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review.mlplatform.org / ml / armnn / f4bfa6ae12d0f6385b2017c1d98ba9c2ec0d59f4 / . / src / backends / reference / RefLayerSupport.cpp
blob: 52a763247e078d77bc172b03e9f5d0bc73e26d79 [file] [log] [blame]
telsoa014fcda012018-03-09 14:13:49 +0000[diff] [blame]1//
2// Copyright © 2017 Arm Ltd. All rights reserved.
David Beckecb56cd2018-09-05 12:52:57 +0100[diff] [blame]3// SPDX-License-Identifier: MIT
telsoa014fcda012018-03-09 14:13:49 +0000[diff] [blame]4//
5
telsoa014fcda012018-03-09 14:13:49 +0000[diff] [blame]6#include "RefLayerSupport.hpp"
David Beck3cc9a622018-10-12 10:38:31 +0100[diff] [blame]7
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]8#include <armnn/TypesUtils.hpp>
telsoa014fcda012018-03-09 14:13:49 +0000[diff] [blame]9#include <armnn/Types.hpp>
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]10#include <armnn/Descriptors.hpp>
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]11#include <armnn/utility/IgnoreUnused.hpp>
telsoa014fcda012018-03-09 14:13:49 +0000[diff] [blame]12
Matteo Martincighe011d202019-11-28 11:35:47 +0000[diff] [blame]13#include <LayerSupportCommon.hpp>
Derek Lambertif674aa02019-08-01 15:56:25 +0100[diff] [blame]14#include <backendsCommon/LayerSupportRules.hpp>
Matteo Martincighe011d202019-11-28 11:35:47 +0000[diff] [blame]15
Matteo Martincighe011d202019-11-28 11:35:47 +0000[diff] [blame]16#include <boost/cast.hpp>
telsoa014fcda012018-03-09 14:13:49 +0000[diff] [blame]17
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]18#include <vector>
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]19#include <array>
20
telsoa014fcda012018-03-09 14:13:49 +0000[diff] [blame]21using namespace boost;
22
23namespace armnn
24{
25
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]26namespace
27{
28
29template<typename Float32Func, typename Uint8Func, typename ... Params>
30bool IsSupportedForDataTypeRef(Optional<std::string&> reasonIfUnsupported,
31 DataType dataType,
32 Float32Func floatFuncPtr,
33 Uint8Func uint8FuncPtr,
34 Params&&... params)
35{
36 return IsSupportedForDataTypeGeneric(reasonIfUnsupported,
37 dataType,
38 &FalseFunc<Params...>,
39 floatFuncPtr,
40 uint8FuncPtr,
narpra01db2b1602019-01-23 15:23:11 +0000[diff] [blame]41 &FalseFunc<Params...>,
kevmay012b4d88e2019-01-24 14:05:09 +0000[diff] [blame]42 &FalseFunc<Params...>,
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]43 std::forward<Params>(params)...);
44}
45
46} // anonymous namespace
47
James Conroy4d1ff582019-06-10 17:06:39 +0100[diff] [blame]48namespace
49{
50
51std::string CreateIncorrectDimensionsErrorMsg(unsigned int expected,
52 unsigned int actual,
53 std::string& layerStr,
54 std::string& tensorName)
55{
56 std::string errorMsg = "Reference " + layerStr + ": Expected " + std::to_string(expected) + " dimensions but got" +
57 " " + std::to_string(actual) + " dimensions instead, for the '" + tensorName + "' tensor.";
58
59 return errorMsg;
60}
61
62} // anonymous namespace
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]63
Sadik Armagan9199e582019-09-05 17:35:31 +0100[diff] [blame]64bool RefLayerSupport::IsAbsSupported(const TensorInfo& input, const TensorInfo& output,
65 Optional<std::string&> reasonIfUnsupported) const
66{
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]67 return IsElementwiseUnarySupported(input,
68 output,
69 ElementwiseUnaryDescriptor(UnaryOperation::Abs),
70 reasonIfUnsupported);
Sadik Armagan9199e582019-09-05 17:35:31 +0100[diff] [blame]71}
72
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]73bool RefLayerSupport::IsActivationSupported(const TensorInfo& input,
74 const TensorInfo& output,
75 const ActivationDescriptor& descriptor,
76 Optional<std::string&> reasonIfUnsupported) const
77{
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]78 bool supported = true;
79
80 // Define supported types.
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]81 std::array<DataType,6> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]82 DataType::BFloat16,
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]83 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]84 DataType::Float16,
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]85 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]86 DataType::QAsymmU8,
87 DataType::QSymmS16
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]88 };
89
90 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
91 "Reference activation: input type not supported.");
92
93 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
94 "Reference activation: output type not supported.");
95
96 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
97 "Reference activation: input and output types mismatched.");
98
99 supported &= CheckSupportRule(ShapesAreSameRank(input, output), reasonIfUnsupported,
100 "Reference activation: input and output shapes are of different rank.");
101
102
103 struct ActivationFunctionSupported : public Rule
104 {
105 ActivationFunctionSupported(const ActivationDescriptor& desc)
106 {
107 switch(desc.m_Function)
108 {
109 case ActivationFunction::Abs:
110 case ActivationFunction::BoundedReLu:
David Monahan3b3c3812020-02-25 09:03:29 +0000[diff] [blame]111 case ActivationFunction::Elu:
Colm Donelan03fbeaf2020-02-26 15:39:23 +0000[diff] [blame]112 case ActivationFunction::HardSwish:
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]113 case ActivationFunction::LeakyReLu:
114 case ActivationFunction::Linear:
115 case ActivationFunction::ReLu:
116 case ActivationFunction::Sigmoid:
117 case ActivationFunction::SoftReLu:
118 case ActivationFunction::Sqrt:
119 case ActivationFunction::Square:
120 case ActivationFunction::TanH:
121 {
122 m_Res = true;
123 break;
124 }
125 default:
126 {
127 m_Res = false;
128 break;
129 }
130 }
131 }
132 };
133
134 // Function is supported
135 supported &= CheckSupportRule(ActivationFunctionSupported(descriptor), reasonIfUnsupported,
136 "Reference activation: function not supported.");
137
138 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]139}
140
141bool RefLayerSupport::IsAdditionSupported(const TensorInfo& input0,
142 const TensorInfo& input1,
143 const TensorInfo& output,
144 Optional<std::string&> reasonIfUnsupported) const
145{
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]146 bool supported = true;
147
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]148 std::array<DataType,7> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]149 DataType::BFloat16,
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]150 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]151 DataType::Float16,
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]152 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]153 DataType::QAsymmU8,
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]154 DataType::QSymmS16,
155 DataType::Signed32
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]156 };
157
158 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
159 "Reference addition: input 0 is not a supported type.");
160
161 supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
162 "Reference addition: input 1 is not a supported type.");
163
164 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
165 "Reference addition: output is not a supported type.");
166
167 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
168 "Reference addition: input 0 and Input 1 types are mismatched");
169
170 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
171 "Reference addition: input and output types are mismatched");
172
173 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
174 "Reference addition: shapes are not suitable for implicit broadcast.");
175
176 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]177}
178
Nikhil Raj68c2c902019-09-19 11:21:11 +0100[diff] [blame]179bool RefLayerSupport::IsArgMinMaxSupported(const armnn::TensorInfo &input, const armnn::TensorInfo &output,
180 const armnn::ArgMinMaxDescriptor &descriptor,
181 armnn::Optional<std::string &> reasonIfUnsupported) const
182{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]183 IgnoreUnused(descriptor);
Nikhil Raj68c2c902019-09-19 11:21:11 +0100[diff] [blame]184
Teresa Charline300b362020-05-25 10:01:03 +0100[diff] [blame]185 std::array<DataType, 7> supportedTypes =
Nikhil Raj68c2c902019-09-19 11:21:11 +0100[diff] [blame]186 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]187 DataType::BFloat16,
Teresa Charline300b362020-05-25 10:01:03 +0100[diff] [blame]188 DataType::Float16,
Nikhil Raj68c2c902019-09-19 11:21:11 +0100[diff] [blame]189 DataType::Float32,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]190 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]191 DataType::QAsymmU8,
192 DataType::QSymmS16,
Francis Murtagh1939df52019-11-13 15:21:09 +0000[diff] [blame]193 DataType::Signed32
Nikhil Raj68c2c902019-09-19 11:21:11 +0100[diff] [blame]194 };
195
196 bool supported = true;
197
198 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
199 "Reference ArgMinMax: input is not a supported type.");
200 supported &= CheckSupportRule(TypeIs(output, DataType::Signed32), reasonIfUnsupported,
201 "Reference ArgMinMax: output type not supported");
202
203 return supported;
204}
205
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]206bool RefLayerSupport::IsBatchNormalizationSupported(const TensorInfo& input,
207 const TensorInfo& output,
208 const TensorInfo& mean,
Matteo Martincigh3122bd52019-06-03 16:54:25 +0100[diff] [blame]209 const TensorInfo& variance,
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]210 const TensorInfo& beta,
211 const TensorInfo& gamma,
212 const BatchNormalizationDescriptor& descriptor,
213 Optional<std::string&> reasonIfUnsupported) const
214{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]215 IgnoreUnused(descriptor);
Matteo Martincigh3122bd52019-06-03 16:54:25 +0100[diff] [blame]216
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]217 std::array<DataType, 6> supportedTypes =
Matteo Martincigh3122bd52019-06-03 16:54:25 +0100[diff] [blame]218 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]219 DataType::BFloat16,
Matteo Martincigh3122bd52019-06-03 16:54:25 +0100[diff] [blame]220 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]221 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]222 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]223 DataType::QAsymmU8,
224 DataType::QSymmS16
Matteo Martincigh3122bd52019-06-03 16:54:25 +0100[diff] [blame]225 };
226
227 bool supported = true;
228
229 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
230 "Reference batch normalization: input is not a supported type.");
231
232 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
233 "Reference batch normalization: output is not a supported type.");
234
235 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
236 "Reference batch normalization: input and output types are mismatched");
237
238 supported &= CheckSupportRule(TypeAnyOf(mean, supportedTypes), reasonIfUnsupported,
239 "Reference batch normalization: mean is not a supported type.");
240
241 supported &= CheckSupportRule(TypeAnyOf(variance, supportedTypes), reasonIfUnsupported,
242 "Reference batch normalization: variance is not a supported type.");
243
244 supported &= CheckSupportRule(TypeAnyOf(beta, supportedTypes), reasonIfUnsupported,
245 "Reference batch normalization: beta is not a supported type.");
246
247 supported &= CheckSupportRule(TypeAnyOf(gamma, supportedTypes), reasonIfUnsupported,
248 "Reference batch normalization: gamma is not a supported type.");
249
250 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]251}
252
Éanna Ó Catháin4e1e1362018-11-12 11:36:34 +0000[diff] [blame]253bool RefLayerSupport::IsBatchToSpaceNdSupported(const TensorInfo& input,
254 const TensorInfo& output,
255 const BatchToSpaceNdDescriptor& descriptor,
256 Optional<std::string&> reasonIfUnsupported) const
257{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]258 IgnoreUnused(descriptor);
Francis Murtaghd0dfe172019-06-25 10:57:10 +0100[diff] [blame]259
260 bool supported = true;
261
262 std::string batchToSpaceNdLayerStr = "batchToSpaceNd";
263 std::string inputTensorStr = "input";
264 std::string outputTensorStr = "output";
265
266 // Define supported types.
