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 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 26 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 27 | TEST_CASE("SerializeAddition") |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 28 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 29 | const std::string layerName("addition"); |
| 30 | const armnn::TensorInfo tensorInfo({1, 2, 3}, armnn::DataType::Float32); |
| 31 | |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 32 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 33 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 34 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 35 | armnn::IConnectableLayer* const additionLayer = network->AddAdditionLayer(layerName.c_str()); |
| 36 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 37 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 38 | inputLayer0->GetOutputSlot(0).Connect(additionLayer->GetInputSlot(0)); |
| 39 | inputLayer1->GetOutputSlot(0).Connect(additionLayer->GetInputSlot(1)); |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 40 | additionLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 41 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 42 | inputLayer0->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 43 | inputLayer1->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 44 | additionLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
Jim Flynn | 3091b06 | 2019-02-15 14:45:04 +0000 | [diff] [blame] | 45 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 46 | std::string serializedNetwork = SerializeNetwork(*network); |
| 47 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(serializedNetwork); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 48 | CHECK(deserializedNetwork); |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 49 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 50 | LayerVerifierBase verifier(layerName, {tensorInfo, tensorInfo}, {tensorInfo}); |
| 51 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 52 | } |
Jim Flynn | ac25a1b | 2019-02-28 10:40:49 +0000 | [diff] [blame] | 53 | |
Mike Kelly | 1f140f7 | 2021-04-06 12:25:55 +0100 | [diff] [blame] | 54 | void SerializeArgMinMaxTest(armnn::DataType dataType) |
Narumol Prangnawarat | 0cfcf23 | 2019-09-09 17:16:24 +0100 | [diff] [blame] | 55 | { |
Narumol Prangnawarat | 0cfcf23 | 2019-09-09 17:16:24 +0100 | [diff] [blame] | 56 | const std::string layerName("argminmax"); |
| 57 | const armnn::TensorInfo inputInfo({1, 2, 3}, armnn::DataType::Float32); |
Mike Kelly | 1f140f7 | 2021-04-06 12:25:55 +0100 | [diff] [blame] | 58 | const armnn::TensorInfo outputInfo({1, 3}, dataType); |
Narumol Prangnawarat | 0cfcf23 | 2019-09-09 17:16:24 +0100 | [diff] [blame] | 59 | |
| 60 | armnn::ArgMinMaxDescriptor descriptor; |
| 61 | descriptor.m_Function = armnn::ArgMinMaxFunction::Max; |
| 62 | descriptor.m_Axis = 1; |
| 63 | |
| 64 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 65 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 66 | armnn::IConnectableLayer* const argMinMaxLayer = network->AddArgMinMaxLayer(descriptor, layerName.c_str()); |
| 67 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 68 | |
| 69 | inputLayer->GetOutputSlot(0).Connect(argMinMaxLayer->GetInputSlot(0)); |
| 70 | argMinMaxLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 71 | |
| 72 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 73 | argMinMaxLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 74 | |
| 75 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 76 | CHECK(deserializedNetwork); |
Narumol Prangnawarat | 0cfcf23 | 2019-09-09 17:16:24 +0100 | [diff] [blame] | 77 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 78 | LayerVerifierBaseWithDescriptor<armnn::ArgMinMaxDescriptor> verifier(layerName, |
| 79 | {inputInfo}, |
| 80 | {outputInfo}, |
| 81 | descriptor); |
| 82 | deserializedNetwork->ExecuteStrategy(verifier); |
Narumol Prangnawarat | 0cfcf23 | 2019-09-09 17:16:24 +0100 | [diff] [blame] | 83 | } |
| 84 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 85 | TEST_CASE("SerializeArgMinMaxSigned32") |
Mike Kelly | 1f140f7 | 2021-04-06 12:25:55 +0100 | [diff] [blame] | 86 | { |
| 87 | SerializeArgMinMaxTest(armnn::DataType::Signed32); |
| 88 | } |
| 89 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 90 | TEST_CASE("SerializeArgMinMaxSigned64") |
Mike Kelly | 1f140f7 | 2021-04-06 12:25:55 +0100 | [diff] [blame] | 91 | { |
| 92 | SerializeArgMinMaxTest(armnn::DataType::Signed64); |
| 93 | } |
| 94 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 95 | TEST_CASE("SerializeBatchNormalization") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 96 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 97 | const std::string layerName("batchNormalization"); |
| 98 | const armnn::TensorInfo inputInfo ({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
| 99 | const armnn::TensorInfo outputInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
| 100 | |
| 101 | const armnn::TensorInfo meanInfo({1}, armnn::DataType::Float32); |
| 102 | const armnn::TensorInfo varianceInfo({1}, armnn::DataType::Float32); |
| 103 | const armnn::TensorInfo betaInfo({1}, armnn::DataType::Float32); |
| 104 | const armnn::TensorInfo gammaInfo({1}, armnn::DataType::Float32); |
| 105 | |
| 106 | armnn::BatchNormalizationDescriptor descriptor; |
| 107 | descriptor.m_Eps = 0.0010000000475f; |
| 108 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 109 | |
| 110 | std::vector<float> meanData({5.0}); |
| 111 | std::vector<float> varianceData({2.0}); |
| 112 | std::vector<float> betaData({1.0}); |
| 113 | std::vector<float> gammaData({0.0}); |
| 114 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 115 | std::vector<armnn::ConstTensor> constants; |
| 116 | constants.emplace_back(armnn::ConstTensor(meanInfo, meanData)); |
| 117 | constants.emplace_back(armnn::ConstTensor(varianceInfo, varianceData)); |
| 118 | constants.emplace_back(armnn::ConstTensor(betaInfo, betaData)); |
| 119 | constants.emplace_back(armnn::ConstTensor(gammaInfo, gammaData)); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 120 | |
| 121 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 122 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 123 | armnn::IConnectableLayer* const batchNormalizationLayer = |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 124 | network->AddBatchNormalizationLayer(descriptor, |
| 125 | constants[0], |
| 126 | constants[1], |
| 127 | constants[2], |
| 128 | constants[3], |
| 129 | layerName.c_str()); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 130 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 131 | |
| 132 | inputLayer->GetOutputSlot(0).Connect(batchNormalizationLayer->GetInputSlot(0)); |
| 133 | batchNormalizationLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 134 | |
| 135 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 136 | batchNormalizationLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 137 | |
