Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 1 | // |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 2 | // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 6 | #include "../Serializer.hpp" |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 7 | #include "SerializerTestUtils.hpp" |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 8 | |
Matthew Bentham | ff130e2 | 2020-01-17 11:47:42 +0000 | [diff] [blame] | 9 | #include <armnn/Descriptors.hpp> |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 10 | #include <armnn/INetwork.hpp> |
Matthew Bentham | ff130e2 | 2020-01-17 11:47:42 +0000 | [diff] [blame] | 11 | #include <armnn/TypesUtils.hpp> |
| 12 | #include <armnn/LstmParams.hpp> |
| 13 | #include <armnn/QuantizedLstmParams.hpp> |
Derek Lamberti | 0028d1b | 2019-02-20 13:57:42 +0000 | [diff] [blame] | 14 | #include <armnnDeserializer/IDeserializer.hpp> |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 15 | #include <armnn/utility/IgnoreUnused.hpp> |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 16 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 17 | #include <random> |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 18 | #include <vector> |
| 19 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 20 | #include <doctest/doctest.h> |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 21 | |
Derek Lamberti | 0028d1b | 2019-02-20 13:57:42 +0000 | [diff] [blame] | 22 | using armnnDeserializer::IDeserializer; |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 23 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 24 | TEST_SUITE("SerializerTests") |
| 25 | { |
| 26 | TEST_CASE("SerializeAbs") |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 27 | { |
| 28 | const std::string layerName("abs"); |
| 29 | const armnn::TensorInfo tensorInfo({1, 2, 3}, armnn::DataType::Float32); |
| 30 | |
| 31 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 32 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 33 | |
| 34 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
| 35 | armnn::IConnectableLayer* const absLayer = network->AddAbsLayer(layerName.c_str()); |
| 36 | ARMNN_NO_DEPRECATE_WARN_END |
| 37 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 38 | |
| 39 | inputLayer->GetOutputSlot(0).Connect(absLayer->GetInputSlot(0)); |
| 40 | absLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 41 | |
| 42 | inputLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 43 | absLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 44 | |
| 45 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 46 | CHECK(deserializedNetwork); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 47 | |
| 48 | LayerVerifierBase verifier(layerName, {tensorInfo}, {tensorInfo}); |
| 49 | deserializedNetwork->ExecuteStrategy(verifier); |
| 50 | } |
| 51 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 52 | TEST_CASE("SerializeAddition") |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 53 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 54 | const std::string layerName("addition"); |
| 55 | const armnn::TensorInfo tensorInfo({1, 2, 3}, armnn::DataType::Float32); |
| 56 | |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 57 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 58 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 59 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 60 | armnn::IConnectableLayer* const additionLayer = network->AddAdditionLayer(layerName.c_str()); |
| 61 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 62 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 63 | inputLayer0->GetOutputSlot(0).Connect(additionLayer->GetInputSlot(0)); |
| 64 | inputLayer1->GetOutputSlot(0).Connect(additionLayer->GetInputSlot(1)); |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 65 | additionLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 66 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 67 | inputLayer0->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 68 | inputLayer1->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 69 | additionLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
Jim Flynn | 3091b06 | 2019-02-15 14:45:04 +0000 | [diff] [blame] | 70 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 71 | std::string serializedNetwork = SerializeNetwork(*network); |
| 72 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(serializedNetwork); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 73 | CHECK(deserializedNetwork); |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 74 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 75 | LayerVerifierBase verifier(layerName, {tensorInfo, tensorInfo}, {tensorInfo}); |
| 76 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 77 | } |
Jim Flynn | ac25a1b | 2019-02-28 10:40:49 +0000 | [diff] [blame] | 78 | |
Mike Kelly | 1f140f7 | 2021-04-06 12:25:55 +0100 | [diff] [blame] | 79 | void SerializeArgMinMaxTest(armnn::DataType dataType) |
Narumol Prangnawarat | 0cfcf23 | 2019-09-09 17:16:24 +0100 | [diff] [blame] | 80 | { |
Narumol Prangnawarat | 0cfcf23 | 2019-09-09 17:16:24 +0100 | [diff] [blame] | 81 | const std::string layerName("argminmax"); |
| 82 | const armnn::TensorInfo inputInfo({1, 2, 3}, armnn::DataType::Float32); |
Mike Kelly | 1f140f7 | 2021-04-06 12:25:55 +0100 | [diff] [blame] | 83 | const armnn::TensorInfo outputInfo({1, 3}, dataType); |
Narumol Prangnawarat | 0cfcf23 | 2019-09-09 17:16:24 +0100 | [diff] [blame] | 84 | |
| 85 | armnn::ArgMinMaxDescriptor descriptor; |
| 86 | descriptor.m_Function = armnn::ArgMinMaxFunction::Max; |
| 87 | descriptor.m_Axis = 1; |
| 88 | |
| 89 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 90 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 91 | armnn::IConnectableLayer* const argMinMaxLayer = network->AddArgMinMaxLayer(descriptor, layerName.c_str()); |
| 92 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 93 | |
| 94 | inputLayer->GetOutputSlot(0).Connect(argMinMaxLayer->GetInputSlot(0)); |
| 95 | argMinMaxLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 96 | |
| 97 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 98 | argMinMaxLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 99 | |
| 100 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 101 | CHECK(deserializedNetwork); |
Narumol Prangnawarat | 0cfcf23 | 2019-09-09 17:16:24 +0100 | [diff] [blame] | 102 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 103 | LayerVerifierBaseWithDescriptor<armnn::ArgMinMaxDescriptor> verifier(layerName, |
| 104 | {inputInfo}, |
| 105 | {outputInfo}, |
| 106 | descriptor); |
| 107 | deserializedNetwork->ExecuteStrategy(verifier); |
Narumol Prangnawarat | 0cfcf23 | 2019-09-09 17:16:24 +0100 | [diff] [blame] | 108 | } |
| 109 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 110 | TEST_CASE("SerializeArgMinMaxSigned32") |
Mike Kelly | 1f140f7 | 2021-04-06 12:25:55 +0100 | [diff] [blame] | 111 | { |
| 112 | SerializeArgMinMaxTest(armnn::DataType::Signed32); |
| 113 | } |
| 114 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 115 | TEST_CASE("SerializeArgMinMaxSigned64") |
Mike Kelly | 1f140f7 | 2021-04-06 12:25:55 +0100 | [diff] [blame] | 116 | { |
| 117 | SerializeArgMinMaxTest(armnn::DataType::Signed64); |
| 118 | } |
| 119 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 120 | TEST_CASE("SerializeBatchNormalization") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 121 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 122 | const std::string layerName("batchNormalization"); |
| 123 | const armnn::TensorInfo inputInfo ({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
| 124 | const armnn::TensorInfo outputInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
| 125 | |
| 126 | const armnn::TensorInfo meanInfo({1}, armnn::DataType::Float32); |
| 127 | const armnn::TensorInfo varianceInfo({1}, armnn::DataType::Float32); |
| 128 | const armnn::TensorInfo betaInfo({1}, armnn::DataType::Float32); |
| 129 | const armnn::TensorInfo gammaInfo({1}, armnn::DataType::Float32); |
| 130 | |
| 131 | armnn::BatchNormalizationDescriptor descriptor; |
| 132 | descriptor.m_Eps = 0.0010000000475f; |
| 133 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 134 | |
| 135 | std::vector<float> meanData({5.0}); |
| 136 | std::vector<float> varianceData({2.0}); |
| 137 | std::vector<float> betaData({1.0}); |
| 138 | std::vector<float> gammaData({0.0}); |
| 139 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 140 | std::vector<armnn::ConstTensor> constants; |
| 141 | constants.emplace_back(armnn::ConstTensor(meanInfo, meanData)); |
| 142 | constants.emplace_back(armnn::ConstTensor(varianceInfo, varianceData)); |
| 143 | constants.emplace_back(armnn::ConstTensor(betaInfo, betaData)); |
| 144 | constants.emplace_back(armnn::ConstTensor(gammaInfo, gammaData)); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 145 | |
| 146 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 147 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 148 | armnn::IConnectableLayer* const batchNormalizationLayer = |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 149 | network->AddBatchNormalizationLayer(descriptor, |
| 150 | constants[0], |
| 151 | constants[1], |
| 152 | constants[2], |
| 153 | constants[3], |
| 154 | layerName.c_str()); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 155 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 156 | |
| 157 | inputLayer->GetOutputSlot(0).Connect(batchNormalizationLayer->GetInputSlot(0)); |
| 158 | batchNormalizationLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 159 | |
| 160 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 161 | batchNormalizationLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 162 | |
| 163 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 164 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 165 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 166 | LayerVerifierBaseWithDescriptorAndConstants<armnn::BatchNormalizationDescriptor> verifier( |
| 167 | layerName, {inputInfo}, {outputInfo}, descriptor, constants); |
| 168 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 169 | } |
| 170 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 171 | TEST_CASE("SerializeBatchToSpaceNd") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 172 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 173 | const std::string layerName("spaceToBatchNd"); |
| 174 | const armnn::TensorInfo inputInfo({4, 1, 2, 2}, armnn::DataType::Float32); |
| 175 | const armnn::TensorInfo outputInfo({1, 1, 4, 4}, armnn::DataType::Float32); |
| 176 | |
| 177 | armnn::BatchToSpaceNdDescriptor desc; |
| 178 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 179 | desc.m_BlockShape = {2, 2}; |
| 180 | desc.m_Crops = {{0, 0}, {0, 0}}; |
| 181 | |
| 182 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 183 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 184 | armnn::IConnectableLayer* const batchToSpaceNdLayer = network->AddBatchToSpaceNdLayer(desc, layerName.c_str()); |
| 185 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 186 | |
| 187 | inputLayer->GetOutputSlot(0).Connect(batchToSpaceNdLayer->GetInputSlot(0)); |
| 188 | batchToSpaceNdLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 189 | |
| 190 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 191 | batchToSpaceNdLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 192 | |
| 193 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 194 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 195 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 196 | LayerVerifierBaseWithDescriptor<armnn::BatchToSpaceNdDescriptor> verifier(layerName, |
| 197 | {inputInfo}, |
| 198 | {outputInfo}, |
| 199 | desc); |
| 200 | deserializedNetwork->ExecuteStrategy(verifier); |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 201 | } |
| 202 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 203 | TEST_CASE("SerializeCast") |
mathad01 | b392e98 | 2021-04-07 12:07:30 +0100 | [diff] [blame] | 204 | { |
| 205 | const std::string layerName("cast"); |
| 206 | |
| 207 | const armnn::TensorShape shape{1, 5, 2, 3}; |
| 208 | |
| 209 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Signed32); |
| 210 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Float32); |
| 211 | |
| 212 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 213 | armnn::IConnectableLayer* inputLayer = network->AddInputLayer(0); |
| 214 | armnn::IConnectableLayer* castLayer = network->AddCastLayer(layerName.c_str()); |
| 215 | armnn::IConnectableLayer* outputLayer = network->AddOutputLayer(0); |
| 216 | |
| 217 | inputLayer->GetOutputSlot(0).Connect(castLayer->GetInputSlot(0)); |
| 218 | castLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 219 | |
| 220 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 221 | castLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 222 | |
| 223 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 224 | CHECK(deserializedNetwork); |
mathad01 | b392e98 | 2021-04-07 12:07:30 +0100 | [diff] [blame] | 225 | |
| 226 | LayerVerifierBase verifier(layerName, {inputInfo}, {outputInfo}); |
| 227 | deserializedNetwork->ExecuteStrategy(verifier); |
| 228 | } |
| 229 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 230 | TEST_CASE("SerializeComparison") |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 231 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 232 | const std::string layerName("comparison"); |
| 233 | |
| 234 | const armnn::TensorShape shape{2, 1, 2, 4}; |
| 235 | |
| 236 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Float32); |
| 237 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Boolean); |
| 238 | |
| 239 | armnn::ComparisonDescriptor descriptor(armnn::ComparisonOperation::NotEqual); |
| 240 | |
| 241 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 242 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 243 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 244 | armnn::IConnectableLayer* const comparisonLayer = network->AddComparisonLayer(descriptor, layerName.c_str()); |
| 245 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 246 | |
| 247 | inputLayer0->GetOutputSlot(0).Connect(comparisonLayer->GetInputSlot(0)); |
| 248 | inputLayer1->GetOutputSlot(0).Connect(comparisonLayer->GetInputSlot(1)); |
| 249 | comparisonLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 250 | |
| 251 | inputLayer0->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 252 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 253 | comparisonLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 254 | |
| 255 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 256 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 257 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 258 | LayerVerifierBaseWithDescriptor<armnn::ComparisonDescriptor> verifier(layerName, |
| 259 | { inputInfo, inputInfo }, |
| 260 | { outputInfo }, |
| 261 | descriptor); |
| 262 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 263 | } |
| 264 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 265 | TEST_CASE("SerializeConstant") |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 266 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 267 | class ConstantLayerVerifier : public LayerVerifierBase |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 268 | { |
| 269 | public: |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 270 | ConstantLayerVerifier(const std::string& layerName, |
| 271 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 272 | const std::vector<armnn::TensorInfo>& outputInfos, |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 273 | const std::vector<armnn::ConstTensor>& constants) |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 274 | : LayerVerifierBase(layerName, inputInfos, outputInfos) |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 275 | , m_Constants(constants) {} |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 276 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 277 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 278 | const armnn::BaseDescriptor& descriptor, |
| 279 | const std::vector<armnn::ConstTensor>& constants, |
| 280 | const char* name, |
| 281 | const armnn::LayerBindingId id = 0) override |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 282 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 283 | armnn::IgnoreUnused(descriptor, id); |
| 284 | |
| 285 | switch (layer->GetType()) |
| 286 | { |
| 287 | case armnn::LayerType::Input: break; |
| 288 | case armnn::LayerType::Output: break; |
| 289 | case armnn::LayerType::Addition: break; |
| 290 | default: |
| 291 | { |
| 292 | this->VerifyNameAndConnections(layer, name); |
| 293 | |
| 294 | for (std::size_t i = 0; i < constants.size(); i++) |
| 295 | { |
| 296 | CompareConstTensor(constants[i], m_Constants[i]); |
| 297 | } |
| 298 | } |
| 299 | } |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 300 | } |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 301 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 302 | private: |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 303 | const std::vector<armnn::ConstTensor> m_Constants; |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 304 | }; |
| 305 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 306 | const std::string layerName("constant"); |
| 307 | const armnn::TensorInfo info({ 2, 3 }, armnn::DataType::Float32); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 308 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 309 | std::vector<float> constantData = GenerateRandomData<float>(info.GetNumElements()); |
| 310 | armnn::ConstTensor constTensor(info, constantData); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 311 | |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 312 | armnn::INetworkPtr network(armnn::INetwork::Create()); |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 313 | armnn::IConnectableLayer* input = network->AddInputLayer(0); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 314 | armnn::IConnectableLayer* constant = network->AddConstantLayer(constTensor, layerName.c_str()); |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 315 | armnn::IConnectableLayer* add = network->AddAdditionLayer(); |
| 316 | armnn::IConnectableLayer* output = network->AddOutputLayer(0); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 317 | |
| 318 | input->GetOutputSlot(0).Connect(add->GetInputSlot(0)); |
| 319 | constant->GetOutputSlot(0).Connect(add->GetInputSlot(1)); |