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]267 std::array<DataType,6> supportedTypes =
Francis Murtaghd0dfe172019-06-25 10:57:10 +0100[diff] [blame]268 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]269 DataType::BFloat16,
270 DataType::Float32,
271 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]272 DataType::QAsymmS8,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]273 DataType::QAsymmU8,
274 DataType::QSymmS16
Francis Murtaghd0dfe172019-06-25 10:57:10 +0100[diff] [blame]275 };
276
277 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
278 "Reference BatchToSpaceNd: input type not supported.");
279
280 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
281 "Reference BatchToSpaceNd: output type not supported.");
282
283 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
284 "Reference BatchToSpaceNd: input and output types mismatched.");
285
286 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(output, 4),
287 reasonIfUnsupported,
288 CreateIncorrectDimensionsErrorMsg(4,
289 output.GetNumDimensions(),
290 batchToSpaceNdLayerStr,
291 outputTensorStr).data());
292
293 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(input, 4),
294 reasonIfUnsupported,
295 CreateIncorrectDimensionsErrorMsg(4,
296 input.GetNumDimensions(),
297 batchToSpaceNdLayerStr,
298 inputTensorStr).data());
299
300 return supported;
Éanna Ó Catháin4e1e1362018-11-12 11:36:34 +0000[diff] [blame]301}
302
Aron Virginas-Tar77bfb5e2019-10-16 17:45:38 +0100[diff] [blame]303bool RefLayerSupport::IsComparisonSupported(const TensorInfo& input0,
304 const TensorInfo& input1,
305 const TensorInfo& output,
306 const ComparisonDescriptor& descriptor,
307 Optional<std::string&> reasonIfUnsupported) const
308{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]309 IgnoreUnused(descriptor);
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]310 std::array<DataType, 8> supportedInputTypes =
Aron Virginas-Tar77bfb5e2019-10-16 17:45:38 +0100[diff] [blame]311 {
Sadik Armaganb60dd242020-03-19 13:53:16 +0000[diff] [blame]312 DataType::Boolean,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]313 DataType::BFloat16,
Aron Virginas-Tar77bfb5e2019-10-16 17:45:38 +0100[diff] [blame]314 DataType::Float32,
315 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]316 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]317 DataType::QAsymmU8,
Sadik Armaganb60dd242020-03-19 13:53:16 +0000[diff] [blame]318 DataType::QSymmS16,
319 DataType::Signed32
Aron Virginas-Tar77bfb5e2019-10-16 17:45:38 +0100[diff] [blame]320 };
321
322 bool supported = true;
323 supported &= CheckSupportRule(TypeAnyOf(input0, supportedInputTypes), reasonIfUnsupported,
324 "Reference comparison: input 0 is not a supported type");
325
326 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
327 "Reference comparison: input 0 and Input 1 types are mismatched");
328
329 supported &= CheckSupportRule(TypeIs(output, DataType::Boolean), reasonIfUnsupported,
330 "Reference comparison: output is not of type Boolean");
331
332 return supported;
333}
334
Jim Flynn906f9462019-05-10 13:55:21 +0100[diff] [blame]335bool RefLayerSupport::IsConcatSupported(const std::vector<const TensorInfo*> inputs,
336 const TensorInfo& output,
Jim Flynne242f2d2019-05-22 14:24:13 +0100[diff] [blame]337 const ConcatDescriptor& descriptor,
Jim Flynn906f9462019-05-10 13:55:21 +0100[diff] [blame]338 Optional<std::string&> reasonIfUnsupported) const
339{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]340 IgnoreUnused(descriptor);
Jim Flynne242f2d2019-05-22 14:24:13 +0100[diff] [blame]341
342 bool supported = true;
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]343 std::array<DataType,6> supportedTypes =
Jim Flynne242f2d2019-05-22 14:24:13 +0100[diff] [blame]344 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]345 DataType::BFloat16,
346 DataType::Float32,
347 DataType::Float16,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]348 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]349 DataType::QAsymmU8,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]350 DataType::QSymmS16
Jim Flynne242f2d2019-05-22 14:24:13 +0100[diff] [blame]351 };
352
353 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
354 "Reference concatenation: output type not supported");
355 for (const TensorInfo* input : inputs)
356 {
Narumol Prangnawaratac2770a2020-04-01 16:51:23 +0100[diff] [blame]357 ARMNN_ASSERT(input != nullptr);
Jim Flynne242f2d2019-05-22 14:24:13 +0100[diff] [blame]358 supported &= CheckSupportRule(TypeAnyOf(*input, supportedTypes), reasonIfUnsupported,
359 "Reference concatenation: input type not supported");
360
361 supported &= CheckSupportRule(TypesAreEqual(*input, output), reasonIfUnsupported,
362 "Reference concatenation: input and output types mismatched.");
363 }
364
365 return supported;
Jim Flynn906f9462019-05-10 13:55:21 +0100[diff] [blame]366}
367
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]368bool RefLayerSupport::IsConstantSupported(const TensorInfo& output,
369 Optional<std::string&> reasonIfUnsupported) const
370{
Teresa Charlin6fa8ce62020-05-25 16:16:44 +0100[diff] [blame]371 std::array<DataType,8> supportedTypes =
Jim Flynne242f2d2019-05-22 14:24:13 +0100[diff] [blame]372 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]373 DataType::BFloat16,
Teresa Charlin6fa8ce62020-05-25 16:16:44 +0100[diff] [blame]374 DataType::Float16,
Nina Drozd58ef2c62019-05-16 12:09:18 +0100[diff] [blame]375 DataType::Float32,
Keith Davis67e6c542020-02-19 10:08:33 +0000[diff] [blame]376 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]377 DataType::QAsymmU8,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]378 DataType::QSymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]379 DataType::QSymmS16,
380 DataType::Signed32
Nina Drozd58ef2c62019-05-16 12:09:18 +0100[diff] [blame]381 };
382
383 return CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
384 "Reference constant: output is not a supported type.");
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]385}
386
Narumol Prangnawarat7ddbbae2020-03-13 10:26:05 +0000[diff] [blame]387bool RefLayerSupport::IsConvertBf16ToFp32Supported(const TensorInfo& input,
388 const TensorInfo& output,
389 Optional<std::string&> reasonIfUnsupported) const
390{
391 bool supported = true;
392
393 supported &= CheckSupportRule(TypeIs(input, DataType::BFloat16), reasonIfUnsupported,
394 "Reference for ConvertBf16ToFp32 layer: input type not supported");
395
396 supported &= CheckSupportRule(TypeIs(output, DataType::Float32), reasonIfUnsupported,
397 "Reference for ConvertBf16ToFp32 layer: output type not supported");
398
399 return supported;
400}
401
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]402bool RefLayerSupport::IsConvertFp16ToFp32Supported(const TensorInfo& input,
403 const TensorInfo& output,
404 Optional<std::string&> reasonIfUnsupported) const
405{
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]406 return (IsSupportedForDataTypeGeneric(reasonIfUnsupported,
407 input.GetDataType(),
408 &TrueFunc<>,
409 &FalseInputFuncF32<>,
narpra01db2b1602019-01-23 15:23:11 +0000[diff] [blame]410 &FalseFuncU8<>,
kevmay012b4d88e2019-01-24 14:05:09 +0000[diff] [blame]411 &FalseFuncI32<>,
412 &FalseFuncU8<>) &&
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]413 IsSupportedForDataTypeGeneric(reasonIfUnsupported,
414 output.GetDataType(),
415 &FalseOutputFuncF16<>,
416 &TrueFunc<>,
narpra01db2b1602019-01-23 15:23:11 +0000[diff] [blame]417 &FalseFuncU8<>,
kevmay012b4d88e2019-01-24 14:05:09 +0000[diff] [blame]418 &FalseFuncI32<>,
419 &FalseFuncU8<>));
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]420}
421
Narumol Prangnawaratea54a012020-03-16 16:36:10 +0000[diff] [blame]422bool RefLayerSupport::IsConvertFp32ToBf16Supported(const TensorInfo& input,
423 const TensorInfo& output,
424 Optional<std::string&> reasonIfUnsupported) const
425{
426 bool supported = true;
427
428 supported &= CheckSupportRule(TypeIs(input, DataType::Float32), reasonIfUnsupported,
429 "Reference for ConvertFp32ToBf16 layer: input type not supported");
430
431 supported &= CheckSupportRule(TypeIs(output, DataType::BFloat16), reasonIfUnsupported,
432 "Reference for ConvertFp32ToBf16 layer: output type not supported");
433
434 return supported;
435}
436
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]437bool RefLayerSupport::IsConvertFp32ToFp16Supported(const TensorInfo& input,
438 const TensorInfo& output,
439 Optional<std::string&> reasonIfUnsupported) const
440{
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]441 return (IsSupportedForDataTypeGeneric(reasonIfUnsupported,
442 input.GetDataType(),
443 &FalseInputFuncF16<>,
444 &TrueFunc<>,
narpra01db2b1602019-01-23 15:23:11 +0000[diff] [blame]445 &FalseFuncU8<>,
kevmay012b4d88e2019-01-24 14:05:09 +0000[diff] [blame]446 &FalseFuncI32<>,
447 &FalseFuncU8<>) &&
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]448 IsSupportedForDataTypeGeneric(reasonIfUnsupported,
449 output.GetDataType(),
450 &TrueFunc<>,
451 &FalseOutputFuncF32<>,
narpra01db2b1602019-01-23 15:23:11 +0000[diff] [blame]452 &FalseFuncU8<>,
kevmay012b4d88e2019-01-24 14:05:09 +0000[diff] [blame]453 &FalseFuncI32<>,
454 &FalseFuncU8<>));
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]455}
456
457bool RefLayerSupport::IsConvolution2dSupported(const TensorInfo& input,
458 const TensorInfo& output,
459 const Convolution2dDescriptor& descriptor,
460 const TensorInfo& weights,
461 const Optional<TensorInfo>& biases,
462 Optional<std::string&> reasonIfUnsupported) const
463{
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]464 bool supported = true;
465
466 // Define supported types.
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]467 std::array<DataType,7> supportedTypes =
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]468 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]469 DataType::BFloat16,
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]470 DataType::Float32,
471 DataType::Float16,
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]472 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]473 DataType::QAsymmU8,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]474 DataType::QSymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]475 DataType::QSymmS16
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]476 };
477
478 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]479 "Reference Convolution2d: input is not a supported type.");
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]480
481 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]482 "Reference Convolution2d: output is not a supported type.");
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]483
Narumol Prangnawarat57ef0082020-03-26 09:20:43 +0000[diff] [blame]484 // For Convolution2d, we allow to have BFloat16 input with Float32 output for optimization.
