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review.mlplatform.org / ml / armnn / b392e9845b7f40ab0c389f29f13f6ec84dd814d1 / . / src / backends / reference / RefLayerSupport.cpp
blob: e278e45f0150b26a6827a2016bfa55430fcfcef1 [file] [log] [blame]
telsoa014fcda012018-03-09 14:13:49 +0000[diff] [blame]1//
Teresa Charlin52664732020-06-29 16:27:03 +0100[diff] [blame]2// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
David Beckecb56cd2018-09-05 12:52:57 +0100[diff] [blame]3// SPDX-License-Identifier: MIT
telsoa014fcda012018-03-09 14:13:49 +0000[diff] [blame]4//
5
telsoa014fcda012018-03-09 14:13:49 +0000[diff] [blame]6#include "RefLayerSupport.hpp"
David Beck3cc9a622018-10-12 10:38:31 +0100[diff] [blame]7
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]8#include <armnn/TypesUtils.hpp>
telsoa014fcda012018-03-09 14:13:49 +0000[diff] [blame]9#include <armnn/Types.hpp>
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]10#include <armnn/Descriptors.hpp>
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]11#include <armnn/utility/IgnoreUnused.hpp>
Matthew Sloyan171214c2020-09-09 09:07:37 +0100[diff] [blame]12#include <armnn/utility/NumericCast.hpp>
telsoa014fcda012018-03-09 14:13:49 +0000[diff] [blame]13
Matteo Martincighe011d202019-11-28 11:35:47 +0000[diff] [blame]14#include <LayerSupportCommon.hpp>
Derek Lambertif674aa02019-08-01 15:56:25 +0100[diff] [blame]15#include <backendsCommon/LayerSupportRules.hpp>
Matteo Martincighe011d202019-11-28 11:35:47 +0000[diff] [blame]16
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]17#include <vector>
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]18#include <array>
19
telsoa014fcda012018-03-09 14:13:49 +0000[diff] [blame]20namespace armnn
21{
22
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]23namespace
24{
25
26template<typename Float32Func, typename Uint8Func, typename ... Params>
27bool IsSupportedForDataTypeRef(Optional<std::string&> reasonIfUnsupported,
28 DataType dataType,
29 Float32Func floatFuncPtr,
30 Uint8Func uint8FuncPtr,
31 Params&&... params)
32{
33 return IsSupportedForDataTypeGeneric(reasonIfUnsupported,
34 dataType,
35 &FalseFunc<Params...>,
36 floatFuncPtr,
37 uint8FuncPtr,
narpra01db2b1602019-01-23 15:23:11 +0000[diff] [blame]38 &FalseFunc<Params...>,
kevmay012b4d88e2019-01-24 14:05:09 +0000[diff] [blame]39 &FalseFunc<Params...>,
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]40 std::forward<Params>(params)...);
41}
42
43} // anonymous namespace
44
James Conroy4d1ff582019-06-10 17:06:39 +0100[diff] [blame]45namespace
46{
47
48std::string CreateIncorrectDimensionsErrorMsg(unsigned int expected,
49 unsigned int actual,
50 std::string& layerStr,
51 std::string& tensorName)
52{
53 std::string errorMsg = "Reference " + layerStr + ": Expected " + std::to_string(expected) + " dimensions but got" +
54 " " + std::to_string(actual) + " dimensions instead, for the '" + tensorName + "' tensor.";
55
56 return errorMsg;
57}
58
59} // anonymous namespace
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]60
Sadik Armagan9199e582019-09-05 17:35:31 +0100[diff] [blame]61bool RefLayerSupport::IsAbsSupported(const TensorInfo& input, const TensorInfo& output,
62 Optional<std::string&> reasonIfUnsupported) const
63{
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]64 return IsElementwiseUnarySupported(input,
65 output,
66 ElementwiseUnaryDescriptor(UnaryOperation::Abs),
67 reasonIfUnsupported);
Sadik Armagan9199e582019-09-05 17:35:31 +0100[diff] [blame]68}
69
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]70bool RefLayerSupport::IsActivationSupported(const TensorInfo& input,
71 const TensorInfo& output,
72 const ActivationDescriptor& descriptor,
73 Optional<std::string&> reasonIfUnsupported) const
74{
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]75 bool supported = true;
76
77 // Define supported types.
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]78 std::array<DataType,6> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]79 DataType::BFloat16,
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]80 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]81 DataType::Float16,
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]82 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]83 DataType::QAsymmU8,
84 DataType::QSymmS16
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]85 };
86
87 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
88 "Reference activation: input type not supported.");
89
90 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
91 "Reference activation: output type not supported.");
92
93 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
94 "Reference activation: input and output types mismatched.");
95
96 supported &= CheckSupportRule(ShapesAreSameRank(input, output), reasonIfUnsupported,
97 "Reference activation: input and output shapes are of different rank.");
98
99
100 struct ActivationFunctionSupported : public Rule
101 {
102 ActivationFunctionSupported(const ActivationDescriptor& desc)
103 {
104 switch(desc.m_Function)
105 {
106 case ActivationFunction::Abs:
107 case ActivationFunction::BoundedReLu:
David Monahan3b3c3812020-02-25 09:03:29 +0000[diff] [blame]108 case ActivationFunction::Elu:
Colm Donelan03fbeaf2020-02-26 15:39:23 +0000[diff] [blame]109 case ActivationFunction::HardSwish:
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]110 case ActivationFunction::LeakyReLu:
111 case ActivationFunction::Linear:
112 case ActivationFunction::ReLu:
113 case ActivationFunction::Sigmoid:
114 case ActivationFunction::SoftReLu:
115 case ActivationFunction::Sqrt:
116 case ActivationFunction::Square:
117 case ActivationFunction::TanH:
118 {
119 m_Res = true;
120 break;
121 }
122 default:
123 {
124 m_Res = false;
125 break;
126 }
127 }
128 }
129 };
130
131 // Function is supported
132 supported &= CheckSupportRule(ActivationFunctionSupported(descriptor), reasonIfUnsupported,
133 "Reference activation: function not supported.");
134
135 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]136}
137
138bool RefLayerSupport::IsAdditionSupported(const TensorInfo& input0,
139 const TensorInfo& input1,
140 const TensorInfo& output,
141 Optional<std::string&> reasonIfUnsupported) const
142{
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]143 bool supported = true;
144
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]145 std::array<DataType,7> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]146 DataType::BFloat16,
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]147 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]148 DataType::Float16,
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]149 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]150 DataType::QAsymmU8,
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]151 DataType::QSymmS16,
152 DataType::Signed32
Derek Lamberti50db4e82019-03-13 14:16:15 +0000[diff] [blame]153 };
154
155 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
156 "Reference addition: input 0 is not a supported type.");
157
158 supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
159 "Reference addition: input 1 is not a supported type.");
160
161 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
162 "Reference addition: output is not a supported type.");
163
164 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
165 "Reference addition: input 0 and Input 1 types are mismatched");
166
167 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
168 "Reference addition: input and output types are mismatched");
169
170 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
171 "Reference addition: shapes are not suitable for implicit broadcast.");
172
173 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]174}
175
Nikhil Raj68c2c902019-09-19 11:21:11 +0100[diff] [blame]176bool RefLayerSupport::IsArgMinMaxSupported(const armnn::TensorInfo &input, const armnn::TensorInfo &output,
177 const armnn::ArgMinMaxDescriptor &descriptor,
178 armnn::Optional<std::string &> reasonIfUnsupported) const
179{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]180 IgnoreUnused(descriptor);
Nikhil Raj68c2c902019-09-19 11:21:11 +0100[diff] [blame]181
Mike Kelly1f140f72021-04-06 12:25:55 +0100[diff] [blame]182 std::array<DataType, 8> supportedInputTypes =
Nikhil Raj68c2c902019-09-19 11:21:11 +0100[diff] [blame]183 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]184 DataType::BFloat16,
Teresa Charline300b362020-05-25 10:01:03 +0100[diff] [blame]185 DataType::Float16,
Nikhil Raj68c2c902019-09-19 11:21:11 +0100[diff] [blame]186 DataType::Float32,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]187 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]188 DataType::QAsymmU8,
189 DataType::QSymmS16,
Mike Kelly1f140f72021-04-06 12:25:55 +0100[diff] [blame]190 DataType::Signed32,
191 DataType::Signed64
192 };
193
194 std::array<DataType,2> supportedOutputTypes = {
195 DataType::Signed32,
196 DataType::Signed64
Nikhil Raj68c2c902019-09-19 11:21:11 +0100[diff] [blame]197 };
198
199 bool supported = true;
200
Mike Kelly1f140f72021-04-06 12:25:55 +0100[diff] [blame]201 supported &= CheckSupportRule(TypeAnyOf(input, supportedInputTypes), reasonIfUnsupported,
Nikhil Raj68c2c902019-09-19 11:21:11 +0100[diff] [blame]202 "Reference ArgMinMax: input is not a supported type.");
Mike Kelly1f140f72021-04-06 12:25:55 +0100[diff] [blame]203 supported &= CheckSupportRule(TypeAnyOf(output, supportedOutputTypes), reasonIfUnsupported,
Nikhil Raj68c2c902019-09-19 11:21:11 +0100[diff] [blame]204 "Reference ArgMinMax: output type not supported");
205
206 return supported;
207}
208
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]209bool RefLayerSupport::IsBatchNormalizationSupported(const TensorInfo& input,
210 const TensorInfo& output,
211 const TensorInfo& mean,
Matteo Martincigh3122bd52019-06-03 16:54:25 +0100[diff] [blame]212 const TensorInfo& variance,
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]213 const TensorInfo& beta,
214 const TensorInfo& gamma,
215 const BatchNormalizationDescriptor& descriptor,
216 Optional<std::string&> reasonIfUnsupported) const
217{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]218 IgnoreUnused(descriptor);
Matteo Martincigh3122bd52019-06-03 16:54:25 +0100[diff] [blame]219
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]220 std::array<DataType, 6> supportedTypes =
Matteo Martincigh3122bd52019-06-03 16:54:25 +0100[diff] [blame]221 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]222 DataType::BFloat16,
Matteo Martincigh3122bd52019-06-03 16:54:25 +0100[diff] [blame]223 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]224 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]225 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]226 DataType::QAsymmU8,
227 DataType::QSymmS16
Matteo Martincigh3122bd52019-06-03 16:54:25 +0100[diff] [blame]228 };
229
230 bool supported = true;
231
232 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
233 "Reference batch normalization: input is not a supported type.");
234
235 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
236 "Reference batch normalization: output is not a supported type.");
237
238 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
239 "Reference batch normalization: input and output types are mismatched");
240
241 supported &= CheckSupportRule(TypeAnyOf(mean, supportedTypes), reasonIfUnsupported,
242 "Reference batch normalization: mean is not a supported type.");
243
244 supported &= CheckSupportRule(TypeAnyOf(variance, supportedTypes), reasonIfUnsupported,
245 "Reference batch normalization: variance is not a supported type.");
246
247 supported &= CheckSupportRule(TypeAnyOf(beta, supportedTypes), reasonIfUnsupported,
248 "Reference batch normalization: beta is not a supported type.");
249
250 supported &= CheckSupportRule(TypeAnyOf(gamma, supportedTypes), reasonIfUnsupported,
251 "Reference batch normalization: gamma is not a supported type.");
252
253 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]254}
255
Éanna Ó Catháin4e1e1362018-11-12 11:36:34 +0000[diff] [blame]256bool RefLayerSupport::IsBatchToSpaceNdSupported(const TensorInfo& input,
257 const TensorInfo& output,
258 const BatchToSpaceNdDescriptor& descriptor,
259 Optional<std::string&> reasonIfUnsupported) const
260{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]261 IgnoreUnused(descriptor);
Francis Murtaghd0dfe172019-06-25 10:57:10 +0100[diff] [blame]262
263 bool supported = true;
264
265 std::string batchToSpaceNdLayerStr = "batchToSpaceNd";
266 std::string inputTensorStr = "input";
267 std::string outputTensorStr = "output";
268
269 // Define supported types.