| 138 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 139 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 140 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 141 | LayerVerifierBaseWithDescriptorAndConstants<armnn::BatchNormalizationDescriptor> verifier( |
| 142 | layerName, {inputInfo}, {outputInfo}, descriptor, constants); |
| 143 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 144 | } |
| 145 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 146 | TEST_CASE("SerializeBatchToSpaceNd") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 147 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 148 | const std::string layerName("spaceToBatchNd"); |
| 149 | const armnn::TensorInfo inputInfo({4, 1, 2, 2}, armnn::DataType::Float32); |
| 150 | const armnn::TensorInfo outputInfo({1, 1, 4, 4}, armnn::DataType::Float32); |
| 151 | |
| 152 | armnn::BatchToSpaceNdDescriptor desc; |
| 153 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 154 | desc.m_BlockShape = {2, 2}; |
| 155 | desc.m_Crops = {{0, 0}, {0, 0}}; |
| 156 | |
| 157 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 158 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 159 | armnn::IConnectableLayer* const batchToSpaceNdLayer = network->AddBatchToSpaceNdLayer(desc, layerName.c_str()); |
| 160 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 161 | |
| 162 | inputLayer->GetOutputSlot(0).Connect(batchToSpaceNdLayer->GetInputSlot(0)); |
| 163 | batchToSpaceNdLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 164 | |
| 165 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 166 | batchToSpaceNdLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 167 | |
| 168 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 169 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 170 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 171 | LayerVerifierBaseWithDescriptor<armnn::BatchToSpaceNdDescriptor> verifier(layerName, |
| 172 | {inputInfo}, |
| 173 | {outputInfo}, |
| 174 | desc); |
| 175 | deserializedNetwork->ExecuteStrategy(verifier); |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 176 | } |
| 177 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 178 | TEST_CASE("SerializeCast") |
mathad01 | b392e98 | 2021-04-07 12:07:30 +0100 | [diff] [blame] | 179 | { |
| 180 | const std::string layerName("cast"); |
| 181 | |
| 182 | const armnn::TensorShape shape{1, 5, 2, 3}; |
| 183 | |
| 184 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Signed32); |
| 185 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Float32); |
| 186 | |
| 187 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 188 | armnn::IConnectableLayer* inputLayer = network->AddInputLayer(0); |
| 189 | armnn::IConnectableLayer* castLayer = network->AddCastLayer(layerName.c_str()); |
| 190 | armnn::IConnectableLayer* outputLayer = network->AddOutputLayer(0); |
| 191 | |
| 192 | inputLayer->GetOutputSlot(0).Connect(castLayer->GetInputSlot(0)); |
| 193 | castLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 194 | |
| 195 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 196 | castLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 197 | |
| 198 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 199 | CHECK(deserializedNetwork); |
mathad01 | b392e98 | 2021-04-07 12:07:30 +0100 | [diff] [blame] | 200 | |
| 201 | LayerVerifierBase verifier(layerName, {inputInfo}, {outputInfo}); |
| 202 | deserializedNetwork->ExecuteStrategy(verifier); |
| 203 | } |
| 204 | |
Simon Obute | 51f6777 | 2021-09-03 15:50:13 +0100 | [diff] [blame] | 205 | TEST_CASE("SerializeChannelShuffle") |
| 206 | { |
| 207 | const std::string layerName("channelShuffle"); |
| 208 | const armnn::TensorInfo inputInfo({1, 9}, armnn::DataType::Float32); |
| 209 | const armnn::TensorInfo outputInfo({1, 9}, armnn::DataType::Float32); |
| 210 | |
| 211 | armnn::ChannelShuffleDescriptor descriptor({3, 1}); |
| 212 | |
| 213 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 214 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 215 | armnn::IConnectableLayer* const ChannelShuffleLayer = |
| 216 | network->AddChannelShuffleLayer(descriptor, layerName.c_str()); |
| 217 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 218 | |
| 219 | inputLayer->GetOutputSlot(0).Connect(ChannelShuffleLayer->GetInputSlot(0)); |
| 220 | ChannelShuffleLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 221 | |
| 222 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 223 | ChannelShuffleLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 224 | |
| 225 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 226 | CHECK(deserializedNetwork); |
| 227 | |
| 228 | LayerVerifierBaseWithDescriptor<armnn::ChannelShuffleDescriptor> verifier( |
| 229 | layerName, {inputInfo}, {outputInfo}, descriptor); |
| 230 | deserializedNetwork->ExecuteStrategy(verifier); |
| 231 | } |
| 232 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 233 | TEST_CASE("SerializeComparison") |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 234 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 235 | const std::string layerName("comparison"); |
| 236 | |
| 237 | const armnn::TensorShape shape{2, 1, 2, 4}; |
| 238 | |
| 239 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Float32); |
| 240 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Boolean); |
| 241 | |
| 242 | armnn::ComparisonDescriptor descriptor(armnn::ComparisonOperation::NotEqual); |
| 243 | |
| 244 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 245 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 246 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 247 | armnn::IConnectableLayer* const comparisonLayer = network->AddComparisonLayer(descriptor, layerName.c_str()); |
| 248 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 249 | |
| 250 | inputLayer0->GetOutputSlot(0).Connect(comparisonLayer->GetInputSlot(0)); |
| 251 | inputLayer1->GetOutputSlot(0).Connect(comparisonLayer->GetInputSlot(1)); |
| 252 | comparisonLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 253 | |
| 254 | inputLayer0->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 255 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 256 | comparisonLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 257 | |
| 258 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 259 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 260 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 261 | LayerVerifierBaseWithDescriptor<armnn::ComparisonDescriptor> verifier(layerName, |
| 262 | { inputInfo, inputInfo }, |
| 263 | { outputInfo }, |
| 264 | descriptor); |
| 265 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 266 | } |
| 267 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 268 | TEST_CASE("SerializeConstant") |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 269 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 270 | class ConstantLayerVerifier : public LayerVerifierBase |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 271 | { |
| 272 | public: |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 273 | ConstantLayerVerifier(const std::string& layerName, |