485 if (input.GetDataType() == DataType::BFloat16)
486 {
487 if (output.GetDataType() != DataType::BFloat16 && output.GetDataType() != DataType::Float32)
488 {
489 reasonIfUnsupported.value() += "Output tensor type must be BFloat16 or Float32 for BFloat16 input.\n";
490 supported = false;
491 }
492 }
493 else
494 {
495 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]496 "Reference Convolution2d: input and output types mismatched.");
Narumol Prangnawarat57ef0082020-03-26 09:20:43 +0000[diff] [blame]497 }
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]498
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]499 const DataType inputType = input.GetDataType();
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]500 if (IsQuantized8BitType(inputType))
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]501 {
Derek Lambertid466a542020-01-22 15:37:29 +0000[diff] [blame]502 ARMNN_NO_DEPRECATE_WARN_BEGIN
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]503 std::array<DataType, 4> supportedWeightTypes =
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]504 {
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]505 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]506 DataType::QAsymmU8,
Derek Lambertid466a542020-01-22 15:37:29 +0000[diff] [blame]507 DataType::QSymmS8,
508 DataType::QuantizedSymm8PerAxis // deprecated
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]509 };
Derek Lambertid466a542020-01-22 15:37:29 +0000[diff] [blame]510 ARMNN_NO_DEPRECATE_WARN_END
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]511
512 supported &= CheckSupportRule(TypeAnyOf(weights, supportedWeightTypes), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]513 "Reference Convolution2d: weights type not supported for quantized input.");
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]514 }
515 else
516 {
517 supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]518 "Reference Convolution2d: weights is not a supported type.");
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]519
520 supported &= CheckSupportRule(TypesAreEqual(input, weights), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]521 "Reference Convolution2d: input and weights types mismatched.");
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]522 }
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]523
524 if (biases.has_value())
525 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]526 std::array<DataType,4> biasesSupportedTypes =
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]527 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]528 DataType::BFloat16,
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]529 DataType::Float32,
530 DataType::Float16,
531 DataType::Signed32
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]532 };
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]533
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]534 supported &= CheckSupportRule(TypeAnyOf(biases.value(), biasesSupportedTypes), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]535 "Reference Convolution2d: biases is not a supported type.");
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]536 }
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]537 IgnoreUnused(descriptor);
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]538
539 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]540}
541
Nattapat Chaimanowongcfdcadf2018-12-06 11:54:33 +0000[diff] [blame]542bool RefLayerSupport::IsDebugSupported(const TensorInfo& input,
543 const TensorInfo& output,
Nattapat Chaimanowongcfdcadf2018-12-06 11:54:33 +0000[diff] [blame]544 Optional<std::string&> reasonIfUnsupported) const
545{
Narumol Prangnawarat47cfee92019-07-04 10:29:00 +0100[diff] [blame]546 bool supported = true;
547
Narumol Prangnawarat403a1852020-03-12 14:24:13 +0000[diff] [blame]548 std::array<DataType, 8> supportedTypes =
Narumol Prangnawarat47cfee92019-07-04 10:29:00 +0100[diff] [blame]549 {
Narumol Prangnawarat403a1852020-03-12 14:24:13 +0000[diff] [blame]550 DataType::BFloat16,
Aron Virginas-Tardb1a2832019-11-12 16:15:11 +0000[diff] [blame]551 DataType::Float16,
Narumol Prangnawarat47cfee92019-07-04 10:29:00 +0100[diff] [blame]552 DataType::Float32,
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]553 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]554 DataType::QAsymmU8,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]555 DataType::QSymmS8,
Narumol Prangnawaratd2d917d2020-01-09 10:16:39 +0000[diff] [blame]556 DataType::QSymmS16,
557 DataType::Signed32
Narumol Prangnawarat47cfee92019-07-04 10:29:00 +0100[diff] [blame]558 };
559
560 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]561 "Reference for Debug layer: input type not supported");
Narumol Prangnawarat47cfee92019-07-04 10:29:00 +0100[diff] [blame]562
563 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]564 "Reference for Debug layer: output type not supported");
Narumol Prangnawarat47cfee92019-07-04 10:29:00 +0100[diff] [blame]565
566 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]567 "Reference for Debug layer: input and output types are mismatched");
Narumol Prangnawarat47cfee92019-07-04 10:29:00 +0100[diff] [blame]568
569 return supported;
Nattapat Chaimanowongcfdcadf2018-12-06 11:54:33 +0000[diff] [blame]570}
571
Aron Virginas-Tar73f66422019-09-23 19:11:59 +0100[diff] [blame]572bool RefLayerSupport::IsDepthToSpaceSupported(const TensorInfo& input,
573 const TensorInfo& output,
574 const DepthToSpaceDescriptor& descriptor,
575 Optional<std::string&> reasonIfUnsupported) const
576{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]577 IgnoreUnused(descriptor);
Aron Virginas-Tar73f66422019-09-23 19:11:59 +0100[diff] [blame]578 bool supported = true;
579
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]580 std::array<DataType,6> supportedTypes =
Aron Virginas-Tar73f66422019-09-23 19:11:59 +0100[diff] [blame]581 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]582 DataType::BFloat16,
Aron Virginas-Tar73f66422019-09-23 19:11:59 +0100[diff] [blame]583 DataType::Float32,
584 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]585 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]586 DataType::QAsymmU8,
587 DataType::QSymmS16
Aron Virginas-Tar73f66422019-09-23 19:11:59 +0100[diff] [blame]588 };
589
590 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
591 "Reference DepthToSpace: input type not supported");
592
593 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
594 "Reference DepthToSpace: output type not supported");
595
596 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
597 "Reference DepthToSpace: input and output types are mismatched");
598
599 return supported;
600}
601
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]602bool RefLayerSupport::IsDepthwiseConvolutionSupported(const TensorInfo& input,
603 const TensorInfo& output,
604 const DepthwiseConvolution2dDescriptor& descriptor,
605 const TensorInfo& weights,
606 const Optional<TensorInfo>& biases,
607 Optional<std::string&> reasonIfUnsupported) const
608{
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]609 IgnoreUnused(descriptor);
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]610 bool supported = true;
611
612 // Define supported types.
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]613 std::array<DataType,7> supportedTypes =
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]614 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]615 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]616 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]617 DataType::Float16,
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]618 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]619 DataType::QAsymmU8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]620 DataType::QSymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]621 DataType::QSymmS16
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]622 };
623
624 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
625 "Reference DepthwiseConvolution2d: input is not a supported type.");
626
627 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
628 "Reference DepthwiseConvolution2d: output is not a supported type.");
629
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]630 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
631 "Reference DepthwiseConvolution2d: input and output types mismatched.");
632
Teresa Charlind8df0262019-11-11 12:28:15 +0000[diff] [blame]633 const DataType inputType = input.GetDataType();
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]634 if (IsQuantized8BitType(inputType))
Teresa Charlind8df0262019-11-11 12:28:15 +0000[diff] [blame]635 {
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]636 ARMNN_NO_DEPRECATE_WARN_BEGIN
637 std::array<DataType, 4> supportedWeightTypes =
638 {
639 DataType::QAsymmS8,
640 DataType::QAsymmU8,
641 DataType::QSymmS8,
642 DataType::QuantizedSymm8PerAxis // deprecated
643 };
644 ARMNN_NO_DEPRECATE_WARN_END
Teresa Charlind8df0262019-11-11 12:28:15 +0000[diff] [blame]645
646 supported &= CheckSupportRule(TypeAnyOf(weights, supportedWeightTypes), reasonIfUnsupported,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]647 "Reference DepthwiseConvolution2d: weights type not supported for "
648 "quantized input.");
Teresa Charlind8df0262019-11-11 12:28:15 +0000[diff] [blame]649 }
650 else
651 {
652 supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,
653 "Reference DepthwiseConvolution2d: weights is not a supported type.");
654
655 supported &= CheckSupportRule(TypesAreEqual(input, weights), reasonIfUnsupported,
656 "Reference DepthwiseConvolution2d: input and weights types mismatched.");
657 }
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]658
659 if (biases.has_value())
660 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]661 std::array<DataType,4> biasesSupportedTypes =
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]662 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]663 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]664 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]665 DataType::Float16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]666 DataType::Signed32
667 };
668 supported &= CheckSupportRule(TypeAnyOf(biases.value(), biasesSupportedTypes), reasonIfUnsupported,
669 "Reference DepthwiseConvolution2d: biases is not a supported type.");
670 }
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]671
672 return supported;
673
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]674}
675
Nattapat Chaimanowong8a54ac02019-03-29 15:25:04 +0000[diff] [blame]676bool RefLayerSupport::IsDequantizeSupported(const TensorInfo& input,
677 const TensorInfo& output,
678 Optional<std::string&> reasonIfUnsupported) const
679{
Nattapat Chaimanowongafa4e3a2019-04-02 11:41:45 +0100[diff] [blame]680 bool supported = true;
681
Ryan OShea9add1202020-02-07 10:06:33 +0000[diff] [blame]682 std::array<DataType,4> supportedInputTypes = {
683 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]684 DataType::QAsymmU8,
Finn Williamsfd271062019-12-04 14:27:27 +0000[diff] [blame]685 DataType::QSymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]686 DataType::QSymmS16
Nattapat Chaimanowongafa4e3a2019-04-02 11:41:45 +0100[diff] [blame]687 };
688
689 supported &= CheckSupportRule(TypeAnyOf(input, supportedInputTypes), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]690 "Reference for Dequantize layer: input type not supported.");
691
692 supported &= CheckSupportRule( TypeNotPerAxisQuantized(input), reasonIfUnsupported,
693 "Reference for Dequantize layer: per-axis quantized input not support .");
Nattapat Chaimanowongafa4e3a2019-04-02 11:41:45 +0100[diff] [blame]694
Derek Lambertid466a542020-01-22 15:37:29 +0000[diff] [blame]695 supported &= CheckSupportRule(TypeNotPerAxisQuantized(input), reasonIfUnsupported,
696 "Reference dequantize: per-axis quantized input not support .");
697
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]698 std::array<DataType,3> supportedOutputTypes = {
699 DataType::BFloat16,
Jan Eilersf7107932019-11-01 11:09:36 +0000[diff] [blame]700 DataType::Float32,
701 DataType::Float16
Nattapat Chaimanowongafa4e3a2019-04-02 11:41:45 +0100[diff] [blame]702 };
703
704 supported &= CheckSupportRule(TypeAnyOf(output, supportedOutputTypes), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]705 "Reference for Dequantize layer: output type not supported.");
Nattapat Chaimanowongafa4e3a2019-04-02 11:41:45 +0100[diff] [blame]706
707 supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]708 "Reference for Dequantize layer: input/output shapes have different num total "
709 "elements.");
Nattapat Chaimanowongafa4e3a2019-04-02 11:41:45 +0100[diff] [blame]710
711 return supported;
Nattapat Chaimanowong8a54ac02019-03-29 15:25:04 +0000[diff] [blame]712}
713
Derek Lamberti6a5e5e82019-12-05 14:41:20 +0000[diff] [blame]714bool RefLayerSupport::IsDetectionPostProcessSupported(const TensorInfo& boxEncodings,
715 const TensorInfo& scores,
716 const TensorInfo& anchors,
717 const TensorInfo& detectionBoxes,
718 const TensorInfo& detectionClasses,
719 const TensorInfo& detectionScores,
720 const TensorInfo& numDetections,
721 const DetectionPostProcessDescriptor& descriptor,
722 Optional<std::string&> reasonIfUnsupported) const
Narumol Prangnawaratbc67cef2019-01-31 15:31:54 +0000[diff] [blame]723{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]724 IgnoreUnused(anchors, detectionBoxes, detectionClasses, detectionScores, numDetections, descriptor);
Derek Lamberti901ea112019-12-10 22:07:09 +0000[diff] [blame]725
Aron Virginas-Tara37e1bd2019-06-06 16:08:30 +0100[diff] [blame]726 bool supported = true;
727
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]728 std::array<DataType,5> supportedInputTypes =
Aron Virginas-Tara37e1bd2019-06-06 16:08:30 +0100[diff] [blame]729 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]730 DataType::BFloat16,
Aron Virginas-Tara37e1bd2019-06-06 16:08:30 +0100[diff] [blame]731 DataType::Float32,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]732 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]733 DataType::QAsymmU8,
734 DataType::QSymmS16
Aron Virginas-Tara37e1bd2019-06-06 16:08:30 +0100[diff] [blame]735 };
736