| 320 | add->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| 321 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 322 | input->GetOutputSlot(0).SetTensorInfo(info); |
| 323 | constant->GetOutputSlot(0).SetTensorInfo(info); |
| 324 | add->GetOutputSlot(0).SetTensorInfo(info); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 325 | |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 326 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 327 | CHECK(deserializedNetwork); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 328 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 329 | ConstantLayerVerifier verifier(layerName, {}, {info}, {constTensor}); |
| 330 | deserializedNetwork->ExecuteStrategy(verifier); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 331 | } |
| 332 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 333 | TEST_CASE("SerializeConvolution2d") |
Finn Williams | dd2ba7e | 2019-03-01 11:51:52 +0000 | [diff] [blame] | 334 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 335 | const std::string layerName("convolution2d"); |
| 336 | const armnn::TensorInfo inputInfo ({ 1, 5, 5, 1 }, armnn::DataType::Float32); |
| 337 | const armnn::TensorInfo outputInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
Saoirse Stewart | 263829c | 2019-02-19 15:54:14 +0000 | [diff] [blame] | 338 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 339 | const armnn::TensorInfo weightsInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
| 340 | const armnn::TensorInfo biasesInfo ({ 1 }, armnn::DataType::Float32); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 341 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 342 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 343 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 344 | |
| 345 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 346 | armnn::ConstTensor biases(biasesInfo, biasesData); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 347 | |
| 348 | armnn::Convolution2dDescriptor descriptor; |
| 349 | descriptor.m_PadLeft = 1; |
| 350 | descriptor.m_PadRight = 1; |
| 351 | descriptor.m_PadTop = 1; |
| 352 | descriptor.m_PadBottom = 1; |
| 353 | descriptor.m_StrideX = 2; |
| 354 | descriptor.m_StrideY = 2; |
Aron Virginas-Tar | 5e1b0cf | 2019-06-21 14:20:11 +0100 | [diff] [blame] | 355 | descriptor.m_DilationX = 2; |
| 356 | descriptor.m_DilationY = 2; |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 357 | descriptor.m_BiasEnabled = true; |
| 358 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 359 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 360 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 361 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 362 | armnn::IConnectableLayer* const convLayer = |
Matteo Martincigh | fc598e1 | 2019-05-14 10:36:13 +0100 | [diff] [blame] | 363 | network->AddConvolution2dLayer(descriptor, |
| 364 | weights, |
| 365 | armnn::Optional<armnn::ConstTensor>(biases), |
| 366 | layerName.c_str()); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 367 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 368 | |
| 369 | inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0)); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 370 | convLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 371 | |
| 372 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 373 | convLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 374 | |
| 375 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 376 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 377 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 378 | const std::vector<armnn::ConstTensor>& constants {weights, biases}; |
| 379 | LayerVerifierBaseWithDescriptorAndConstants<armnn::Convolution2dDescriptor> verifier( |
| 380 | layerName, {inputInfo}, {outputInfo}, descriptor, constants); |
| 381 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 382 | } |
| 383 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 384 | TEST_CASE("SerializeConvolution2dWithPerAxisParams") |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 385 | { |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 386 | using namespace armnn; |
| 387 | |
| 388 | const std::string layerName("convolution2dWithPerAxis"); |
| 389 | const TensorInfo inputInfo ({ 1, 3, 1, 2 }, DataType::QAsymmU8, 0.55f, 128); |
| 390 | const TensorInfo outputInfo({ 1, 3, 1, 3 }, DataType::QAsymmU8, 0.75f, 128); |
| 391 | |
| 392 | const std::vector<float> quantScales{ 0.75f, 0.65f, 0.85f }; |
| 393 | constexpr unsigned int quantDimension = 0; |
| 394 | |
| 395 | const TensorInfo kernelInfo({ 3, 1, 1, 2 }, DataType::QSymmS8, quantScales, quantDimension); |
| 396 | |
| 397 | const std::vector<float> biasQuantScales{ 0.25f, 0.50f, 0.75f }; |
| 398 | const TensorInfo biasInfo({ 3 }, DataType::Signed32, biasQuantScales, quantDimension); |
| 399 | |
| 400 | std::vector<int8_t> kernelData = GenerateRandomData<int8_t>(kernelInfo.GetNumElements()); |
| 401 | armnn::ConstTensor weights(kernelInfo, kernelData); |
| 402 | std::vector<int32_t> biasData = GenerateRandomData<int32_t>(biasInfo.GetNumElements()); |
| 403 | armnn::ConstTensor biases(biasInfo, biasData); |
| 404 | |
| 405 | Convolution2dDescriptor descriptor; |
| 406 | descriptor.m_StrideX = 1; |
| 407 | descriptor.m_StrideY = 1; |
| 408 | descriptor.m_PadLeft = 0; |
| 409 | descriptor.m_PadRight = 0; |
| 410 | descriptor.m_PadTop = 0; |
| 411 | descriptor.m_PadBottom = 0; |
| 412 | descriptor.m_BiasEnabled = true; |
| 413 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 414 | |
| 415 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 416 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 417 | armnn::IConnectableLayer* const convLayer = |
| 418 | network->AddConvolution2dLayer(descriptor, |
| 419 | weights, |
| 420 | armnn::Optional<armnn::ConstTensor>(biases), |
| 421 | layerName.c_str()); |
| 422 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 423 | |
| 424 | inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0)); |
| 425 | convLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 426 | |
| 427 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 428 | convLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 429 | |
| 430 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 431 | CHECK(deserializedNetwork); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 432 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 433 | const std::vector<armnn::ConstTensor>& constants {weights, biases}; |
| 434 | LayerVerifierBaseWithDescriptorAndConstants<Convolution2dDescriptor> verifier( |
| 435 | layerName, {inputInfo}, {outputInfo}, descriptor, constants); |
| 436 | deserializedNetwork->ExecuteStrategy(verifier); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 437 | } |
| 438 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 439 | TEST_CASE("SerializeDepthToSpace") |
Aron Virginas-Tar | da9d2d3 | 2019-09-20 10:42:02 +0100 | [diff] [blame] | 440 | { |
Aron Virginas-Tar | da9d2d3 | 2019-09-20 10:42:02 +0100 | [diff] [blame] | 441 | const std::string layerName("depthToSpace"); |
| 442 | |
| 443 | const armnn::TensorInfo inputInfo ({ 1, 8, 4, 12 }, armnn::DataType::Float32); |
| 444 | const armnn::TensorInfo outputInfo({ 1, 16, 8, 3 }, armnn::DataType::Float32); |
| 445 | |
| 446 | armnn::DepthToSpaceDescriptor desc; |
| 447 | desc.m_BlockSize = 2; |
| 448 | desc.m_DataLayout = armnn::DataLayout::NHWC; |
| 449 | |
| 450 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 451 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 452 | armnn::IConnectableLayer* const depthToSpaceLayer = network->AddDepthToSpaceLayer(desc, layerName.c_str()); |
| 453 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 454 | |
| 455 | inputLayer->GetOutputSlot(0).Connect(depthToSpaceLayer->GetInputSlot(0)); |
| 456 | depthToSpaceLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 457 | |
| 458 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 459 | depthToSpaceLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 460 | |
| 461 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 462 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | da9d2d3 | 2019-09-20 10:42:02 +0100 | [diff] [blame] | 463 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 464 | LayerVerifierBaseWithDescriptor<armnn::DepthToSpaceDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, desc); |
| 465 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | da9d2d3 | 2019-09-20 10:42:02 +0100 | [diff] [blame] | 466 | } |
| 467 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 468 | TEST_CASE("SerializeDepthwiseConvolution2d") |
Conor Kennedy | 79ffdf5 | 2019-03-01 14:24:54 +0000 | [diff] [blame] | 469 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 470 | const std::string layerName("depwiseConvolution2d"); |
| 471 | const armnn::TensorInfo inputInfo ({ 1, 5, 5, 3 }, armnn::DataType::Float32); |
| 472 | const armnn::TensorInfo outputInfo({ 1, 3, 3, 3 }, armnn::DataType::Float32); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 473 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 474 | const armnn::TensorInfo weightsInfo({ 1, 3, 3, 3 }, armnn::DataType::Float32); |
| 475 | const armnn::TensorInfo biasesInfo ({ 3 }, armnn::DataType::Float32); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 476 | |
| 477 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 478 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 479 | |
| 480 | std::vector<int32_t> biasesData = GenerateRandomData<int32_t>(biasesInfo.GetNumElements()); |
| 481 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 482 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 483 | armnn::DepthwiseConvolution2dDescriptor descriptor; |
Aron Virginas-Tar | 5e1b0cf | 2019-06-21 14:20:11 +0100 | [diff] [blame] | 484 | descriptor.m_PadLeft = 1; |
| 485 | descriptor.m_PadRight = 1; |
| 486 | descriptor.m_PadTop = 1; |
| 487 | descriptor.m_PadBottom = 1; |
| 488 | descriptor.m_StrideX = 2; |
| 489 | descriptor.m_StrideY = 2; |
| 490 | descriptor.m_DilationX = 2; |
| 491 | descriptor.m_DilationY = 2; |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 492 | descriptor.m_BiasEnabled = true; |
| 493 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 494 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 495 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 496 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 497 | armnn::IConnectableLayer* const depthwiseConvLayer = |
Matteo Martincigh | fc598e1 | 2019-05-14 10:36:13 +0100 | [diff] [blame] | 498 | network->AddDepthwiseConvolution2dLayer(descriptor, |
| 499 | weights, |
| 500 | armnn::Optional<armnn::ConstTensor>(biases), |
| 501 | layerName.c_str()); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 502 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 503 | |
| 504 | inputLayer->GetOutputSlot(0).Connect(depthwiseConvLayer->GetInputSlot(0)); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 505 | depthwiseConvLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 506 | |
| 507 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 508 | depthwiseConvLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 509 | |
| 510 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 511 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 512 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 513 | const std::vector<armnn::ConstTensor>& constants {weights, biases}; |
| 514 | LayerVerifierBaseWithDescriptorAndConstants<armnn::DepthwiseConvolution2dDescriptor> verifier( |
| 515 | layerName, {inputInfo}, {outputInfo}, descriptor, constants); |
| 516 | deserializedNetwork->ExecuteStrategy(verifier); |
Jim Flynn | 18ce338 | 2019-03-08 11:08:30 +0000 | [diff] [blame] | 517 | } |
| 518 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 519 | TEST_CASE("SerializeDepthwiseConvolution2dWithPerAxisParams") |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 520 | { |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 521 | using namespace armnn; |
| 522 | |
| 523 | const std::string layerName("depwiseConvolution2dWithPerAxis"); |
| 524 | const TensorInfo inputInfo ({ 1, 3, 3, 2 }, DataType::QAsymmU8, 0.55f, 128); |
| 525 | const TensorInfo outputInfo({ 1, 2, 2, 4 }, DataType::QAsymmU8, 0.75f, 128); |
| 526 | |
| 527 | const std::vector<float> quantScales{ 0.75f, 0.80f, 0.90f, 0.95f }; |
| 528 | const unsigned int quantDimension = 0; |
| 529 | TensorInfo kernelInfo({ 2, 2, 2, 2 }, DataType::QSymmS8, quantScales, quantDimension); |
| 530 | |
| 531 | const std::vector<float> biasQuantScales{ 0.25f, 0.35f, 0.45f, 0.55f }; |
| 532 | constexpr unsigned int biasQuantDimension = 0; |
| 533 | TensorInfo biasInfo({ 4 }, DataType::Signed32, biasQuantScales, biasQuantDimension); |
| 534 | |
| 535 | std::vector<int8_t> kernelData = GenerateRandomData<int8_t>(kernelInfo.GetNumElements()); |
| 536 | armnn::ConstTensor weights(kernelInfo, kernelData); |
| 537 | std::vector<int32_t> biasData = GenerateRandomData<int32_t>(biasInfo.GetNumElements()); |
| 538 | armnn::ConstTensor biases(biasInfo, biasData); |
| 539 | |
| 540 | DepthwiseConvolution2dDescriptor descriptor; |
| 541 | descriptor.m_StrideX = 1; |
| 542 | descriptor.m_StrideY = 1; |
| 543 | descriptor.m_PadLeft = 0; |
| 544 | descriptor.m_PadRight = 0; |
| 545 | descriptor.m_PadTop = 0; |
| 546 | descriptor.m_PadBottom = 0; |
| 547 | descriptor.m_DilationX = 1; |
| 548 | descriptor.m_DilationY = 1; |
| 549 | descriptor.m_BiasEnabled = true; |
| 550 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 551 | |
| 552 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 553 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 554 | armnn::IConnectableLayer* const depthwiseConvLayer = |
| 555 | network->AddDepthwiseConvolution2dLayer(descriptor, |
| 556 | weights, |
| 557 | armnn::Optional<armnn::ConstTensor>(biases), |
| 558 | layerName.c_str()); |
| 559 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 560 | |
| 561 | inputLayer->GetOutputSlot(0).Connect(depthwiseConvLayer->GetInputSlot(0)); |
| 562 | depthwiseConvLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 563 | |
| 564 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 565 | depthwiseConvLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 566 | |
| 567 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 568 | CHECK(deserializedNetwork); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 569 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 570 | const std::vector<armnn::ConstTensor>& constants {weights, biases}; |
| 571 | LayerVerifierBaseWithDescriptorAndConstants<armnn::DepthwiseConvolution2dDescriptor> verifier( |
| 572 | layerName, {inputInfo}, {outputInfo}, descriptor, constants); |
| 573 | deserializedNetwork->ExecuteStrategy(verifier); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 574 | } |
| 575 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 576 | TEST_CASE("SerializeDequantize") |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 577 | { |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 578 | const std::string layerName("dequantize"); |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 579 | const armnn::TensorInfo inputInfo({ 1, 5, 2, 3 }, armnn::DataType::QAsymmU8, 0.5f, 1); |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 580 | const armnn::TensorInfo outputInfo({ 1, 5, 2, 3 }, armnn::DataType::Float32); |
| 581 | |
| 582 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 583 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 584 | armnn::IConnectableLayer* const dequantizeLayer = network->AddDequantizeLayer(layerName.c_str()); |
| 585 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 586 | |
| 587 | inputLayer->GetOutputSlot(0).Connect(dequantizeLayer->GetInputSlot(0)); |
| 588 | dequantizeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 589 | |
| 590 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 591 | dequantizeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 592 | |
| 593 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 594 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 595 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 596 | LayerVerifierBase verifier(layerName, {inputInfo}, {outputInfo}); |
| 597 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 598 | } |
| 599 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 600 | TEST_CASE("SerializeDeserializeDetectionPostProcess") |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 601 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 602 | const std::string layerName("detectionPostProcess"); |
| 603 | |
| 604 | const std::vector<armnn::TensorInfo> inputInfos({ |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 605 | armnn::TensorInfo({ 1, 6, 4 }, armnn::DataType::Float32), |
| 606 | armnn::TensorInfo({ 1, 6, 3}, armnn::DataType::Float32) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 607 | }); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 608 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 609 | const std::vector<armnn::TensorInfo> outputInfos({ |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 610 | armnn::TensorInfo({ 1, 3, 4 }, armnn::DataType::Float32), |
| 611 | armnn::TensorInfo({ 1, 3 }, armnn::DataType::Float32), |
| 612 | armnn::TensorInfo({ 1, 3 }, armnn::DataType::Float32), |
| 613 | armnn::TensorInfo({ 1 }, armnn::DataType::Float32) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 614 | }); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 615 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 616 | armnn::DetectionPostProcessDescriptor descriptor; |
| 617 | descriptor.m_UseRegularNms = true; |
| 618 | descriptor.m_MaxDetections = 3; |
| 619 | descriptor.m_MaxClassesPerDetection = 1; |
| 620 | descriptor.m_DetectionsPerClass =1; |
| 621 | descriptor.m_NmsScoreThreshold = 0.0; |
| 622 | descriptor.m_NmsIouThreshold = 0.5; |
| 623 | descriptor.m_NumClasses = 2; |
| 624 | descriptor.m_ScaleY = 10.0; |
| 625 | descriptor.m_ScaleX = 10.0; |
| 626 | descriptor.m_ScaleH = 5.0; |
| 627 | descriptor.m_ScaleW = 5.0; |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 628 | |
| 629 | const armnn::TensorInfo anchorsInfo({ 6, 4 }, armnn::DataType::Float32); |
| 630 | const std::vector<float> anchorsData({ |
| 631 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 632 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 633 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 634 | 0.5f, 10.5f, 1.0f, 1.0f, |