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]270 std::array<DataType,6> supportedTypes =
Francis Murtaghd0dfe172019-06-25 10:57:10 +0100[diff] [blame]271 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]272 DataType::BFloat16,
273 DataType::Float32,
274 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]275 DataType::QAsymmS8,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]276 DataType::QAsymmU8,
277 DataType::QSymmS16
Francis Murtaghd0dfe172019-06-25 10:57:10 +0100[diff] [blame]278 };
279
280 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
281 "Reference BatchToSpaceNd: input type not supported.");
282
283 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
284 "Reference BatchToSpaceNd: output type not supported.");
285
286 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
287 "Reference BatchToSpaceNd: input and output types mismatched.");
288
289 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(output, 4),
290 reasonIfUnsupported,
291 CreateIncorrectDimensionsErrorMsg(4,
292 output.GetNumDimensions(),
293 batchToSpaceNdLayerStr,
294 outputTensorStr).data());
295
296 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(input, 4),
297 reasonIfUnsupported,
298 CreateIncorrectDimensionsErrorMsg(4,
299 input.GetNumDimensions(),
300 batchToSpaceNdLayerStr,
301 inputTensorStr).data());
302
303 return supported;
Éanna Ó Catháin4e1e1362018-11-12 11:36:34 +0000[diff] [blame]304}
305
mathad01b392e982021-04-07 12:07:30 +0100[diff] [blame^]306bool RefLayerSupport::IsCastSupported(const TensorInfo& input,
307 const TensorInfo& output,
308 Optional<std::string&> reasonIfUnsupported) const
309{
310 std::array<DataType, 9> supportedInputTypes =
311 {
312 DataType::BFloat16,
313 DataType::Float32,
314 DataType::Float16,
315 DataType::QSymmS8,
316 DataType::QAsymmS8,
317 DataType::QAsymmU8,
318 DataType::QSymmS16,
319 DataType::Signed32
320 };
321
322 bool supported = true;
323 supported &= CheckSupportRule(TypeAnyOf(input, supportedInputTypes), reasonIfUnsupported,
324 "Reference cast: input is not a supported type");
325
326
327 supported &= CheckSupportRule(TypeAnyOf(output, supportedInputTypes), reasonIfUnsupported,
328 "Reference cast: output is not a supported type");
329
330 supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
331 "Reference cast: input and output shapes have different number of total elements");
332
333 return supported;
334}
335
Aron Virginas-Tar77bfb5e2019-10-16 17:45:38 +0100[diff] [blame]336bool RefLayerSupport::IsComparisonSupported(const TensorInfo& input0,
337 const TensorInfo& input1,
338 const TensorInfo& output,
339 const ComparisonDescriptor& descriptor,
340 Optional<std::string&> reasonIfUnsupported) const
341{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]342 IgnoreUnused(descriptor);
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]343 std::array<DataType, 8> supportedInputTypes =
Aron Virginas-Tar77bfb5e2019-10-16 17:45:38 +0100[diff] [blame]344 {
Sadik Armaganb60dd242020-03-19 13:53:16 +0000[diff] [blame]345 DataType::Boolean,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]346 DataType::BFloat16,
Aron Virginas-Tar77bfb5e2019-10-16 17:45:38 +0100[diff] [blame]347 DataType::Float32,
348 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]349 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]350 DataType::QAsymmU8,
Sadik Armaganb60dd242020-03-19 13:53:16 +0000[diff] [blame]351 DataType::QSymmS16,
352 DataType::Signed32
Aron Virginas-Tar77bfb5e2019-10-16 17:45:38 +0100[diff] [blame]353 };
354
355 bool supported = true;
356 supported &= CheckSupportRule(TypeAnyOf(input0, supportedInputTypes), reasonIfUnsupported,
357 "Reference comparison: input 0 is not a supported type");
358
359 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
360 "Reference comparison: input 0 and Input 1 types are mismatched");
361
362 supported &= CheckSupportRule(TypeIs(output, DataType::Boolean), reasonIfUnsupported,
363 "Reference comparison: output is not of type Boolean");
364
365 return supported;
366}
367
Jim Flynn906f9462019-05-10 13:55:21 +0100[diff] [blame]368bool RefLayerSupport::IsConcatSupported(const std::vector<const TensorInfo*> inputs,
369 const TensorInfo& output,
Jim Flynne242f2d2019-05-22 14:24:13 +0100[diff] [blame]370 const ConcatDescriptor& descriptor,
Jim Flynn906f9462019-05-10 13:55:21 +0100[diff] [blame]371 Optional<std::string&> reasonIfUnsupported) const
372{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]373 IgnoreUnused(descriptor);
Jim Flynne242f2d2019-05-22 14:24:13 +0100[diff] [blame]374
375 bool supported = true;
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]376 std::array<DataType,6> supportedTypes =
Jim Flynne242f2d2019-05-22 14:24:13 +0100[diff] [blame]377 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]378 DataType::BFloat16,
379 DataType::Float32,
380 DataType::Float16,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]381 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]382 DataType::QAsymmU8,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]383 DataType::QSymmS16
Jim Flynne242f2d2019-05-22 14:24:13 +0100[diff] [blame]384 };
385
386 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
387 "Reference concatenation: output type not supported");
388 for (const TensorInfo* input : inputs)
389 {
Narumol Prangnawaratac2770a2020-04-01 16:51:23 +0100[diff] [blame]390 ARMNN_ASSERT(input != nullptr);
Jim Flynne242f2d2019-05-22 14:24:13 +0100[diff] [blame]391 supported &= CheckSupportRule(TypeAnyOf(*input, supportedTypes), reasonIfUnsupported,
392 "Reference concatenation: input type not supported");
393
394 supported &= CheckSupportRule(TypesAreEqual(*input, output), reasonIfUnsupported,
395 "Reference concatenation: input and output types mismatched.");
396 }
397
398 return supported;
Jim Flynn906f9462019-05-10 13:55:21 +0100[diff] [blame]399}
400
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]401bool RefLayerSupport::IsConstantSupported(const TensorInfo& output,
402 Optional<std::string&> reasonIfUnsupported) const
403{
Teresa Charlin6fa8ce62020-05-25 16:16:44 +0100[diff] [blame]404 std::array<DataType,8> supportedTypes =
Jim Flynne242f2d2019-05-22 14:24:13 +0100[diff] [blame]405 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]406 DataType::BFloat16,
Teresa Charlin6fa8ce62020-05-25 16:16:44 +0100[diff] [blame]407 DataType::Float16,
Nina Drozd58ef2c62019-05-16 12:09:18 +0100[diff] [blame]408 DataType::Float32,
Keith Davis67e6c542020-02-19 10:08:33 +0000[diff] [blame]409 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]410 DataType::QAsymmU8,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]411 DataType::QSymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]412 DataType::QSymmS16,
413 DataType::Signed32
Nina Drozd58ef2c62019-05-16 12:09:18 +0100[diff] [blame]414 };
415
416 return CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
417 "Reference constant: output is not a supported type.");
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]418}
419
Narumol Prangnawarat7ddbbae2020-03-13 10:26:05 +0000[diff] [blame]420bool RefLayerSupport::IsConvertBf16ToFp32Supported(const TensorInfo& input,
421 const TensorInfo& output,
422 Optional<std::string&> reasonIfUnsupported) const
423{
424 bool supported = true;
425
426 supported &= CheckSupportRule(TypeIs(input, DataType::BFloat16), reasonIfUnsupported,
427 "Reference for ConvertBf16ToFp32 layer: input type not supported");
428
429 supported &= CheckSupportRule(TypeIs(output, DataType::Float32), reasonIfUnsupported,
430 "Reference for ConvertBf16ToFp32 layer: output type not supported");
431
432 return supported;
433}
434
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]435bool RefLayerSupport::IsConvertFp16ToFp32Supported(const TensorInfo& input,
436 const TensorInfo& output,
437 Optional<std::string&> reasonIfUnsupported) const
438{
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]439 return (IsSupportedForDataTypeGeneric(reasonIfUnsupported,
440 input.GetDataType(),
441 &TrueFunc<>,
442 &FalseInputFuncF32<>,
narpra01db2b1602019-01-23 15:23:11 +0000[diff] [blame]443 &FalseFuncU8<>,
kevmay012b4d88e2019-01-24 14:05:09 +0000[diff] [blame]444 &FalseFuncI32<>,
445 &FalseFuncU8<>) &&
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]446 IsSupportedForDataTypeGeneric(reasonIfUnsupported,
447 output.GetDataType(),
448 &FalseOutputFuncF16<>,
449 &TrueFunc<>,
narpra01db2b1602019-01-23 15:23:11 +0000[diff] [blame]450 &FalseFuncU8<>,
kevmay012b4d88e2019-01-24 14:05:09 +0000[diff] [blame]451 &FalseFuncI32<>,
452 &FalseFuncU8<>));
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]453}
454
Narumol Prangnawaratea54a012020-03-16 16:36:10 +0000[diff] [blame]455bool RefLayerSupport::IsConvertFp32ToBf16Supported(const TensorInfo& input,
456 const TensorInfo& output,
457 Optional<std::string&> reasonIfUnsupported) const
458{
459 bool supported = true;
460
461 supported &= CheckSupportRule(TypeIs(input, DataType::Float32), reasonIfUnsupported,
462 "Reference for ConvertFp32ToBf16 layer: input type not supported");
463
464 supported &= CheckSupportRule(TypeIs(output, DataType::BFloat16), reasonIfUnsupported,
465 "Reference for ConvertFp32ToBf16 layer: output type not supported");
466
467 return supported;
468}
469
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]470bool RefLayerSupport::IsConvertFp32ToFp16Supported(const TensorInfo& input,
471 const TensorInfo& output,
472 Optional<std::string&> reasonIfUnsupported) const
473{
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]474 return (IsSupportedForDataTypeGeneric(reasonIfUnsupported,
475 input.GetDataType(),
476 &FalseInputFuncF16<>,
477 &TrueFunc<>,
narpra01db2b1602019-01-23 15:23:11 +0000[diff] [blame]478 &FalseFuncU8<>,
kevmay012b4d88e2019-01-24 14:05:09 +0000[diff] [blame]479 &FalseFuncI32<>,
480 &FalseFuncU8<>) &&
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]481 IsSupportedForDataTypeGeneric(reasonIfUnsupported,
482 output.GetDataType(),
483 &TrueFunc<>,
484 &FalseOutputFuncF32<>,
narpra01db2b1602019-01-23 15:23:11 +0000[diff] [blame]485 &FalseFuncU8<>,
kevmay012b4d88e2019-01-24 14:05:09 +0000[diff] [blame]486 &FalseFuncI32<>,
487 &FalseFuncU8<>));
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]488}
489
490bool RefLayerSupport::IsConvolution2dSupported(const TensorInfo& input,
491 const TensorInfo& output,
492 const Convolution2dDescriptor& descriptor,
493 const TensorInfo& weights,
494 const Optional<TensorInfo>& biases,
495 Optional<std::string&> reasonIfUnsupported) const
496{
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]497 bool supported = true;
498
499 // Define supported types.
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]500 std::array<DataType,7> supportedTypes =
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]501 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]502 DataType::BFloat16,
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]503 DataType::Float32,
504 DataType::Float16,
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]505 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]506 DataType::QAsymmU8,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]507 DataType::QSymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]508 DataType::QSymmS16
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]509 };
510
511 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]512 "Reference Convolution2d: input is not a supported type.");
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]513
514 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]515 "Reference Convolution2d: output is not a supported type.");
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]516
Narumol Prangnawarat57ef0082020-03-26 09:20:43 +0000[diff] [blame]517 // For Convolution2d, we allow to have BFloat16 input with Float32 output for optimization.