Derek Lamberti6a5e5e82019-12-05 14:41:20 +0000[diff] [blame]737 supported &= CheckSupportRule(TypeAnyOf(boxEncodings, supportedInputTypes), reasonIfUnsupported,
Aron Virginas-Tara37e1bd2019-06-06 16:08:30 +0100[diff] [blame]738 "Reference DetectionPostProcess: input 0 is not a supported type.");
739
Derek Lamberti6a5e5e82019-12-05 14:41:20 +0000[diff] [blame]740 supported &= CheckSupportRule(TypeAnyOf(scores, supportedInputTypes), reasonIfUnsupported,
Aron Virginas-Tara37e1bd2019-06-06 16:08:30 +0100[diff] [blame]741 "Reference DetectionPostProcess: input 1 is not a supported type.");
742
743 return supported;
Narumol Prangnawaratbc67cef2019-01-31 15:31:54 +0000[diff] [blame]744}
745
Pablo Tellof0bd6832019-04-26 17:58:13 +0100[diff] [blame]746bool RefLayerSupport::IsDilatedDepthwiseConvolutionSupported(const TensorInfo& input,
747 const TensorInfo& output,
748 const DepthwiseConvolution2dDescriptor& descriptor,
749 const TensorInfo& weights,
750 const Optional<TensorInfo>& biases,
751 Optional<std::string&> reasonIfUnsupported) const
752{
Aron Virginas-Taraece4ed2019-06-14 17:00:09 +0100[diff] [blame]753 return IsDepthwiseConvolutionSupported(input, output, descriptor, weights, biases, reasonIfUnsupported);
Pablo Tellof0bd6832019-04-26 17:58:13 +0100[diff] [blame]754}
755
Aron Virginas-Taraece4ed2019-06-14 17:00:09 +0100[diff] [blame]756bool RefLayerSupport::IsDivisionSupported(const TensorInfo& input0,
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]757 const TensorInfo& input1,
758 const TensorInfo& output,
759 Optional<std::string&> reasonIfUnsupported) const
760{
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]761 bool supported = true;
762
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]763 std::array<DataType,7> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]764 DataType::BFloat16,
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]765 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]766 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]767 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]768 DataType::QAsymmU8,
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]769 DataType::QSymmS16,
770 DataType::Signed32
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]771 };
772
773 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
774 "Reference division: input 0 is not a supported type.");
775
776 supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
777 "Reference division: input 1 is not a supported type.");
778
779 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
780 "Reference division: output is not a supported type.");
781
782 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
783 "Reference division: input 0 and Input 1 types are mismatched");
784
785 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
786 "Reference division: input and output types are mismatched");
787
788 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
789 "Reference division: shapes are not suitable for implicit broadcast.");
790
791 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]792}
793
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]794bool RefLayerSupport::IsElementwiseUnarySupported(const TensorInfo& input,
795 const TensorInfo& output,
796 const ElementwiseUnaryDescriptor& descriptor,
797 Optional<std::string&> reasonIfUnsupported) const
798{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]799 IgnoreUnused(descriptor);
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]800
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]801 std::array<DataType, 7> supportedTypes =
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]802 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]803 DataType::BFloat16,
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]804 DataType::Float32,
805 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]806 DataType::QAsymmS8,
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]807 DataType::QAsymmU8,
Sadik Armaganac472102020-03-24 09:54:36 +0000[diff] [blame]808 DataType::QSymmS16,
809 DataType::Signed32
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]810 };
811
812 bool supported = true;
813
814 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
815 "Reference elementwise unary: input type not supported");
816
817 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
818 "Reference elementwise unary: output type not supported");
819
820 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
821 "Reference elementwise unary: input and output types not matching");
822
823 supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
824 "Reference elementwise unary: input and output shapes"
825 "have different number of total elements");
826
827 return supported;
828}
829
FrancisMurtagh30cdfca2018-12-18 12:57:35 +0000[diff] [blame]830bool RefLayerSupport::IsEqualSupported(const TensorInfo& input0,
831 const TensorInfo& input1,
832 const TensorInfo& output,
833 Optional<std::string&> reasonIfUnsupported) const
834{
Aron Virginas-Tar77bfb5e2019-10-16 17:45:38 +0100[diff] [blame]835 return IsComparisonSupported(input0,
836 input1,
837 output,
838 ComparisonDescriptor(ComparisonOperation::Equal),
839 reasonIfUnsupported);
FrancisMurtagh30cdfca2018-12-18 12:57:35 +0000[diff] [blame]840}
841
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]842bool RefLayerSupport::IsFakeQuantizationSupported(const TensorInfo& input,
843 const FakeQuantizationDescriptor& descriptor,
844 Optional<std::string&> reasonIfUnsupported) const
845{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]846 IgnoreUnused(descriptor);
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]847 bool supported = true;
848
849 std::array<DataType,1> supportedTypes =
850 {
851 DataType::Float32
852 };
853
854 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
855 "Reference fake quantization: input type not supported.");
856
857 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]858}
859
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
870 std::array<DataType,2> supportedTypes =
871 {
872 DataType::Float32,
873 DataType::Float16
874 };
875
876 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
877 "Reference Fill: input type not supported.");
878
879 return supported;
880}
881
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]882bool RefLayerSupport::IsFloorSupported(const TensorInfo& input,
883 const TensorInfo& output,
884 Optional<std::string&> reasonIfUnsupported) const
885{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]886 IgnoreUnused(output);
James Conroy83735b12019-05-30 16:36:59 +0100[diff] [blame]887 bool supported = true;
888
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]889 std::array<DataType,4> supportedTypes =
James Conroy83735b12019-05-30 16:36:59 +0100[diff] [blame]890 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]891 DataType::BFloat16,
James Conroyb40d7102019-06-04 12:32:09 +0100[diff] [blame]892 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]893 DataType::Float16,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]894 DataType::QSymmS16
James Conroy83735b12019-05-30 16:36:59 +0100[diff] [blame]895 };
896
897 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
898 "Reference Floor: input type not supported.");
899
900 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
901 "Reference Floor: output type not supported.");
902
903 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]904}
905
906bool RefLayerSupport::IsFullyConnectedSupported(const TensorInfo& input,
907 const TensorInfo& output,
908 const TensorInfo& weights,
909 const TensorInfo& biases,
910 const FullyConnectedDescriptor& descriptor,
911 Optional<std::string&> reasonIfUnsupported) const
912{
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]913 bool supported = true;
914
915 // Define supported types.
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]916 std::array<DataType,6> supportedTypes =
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]917 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]918 DataType::BFloat16,
919 DataType::Float32,
920 DataType::Float16,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]921 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]922 DataType::QAsymmU8,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]923 DataType::QSymmS16
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]924 };
925
926 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
927 "Reference Fully Connected: input type not supported.");
928
929 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
930 "Reference Fully Connected: output type not supported.");
931
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]932 supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,
933 "Reference Fully Connected: weights type not supported.");
934
Narumol Prangnawarat57ef0082020-03-26 09:20:43 +0000[diff] [blame]935 // For FullyConnected, we allow to have BFloat16 input with Float32 output for optimization.
936 if (input.GetDataType() == DataType::BFloat16)
937 {
938 if (output.GetDataType() != DataType::BFloat16 && output.GetDataType() != DataType::Float32)
939 {
940 reasonIfUnsupported.value() += "Output tensor type must be BFloat16 or Float32 for BFloat16 input.\n";
941 supported = false;
942 }
943 }
944 else
945 {
946 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
947 "Reference Fully Connected: input and output types mismatched.");
948 }
949
Francis Murtaghddb1d062020-03-10 13:51:45 +0000[diff] [blame]950 ARMNN_NO_DEPRECATE_WARN_BEGIN
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]951 std::array<DataType, 4> supportedWeightTypes =
Francis Murtaghddb1d062020-03-10 13:51:45 +0000[diff] [blame]952 {
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]953 DataType::QAsymmS8,
Francis Murtaghddb1d062020-03-10 13:51:45 +0000[diff] [blame]954 DataType::QAsymmU8,
955 DataType::QSymmS8,
956 DataType::QuantizedSymm8PerAxis // deprecated
957 };
958 ARMNN_NO_DEPRECATE_WARN_END
959
960 if (IsQuantized8BitType(input.GetDataType()))
961 {
962
963 supported &= CheckSupportRule(TypeAnyOf(weights, supportedWeightTypes), reasonIfUnsupported,
964 "Reference Fully Connected: weights type not supported for quantized input.");
965 }
966 else
967 {
968 supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,
969 "Reference Fully Connected: weights is not a supported type.");
970
971 supported &= CheckSupportRule(TypesAreEqual(input, weights), reasonIfUnsupported,
972 "Reference Fully Connected: input and weights types mismatched.");
973 }
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]974
975 if (descriptor.m_BiasEnabled)
976 {
977 // Defined supported types for bias
Sadik Armagandb73c982020-04-01 17:35:30 +0100[diff] [blame]978 std::array<DataType, 5>
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]979 supportedBiasTypes =
980 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]981 DataType::BFloat16,
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]982 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]983 DataType::Float16,
Sadik Armagandb73c982020-04-01 17:35:30 +0100[diff] [blame]984 DataType::Signed32,
985 DataType::QAsymmS8
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]986 };
987
988 supported &= CheckSupportRule(TypeAnyOf(biases, supportedBiasTypes), reasonIfUnsupported,
989 "Reference Fully Connected: bias type not supported.");
990
991 supported &= CheckSupportRule(BiasAndWeightsTypesMatch(biases, weights), reasonIfUnsupported,
992 "Reference Fully Connected: bias and weight types mismatch.");
993
994 supported &= CheckSupportRule(BiasAndWeightsTypesCompatible(weights, supportedBiasTypes), reasonIfUnsupported,
995 "Reference Fully Connected: bias type inferred from weights is incompatible.");
996
Narumol Prangnawarat366d7232020-04-29 12:58:17 +0100[diff] [blame]997 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(biases, 1U), reasonIfUnsupported,
998 "Reference Fully Connected: bias must have 1 dimension.");
999
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]1000 }
1001
1002 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1003}
1004
narpra014951d842019-01-18 16:53:53 +0000[diff] [blame]1005bool RefLayerSupport::IsGatherSupported(const armnn::TensorInfo& input0,
1006 const armnn::TensorInfo& input1,
1007 const armnn::TensorInfo& output,
1008 armnn::Optional<std::string&> reasonIfUnsupported) const
1009{
Ellen Norris-Thompsone0dbedf2019-06-24 09:23:38 +0100[diff] [blame]1010 bool supported = true;
Teresa Charlin3940d8b2020-05-29 16:47:23 +0100[diff] [blame]1011 std::array<DataType,7> supportedTypes =
Ellen Norris-Thompsone0dbedf2019-06-24 09:23:38 +0100[diff] [blame]1012 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1013 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1014 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1015 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1016 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1017 DataType::QAsymmU8,
Teresa Charlin3940d8b2020-05-29 16:47:23 +0100[diff] [blame]1018 DataType::QSymmS16,
1019 DataType::Signed32
Ellen Norris-Thompsone0dbedf2019-06-24 09:23:38 +0100[diff] [blame]1020 };
1021
1022 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
1023 "Reference Gather: input type not supported");
1024
1025 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1026 "Reference Gather: output type not supported");
1027
1028 supported &= CheckSupportRule(TypeIs(input1, DataType::Signed32), reasonIfUnsupported,
1029 "Reference Gather: indices (input1) type not supported");
1030
1031 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
1032 "Reference Gather: input and output types not matching");
1033
1034 return supported;
narpra014951d842019-01-18 16:53:53 +0000[diff] [blame]1035}
1036
FrancisMurtagh878f0232018-12-19 10:56:15 +0000[diff] [blame]1037bool RefLayerSupport::IsGreaterSupported(const TensorInfo& input0,
1038 const TensorInfo& input1,
1039 const TensorInfo& output,
1040 Optional<std::string&> reasonIfUnsupported) const
1041{
Aron Virginas-Tar77bfb5e2019-10-16 17:45:38 +0100[diff] [blame]1042 return IsComparisonSupported(input0,
1043 input1,
1044 output,
1045 ComparisonDescriptor(ComparisonOperation::Greater),
1046 reasonIfUnsupported);