| 274 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 275 | const std::vector<armnn::TensorInfo>& outputInfos, |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 276 | const std::vector<armnn::ConstTensor>& constants) |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 277 | : LayerVerifierBase(layerName, inputInfos, outputInfos) |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 278 | , m_Constants(constants) {} |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 279 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 280 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 281 | const armnn::BaseDescriptor& descriptor, |
| 282 | const std::vector<armnn::ConstTensor>& constants, |
| 283 | const char* name, |
| 284 | const armnn::LayerBindingId id = 0) override |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 285 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 286 | armnn::IgnoreUnused(descriptor, id); |
| 287 | |
| 288 | switch (layer->GetType()) |
| 289 | { |
| 290 | case armnn::LayerType::Input: break; |
| 291 | case armnn::LayerType::Output: break; |
| 292 | case armnn::LayerType::Addition: break; |
| 293 | default: |
| 294 | { |
| 295 | this->VerifyNameAndConnections(layer, name); |
| 296 | |
| 297 | for (std::size_t i = 0; i < constants.size(); i++) |
| 298 | { |
| 299 | CompareConstTensor(constants[i], m_Constants[i]); |
| 300 | } |
| 301 | } |
| 302 | } |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 303 | } |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 304 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 305 | private: |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 306 | const std::vector<armnn::ConstTensor> m_Constants; |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 307 | }; |
| 308 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 309 | const std::string layerName("constant"); |
| 310 | const armnn::TensorInfo info({ 2, 3 }, armnn::DataType::Float32); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 311 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 312 | std::vector<float> constantData = GenerateRandomData<float>(info.GetNumElements()); |
| 313 | armnn::ConstTensor constTensor(info, constantData); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 314 | |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 315 | armnn::INetworkPtr network(armnn::INetwork::Create()); |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 316 | armnn::IConnectableLayer* input = network->AddInputLayer(0); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 317 | armnn::IConnectableLayer* constant = network->AddConstantLayer(constTensor, layerName.c_str()); |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 318 | armnn::IConnectableLayer* add = network->AddAdditionLayer(); |
| 319 | armnn::IConnectableLayer* output = network->AddOutputLayer(0); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 320 | |
| 321 | input->GetOutputSlot(0).Connect(add->GetInputSlot(0)); |
| 322 | constant->GetOutputSlot(0).Connect(add->GetInputSlot(1)); |
| 323 | add->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| 324 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 325 | input->GetOutputSlot(0).SetTensorInfo(info); |
| 326 | constant->GetOutputSlot(0).SetTensorInfo(info); |
| 327 | add->GetOutputSlot(0).SetTensorInfo(info); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 328 | |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 329 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 330 | CHECK(deserializedNetwork); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 331 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 332 | ConstantLayerVerifier verifier(layerName, {}, {info}, {constTensor}); |
| 333 | deserializedNetwork->ExecuteStrategy(verifier); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 334 | } |
| 335 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 336 | TEST_CASE("SerializeConvolution2d") |
Finn Williams | dd2ba7e | 2019-03-01 11:51:52 +0000 | [diff] [blame] | 337 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 338 | const std::string layerName("convolution2d"); |
| 339 | const armnn::TensorInfo inputInfo ({ 1, 5, 5, 1 }, armnn::DataType::Float32); |
| 340 | const armnn::TensorInfo outputInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
Saoirse Stewart | 263829c | 2019-02-19 15:54:14 +0000 | [diff] [blame] | 341 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 342 | const armnn::TensorInfo weightsInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
| 343 | const armnn::TensorInfo biasesInfo ({ 1 }, armnn::DataType::Float32); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 344 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 345 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 346 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 347 | |
| 348 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 349 | armnn::ConstTensor biases(biasesInfo, biasesData); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 350 | |
| 351 | armnn::Convolution2dDescriptor descriptor; |
| 352 | descriptor.m_PadLeft = 1; |
| 353 | descriptor.m_PadRight = 1; |
| 354 | descriptor.m_PadTop = 1; |
| 355 | descriptor.m_PadBottom = 1; |
| 356 | descriptor.m_StrideX = 2; |
| 357 | descriptor.m_StrideY = 2; |
Aron Virginas-Tar | 5e1b0cf | 2019-06-21 14:20:11 +0100 | [diff] [blame] | 358 | descriptor.m_DilationX = 2; |
| 359 | descriptor.m_DilationY = 2; |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 360 | descriptor.m_BiasEnabled = true; |
| 361 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 362 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 363 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 364 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 365 | armnn::IConnectableLayer* const convLayer = |
Matteo Martincigh | fc598e1 | 2019-05-14 10:36:13 +0100 | [diff] [blame] | 366 | network->AddConvolution2dLayer(descriptor, |
| 367 | weights, |
| 368 | armnn::Optional<armnn::ConstTensor>(biases), |
| 369 | layerName.c_str()); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 370 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 371 | |
| 372 | inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0)); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 373 | convLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 374 | |
| 375 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 376 | convLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 377 | |
| 378 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 379 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 380 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 381 | const std::vector<armnn::ConstTensor>& constants {weights, biases}; |
| 382 | LayerVerifierBaseWithDescriptorAndConstants<armnn::Convolution2dDescriptor> verifier( |
| 383 | layerName, {inputInfo}, {outputInfo}, descriptor, constants); |
| 384 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 385 | } |