518 if (input.GetDataType() == DataType::BFloat16)
519 {
520 if (output.GetDataType() != DataType::BFloat16 && output.GetDataType() != DataType::Float32)
521 {
522 reasonIfUnsupported.value() += "Output tensor type must be BFloat16 or Float32 for BFloat16 input.\n";
523 supported = false;
524 }
525 }
526 else
527 {
528 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]529 "Reference Convolution2d: input and output types mismatched.");
Narumol Prangnawarat57ef0082020-03-26 09:20:43 +0000[diff] [blame]530 }
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]531
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]532 const DataType inputType = input.GetDataType();
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]533 if (IsQuantized8BitType(inputType))
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]534 {
Derek Lambertid466a542020-01-22 15:37:29 +0000[diff] [blame]535 ARMNN_NO_DEPRECATE_WARN_BEGIN
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]536 std::array<DataType, 4> supportedWeightTypes =
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]537 {
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]538 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]539 DataType::QAsymmU8,
Derek Lambertid466a542020-01-22 15:37:29 +0000[diff] [blame]540 DataType::QSymmS8,
541 DataType::QuantizedSymm8PerAxis // deprecated
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]542 };
Derek Lambertid466a542020-01-22 15:37:29 +0000[diff] [blame]543 ARMNN_NO_DEPRECATE_WARN_END
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]544
545 supported &= CheckSupportRule(TypeAnyOf(weights, supportedWeightTypes), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]546 "Reference Convolution2d: weights type not supported for quantized input.");
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]547 }
548 else
549 {
550 supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]551 "Reference Convolution2d: weights is not a supported type.");
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]552
553 supported &= CheckSupportRule(TypesAreEqual(input, weights), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]554 "Reference Convolution2d: input and weights types mismatched.");
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]555 }
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]556
557 if (biases.has_value())
558 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]559 std::array<DataType,4> biasesSupportedTypes =
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]560 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]561 DataType::BFloat16,
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]562 DataType::Float32,
563 DataType::Float16,
564 DataType::Signed32
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]565 };
Aron Virginas-Tar5edc8812019-11-05 18:00:21 +0000[diff] [blame]566
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]567 supported &= CheckSupportRule(TypeAnyOf(biases.value(), biasesSupportedTypes), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]568 "Reference Convolution2d: biases is not a supported type.");
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]569 }
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]570 IgnoreUnused(descriptor);
Mike Kelly2f80f6e2019-05-16 12:41:34 +0100[diff] [blame]571
572 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]573}
574
Nattapat Chaimanowongcfdcadf2018-12-06 11:54:33 +0000[diff] [blame]575bool RefLayerSupport::IsDebugSupported(const TensorInfo& input,
576 const TensorInfo& output,
Nattapat Chaimanowongcfdcadf2018-12-06 11:54:33 +0000[diff] [blame]577 Optional<std::string&> reasonIfUnsupported) const
578{
Narumol Prangnawarat47cfee92019-07-04 10:29:00 +0100[diff] [blame]579 bool supported = true;
580
Narumol Prangnawarat403a1852020-03-12 14:24:13 +0000[diff] [blame]581 std::array<DataType, 8> supportedTypes =
Narumol Prangnawarat47cfee92019-07-04 10:29:00 +0100[diff] [blame]582 {
Narumol Prangnawarat403a1852020-03-12 14:24:13 +0000[diff] [blame]583 DataType::BFloat16,
Aron Virginas-Tardb1a2832019-11-12 16:15:11 +0000[diff] [blame]584 DataType::Float16,
Narumol Prangnawarat47cfee92019-07-04 10:29:00 +0100[diff] [blame]585 DataType::Float32,
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]586 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]587 DataType::QAsymmU8,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]588 DataType::QSymmS8,
Narumol Prangnawaratd2d917d2020-01-09 10:16:39 +0000[diff] [blame]589 DataType::QSymmS16,
590 DataType::Signed32
Narumol Prangnawarat47cfee92019-07-04 10:29:00 +0100[diff] [blame]591 };
592
593 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]594 "Reference for Debug layer: input type not supported");
Narumol Prangnawarat47cfee92019-07-04 10:29:00 +0100[diff] [blame]595
596 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]597 "Reference for Debug layer: output type not supported");
Narumol Prangnawarat47cfee92019-07-04 10:29:00 +0100[diff] [blame]598
599 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]600 "Reference for Debug layer: input and output types are mismatched");
Narumol Prangnawarat47cfee92019-07-04 10:29:00 +0100[diff] [blame]601
602 return supported;
Nattapat Chaimanowongcfdcadf2018-12-06 11:54:33 +0000[diff] [blame]603}
604
Aron Virginas-Tar73f66422019-09-23 19:11:59 +0100[diff] [blame]605bool RefLayerSupport::IsDepthToSpaceSupported(const TensorInfo& input,
606 const TensorInfo& output,
607 const DepthToSpaceDescriptor& descriptor,
608 Optional<std::string&> reasonIfUnsupported) const
609{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]610 IgnoreUnused(descriptor);
Aron Virginas-Tar73f66422019-09-23 19:11:59 +0100[diff] [blame]611 bool supported = true;
612
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]613 std::array<DataType,6> supportedTypes =
Aron Virginas-Tar73f66422019-09-23 19:11:59 +0100[diff] [blame]614 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]615 DataType::BFloat16,
Aron Virginas-Tar73f66422019-09-23 19:11:59 +0100[diff] [blame]616 DataType::Float32,
617 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]618 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]619 DataType::QAsymmU8,
620 DataType::QSymmS16
Aron Virginas-Tar73f66422019-09-23 19:11:59 +0100[diff] [blame]621 };
622
623 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
624 "Reference DepthToSpace: input type not supported");
625
626 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
627 "Reference DepthToSpace: output type not supported");
628
629 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
630 "Reference DepthToSpace: input and output types are mismatched");
631
632 return supported;
633}
634
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]635bool RefLayerSupport::IsDepthwiseConvolutionSupported(const TensorInfo& input,
636 const TensorInfo& output,
637 const DepthwiseConvolution2dDescriptor& descriptor,
638 const TensorInfo& weights,
639 const Optional<TensorInfo>& biases,
640 Optional<std::string&> reasonIfUnsupported) const
641{
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]642 IgnoreUnused(descriptor);
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]643 bool supported = true;
644
645 // Define supported types.
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]646 std::array<DataType,7> supportedTypes =
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]647 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]648 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]649 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]650 DataType::Float16,
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]651 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]652 DataType::QAsymmU8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]653 DataType::QSymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]654 DataType::QSymmS16
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]655 };
656
657 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
658 "Reference DepthwiseConvolution2d: input is not a supported type.");
659
660 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
661 "Reference DepthwiseConvolution2d: output is not a supported type.");
662
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]663 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
664 "Reference DepthwiseConvolution2d: input and output types mismatched.");
665
Teresa Charlind8df0262019-11-11 12:28:15 +0000[diff] [blame]666 const DataType inputType = input.GetDataType();
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]667 if (IsQuantized8BitType(inputType))
Teresa Charlind8df0262019-11-11 12:28:15 +0000[diff] [blame]668 {
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]669 ARMNN_NO_DEPRECATE_WARN_BEGIN
670 std::array<DataType, 4> supportedWeightTypes =
671 {
672 DataType::QAsymmS8,
673 DataType::QAsymmU8,
674 DataType::QSymmS8,
675 DataType::QuantizedSymm8PerAxis // deprecated
676 };
677 ARMNN_NO_DEPRECATE_WARN_END
Teresa Charlind8df0262019-11-11 12:28:15 +0000[diff] [blame]678
679 supported &= CheckSupportRule(TypeAnyOf(weights, supportedWeightTypes), reasonIfUnsupported,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]680 "Reference DepthwiseConvolution2d: weights type not supported for "
681 "quantized input.");
Teresa Charlind8df0262019-11-11 12:28:15 +0000[diff] [blame]682 }
683 else
684 {
685 supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,
686 "Reference DepthwiseConvolution2d: weights is not a supported type.");
687
688 supported &= CheckSupportRule(TypesAreEqual(input, weights), reasonIfUnsupported,
689 "Reference DepthwiseConvolution2d: input and weights types mismatched.");
690 }
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]691
692 if (biases.has_value())
693 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]694 std::array<DataType,4> biasesSupportedTypes =
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]695 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]696 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]697 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]698 DataType::Float16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]699 DataType::Signed32
700 };
701 supported &= CheckSupportRule(TypeAnyOf(biases.value(), biasesSupportedTypes), reasonIfUnsupported,
702 "Reference DepthwiseConvolution2d: biases is not a supported type.");
703 }
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]704
705 return supported;
706
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]707}
708
Nattapat Chaimanowong8a54ac02019-03-29 15:25:04 +0000[diff] [blame]709bool RefLayerSupport::IsDequantizeSupported(const TensorInfo& input,
710 const TensorInfo& output,
711 Optional<std::string&> reasonIfUnsupported) const
712{
Nattapat Chaimanowongafa4e3a2019-04-02 11:41:45 +0100[diff] [blame]713 bool supported = true;
714
Ryan OShea9add1202020-02-07 10:06:33 +0000[diff] [blame]715 std::array<DataType,4> supportedInputTypes = {
716 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]717 DataType::QAsymmU8,
Finn Williamsfd271062019-12-04 14:27:27 +0000[diff] [blame]718 DataType::QSymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]719 DataType::QSymmS16
Nattapat Chaimanowongafa4e3a2019-04-02 11:41:45 +0100[diff] [blame]720 };
721
722 supported &= CheckSupportRule(TypeAnyOf(input, supportedInputTypes), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]723 "Reference for Dequantize layer: input type not supported.");
724
725 supported &= CheckSupportRule( TypeNotPerAxisQuantized(input), reasonIfUnsupported,
726 "Reference for Dequantize layer: per-axis quantized input not support .");
Nattapat Chaimanowongafa4e3a2019-04-02 11:41:45 +0100[diff] [blame]727
Derek Lambertid466a542020-01-22 15:37:29 +0000[diff] [blame]728 supported &= CheckSupportRule(TypeNotPerAxisQuantized(input), reasonIfUnsupported,
729 "Reference dequantize: per-axis quantized input not support .");
730
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]731 std::array<DataType,3> supportedOutputTypes = {
732 DataType::BFloat16,
Jan Eilersf7107932019-11-01 11:09:36 +0000[diff] [blame]733 DataType::Float32,
734 DataType::Float16
Nattapat Chaimanowongafa4e3a2019-04-02 11:41:45 +0100[diff] [blame]735 };
736
737 supported &= CheckSupportRule(TypeAnyOf(output, supportedOutputTypes), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]738 "Reference for Dequantize layer: output type not supported.");
Nattapat Chaimanowongafa4e3a2019-04-02 11:41:45 +0100[diff] [blame]739
740 supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
Keith Davis5204aa82020-01-27 15:24:59 +0000[diff] [blame]741 "Reference for Dequantize layer: input/output shapes have different num total "
742 "elements.");
Nattapat Chaimanowongafa4e3a2019-04-02 11:41:45 +0100[diff] [blame]743
744 return supported;
Nattapat Chaimanowong8a54ac02019-03-29 15:25:04 +0000[diff] [blame]745}
746
Derek Lamberti6a5e5e82019-12-05 14:41:20 +0000[diff] [blame]747bool RefLayerSupport::IsDetectionPostProcessSupported(const TensorInfo& boxEncodings,
748 const TensorInfo& scores,
749 const TensorInfo& anchors,
750 const TensorInfo& detectionBoxes,
751 const TensorInfo& detectionClasses,
752 const TensorInfo& detectionScores,
753 const TensorInfo& numDetections,
754 const DetectionPostProcessDescriptor& descriptor,
755 Optional<std::string&> reasonIfUnsupported) const
Narumol Prangnawaratbc67cef2019-01-31 15:31:54 +0000[diff] [blame]756{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]757 IgnoreUnused(anchors, detectionBoxes, detectionClasses, detectionScores, numDetections, descriptor);
Derek Lamberti901ea112019-12-10 22:07:09 +0000[diff] [blame]758
Aron Virginas-Tara37e1bd2019-06-06 16:08:30 +0100[diff] [blame]759 bool supported = true;
760
Sadik Armaganaa41d5d2020-11-16 14:27:52 +0000[diff] [blame]761 std::array<DataType,6> supportedInputTypes =
Aron Virginas-Tara37e1bd2019-06-06 16:08:30 +0100[diff] [blame]762 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]763 DataType::BFloat16,
Aron Virginas-Tara37e1bd2019-06-06 16:08:30 +0100[diff] [blame]764 DataType::Float32,
Sadik Armaganaa41d5d2020-11-16 14:27:52 +0000[diff] [blame]765 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]766 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]767 DataType::QAsymmU8,
768 DataType::QSymmS16
Aron Virginas-Tara37e1bd2019-06-06 16:08:30 +0100[diff] [blame]769 };
770
Derek Lamberti6a5e5e82019-12-05 14:41:20 +0000[diff] [blame]771 supported &= CheckSupportRule(TypeAnyOf(boxEncodings, supportedInputTypes), reasonIfUnsupported,
Aron Virginas-Tara37e1bd2019-06-06 16:08:30 +0100[diff] [blame]772 "Reference DetectionPostProcess: input 0 is not a supported type.");
773
Derek Lamberti6a5e5e82019-12-05 14:41:20 +0000[diff] [blame]774 supported &= CheckSupportRule(TypeAnyOf(scores, supportedInputTypes), reasonIfUnsupported,
Aron Virginas-Tara37e1bd2019-06-06 16:08:30 +0100[diff] [blame]775 "Reference DetectionPostProcess: input 1 is not a supported type.");
776
777 return supported;
Narumol Prangnawaratbc67cef2019-01-31 15:31:54 +0000[diff] [blame]778}
779
Pablo Tellof0bd6832019-04-26 17:58:13 +0100[diff] [blame]780bool RefLayerSupport::IsDilatedDepthwiseConvolutionSupported(const TensorInfo& input,
781 const TensorInfo& output,
782 const DepthwiseConvolution2dDescriptor& descriptor,
783 const TensorInfo& weights,
784 const Optional<TensorInfo>& biases,
785 Optional<std::string&> reasonIfUnsupported) const
786{