| 635 | 0.5f, 10.5f, 1.0f, 1.0f, |
| 636 | 0.5f, 100.5f, 1.0f, 1.0f |
| 637 | }); |
| 638 | armnn::ConstTensor anchors(anchorsInfo, anchorsData); |
| 639 | |
| 640 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 641 | armnn::IConnectableLayer* const detectionLayer = |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 642 | network->AddDetectionPostProcessLayer(descriptor, anchors, layerName.c_str()); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 643 | |
| 644 | for (unsigned int i = 0; i < 2; i++) |
| 645 | { |
| 646 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(static_cast<int>(i)); |
| 647 | inputLayer->GetOutputSlot(0).Connect(detectionLayer->GetInputSlot(i)); |
| 648 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfos[i]); |
| 649 | } |
| 650 | |
| 651 | for (unsigned int i = 0; i < 4; i++) |
| 652 | { |
| 653 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(static_cast<int>(i)); |
| 654 | detectionLayer->GetOutputSlot(i).Connect(outputLayer->GetInputSlot(0)); |
| 655 | detectionLayer->GetOutputSlot(i).SetTensorInfo(outputInfos[i]); |
| 656 | } |
| 657 | |
| 658 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 659 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 660 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 661 | const std::vector<armnn::ConstTensor>& constants {anchors}; |
| 662 | LayerVerifierBaseWithDescriptorAndConstants<armnn::DetectionPostProcessDescriptor> verifier( |
| 663 | layerName, inputInfos, outputInfos, descriptor, constants); |
| 664 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 665 | } |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 666 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 667 | TEST_CASE("SerializeDivision") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 668 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 669 | const std::string layerName("division"); |
| 670 | const armnn::TensorInfo info({ 1, 5, 2, 3 }, armnn::DataType::Float32); |
| 671 | |
| 672 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 673 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 674 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 675 | armnn::IConnectableLayer* const divisionLayer = network->AddDivisionLayer(layerName.c_str()); |
| 676 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 677 | |
| 678 | inputLayer0->GetOutputSlot(0).Connect(divisionLayer->GetInputSlot(0)); |
| 679 | inputLayer1->GetOutputSlot(0).Connect(divisionLayer->GetInputSlot(1)); |
| 680 | divisionLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 681 | |
| 682 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 683 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 684 | divisionLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 685 | |
| 686 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 687 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 688 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 689 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 690 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 691 | } |
| 692 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 693 | TEST_CASE("SerializeDeserializeEqual") |
Aron Virginas-Tar | 6d2e659 | 2019-10-22 11:44:47 +0100 | [diff] [blame] | 694 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 695 | const std::string layerName("EqualLayer"); |
| 696 | const armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({2, 1, 2, 4}, armnn::DataType::Float32); |
| 697 | const armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({2, 1, 2, 4}, armnn::DataType::Float32); |
| 698 | const armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({2, 1, 2, 4}, armnn::DataType::Boolean); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 699 | |
| 700 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 701 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(0); |
| 702 | armnn::IConnectableLayer* const inputLayer2 = network->AddInputLayer(1); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 703 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
| 704 | armnn::IConnectableLayer* const equalLayer = network->AddEqualLayer(layerName.c_str()); |
| 705 | ARMNN_NO_DEPRECATE_WARN_END |
| 706 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 707 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 708 | inputLayer1->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(0)); |
| 709 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputTensorInfo1); |
| 710 | inputLayer2->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(1)); |
| 711 | inputLayer2->GetOutputSlot(0).SetTensorInfo(inputTensorInfo2); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 712 | equalLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 713 | equalLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 714 | |
| 715 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 716 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 717 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 718 | LayerVerifierBase verifier(layerName, {inputTensorInfo1, inputTensorInfo2}, {outputTensorInfo}); |
| 719 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | 6d2e659 | 2019-10-22 11:44:47 +0100 | [diff] [blame] | 720 | } |
| 721 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 722 | TEST_CASE("SerializeFill") |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 723 | { |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 724 | const std::string layerName("fill"); |
Teresa Charlin | 4b10fef | 2020-07-29 09:36:41 +0100 | [diff] [blame] | 725 | const armnn::TensorInfo inputInfo({4}, armnn::DataType::Signed32); |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 726 | const armnn::TensorInfo outputInfo({1, 3, 3, 1}, armnn::DataType::Float32); |
| 727 | |
| 728 | armnn::FillDescriptor descriptor(1.0f); |
| 729 | |
| 730 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 731 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 732 | armnn::IConnectableLayer* const fillLayer = network->AddFillLayer(descriptor, layerName.c_str()); |
| 733 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 734 | |
| 735 | inputLayer->GetOutputSlot(0).Connect(fillLayer->GetInputSlot(0)); |
| 736 | fillLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 737 | |
| 738 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 739 | fillLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 740 | |
| 741 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 742 | CHECK(deserializedNetwork); |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 743 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 744 | LayerVerifierBaseWithDescriptor<armnn::FillDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, descriptor); |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 745 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 746 | deserializedNetwork->ExecuteStrategy(verifier); |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 747 | } |
| 748 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 749 | TEST_CASE("SerializeFloor") |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 750 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 751 | const std::string layerName("floor"); |
| 752 | const armnn::TensorInfo info({4,4}, armnn::DataType::Float32); |
| 753 | |
| 754 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 755 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 756 | armnn::IConnectableLayer* const floorLayer = network->AddFloorLayer(layerName.c_str()); |
| 757 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 758 | |
| 759 | inputLayer->GetOutputSlot(0).Connect(floorLayer->GetInputSlot(0)); |
| 760 | floorLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 761 | |
| 762 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 763 | floorLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 764 | |
| 765 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 766 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 767 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 768 | LayerVerifierBase verifier(layerName, {info}, {info}); |
| 769 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 770 | } |
| 771 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 772 | TEST_CASE("SerializeFullyConnected") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 773 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 774 | const std::string layerName("fullyConnected"); |
| 775 | const armnn::TensorInfo inputInfo ({ 2, 5, 1, 1 }, armnn::DataType::Float32); |
| 776 | const armnn::TensorInfo outputInfo({ 2, 3 }, armnn::DataType::Float32); |
| 777 | |
| 778 | const armnn::TensorInfo weightsInfo({ 5, 3 }, armnn::DataType::Float32); |
| 779 | const armnn::TensorInfo biasesInfo ({ 3 }, armnn::DataType::Float32); |
| 780 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 781 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 782 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 783 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 784 | |
| 785 | armnn::FullyConnectedDescriptor descriptor; |
| 786 | descriptor.m_BiasEnabled = true; |
| 787 | descriptor.m_TransposeWeightMatrix = false; |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 788 | descriptor.m_ConstantWeights = true; |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 789 | |
| 790 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 791 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 792 | armnn::IConnectableLayer* const fullyConnectedLayer = |
Matteo Martincigh | fc598e1 | 2019-05-14 10:36:13 +0100 | [diff] [blame] | 793 | network->AddFullyConnectedLayer(descriptor, |
| 794 | weights, |
| 795 | armnn::Optional<armnn::ConstTensor>(biases), |
| 796 | layerName.c_str()); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 797 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 798 | |
| 799 | inputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(0)); |
| 800 | fullyConnectedLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 801 | |
| 802 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 803 | fullyConnectedLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 804 | |
| 805 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 806 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 807 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 808 | const std::vector<armnn::ConstTensor> constants {weights, biases}; |
| 809 | LayerVerifierBaseWithDescriptorAndConstants<armnn::FullyConnectedDescriptor> verifier( |
| 810 | layerName, {inputInfo}, {outputInfo}, descriptor, constants); |
| 811 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 812 | } |
| 813 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 814 | TEST_CASE("SerializeFullyConnectedWeightsAsInputs") |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 815 | { |
| 816 | const std::string layerName("fullyConnected_weights_as_inputs"); |
| 817 | const armnn::TensorInfo inputInfo ({ 2, 5, 1, 1 }, armnn::DataType::Float32); |
| 818 | const armnn::TensorInfo outputInfo({ 2, 3 }, armnn::DataType::Float32); |
| 819 | |
| 820 | const armnn::TensorInfo weightsInfo({ 5, 3 }, armnn::DataType::Float32); |
| 821 | const armnn::TensorInfo biasesInfo ({ 3 }, armnn::DataType::Float32); |
| 822 | |
| 823 | armnn::Optional<armnn::ConstTensor> weights = armnn::EmptyOptional(); |
| 824 | armnn::Optional<armnn::ConstTensor> bias = armnn::EmptyOptional(); |
| 825 | |
| 826 | armnn::FullyConnectedDescriptor descriptor; |
| 827 | descriptor.m_BiasEnabled = true; |
| 828 | descriptor.m_TransposeWeightMatrix = false; |
| 829 | descriptor.m_ConstantWeights = false; |
| 830 | |
| 831 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 832 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 833 | armnn::IConnectableLayer* const weightsInputLayer = network->AddInputLayer(1); |
| 834 | armnn::IConnectableLayer* const biasInputLayer = network->AddInputLayer(2); |
| 835 | armnn::IConnectableLayer* const fullyConnectedLayer = |
| 836 | network->AddFullyConnectedLayer(descriptor, |
| 837 | weights, |
| 838 | bias, |
| 839 | layerName.c_str()); |
| 840 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 841 | |
| 842 | inputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(0)); |
| 843 | weightsInputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(1)); |
| 844 | biasInputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(2)); |
| 845 | fullyConnectedLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 846 | |
| 847 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 848 | weightsInputLayer->GetOutputSlot(0).SetTensorInfo(weightsInfo); |
| 849 | biasInputLayer->GetOutputSlot(0).SetTensorInfo(biasesInfo); |
| 850 | fullyConnectedLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 851 | |
| 852 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 853 | CHECK(deserializedNetwork); |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 854 | |
| 855 | const std::vector<armnn::ConstTensor> constants {}; |
| 856 | LayerVerifierBaseWithDescriptorAndConstants<armnn::FullyConnectedDescriptor> verifier( |
| 857 | layerName, {inputInfo, weightsInfo, biasesInfo}, {outputInfo}, descriptor, constants); |
| 858 | deserializedNetwork->ExecuteStrategy(verifier); |
| 859 | } |
| 860 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 861 | TEST_CASE("SerializeGather") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 862 | { |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 863 | using GatherDescriptor = armnn::GatherDescriptor; |
| 864 | class GatherLayerVerifier : public LayerVerifierBaseWithDescriptor<GatherDescriptor> |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 865 | { |
| 866 | public: |
| 867 | GatherLayerVerifier(const std::string& layerName, |
| 868 | const std::vector<armnn::TensorInfo>& inputInfos, |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 869 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 870 | const GatherDescriptor& descriptor) |
| 871 | : LayerVerifierBaseWithDescriptor<GatherDescriptor>(layerName, inputInfos, outputInfos, descriptor) {} |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 872 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 873 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 874 | const armnn::BaseDescriptor& descriptor, |
| 875 | const std::vector<armnn::ConstTensor>& constants, |
| 876 | const char* name, |
| 877 | const armnn::LayerBindingId id = 0) override |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 878 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 879 | armnn::IgnoreUnused(constants, id); |
| 880 | switch (layer->GetType()) |
| 881 | { |
| 882 | case armnn::LayerType::Input: break; |
| 883 | case armnn::LayerType::Output: break; |
| 884 | case armnn::LayerType::Constant: break; |
| 885 | default: |
| 886 | { |
| 887 | VerifyNameAndConnections(layer, name); |
| 888 | const GatherDescriptor& layerDescriptor = static_cast<const GatherDescriptor&>(descriptor); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 889 | CHECK(layerDescriptor.m_Axis == m_Descriptor.m_Axis); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 890 | } |
| 891 | } |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 892 | } |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 893 | }; |
| 894 | |
| 895 | const std::string layerName("gather"); |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 896 | armnn::TensorInfo paramsInfo({ 8 }, armnn::DataType::QAsymmU8); |
| 897 | armnn::TensorInfo outputInfo({ 3 }, armnn::DataType::QAsymmU8); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 898 | const armnn::TensorInfo indicesInfo({ 3 }, armnn::DataType::Signed32); |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 899 | GatherDescriptor descriptor; |
| 900 | descriptor.m_Axis = 1; |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 901 | |
| 902 | paramsInfo.SetQuantizationScale(1.0f); |
| 903 | paramsInfo.SetQuantizationOffset(0); |
| 904 | outputInfo.SetQuantizationScale(1.0f); |
| 905 | outputInfo.SetQuantizationOffset(0); |
| 906 | |
| 907 | const std::vector<int32_t>& indicesData = {7, 6, 5}; |
| 908 | |
| 909 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 910 | armnn::IConnectableLayer *const inputLayer = network->AddInputLayer(0); |
| 911 | armnn::IConnectableLayer *const constantLayer = |
| 912 | network->AddConstantLayer(armnn::ConstTensor(indicesInfo, indicesData)); |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 913 | armnn::IConnectableLayer *const gatherLayer = network->AddGatherLayer(descriptor, layerName.c_str()); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 914 | armnn::IConnectableLayer *const outputLayer = network->AddOutputLayer(0); |
| 915 | |
| 916 | inputLayer->GetOutputSlot(0).Connect(gatherLayer->GetInputSlot(0)); |
| 917 | constantLayer->GetOutputSlot(0).Connect(gatherLayer->GetInputSlot(1)); |
| 918 | gatherLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 919 | |
| 920 | inputLayer->GetOutputSlot(0).SetTensorInfo(paramsInfo); |
| 921 | constantLayer->GetOutputSlot(0).SetTensorInfo(indicesInfo); |
| 922 | gatherLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 923 | |
| 924 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 925 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 926 | |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 927 | GatherLayerVerifier verifier(layerName, {paramsInfo, indicesInfo}, {outputInfo}, descriptor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 928 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 929 | } |
| 930 | |
Aron Virginas-Tar | 6d2e659 | 2019-10-22 11:44:47 +0100 | [diff] [blame] | 931 | |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 932 | // NOTE: Until the deprecated AddGreaterLayer disappears this test checks that calling |
| 933 | // AddGreaterLayer places a ComparisonLayer into the serialized format and that |
| 934 | // when this deserialises we have a ComparisonLayer |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 935 | TEST_CASE("SerializeGreaterDeprecated") |
Aron Virginas-Tar | 781ced9 | 2019-10-03 11:15:39 +0100 | [diff] [blame] | 936 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 937 | const std::string layerName("greater"); |
| 938 | |
| 939 | const armnn::TensorShape shape{2, 1, 2, 4}; |
| 940 | |
| 941 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Float32); |
| 942 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Boolean); |
| 943 | |
