supportedInputTypes), reasonIfUnsupported,
1638 "Reference quantize: input type not supported.");
1639
1640 // Define supported output types.
Ryan OShea9add1202020-02-07 10:06:33 +0000[diff] [blame]1641 std::array<DataType,4> supportedOutputTypes = {
Ryan OShea9add1202020-02-07 10:06:33 +0000[diff] [blame]1642 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1643 DataType::QAsymmU8,
Finn Williamsfd271062019-12-04 14:27:27 +0000[diff] [blame]1644 DataType::QSymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1645 DataType::QSymmS16
Derek Lamberti5f400d62019-03-25 15:41:58 +0000[diff] [blame]1646 };
1647 supported &= CheckSupportRule(TypeAnyOf(output, supportedOutputTypes), reasonIfUnsupported,
1648 "Reference quantize: output type not supported.");
1649
1650 supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
1651 "Reference quantize: input and output shapes have different num total elements.");
1652
1653 return supported;
1654}
1655
Finn Williams2605b232020-06-10 15:53:46 +0100[diff] [blame]1656bool RefLayerSupport::IsRankSupported(const TensorInfo& input,
1657 const TensorInfo& output,
1658 Optional<std::string&> reasonIfUnsupported) const
1659{
1660 IgnoreUnused(input);
1661 // Define supported output types.
1662 std::array<DataType,1> supportedOutputTypes =
1663 {
1664 DataType::Signed32,
1665 };
1666
1667 return CheckSupportRule(TypeAnyOf(output, supportedOutputTypes), reasonIfUnsupported,
1668 "Reference rank: input type not supported.");
1669}
1670
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1671bool RefLayerSupport::IsReshapeSupported(const TensorInfo& input,
Kevin Maya023c402019-12-12 17:28:05 +0000[diff] [blame]1672 const TensorInfo& output,
Matteo Martincigh992d6dc2019-01-10 17:34:20 +0000[diff] [blame]1673 const ReshapeDescriptor& descriptor,
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1674 Optional<std::string&> reasonIfUnsupported) const
1675{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1676 IgnoreUnused(output);
1677 IgnoreUnused(descriptor);
Nina Drozd2f2778f2019-05-27 10:37:05 +0100[diff] [blame]1678 // Define supported output types.
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]1679 std::array<DataType,7> supportedOutputTypes =
Nina Drozd2f2778f2019-05-27 10:37:05 +0100[diff] [blame]1680 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1681 DataType::BFloat16,
Nina Drozd2f2778f2019-05-27 10:37:05 +0100[diff] [blame]1682 DataType::Float32,
1683 DataType::Float16,
Narumol Prangnawarat0718ee92019-09-13 16:53:38 +0100[diff] [blame]1684 DataType::Signed32,
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]1685 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1686 DataType::QAsymmU8,
1687 DataType::QSymmS16
Nina Drozd2f2778f2019-05-27 10:37:05 +0100[diff] [blame]1688 };
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]1689
Nina Drozd2f2778f2019-05-27 10:37:05 +0100[diff] [blame]1690 return CheckSupportRule(TypeAnyOf(input, supportedOutputTypes), reasonIfUnsupported,
1691 "Reference reshape: input type not supported.");
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1692}
1693
1694bool RefLayerSupport::IsResizeBilinearSupported(const TensorInfo& input,
Sadik Armaganc625f002018-12-17 11:32:16 +0000[diff] [blame]1695 const TensorInfo& output,
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1696 Optional<std::string&> reasonIfUnsupported) const
1697{
Ellen Norris-Thompson3cb85f32019-06-17 11:32:49 +0100[diff] [blame]1698 bool supported = true;
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1699 std::array<DataType,6> supportedTypes =
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1700 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1701 DataType::BFloat16,
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1702 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1703 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1704 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1705 DataType::QAsymmU8,
1706 DataType::QSymmS16
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1707 };
Ellen Norris-Thompson3cb85f32019-06-17 11:32:49 +0100[diff] [blame]1708
1709 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1710 "Reference ResizeBilinear: input type not supported");
1711
1712 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1713 "Reference ResizeBilinear: output type not supported");
1714
1715 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1716 "Reference ResizeBilinear: input and output types not matching");
1717
1718 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1719}
1720
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1721bool RefLayerSupport::IsResizeSupported(const TensorInfo& input,
1722 const TensorInfo& output,
1723 const ResizeDescriptor& descriptor,
1724 Optional<std::string&> reasonIfUnsupported) const
1725{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1726 IgnoreUnused(descriptor);
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1727 bool supported = true;
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1728 std::array<DataType,6> supportedTypes =
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1729 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1730 DataType::BFloat16,
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1731 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1732 DataType::Float16,