Aron Virginas-Taraece4ed2019-06-14 17:00:09 +0100[diff] [blame]787 return IsDepthwiseConvolutionSupported(input, output, descriptor, weights, biases, reasonIfUnsupported);
Pablo Tellof0bd6832019-04-26 17:58:13 +0100[diff] [blame]788}
789
Aron Virginas-Taraece4ed2019-06-14 17:00:09 +0100[diff] [blame]790bool RefLayerSupport::IsDivisionSupported(const TensorInfo& input0,
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]791 const TensorInfo& input1,
792 const TensorInfo& output,
793 Optional<std::string&> reasonIfUnsupported) const
794{
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]795 bool supported = true;
796
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]797 std::array<DataType,7> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]798 DataType::BFloat16,
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]799 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]800 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]801 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]802 DataType::QAsymmU8,
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]803 DataType::QSymmS16,
804 DataType::Signed32
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]805 };
806
807 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
808 "Reference division: input 0 is not a supported type.");
809
810 supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
811 "Reference division: input 1 is not a supported type.");
812
813 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
814 "Reference division: output is not a supported type.");
815
816 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
817 "Reference division: input 0 and Input 1 types are mismatched");
818
819 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
820 "Reference division: input and output types are mismatched");
821
822 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
823 "Reference division: shapes are not suitable for implicit broadcast.");
824
825 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]826}
827
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]828bool RefLayerSupport::IsElementwiseUnarySupported(const TensorInfo& input,
829 const TensorInfo& output,
830 const ElementwiseUnaryDescriptor& descriptor,
831 Optional<std::string&> reasonIfUnsupported) const
832{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]833 IgnoreUnused(descriptor);
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]834
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]835 std::array<DataType, 7> supportedTypes =
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]836 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]837 DataType::BFloat16,
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]838 DataType::Float32,
839 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]840 DataType::QAsymmS8,
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]841 DataType::QAsymmU8,
Sadik Armaganac472102020-03-24 09:54:36 +0000[diff] [blame]842 DataType::QSymmS16,
843 DataType::Signed32
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]844 };
845
Narumol Prangnawarat0c95f4c2020-11-18 16:52:07 +0000[diff] [blame]846 std::array<DataType, 1> logicalSupportedTypes =
847 {
848 DataType::Boolean
849 };
850
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]851 bool supported = true;
852
Narumol Prangnawarat0c95f4c2020-11-18 16:52:07 +0000[diff] [blame]853 if (descriptor.m_Operation == UnaryOperation::LogicalNot)
854 {
855 supported &= CheckSupportRule(TypeAnyOf(input, logicalSupportedTypes), reasonIfUnsupported,
856 "Reference elementwise unary: input type not supported");
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]857
Narumol Prangnawarat0c95f4c2020-11-18 16:52:07 +0000[diff] [blame]858 supported &= CheckSupportRule(TypeAnyOf(output, logicalSupportedTypes), reasonIfUnsupported,
859 "Reference elementwise unary: output type not supported");
860 }
861 else
862 {
863 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
864 "Reference elementwise unary: input type not supported");
865
866 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
867 "Reference elementwise unary: output type not supported");
868 }
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]869
870 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
871 "Reference elementwise unary: input and output types not matching");
872
873 supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
874 "Reference elementwise unary: input and output shapes"
875 "have different number of total elements");
876
877 return supported;
878}
879
FrancisMurtagh30cdfca2018-12-18 12:57:35 +0000[diff] [blame]880bool RefLayerSupport::IsEqualSupported(const TensorInfo& input0,
881 const TensorInfo& input1,
882 const TensorInfo& output,
883 Optional<std::string&> reasonIfUnsupported) const
884{
Aron Virginas-Tar77bfb5e2019-10-16 17:45:38 +0100[diff] [blame]885 return IsComparisonSupported(input0,
886 input1,
887 output,
888 ComparisonDescriptor(ComparisonOperation::Equal),
889 reasonIfUnsupported);
FrancisMurtagh30cdfca2018-12-18 12:57:35 +0000[diff] [blame]890}
891
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]892bool RefLayerSupport::IsFakeQuantizationSupported(const TensorInfo& input,
893 const FakeQuantizationDescriptor& descriptor,
894 Optional<std::string&> reasonIfUnsupported) const
895{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]896 IgnoreUnused(descriptor);
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]897 bool supported = true;
898
899 std::array<DataType,1> supportedTypes =
900 {
901 DataType::Float32
902 };
903
904 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
905 "Reference fake quantization: input type not supported.");
906
907 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]908}
909
Ryan OSheaf4bfa6a2020-06-10 11:33:37 +0100[diff] [blame]910bool RefLayerSupport::IsFillSupported(const TensorInfo& input,
911 const TensorInfo& output,
912 const FillDescriptor& descriptor,
913 Optional<std::string&> reasonIfUnsupported) const
914{
915 IgnoreUnused(descriptor);
916 IgnoreUnused(output);
917
918 bool supported = true;
919
Sadik Armagana792a052020-06-23 16:22:23 +0100[diff] [blame]920 std::array<DataType,3> supportedTypes =
Ryan OSheaf4bfa6a2020-06-10 11:33:37 +0100[diff] [blame]921 {
922 DataType::Float32,
Sadik Armagana792a052020-06-23 16:22:23 +0100[diff] [blame]923 DataType::Float16,
924 DataType::Signed32
Ryan OSheaf4bfa6a2020-06-10 11:33:37 +0100[diff] [blame]925 };
926
Teresa Charlin4b10fef2020-07-29 09:36:41 +0100[diff] [blame]927 supported &= CheckSupportRule(TypeIs(input, DataType::Signed32), reasonIfUnsupported,
Ryan OSheaf4bfa6a2020-06-10 11:33:37 +0100[diff] [blame]928 "Reference Fill: input type not supported.");
929
Teresa Charlin44088502020-07-27 11:27:19 +0100[diff] [blame]930 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
931 "Reference Fill: output type not supported.");
Ryan OSheaf4bfa6a2020-06-10 11:33:37 +0100[diff] [blame]932 return supported;
933}
934
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]935bool RefLayerSupport::IsFloorSupported(const TensorInfo& input,
936 const TensorInfo& output,
937 Optional<std::string&> reasonIfUnsupported) const
938{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]939 IgnoreUnused(output);
James Conroy83735b12019-05-30 16:36:59 +0100[diff] [blame]940 bool supported = true;
941
Francis Murtaghe8ac1332020-07-30 18:03:40 +0100[diff] [blame]942 std::array<DataType,3> supportedTypes =
James Conroy83735b12019-05-30 16:36:59 +0100[diff] [blame]943 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]944 DataType::BFloat16,
James Conroyb40d7102019-06-04 12:32:09 +0100[diff] [blame]945 DataType::Float32,
Francis Murtaghe8ac1332020-07-30 18:03:40 +0100[diff] [blame]946 DataType::Float16
James Conroy83735b12019-05-30 16:36:59 +0100[diff] [blame]947 };
948
949 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
950 "Reference Floor: input type not supported.");
951
952 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
953 "Reference Floor: output type not supported.");
954
955 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]956}
957
958bool RefLayerSupport::IsFullyConnectedSupported(const TensorInfo& input,
959 const TensorInfo& output,
960 const TensorInfo& weights,
961 const TensorInfo& biases,
962 const FullyConnectedDescriptor& descriptor,
963 Optional<std::string&> reasonIfUnsupported) const
964{
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]965 bool supported = true;
966
967 // Define supported types.
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]968 std::array<DataType,6> supportedTypes =
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]969 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]970 DataType::BFloat16,
971 DataType::Float32,
972 DataType::Float16,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]973 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]974 DataType::QAsymmU8,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]975 DataType::QSymmS16
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]976 };
977
978 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
979 "Reference Fully Connected: input type not supported.");
980
981 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
982 "Reference Fully Connected: output type not supported.");
983
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]984 supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,
985 "Reference Fully Connected: weights type not supported.");
986
Narumol Prangnawarat57ef0082020-03-26 09:20:43 +0000[diff] [blame]987 // For FullyConnected, we allow to have BFloat16 input with Float32 output for optimization.
988 if (input.GetDataType() == DataType::BFloat16)
989 {
990 if (output.GetDataType() != DataType::BFloat16 && output.GetDataType() != DataType::Float32)
991 {
992 reasonIfUnsupported.value() += "Output tensor type must be BFloat16 or Float32 for BFloat16 input.\n";
993 supported = false;
994 }
995 }
996 else
997 {
998 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
999 "Reference Fully Connected: input and output types mismatched.");
1000 }
1001
Jan Eilers1f45dc32020-06-15 11:43:03 +0100[diff] [blame]1002 supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,
1003 "Reference Fully Connected: weights is not a supported type.");
Francis Murtaghddb1d062020-03-10 13:51:45 +0000[diff] [blame]1004
Jan Eilers1f45dc32020-06-15 11:43:03 +0100[diff] [blame]1005 supported &= CheckSupportRule(TypesAreEqual(input, weights), reasonIfUnsupported,
1006 "Reference Fully Connected: input and weights types mismatched.");
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]1007
1008 if (descriptor.m_BiasEnabled)
1009 {
1010 // Defined supported types for bias
Sadik Armagandb73c982020-04-01 17:35:30 +0100[diff] [blame]1011 std::array<DataType, 5>
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]1012 supportedBiasTypes =
1013 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1014 DataType::BFloat16,
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]1015 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]1016 DataType::Float16,
Sadik Armagandb73c982020-04-01 17:35:30 +0100[diff] [blame]1017 DataType::Signed32,
1018 DataType::QAsymmS8
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]1019 };
1020
1021 supported &= CheckSupportRule(TypeAnyOf(biases, supportedBiasTypes), reasonIfUnsupported,
1022 "Reference Fully Connected: bias type not supported.");
1023
1024 supported &= CheckSupportRule(BiasAndWeightsTypesMatch(biases, weights), reasonIfUnsupported,
1025 "Reference Fully Connected: bias and weight types mismatch.");
1026
1027 supported &= CheckSupportRule(BiasAndWeightsTypesCompatible(weights, supportedBiasTypes), reasonIfUnsupported,
1028 "Reference Fully Connected: bias type inferred from weights is incompatible.");
1029
Narumol Prangnawarat366d7232020-04-29 12:58:17 +0100[diff] [blame]1030 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(biases, 1U), reasonIfUnsupported,
1031 "Reference Fully Connected: bias must have 1 dimension.");
1032
Francis Murtagh46c09d02019-05-28 08:15:28 +0100[diff] [blame]1033 }
1034
1035 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1036}
1037
narpra014951d842019-01-18 16:53:53 +0000[diff] [blame]1038bool RefLayerSupport::IsGatherSupported(const armnn::TensorInfo& input0,
1039 const armnn::TensorInfo& input1,
1040 const armnn::TensorInfo& output,
Teresa Charlin52664732020-06-29 16:27:03 +0100[diff] [blame]1041 const GatherDescriptor& descriptor,
narpra014951d842019-01-18 16:53:53 +0000[diff] [blame]1042 armnn::Optional<std::string&> reasonIfUnsupported) const
1043{
Ellen Norris-Thompsone0dbedf2019-06-24 09:23:38 +0100[diff] [blame]1044 bool supported = true;
Teresa Charlin3940d8b2020-05-29 16:47:23 +0100[diff] [blame]1045 std::array<DataType,7> supportedTypes =
Ellen Norris-Thompsone0dbedf2019-06-24 09:23:38 +0100[diff] [blame]1046 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1047 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1048 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1049 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1050 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1051 DataType::QAsymmU8,
Teresa Charlin3940d8b2020-05-29 16:47:23 +0100[diff] [blame]1052 DataType::QSymmS16,
1053 DataType::Signed32
Ellen Norris-Thompsone0dbedf2019-06-24 09:23:38 +0100[diff] [blame]1054 };
1055
Teresa Charlin52664732020-06-29 16:27:03 +0100[diff] [blame]1056 if (descriptor.m_Axis != 0)
1057 {
1058 reasonIfUnsupported.value() += std::string("Reference Gather: axis not supported\n");
1059 supported &= false;
1060 }
Ellen Norris-Thompsone0dbedf2019-06-24 09:23:38 +0100[diff] [blame]1061 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
1062 "Reference Gather: input type not supported");
1063
1064 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1065 "Reference Gather: output type not supported");
1066
1067 supported &= CheckSupportRule(TypeIs(input1, DataType::Signed32), reasonIfUnsupported,
1068 "Reference Gather: indices (input1) type not supported");
1069
1070 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
1071 "Reference Gather: input and output types not matching");
1072
1073 return supported;
narpra014951d842019-01-18 16:53:53 +0000[diff] [blame]1074}
1075
FrancisMurtagh878f0232018-12-19 10:56:15 +0000[diff] [blame]1076bool RefLayerSupport::IsGreaterSupported(const TensorInfo& input0,
1077 const TensorInfo& input1,
1078 const TensorInfo& output,
1079 Optional<std::string&> reasonIfUnsupported) const
1080{
Aron Virginas-Tar77bfb5e2019-10-16 17:45:38 +0100[diff] [blame]1081 return IsComparisonSupported(input0,
1082 input1,
1083 output,
1084 ComparisonDescriptor(ComparisonOperation::Greater),
1085 reasonIfUnsupported);
FrancisMurtagh878f0232018-12-19 10:56:15 +0000[diff] [blame]1086}
1087
Derek Lamberti901ea112019-12-10 22:07:09 +0000[diff] [blame]1088bool RefLayerSupport::IsInputSupported(const TensorInfo& /*input*/,
1089 Optional<std::string&> /*reasonIfUnsupported*/) const
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1090{
Narumol Prangnawaratb6441e42019-06-04 11:22:00 +0100[diff] [blame]1091 return true;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1092}
1093
Kevin May09ca49c2019-10-09 12:37:34 +0100[diff] [blame]1094bool RefLayerSupport::IsInstanceNormalizationSupported(const TensorInfo& input,
1095 const TensorInfo& output,
1096 const InstanceNormalizationDescriptor& descriptor,
1097 Optional<std::string&> reasonIfUnsupported) const
1098{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1099 IgnoreUnused(descriptor);