| 386 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 387 | TEST_CASE("SerializeConvolution2dWithPerAxisParams") |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 388 | { |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 389 | using namespace armnn; |
| 390 | |
| 391 | const std::string layerName("convolution2dWithPerAxis"); |
| 392 | const TensorInfo inputInfo ({ 1, 3, 1, 2 }, DataType::QAsymmU8, 0.55f, 128); |
| 393 | const TensorInfo outputInfo({ 1, 3, 1, 3 }, DataType::QAsymmU8, 0.75f, 128); |
| 394 | |
| 395 | const std::vector<float> quantScales{ 0.75f, 0.65f, 0.85f }; |
| 396 | constexpr unsigned int quantDimension = 0; |
| 397 | |
| 398 | const TensorInfo kernelInfo({ 3, 1, 1, 2 }, DataType::QSymmS8, quantScales, quantDimension); |
| 399 | |
| 400 | const std::vector<float> biasQuantScales{ 0.25f, 0.50f, 0.75f }; |
| 401 | const TensorInfo biasInfo({ 3 }, DataType::Signed32, biasQuantScales, quantDimension); |
| 402 | |
| 403 | std::vector<int8_t> kernelData = GenerateRandomData<int8_t>(kernelInfo.GetNumElements()); |
| 404 | armnn::ConstTensor weights(kernelInfo, kernelData); |
| 405 | std::vector<int32_t> biasData = GenerateRandomData<int32_t>(biasInfo.GetNumElements()); |
| 406 | armnn::ConstTensor biases(biasInfo, biasData); |
| 407 | |
| 408 | Convolution2dDescriptor descriptor; |
| 409 | descriptor.m_StrideX = 1; |
| 410 | descriptor.m_StrideY = 1; |
| 411 | descriptor.m_PadLeft = 0; |
| 412 | descriptor.m_PadRight = 0; |
| 413 | descriptor.m_PadTop = 0; |
| 414 | descriptor.m_PadBottom = 0; |
| 415 | descriptor.m_BiasEnabled = true; |
| 416 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 417 | |
| 418 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 419 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 420 | armnn::IConnectableLayer* const convLayer = |
| 421 | network->AddConvolution2dLayer(descriptor, |
| 422 | weights, |
| 423 | armnn::Optional<armnn::ConstTensor>(biases), |
| 424 | layerName.c_str()); |
| 425 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 426 | |
| 427 | inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0)); |
| 428 | convLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 429 | |
| 430 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 431 | convLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 432 | |
| 433 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 434 | CHECK(deserializedNetwork); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 435 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 436 | const std::vector<armnn::ConstTensor>& constants {weights, biases}; |
| 437 | LayerVerifierBaseWithDescriptorAndConstants<Convolution2dDescriptor> verifier( |
| 438 | layerName, {inputInfo}, {outputInfo}, descriptor, constants); |
| 439 | deserializedNetwork->ExecuteStrategy(verifier); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 440 | } |
| 441 | |
Matthew Sloyan | b63a311 | 2021-09-08 13:05:51 +0100 | [diff] [blame^] | 442 | TEST_CASE("SerializeConvolution3d") |
| 443 | { |
| 444 | const std::string layerName("convolution3d"); |
| 445 | const armnn::TensorInfo inputInfo ({ 1, 5, 5, 5, 1 }, armnn::DataType::Float32); |
| 446 | const armnn::TensorInfo outputInfo({ 1, 2, 2, 2, 1 }, armnn::DataType::Float32); |
| 447 | |
| 448 | const armnn::TensorInfo weightsInfo({ 3, 3, 3, 1, 1 }, armnn::DataType::Float32); |
| 449 | const armnn::TensorInfo biasesInfo ({ 1 }, armnn::DataType::Float32); |
| 450 | |
| 451 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 452 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 453 | |
| 454 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 455 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 456 | |
| 457 | armnn::Convolution3dDescriptor descriptor; |
| 458 | descriptor.m_PadLeft = 0; |
| 459 | descriptor.m_PadRight = 0; |
| 460 | descriptor.m_PadTop = 0; |
| 461 | descriptor.m_PadBottom = 0; |
| 462 | descriptor.m_PadFront = 0; |
| 463 | descriptor.m_PadBack = 0; |
| 464 | descriptor.m_DilationX = 1; |
| 465 | descriptor.m_DilationY = 1; |
| 466 | descriptor.m_DilationZ = 1; |
| 467 | descriptor.m_StrideX = 2; |
| 468 | descriptor.m_StrideY = 2; |
| 469 | descriptor.m_StrideZ = 2; |
| 470 | descriptor.m_BiasEnabled = true; |
| 471 | descriptor.m_DataLayout = armnn::DataLayout::NDHWC; |
| 472 | |
| 473 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 474 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 475 | armnn::IConnectableLayer* const convLayer = |
| 476 | network->AddConvolution3dLayer(descriptor, |
| 477 | weights, |
| 478 | armnn::Optional<armnn::ConstTensor>(biases), |
| 479 | layerName.c_str()); |
| 480 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 481 | |
| 482 | inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0)); |
| 483 | convLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 484 | |
| 485 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 486 | convLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 487 | |
| 488 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 489 | CHECK(deserializedNetwork); |
| 490 | |
| 491 | const std::vector<armnn::ConstTensor>& constants {weights, biases}; |
| 492 | LayerVerifierBaseWithDescriptorAndConstants<armnn::Convolution3dDescriptor> verifier( |
| 493 | layerName, {inputInfo}, {outputInfo}, descriptor, constants); |
| 494 | deserializedNetwork->ExecuteStrategy(verifier); |
| 495 | } |
| 496 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 497 | TEST_CASE("SerializeDepthToSpace") |
Aron Virginas-Tar | da9d2d3 | 2019-09-20 10:42:02 +0100 | [diff] [blame] | 498 | { |
Aron Virginas-Tar | da9d2d3 | 2019-09-20 10:42:02 +0100 | [diff] [blame] | 499 | const std::string layerName("depthToSpace"); |
| 500 | |
| 501 | const armnn::TensorInfo inputInfo ({ 1, 8, 4, 12 }, armnn::DataType::Float32); |
| 502 | const armnn::TensorInfo outputInfo({ 1, 16, 8, 3 }, armnn::DataType::Float32); |
| 503 | |
| 504 | armnn::DepthToSpaceDescriptor desc; |
| 505 | desc.m_BlockSize = 2; |
| 506 | desc.m_DataLayout = armnn::DataLayout::NHWC; |
| 507 | |
| 508 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 509 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 510 | armnn::IConnectableLayer* const depthToSpaceLayer = network->AddDepthToSpaceLayer(desc, layerName.c_str()); |
| 511 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 512 | |
| 513 | inputLayer->GetOutputSlot(0).Connect(depthToSpaceLayer->GetInputSlot(0)); |
| 514 | depthToSpaceLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 515 | |
| 516 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 517 | depthToSpaceLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 518 | |
| 519 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 520 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | da9d2d3 | 2019-09-20 10:42:02 +0100 | [diff] [blame] | 521 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 522 | LayerVerifierBaseWithDescriptor<armnn::DepthToSpaceDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, desc); |
| 523 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | da9d2d3 | 2019-09-20 10:42:02 +0100 | [diff] [blame] | 524 | } |