FrancisMurtagh878f0232018-12-19 10:56:15 +0000[diff] [blame]1047}
1048
Derek Lamberti901ea112019-12-10 22:07:09 +0000[diff] [blame]1049bool RefLayerSupport::IsInputSupported(const TensorInfo& /*input*/,
1050 Optional<std::string&> /*reasonIfUnsupported*/) const
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1051{
Narumol Prangnawaratb6441e42019-06-04 11:22:00 +0100[diff] [blame]1052 return true;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1053}
1054
Kevin May09ca49c2019-10-09 12:37:34 +0100[diff] [blame]1055bool RefLayerSupport::IsInstanceNormalizationSupported(const TensorInfo& input,
1056 const TensorInfo& output,
1057 const InstanceNormalizationDescriptor& descriptor,
1058 Optional<std::string&> reasonIfUnsupported) const
1059{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1060 IgnoreUnused(descriptor);
Kevin May09ca49c2019-10-09 12:37:34 +0100[diff] [blame]1061 // Define supported types
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1062 std::array<DataType, 3> supportedTypes =
Kevin May09ca49c2019-10-09 12:37:34 +0100[diff] [blame]1063 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1064 DataType::BFloat16,
Kevin May09ca49c2019-10-09 12:37:34 +0100[diff] [blame]1065 DataType::Float32,
1066 DataType::Float16
1067 };
1068
1069 bool supported = true;
1070
1071 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1072 "Reference Instance Normalization: input type not supported.");
1073
1074 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1075 "Reference Instance Normalization: output type not supported.");
1076
1077 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1078 "Reference Instance Normalization: input and output types mismatched.");
1079
1080 supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
1081 "Reference Instance Normalization: input and output shapes have different "
1082 "num total elements.");
1083
1084 return supported;
1085}
1086
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1087bool RefLayerSupport::IsL2NormalizationSupported(const TensorInfo& input,
1088 const TensorInfo& output,
1089 const L2NormalizationDescriptor& descriptor,
1090 Optional<std::string&> reasonIfUnsupported) const
1091{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1092 IgnoreUnused(descriptor);
Ferran Balaguerd73d14f2019-06-10 10:29:54 +0100[diff] [blame]1093 // Define supported types
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1094 std::array<DataType, 6> supportedTypes =
Ferran Balaguerd73d14f2019-06-10 10:29:54 +0100[diff] [blame]1095 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1096 DataType::BFloat16,
Ferran Balaguerd73d14f2019-06-10 10:29:54 +0100[diff] [blame]1097 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]1098 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1099 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1100 DataType::QAsymmU8,
1101 DataType::QSymmS16
Ferran Balaguerd73d14f2019-06-10 10:29:54 +0100[diff] [blame]1102 };
1103
1104 bool supported = true;
1105
1106 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1107 "Reference L2normalization: input type not supported.");
1108
1109 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1110 "Reference L2normalization: output type not supported.");
1111
1112 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1113 "Reference L2normalization: input and output types mismatched.");
1114
1115 supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
1116 "Reference L2normalization: input and output shapes have different "
1117 "num total elements.");
1118
1119 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1120}
1121
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1122bool RefLayerSupport::IsLogSoftmaxSupported(const TensorInfo& input,
1123 const TensorInfo& output,
1124 const LogSoftmaxDescriptor& descriptor,
1125 Optional<std::string&> reasonIfUnsupported) const
1126{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1127 IgnoreUnused(descriptor);
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1128
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1129 std::array<DataType, 3> supportedTypes =
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1130 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1131 DataType::BFloat16,
1132 DataType::Float32,
1133 DataType::Float16
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1134 };
1135
1136 bool supported = true;
1137 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1138 "Reference LogSoftmax: input type not supported");
1139
1140 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1141 "Reference LogSoftmax: output type not supported");
1142
1143 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1144 "Reference LogSoftmax: input and output types do not match");
1145
1146 return supported;
1147}
1148
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1149bool RefLayerSupport::IsLstmSupported(const TensorInfo& input,
1150 const TensorInfo& outputStateIn,
1151 const TensorInfo& cellStateIn,
1152 const TensorInfo& scratchBuffer,
1153 const TensorInfo& outputStateOut,
1154 const TensorInfo& cellStateOut,
1155 const TensorInfo& output,
1156 const LstmDescriptor& descriptor,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1157 const LstmInputParamsInfo& paramsInfo,
1158 Optional<std::string&> reasonIfUnsupported) const
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1159{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1160 IgnoreUnused(descriptor);
1161 IgnoreUnused(paramsInfo);
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1162
1163 bool supported = true;
1164
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1165 std::array<DataType,3> supportedTypes = {
1166 DataType::BFloat16,
Conor Kennedyb9971c92019-05-07 07:14:23 +0100[diff] [blame]1167 DataType::Float32,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1168 DataType::QSymmS16
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1169 };
1170
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1171 // check inputs and outputs
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1172 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1173 "Reference Lstm: input is not a supported type.");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1174 supported &= CheckSupportRule(TypesAreEqual(input, outputStateIn), reasonIfUnsupported,
1175 "Reference Lstm: input and outputStateIn types are mismatched");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1176 supported &= CheckSupportRule(TypesAreEqual(input, cellStateIn), reasonIfUnsupported,
1177 "Reference Lstm: input and cellStateIn types are mismatched");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1178 supported &= CheckSupportRule(TypesAreEqual(input, scratchBuffer), reasonIfUnsupported,
1179 "Reference Lstm: input and scratchBuffer types are mismatched");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1180 supported &= CheckSupportRule(TypesAreEqual(input, outputStateOut), reasonIfUnsupported,
1181 "Reference Lstm: input and outputStateOut types are mismatched");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1182 supported &= CheckSupportRule(TypesAreEqual(input, cellStateOut), reasonIfUnsupported,
1183 "Reference Lstm: input and cellStateOut types are mismatched");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1184 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1185 "Reference Lstm: input and output types are mismatched");
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1186 // check layer parameters
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1187 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputToForgetWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1188 "Reference Lstm: input and InputToForgetWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1189 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputToCellWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1190 "Reference Lstm: input and InputToCellWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1191 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputToOutputWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1192 "Reference Lstm: input and InputToOutputWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1193 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetRecurrentToForgetWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1194 "Reference Lstm: input and RecurrentToForgetWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1195 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetRecurrentToCellWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1196 "Reference Lstm: input and RecurrentToCellWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1197 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetRecurrentToOutputWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1198 "Reference Lstm: input and RecurrentToOutputWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1199 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetForgetGateBias()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1200 "Reference Lstm: input and ForgetGateBias types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1201 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellBias()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1202 "Reference Lstm: input and CellBias types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1203 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetOutputGateBias()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1204 "Reference Lstm: input and OutputGateBias types are mismatched");
1205 if (!descriptor.m_CifgEnabled)
1206 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1207 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputToInputWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1208 "Reference Lstm: input and InputToInputWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1209 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetRecurrentToInputWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1210 reasonIfUnsupported,
1211 "Reference Lstm: input and RecurrentToInputWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1212 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputGateBias()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1213 "Reference Lstm: input and InputGateBias types are mismatched");
1214 if (descriptor.m_PeepholeEnabled)
1215 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1216 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellToInputWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1217 reasonIfUnsupported,
1218 "Reference Lstm: input and CellToInputWeights types are mismatched");
1219 }
1220 }
1221 if (descriptor.m_PeepholeEnabled)
1222 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1223 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellToForgetWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1224 "Reference Lstm: input and CellToForgetWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1225 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellToOutputWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1226 "Reference Lstm: input and CellToOutputWeights types are mismatched");
1227 }
1228 if (descriptor.m_ProjectionEnabled)
1229 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1230 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetProjectionWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1231 "Reference Lstm: input and mProjectionWeights types are mismatched");
1232 if (paramsInfo.m_ProjectionBias != nullptr)
1233 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1234 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetProjectionBias()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1235 "Reference Lstm: input and ProjectionBias types are mismatched");
1236 }
1237 }
1238 if (descriptor.m_LayerNormEnabled)
1239 {
1240 if (!descriptor.m_CifgEnabled)
1241 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1242 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputLayerNormWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1243 reasonIfUnsupported,
1244 "Reference Lstm: input and InputLayerNormWeights types are mismatched");
1245 }
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1246 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetForgetLayerNormWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1247 reasonIfUnsupported,
1248 "Reference Lstm: input and ForgetLayerNormWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1249 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellLayerNormWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1250 reasonIfUnsupported,
1251 "Reference Lstm: input and CellLayerNormWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1252 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetOutputLayerNormWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1253 reasonIfUnsupported,
1254 "Reference Lstm: input and OutputLayerNormWeights types are mismatched");
1255 }
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1256
1257 return supported;
telsoa01c577f2c2018-08-31 09:22:23 +0100[diff] [blame]1258}
1259
saoste012df12b32018-11-28 16:57:20 +0000[diff] [blame]1260bool RefLayerSupport::IsMaximumSupported(const TensorInfo& input0,
1261 const TensorInfo& input1,
1262 const TensorInfo& output,
1263 Optional<std::string&> reasonIfUnsupported) const
1264{
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1265 bool supported = true;
1266
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]1267 std::array<DataType,7> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1268 DataType::BFloat16,
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1269 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1270 DataType::Float16,
Keith Davis67e6c542020-02-19 10:08:33 +0000[diff] [blame]1271 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1272 DataType::QAsymmU8,
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]1273 DataType::QSymmS16,
1274 DataType::Signed32
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1275 };
1276
1277 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
1278 "Reference maximum: input 0 is not a supported type.");
1279
1280 supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
1281 "Reference maximum: input 1 is not a supported type.");