| 944 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 945 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 946 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 947 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
| 948 | armnn::IConnectableLayer* const equalLayer = network->AddGreaterLayer(layerName.c_str()); |
| 949 | ARMNN_NO_DEPRECATE_WARN_END |
| 950 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 951 | |
| 952 | inputLayer0->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(0)); |
| 953 | inputLayer1->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(1)); |
| 954 | equalLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 955 | |
| 956 | inputLayer0->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 957 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 958 | equalLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 959 | |
| 960 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 961 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 962 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 963 | LayerVerifierBase verifier(layerName, { inputInfo, inputInfo }, { outputInfo }); |
| 964 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 965 | } |
| 966 | |
Aron Virginas-Tar | 6d2e659 | 2019-10-22 11:44:47 +0100 | [diff] [blame] | 967 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 968 | TEST_CASE("SerializeInstanceNormalization") |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 969 | { |
Aron Virginas-Tar | 781ced9 | 2019-10-03 11:15:39 +0100 | [diff] [blame] | 970 | const std::string layerName("instanceNormalization"); |
| 971 | const armnn::TensorInfo info({ 1, 2, 1, 5 }, armnn::DataType::Float32); |
| 972 | |
| 973 | armnn::InstanceNormalizationDescriptor descriptor; |
| 974 | descriptor.m_Gamma = 1.1f; |
| 975 | descriptor.m_Beta = 0.1f; |
| 976 | descriptor.m_Eps = 0.0001f; |
| 977 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 978 | |
| 979 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 980 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 981 | armnn::IConnectableLayer* const instanceNormLayer = |
| 982 | network->AddInstanceNormalizationLayer(descriptor, layerName.c_str()); |
| 983 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 984 | |
| 985 | inputLayer->GetOutputSlot(0).Connect(instanceNormLayer->GetInputSlot(0)); |
| 986 | instanceNormLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 987 | |
| 988 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 989 | instanceNormLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 990 | |
| 991 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 992 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | 781ced9 | 2019-10-03 11:15:39 +0100 | [diff] [blame] | 993 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 994 | LayerVerifierBaseWithDescriptor<armnn::InstanceNormalizationDescriptor> verifier( |
| 995 | layerName, {info}, {info}, descriptor); |
| 996 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | 781ced9 | 2019-10-03 11:15:39 +0100 | [diff] [blame] | 997 | } |
| 998 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 999 | TEST_CASE("SerializeL2Normalization") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1000 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1001 | const std::string l2NormLayerName("l2Normalization"); |
| 1002 | const armnn::TensorInfo info({1, 2, 1, 5}, armnn::DataType::Float32); |
| 1003 | |
| 1004 | armnn::L2NormalizationDescriptor desc; |
| 1005 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1006 | desc.m_Eps = 0.0001f; |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1007 | |
| 1008 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1009 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1010 | armnn::IConnectableLayer* const l2NormLayer = network->AddL2NormalizationLayer(desc, l2NormLayerName.c_str()); |
| 1011 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1012 | |
| 1013 | inputLayer0->GetOutputSlot(0).Connect(l2NormLayer->GetInputSlot(0)); |
| 1014 | l2NormLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1015 | |
| 1016 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1017 | l2NormLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1018 | |
| 1019 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1020 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1021 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1022 | LayerVerifierBaseWithDescriptor<armnn::L2NormalizationDescriptor> verifier( |
| 1023 | l2NormLayerName, {info}, {info}, desc); |
| 1024 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1025 | } |
| 1026 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1027 | TEST_CASE("EnsureL2NormalizationBackwardCompatibility") |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1028 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1029 | // The hex data below is a flat buffer containing a simple network with one input |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1030 | // a L2Normalization layer and an output layer with dimensions as per the tensor infos below. |
| 1031 | // |
| 1032 | // This test verifies that we can still read back these old style |
| 1033 | // models without the normalization epsilon value. |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1034 | const std::vector<uint8_t> l2NormalizationModel = |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1035 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1036 | 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, |
| 1037 | 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 1038 | 0x3C, 0x01, 0x00, 0x00, 0x74, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1039 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0xE8, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, |
| 1040 | 0x04, 0x00, 0x00, 0x00, 0xD6, 0xFE, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, |
| 1041 | 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x9E, 0xFF, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, |
| 1042 | 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1043 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1044 | 0x4C, 0xFF, 0xFF, 0xFF, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x44, 0xFF, 0xFF, 0xFF, 0x00, 0x00, |
| 1045 | 0x00, 0x20, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 1046 | 0x20, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1047 | 0x0E, 0x00, 0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x14, 0x00, 0x0E, 0x00, 0x00, 0x00, |
| 1048 | 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x1F, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x20, 0x00, |
| 1049 | 0x00, 0x00, 0x0F, 0x00, 0x00, 0x00, 0x6C, 0x32, 0x4E, 0x6F, 0x72, 0x6D, 0x61, 0x6C, 0x69, 0x7A, 0x61, 0x74, |
| 1050 | 0x69, 0x6F, 0x6E, 0x00, 0x01, 0x00, 0x00, 0x00, 0x48, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, |
| 1051 | 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 1052 | 0x52, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 1053 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x05, 0x00, 0x00, 0x00, |
| 1054 | 0x08, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1055 | 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, |
| 1056 | 0x04, 0x00, 0x00, 0x00, 0xF6, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x0A, 0x00, |
| 1057 | 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x14, 0x00, 0x00, 0x00, |
| 1058 | 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x0E, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, |
| 1059 | 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1060 | 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0A, 0x00, 0x00, 0x00, |
| 1061 | 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x08, 0x00, |
| 1062 | 0x07, 0x00, 0x0C, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1063 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, |
| 1064 | 0x05, 0x00, 0x00, 0x00, 0x00 |
| 1065 | }; |
| 1066 | |
| 1067 | armnn::INetworkPtr deserializedNetwork = |
| 1068 | DeserializeNetwork(std::string(l2NormalizationModel.begin(), l2NormalizationModel.end())); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1069 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1070 | |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1071 | const std::string layerName("l2Normalization"); |
| 1072 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({1, 2, 1, 5}, armnn::DataType::Float32); |
| 1073 | |
| 1074 | armnn::L2NormalizationDescriptor desc; |
| 1075 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1076 | // Since this variable does not exist in the l2NormalizationModel dump, the default value will be loaded |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1077 | desc.m_Eps = 1e-12f; |
| 1078 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1079 | LayerVerifierBaseWithDescriptor<armnn::L2NormalizationDescriptor> verifier( |
| 1080 | layerName, {inputInfo}, {inputInfo}, desc); |
| 1081 | deserializedNetwork->ExecuteStrategy(verifier); |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1082 | } |
| 1083 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1084 | TEST_CASE("SerializeLogicalBinary") |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 1085 | { |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 1086 | const std::string layerName("logicalBinaryAnd"); |
| 1087 | |
| 1088 | const armnn::TensorShape shape{2, 1, 2, 2}; |
| 1089 | |
| 1090 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Boolean); |
| 1091 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Boolean); |
| 1092 | |
| 1093 | armnn::LogicalBinaryDescriptor descriptor(armnn::LogicalBinaryOperation::LogicalAnd); |
| 1094 | |
| 1095 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1096 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1097 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1098 | armnn::IConnectableLayer* const logicalBinaryLayer = network->AddLogicalBinaryLayer(descriptor, layerName.c_str()); |
| 1099 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1100 | |
| 1101 | inputLayer0->GetOutputSlot(0).Connect(logicalBinaryLayer->GetInputSlot(0)); |
| 1102 | inputLayer1->GetOutputSlot(0).Connect(logicalBinaryLayer->GetInputSlot(1)); |
| 1103 | logicalBinaryLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1104 | |
| 1105 | inputLayer0->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1106 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1107 | logicalBinaryLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1108 | |
| 1109 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1110 | CHECK(deserializedNetwork); |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 1111 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1112 | LayerVerifierBaseWithDescriptor<armnn::LogicalBinaryDescriptor> verifier( |
| 1113 | layerName, { inputInfo, inputInfo }, { outputInfo }, descriptor); |
| 1114 | deserializedNetwork->ExecuteStrategy(verifier); |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 1115 | } |
| 1116 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1117 | TEST_CASE("SerializeLogicalUnary") |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 1118 | { |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 1119 | const std::string layerName("elementwiseUnaryLogicalNot"); |
| 1120 | |
| 1121 | const armnn::TensorShape shape{2, 1, 2, 2}; |
| 1122 | |
| 1123 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Boolean); |
| 1124 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Boolean); |
| 1125 | |
| 1126 | armnn::ElementwiseUnaryDescriptor descriptor(armnn::UnaryOperation::LogicalNot); |
| 1127 | |
| 1128 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1129 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1130 | armnn::IConnectableLayer* const elementwiseUnaryLayer = |
| 1131 | network->AddElementwiseUnaryLayer(descriptor, layerName.c_str()); |
| 1132 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1133 | |
| 1134 | inputLayer->GetOutputSlot(0).Connect(elementwiseUnaryLayer->GetInputSlot(0)); |
| 1135 | elementwiseUnaryLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1136 | |
| 1137 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1138 | elementwiseUnaryLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1139 | |
| 1140 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1141 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1142 | CHECK(deserializedNetwork); |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 1143 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1144 | LayerVerifierBaseWithDescriptor<armnn::ElementwiseUnaryDescriptor> verifier( |
| 1145 | layerName, { inputInfo }, { outputInfo }, descriptor); |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 1146 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1147 | deserializedNetwork->ExecuteStrategy(verifier); |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 1148 | } |
| 1149 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1150 | TEST_CASE("SerializeLogSoftmax") |
Sadik Armagan | 2625785 | 2019-10-14 13:00:47 +0100 | [diff] [blame] | 1151 | { |
Sadik Armagan | 2625785 | 2019-10-14 13:00:47 +0100 | [diff] [blame] | 1152 | const std::string layerName("log_softmax"); |
| 1153 | const armnn::TensorInfo info({1, 10}, armnn::DataType::Float32); |
| 1154 | |
| 1155 | armnn::LogSoftmaxDescriptor descriptor; |
| 1156 | descriptor.m_Beta = 1.0f; |
| 1157 | descriptor.m_Axis = -1; |
| 1158 | |
| 1159 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1160 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1161 | armnn::IConnectableLayer* const logSoftmaxLayer = network->AddLogSoftmaxLayer(descriptor, layerName.c_str()); |
| 1162 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1163 | |
| 1164 | inputLayer->GetOutputSlot(0).Connect(logSoftmaxLayer->GetInputSlot(0)); |
| 1165 | logSoftmaxLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1166 | |
| 1167 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1168 | logSoftmaxLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1169 | |
| 1170 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1171 | CHECK(deserializedNetwork); |
Sadik Armagan | 2625785 | 2019-10-14 13:00:47 +0100 | [diff] [blame] | 1172 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1173 | LayerVerifierBaseWithDescriptor<armnn::LogSoftmaxDescriptor> verifier(layerName, {info}, {info}, descriptor); |
| 1174 | deserializedNetwork->ExecuteStrategy(verifier); |
Sadik Armagan | 2625785 | 2019-10-14 13:00:47 +0100 | [diff] [blame] | 1175 | } |
| 1176 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1177 | TEST_CASE("SerializeMaximum") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1178 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1179 | const std::string layerName("maximum"); |
| 1180 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 1181 | |
| 1182 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1183 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1184 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1185 | armnn::IConnectableLayer* const maximumLayer = network->AddMaximumLayer(layerName.c_str()); |
| 1186 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1187 | |
| 1188 | inputLayer0->GetOutputSlot(0).Connect(maximumLayer->GetInputSlot(0)); |
| 1189 | inputLayer1->GetOutputSlot(0).Connect(maximumLayer->GetInputSlot(1)); |
| 1190 | maximumLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1191 | |
| 1192 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1193 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 1194 | maximumLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1195 | |
| 1196 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1197 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1198 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1199 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 1200 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1201 | } |
| 1202 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1203 | TEST_CASE("SerializeMean") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1204 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1205 | const std::string layerName("mean"); |
| 1206 | const armnn::TensorInfo inputInfo({1, 1, 3, 2}, armnn::DataType::Float32); |
| 1207 | const armnn::TensorInfo outputInfo({1, 1, 1, 2}, armnn::DataType::Float32); |
| 1208 | |
| 1209 | armnn::MeanDescriptor descriptor; |
| 1210 | descriptor.m_Axis = { 2 }; |
| 1211 | descriptor.m_KeepDims = true; |
| 1212 | |
| 1213 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1214 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1215 | armnn::IConnectableLayer* const meanLayer = network->AddMeanLayer(descriptor, layerName.c_str()); |
| 1216 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1217 | |
| 1218 | inputLayer->GetOutputSlot(0).Connect(meanLayer->GetInputSlot(0)); |
| 1219 | meanLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1220 | |
| 1221 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1222 | meanLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1223 | |
| 1224 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1225 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1226 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1227 | LayerVerifierBaseWithDescriptor<armnn::MeanDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, descriptor); |
| 1228 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1229 | } |
| 1230 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1231 | TEST_CASE("SerializeMerge") |
Nattapat Chaimanowong | 1f88630 | 2019-04-05 13:37:19 +0100 | [diff] [blame] | 1232 | { |
Nattapat Chaimanowong | 1f88630 | 2019-04-05 13:37:19 +0100 | [diff] [blame] | 1233 | const std::string layerName("merge"); |
| 1234 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 1235 | |
| 1236 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1237 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1238 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1239 | armnn::IConnectableLayer* const mergeLayer = network->AddMergeLayer(layerName.c_str()); |
| 1240 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1241 | |
| 1242 | inputLayer0->GetOutputSlot(0).Connect(mergeLayer->GetInputSlot(0)); |
| 1243 | inputLayer1->GetOutputSlot(0).Connect(mergeLayer->GetInputSlot(1)); |
| 1244 | mergeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1245 | |
| 1246 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1247 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 1248 | mergeLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1249 | |