Kevin May09ca49c2019-10-09 12:37:34 +0100[diff] [blame]1100 // Define supported types
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1101 std::array<DataType, 3> supportedTypes =
Kevin May09ca49c2019-10-09 12:37:34 +0100[diff] [blame]1102 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1103 DataType::BFloat16,
Kevin May09ca49c2019-10-09 12:37:34 +0100[diff] [blame]1104 DataType::Float32,
1105 DataType::Float16
1106 };
1107
1108 bool supported = true;
1109
1110 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1111 "Reference Instance Normalization: input type not supported.");
1112
1113 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1114 "Reference Instance Normalization: output type not supported.");
1115
1116 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1117 "Reference Instance Normalization: input and output types mismatched.");
1118
1119 supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
1120 "Reference Instance Normalization: input and output shapes have different "
1121 "num total elements.");
1122
1123 return supported;
1124}
1125
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1126bool RefLayerSupport::IsL2NormalizationSupported(const TensorInfo& input,
1127 const TensorInfo& output,
1128 const L2NormalizationDescriptor& descriptor,
1129 Optional<std::string&> reasonIfUnsupported) const
1130{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1131 IgnoreUnused(descriptor);
Ferran Balaguerd73d14f2019-06-10 10:29:54 +0100[diff] [blame]1132 // Define supported types
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1133 std::array<DataType, 6> supportedTypes =
Ferran Balaguerd73d14f2019-06-10 10:29:54 +0100[diff] [blame]1134 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1135 DataType::BFloat16,
Ferran Balaguerd73d14f2019-06-10 10:29:54 +0100[diff] [blame]1136 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]1137 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1138 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1139 DataType::QAsymmU8,
1140 DataType::QSymmS16
Ferran Balaguerd73d14f2019-06-10 10:29:54 +0100[diff] [blame]1141 };
1142
1143 bool supported = true;
1144
1145 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1146 "Reference L2normalization: input type not supported.");
1147
1148 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1149 "Reference L2normalization: output type not supported.");
1150
1151 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1152 "Reference L2normalization: input and output types mismatched.");
1153
1154 supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
1155 "Reference L2normalization: input and output shapes have different "
1156 "num total elements.");
1157
1158 return supported;
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1159}
1160
James Conroyaba90cd2020-11-06 16:28:18 +0000[diff] [blame]1161bool RefLayerSupport::IsLogicalBinarySupported(const TensorInfo& input0,
1162 const TensorInfo& input1,
1163 const TensorInfo& output,
1164 const LogicalBinaryDescriptor& descriptor,
1165 Optional<std::string&> reasonIfUnsupported) const
1166{
1167 IgnoreUnused(descriptor);
1168
1169 std::array<DataType, 1> supportedTypes =
1170 {
1171 DataType::Boolean
1172 };
1173
1174 bool supported = true;
1175 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
1176 "Reference LogicalBinary: input 0 type not supported");
1177 supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
1178 "Reference LogicalBinary: input 1 type not supported");
1179
1180 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
1181 "Reference LogicalBinary: input and output types do not match");
1182
1183 return supported;
1184}
1185
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1186bool RefLayerSupport::IsLogSoftmaxSupported(const TensorInfo& input,
1187 const TensorInfo& output,
1188 const LogSoftmaxDescriptor& descriptor,
1189 Optional<std::string&> reasonIfUnsupported) const
1190{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1191 IgnoreUnused(descriptor);
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1192
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1193 std::array<DataType, 3> supportedTypes =
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1194 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1195 DataType::BFloat16,
1196 DataType::Float32,
1197 DataType::Float16
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1198 };
1199
1200 bool supported = true;
1201 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1202 "Reference LogSoftmax: input type not supported");
1203
1204 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1205 "Reference LogSoftmax: output type not supported");
1206
1207 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1208 "Reference LogSoftmax: input and output types do not match");
1209
1210 return supported;
1211}
1212
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1213bool RefLayerSupport::IsLstmSupported(const TensorInfo& input,
1214 const TensorInfo& outputStateIn,
1215 const TensorInfo& cellStateIn,
1216 const TensorInfo& scratchBuffer,
1217 const TensorInfo& outputStateOut,
1218 const TensorInfo& cellStateOut,
1219 const TensorInfo& output,
1220 const LstmDescriptor& descriptor,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1221 const LstmInputParamsInfo& paramsInfo,
1222 Optional<std::string&> reasonIfUnsupported) const
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]1223{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1224 IgnoreUnused(descriptor);
1225 IgnoreUnused(paramsInfo);
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1226
1227 bool supported = true;
1228
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1229 std::array<DataType,3> supportedTypes = {
1230 DataType::BFloat16,
Conor Kennedyb9971c92019-05-07 07:14:23 +0100[diff] [blame]1231 DataType::Float32,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1232 DataType::QSymmS16
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1233 };
1234
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1235 // check inputs and outputs
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1236 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1237 "Reference Lstm: input is not a supported type.");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1238 supported &= CheckSupportRule(TypesAreEqual(input, outputStateIn), reasonIfUnsupported,
1239 "Reference Lstm: input and outputStateIn types are mismatched");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1240 supported &= CheckSupportRule(TypesAreEqual(input, cellStateIn), reasonIfUnsupported,
1241 "Reference Lstm: input and cellStateIn types are mismatched");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1242 supported &= CheckSupportRule(TypesAreEqual(input, scratchBuffer), reasonIfUnsupported,
1243 "Reference Lstm: input and scratchBuffer types are mismatched");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1244 supported &= CheckSupportRule(TypesAreEqual(input, outputStateOut), reasonIfUnsupported,
1245 "Reference Lstm: input and outputStateOut types are mismatched");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1246 supported &= CheckSupportRule(TypesAreEqual(input, cellStateOut), reasonIfUnsupported,
1247 "Reference Lstm: input and cellStateOut types are mismatched");
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1248 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1249 "Reference Lstm: input and output types are mismatched");
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1250 // check layer parameters
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1251 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputToForgetWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1252 "Reference Lstm: input and InputToForgetWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1253 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputToCellWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1254 "Reference Lstm: input and InputToCellWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1255 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputToOutputWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1256 "Reference Lstm: input and InputToOutputWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1257 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetRecurrentToForgetWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1258 "Reference Lstm: input and RecurrentToForgetWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1259 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetRecurrentToCellWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1260 "Reference Lstm: input and RecurrentToCellWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1261 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetRecurrentToOutputWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1262 "Reference Lstm: input and RecurrentToOutputWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1263 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetForgetGateBias()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1264 "Reference Lstm: input and ForgetGateBias types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1265 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellBias()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1266 "Reference Lstm: input and CellBias types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1267 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetOutputGateBias()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1268 "Reference Lstm: input and OutputGateBias types are mismatched");
1269 if (!descriptor.m_CifgEnabled)
1270 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1271 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputToInputWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1272 "Reference Lstm: input and InputToInputWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1273 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetRecurrentToInputWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1274 reasonIfUnsupported,
1275 "Reference Lstm: input and RecurrentToInputWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1276 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputGateBias()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1277 "Reference Lstm: input and InputGateBias types are mismatched");
1278 if (descriptor.m_PeepholeEnabled)
1279 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1280 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellToInputWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1281 reasonIfUnsupported,
1282 "Reference Lstm: input and CellToInputWeights types are mismatched");
1283 }
1284 }
1285 if (descriptor.m_PeepholeEnabled)
1286 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1287 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellToForgetWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1288 "Reference Lstm: input and CellToForgetWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1289 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellToOutputWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1290 "Reference Lstm: input and CellToOutputWeights types are mismatched");
1291 }
1292 if (descriptor.m_ProjectionEnabled)
1293 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1294 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetProjectionWeights()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1295 "Reference Lstm: input and mProjectionWeights types are mismatched");
1296 if (paramsInfo.m_ProjectionBias != nullptr)
1297 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1298 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetProjectionBias()), reasonIfUnsupported,
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1299 "Reference Lstm: input and ProjectionBias types are mismatched");
1300 }
1301 }
1302 if (descriptor.m_LayerNormEnabled)
1303 {
1304 if (!descriptor.m_CifgEnabled)
1305 {
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1306 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputLayerNormWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1307 reasonIfUnsupported,
1308 "Reference Lstm: input and InputLayerNormWeights types are mismatched");
1309 }
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1310 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetForgetLayerNormWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1311 reasonIfUnsupported,
1312 "Reference Lstm: input and ForgetLayerNormWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1313 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellLayerNormWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1314 reasonIfUnsupported,
1315 "Reference Lstm: input and CellLayerNormWeights types are mismatched");
Francis Murtaghbb590b42019-08-14 09:51:36 +0100[diff] [blame]1316 supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetOutputLayerNormWeights()),
Jan Eilersd01a83c2019-07-03 18:20:40 +0100[diff] [blame]1317 reasonIfUnsupported,
1318 "Reference Lstm: input and OutputLayerNormWeights types are mismatched");
1319 }
Nattapat Chaimanowongeb2b3292019-05-07 12:02:30 +0100[diff] [blame]1320
1321 return supported;
telsoa01c577f2c2018-08-31 09:22:23 +0100[diff] [blame]1322}
1323
saoste012df12b32018-11-28 16:57:20 +0000[diff] [blame]1324bool RefLayerSupport::IsMaximumSupported(const TensorInfo& input0,
1325 const TensorInfo& input1,
1326 const TensorInfo& output,
1327 Optional<std::string&> reasonIfUnsupported) const
1328{
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1329 bool supported = true;
1330
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]1331 std::array<DataType,7> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1332 DataType::BFloat16,
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1333 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1334 DataType::Float16,
Keith Davis67e6c542020-02-19 10:08:33 +0000[diff] [blame]1335 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1336 DataType::QAsymmU8,
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]1337 DataType::QSymmS16,
1338 DataType::Signed32
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1339 };
1340
1341 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
1342 "Reference maximum: input 0 is not a supported type.");
1343
1344 supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
1345 "Reference maximum: input 1 is not a supported type.");
1346
1347 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1348 "Reference maximum: output is not a supported type.");
1349
1350 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
1351 "Reference maximum: input 0 and Input 1 types are mismatched");
1352
1353 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
1354 "Reference maximum: input and output types are mismatched");
1355
1356 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
1357 "Reference maximum: shapes are not suitable for implicit broadcast.");
1358
1359 return supported;
saoste012df12b32018-11-28 16:57:20 +0000[diff] [blame]1360}
1361
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1362bool RefLayerSupport::IsMeanSupported(const TensorInfo& input,
1363 const TensorInfo& output,
1364 const MeanDescriptor& descriptor,
1365 Optional<std::string&> reasonIfUnsupported) const
narpra0132b90462018-09-13 11:07:48 +0100[diff] [blame]1366{
James Conroy4d1ff582019-06-10 17:06:39 +0100[diff] [blame]1367 bool supported = true;
1368 std::string meanLayerStr = "Mean";
1369 std::string outputTensorStr = "output";