1282
1283 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1284 "Reference maximum: output is not a supported type.");
1285
1286 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
1287 "Reference maximum: input 0 and Input 1 types are mismatched");
1288
1289 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
1290 "Reference maximum: input and output types are mismatched");
1291
1292 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
1293 "Reference maximum: shapes are not suitable for implicit broadcast.");
1294
1295 return supported;
saoste012df12b32018-11-28 16:57:20 +0000[diff] [blame]1296}
1297
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1298bool RefLayerSupport::IsMeanSupported(const TensorInfo& input,
1299 const TensorInfo& output,
1300 const MeanDescriptor& descriptor,
1301 Optional<std::string&> reasonIfUnsupported) const
narpra0132b90462018-09-13 11:07:48 +0100[diff] [blame]1302{
James Conroy4d1ff582019-06-10 17:06:39 +0100[diff] [blame]1303 bool supported = true;
1304 std::string meanLayerStr = "Mean";
1305 std::string outputTensorStr = "output";
1306
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1307 std::array<DataType,6> supportedTypes =
James Conroy4d1ff582019-06-10 17:06:39 +0100[diff] [blame]1308 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1309 DataType::BFloat16,
James Conroy4d1ff582019-06-10 17:06:39 +0100[diff] [blame]1310 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]1311 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1312 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1313 DataType::QAsymmU8,
1314 DataType::QSymmS16
James Conroy4d1ff582019-06-10 17:06:39 +0100[diff] [blame]1315 };
1316
1317 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1318 "Reference Mean: input type not supported.");
1319
1320 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1321 "Reference Mean: input and output types are mismatched");
1322
1323 if (descriptor.m_KeepDims)
1324 {
1325 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(output, input.GetNumDimensions()),
1326 reasonIfUnsupported,
1327 CreateIncorrectDimensionsErrorMsg(input.GetNumDimensions(),
1328 output.GetNumDimensions(),
1329 meanLayerStr, outputTensorStr).data());
1330 }
1331 else if (descriptor.m_Axis.empty())
1332 {
1333 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(output, 1),
1334 reasonIfUnsupported,
1335 CreateIncorrectDimensionsErrorMsg(1, output.GetNumDimensions(),
1336 meanLayerStr, outputTensorStr).data());
1337 }
1338 else
1339 {
1340 auto outputDim = input.GetNumDimensions() - boost::numeric_cast<unsigned int>(descriptor.m_Axis.size());
1341
1342 if (outputDim > 0)
1343 {
1344 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(output, outputDim),
1345 reasonIfUnsupported,
1346 CreateIncorrectDimensionsErrorMsg(outputDim, output.GetNumDimensions(),
1347 meanLayerStr, outputTensorStr).data());
1348 }
1349 else
1350 {
1351 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(output, 1),
1352 reasonIfUnsupported,
1353 CreateIncorrectDimensionsErrorMsg(1, output.GetNumDimensions(),
1354 meanLayerStr, outputTensorStr).data());
1355 }
1356 }
1357
1358 return supported;
narpra0132b90462018-09-13 11:07:48 +0100[diff] [blame]1359}
1360
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1361bool RefLayerSupport::IsMergerSupported(const std::vector<const TensorInfo*> inputs,
Nikhil Raj8599a412018-11-19 14:51:07 +0000[diff] [blame]1362 const TensorInfo& output,
Jim Flynne242f2d2019-05-22 14:24:13 +0100[diff] [blame]1363 const MergerDescriptor& descriptor,
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1364 Optional<std::string&> reasonIfUnsupported) const
1365{
Jim Flynne242f2d2019-05-22 14:24:13 +0100[diff] [blame]1366 return IsConcatSupported(inputs, output, descriptor, reasonIfUnsupported);
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1367}
1368
Matteo Martincigh992d6dc2019-01-10 17:34:20 +0000[diff] [blame]1369bool RefLayerSupport::IsMemCopySupported(const TensorInfo &input,
1370 const TensorInfo &output,
1371 Optional<std::string &> reasonIfUnsupported) const
1372{
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1373 bool supported = true;
1374
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1375 std::array<DataType,7> supportedTypes =
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1376 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1377 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1378 DataType::Float32,
1379 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1380 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1381 DataType::QAsymmU8,
1382 DataType::QSymmS16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1383 DataType::Boolean
1384 };
1385
1386 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1387 "Reference MemCopy: input type not supported");
1388
1389 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1390 "Reference MemCopy: output type not supported");
1391
1392 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1393 "Reference MemCopy: input and output types are mismatched");
1394
1395 return supported;
Matteo Martincigh992d6dc2019-01-10 17:34:20 +0000[diff] [blame]1396}
1397
Éanna Ó Catháin20e58802018-12-04 10:29:06 +0000[diff] [blame]1398bool RefLayerSupport::IsMinimumSupported(const TensorInfo& input0,
1399 const TensorInfo& input1,
1400 const TensorInfo& output,
1401 Optional<std::string&> reasonIfUnsupported) const
1402{
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1403 bool supported = true;
1404
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]1405 std::array<DataType,7> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1406 DataType::BFloat16,
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1407 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1408 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1409 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1410 DataType::QAsymmU8,
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]1411 DataType::QSymmS16,
1412 DataType::Signed32
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1413 };
1414
1415 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
1416 "Reference minimum: input 0 is not a supported type.");
1417
1418 supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
1419 "Reference minimum: input 1 is not a supported type.");
1420
1421 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1422 "Reference minimum: output is not a supported type.");
1423
1424 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
1425 "Reference minimum: input 0 and Input 1 types are mismatched");
1426
1427 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
1428 "Reference minimum: input and output types are mismatched");
1429
1430 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
1431 "Reference minimum: shapes are not suitable for implicit broadcast.");
1432
1433 return supported;
Éanna Ó Catháin20e58802018-12-04 10:29:06 +0000[diff] [blame]1434}
1435
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1436bool RefLayerSupport::IsMultiplicationSupported(const TensorInfo& input0,
1437 const TensorInfo& input1,
1438 const TensorInfo& output,
1439 Optional<std::string&> reasonIfUnsupported) const
1440{
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1441 bool supported = true;
1442
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]1443 std::array<DataType,7> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1444 DataType::BFloat16,
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1445 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]1446 DataType::Float16,
Keith Davis67e6c542020-02-19 10:08:33 +0000[diff] [blame]1447 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1448 DataType::QAsymmU8,
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]1449 DataType::QSymmS16,
1450 DataType::Signed32
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1451 };
1452
1453 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
1454 "Reference multiplication: input 0 is not a supported type.");
1455
1456 supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
1457 "Reference multiplication: input 1 is not a supported type.");
1458
1459 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1460 "Reference multiplication: output is not a supported type.");
1461
1462 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
1463 "Reference multiplication: input 0 and Input 1 types are mismatched");
1464
1465 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
1466 "Reference multiplication: input and output types are mismatched");
1467
1468 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
1469 "Reference multiplication: shapes are not suitable for implicit broadcast.");
1470
1471 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1472}
1473
1474bool RefLayerSupport::IsNormalizationSupported(const TensorInfo& input,
1475 const TensorInfo& output,
1476 const NormalizationDescriptor& descriptor,
1477 Optional<std::string&> reasonIfUnsupported) const
Nina Drozd661dfa72018-10-02 11:14:17 +0100[diff] [blame]1478{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1479 IgnoreUnused(descriptor);
Matteo Martincigh2fc70c52019-06-05 14:12:48 +0100[diff] [blame]1480
1481 // Define supported types
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1482 std::array<DataType, 6> supportedTypes =
Matteo Martincigh2fc70c52019-06-05 14:12:48 +0100[diff] [blame]1483 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1484 DataType::BFloat16,
Matteo Martincigh2fc70c52019-06-05 14:12:48 +0100[diff] [blame]1485 DataType::Float16,
1486 DataType::Float32,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1487 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1488 DataType::QAsymmU8,
1489 DataType::QSymmS16
Matteo Martincigh2fc70c52019-06-05 14:12:48 +0100[diff] [blame]1490 };
1491
1492 bool supported = true;
1493
1494 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1495 "Reference normalization: input type not supported.");
1496
1497 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1498 "Reference normalization: output type not supported.");
1499
1500 supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
1501 "Reference normalization: input and output shapes have different "
1502 "num total elements.");
1503
1504 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1505}
1506
Derek Lamberti901ea112019-12-10 22:07:09 +0000[diff] [blame]1507bool RefLayerSupport::IsOutputSupported(const TensorInfo& /*output*/,
1508 Optional<std::string&> /*reasonIfUnsupported*/) const
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1509{
Narumol Prangnawaratb6441e42019-06-04 11:22:00 +0100[diff] [blame]1510 return true;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1511}
1512
1513bool RefLayerSupport::IsPadSupported(const TensorInfo& input,
1514 const TensorInfo& output,
1515 const PadDescriptor& descriptor,
1516 Optional<std::string&> reasonIfUnsupported) const
1517{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1518 IgnoreUnused(descriptor);
Narumol Prangnawarate6eaf662019-07-08 08:57:17 +0100[diff] [blame]1519 bool supported = true;
1520
1521 // Define supported output and inputs types.
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1522 std::array<DataType,6> supportedTypes =
Narumol Prangnawarate6eaf662019-07-08 08:57:17 +0100[diff] [blame]1523 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1524 DataType::BFloat16,
Narumol Prangnawarate6eaf662019-07-08 08:57:17 +0100[diff] [blame]1525 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]1526 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1527 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1528 DataType::QAsymmU8,
1529 DataType::QSymmS16
Narumol Prangnawarate6eaf662019-07-08 08:57:17 +0100[diff] [blame]1530 };
1531
1532 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1533 "Reference pad: input is not a supported type.");
1534
1535 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1536 "Reference pad: output is not a supported type.");
1537
1538 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1539 "Reference pad: input and output types are mismatched.");
1540
1541 return supported;
Nina Drozd661dfa72018-10-02 11:14:17 +0100[diff] [blame]1542}
1543
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1544bool RefLayerSupport::IsPermuteSupported(const TensorInfo& input,
1545 const TensorInfo& output,
1546 const PermuteDescriptor& descriptor,
1547 Optional<std::string&> reasonIfUnsupported) const
1548{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1549 IgnoreUnused(descriptor);
Narumol Prangnawarat86bb4e12019-07-08 11:36:05 +0100[diff] [blame]1550 bool supported = true;
1551
1552 // Define supported output and inputs types.
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1553 std::array<DataType, 6> supportedTypes =
Narumol Prangnawarat86bb4e12019-07-08 11:36:05 +0100[diff] [blame]1554 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1555 DataType::BFloat16,
Narumol Prangnawarat86bb4e12019-07-08 11:36:05 +0100[diff] [blame]1556 DataType::Float32,
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]1557 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1558 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1559 DataType::QAsymmU8,
1560 DataType::QSymmS16
Narumol Prangnawarat86bb4e12019-07-08 11:36:05 +0100[diff] [blame]1561 };
1562
1563 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1564 "Reference permute: input is not a supported type.");
1565
1566 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1567 "Reference permute: output is not a supported type.");
1568
1569 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1570 "Reference permute: input and output types are mismatched.");
1571
1572 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1573}
1574
1575bool RefLayerSupport::IsPooling2dSupported(const TensorInfo& input,
1576 const TensorInfo& output,
1577 const Pooling2dDescriptor& descriptor,
1578 Optional<std::string&> reasonIfUnsupported) const
1579{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1580 IgnoreUnused(descriptor);
Teresa Charlina3b20472019-06-06 11:12:32 +0100[diff] [blame]1581 bool supported = true;
1582
1583 // Define supported output and inputs types.