| 1250 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1251 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 1f88630 | 2019-04-05 13:37:19 +0100 | [diff] [blame] | 1252 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1253 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 1254 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 1f88630 | 2019-04-05 13:37:19 +0100 | [diff] [blame] | 1255 | } |
| 1256 | |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1257 | class MergerLayerVerifier : public LayerVerifierBaseWithDescriptor<armnn::OriginsDescriptor> |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1258 | { |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1259 | public: |
| 1260 | MergerLayerVerifier(const std::string& layerName, |
| 1261 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 1262 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 1263 | const armnn::OriginsDescriptor& descriptor) |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1264 | : LayerVerifierBaseWithDescriptor<armnn::OriginsDescriptor>(layerName, inputInfos, outputInfos, descriptor) {} |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1265 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1266 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 1267 | const armnn::BaseDescriptor& descriptor, |
| 1268 | const std::vector<armnn::ConstTensor>& constants, |
| 1269 | const char* name, |
| 1270 | const armnn::LayerBindingId id = 0) override |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1271 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1272 | armnn::IgnoreUnused(descriptor, constants, id); |
| 1273 | switch (layer->GetType()) |
| 1274 | { |
| 1275 | case armnn::LayerType::Input: break; |
| 1276 | case armnn::LayerType::Output: break; |
| 1277 | case armnn::LayerType::Merge: |
| 1278 | { |
| 1279 | throw armnn::Exception("MergerLayer should have translated to ConcatLayer"); |
| 1280 | break; |
| 1281 | } |
| 1282 | case armnn::LayerType::Concat: |
| 1283 | { |
| 1284 | VerifyNameAndConnections(layer, name); |
| 1285 | const armnn::MergerDescriptor& layerDescriptor = |
| 1286 | static_cast<const armnn::MergerDescriptor&>(descriptor); |
| 1287 | VerifyDescriptor(layerDescriptor); |
| 1288 | break; |
| 1289 | } |
| 1290 | default: |
| 1291 | { |
| 1292 | throw armnn::Exception("Unexpected layer type in Merge test model"); |
| 1293 | } |
| 1294 | } |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1295 | } |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1296 | }; |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1297 | |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1298 | // NOTE: Until the deprecated AddMergerLayer disappears this test checks that calling |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1299 | // AddMergerLayer places a ConcatLayer into the serialized format and that |
| 1300 | // when this deserialises we have a ConcatLayer |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1301 | TEST_CASE("SerializeMerger") |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1302 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1303 | const std::string layerName("merger"); |
| 1304 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({2, 3, 2, 2}, armnn::DataType::Float32); |
| 1305 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({4, 3, 2, 2}, armnn::DataType::Float32); |
| 1306 | |
| 1307 | const std::vector<armnn::TensorShape> shapes({inputInfo.GetShape(), inputInfo.GetShape()}); |
| 1308 | |
| 1309 | armnn::OriginsDescriptor descriptor = |
Jim Flynn | 825af45 | 2019-05-20 12:49:28 +0100 | [diff] [blame] | 1310 | armnn::CreateDescriptorForConcatenation(shapes.begin(), shapes.end(), 0); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1311 | |
| 1312 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1313 | armnn::IConnectableLayer* const inputLayerOne = network->AddInputLayer(0); |
| 1314 | armnn::IConnectableLayer* const inputLayerTwo = network->AddInputLayer(1); |
Jim Flynn | 906f946 | 2019-05-10 13:55:21 +0100 | [diff] [blame] | 1315 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1316 | armnn::IConnectableLayer* const mergerLayer = network->AddMergerLayer(descriptor, layerName.c_str()); |
Jim Flynn | 906f946 | 2019-05-10 13:55:21 +0100 | [diff] [blame] | 1317 | ARMNN_NO_DEPRECATE_WARN_END |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1318 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1319 | |
| 1320 | inputLayerOne->GetOutputSlot(0).Connect(mergerLayer->GetInputSlot(0)); |
| 1321 | inputLayerTwo->GetOutputSlot(0).Connect(mergerLayer->GetInputSlot(1)); |
| 1322 | mergerLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1323 | |
| 1324 | inputLayerOne->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1325 | inputLayerTwo->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1326 | mergerLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1327 | |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1328 | std::string mergerLayerNetwork = SerializeNetwork(*network); |
| 1329 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(mergerLayerNetwork); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1330 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1331 | |
| 1332 | MergerLayerVerifier verifier(layerName, {inputInfo, inputInfo}, {outputInfo}, descriptor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1333 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1334 | } |
| 1335 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1336 | TEST_CASE("EnsureMergerLayerBackwardCompatibility") |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1337 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1338 | // The hex data below is a flat buffer containing a simple network with two inputs |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1339 | // a merger layer (now deprecated) and an output layer with dimensions as per the tensor infos below. |
| 1340 | // |
| 1341 | // This test verifies that we can still read back these old style |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1342 | // models replacing the MergerLayers with ConcatLayers with the same parameters. |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1343 | const std::vector<uint8_t> mergerModel = |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1344 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1345 | 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, |
| 1346 | 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 1347 | 0x38, 0x02, 0x00, 0x00, 0x8C, 0x01, 0x00, 0x00, 0x70, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1348 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 1349 | 0xF4, 0xFD, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, 0x04, 0x00, 0x00, 0x00, 0x92, 0xFE, 0xFF, 0xFF, 0x04, 0x00, |
| 1350 | 0x00, 0x00, 0x9A, 0xFE, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x7E, 0xFE, 0xFF, 0xFF, 0x03, 0x00, 0x00, 0x00, |
| 1351 | 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1352 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1353 | 0xF8, 0xFE, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x48, 0xFE, 0xFF, 0xFF, 0x00, 0x00, |
| 1354 | 0x00, 0x1F, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 1355 | 0x68, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, |
| 1356 | 0x0C, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 1357 | 0x02, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x22, 0xFF, 0xFF, 0xFF, 0x04, 0x00, |
| 1358 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1359 | 0x00, 0x00, 0x00, 0x00, 0x3E, 0xFF, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1360 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x36, 0xFF, 0xFF, 0xFF, |
| 1361 | 0x02, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x1E, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1C, 0x00, |
| 1362 | 0x00, 0x00, 0x06, 0x00, 0x00, 0x00, 0x6D, 0x65, 0x72, 0x67, 0x65, 0x72, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, |
| 1363 | 0x5C, 0x00, 0x00, 0x00, 0x40, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x34, 0xFF, |
| 1364 | 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x92, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, |
| 1365 | 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1366 | 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 1367 | 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x00, 0x00, |
| 1368 | 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0E, 0x00, |
| 1369 | 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1370 | 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0E, 0x00, |
| 1371 | 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1372 | 0x0E, 0x00, 0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x14, 0x00, 0x0E, 0x00, 0x00, 0x00, |
| 1373 | 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, |
| 1374 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, |
| 1375 | 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 1376 | 0x00, 0x00, 0x66, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1377 | 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1378 | 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, |
| 1379 | 0x04, 0x00, 0x00, 0x00, 0xF6, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x0A, 0x00, |
| 1380 | 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x14, 0x00, 0x00, 0x00, |
| 1381 | 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x0E, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, |
| 1382 | 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1383 | 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0A, 0x00, 0x00, 0x00, |
| 1384 | 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x08, 0x00, |
| 1385 | 0x07, 0x00, 0x0C, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1386 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, |
| 1387 | 0x02, 0x00, 0x00, 0x00 |
| 1388 | }; |
| 1389 | |
| 1390 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(std::string(mergerModel.begin(), mergerModel.end())); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1391 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1392 | |
| 1393 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({ 2, 3, 2, 2 }, armnn::DataType::Float32); |
| 1394 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({ 4, 3, 2, 2 }, armnn::DataType::Float32); |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1395 | |
| 1396 | const std::vector<armnn::TensorShape> shapes({inputInfo.GetShape(), inputInfo.GetShape()}); |
| 1397 | |
| 1398 | armnn::OriginsDescriptor descriptor = |
Jim Flynn | 825af45 | 2019-05-20 12:49:28 +0100 | [diff] [blame] | 1399 | armnn::CreateDescriptorForConcatenation(shapes.begin(), shapes.end(), 0); |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1400 | |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1401 | MergerLayerVerifier verifier("merger", { inputInfo, inputInfo }, { outputInfo }, descriptor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1402 | deserializedNetwork->ExecuteStrategy(verifier); |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1403 | } |
| 1404 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1405 | TEST_CASE("SerializeConcat") |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1406 | { |
| 1407 | const std::string layerName("concat"); |
| 1408 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({2, 3, 2, 2}, armnn::DataType::Float32); |
| 1409 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({4, 3, 2, 2}, armnn::DataType::Float32); |
| 1410 | |
| 1411 | const std::vector<armnn::TensorShape> shapes({inputInfo.GetShape(), inputInfo.GetShape()}); |
| 1412 | |
| 1413 | armnn::OriginsDescriptor descriptor = |
| 1414 | armnn::CreateDescriptorForConcatenation(shapes.begin(), shapes.end(), 0); |
| 1415 | |
| 1416 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1417 | armnn::IConnectableLayer* const inputLayerOne = network->AddInputLayer(0); |
| 1418 | armnn::IConnectableLayer* const inputLayerTwo = network->AddInputLayer(1); |
| 1419 | armnn::IConnectableLayer* const concatLayer = network->AddConcatLayer(descriptor, layerName.c_str()); |
| 1420 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1421 | |
| 1422 | inputLayerOne->GetOutputSlot(0).Connect(concatLayer->GetInputSlot(0)); |
| 1423 | inputLayerTwo->GetOutputSlot(0).Connect(concatLayer->GetInputSlot(1)); |
| 1424 | concatLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1425 | |
| 1426 | inputLayerOne->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1427 | inputLayerTwo->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1428 | concatLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1429 | |
| 1430 | std::string concatLayerNetwork = SerializeNetwork(*network); |
| 1431 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(concatLayerNetwork); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1432 | CHECK(deserializedNetwork); |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1433 | |
| 1434 | // NOTE: using the MergerLayerVerifier to ensure that it is a concat layer and not a |
| 1435 | // merger layer that gets placed into the graph. |
| 1436 | MergerLayerVerifier verifier(layerName, {inputInfo, inputInfo}, {outputInfo}, descriptor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1437 | deserializedNetwork->ExecuteStrategy(verifier); |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1438 | } |
| 1439 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1440 | TEST_CASE("SerializeMinimum") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1441 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1442 | const std::string layerName("minimum"); |
| 1443 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 1444 | |
| 1445 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1446 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1447 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1448 | armnn::IConnectableLayer* const minimumLayer = network->AddMinimumLayer(layerName.c_str()); |
| 1449 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1450 | |
| 1451 | inputLayer0->GetOutputSlot(0).Connect(minimumLayer->GetInputSlot(0)); |
| 1452 | inputLayer1->GetOutputSlot(0).Connect(minimumLayer->GetInputSlot(1)); |
| 1453 | minimumLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1454 | |
| 1455 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1456 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 1457 | minimumLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1458 | |
| 1459 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1460 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1461 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1462 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 1463 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1464 | } |
| 1465 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1466 | TEST_CASE("SerializeMultiplication") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1467 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1468 | const std::string layerName("multiplication"); |
| 1469 | const armnn::TensorInfo info({ 1, 5, 2, 3 }, armnn::DataType::Float32); |
| 1470 | |
| 1471 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1472 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1473 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1474 | armnn::IConnectableLayer* const multiplicationLayer = network->AddMultiplicationLayer(layerName.c_str()); |
| 1475 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1476 | |
| 1477 | inputLayer0->GetOutputSlot(0).Connect(multiplicationLayer->GetInputSlot(0)); |
| 1478 | inputLayer1->GetOutputSlot(0).Connect(multiplicationLayer->GetInputSlot(1)); |
| 1479 | multiplicationLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1480 | |
| 1481 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1482 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 1483 | multiplicationLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1484 | |
| 1485 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1486 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1487 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1488 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 1489 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1490 | } |
| 1491 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1492 | TEST_CASE("SerializePrelu") |
Ellen Norris-Thompson | 5198247 | 2019-06-19 11:46:21 +0100 | [diff] [blame] | 1493 | { |
Ellen Norris-Thompson | 5198247 | 2019-06-19 11:46:21 +0100 | [diff] [blame] | 1494 | const std::string layerName("prelu"); |
| 1495 | |
| 1496 | armnn::TensorInfo inputTensorInfo ({ 4, 1, 2 }, armnn::DataType::Float32); |
| 1497 | armnn::TensorInfo alphaTensorInfo ({ 5, 4, 3, 1 }, armnn::DataType::Float32); |
| 1498 | armnn::TensorInfo outputTensorInfo({ 5, 4, 3, 2 }, armnn::DataType::Float32); |
| 1499 | |
| 1500 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1501 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1502 | armnn::IConnectableLayer* const alphaLayer = network->AddInputLayer(1); |
| 1503 | armnn::IConnectableLayer* const preluLayer = network->AddPreluLayer(layerName.c_str()); |
| 1504 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1505 | |
| 1506 | inputLayer->GetOutputSlot(0).Connect(preluLayer->GetInputSlot(0)); |
| 1507 | alphaLayer->GetOutputSlot(0).Connect(preluLayer->GetInputSlot(1)); |
| 1508 | preluLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1509 | |
| 1510 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 1511 | alphaLayer->GetOutputSlot(0).SetTensorInfo(alphaTensorInfo); |
| 1512 | preluLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1513 | |
| 1514 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1515 | CHECK(deserializedNetwork); |
Ellen Norris-Thompson | 5198247 | 2019-06-19 11:46:21 +0100 | [diff] [blame] | 1516 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1517 | LayerVerifierBase verifier(layerName, {inputTensorInfo, alphaTensorInfo}, {outputTensorInfo}); |
| 1518 | deserializedNetwork->ExecuteStrategy(verifier); |
Ellen Norris-Thompson | 5198247 | 2019-06-19 11:46:21 +0100 | [diff] [blame] | 1519 | } |
| 1520 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1521 | TEST_CASE("SerializeNormalization") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1522 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1523 | const std::string layerName("normalization"); |
| 1524 | const armnn::TensorInfo info({2, 1, 2, 2}, armnn::DataType::Float32); |
| 1525 | |
| 1526 | armnn::NormalizationDescriptor desc; |