1370
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1371 std::array<DataType,6> supportedTypes =
James Conroy4d1ff582019-06-10 17:06:39 +0100[diff] [blame]1372 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1373 DataType::BFloat16,
James Conroy4d1ff582019-06-10 17:06:39 +0100[diff] [blame]1374 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]1375 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1376 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1377 DataType::QAsymmU8,
1378 DataType::QSymmS16
James Conroy4d1ff582019-06-10 17:06:39 +0100[diff] [blame]1379 };
1380
1381 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1382 "Reference Mean: input type not supported.");
1383
1384 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1385 "Reference Mean: input and output types are mismatched");
1386
1387 if (descriptor.m_KeepDims)
1388 {
1389 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(output, input.GetNumDimensions()),
1390 reasonIfUnsupported,
1391 CreateIncorrectDimensionsErrorMsg(input.GetNumDimensions(),
1392 output.GetNumDimensions(),
1393 meanLayerStr, outputTensorStr).data());
1394 }
1395 else if (descriptor.m_Axis.empty())
1396 {
1397 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(output, 1),
1398 reasonIfUnsupported,
1399 CreateIncorrectDimensionsErrorMsg(1, output.GetNumDimensions(),
1400 meanLayerStr, outputTensorStr).data());
1401 }
1402 else
1403 {
Matthew Sloyan171214c2020-09-09 09:07:37 +0100[diff] [blame]1404 auto outputDim = input.GetNumDimensions() - armnn::numeric_cast<unsigned int>(descriptor.m_Axis.size());
James Conroy4d1ff582019-06-10 17:06:39 +0100[diff] [blame]1405
1406 if (outputDim > 0)
1407 {
1408 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(output, outputDim),
1409 reasonIfUnsupported,
1410 CreateIncorrectDimensionsErrorMsg(outputDim, output.GetNumDimensions(),
1411 meanLayerStr, outputTensorStr).data());
1412 }
1413 else
1414 {
1415 supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(output, 1),
1416 reasonIfUnsupported,
1417 CreateIncorrectDimensionsErrorMsg(1, output.GetNumDimensions(),
1418 meanLayerStr, outputTensorStr).data());
1419 }
1420 }
1421
1422 return supported;
narpra0132b90462018-09-13 11:07:48 +0100[diff] [blame]1423}
1424
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1425bool RefLayerSupport::IsMergerSupported(const std::vector<const TensorInfo*> inputs,
Nikhil Raj8599a412018-11-19 14:51:07 +0000[diff] [blame]1426 const TensorInfo& output,
Jim Flynne242f2d2019-05-22 14:24:13 +0100[diff] [blame]1427 const MergerDescriptor& descriptor,
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1428 Optional<std::string&> reasonIfUnsupported) const
1429{
Jim Flynne242f2d2019-05-22 14:24:13 +0100[diff] [blame]1430 return IsConcatSupported(inputs, output, descriptor, reasonIfUnsupported);
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1431}
1432
Matteo Martincigh992d6dc2019-01-10 17:34:20 +0000[diff] [blame]1433bool RefLayerSupport::IsMemCopySupported(const TensorInfo &input,
1434 const TensorInfo &output,
1435 Optional<std::string &> reasonIfUnsupported) const
1436{
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1437 bool supported = true;
1438
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1439 std::array<DataType,7> supportedTypes =
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1440 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1441 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1442 DataType::Float32,
1443 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1444 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1445 DataType::QAsymmU8,
1446 DataType::QSymmS16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1447 DataType::Boolean
1448 };
1449
1450 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1451 "Reference MemCopy: input type not supported");
1452
1453 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1454 "Reference MemCopy: output type not supported");
1455
1456 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1457 "Reference MemCopy: input and output types are mismatched");
1458
1459 return supported;
Matteo Martincigh992d6dc2019-01-10 17:34:20 +0000[diff] [blame]1460}
1461
Éanna Ó Catháin20e58802018-12-04 10:29:06 +0000[diff] [blame]1462bool RefLayerSupport::IsMinimumSupported(const TensorInfo& input0,
1463 const TensorInfo& input1,
1464 const TensorInfo& output,
1465 Optional<std::string&> reasonIfUnsupported) const
1466{
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1467 bool supported = true;
1468
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]1469 std::array<DataType,7> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1470 DataType::BFloat16,
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1471 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1472 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1473 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1474 DataType::QAsymmU8,
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]1475 DataType::QSymmS16,
1476 DataType::Signed32
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1477 };
1478
1479 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
1480 "Reference minimum: input 0 is not a supported type.");
1481
1482 supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
1483 "Reference minimum: input 1 is not a supported type.");
1484
1485 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1486 "Reference minimum: output is not a supported type.");
1487
1488 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
1489 "Reference minimum: input 0 and Input 1 types are mismatched");
1490
1491 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
1492 "Reference minimum: input and output types are mismatched");
1493
1494 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
1495 "Reference minimum: shapes are not suitable for implicit broadcast.");
1496
1497 return supported;
Éanna Ó Catháin20e58802018-12-04 10:29:06 +0000[diff] [blame]1498}
1499
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1500bool RefLayerSupport::IsMultiplicationSupported(const TensorInfo& input0,
1501 const TensorInfo& input1,
1502 const TensorInfo& output,
1503 Optional<std::string&> reasonIfUnsupported) const
1504{
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1505 bool supported = true;
1506
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]1507 std::array<DataType,7> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1508 DataType::BFloat16,
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1509 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]1510 DataType::Float16,
Keith Davis67e6c542020-02-19 10:08:33 +0000[diff] [blame]1511 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1512 DataType::QAsymmU8,
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]1513 DataType::QSymmS16,
1514 DataType::Signed32
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]1515 };
1516
1517 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
1518 "Reference multiplication: input 0 is not a supported type.");
1519
1520 supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
1521 "Reference multiplication: input 1 is not a supported type.");
1522
1523 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1524 "Reference multiplication: output is not a supported type.");
1525
1526 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
1527 "Reference multiplication: input 0 and Input 1 types are mismatched");
1528
1529 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
1530 "Reference multiplication: input and output types are mismatched");
1531
1532 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
1533 "Reference multiplication: shapes are not suitable for implicit broadcast.");
1534
1535 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1536}
1537
1538bool RefLayerSupport::IsNormalizationSupported(const TensorInfo& input,
1539 const TensorInfo& output,
1540 const NormalizationDescriptor& descriptor,
1541 Optional<std::string&> reasonIfUnsupported) const
Nina Drozd661dfa72018-10-02 11:14:17 +0100[diff] [blame]1542{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1543 IgnoreUnused(descriptor);
Matteo Martincigh2fc70c52019-06-05 14:12:48 +0100[diff] [blame]1544
1545 // Define supported types
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1546 std::array<DataType, 6> supportedTypes =
Matteo Martincigh2fc70c52019-06-05 14:12:48 +0100[diff] [blame]1547 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1548 DataType::BFloat16,
Matteo Martincigh2fc70c52019-06-05 14:12:48 +0100[diff] [blame]1549 DataType::Float16,
1550 DataType::Float32,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1551 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1552 DataType::QAsymmU8,
1553 DataType::QSymmS16
Matteo Martincigh2fc70c52019-06-05 14:12:48 +0100[diff] [blame]1554 };
1555
1556 bool supported = true;
1557
1558 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1559 "Reference normalization: input type not supported.");
1560
1561 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1562 "Reference normalization: output type not supported.");
1563
1564 supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
1565 "Reference normalization: input and output shapes have different "
1566 "num total elements.");
1567
1568 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1569}
1570
Derek Lamberti901ea112019-12-10 22:07:09 +0000[diff] [blame]1571bool RefLayerSupport::IsOutputSupported(const TensorInfo& /*output*/,
1572 Optional<std::string&> /*reasonIfUnsupported*/) const
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1573{
Narumol Prangnawaratb6441e42019-06-04 11:22:00 +0100[diff] [blame]1574 return true;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1575}
1576
1577bool RefLayerSupport::IsPadSupported(const TensorInfo& input,
1578 const TensorInfo& output,
1579 const PadDescriptor& descriptor,
1580 Optional<std::string&> reasonIfUnsupported) const
1581{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1582 IgnoreUnused(descriptor);
Narumol Prangnawarate6eaf662019-07-08 08:57:17 +0100[diff] [blame]1583 bool supported = true;
1584
1585 // Define supported output and inputs types.
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1586 std::array<DataType,6> supportedTypes =
Narumol Prangnawarate6eaf662019-07-08 08:57:17 +0100[diff] [blame]1587 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1588 DataType::BFloat16,
Narumol Prangnawarate6eaf662019-07-08 08:57:17 +0100[diff] [blame]1589 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]1590 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1591 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1592 DataType::QAsymmU8,
1593 DataType::QSymmS16
Narumol Prangnawarate6eaf662019-07-08 08:57:17 +0100[diff] [blame]1594 };
1595
1596 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1597 "Reference pad: input is not a supported type.");
1598
1599 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1600 "Reference pad: output is not a supported type.");
1601
1602 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1603 "Reference pad: input and output types are mismatched.");
1604
1605 return supported;
Nina Drozd661dfa72018-10-02 11:14:17 +0100[diff] [blame]1606}
1607
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1608bool RefLayerSupport::IsPermuteSupported(const TensorInfo& input,
1609 const TensorInfo& output,
1610 const PermuteDescriptor& descriptor,
1611 Optional<std::string&> reasonIfUnsupported) const
1612{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1613 IgnoreUnused(descriptor);
Narumol Prangnawarat86bb4e12019-07-08 11:36:05 +0100[diff] [blame]1614 bool supported = true;
1615
1616 // Define supported output and inputs types.
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1617 std::array<DataType, 6> supportedTypes =
Narumol Prangnawarat86bb4e12019-07-08 11:36:05 +0100[diff] [blame]1618 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1619 DataType::BFloat16,
Narumol Prangnawarat86bb4e12019-07-08 11:36:05 +0100[diff] [blame]1620 DataType::Float32,
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]1621 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1622 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1623 DataType::QAsymmU8,
1624 DataType::QSymmS16
Narumol Prangnawarat86bb4e12019-07-08 11:36:05 +0100[diff] [blame]1625 };
1626
1627 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1628 "Reference permute: input is not a supported type.");
1629
1630 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1631 "Reference permute: output is not a supported type.");
1632
1633 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1634 "Reference permute: input and output types are mismatched.");
1635
1636 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1637}
1638
1639bool RefLayerSupport::IsPooling2dSupported(const TensorInfo& input,
1640 const TensorInfo& output,
1641 const Pooling2dDescriptor& descriptor,
1642 Optional<std::string&> reasonIfUnsupported) const
1643{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1644 IgnoreUnused(descriptor);
Teresa Charlina3b20472019-06-06 11:12:32 +0100[diff] [blame]1645 bool supported = true;
1646
1647 // Define supported output and inputs types.
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1648 std::array<DataType,6> supportedTypes =
Teresa Charlina3b20472019-06-06 11:12:32 +0100[diff] [blame]1649 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1650 DataType::BFloat16,
Teresa Charlina3b20472019-06-06 11:12:32 +0100[diff] [blame]1651 DataType::Float32,
Matthew Jackson252df3a2019-09-11 09:19:18 +0100[diff] [blame]1652 DataType::Float16,
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]1653 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1654 DataType::QAsymmU8,
1655 DataType::QSymmS16
Teresa Charlina3b20472019-06-06 11:12:32 +0100[diff] [blame]1656 };
1657
1658 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1659 "Reference poolind2d: input is not a supported type.");
1660
1661 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1662 "Reference poolind2d: output is not a supported type.");
1663
1664 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1665 "Reference poolind2d: input and output types are mismatched.");
1666
1667 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1668}
1669
James Conroy4f1f8992020-04-29 20:01:10 +0100[diff] [blame]1670bool RefLayerSupport::IsQLstmSupported(const TensorInfo& input,
1671 const TensorInfo& previousOutputIn,
1672 const TensorInfo& previousCellStateIn,
1673 const TensorInfo& outputStateOut,
1674 const TensorInfo& cellStateOut,
1675 const TensorInfo& output,
1676 const QLstmDescriptor& descriptor,
1677 const LstmInputParamsInfo& paramsInfo,
1678 Optional<std::string&> reasonIfUnsupported) const
1679{
1680 IgnoreUnused(input);
1681 IgnoreUnused(previousOutputIn);
1682 IgnoreUnused(previousCellStateIn);
1683 IgnoreUnused(outputStateOut);
1684 IgnoreUnused(cellStateOut);
1685 IgnoreUnused(output);
1686 IgnoreUnused(descriptor);
1687 IgnoreUnused(paramsInfo);
1688
1689 IgnoreUnused(reasonIfUnsupported);
1690
1691 return true;
1692}
1693
Derek Lamberti5f400d62019-03-25 15:41:58 +0000[diff] [blame]1694bool RefLayerSupport::IsQuantizeSupported(const TensorInfo& input,
1695 const TensorInfo& output,
1696 Optional<std::string&> reasonIfUnsupported) const
1697{
1698 bool supported = true;
1699
Finn Williamsfd271062019-12-04 14:27:27 +0000[diff] [blame]1700 // Define supported input types.