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1584 std::array<DataType,6> supportedTypes =
Teresa Charlina3b20472019-06-06 11:12:32 +0100[diff] [blame]1585 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1586 DataType::BFloat16,
Teresa Charlina3b20472019-06-06 11:12:32 +0100[diff] [blame]1587 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]1588 DataType::Float16,
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]1589 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1590 DataType::QAsymmU8,
1591 DataType::QSymmS16
Teresa Charlina3b20472019-06-06 11:12:32 +0100[diff] [blame]1592 };
1593
1594 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1595 "Reference poolind2d: input is not a supported type.");
1596
1597 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1598 "Reference poolind2d: output is not a supported type.");
1599
1600 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1601 "Reference poolind2d: input and output types are mismatched.");
1602
1603 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1604}
1605
James Conroy4f1f8992020-04-29 20:01:10 +0100[diff] [blame]1606bool RefLayerSupport::IsQLstmSupported(const TensorInfo& input,
1607 const TensorInfo& previousOutputIn,
1608 const TensorInfo& previousCellStateIn,
1609 const TensorInfo& outputStateOut,
1610 const TensorInfo& cellStateOut,
1611 const TensorInfo& output,
1612 const QLstmDescriptor& descriptor,
1613 const LstmInputParamsInfo& paramsInfo,
1614 Optional<std::string&> reasonIfUnsupported) const
1615{
1616 IgnoreUnused(input);
1617 IgnoreUnused(previousOutputIn);
1618 IgnoreUnused(previousCellStateIn);
1619 IgnoreUnused(outputStateOut);
1620 IgnoreUnused(cellStateOut);
1621 IgnoreUnused(output);
1622 IgnoreUnused(descriptor);
1623 IgnoreUnused(paramsInfo);
1624
1625 IgnoreUnused(reasonIfUnsupported);
1626
1627 return true;
1628}
1629
Derek Lamberti5f400d62019-03-25 15:41:58 +0000[diff] [blame]1630bool RefLayerSupport::IsQuantizeSupported(const TensorInfo& input,
1631 const TensorInfo& output,
1632 Optional<std::string&> reasonIfUnsupported) const
1633{
1634 bool supported = true;
1635
Finn Williamsfd271062019-12-04 14:27:27 +0000[diff] [blame]1636 // Define supported input types.
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1637 std::array<DataType,7> supportedInputTypes = {
1638 DataType::BFloat16,
Keith Davis5e51cd82020-01-29 16:52:59 +0000[diff] [blame]1639 DataType::Float32,
Keith Davis3d8bc972020-02-04 09:31:47 +0000[diff] [blame]1640 DataType::Float16,
Ryan OShea9add1202020-02-07 10:06:33 +0000[diff] [blame]1641 DataType::QAsymmS8,
Keith Davis5e51cd82020-01-29 16:52:59 +0000[diff] [blame]1642 DataType::QAsymmU8,
1643 DataType::QSymmS8,
1644 DataType::QSymmS16
Derek Lamberti5f400d62019-03-25 15:41:58 +0000[diff] [blame]1645 };
1646
1647 supported &= CheckSupportRule(TypeAnyOf(input, supportedInputTypes), reasonIfUnsupported,
1648 "Reference quantize: input type not supported.");
1649
1650 // Define supported output types.
Ryan OShea9add1202020-02-07 10:06:33 +0000[diff] [blame]1651 std::array<DataType,4> supportedOutputTypes = {
Ryan OShea9add1202020-02-07 10:06:33 +0000[diff] [blame]1652 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1653 DataType::QAsymmU8,
Finn Williamsfd271062019-12-04 14:27:27 +0000[diff] [blame]1654 DataType::QSymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1655 DataType::QSymmS16
Derek Lamberti5f400d62019-03-25 15:41:58 +0000[diff] [blame]1656 };
1657 supported &= CheckSupportRule(TypeAnyOf(output, supportedOutputTypes), reasonIfUnsupported,
1658 "Reference quantize: output type not supported.");
1659
1660 supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
1661 "Reference quantize: input and output shapes have different num total elements.");
1662
1663 return supported;
1664}
1665
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1666bool RefLayerSupport::IsReshapeSupported(const TensorInfo& input,
Kevin Maya023c402019-12-12 17:28:05 +0000[diff] [blame]1667 const TensorInfo& output,
Matteo Martincigh992d6dc2019-01-10 17:34:20 +0000[diff] [blame]1668 const ReshapeDescriptor& descriptor,
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1669 Optional<std::string&> reasonIfUnsupported) const
1670{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1671 IgnoreUnused(output);
1672 IgnoreUnused(descriptor);
Nina Drozd2f2778f2019-05-27 10:37:05 +0100[diff] [blame]1673 // Define supported output types.
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]1674 std::array<DataType,7> supportedOutputTypes =
Nina Drozd2f2778f2019-05-27 10:37:05 +0100[diff] [blame]1675 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1676 DataType::BFloat16,
Nina Drozd2f2778f2019-05-27 10:37:05 +0100[diff] [blame]1677 DataType::Float32,
1678 DataType::Float16,
Narumol Prangnawarat0718ee92019-09-13 16:53:38 +0100[diff] [blame]1679 DataType::Signed32,
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]1680 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1681 DataType::QAsymmU8,
1682 DataType::QSymmS16
Nina Drozd2f2778f2019-05-27 10:37:05 +0100[diff] [blame]1683 };
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]1684
Nina Drozd2f2778f2019-05-27 10:37:05 +0100[diff] [blame]1685 return CheckSupportRule(TypeAnyOf(input, supportedOutputTypes), reasonIfUnsupported,
1686 "Reference reshape: input type not supported.");
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1687}
1688
1689bool RefLayerSupport::IsResizeBilinearSupported(const TensorInfo& input,
Sadik Armaganc625f002018-12-17 11:32:16 +0000[diff] [blame]1690 const TensorInfo& output,
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1691 Optional<std::string&> reasonIfUnsupported) const
1692{
Ellen Norris-Thompson3cb85f32019-06-17 11:32:49 +0100[diff] [blame]1693 bool supported = true;
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1694 std::array<DataType,6> supportedTypes =
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1695 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1696 DataType::BFloat16,
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1697 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1698 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1699 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1700 DataType::QAsymmU8,
1701 DataType::QSymmS16
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1702 };
Ellen Norris-Thompson3cb85f32019-06-17 11:32:49 +0100[diff] [blame]1703
1704 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1705 "Reference ResizeBilinear: input type not supported");
1706
1707 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1708 "Reference ResizeBilinear: output type not supported");
1709
1710 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1711 "Reference ResizeBilinear: input and output types not matching");
1712
1713 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1714}
1715
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1716bool RefLayerSupport::IsResizeSupported(const TensorInfo& input,
1717 const TensorInfo& output,
1718 const ResizeDescriptor& descriptor,
1719 Optional<std::string&> reasonIfUnsupported) const
1720{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1721 IgnoreUnused(descriptor);
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1722 bool supported = true;
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1723 std::array<DataType,6> supportedTypes =
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1724 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1725 DataType::BFloat16,
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1726 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1727 DataType::Float16,
Keith Davis67e6c542020-02-19 10:08:33 +0000[diff] [blame]1728 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1729 DataType::QAsymmU8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1730 DataType::QSymmS16
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1731 };
1732
1733 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1734 "Reference Resize: input type not supported");
1735
1736 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1737 "Reference Resize: output type not supported");
1738
1739 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1740 "Reference Resize: input and output types not matching");
1741
1742 return supported;
1743}
1744
Mohamed Nour Abouelseouda1d3c6a2018-12-27 12:39:16 +0000[diff] [blame]1745bool RefLayerSupport::IsRsqrtSupported(const TensorInfo& input,
1746 const TensorInfo& output,
1747 Optional<std::string&> reasonIfUnsupported) const
1748{
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]1749 return IsElementwiseUnarySupported(input,
1750 output,
1751 ElementwiseUnaryDescriptor(UnaryOperation::Rsqrt),
1752 reasonIfUnsupported);
Mohamed Nour Abouelseouda1d3c6a2018-12-27 12:39:16 +0000[diff] [blame]1753}
1754
Aron Virginas-Tar92b9f872019-09-17 17:27:04 +0100[diff] [blame]1755bool RefLayerSupport::IsSliceSupported(const TensorInfo& input,
1756 const TensorInfo& output,
1757 const SliceDescriptor& descriptor,
1758 Optional<std::string&> reasonIfUnsupported) const
1759{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1760 IgnoreUnused(descriptor);
Aron Virginas-Tar92b9f872019-09-17 17:27:04 +0100[diff] [blame]1761 bool supported = true;
1762
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1763 std::array<DataType, 5> supportedTypes =
Aron Virginas-Tar92b9f872019-09-17 17:27:04 +0100[diff] [blame]1764 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1765 DataType::BFloat16,
Aron Virginas-Tar92b9f872019-09-17 17:27:04 +0100[diff] [blame]1766 DataType::Float32,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1767 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1768 DataType::QAsymmU8,
1769 DataType::QSymmS16
Aron Virginas-Tar92b9f872019-09-17 17:27:04 +0100[diff] [blame]1770 };
1771
1772 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1773 "Reference Slice: input type not supported");
1774
1775 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1776 "Reference Slice: output type not supported");
1777
1778 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1779 "Reference Slice: input and output types are mismatched");
1780
1781 return supported;
1782}
1783
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1784bool RefLayerSupport::IsSoftmaxSupported(const TensorInfo& input,
1785 const TensorInfo& output,
1786 const SoftmaxDescriptor& descriptor,
1787 Optional<std::string&> reasonIfUnsupported) const
1788{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1789 IgnoreUnused(descriptor);
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1790 bool supported = true;
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1791 std::array<DataType,7> supportedTypes =
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1792 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1793 DataType::BFloat16,
1794 DataType::Float32,
1795 DataType::Float16,
1796 DataType::QSymmS8,
1797 DataType::QAsymmS8,
1798 DataType::QAsymmU8,
1799 DataType::QSymmS16
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1800 };
1801
1802 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1803 "Reference Softmax: output type not supported");
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1804
1805 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1806 "Reference Softmax: input type not supported");
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1807
1808 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1809 "Reference Softmax: input type not supported");
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1810
1811 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1812}
1813
Nattapat Chaimanowong3ea76d52018-11-09 14:10:38 +0000[diff] [blame]1814bool RefLayerSupport::IsSpaceToBatchNdSupported(const TensorInfo& input,
1815 const TensorInfo& output,
1816 const SpaceToBatchNdDescriptor& descriptor,
1817 Optional<std::string&> reasonIfUnsupported) const
1818{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1819 IgnoreUnused(descriptor);
nikraj01120522a2019-05-31 11:33:07 +0100[diff] [blame]1820 bool supported = true;
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1821 std::array<DataType,6> supportedTypes =
nikraj01120522a2019-05-31 11:33:07 +0100[diff] [blame]1822 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1823 DataType::BFloat16,
1824 DataType::Float32,
1825 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1826 DataType::QAsymmS8,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1827 DataType::QAsymmU8,
1828 DataType::QSymmS16
nikraj01120522a2019-05-31 11:33:07 +0100[diff] [blame]1829 };
1830
1831 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1832 "Reference SpaceToBatchNd: input type not supported");
1833
1834 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1835 "Reference SpaceToBatchNd: output type not supported");
1836
1837 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1838 "Reference SpaceToBatchNd: input and output types are mismatched");
1839
1840 return supported;
Nattapat Chaimanowong3ea76d52018-11-09 14:10:38 +0000[diff] [blame]1841}
1842
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1843bool RefLayerSupport::IsSpaceToDepthSupported(const TensorInfo& input,
Keith Davis51910332019-06-26 15:28:43 +0100[diff] [blame]1844 const TensorInfo& output,
1845 const SpaceToDepthDescriptor& descriptor,
1846 Optional<std::string&> reasonIfUnsupported) const
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1847{
1848
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1849 IgnoreUnused(descriptor);
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1850 bool supported = true;
1851
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1852 std::array<DataType,6> supportedTypes =
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1853 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1854 DataType::BFloat16,
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1855 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1856 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1857 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1858 DataType::QAsymmU8,
1859 DataType::QSymmS16
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1860 };
1861
1862 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1863 "Reference SpaceToDepth: input type not supported");
1864
1865 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1866 "Reference SpaceToDepth: output type not supported");
1867
1868 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1869 "Reference SpaceToDepth: input and output types are mismatched");
1870
1871 return supported;
1872}
1873