Keith Davis67e6c542020-02-19 10:08:33 +0000[diff] [blame]1733 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1734 DataType::QAsymmU8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1735 DataType::QSymmS16
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1736 };
1737
1738 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1739 "Reference Resize: input type not supported");
1740
1741 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1742 "Reference Resize: output type not supported");
1743
1744 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1745 "Reference Resize: input and output types not matching");
1746
1747 return supported;
1748}
1749
Mohamed Nour Abouelseouda1d3c6a2018-12-27 12:39:16 +0000[diff] [blame]1750bool RefLayerSupport::IsRsqrtSupported(const TensorInfo& input,
1751 const TensorInfo& output,
1752 Optional<std::string&> reasonIfUnsupported) const
1753{
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]1754 return IsElementwiseUnarySupported(input,
1755 output,
1756 ElementwiseUnaryDescriptor(UnaryOperation::Rsqrt),
1757 reasonIfUnsupported);
Mohamed Nour Abouelseouda1d3c6a2018-12-27 12:39:16 +0000[diff] [blame]1758}
1759
Aron Virginas-Tar92b9f872019-09-17 17:27:04 +0100[diff] [blame]1760bool RefLayerSupport::IsSliceSupported(const TensorInfo& input,
1761 const TensorInfo& output,
1762 const SliceDescriptor& descriptor,
1763 Optional<std::string&> reasonIfUnsupported) const
1764{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1765 IgnoreUnused(descriptor);
Aron Virginas-Tar92b9f872019-09-17 17:27:04 +0100[diff] [blame]1766 bool supported = true;
1767
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1768 std::array<DataType, 5> supportedTypes =
Aron Virginas-Tar92b9f872019-09-17 17:27:04 +0100[diff] [blame]1769 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1770 DataType::BFloat16,
Aron Virginas-Tar92b9f872019-09-17 17:27:04 +0100[diff] [blame]1771 DataType::Float32,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1772 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1773 DataType::QAsymmU8,
1774 DataType::QSymmS16
Aron Virginas-Tar92b9f872019-09-17 17:27:04 +0100[diff] [blame]1775 };
1776
1777 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1778 "Reference Slice: input type not supported");
1779
1780 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1781 "Reference Slice: output type not supported");
1782
1783 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1784 "Reference Slice: input and output types are mismatched");
1785
1786 return supported;
1787}
1788
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1789bool RefLayerSupport::IsSoftmaxSupported(const TensorInfo& input,
1790 const TensorInfo& output,
1791 const SoftmaxDescriptor& descriptor,
1792 Optional<std::string&> reasonIfUnsupported) const
1793{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1794 IgnoreUnused(descriptor);
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1795 bool supported = true;
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1796 std::array<DataType,7> supportedTypes =
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1797 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1798 DataType::BFloat16,
1799 DataType::Float32,
1800 DataType::Float16,
1801 DataType::QSymmS8,
1802 DataType::QAsymmS8,
1803 DataType::QAsymmU8,
1804 DataType::QSymmS16
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1805 };
1806
1807 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1808 "Reference Softmax: output type not supported");
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1809
1810 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1811 "Reference Softmax: input type not supported");
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1812
1813 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1814 "Reference Softmax: input type not supported");
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1815
1816 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1817}
1818
Nattapat Chaimanowong3ea76d52018-11-09 14:10:38 +0000[diff] [blame]1819bool RefLayerSupport::IsSpaceToBatchNdSupported(const TensorInfo& input,
1820 const TensorInfo& output,
1821 const SpaceToBatchNdDescriptor& descriptor,
1822 Optional<std::string&> reasonIfUnsupported) const
1823{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1824 IgnoreUnused(descriptor);
nikraj01120522a2019-05-31 11:33:07 +0100[diff] [blame]1825 bool supported = true;
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1826 std::array<DataType,6> supportedTypes =
nikraj01120522a2019-05-31 11:33:07 +0100[diff] [blame]1827 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1828 DataType::BFloat16,
1829 DataType::Float32,
1830 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1831 DataType::QAsymmS8,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1832 DataType::QAsymmU8,
1833 DataType::QSymmS16
nikraj01120522a2019-05-31 11:33:07 +0100[diff] [blame]1834 };
1835
1836 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1837 "Reference SpaceToBatchNd: input type not supported");
1838
1839 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1840 "Reference SpaceToBatchNd: output type not supported");
1841
1842 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1843 "Reference SpaceToBatchNd: input and output types are mismatched");
1844
1845 return supported;
Nattapat Chaimanowong3ea76d52018-11-09 14:10:38 +0000[diff] [blame]1846}
1847