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1701 std::array<DataType,7> supportedInputTypes = {
1702 DataType::BFloat16,
Keith Davis5e51cd82020-01-29 16:52:59 +0000[diff] [blame]1703 DataType::Float32,
Keith Davis3d8bc972020-02-04 09:31:47 +0000[diff] [blame]1704 DataType::Float16,
Ryan OShea9add1202020-02-07 10:06:33 +0000[diff] [blame]1705 DataType::QAsymmS8,
Keith Davis5e51cd82020-01-29 16:52:59 +0000[diff] [blame]1706 DataType::QAsymmU8,
1707 DataType::QSymmS8,
1708 DataType::QSymmS16
Derek Lamberti5f400d62019-03-25 15:41:58 +0000[diff] [blame]1709 };
1710
1711 supported &= CheckSupportRule(TypeAnyOf(input, supportedInputTypes), reasonIfUnsupported,
1712 "Reference quantize: input type not supported.");
1713
1714 // Define supported output types.
Ryan OShea9add1202020-02-07 10:06:33 +0000[diff] [blame]1715 std::array<DataType,4> supportedOutputTypes = {
Ryan OShea9add1202020-02-07 10:06:33 +0000[diff] [blame]1716 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1717 DataType::QAsymmU8,
Finn Williamsfd271062019-12-04 14:27:27 +0000[diff] [blame]1718 DataType::QSymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1719 DataType::QSymmS16
Derek Lamberti5f400d62019-03-25 15:41:58 +0000[diff] [blame]1720 };
1721 supported &= CheckSupportRule(TypeAnyOf(output, supportedOutputTypes), reasonIfUnsupported,
1722 "Reference quantize: output type not supported.");
1723
1724 supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
1725 "Reference quantize: input and output shapes have different num total elements.");
1726
1727 return supported;
1728}
1729
Finn Williams2605b232020-06-10 15:53:46 +0100[diff] [blame]1730bool RefLayerSupport::IsRankSupported(const TensorInfo& input,
1731 const TensorInfo& output,
1732 Optional<std::string&> reasonIfUnsupported) const
1733{
1734 IgnoreUnused(input);
1735 // Define supported output types.
1736 std::array<DataType,1> supportedOutputTypes =
1737 {
1738 DataType::Signed32,
1739 };
1740
1741 return CheckSupportRule(TypeAnyOf(output, supportedOutputTypes), reasonIfUnsupported,
1742 "Reference rank: input type not supported.");
1743}
1744
Sadik Armagan0c3ea5b2021-02-03 09:29:30 +0000[diff] [blame]1745bool RefLayerSupport::IsReduceSupported(const TensorInfo& input,
1746 const TensorInfo& output,
1747 const ReduceDescriptor& descriptor,
1748 Optional<std::string&> reasonIfUnsupported) const
1749{
1750 IgnoreUnused(descriptor);
1751 bool supported = true;
1752 std::array<DataType,7> supportedTypes =
1753 {
1754 DataType::BFloat16,
1755 DataType::Float32,
1756 DataType::Float16,
1757 DataType::QAsymmS8,
1758 DataType::QAsymmU8,
1759 DataType::QSymmS16,
1760 DataType::Signed32
1761 };
1762
1763 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1764 "Reference Reduce: input type not supported");
1765
1766 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1767 "Reference Reduce: output type not supported");
1768
1769 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1770 "Reference Reduce: input and output types not matching");
1771
1772 return supported;
1773}
1774
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1775bool RefLayerSupport::IsReshapeSupported(const TensorInfo& input,
Kevin Maya023c402019-12-12 17:28:05 +0000[diff] [blame]1776 const TensorInfo& output,
Matteo Martincigh992d6dc2019-01-10 17:34:20 +0000[diff] [blame]1777 const ReshapeDescriptor& descriptor,
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1778 Optional<std::string&> reasonIfUnsupported) const
1779{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1780 IgnoreUnused(output);
1781 IgnoreUnused(descriptor);
Nina Drozd2f2778f2019-05-27 10:37:05 +0100[diff] [blame]1782 // Define supported output types.
Narumol Prangnawarat0c95f4c2020-11-18 16:52:07 +0000[diff] [blame]1783 std::array<DataType,8> supportedOutputTypes =
Nina Drozd2f2778f2019-05-27 10:37:05 +0100[diff] [blame]1784 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1785 DataType::BFloat16,
Nina Drozd2f2778f2019-05-27 10:37:05 +0100[diff] [blame]1786 DataType::Float32,
1787 DataType::Float16,
Narumol Prangnawarat0718ee92019-09-13 16:53:38 +0100[diff] [blame]1788 DataType::Signed32,
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]1789 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1790 DataType::QAsymmU8,
Narumol Prangnawarat0c95f4c2020-11-18 16:52:07 +0000[diff] [blame]1791 DataType::QSymmS16,
1792 DataType::Boolean
Nina Drozd2f2778f2019-05-27 10:37:05 +0100[diff] [blame]1793 };
Keith Davis0c2eeac2020-02-11 16:51:50 +0000[diff] [blame]1794
Nina Drozd2f2778f2019-05-27 10:37:05 +0100[diff] [blame]1795 return CheckSupportRule(TypeAnyOf(input, supportedOutputTypes), reasonIfUnsupported,
1796 "Reference reshape: input type not supported.");
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1797}
1798
1799bool RefLayerSupport::IsResizeBilinearSupported(const TensorInfo& input,
Sadik Armaganc625f002018-12-17 11:32:16 +0000[diff] [blame]1800 const TensorInfo& output,
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1801 Optional<std::string&> reasonIfUnsupported) const
1802{
Ellen Norris-Thompson3cb85f32019-06-17 11:32:49 +0100[diff] [blame]1803 bool supported = true;
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1804 std::array<DataType,6> supportedTypes =
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1805 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1806 DataType::BFloat16,
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1807 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1808 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1809 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1810 DataType::QAsymmU8,
1811 DataType::QSymmS16
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1812 };
Ellen Norris-Thompson3cb85f32019-06-17 11:32:49 +0100[diff] [blame]1813
1814 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1815 "Reference ResizeBilinear: input type not supported");
1816
1817 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1818 "Reference ResizeBilinear: output type not supported");
1819
1820 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1821 "Reference ResizeBilinear: input and output types not matching");
1822
1823 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1824}
1825
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1826bool RefLayerSupport::IsResizeSupported(const TensorInfo& input,
1827 const TensorInfo& output,
1828 const ResizeDescriptor& descriptor,
1829 Optional<std::string&> reasonIfUnsupported) const
1830{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1831 IgnoreUnused(descriptor);
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1832 bool supported = true;
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1833 std::array<DataType,6> supportedTypes =
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1834 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1835 DataType::BFloat16,
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1836 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1837 DataType::Float16,
Keith Davis67e6c542020-02-19 10:08:33 +0000[diff] [blame]1838 DataType::QAsymmS8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1839 DataType::QAsymmU8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1840 DataType::QSymmS16
Teresa Charlin970f43b2019-07-01 13:51:07 +0100[diff] [blame]1841 };
1842
1843 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1844 "Reference Resize: input type not supported");
1845
1846 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1847 "Reference Resize: output type not supported");
1848
1849 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1850 "Reference Resize: input and output types not matching");
1851
1852 return supported;
1853}
1854
Mohamed Nour Abouelseouda1d3c6a2018-12-27 12:39:16 +0000[diff] [blame]1855bool RefLayerSupport::IsRsqrtSupported(const TensorInfo& input,
1856 const TensorInfo& output,
1857 Optional<std::string&> reasonIfUnsupported) const
1858{
josh minor4a3c6102020-01-06 16:40:46 -0600[diff] [blame]1859 return IsElementwiseUnarySupported(input,
1860 output,
1861 ElementwiseUnaryDescriptor(UnaryOperation::Rsqrt),
1862 reasonIfUnsupported);
Mohamed Nour Abouelseouda1d3c6a2018-12-27 12:39:16 +0000[diff] [blame]1863}
1864
Aron Virginas-Tar92b9f872019-09-17 17:27:04 +0100[diff] [blame]1865bool RefLayerSupport::IsSliceSupported(const TensorInfo& input,
1866 const TensorInfo& output,
1867 const SliceDescriptor& descriptor,
1868 Optional<std::string&> reasonIfUnsupported) const
1869{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1870 IgnoreUnused(descriptor);
Aron Virginas-Tar92b9f872019-09-17 17:27:04 +0100[diff] [blame]1871 bool supported = true;
1872
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1873 std::array<DataType, 5> supportedTypes =
Aron Virginas-Tar92b9f872019-09-17 17:27:04 +0100[diff] [blame]1874 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1875 DataType::BFloat16,
Aron Virginas-Tar92b9f872019-09-17 17:27:04 +0100[diff] [blame]1876 DataType::Float32,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1877 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1878 DataType::QAsymmU8,
1879 DataType::QSymmS16
Aron Virginas-Tar92b9f872019-09-17 17:27:04 +0100[diff] [blame]1880 };
1881
1882 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1883 "Reference Slice: input type not supported");
1884
1885 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1886 "Reference Slice: output type not supported");
1887
1888 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1889 "Reference Slice: input and output types are mismatched");
1890
1891 return supported;
1892}
1893
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1894bool RefLayerSupport::IsSoftmaxSupported(const TensorInfo& input,
1895 const TensorInfo& output,
1896 const SoftmaxDescriptor& descriptor,
1897 Optional<std::string&> reasonIfUnsupported) const
1898{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1899 IgnoreUnused(descriptor);
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1900 bool supported = true;
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1901 std::array<DataType,7> supportedTypes =
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1902 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1903 DataType::BFloat16,
1904 DataType::Float32,
1905 DataType::Float16,
1906 DataType::QSymmS8,
1907 DataType::QAsymmS8,
1908 DataType::QAsymmU8,
1909 DataType::QSymmS16
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1910 };
1911
1912 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1913 "Reference Softmax: output type not supported");
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1914
1915 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1916 "Reference Softmax: input type not supported");
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1917
1918 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
Aron Virginas-Tare662a942019-10-14 15:12:00 +0100[diff] [blame]1919 "Reference Softmax: input type not supported");
nikraj01248683f2019-05-29 16:46:50 +0100[diff] [blame]1920
1921 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1922}
1923
Nattapat Chaimanowong3ea76d52018-11-09 14:10:38 +0000[diff] [blame]1924bool RefLayerSupport::IsSpaceToBatchNdSupported(const TensorInfo& input,
1925 const TensorInfo& output,
1926 const SpaceToBatchNdDescriptor& descriptor,
1927 Optional<std::string&> reasonIfUnsupported) const
1928{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1929 IgnoreUnused(descriptor);
nikraj01120522a2019-05-31 11:33:07 +0100[diff] [blame]1930 bool supported = true;
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1931 std::array<DataType,6> supportedTypes =
nikraj01120522a2019-05-31 11:33:07 +0100[diff] [blame]1932 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1933 DataType::BFloat16,
1934 DataType::Float32,
1935 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1936 DataType::QAsymmS8,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1937 DataType::QAsymmU8,
1938 DataType::QSymmS16
nikraj01120522a2019-05-31 11:33:07 +0100[diff] [blame]1939 };
1940
1941 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1942 "Reference SpaceToBatchNd: input type not supported");
1943
1944 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1945 "Reference SpaceToBatchNd: output type not supported");
1946
1947 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1948 "Reference SpaceToBatchNd: input and output types are mismatched");
1949
1950 return supported;
Nattapat Chaimanowong3ea76d52018-11-09 14:10:38 +0000[diff] [blame]1951}
1952
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1953bool RefLayerSupport::IsSpaceToDepthSupported(const TensorInfo& input,
Keith Davis51910332019-06-26 15:28:43 +0100[diff] [blame]1954 const TensorInfo& output,
1955 const SpaceToDepthDescriptor& descriptor,
1956 Optional<std::string&> reasonIfUnsupported) const
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1957{
1958
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1959 IgnoreUnused(descriptor);
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1960 bool supported = true;
1961
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1962 std::array<DataType,6> supportedTypes =
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1963 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1964 DataType::BFloat16,
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1965 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1966 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1967 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1968 DataType::QAsymmU8,
1969 DataType::QSymmS16
Keith Davisa57eccb2019-06-14 17:33:22 +0100[diff] [blame]1970 };
1971
1972 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
1973 "Reference SpaceToDepth: input type not supported");
1974
1975 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
1976 "Reference SpaceToDepth: output type not supported");
1977
1978 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
1979 "Reference SpaceToDepth: input and output types are mismatched");
1980
1981 return supported;
1982}
1983
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]1984bool RefLayerSupport::IsSplitterSupported(const TensorInfo& input,
1985 const ViewsDescriptor& descriptor,
1986 Optional<std::string&> reasonIfUnsupported) const
1987{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]1988 IgnoreUnused(descriptor);
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1989 bool supported = true;
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1990 std::array<DataType,6> supportedTypes =