| 1527 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 1528 | desc.m_NormSize = 3; |
| 1529 | desc.m_Alpha = 1; |
| 1530 | desc.m_Beta = 1; |
| 1531 | desc.m_K = 1; |
| 1532 | |
| 1533 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1534 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1535 | armnn::IConnectableLayer* const normalizationLayer = network->AddNormalizationLayer(desc, layerName.c_str()); |
| 1536 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1537 | |
| 1538 | inputLayer->GetOutputSlot(0).Connect(normalizationLayer->GetInputSlot(0)); |
| 1539 | normalizationLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1540 | |
| 1541 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1542 | normalizationLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1543 | |
| 1544 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1545 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1546 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1547 | LayerVerifierBaseWithDescriptor<armnn::NormalizationDescriptor> verifier(layerName, {info}, {info}, desc); |
| 1548 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1549 | } |
| 1550 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1551 | TEST_CASE("SerializePad") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1552 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1553 | const std::string layerName("pad"); |
| 1554 | const armnn::TensorInfo inputTensorInfo = armnn::TensorInfo({1, 2, 3, 4}, armnn::DataType::Float32); |
| 1555 | const armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 5, 7}, armnn::DataType::Float32); |
| 1556 | |
| 1557 | armnn::PadDescriptor desc({{0, 0}, {1, 0}, {1, 1}, {1, 2}}); |
| 1558 | |
| 1559 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1560 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1561 | armnn::IConnectableLayer* const padLayer = network->AddPadLayer(desc, layerName.c_str()); |
| 1562 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1563 | |
| 1564 | inputLayer->GetOutputSlot(0).Connect(padLayer->GetInputSlot(0)); |
| 1565 | padLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1566 | |
| 1567 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 1568 | padLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1569 | |
| 1570 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1571 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1572 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1573 | LayerVerifierBaseWithDescriptor<armnn::PadDescriptor> verifier(layerName, |
| 1574 | {inputTensorInfo}, |
| 1575 | {outputTensorInfo}, |
| 1576 | desc); |
| 1577 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1578 | } |
| 1579 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1580 | TEST_CASE("EnsurePadBackwardCompatibility") |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1581 | { |
| 1582 | // The PadDescriptor is being extended with a float PadValue (so a value other than 0 |
| 1583 | // can be used to pad the tensor. |
| 1584 | // |
| 1585 | // This test contains a binary representation of a simple input->pad->output network |
| 1586 | // prior to this change to test that the descriptor has been updated in a backward |
| 1587 | // compatible way with respect to Deserialization of older binary dumps |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1588 | const std::vector<uint8_t> padModel = |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1589 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1590 | 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, |
| 1591 | 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 1592 | 0x54, 0x01, 0x00, 0x00, 0x6C, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1593 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0xD0, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, |
| 1594 | 0x04, 0x00, 0x00, 0x00, 0x96, 0xFF, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x9E, 0xFF, 0xFF, 0xFF, 0x04, 0x00, |
| 1595 | 0x00, 0x00, 0x72, 0xFF, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 1596 | 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, |
| 1597 | 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x2C, 0xFF, 0xFF, 0xFF, 0x01, 0x00, 0x00, 0x00, |
| 1598 | 0x00, 0x00, 0x00, 0x00, 0x24, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x16, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, |
| 1599 | 0x0E, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x4C, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, |
| 1600 | 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x08, 0x00, |
| 1601 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1602 | 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1603 | 0x0E, 0x00, 0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x14, 0x00, 0x0E, 0x00, 0x00, 0x00, |
| 1604 | 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, |
| 1605 | 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x70, 0x61, 0x64, 0x00, 0x01, 0x00, 0x00, 0x00, 0x48, 0x00, 0x00, 0x00, |
| 1606 | 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, |
| 1607 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x52, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, |
| 1608 | 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x05, 0x00, |
| 1609 | 0x00, 0x00, 0x07, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 1610 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, |
| 1611 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x04, 0x00, 0x00, 0x00, 0xF6, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, |
| 1612 | 0x00, 0x00, 0x06, 0x00, 0x0A, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1613 | 0x0E, 0x00, 0x14, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x0E, 0x00, 0x00, 0x00, |
| 1614 | 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1615 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, |
| 1616 | 0x08, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1617 | 0x0A, 0x00, 0x10, 0x00, 0x08, 0x00, 0x07, 0x00, 0x0C, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, |
| 1618 | 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1619 | 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x00 |
| 1620 | }; |
| 1621 | |
| 1622 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(std::string(padModel.begin(), padModel.end())); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1623 | CHECK(deserializedNetwork); |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1624 | |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1625 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({ 1, 2, 3, 4 }, armnn::DataType::Float32); |
| 1626 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({ 1, 3, 5, 7 }, armnn::DataType::Float32); |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1627 | |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1628 | armnn::PadDescriptor descriptor({{ 0, 0 }, { 1, 0 }, { 1, 1 }, { 1, 2 }}); |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1629 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1630 | LayerVerifierBaseWithDescriptor<armnn::PadDescriptor> verifier("pad", { inputInfo }, { outputInfo }, descriptor); |
| 1631 | deserializedNetwork->ExecuteStrategy(verifier); |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1632 | } |
| 1633 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1634 | TEST_CASE("SerializePermute") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1635 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1636 | const std::string layerName("permute"); |
| 1637 | const armnn::TensorInfo inputTensorInfo({4, 3, 2, 1}, armnn::DataType::Float32); |
| 1638 | const armnn::TensorInfo outputTensorInfo({1, 2, 3, 4}, armnn::DataType::Float32); |
| 1639 | |
| 1640 | armnn::PermuteDescriptor descriptor(armnn::PermutationVector({3, 2, 1, 0})); |
| 1641 | |
| 1642 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1643 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1644 | armnn::IConnectableLayer* const permuteLayer = network->AddPermuteLayer(descriptor, layerName.c_str()); |
| 1645 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1646 | |
| 1647 | inputLayer->GetOutputSlot(0).Connect(permuteLayer->GetInputSlot(0)); |
| 1648 | permuteLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1649 | |
| 1650 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 1651 | permuteLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1652 | |
| 1653 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1654 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1655 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1656 | LayerVerifierBaseWithDescriptor<armnn::PermuteDescriptor> verifier( |
| 1657 | layerName, {inputTensorInfo}, {outputTensorInfo}, descriptor); |
| 1658 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1659 | } |
| 1660 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1661 | TEST_CASE("SerializePooling2d") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1662 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1663 | const std::string layerName("pooling2d"); |
| 1664 | const armnn::TensorInfo inputInfo({1, 2, 2, 1}, armnn::DataType::Float32); |
| 1665 | const armnn::TensorInfo outputInfo({1, 1, 1, 1}, armnn::DataType::Float32); |
| 1666 | |
| 1667 | armnn::Pooling2dDescriptor desc; |
| 1668 | desc.m_DataLayout = armnn::DataLayout::NHWC; |
| 1669 | desc.m_PadTop = 0; |
| 1670 | desc.m_PadBottom = 0; |
| 1671 | desc.m_PadLeft = 0; |
| 1672 | desc.m_PadRight = 0; |
| 1673 | desc.m_PoolType = armnn::PoolingAlgorithm::Average; |
| 1674 | desc.m_OutputShapeRounding = armnn::OutputShapeRounding::Floor; |
| 1675 | desc.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 1676 | desc.m_PoolHeight = 2; |
| 1677 | desc.m_PoolWidth = 2; |
| 1678 | desc.m_StrideX = 2; |
| 1679 | desc.m_StrideY = 2; |
| 1680 | |
| 1681 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1682 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1683 | armnn::IConnectableLayer* const pooling2dLayer = network->AddPooling2dLayer(desc, layerName.c_str()); |
| 1684 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1685 | |
| 1686 | inputLayer->GetOutputSlot(0).Connect(pooling2dLayer->GetInputSlot(0)); |
| 1687 | pooling2dLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1688 | |
| 1689 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1690 | pooling2dLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1691 | |
| 1692 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1693 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1694 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1695 | LayerVerifierBaseWithDescriptor<armnn::Pooling2dDescriptor> verifier( |
| 1696 | layerName, {inputInfo}, {outputInfo}, desc); |
| 1697 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1698 | } |
| 1699 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1700 | TEST_CASE("SerializeQuantize") |
Derek Lamberti | 87acb27 | 2019-03-27 16:51:31 +0000 | [diff] [blame] | 1701 | { |
Derek Lamberti | 87acb27 | 2019-03-27 16:51:31 +0000 | [diff] [blame] | 1702 | const std::string layerName("quantize"); |
| 1703 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 1704 | |
| 1705 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1706 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1707 | armnn::IConnectableLayer* const quantizeLayer = network->AddQuantizeLayer(layerName.c_str()); |
| 1708 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1709 | |
| 1710 | inputLayer->GetOutputSlot(0).Connect(quantizeLayer->GetInputSlot(0)); |
| 1711 | quantizeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1712 | |
| 1713 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1714 | quantizeLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1715 | |
| 1716 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1717 | CHECK(deserializedNetwork); |
Derek Lamberti | 87acb27 | 2019-03-27 16:51:31 +0000 | [diff] [blame] | 1718 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1719 | LayerVerifierBase verifier(layerName, {info}, {info}); |
| 1720 | deserializedNetwork->ExecuteStrategy(verifier); |
Derek Lamberti | 87acb27 | 2019-03-27 16:51:31 +0000 | [diff] [blame] | 1721 | } |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1722 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1723 | TEST_CASE("SerializeRank") |
Finn Williams | 2605b23 | 2020-06-10 15:53:46 +0100 | [diff] [blame] | 1724 | { |
Finn Williams | 2605b23 | 2020-06-10 15:53:46 +0100 | [diff] [blame] | 1725 | const std::string layerName("rank"); |
| 1726 | const armnn::TensorInfo inputInfo({1, 9}, armnn::DataType::Float32); |
| 1727 | const armnn::TensorInfo outputInfo({1}, armnn::DataType::Signed32); |
| 1728 | |
| 1729 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1730 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1731 | armnn::IConnectableLayer* const rankLayer = network->AddRankLayer(layerName.c_str()); |
| 1732 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1733 | |
| 1734 | inputLayer->GetOutputSlot(0).Connect(rankLayer->GetInputSlot(0)); |
| 1735 | rankLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1736 | |
| 1737 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1738 | rankLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1739 | |
| 1740 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1741 | CHECK(deserializedNetwork); |
Finn Williams | 2605b23 | 2020-06-10 15:53:46 +0100 | [diff] [blame] | 1742 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1743 | LayerVerifierBase verifier(layerName, {inputInfo}, {outputInfo}); |
| 1744 | deserializedNetwork->ExecuteStrategy(verifier); |
Finn Williams | 2605b23 | 2020-06-10 15:53:46 +0100 | [diff] [blame] | 1745 | } |
| 1746 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1747 | TEST_CASE("SerializeReduceSum") |
Sadik Armagan | 0c3ea5b | 2021-02-03 09:29:30 +0000 | [diff] [blame] | 1748 | { |
Sadik Armagan | 0c3ea5b | 2021-02-03 09:29:30 +0000 | [diff] [blame] | 1749 | const std::string layerName("Reduce_Sum"); |
| 1750 | const armnn::TensorInfo inputInfo({1, 1, 3, 2}, armnn::DataType::Float32); |
| 1751 | const armnn::TensorInfo outputInfo({1, 1, 1, 2}, armnn::DataType::Float32); |
| 1752 | |
| 1753 | armnn::ReduceDescriptor descriptor; |
| 1754 | descriptor.m_vAxis = { 2 }; |
| 1755 | descriptor.m_ReduceOperation = armnn::ReduceOperation::Sum; |
| 1756 | |
| 1757 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1758 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1759 | armnn::IConnectableLayer* const reduceSumLayer = network->AddReduceLayer(descriptor, layerName.c_str()); |
| 1760 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1761 | |
| 1762 | inputLayer->GetOutputSlot(0).Connect(reduceSumLayer->GetInputSlot(0)); |
| 1763 | reduceSumLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1764 | |
| 1765 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1766 | reduceSumLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1767 | |
| 1768 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1769 | CHECK(deserializedNetwork); |
Sadik Armagan | 0c3ea5b | 2021-02-03 09:29:30 +0000 | [diff] [blame] | 1770 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1771 | LayerVerifierBaseWithDescriptor<armnn::ReduceDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, descriptor); |
| 1772 | deserializedNetwork->ExecuteStrategy(verifier); |
Sadik Armagan | 0c3ea5b | 2021-02-03 09:29:30 +0000 | [diff] [blame] | 1773 | } |
| 1774 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1775 | TEST_CASE("SerializeReshape") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1776 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1777 | const std::string layerName("reshape"); |
| 1778 | const armnn::TensorInfo inputInfo({1, 9}, armnn::DataType::Float32); |
| 1779 | const armnn::TensorInfo outputInfo({3, 3}, armnn::DataType::Float32); |
| 1780 | |
| 1781 | armnn::ReshapeDescriptor descriptor({3, 3}); |
| 1782 | |
| 1783 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1784 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1785 | armnn::IConnectableLayer* const reshapeLayer = network->AddReshapeLayer(descriptor, layerName.c_str()); |
| 1786 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1787 | |
| 1788 | inputLayer->GetOutputSlot(0).Connect(reshapeLayer->GetInputSlot(0)); |
| 1789 | reshapeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1790 | |
| 1791 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1792 | reshapeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1793 | |
| 1794 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1795 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1796 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1797 | LayerVerifierBaseWithDescriptor<armnn::ReshapeDescriptor> verifier( |
| 1798 | layerName, {inputInfo}, {outputInfo}, descriptor); |
| 1799 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1800 | } |
| 1801 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1802 | TEST_CASE("SerializeResize") |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 1803 | { |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 1804 | const std::string layerName("resize"); |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 1805 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({1, 3, 5, 5}, armnn::DataType::Float32); |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 1806 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({1, 3, 2, 4}, armnn::DataType::Float32); |
| 1807 | |
| 1808 | armnn::ResizeDescriptor desc; |
Aron Virginas-Tar | 169d2f1 | 2019-07-01 19:01:44 +0100 | [diff] [blame] | 1809 | desc.m_TargetWidth = 4; |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 1810 | desc.m_TargetHeight = 2; |
Aron Virginas-Tar | 169d2f1 | 2019-07-01 19:01:44 +0100 | [diff] [blame] | 1811 | desc.m_Method = armnn::ResizeMethod::NearestNeighbor; |
David Monahan | 4a0c9b9 | 2020-05-30 09:48:39 +0100 | [diff] [blame] | 1812 | desc.m_AlignCorners = true; |
| 1813 | desc.m_HalfPixelCenters = true; |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 1814 | |
| 1815 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1816 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1817 | armnn::IConnectableLayer* const resizeLayer = network->AddResizeLayer(desc, layerName.c_str()); |
| 1818 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1819 | |
| 1820 | inputLayer->GetOutputSlot(0).Connect(resizeLayer->GetInputSlot(0)); |
| 1821 | resizeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1822 | |