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1874bool RefLayerSupport::IsSplitterSupported(const TensorInfo& input,
1875 const ViewsDescriptor& descriptor,
1876 Optional<std::string&> reasonIfUnsupported) const
1877{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1878 IgnoreUnused(descriptor);
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1879 bool supported = true;
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1880 std::array<DataType,6> supportedTypes =
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1881 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1882 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1883 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1884 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1885 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1886 DataType::QAsymmU8,
1887 DataType::QSymmS16
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1888 };
1889
1890 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1891 "Reference splitter: input type not supported");
1892
1893 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1894}
1895
Narumol Prangnawarat15eb5832019-05-20 15:31:05 +0100[diff] [blame]1896bool RefLayerSupport::IsSplitterSupported(const TensorInfo& input,
1897 const std::vector<std::reference_wrapper<TensorInfo>>& outputs,
1898 const ViewsDescriptor& descriptor,
1899 Optional<std::string&> reasonIfUnsupported) const
1900{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1901 IgnoreUnused(descriptor);
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1902 bool supported = true;
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1903 std::array<DataType,6> supportedTypes =
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1904 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1905 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1906 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1907 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1908 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1909 DataType::QAsymmU8,
1910 DataType::QSymmS16
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1911 };
1912
1913 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1914 "Reference splitter: output type not supported");
1915 for (const TensorInfo output : outputs)
1916 {
1917 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1918 "Reference splitter: input type not supported");
1919
1920 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1921 "Reference splitter: input and output types mismatched.");
1922 }
1923
1924 return supported;
Narumol Prangnawarat15eb5832019-05-20 15:31:05 +0100[diff] [blame]1925}
1926
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]1927bool RefLayerSupport::IsStackSupported(const std::vector<const TensorInfo*>& inputs,
1928 const TensorInfo& output,
1929 const StackDescriptor& descriptor,
1930 Optional<std::string&> reasonIfUnsupported) const
1931{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1932 IgnoreUnused(descriptor);
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]1933
1934 bool supported = true;
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1935 std::array<DataType,6> supportedTypes =
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]1936 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1937 DataType::BFloat16,
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]1938 DataType::Float32,
Matthew Jacksone69c3992019-09-09 14:31:21 +0100[diff] [blame]1939 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1940 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1941 DataType::QAsymmU8,
1942 DataType::QSymmS16
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]1943 };
1944
1945 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1946 "Reference stack: output type not supported");
1947 for (const TensorInfo* input : inputs)
1948 {
Narumol Prangnawaratac2770a2020-04-01 16:51:23 +0100[diff] [blame]1949 ARMNN_ASSERT(input != nullptr);
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]1950 supported &= CheckSupportRule(TypeAnyOf(*input, supportedTypes), reasonIfUnsupported,
1951 "Reference stack: input type not supported");
1952
1953 supported &= CheckSupportRule(TypesAreEqual(*input, output), reasonIfUnsupported,
1954 "Reference stack: input and output types mismatched.");
1955 }
1956
1957 return supported;
1958}
1959
Nattapat Chaimanowong1216b582018-11-23 15:33:41 +0000[diff] [blame]1960bool RefLayerSupport::IsStridedSliceSupported(const TensorInfo& input,
1961 const TensorInfo& output,
1962 const StridedSliceDescriptor& descriptor,
1963 Optional<std::string&> reasonIfUnsupported) const
1964{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1965 IgnoreUnused(descriptor);
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1966 bool supported = true;
1967
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1968 std::array<DataType,5> supportedTypes =
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1969 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1970 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1971 DataType::Float32,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1972 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1973 DataType::QAsymmU8,
1974 DataType::QSymmS16
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1975 };
1976
1977 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1978 "Reference StridedSlice: input type not supported");
1979
1980 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1981 "Reference StridedSlice: output type not supported");
1982
1983 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1984 "Reference StridedSlice: input and output types are mismatched");
1985
1986 return supported;
Nattapat Chaimanowong1216b582018-11-23 15:33:41 +0000[diff] [blame]1987}
1988
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1989bool RefLayerSupport::IsSubtractionSupported(const TensorInfo& input0,
1990 const TensorInfo& input1,
1991 const TensorInfo& output,
1992 Optional<std::string&> reasonIfUnsupported) const
1993{
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1994 bool supported = true;
1995
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]1996 std::array<DataType,7> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1997 DataType::BFloat16,
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1998 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1999 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2000 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]2001 DataType::QAsymmU8,
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]2002 DataType::QSymmS16,
2003 DataType::Signed32
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]2004 };
2005
2006 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
2007 "Reference subtraction: input 0 is not a supported type.");
2008
2009 supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
2010 "Reference subtraction: input 1 is not a supported type.");
2011
2012 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
2013 "Reference subtraction: output is not a supported type.");
2014
2015 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
2016 "Reference subtraction: input 0 and Input 1 types are mismatched");
2017
2018 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
2019 "Reference subtraction: input and output types are mismatched");
2020
2021 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
2022 "Reference subtraction: shapes are not suitable for implicit broadcast.");
2023
2024 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]2025}
2026
Matteo Martincighab9e5252019-06-13 17:27:46 +0100[diff] [blame]2027bool RefLayerSupport::IsPreluSupported(const TensorInfo& input,
2028 const TensorInfo& alpha,
2029 const TensorInfo& output,
2030 Optional<std::string&> reasonIfUnsupported) const
2031{
2032 bool supported = true;
2033
Teresa Charlin3940d8b2020-05-29 16:47:23 +0100[diff] [blame]2034 std::array<DataType, 6> supportedTypes
Matteo Martincighab9e5252019-06-13 17:27:46 +0100[diff] [blame]2035 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2036 DataType::BFloat16,
Matteo Martincighab9e5252019-06-13 17:27:46 +0100[diff] [blame]2037 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]2038 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2039 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]2040 DataType::QAsymmU8,
Teresa Charlin3940d8b2020-05-29 16:47:23 +0100[diff] [blame]2041 DataType::QSymmS16
Matteo Martincighab9e5252019-06-13 17:27:46 +0100[diff] [blame]2042 };
2043
2044 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
2045 "PReLU: input is not a supported type.");
2046
2047 supported &= CheckSupportRule(TypeAnyOf(alpha, supportedTypes), reasonIfUnsupported,
2048 "PReLU: alpha is not a supported type.");
2049
2050 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
2051 "PReLU: output is not a supported type.");
2052
2053 supported &= CheckSupportRule(TypesAreEqual(input, alpha, output), reasonIfUnsupported,
2054 "PReLU: input, alpha and output types are mismatched");
2055
2056 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input, alpha, output), reasonIfUnsupported,
2057 "PReLU: shapes are not suitable for implicit broadcast");
2058
2059 return supported;
2060}
2061
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2062bool RefLayerSupport::IsTransposeConvolution2dSupported(const TensorInfo& input,
2063 const TensorInfo& output,
2064 const TransposeConvolution2dDescriptor& descriptor,
2065 const TensorInfo& weights,
2066 const Optional<TensorInfo>& biases,
2067 Optional<std::string&> reasonIfUnsupported) const
2068{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]2069 IgnoreUnused(descriptor);
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2070 bool supported = true;
2071
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2072 std::array<DataType,7> supportedTypes =
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2073 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2074 DataType::BFloat16,
2075 DataType::Float32,
2076 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2077 DataType::QAsymmS8,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2078 DataType::QAsymmU8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2079 DataType::QSymmS8,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2080 DataType::QSymmS16
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2081 };
2082
2083 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
2084 "Reference TransposeConvolution2d: input is not a supported type.");
2085
2086 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
2087 "Reference TransposeConvolution2d: output is not a supported type.");
2088
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2089 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
2090 "Reference TransposeConvolution2d: input and output types mismatched.");
2091
Aron Virginas-Tar94d3b932019-11-11 12:54:47 +0000[diff] [blame]2092
2093 const DataType inputType = input.GetDataType();
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2094 if (IsQuantized8BitType(inputType))
Aron Virginas-Tar94d3b932019-11-11 12:54:47 +0000[diff] [blame]2095 {
Derek Lambertid466a542020-01-22 15:37:29 +0000[diff] [blame]2096 ARMNN_NO_DEPRECATE_WARN_BEGIN
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2097 std::array<DataType, 4> supportedWeightTypes =
Aron Virginas-Tar94d3b932019-11-11 12:54:47 +0000[diff] [blame]2098 {
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2099 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]2100 DataType::QAsymmU8,
Derek Lambertid466a542020-01-22 15:37:29 +0000[diff] [blame]2101 DataType::QSymmS8,
2102 DataType::QuantizedSymm8PerAxis //Deprecated
Aron Virginas-Tar94d3b932019-11-11 12:54:47 +0000[diff] [blame]2103 };
Derek Lambertid466a542020-01-22 15:37:29 +0000[diff] [blame]2104 ARMNN_NO_DEPRECATE_WARN_END
Aron Virginas-Tar94d3b932019-11-11 12:54:47 +0000[diff] [blame]2105
2106 supported &= CheckSupportRule(TypeAnyOf(weights, supportedWeightTypes), reasonIfUnsupported,
2107 "Reference TransposeConvolution2d: weights type not supported for "
2108 "quantized input.");
2109 }
2110 else
2111 {
2112 supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,
2113 "Reference TransposeConvolution2d: weights is not a supported type.");
2114
2115 supported &= CheckSupportRule(TypesAreEqual(input, weights), reasonIfUnsupported,
2116 "Reference TransposeConvolution2d: input and weights types mismatched.");
2117 }
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2118
2119 if (biases.has_value())
2120 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2121 std::array<DataType,4> biasesSupportedTypes =
Aron Virginas-Tar651aafe2019-08-05 11:52:05 +0100[diff] [blame]2122 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2123 DataType::BFloat16,
2124 DataType::Float32,
2125 DataType::Float16,
2126 DataType::Signed32
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2127 };
2128 supported &= CheckSupportRule(TypeAnyOf(biases.value(), biasesSupportedTypes), reasonIfUnsupported,
2129 "Reference TransposeConvolution2d: biases is not a supported type.");
2130 }
2131
2132 return supported;
2133}
2134
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]2135bool RefLayerSupport::IsTransposeSupported(const TensorInfo& input,
2136 const TensorInfo& output,
2137 const TransposeDescriptor& descriptor,
2138 Optional<std::string&> reasonIfUnsupported) const
2139{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]2140 IgnoreUnused(descriptor);
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]2141 bool supported = true;
2142
2143 // Define supported output and inputs types.
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2144 std::array<DataType, 6> supportedTypes =
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]2145 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2146 DataType::BFloat16,
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]2147 DataType::Float32,
2148 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2149 DataType::QAsymmS8,
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]2150 DataType::QAsymmU8,
2151 DataType::QSymmS16
2152 };
2153
2154 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
2155 "Reference transpose: input is not a supported type.");
2156
2157 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
2158 "Reference transpose: output is not a supported type.");
2159
2160 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
2161 "Reference transpose: input and output types are mismatched.");
2162
2163 return supported;
2164}
2165
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]2166} // namespace armnn