| 525 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 526 | TEST_CASE("SerializeDepthwiseConvolution2d") |
Conor Kennedy | 79ffdf5 | 2019-03-01 14:24:54 +0000 | [diff] [blame] | 527 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 528 | const std::string layerName("depwiseConvolution2d"); |
| 529 | const armnn::TensorInfo inputInfo ({ 1, 5, 5, 3 }, armnn::DataType::Float32); |
| 530 | const armnn::TensorInfo outputInfo({ 1, 3, 3, 3 }, armnn::DataType::Float32); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 531 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 532 | const armnn::TensorInfo weightsInfo({ 1, 3, 3, 3 }, armnn::DataType::Float32); |
| 533 | const armnn::TensorInfo biasesInfo ({ 3 }, armnn::DataType::Float32); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 534 | |
| 535 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 536 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 537 | |
| 538 | std::vector<int32_t> biasesData = GenerateRandomData<int32_t>(biasesInfo.GetNumElements()); |
| 539 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 540 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 541 | armnn::DepthwiseConvolution2dDescriptor descriptor; |
Aron Virginas-Tar | 5e1b0cf | 2019-06-21 14:20:11 +0100 | [diff] [blame] | 542 | descriptor.m_PadLeft = 1; |
| 543 | descriptor.m_PadRight = 1; |
| 544 | descriptor.m_PadTop = 1; |
| 545 | descriptor.m_PadBottom = 1; |
| 546 | descriptor.m_StrideX = 2; |
| 547 | descriptor.m_StrideY = 2; |
| 548 | descriptor.m_DilationX = 2; |
| 549 | descriptor.m_DilationY = 2; |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 550 | descriptor.m_BiasEnabled = true; |
| 551 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 552 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 553 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 554 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 555 | armnn::IConnectableLayer* const depthwiseConvLayer = |
Matteo Martincigh | fc598e1 | 2019-05-14 10:36:13 +0100 | [diff] [blame] | 556 | network->AddDepthwiseConvolution2dLayer(descriptor, |
| 557 | weights, |
| 558 | armnn::Optional<armnn::ConstTensor>(biases), |
| 559 | layerName.c_str()); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 560 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 561 | |
| 562 | inputLayer->GetOutputSlot(0).Connect(depthwiseConvLayer->GetInputSlot(0)); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 563 | depthwiseConvLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 564 | |
| 565 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 566 | depthwiseConvLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 567 | |
| 568 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 569 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 570 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 571 | const std::vector<armnn::ConstTensor>& constants {weights, biases}; |
| 572 | LayerVerifierBaseWithDescriptorAndConstants<armnn::DepthwiseConvolution2dDescriptor> verifier( |
| 573 | layerName, {inputInfo}, {outputInfo}, descriptor, constants); |
| 574 | deserializedNetwork->ExecuteStrategy(verifier); |
Jim Flynn | 18ce338 | 2019-03-08 11:08:30 +0000 | [diff] [blame] | 575 | } |
| 576 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 577 | TEST_CASE("SerializeDepthwiseConvolution2dWithPerAxisParams") |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 578 | { |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 579 | using namespace armnn; |
| 580 | |
| 581 | const std::string layerName("depwiseConvolution2dWithPerAxis"); |
| 582 | const TensorInfo inputInfo ({ 1, 3, 3, 2 }, DataType::QAsymmU8, 0.55f, 128); |
| 583 | const TensorInfo outputInfo({ 1, 2, 2, 4 }, DataType::QAsymmU8, 0.75f, 128); |
| 584 | |
| 585 | const std::vector<float> quantScales{ 0.75f, 0.80f, 0.90f, 0.95f }; |
| 586 | const unsigned int quantDimension = 0; |
| 587 | TensorInfo kernelInfo({ 2, 2, 2, 2 }, DataType::QSymmS8, quantScales, quantDimension); |
| 588 | |
| 589 | const std::vector<float> biasQuantScales{ 0.25f, 0.35f, 0.45f, 0.55f }; |
| 590 | constexpr unsigned int biasQuantDimension = 0; |
| 591 | TensorInfo biasInfo({ 4 }, DataType::Signed32, biasQuantScales, biasQuantDimension); |
| 592 | |
| 593 | std::vector<int8_t> kernelData = GenerateRandomData<int8_t>(kernelInfo.GetNumElements()); |
| 594 | armnn::ConstTensor weights(kernelInfo, kernelData); |
| 595 | std::vector<int32_t> biasData = GenerateRandomData<int32_t>(biasInfo.GetNumElements()); |
| 596 | armnn::ConstTensor biases(biasInfo, biasData); |
| 597 | |
| 598 | DepthwiseConvolution2dDescriptor descriptor; |
| 599 | descriptor.m_StrideX = 1; |
| 600 | descriptor.m_StrideY = 1; |
| 601 | descriptor.m_PadLeft = 0; |
| 602 | descriptor.m_PadRight = 0; |
| 603 | descriptor.m_PadTop = 0; |
| 604 | descriptor.m_PadBottom = 0; |
| 605 | descriptor.m_DilationX = 1; |
| 606 | descriptor.m_DilationY = 1; |
| 607 | descriptor.m_BiasEnabled = true; |
| 608 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 609 | |
| 610 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 611 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 612 | armnn::IConnectableLayer* const depthwiseConvLayer = |
| 613 | network->AddDepthwiseConvolution2dLayer(descriptor, |
| 614 | weights, |
| 615 | armnn::Optional<armnn::ConstTensor>(biases), |
| 616 | layerName.c_str()); |
| 617 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 618 | |
| 619 | inputLayer->GetOutputSlot(0).Connect(depthwiseConvLayer->GetInputSlot(0)); |
| 620 | depthwiseConvLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 621 | |
| 622 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 623 | depthwiseConvLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 624 | |
| 625 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 626 | CHECK(deserializedNetwork); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 627 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 628 | const std::vector<armnn::ConstTensor>& constants {weights, biases}; |
| 629 | LayerVerifierBaseWithDescriptorAndConstants<armnn::DepthwiseConvolution2dDescriptor> verifier( |
| 630 | layerName, {inputInfo}, {outputInfo}, descriptor, constants); |
| 631 | deserializedNetwork->ExecuteStrategy(verifier); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 632 | } |
| 633 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 634 | TEST_CASE("SerializeDequantize") |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 635 | { |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 636 | const std::string layerName("dequantize"); |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 637 | 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] | 638 | const armnn::TensorInfo outputInfo({ 1, 5, 2, 3 }, armnn::DataType::Float32); |
| 639 | |
| 640 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 641 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 642 | armnn::IConnectableLayer* const dequantizeLayer = network->AddDequantizeLayer(layerName.c_str()); |