| 1823 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1824 | resizeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1825 | |
| 1826 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1827 | CHECK(deserializedNetwork); |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 1828 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1829 | LayerVerifierBaseWithDescriptor<armnn::ResizeDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, desc); |
| 1830 | deserializedNetwork->ExecuteStrategy(verifier); |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 1831 | } |
| 1832 | |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 1833 | class ResizeBilinearLayerVerifier : public LayerVerifierBaseWithDescriptor<armnn::ResizeBilinearDescriptor> |
| 1834 | { |
| 1835 | public: |
| 1836 | ResizeBilinearLayerVerifier(const std::string& layerName, |
| 1837 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 1838 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 1839 | const armnn::ResizeBilinearDescriptor& descriptor) |
| 1840 | : LayerVerifierBaseWithDescriptor<armnn::ResizeBilinearDescriptor>( |
| 1841 | layerName, inputInfos, outputInfos, descriptor) {} |
| 1842 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1843 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 1844 | const armnn::BaseDescriptor& descriptor, |
| 1845 | const std::vector<armnn::ConstTensor>& constants, |
| 1846 | const char* name, |
| 1847 | const armnn::LayerBindingId id = 0) override |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 1848 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1849 | armnn::IgnoreUnused(descriptor, constants, id); |
| 1850 | switch (layer->GetType()) |
| 1851 | { |
| 1852 | case armnn::LayerType::Input: break; |
| 1853 | case armnn::LayerType::Output: break; |
| 1854 | case armnn::LayerType::Resize: |
| 1855 | { |
| 1856 | VerifyNameAndConnections(layer, name); |
| 1857 | const armnn::ResizeDescriptor& layerDescriptor = |
| 1858 | static_cast<const armnn::ResizeDescriptor&>(descriptor); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1859 | CHECK(layerDescriptor.m_Method == armnn::ResizeMethod::Bilinear); |
| 1860 | CHECK(layerDescriptor.m_TargetWidth == m_Descriptor.m_TargetWidth); |
| 1861 | CHECK(layerDescriptor.m_TargetHeight == m_Descriptor.m_TargetHeight); |
| 1862 | CHECK(layerDescriptor.m_DataLayout == m_Descriptor.m_DataLayout); |
| 1863 | CHECK(layerDescriptor.m_AlignCorners == m_Descriptor.m_AlignCorners); |
| 1864 | CHECK(layerDescriptor.m_HalfPixelCenters == m_Descriptor.m_HalfPixelCenters); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1865 | break; |
| 1866 | } |
| 1867 | default: |
| 1868 | { |
| 1869 | throw armnn::Exception("Unexpected layer type in test model. ResizeBiliniar " |
| 1870 | "should have translated to Resize"); |
| 1871 | } |
| 1872 | } |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 1873 | } |
| 1874 | }; |
| 1875 | |
| 1876 | // NOTE: Until the deprecated AddResizeBilinearLayer disappears this test checks that |
| 1877 | // calling AddResizeBilinearLayer places a ResizeLayer into the serialized format |
| 1878 | // and that when this deserialises we have a ResizeLayer |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1879 | TEST_CASE("SerializeResizeBilinear") |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 1880 | { |
| 1881 | const std::string layerName("resizeBilinear"); |
| 1882 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({1, 3, 5, 5}, armnn::DataType::Float32); |
| 1883 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({1, 3, 2, 4}, armnn::DataType::Float32); |
| 1884 | |
| 1885 | armnn::ResizeBilinearDescriptor desc; |
| 1886 | desc.m_TargetWidth = 4u; |
| 1887 | desc.m_TargetHeight = 2u; |
David Monahan | 4a0c9b9 | 2020-05-30 09:48:39 +0100 | [diff] [blame] | 1888 | desc.m_AlignCorners = true; |
| 1889 | desc.m_HalfPixelCenters = true; |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 1890 | |
| 1891 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1892 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1893 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
| 1894 | armnn::IConnectableLayer* const resizeLayer = network->AddResizeBilinearLayer(desc, layerName.c_str()); |
| 1895 | ARMNN_NO_DEPRECATE_WARN_END |
| 1896 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1897 | |
| 1898 | inputLayer->GetOutputSlot(0).Connect(resizeLayer->GetInputSlot(0)); |
| 1899 | resizeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1900 | |
| 1901 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1902 | resizeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1903 | |
| 1904 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1905 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 1906 | |
| 1907 | ResizeBilinearLayerVerifier verifier(layerName, {inputInfo}, {outputInfo}, desc); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1908 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 1909 | } |
| 1910 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1911 | TEST_CASE("EnsureResizeBilinearBackwardCompatibility") |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 1912 | { |
| 1913 | // The hex data below is a flat buffer containing a simple network with an input, |
| 1914 | // a ResizeBilinearLayer (now deprecated) and an output |
| 1915 | // |
| 1916 | // This test verifies that we can still deserialize this old-style model by replacing |
| 1917 | // the ResizeBilinearLayer with an equivalent ResizeLayer |
| 1918 | const std::vector<uint8_t> resizeBilinearModel = |
| 1919 | { |
| 1920 | 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, |
| 1921 | 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 1922 | 0x50, 0x01, 0x00, 0x00, 0x74, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1923 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0xD4, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, |
| 1924 | 0x04, 0x00, 0x00, 0x00, 0xC2, 0xFE, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, |
| 1925 | 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x8A, 0xFF, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, |
| 1926 | 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1927 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1928 | 0x38, 0xFF, 0xFF, 0xFF, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x30, 0xFF, 0xFF, 0xFF, 0x00, 0x00, |
| 1929 | 0x00, 0x1A, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0E, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 1930 | 0x34, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x12, 0x00, 0x08, 0x00, 0x0C, 0x00, |
| 1931 | 0x07, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, |
| 1932 | 0x00, 0x00, 0x0E, 0x00, 0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x14, 0x00, 0x0E, 0x00, |
| 1933 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x19, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, |
| 1934 | 0x20, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x00, 0x00, 0x72, 0x65, 0x73, 0x69, 0x7A, 0x65, 0x42, 0x69, 0x6C, 0x69, |
| 1935 | 0x6E, 0x65, 0x61, 0x72, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x48, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, |
| 1936 | 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 1937 | 0x00, 0x00, 0x52, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1938 | 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 1939 | 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1940 | 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1941 | 0x00, 0x09, 0x04, 0x00, 0x00, 0x00, 0xF6, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, |
| 1942 | 0x0A, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x14, 0x00, |
| 1943 | 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x0E, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, |
| 1944 | 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1945 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0A, 0x00, |
| 1946 | 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, |
| 1947 | 0x08, 0x00, 0x07, 0x00, 0x0C, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, |
| 1948 | 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x05, 0x00, |
| 1949 | 0x00, 0x00, 0x05, 0x00, 0x00, 0x00 |
| 1950 | }; |
| 1951 | |
| 1952 | armnn::INetworkPtr deserializedNetwork = |
| 1953 | DeserializeNetwork(std::string(resizeBilinearModel.begin(), resizeBilinearModel.end())); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1954 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 1955 | |
| 1956 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({1, 3, 5, 5}, armnn::DataType::Float32); |
| 1957 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({1, 3, 2, 4}, armnn::DataType::Float32); |
| 1958 | |
| 1959 | armnn::ResizeBilinearDescriptor descriptor; |
| 1960 | descriptor.m_TargetWidth = 4u; |
| 1961 | descriptor.m_TargetHeight = 2u; |
| 1962 | |
| 1963 | ResizeBilinearLayerVerifier verifier("resizeBilinear", { inputInfo }, { outputInfo }, descriptor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1964 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 1965 | } |
| 1966 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1967 | TEST_CASE("SerializeSlice") |
Aron Virginas-Tar | 2fda80b | 2019-09-18 13:36:52 +0100 | [diff] [blame] | 1968 | { |
Aron Virginas-Tar | 2fda80b | 2019-09-18 13:36:52 +0100 | [diff] [blame] | 1969 | const std::string layerName{"slice"}; |
| 1970 | |
| 1971 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({3, 2, 3, 1}, armnn::DataType::Float32); |
| 1972 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({2, 2, 2, 1}, armnn::DataType::Float32); |
| 1973 | |
| 1974 | armnn::SliceDescriptor descriptor({ 0, 0, 1, 0}, {2, 2, 2, 1}); |
| 1975 | |
| 1976 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1977 | |
| 1978 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1979 | armnn::IConnectableLayer* const sliceLayer = network->AddSliceLayer(descriptor, layerName.c_str()); |
| 1980 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1981 | |
| 1982 | inputLayer->GetOutputSlot(0).Connect(sliceLayer->GetInputSlot(0)); |
| 1983 | sliceLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1984 | |
| 1985 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1986 | sliceLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1987 | |
| 1988 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1989 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | 2fda80b | 2019-09-18 13:36:52 +0100 | [diff] [blame] | 1990 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1991 | LayerVerifierBaseWithDescriptor<armnn::SliceDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, descriptor); |
| 1992 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | 2fda80b | 2019-09-18 13:36:52 +0100 | [diff] [blame] | 1993 | } |
| 1994 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1995 | TEST_CASE("SerializeSoftmax") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1996 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1997 | const std::string layerName("softmax"); |
| 1998 | const armnn::TensorInfo info({1, 10}, armnn::DataType::Float32); |
| 1999 | |
| 2000 | armnn::SoftmaxDescriptor descriptor; |
| 2001 | descriptor.m_Beta = 1.0f; |
| 2002 | |
| 2003 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2004 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2005 | armnn::IConnectableLayer* const softmaxLayer = network->AddSoftmaxLayer(descriptor, layerName.c_str()); |
| 2006 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2007 | |
| 2008 | inputLayer->GetOutputSlot(0).Connect(softmaxLayer->GetInputSlot(0)); |
| 2009 | softmaxLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2010 | |
| 2011 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2012 | softmaxLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2013 | |
| 2014 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2015 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2016 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2017 | LayerVerifierBaseWithDescriptor<armnn::SoftmaxDescriptor> verifier(layerName, {info}, {info}, descriptor); |
| 2018 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2019 | } |
| 2020 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2021 | TEST_CASE("SerializeSpaceToBatchNd") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2022 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2023 | const std::string layerName("spaceToBatchNd"); |
| 2024 | const armnn::TensorInfo inputInfo({2, 1, 2, 4}, armnn::DataType::Float32); |
| 2025 | const armnn::TensorInfo outputInfo({8, 1, 1, 3}, armnn::DataType::Float32); |
| 2026 | |
| 2027 | armnn::SpaceToBatchNdDescriptor desc; |
| 2028 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 2029 | desc.m_BlockShape = {2, 2}; |
| 2030 | desc.m_PadList = {{0, 0}, {2, 0}}; |
| 2031 | |
| 2032 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2033 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2034 | armnn::IConnectableLayer* const spaceToBatchNdLayer = network->AddSpaceToBatchNdLayer(desc, layerName.c_str()); |
| 2035 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2036 | |
| 2037 | inputLayer->GetOutputSlot(0).Connect(spaceToBatchNdLayer->GetInputSlot(0)); |
| 2038 | spaceToBatchNdLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2039 | |
| 2040 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2041 | spaceToBatchNdLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2042 | |
| 2043 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2044 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2045 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2046 | LayerVerifierBaseWithDescriptor<armnn::SpaceToBatchNdDescriptor> verifier( |
| 2047 | layerName, {inputInfo}, {outputInfo}, desc); |
| 2048 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2049 | } |
| 2050 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2051 | TEST_CASE("SerializeSpaceToDepth") |
Aron Virginas-Tar | aa06714 | 2019-06-11 16:01:44 +0100 | [diff] [blame] | 2052 | { |
Aron Virginas-Tar | aa06714 | 2019-06-11 16:01:44 +0100 | [diff] [blame] | 2053 | const std::string layerName("spaceToDepth"); |
| 2054 | |
| 2055 | const armnn::TensorInfo inputInfo ({ 1, 16, 8, 3 }, armnn::DataType::Float32); |
| 2056 | const armnn::TensorInfo outputInfo({ 1, 8, 4, 12 }, armnn::DataType::Float32); |
| 2057 | |
| 2058 | armnn::SpaceToDepthDescriptor desc; |
| 2059 | desc.m_BlockSize = 2; |
| 2060 | desc.m_DataLayout = armnn::DataLayout::NHWC; |
| 2061 | |
| 2062 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2063 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2064 | armnn::IConnectableLayer* const spaceToDepthLayer = network->AddSpaceToDepthLayer(desc, layerName.c_str()); |
| 2065 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2066 | |
| 2067 | inputLayer->GetOutputSlot(0).Connect(spaceToDepthLayer->GetInputSlot(0)); |
| 2068 | spaceToDepthLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2069 | |
| 2070 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2071 | spaceToDepthLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2072 | |
| 2073 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2074 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | aa06714 | 2019-06-11 16:01:44 +0100 | [diff] [blame] | 2075 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2076 | LayerVerifierBaseWithDescriptor<armnn::SpaceToDepthDescriptor> verifier( |
| 2077 | layerName, {inputInfo}, {outputInfo}, desc); |
| 2078 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | aa06714 | 2019-06-11 16:01:44 +0100 | [diff] [blame] | 2079 | } |
| 2080 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2081 | TEST_CASE("SerializeSplitter") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2082 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2083 | const unsigned int numViews = 3; |
| 2084 | const unsigned int numDimensions = 4; |
| 2085 | const unsigned int inputShape[] = {1, 18, 4, 4}; |
| 2086 | const unsigned int outputShape[] = {1, 6, 4, 4}; |
| 2087 | |
| 2088 | // This is modelled on how the caffe parser sets up a splitter layer to partition an input along dimension one. |
| 2089 | unsigned int splitterDimSizes[4] = {static_cast<unsigned int>(inputShape[0]), |
| 2090 | static_cast<unsigned int>(inputShape[1]), |
| 2091 | static_cast<unsigned int>(inputShape[2]), |
| 2092 | static_cast<unsigned int>(inputShape[3])}; |
| 2093 | splitterDimSizes[1] /= numViews; |
| 2094 | armnn::ViewsDescriptor desc(numViews, numDimensions); |
| 2095 | |
| 2096 | for (unsigned int g = 0; g < numViews; ++g) |
| 2097 | { |
| 2098 | desc.SetViewOriginCoord(g, 1, splitterDimSizes[1] * g); |
| 2099 | |
| 2100 | for (unsigned int dimIdx=0; dimIdx < 4; dimIdx++) |
| 2101 | { |
| 2102 | desc.SetViewSize(g, dimIdx, splitterDimSizes[dimIdx]); |
| 2103 | } |
| 2104 | } |
| 2105 | |
| 2106 | const std::string layerName("splitter"); |
| 2107 | const armnn::TensorInfo inputInfo(numDimensions, inputShape, armnn::DataType::Float32); |
| 2108 | const armnn::TensorInfo outputInfo(numDimensions, outputShape, armnn::DataType::Float32); |
| 2109 | |
| 2110 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2111 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2112 | armnn::IConnectableLayer* const splitterLayer = network->AddSplitterLayer(desc, layerName.c_str()); |
| 2113 | armnn::IConnectableLayer* const outputLayer0 = network->AddOutputLayer(0); |
| 2114 | armnn::IConnectableLayer* const outputLayer1 = network->AddOutputLayer(1); |
| 2115 | armnn::IConnectableLayer* const outputLayer2 = network->AddOutputLayer(2); |
| 2116 | |
| 2117 | inputLayer->GetOutputSlot(0).Connect(splitterLayer->GetInputSlot(0)); |
| 2118 | splitterLayer->GetOutputSlot(0).Connect(outputLayer0->GetInputSlot(0)); |
| 2119 | splitterLayer->GetOutputSlot(1).Connect(outputLayer1->GetInputSlot(0)); |
| 2120 | splitterLayer->GetOutputSlot(2).Connect(outputLayer2->GetInputSlot(0)); |
| 2121 | |
| 2122 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2123 | splitterLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2124 | splitterLayer->GetOutputSlot(1).SetTensorInfo(outputInfo); |
| 2125 | splitterLayer->GetOutputSlot(2).SetTensorInfo(outputInfo); |
| 2126 | |
| 2127 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2128 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2129 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2130 | LayerVerifierBaseWithDescriptor<armnn::ViewsDescriptor> verifier( |
| 2131 | layerName, {inputInfo}, {outputInfo, outputInfo, outputInfo}, desc); |