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1848bool RefLayerSupport::IsSpaceToDepthSupported(const TensorInfo& input,
Keith Davis51910332019-06-26 15:28:43 +0100[diff] [blame]1849 const TensorInfo& output,
1850 const SpaceToDepthDescriptor& descriptor,
1851 Optional<std::string&> reasonIfUnsupported) const
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1852{
1853
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1854 IgnoreUnused(descriptor);
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1855 bool supported = true;
1856
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1857 std::array<DataType,6> supportedTypes =
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1858 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1859 DataType::BFloat16,
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1860 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1861 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1862 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1863 DataType::QAsymmU8,
1864 DataType::QSymmS16
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1865 };
1866
1867 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1868 "Reference SpaceToDepth: input type not supported");
1869
1870 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1871 "Reference SpaceToDepth: output type not supported");
1872
1873 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1874 "Reference SpaceToDepth: input and output types are mismatched");
1875
1876 return supported;
1877}
1878
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1879bool RefLayerSupport::IsSplitterSupported(const TensorInfo& input,
1880 const ViewsDescriptor& descriptor,
1881 Optional<std::string&> reasonIfUnsupported) const
1882{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1883 IgnoreUnused(descriptor);
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1884 bool supported = true;
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1885 std::array<DataType,6> supportedTypes =
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1886 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1887 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1888 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1889 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1890 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1891 DataType::QAsymmU8,
1892 DataType::QSymmS16
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1893 };
1894
1895 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1896 "Reference splitter: input type not supported");
1897
1898 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1899}
1900
Narumol Prangnawarat15eb5832019-05-20 15:31:05 +0100[diff] [blame]1901bool RefLayerSupport::IsSplitterSupported(const TensorInfo& input,
1902 const std::vector<std::reference_wrapper<TensorInfo>>& outputs,
1903 const ViewsDescriptor& descriptor,
1904 Optional<std::string&> reasonIfUnsupported) const
1905{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1906 IgnoreUnused(descriptor);
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1907 bool supported = true;
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1908 std::array<DataType,6> supportedTypes =
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1909 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1910 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1911 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1912 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1913 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1914 DataType::QAsymmU8,
1915 DataType::QSymmS16
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1916 };
1917
1918 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1919 "Reference splitter: output type not supported");
1920 for (const TensorInfo output : outputs)
1921 {
1922 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1923 "Reference splitter: input type not supported");
1924
1925 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1926 "Reference splitter: input and output types mismatched.");
1927 }
1928
1929 return supported;
Narumol Prangnawarat15eb5832019-05-20 15:31:05 +0100[diff] [blame]1930}
1931
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]1932bool RefLayerSupport::IsStackSupported(const std::vector<const TensorInfo*>& inputs,
1933 const TensorInfo& output,
1934 const StackDescriptor& descriptor,
1935 Optional<std::string&> reasonIfUnsupported) const
1936{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1937 IgnoreUnused(descriptor);
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]1938
1939 bool supported = true;
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1940 std::array<DataType,6> supportedTypes =
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]1941 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1942 DataType::BFloat16,
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]1943 DataType::Float32,
Matthew Jacksone69c3992019-09-09 14:31:21 +0100[diff] [blame]1944 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1945 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1946 DataType::QAsymmU8,
1947 DataType::QSymmS16
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]1948 };
1949
1950 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1951 "Reference stack: output type not supported");
1952 for (const TensorInfo* input : inputs)
1953 {