| 643 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 644 | |
| 645 | inputLayer->GetOutputSlot(0).Connect(dequantizeLayer->GetInputSlot(0)); |
| 646 | dequantizeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 647 | |
| 648 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 649 | dequantizeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 650 | |
| 651 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 652 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 653 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 654 | LayerVerifierBase verifier(layerName, {inputInfo}, {outputInfo}); |
| 655 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 656 | } |
| 657 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 658 | TEST_CASE("SerializeDeserializeDetectionPostProcess") |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 659 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 660 | const std::string layerName("detectionPostProcess"); |
| 661 | |
| 662 | const std::vector<armnn::TensorInfo> inputInfos({ |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 663 | armnn::TensorInfo({ 1, 6, 4 }, armnn::DataType::Float32), |
| 664 | armnn::TensorInfo({ 1, 6, 3}, armnn::DataType::Float32) |
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 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 667 | const std::vector<armnn::TensorInfo> outputInfos({ |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 668 | armnn::TensorInfo({ 1, 3, 4 }, armnn::DataType::Float32), |
| 669 | armnn::TensorInfo({ 1, 3 }, armnn::DataType::Float32), |
| 670 | armnn::TensorInfo({ 1, 3 }, armnn::DataType::Float32), |
| 671 | armnn::TensorInfo({ 1 }, armnn::DataType::Float32) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 672 | }); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 673 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 674 | armnn::DetectionPostProcessDescriptor descriptor; |
| 675 | descriptor.m_UseRegularNms = true; |
| 676 | descriptor.m_MaxDetections = 3; |
| 677 | descriptor.m_MaxClassesPerDetection = 1; |
| 678 | descriptor.m_DetectionsPerClass =1; |
| 679 | descriptor.m_NmsScoreThreshold = 0.0; |
| 680 | descriptor.m_NmsIouThreshold = 0.5; |
| 681 | descriptor.m_NumClasses = 2; |
| 682 | descriptor.m_ScaleY = 10.0; |
| 683 | descriptor.m_ScaleX = 10.0; |
| 684 | descriptor.m_ScaleH = 5.0; |
| 685 | descriptor.m_ScaleW = 5.0; |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 686 | |
| 687 | const armnn::TensorInfo anchorsInfo({ 6, 4 }, armnn::DataType::Float32); |
| 688 | const std::vector<float> anchorsData({ |
| 689 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 690 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 691 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 692 | 0.5f, 10.5f, 1.0f, 1.0f, |
| 693 | 0.5f, 10.5f, 1.0f, 1.0f, |
| 694 | 0.5f, 100.5f, 1.0f, 1.0f |
| 695 | }); |
| 696 | armnn::ConstTensor anchors(anchorsInfo, anchorsData); |
| 697 | |
| 698 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 699 | armnn::IConnectableLayer* const detectionLayer = |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 700 | network->AddDetectionPostProcessLayer(descriptor, anchors, layerName.c_str()); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 701 | |
| 702 | for (unsigned int i = 0; i < 2; i++) |
| 703 | { |
| 704 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(static_cast<int>(i)); |
| 705 | inputLayer->GetOutputSlot(0).Connect(detectionLayer->GetInputSlot(i)); |
| 706 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfos[i]); |
| 707 | } |
| 708 | |
| 709 | for (unsigned int i = 0; i < 4; i++) |
| 710 | { |
| 711 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(static_cast<int>(i)); |
| 712 | detectionLayer->GetOutputSlot(i).Connect(outputLayer->GetInputSlot(0)); |
| 713 | detectionLayer->GetOutputSlot(i).SetTensorInfo(outputInfos[i]); |
| 714 | } |
| 715 | |
| 716 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 717 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 718 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 719 | const std::vector<armnn::ConstTensor>& constants {anchors}; |
| 720 | LayerVerifierBaseWithDescriptorAndConstants<armnn::DetectionPostProcessDescriptor> verifier( |
| 721 | layerName, inputInfos, outputInfos, descriptor, constants); |
| 722 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 723 | } |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 724 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 725 | TEST_CASE("SerializeDivision") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 726 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 727 | const std::string layerName("division"); |
| 728 | const armnn::TensorInfo info({ 1, 5, 2, 3 }, armnn::DataType::Float32); |
| 729 | |
| 730 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 731 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 732 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 733 | armnn::IConnectableLayer* const divisionLayer = network->AddDivisionLayer(layerName.c_str()); |
| 734 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 735 | |
| 736 | inputLayer0->GetOutputSlot(0).Connect(divisionLayer->GetInputSlot(0)); |
| 737 | inputLayer1->GetOutputSlot(0).Connect(divisionLayer->GetInputSlot(1)); |
| 738 | divisionLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 739 | |
| 740 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 741 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 742 | divisionLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 743 | |
| 744 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 745 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 746 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 747 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 748 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 749 | } |
| 750 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 751 | TEST_CASE("SerializeDeserializeEqual") |
Aron Virginas-Tar | 6d2e659 | 2019-10-22 11:44:47 +0100 | [diff] [blame] | 752 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 753 | const std::string layerName("EqualLayer"); |
| 754 | const armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({2, 1, 2, 4}, armnn::DataType::Float32); |
| 755 | const armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({2, 1, 2, 4}, armnn::DataType::Float32); |
| 756 | 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] | 757 | |
| 758 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 759 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(0); |
| 760 | armnn::IConnectableLayer* const inputLayer2 = network->AddInputLayer(1); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 761 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
| 762 | armnn::IConnectableLayer* const equalLayer = network->AddEqualLayer(layerName.c_str()); |
| 763 | ARMNN_NO_DEPRECATE_WARN_END |
| 764 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 765 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 766 | inputLayer1->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(0)); |