| 2132 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2133 | } |
| 2134 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2135 | TEST_CASE("SerializeStack") |
Matthew Jackson | b5433ee | 2019-07-11 15:54:20 +0100 | [diff] [blame] | 2136 | { |
Matthew Jackson | b5433ee | 2019-07-11 15:54:20 +0100 | [diff] [blame] | 2137 | const std::string layerName("stack"); |
| 2138 | |
| 2139 | armnn::TensorInfo inputTensorInfo ({4, 3, 5}, armnn::DataType::Float32); |
| 2140 | armnn::TensorInfo outputTensorInfo({4, 3, 2, 5}, armnn::DataType::Float32); |
| 2141 | |
| 2142 | armnn::StackDescriptor descriptor(2, 2, {4, 3, 5}); |
| 2143 | |
| 2144 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2145 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(0); |
| 2146 | armnn::IConnectableLayer* const inputLayer2 = network->AddInputLayer(1); |
| 2147 | armnn::IConnectableLayer* const stackLayer = network->AddStackLayer(descriptor, layerName.c_str()); |
| 2148 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2149 | |
| 2150 | inputLayer1->GetOutputSlot(0).Connect(stackLayer->GetInputSlot(0)); |
| 2151 | inputLayer2->GetOutputSlot(0).Connect(stackLayer->GetInputSlot(1)); |
| 2152 | stackLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2153 | |
| 2154 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 2155 | inputLayer2->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 2156 | stackLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 2157 | |
| 2158 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2159 | CHECK(deserializedNetwork); |
Matthew Jackson | b5433ee | 2019-07-11 15:54:20 +0100 | [diff] [blame] | 2160 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2161 | LayerVerifierBaseWithDescriptor<armnn::StackDescriptor> verifier( |
| 2162 | layerName, {inputTensorInfo, inputTensorInfo}, {outputTensorInfo}, descriptor); |
| 2163 | deserializedNetwork->ExecuteStrategy(verifier); |
Matthew Jackson | b5433ee | 2019-07-11 15:54:20 +0100 | [diff] [blame] | 2164 | } |
| 2165 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2166 | TEST_CASE("SerializeStandIn") |
Aron Virginas-Tar | 85121a2 | 2019-10-23 10:41:35 +0100 | [diff] [blame] | 2167 | { |
Aron Virginas-Tar | 85121a2 | 2019-10-23 10:41:35 +0100 | [diff] [blame] | 2168 | const std::string layerName("standIn"); |
| 2169 | |
| 2170 | armnn::TensorInfo tensorInfo({ 1u }, armnn::DataType::Float32); |
| 2171 | armnn::StandInDescriptor descriptor(2u, 2u); |
| 2172 | |
| 2173 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2174 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 2175 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 2176 | armnn::IConnectableLayer* const standInLayer = network->AddStandInLayer(descriptor, layerName.c_str()); |
| 2177 | armnn::IConnectableLayer* const outputLayer0 = network->AddOutputLayer(0); |
| 2178 | armnn::IConnectableLayer* const outputLayer1 = network->AddOutputLayer(1); |
| 2179 | |
| 2180 | inputLayer0->GetOutputSlot(0).Connect(standInLayer->GetInputSlot(0)); |
| 2181 | inputLayer0->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 2182 | |
| 2183 | inputLayer1->GetOutputSlot(0).Connect(standInLayer->GetInputSlot(1)); |
| 2184 | inputLayer1->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 2185 | |
| 2186 | standInLayer->GetOutputSlot(0).Connect(outputLayer0->GetInputSlot(0)); |
| 2187 | standInLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 2188 | |
| 2189 | standInLayer->GetOutputSlot(1).Connect(outputLayer1->GetInputSlot(0)); |
| 2190 | standInLayer->GetOutputSlot(1).SetTensorInfo(tensorInfo); |
| 2191 | |
| 2192 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2193 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | 85121a2 | 2019-10-23 10:41:35 +0100 | [diff] [blame] | 2194 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2195 | LayerVerifierBaseWithDescriptor<armnn::StandInDescriptor> verifier( |
| 2196 | layerName, { tensorInfo, tensorInfo }, { tensorInfo, tensorInfo }, descriptor); |
| 2197 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | 85121a2 | 2019-10-23 10:41:35 +0100 | [diff] [blame] | 2198 | } |
| 2199 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2200 | TEST_CASE("SerializeStridedSlice") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2201 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2202 | const std::string layerName("stridedSlice"); |
| 2203 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({3, 2, 3, 1}, armnn::DataType::Float32); |
| 2204 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({3, 1}, armnn::DataType::Float32); |
| 2205 | |
| 2206 | armnn::StridedSliceDescriptor desc({0, 0, 1, 0}, {1, 1, 1, 1}, {1, 1, 1, 1}); |
| 2207 | desc.m_EndMask = (1 << 4) - 1; |
| 2208 | desc.m_ShrinkAxisMask = (1 << 1) | (1 << 2); |
| 2209 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 2210 | |
| 2211 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2212 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2213 | armnn::IConnectableLayer* const stridedSliceLayer = network->AddStridedSliceLayer(desc, layerName.c_str()); |
| 2214 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2215 | |
| 2216 | inputLayer->GetOutputSlot(0).Connect(stridedSliceLayer->GetInputSlot(0)); |
| 2217 | stridedSliceLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2218 | |
| 2219 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2220 | stridedSliceLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2221 | |
| 2222 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2223 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2224 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2225 | LayerVerifierBaseWithDescriptor<armnn::StridedSliceDescriptor> verifier( |
| 2226 | layerName, {inputInfo}, {outputInfo}, desc); |
| 2227 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2228 | } |
| 2229 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2230 | TEST_CASE("SerializeSubtraction") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2231 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2232 | const std::string layerName("subtraction"); |
| 2233 | const armnn::TensorInfo info({ 1, 4 }, armnn::DataType::Float32); |
| 2234 | |
| 2235 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2236 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 2237 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 2238 | armnn::IConnectableLayer* const subtractionLayer = network->AddSubtractionLayer(layerName.c_str()); |
| 2239 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2240 | |
| 2241 | inputLayer0->GetOutputSlot(0).Connect(subtractionLayer->GetInputSlot(0)); |
| 2242 | inputLayer1->GetOutputSlot(0).Connect(subtractionLayer->GetInputSlot(1)); |
| 2243 | subtractionLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2244 | |
| 2245 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 2246 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 2247 | subtractionLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2248 | |
| 2249 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2250 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2251 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2252 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 2253 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 2254 | } |
| 2255 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2256 | TEST_CASE("SerializeSwitch") |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2257 | { |
| 2258 | class SwitchLayerVerifier : public LayerVerifierBase |
| 2259 | { |
| 2260 | public: |
| 2261 | SwitchLayerVerifier(const std::string& layerName, |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 2262 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 2263 | const std::vector<armnn::TensorInfo>& outputInfos) |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2264 | : LayerVerifierBase(layerName, inputInfos, outputInfos) {} |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2265 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2266 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 2267 | const armnn::BaseDescriptor& descriptor, |
| 2268 | const std::vector<armnn::ConstTensor>& constants, |
| 2269 | const char* name, |
| 2270 | const armnn::LayerBindingId id = 0) override |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2271 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2272 | armnn::IgnoreUnused(descriptor, constants, id); |
| 2273 | switch (layer->GetType()) |
| 2274 | { |
| 2275 | case armnn::LayerType::Input: break; |
| 2276 | case armnn::LayerType::Output: break; |
| 2277 | case armnn::LayerType::Constant: break; |
| 2278 | case armnn::LayerType::Switch: |
| 2279 | { |
| 2280 | VerifyNameAndConnections(layer, name); |
| 2281 | break; |
| 2282 | } |
| 2283 | default: |
| 2284 | { |
| 2285 | throw armnn::Exception("Unexpected layer type in Switch test model"); |
| 2286 | } |
| 2287 | } |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2288 | } |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2289 | }; |
| 2290 | |
| 2291 | const std::string layerName("switch"); |
| 2292 | const armnn::TensorInfo info({ 1, 4 }, armnn::DataType::Float32); |
| 2293 | |
| 2294 | std::vector<float> constantData = GenerateRandomData<float>(info.GetNumElements()); |
| 2295 | armnn::ConstTensor constTensor(info, constantData); |
| 2296 | |
| 2297 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2298 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2299 | armnn::IConnectableLayer* const constantLayer = network->AddConstantLayer(constTensor, "constant"); |
| 2300 | armnn::IConnectableLayer* const switchLayer = network->AddSwitchLayer(layerName.c_str()); |
| 2301 | armnn::IConnectableLayer* const trueOutputLayer = network->AddOutputLayer(0); |
| 2302 | armnn::IConnectableLayer* const falseOutputLayer = network->AddOutputLayer(1); |
| 2303 | |
| 2304 | inputLayer->GetOutputSlot(0).Connect(switchLayer->GetInputSlot(0)); |
| 2305 | constantLayer->GetOutputSlot(0).Connect(switchLayer->GetInputSlot(1)); |
| 2306 | switchLayer->GetOutputSlot(0).Connect(trueOutputLayer->GetInputSlot(0)); |
| 2307 | switchLayer->GetOutputSlot(1).Connect(falseOutputLayer->GetInputSlot(0)); |
| 2308 | |
| 2309 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2310 | constantLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2311 | switchLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2312 | switchLayer->GetOutputSlot(1).SetTensorInfo(info); |
| 2313 | |
| 2314 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2315 | CHECK(deserializedNetwork); |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2316 | |
| 2317 | SwitchLayerVerifier verifier(layerName, {info, info}, {info, info}); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2318 | deserializedNetwork->ExecuteStrategy(verifier); |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2319 | } |
| 2320 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2321 | TEST_CASE("SerializeTranspose") |
Mike Kelly | c9ea45a | 2020-02-28 18:11:58 +0000 | [diff] [blame] | 2322 | { |
Mike Kelly | c9ea45a | 2020-02-28 18:11:58 +0000 | [diff] [blame] | 2323 | const std::string layerName("transpose"); |
| 2324 | const armnn::TensorInfo inputTensorInfo({4, 3, 2, 1}, armnn::DataType::Float32); |
| 2325 | const armnn::TensorInfo outputTensorInfo({1, 2, 3, 4}, armnn::DataType::Float32); |
| 2326 | |
| 2327 | armnn::TransposeDescriptor descriptor(armnn::PermutationVector({3, 2, 1, 0})); |
| 2328 | |
| 2329 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2330 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2331 | armnn::IConnectableLayer* const transposeLayer = network->AddTransposeLayer(descriptor, layerName.c_str()); |
| 2332 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2333 | |
| 2334 | inputLayer->GetOutputSlot(0).Connect(transposeLayer->GetInputSlot(0)); |
| 2335 | transposeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2336 | |
| 2337 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 2338 | transposeLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 2339 | |
| 2340 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2341 | CHECK(deserializedNetwork); |
Mike Kelly | c9ea45a | 2020-02-28 18:11:58 +0000 | [diff] [blame] | 2342 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2343 | LayerVerifierBaseWithDescriptor<armnn::TransposeDescriptor> verifier( |
| 2344 | layerName, {inputTensorInfo}, {outputTensorInfo}, descriptor); |
| 2345 | deserializedNetwork->ExecuteStrategy(verifier); |
Mike Kelly | c9ea45a | 2020-02-28 18:11:58 +0000 | [diff] [blame] | 2346 | } |
| 2347 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2348 | TEST_CASE("SerializeTransposeConvolution2d") |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2349 | { |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2350 | const std::string layerName("transposeConvolution2d"); |
| 2351 | const armnn::TensorInfo inputInfo ({ 1, 7, 7, 1 }, armnn::DataType::Float32); |
| 2352 | const armnn::TensorInfo outputInfo({ 1, 9, 9, 1 }, armnn::DataType::Float32); |
| 2353 | |
| 2354 | const armnn::TensorInfo weightsInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
| 2355 | const armnn::TensorInfo biasesInfo ({ 1 }, armnn::DataType::Float32); |
| 2356 | |
| 2357 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 2358 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 2359 | |
| 2360 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 2361 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 2362 | |
| 2363 | armnn::TransposeConvolution2dDescriptor descriptor; |
| 2364 | descriptor.m_PadLeft = 1; |
| 2365 | descriptor.m_PadRight = 1; |
| 2366 | descriptor.m_PadTop = 1; |
| 2367 | descriptor.m_PadBottom = 1; |
| 2368 | descriptor.m_StrideX = 1; |
| 2369 | descriptor.m_StrideY = 1; |
| 2370 | descriptor.m_BiasEnabled = true; |
| 2371 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 2372 | |
| 2373 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2374 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2375 | armnn::IConnectableLayer* const convLayer = |
| 2376 | network->AddTransposeConvolution2dLayer(descriptor, |
| 2377 | weights, |
| 2378 | armnn::Optional<armnn::ConstTensor>(biases), |
| 2379 | layerName.c_str()); |
| 2380 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2381 | |
| 2382 | inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0)); |
| 2383 | convLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2384 | |
| 2385 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2386 | convLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2387 | |
| 2388 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2389 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2390 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2391 | const std::vector<armnn::ConstTensor> constants {weights, biases}; |
| 2392 | LayerVerifierBaseWithDescriptorAndConstants<armnn::TransposeConvolution2dDescriptor> verifier( |
| 2393 | layerName, {inputInfo}, {outputInfo}, descriptor, constants); |
| 2394 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2395 | } |
| 2396 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2397 | TEST_CASE("SerializeDeserializeNonLinearNetwork") |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2398 | { |
| 2399 | class ConstantLayerVerifier : public LayerVerifierBase |
| 2400 | { |
| 2401 | public: |
| 2402 | ConstantLayerVerifier(const std::string& layerName, |
| 2403 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 2404 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 2405 | const armnn::ConstTensor& layerInput) |
| 2406 | : LayerVerifierBase(layerName, inputInfos, outputInfos) |
| 2407 | , m_LayerInput(layerInput) {} |
| 2408 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2409 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 2410 | const armnn::BaseDescriptor& descriptor, |
| 2411 | const std::vector<armnn::ConstTensor>& constants, |
| 2412 | const char* name, |
| 2413 | const armnn::LayerBindingId id = 0) override |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2414 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2415 | armnn::IgnoreUnused(descriptor, constants, id); |
| 2416 | switch (layer->GetType()) |
| 2417 | { |
| 2418 | case armnn::LayerType::Input: break; |
| 2419 | case armnn::LayerType::Output: break; |
| 2420 | case armnn::LayerType::Addition: break; |
| 2421 | case armnn::LayerType::Constant: |
| 2422 | { |
| 2423 | VerifyNameAndConnections(layer, name); |
| 2424 | CompareConstTensor(constants.at(0), m_LayerInput); |
| 2425 | break; |
| 2426 | } |
| 2427 | default: |
| 2428 | { |
| 2429 | throw armnn::Exception("Unexpected layer type in test model"); |
| 2430 | } |
| 2431 | } |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2432 | } |
| 2433 | |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2434 | private: |
| 2435 | armnn::ConstTensor m_LayerInput; |
| 2436 | }; |
| 2437 | |
| 2438 | const std::string layerName("constant"); |
| 2439 | const armnn::TensorInfo info({ 2, 3 }, armnn::DataType::Float32); |
| 2440 | |
| 2441 | std::vector<float> constantData = GenerateRandomData<float>(info.GetNumElements()); |
| 2442 | armnn::ConstTensor constTensor(info, constantData); |
| 2443 | |
| 2444 | armnn::INetworkPtr network(armnn::INetwork::Create()); |
| 2445 | armnn::IConnectableLayer* input = network->AddInputLayer(0); |
| 2446 | armnn::IConnectableLayer* add = network->AddAdditionLayer(); |
| 2447 | armnn::IConnectableLayer* constant = network->AddConstantLayer(constTensor, layerName.c_str()); |
| 2448 | armnn::IConnectableLayer* output = network->AddOutputLayer(0); |
| 2449 | |
| 2450 | input->GetOutputSlot(0).Connect(add->GetInputSlot(0)); |
| 2451 | constant->GetOutputSlot(0).Connect(add->GetInputSlot(1)); |
| 2452 | add->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| 2453 | |
| 2454 | input->GetOutputSlot(0).SetTensorInfo(info); |
| 2455 | constant->GetOutputSlot(0).SetTensorInfo(info); |
| 2456 | add->GetOutputSlot(0).SetTensorInfo(info); |
| 2457 | |
| 2458 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2459 | CHECK(deserializedNetwork); |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2460 | |
| 2461 | ConstantLayerVerifier verifier(layerName, {}, {info}, constTensor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2462 | deserializedNetwork->ExecuteStrategy(verifier); |
James Conroy | 8d33318 | 2020-05-13 10:27:58 +0100 | [diff] [blame] | 2463 | } |
| 2464 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2465 | } |