Narumol Prangnawaratac2770a2020-04-01 16:51:23 +0100[diff] [blame]1954 ARMNN_ASSERT(input != nullptr);
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]1955 supported &= CheckSupportRule(TypeAnyOf(*input, supportedTypes), reasonIfUnsupported,
1956 "Reference stack: input type not supported");
1957
1958 supported &= CheckSupportRule(TypesAreEqual(*input, output), reasonIfUnsupported,
1959 "Reference stack: input and output types mismatched.");
1960 }
1961
1962 return supported;
1963}
1964
Nattapat Chaimanowong1216b582018-11-23 15:33:41 +0000[diff] [blame]1965bool RefLayerSupport::IsStridedSliceSupported(const TensorInfo& input,
1966 const TensorInfo& output,
1967 const StridedSliceDescriptor& descriptor,
1968 Optional<std::string&> reasonIfUnsupported) const
1969{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1970 IgnoreUnused(descriptor);
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1971 bool supported = true;
1972
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1973 std::array<DataType,5> supportedTypes =
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1974 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1975 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1976 DataType::Float32,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1977 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1978 DataType::QAsymmU8,
1979 DataType::QSymmS16
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1980 };
1981
1982 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1983 "Reference StridedSlice: input type not supported");
1984
1985 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1986 "Reference StridedSlice: output type not supported");
1987
1988 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1989 "Reference StridedSlice: input and output types are mismatched");
1990
1991 return supported;
Nattapat Chaimanowong1216b582018-11-23 15:33:41 +0000[diff] [blame]1992}
1993
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1994bool RefLayerSupport::IsSubtractionSupported(const TensorInfo& input0,
1995 const TensorInfo& input1,
1996 const TensorInfo& output,
1997 Optional<std::string&> reasonIfUnsupported) const
1998{
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1999 bool supported = true;
2000
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]2001 std::array<DataType,7> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2002 DataType::BFloat16,
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]2003 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]2004 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2005 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]2006 DataType::QAsymmU8,
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]2007 DataType::QSymmS16,
2008 DataType::Signed32
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]2009 };
2010
2011 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
2012 "Reference subtraction: input 0 is not a supported type.");
2013
2014 supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
2015 "Reference subtraction: input 1 is not a supported type.");
2016
2017 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
2018 "Reference subtraction: output is not a supported type.");
2019
2020 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
2021 "Reference subtraction: input 0 and Input 1 types are mismatched");
2022
2023 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
2024 "Reference subtraction: input and output types are mismatched");
2025
2026 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
2027 "Reference subtraction: shapes are not suitable for implicit broadcast.");
2028
2029 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]2030}
2031
Matteo Martincighab9e5252019-06-13 17:27:46 +0100[diff] [blame]2032bool RefLayerSupport::IsPreluSupported(const TensorInfo& input,
2033 const TensorInfo& alpha,
2034 const TensorInfo& output,
2035 Optional<std::string&> reasonIfUnsupported) const
2036{
2037 bool supported = true;
2038
Teresa Charlin3940d8b2020-05-29 16:47:23 +0100[diff] [blame]2039 std::array<DataType, 6> supportedTypes
Matteo Martincighab9e5252019-06-13 17:27:46 +0100[diff] [blame]2040 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2041 DataType::BFloat16,
Matteo Martincighab9e5252019-06-13 17:27:46 +0100[diff] [blame]2042 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]2043 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2044 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]2045 DataType::QAsymmU8,
Teresa Charlin3940d8b2020-05-29 16:47:23 +0100[diff] [blame]2046 DataType::QSymmS16
Matteo Martincighab9e5252019-06-13 17:27:46 +0100[diff] [blame]2047 };
2048
2049 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
2050 "PReLU: input is not a supported type.");
2051
2052 supported &= CheckSupportRule(TypeAnyOf(alpha, supportedTypes), reasonIfUnsupported,
2053 "PReLU: alpha is not a supported type.");
2054
2055 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
2056 "PReLU: output is not a supported type.");
2057
2058 supported &= CheckSupportRule(TypesAreEqual(input, alpha, output), reasonIfUnsupported,
2059 "PReLU: input, alpha and output types are mismatched");
2060
2061 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input, alpha, output), reasonIfUnsupported,
2062 "PReLU: shapes are not suitable for implicit broadcast");
2063
2064 return supported;
2065}
2066