| 767 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputTensorInfo1); |
| 768 | inputLayer2->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(1)); |
| 769 | inputLayer2->GetOutputSlot(0).SetTensorInfo(inputTensorInfo2); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 770 | equalLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 771 | equalLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 772 | |
| 773 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 774 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 775 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 776 | LayerVerifierBase verifier(layerName, {inputTensorInfo1, inputTensorInfo2}, {outputTensorInfo}); |
| 777 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | 6d2e659 | 2019-10-22 11:44:47 +0100 | [diff] [blame] | 778 | } |
| 779 | |
Teresa Charlin | 50de4fa | 2021-05-31 18:47:33 +0100 | [diff] [blame] | 780 | void SerializeElementwiseUnaryTest(armnn::UnaryOperation unaryOperation) |
| 781 | { |
| 782 | auto layerName = GetUnaryOperationAsCString(unaryOperation); |
| 783 | |
| 784 | const armnn::TensorShape shape{2, 1, 2, 2}; |
| 785 | |
| 786 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Float32); |
| 787 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Float32); |
| 788 | |
| 789 | armnn::ElementwiseUnaryDescriptor descriptor(unaryOperation); |
| 790 | |
| 791 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 792 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 793 | armnn::IConnectableLayer* const elementwiseUnaryLayer = |
| 794 | network->AddElementwiseUnaryLayer(descriptor, layerName); |
| 795 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 796 | |
| 797 | inputLayer->GetOutputSlot(0).Connect(elementwiseUnaryLayer->GetInputSlot(0)); |
| 798 | elementwiseUnaryLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 799 | |
| 800 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 801 | elementwiseUnaryLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 802 | |
| 803 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 804 | |
| 805 | CHECK(deserializedNetwork); |
| 806 | |
| 807 | LayerVerifierBaseWithDescriptor<armnn::ElementwiseUnaryDescriptor> |
| 808 | verifier(layerName, { inputInfo }, { outputInfo }, descriptor); |
| 809 | |
| 810 | deserializedNetwork->ExecuteStrategy(verifier); |
| 811 | } |
| 812 | |
| 813 | TEST_CASE("SerializeElementwiseUnary") |
| 814 | { |
| 815 | using op = armnn::UnaryOperation; |
| 816 | std::initializer_list<op> allUnaryOperations = {op::Abs, op::Exp, op::Sqrt, op::Rsqrt, op::Neg, |
| 817 | op::LogicalNot, op::Log, op::Sin}; |
| 818 | |
| 819 | for (auto unaryOperation : allUnaryOperations) |
| 820 | { |
| 821 | SerializeElementwiseUnaryTest(unaryOperation); |
| 822 | } |
| 823 | } |
| 824 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 825 | TEST_CASE("SerializeFill") |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 826 | { |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 827 | const std::string layerName("fill"); |
Teresa Charlin | 4b10fef | 2020-07-29 09:36:41 +0100 | [diff] [blame] | 828 | const armnn::TensorInfo inputInfo({4}, armnn::DataType::Signed32); |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 829 | const armnn::TensorInfo outputInfo({1, 3, 3, 1}, armnn::DataType::Float32); |
| 830 | |
| 831 | armnn::FillDescriptor descriptor(1.0f); |
| 832 | |
| 833 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 834 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 835 | armnn::IConnectableLayer* const fillLayer = network->AddFillLayer(descriptor, layerName.c_str()); |
| 836 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 837 | |
| 838 | inputLayer->GetOutputSlot(0).Connect(fillLayer->GetInputSlot(0)); |
| 839 | fillLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 840 | |
| 841 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 842 | fillLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 843 | |
| 844 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 845 | CHECK(deserializedNetwork); |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 846 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 847 | LayerVerifierBaseWithDescriptor<armnn::FillDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, descriptor); |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 848 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 849 | deserializedNetwork->ExecuteStrategy(verifier); |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 850 | } |
| 851 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 852 | TEST_CASE("SerializeFloor") |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 853 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 854 | const std::string layerName("floor"); |
| 855 | const armnn::TensorInfo info({4,4}, armnn::DataType::Float32); |
| 856 | |
| 857 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 858 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 859 | armnn::IConnectableLayer* const floorLayer = network->AddFloorLayer(layerName.c_str()); |
| 860 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 861 | |
| 862 | inputLayer->GetOutputSlot(0).Connect(floorLayer->GetInputSlot(0)); |
| 863 | floorLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 864 | |
| 865 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 866 | floorLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 867 | |
| 868 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 869 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 870 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 871 | LayerVerifierBase verifier(layerName, {info}, {info}); |
| 872 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 873 | } |
| 874 | |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 875 | using FullyConnectedDescriptor = armnn::FullyConnectedDescriptor; |
| 876 | class FullyConnectedLayerVerifier : public LayerVerifierBaseWithDescriptor<FullyConnectedDescriptor> |
| 877 | { |
| 878 | public: |
| 879 | FullyConnectedLayerVerifier(const std::string& layerName, |
| 880 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 881 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 882 | const FullyConnectedDescriptor& descriptor) |
| 883 | : LayerVerifierBaseWithDescriptor<FullyConnectedDescriptor>(layerName, inputInfos, outputInfos, descriptor) {} |
| 884 | |
| 885 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 886 | const armnn::BaseDescriptor& descriptor, |
| 887 | const std::vector<armnn::ConstTensor>& constants, |
| 888 | const char* name, |
| 889 | const armnn::LayerBindingId id = 0) override |
| 890 | { |
| 891 | armnn::IgnoreUnused(constants, id); |
| 892 | switch (layer->GetType()) |
| 893 | { |
| 894 | case armnn::LayerType::Input: break; |
| 895 | case armnn::LayerType::Output: break; |
| 896 | case armnn::LayerType::Constant: break; |
| 897 | default: |
| 898 | { |
| 899 | VerifyNameAndConnections(layer, name); |
| 900 | const FullyConnectedDescriptor& layerDescriptor = |