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1991 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]1992 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1993 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]1994 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]1995 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]1996 DataType::QAsymmU8,
1997 DataType::QSymmS16
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]1998 };
1999
2000 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
2001 "Reference splitter: input type not supported");
2002
2003 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]2004}
2005
Narumol Prangnawarat15eb5832019-05-20 15:31:05 +0100[diff] [blame]2006bool RefLayerSupport::IsSplitterSupported(const TensorInfo& input,
2007 const std::vector<std::reference_wrapper<TensorInfo>>& outputs,
2008 const ViewsDescriptor& descriptor,
2009 Optional<std::string&> reasonIfUnsupported) const
2010{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]2011 IgnoreUnused(descriptor);
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]2012 bool supported = true;
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2013 std::array<DataType,6> supportedTypes =
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]2014 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2015 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]2016 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]2017 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2018 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]2019 DataType::QAsymmU8,
2020 DataType::QSymmS16
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]2021 };
2022
2023 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
2024 "Reference splitter: output type not supported");
Derek Lambertieac4adb2020-08-25 13:05:59 +0100[diff] [blame]2025 for (const TensorInfo& output : outputs)
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]2026 {
2027 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
2028 "Reference splitter: input type not supported");
2029
2030 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
2031 "Reference splitter: input and output types mismatched.");
2032 }
2033
2034 return supported;
Narumol Prangnawarat15eb5832019-05-20 15:31:05 +0100[diff] [blame]2035}
2036
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]2037bool RefLayerSupport::IsStackSupported(const std::vector<const TensorInfo*>& inputs,
2038 const TensorInfo& output,
2039 const StackDescriptor& descriptor,
2040 Optional<std::string&> reasonIfUnsupported) const
2041{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]2042 IgnoreUnused(descriptor);
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]2043
2044 bool supported = true;
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2045 std::array<DataType,6> supportedTypes =
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]2046 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2047 DataType::BFloat16,
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]2048 DataType::Float32,
Matthew Jacksone69c3992019-09-09 14:31:21 +0100[diff] [blame]2049 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2050 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]2051 DataType::QAsymmU8,
2052 DataType::QSymmS16
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]2053 };
2054
2055 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
2056 "Reference stack: output type not supported");
2057 for (const TensorInfo* input : inputs)
2058 {
Narumol Prangnawaratac2770a2020-04-01 16:51:23 +0100[diff] [blame]2059 ARMNN_ASSERT(input != nullptr);
Matthew Jackson81e601c2019-07-11 12:07:09 +0100[diff] [blame]2060 supported &= CheckSupportRule(TypeAnyOf(*input, supportedTypes), reasonIfUnsupported,
2061 "Reference stack: input type not supported");
2062
2063 supported &= CheckSupportRule(TypesAreEqual(*input, output), reasonIfUnsupported,
2064 "Reference stack: input and output types mismatched.");
2065 }
2066
2067 return supported;
2068}
2069
Nattapat Chaimanowong1216b582018-11-23 15:33:41 +0000[diff] [blame]2070bool RefLayerSupport::IsStridedSliceSupported(const TensorInfo& input,
2071 const TensorInfo& output,
2072 const StridedSliceDescriptor& descriptor,
2073 Optional<std::string&> reasonIfUnsupported) const
2074{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]2075 IgnoreUnused(descriptor);
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]2076 bool supported = true;
2077
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2078 std::array<DataType,5> supportedTypes =
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]2079 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2080 DataType::BFloat16,
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]2081 DataType::Float32,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2082 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]2083 DataType::QAsymmU8,
2084 DataType::QSymmS16
Narumol Prangnawaratf9ac3fd2019-07-03 14:55:57 +0100[diff] [blame]2085 };
2086
2087 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
2088 "Reference StridedSlice: input type not supported");
2089
2090 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
2091 "Reference StridedSlice: output type not supported");
2092
2093 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
2094 "Reference StridedSlice: input and output types are mismatched");
2095
2096 return supported;
Nattapat Chaimanowong1216b582018-11-23 15:33:41 +0000[diff] [blame]2097}
2098
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]2099bool RefLayerSupport::IsSubtractionSupported(const TensorInfo& input0,
2100 const TensorInfo& input1,
2101 const TensorInfo& output,
2102 Optional<std::string&> reasonIfUnsupported) const
2103{
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]2104 bool supported = true;
2105
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]2106 std::array<DataType,7> supportedTypes = {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2107 DataType::BFloat16,
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]2108 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]2109 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2110 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]2111 DataType::QAsymmU8,
Teresa Charlinecb6b8e2020-05-22 18:08:23 +0100[diff] [blame]2112 DataType::QSymmS16,
2113 DataType::Signed32
Sadik Armagan2999a022019-04-09 14:20:12 +0100[diff] [blame]2114 };
2115
2116 supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
2117 "Reference subtraction: input 0 is not a supported type.");
2118
2119 supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
2120 "Reference subtraction: input 1 is not a supported type.");
2121
2122 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
2123 "Reference subtraction: output is not a supported type.");
2124
2125 supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
2126 "Reference subtraction: input 0 and Input 1 types are mismatched");
2127
2128 supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
2129 "Reference subtraction: input and output types are mismatched");
2130
2131 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
2132 "Reference subtraction: shapes are not suitable for implicit broadcast.");
2133
2134 return supported;
Aron Virginas-Tarb5acbb72018-10-15 11:11:51 +0100[diff] [blame]2135}
2136
Matteo Martincighab9e5252019-06-13 17:27:46 +0100[diff] [blame]2137bool RefLayerSupport::IsPreluSupported(const TensorInfo& input,
2138 const TensorInfo& alpha,
2139 const TensorInfo& output,
2140 Optional<std::string&> reasonIfUnsupported) const
2141{
2142 bool supported = true;
2143
Teresa Charlin3940d8b2020-05-29 16:47:23 +0100[diff] [blame]2144 std::array<DataType, 6> supportedTypes
Matteo Martincighab9e5252019-06-13 17:27:46 +0100[diff] [blame]2145 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2146 DataType::BFloat16,
Matteo Martincighab9e5252019-06-13 17:27:46 +0100[diff] [blame]2147 DataType::Float32,
Matthew Jackson9bff1442019-09-12 09:08:23 +0100[diff] [blame]2148 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2149 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]2150 DataType::QAsymmU8,
Teresa Charlin3940d8b2020-05-29 16:47:23 +0100[diff] [blame]2151 DataType::QSymmS16
Matteo Martincighab9e5252019-06-13 17:27:46 +0100[diff] [blame]2152 };
2153
2154 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
2155 "PReLU: input is not a supported type.");
2156
2157 supported &= CheckSupportRule(TypeAnyOf(alpha, supportedTypes), reasonIfUnsupported,
2158 "PReLU: alpha is not a supported type.");
2159
2160 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
2161 "PReLU: output is not a supported type.");
2162
2163 supported &= CheckSupportRule(TypesAreEqual(input, alpha, output), reasonIfUnsupported,
2164 "PReLU: input, alpha and output types are mismatched");
2165
2166 supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input, alpha, output), reasonIfUnsupported,
2167 "PReLU: shapes are not suitable for implicit broadcast");
2168
2169 return supported;
2170}
2171
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2172bool RefLayerSupport::IsTransposeConvolution2dSupported(const TensorInfo& input,
2173 const TensorInfo& output,
2174 const TransposeConvolution2dDescriptor& descriptor,
2175 const TensorInfo& weights,
2176 const Optional<TensorInfo>& biases,
2177 Optional<std::string&> reasonIfUnsupported) const
2178{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]2179 IgnoreUnused(descriptor);
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2180 bool supported = true;
2181
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2182 std::array<DataType,7> supportedTypes =
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2183 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2184 DataType::BFloat16,
2185 DataType::Float32,
2186 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2187 DataType::QAsymmS8,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2188 DataType::QAsymmU8,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2189 DataType::QSymmS8,
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2190 DataType::QSymmS16
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2191 };
2192
2193 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
2194 "Reference TransposeConvolution2d: input is not a supported type.");
2195
2196 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
2197 "Reference TransposeConvolution2d: output is not a supported type.");
2198
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2199 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
2200 "Reference TransposeConvolution2d: input and output types mismatched.");
2201
Aron Virginas-Tar94d3b932019-11-11 12:54:47 +0000[diff] [blame]2202
2203 const DataType inputType = input.GetDataType();
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2204 if (IsQuantized8BitType(inputType))
Aron Virginas-Tar94d3b932019-11-11 12:54:47 +0000[diff] [blame]2205 {
Derek Lambertid466a542020-01-22 15:37:29 +0000[diff] [blame]2206 ARMNN_NO_DEPRECATE_WARN_BEGIN
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2207 std::array<DataType, 4> supportedWeightTypes =
Aron Virginas-Tar94d3b932019-11-11 12:54:47 +0000[diff] [blame]2208 {
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2209 DataType::QAsymmS8,
Derek Lambertif90c56d2020-01-10 17:14:08 +0000[diff] [blame]2210 DataType::QAsymmU8,
Derek Lambertid466a542020-01-22 15:37:29 +0000[diff] [blame]2211 DataType::QSymmS8,
2212 DataType::QuantizedSymm8PerAxis //Deprecated
Aron Virginas-Tar94d3b932019-11-11 12:54:47 +0000[diff] [blame]2213 };
Derek Lambertid466a542020-01-22 15:37:29 +0000[diff] [blame]2214 ARMNN_NO_DEPRECATE_WARN_END
Aron Virginas-Tar94d3b932019-11-11 12:54:47 +0000[diff] [blame]2215
2216 supported &= CheckSupportRule(TypeAnyOf(weights, supportedWeightTypes), reasonIfUnsupported,
2217 "Reference TransposeConvolution2d: weights type not supported for "
2218 "quantized input.");
2219 }
2220 else
2221 {
2222 supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,
2223 "Reference TransposeConvolution2d: weights is not a supported type.");
2224
2225 supported &= CheckSupportRule(TypesAreEqual(input, weights), reasonIfUnsupported,
2226 "Reference TransposeConvolution2d: input and weights types mismatched.");
2227 }
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2228
2229 if (biases.has_value())
2230 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2231 std::array<DataType,4> biasesSupportedTypes =
Aron Virginas-Tar651aafe2019-08-05 11:52:05 +0100[diff] [blame]2232 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2233 DataType::BFloat16,
2234 DataType::Float32,
2235 DataType::Float16,
2236 DataType::Signed32
Aron Virginas-Tar98180ef2019-06-26 15:02:47 +0100[diff] [blame]2237 };
2238 supported &= CheckSupportRule(TypeAnyOf(biases.value(), biasesSupportedTypes), reasonIfUnsupported,
2239 "Reference TransposeConvolution2d: biases is not a supported type.");
2240 }
2241
2242 return supported;
2243}
2244
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]2245bool RefLayerSupport::IsTransposeSupported(const TensorInfo& input,
2246 const TensorInfo& output,
2247 const TransposeDescriptor& descriptor,
2248 Optional<std::string&> reasonIfUnsupported) const
2249{
Jan Eilers8eb25602020-03-09 12:13:48 +0000[diff] [blame]2250 IgnoreUnused(descriptor);
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]2251 bool supported = true;
2252
2253 // Define supported output and inputs types.
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2254 std::array<DataType, 6> supportedTypes =
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]2255 {
Narumol Prangnawarat44179c32020-03-11 14:51:27 +0000[diff] [blame]2256 DataType::BFloat16,
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]2257 DataType::Float32,
2258 DataType::Float16,
Sadik Armagan303980c2020-04-17 12:45:14 +0100[diff] [blame]2259 DataType::QAsymmS8,
Mike Kellyc9ea45a2020-02-28 18:11:58 +0000[diff] [blame]2260 DataType::QAsymmU8,
2261 DataType::QSymmS16
2262 };
2263
2264 supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
2265 "Reference transpose: input is not a supported type.");
2266
2267 supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
2268 "Reference transpose: output is not a supported type.");
2269
2270 supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
2271 "Reference transpose: input and output types are mismatched.");
2272
2273 return supported;
2274}
2275
arovir011c7c81b2018-10-08 11:34:28 +0100[diff] [blame]2276} // namespace armnn