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2067bool RefLayerSupport::IsTransposeConvolution2dSupported(const TensorInfo& input,
2068 const TensorInfo& output,
2069 const TransposeConvolution2dDescriptor& descriptor,
2070 const TensorInfo& weights,
2071 const Optional<TensorInfo>& biases,
2072 Optional<std::string&> reasonIfUnsupported) const
2073{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]2074 IgnoreUnused(descriptor);
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2075 bool supported = true;
2076
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2077 std::array<DataType,7> supportedTypes =
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2078 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2079 DataType::BFloat16,
2080 DataType::Float32,
2081 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2082 DataType::QAsymmS8,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2083 DataType::QAsymmU8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2084 DataType::QSymmS8,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2085 DataType::QSymmS16
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2086 };
2087
2088 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
2089 "Reference TransposeConvolution2d: input is not a supported type.");
2090
2091 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
2092 "Reference TransposeConvolution2d: output is not a supported type.");
2093
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2094 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
2095 "Reference TransposeConvolution2d: input and output types mismatched.");
2096
Aron Virginas-Tar94d3b932019-11-11 12:54:47 +0000[diff] [blame]2097
2098 const DataType inputType = input.GetDataType();
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2099 if (IsQuantized8BitType(inputType))
Aron Virginas-Tar94d3b932019-11-11 12:54:47 +0000[diff] [blame]2100 {
Derek Lambertid466a542020-01-22 15:37:29 +0000[diff] [blame]2101 ARMNN_NO_DEPRECATE_WARN_BEGIN
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2102 std::array<DataType, 4> supportedWeightTypes =
Aron Virginas-Tar94d3b932019-11-11 12:54:47 +0000[diff] [blame]2103 {
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2104 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]2105 DataType::QAsymmU8,
Derek Lambertid466a542020-01-22 15:37:29 +0000[diff] [blame]2106 DataType::QSymmS8,
2107 DataType::QuantizedSymm8PerAxis //Deprecated
Aron Virginas-Tar94d3b932019-11-11 12:54:47 +0000[diff] [blame]2108 };
Derek Lambertid466a542020-01-22 15:37:29 +0000[diff] [blame]2109 ARMNN_NO_DEPRECATE_WARN_END
Aron Virginas-Tar94d3b932019-11-11 12:54:47 +0000[diff] [blame]2110
2111 supported &= CheckSupportRule(TypeAnyOf(weights, supportedWeightTypes), reasonIfUnsupported,
2112 "Reference TransposeConvolution2d: weights type not supported for "
2113 "quantized input.");
2114 }
2115 else
2116 {
2117 supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,
2118 "Reference TransposeConvolution2d: weights is not a supported type.");
2119
2120 supported &= CheckSupportRule(TypesAreEqual(input, weights), reasonIfUnsupported,
2121 "Reference TransposeConvolution2d: input and weights types mismatched.");
2122 }
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2123
2124 if (biases.has_value())
2125 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2126 std::array<DataType,4> biasesSupportedTypes =
Aron Virginas-Tar651aafe2019-08-05 11:52:05 +0100[diff] [blame]2127 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2128 DataType::BFloat16,
2129 DataType::Float32,
2130 DataType::Float16,
2131 DataType::Signed32
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2132 };
2133 supported &= CheckSupportRule(TypeAnyOf(biases.value(), biasesSupportedTypes), reasonIfUnsupported,
2134 "Reference TransposeConvolution2d: biases is not a supported type.");
2135 }
2136
2137 return supported;
2138}
2139
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]2140bool RefLayerSupport::IsTransposeSupported(const TensorInfo& input,
2141 const TensorInfo& output,
2142 const TransposeDescriptor& descriptor,
2143 Optional<std::string&> reasonIfUnsupported) const
2144{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]2145 IgnoreUnused(descriptor);
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]2146 bool supported = true;
2147
2148 // Define supported output and inputs types.
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2149 std::array<DataType, 6> supportedTypes =
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]2150 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2151 DataType::BFloat16,
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]2152 DataType::Float32,
2153 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2154 DataType::QAsymmS8,
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]2155 DataType::QAsymmU8,
2156 DataType::QSymmS16
2157 };
2158
2159 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
2160 "Reference transpose: input is not a supported type.");
2161
2162 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
2163 "Reference transpose: output is not a supported type.");
2164
2165 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
2166 "Reference transpose: input and output types are mismatched.");
2167
2168 return supported;
2169}
2170
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]2171} // namespace armnn