| 901 | static_cast<const FullyConnectedDescriptor&>(descriptor); |
| 902 | CHECK(layerDescriptor.m_ConstantWeights == m_Descriptor.m_ConstantWeights); |
| 903 | CHECK(layerDescriptor.m_BiasEnabled == m_Descriptor.m_BiasEnabled); |
| 904 | CHECK(layerDescriptor.m_TransposeWeightMatrix == m_Descriptor.m_TransposeWeightMatrix); |
| 905 | } |
| 906 | } |
| 907 | } |
| 908 | }; |
| 909 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 910 | TEST_CASE("SerializeFullyConnected") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 911 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 912 | const std::string layerName("fullyConnected"); |
| 913 | const armnn::TensorInfo inputInfo ({ 2, 5, 1, 1 }, armnn::DataType::Float32); |
| 914 | const armnn::TensorInfo outputInfo({ 2, 3 }, armnn::DataType::Float32); |
| 915 | |
| 916 | const armnn::TensorInfo weightsInfo({ 5, 3 }, armnn::DataType::Float32); |
| 917 | const armnn::TensorInfo biasesInfo ({ 3 }, armnn::DataType::Float32); |
| 918 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 919 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 920 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 921 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 922 | |
| 923 | armnn::FullyConnectedDescriptor descriptor; |
| 924 | descriptor.m_BiasEnabled = true; |
| 925 | descriptor.m_TransposeWeightMatrix = false; |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 926 | descriptor.m_ConstantWeights = true; |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 927 | |
| 928 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 929 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 930 | |
| 931 | // Old way of handling constant tensors. |
| 932 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 933 | armnn::IConnectableLayer* const fullyConnectedLayer = |
Matteo Martincigh | fc598e1 | 2019-05-14 10:36:13 +0100 | [diff] [blame] | 934 | network->AddFullyConnectedLayer(descriptor, |
| 935 | weights, |
| 936 | armnn::Optional<armnn::ConstTensor>(biases), |
| 937 | layerName.c_str()); |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 938 | ARMNN_NO_DEPRECATE_WARN_END |
| 939 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 940 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 941 | |
| 942 | inputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(0)); |
| 943 | fullyConnectedLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 944 | |
| 945 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 946 | fullyConnectedLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 947 | |
| 948 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 949 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 950 | |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 951 | FullyConnectedLayerVerifier verifier(layerName, {inputInfo, weightsInfo, biasesInfo}, {outputInfo}, descriptor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 952 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 953 | } |
| 954 | |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 955 | TEST_CASE("SerializeFullyConnectedWeightsAndBiasesAsInputs") |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 956 | { |
| 957 | const std::string layerName("fullyConnected_weights_as_inputs"); |
| 958 | const armnn::TensorInfo inputInfo ({ 2, 5, 1, 1 }, armnn::DataType::Float32); |
| 959 | const armnn::TensorInfo outputInfo({ 2, 3 }, armnn::DataType::Float32); |
| 960 | |
| 961 | const armnn::TensorInfo weightsInfo({ 5, 3 }, armnn::DataType::Float32); |
| 962 | const armnn::TensorInfo biasesInfo ({ 3 }, armnn::DataType::Float32); |
| 963 | |
| 964 | armnn::Optional<armnn::ConstTensor> weights = armnn::EmptyOptional(); |
| 965 | armnn::Optional<armnn::ConstTensor> bias = armnn::EmptyOptional(); |
| 966 | |
| 967 | armnn::FullyConnectedDescriptor descriptor; |
| 968 | descriptor.m_BiasEnabled = true; |
| 969 | descriptor.m_TransposeWeightMatrix = false; |
| 970 | descriptor.m_ConstantWeights = false; |
| 971 | |
| 972 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 973 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 974 | armnn::IConnectableLayer* const weightsInputLayer = network->AddInputLayer(1); |
| 975 | armnn::IConnectableLayer* const biasInputLayer = network->AddInputLayer(2); |
| 976 | armnn::IConnectableLayer* const fullyConnectedLayer = |
| 977 | network->AddFullyConnectedLayer(descriptor, |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 978 | layerName.c_str()); |
| 979 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 980 | |
| 981 | inputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(0)); |
| 982 | weightsInputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(1)); |
| 983 | biasInputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(2)); |
| 984 | fullyConnectedLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 985 | |
| 986 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 987 | weightsInputLayer->GetOutputSlot(0).SetTensorInfo(weightsInfo); |
| 988 | biasInputLayer->GetOutputSlot(0).SetTensorInfo(biasesInfo); |
| 989 | fullyConnectedLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 990 | |
| 991 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 992 | CHECK(deserializedNetwork); |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 993 | |
| 994 | const std::vector<armnn::ConstTensor> constants {}; |
| 995 | LayerVerifierBaseWithDescriptorAndConstants<armnn::FullyConnectedDescriptor> verifier( |
| 996 | layerName, {inputInfo, weightsInfo, biasesInfo}, {outputInfo}, descriptor, constants); |
| 997 | deserializedNetwork->ExecuteStrategy(verifier); |
| 998 | } |
| 999 | |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 1000 | TEST_CASE("SerializeFullyConnectedWeightsAndBiasesAsConstantLayers") |
| 1001 | { |
| 1002 | const std::string layerName("fullyConnected_weights_as_inputs"); |
| 1003 | const armnn::TensorInfo inputInfo ({ 2, 5, 1, 1 }, armnn::DataType::Float32); |
| 1004 | const armnn::TensorInfo outputInfo({ 2, 3 }, armnn::DataType::Float32); |
| 1005 | |
| 1006 | const armnn::TensorInfo weightsInfo({ 5, 3 }, armnn::DataType::Float32); |
| 1007 | const armnn::TensorInfo biasesInfo ({ 3 }, armnn::DataType::Float32); |
| 1008 | |
| 1009 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 1010 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 1011 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 1012 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 1013 | |
| 1014 | armnn::FullyConnectedDescriptor descriptor; |
| 1015 | descriptor.m_BiasEnabled = true; |
| 1016 | descriptor.m_TransposeWeightMatrix = false; |
| 1017 | descriptor.m_ConstantWeights = true; |
| 1018 | |
| 1019 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1020 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1021 | armnn::IConnectableLayer* const weightsLayer = network->AddConstantLayer(weights, "Weights"); |
| 1022 | armnn::IConnectableLayer* const biasesLayer = network->AddConstantLayer(biases, "Biases"); |
| 1023 | armnn::IConnectableLayer* const fullyConnectedLayer = network->AddFullyConnectedLayer(descriptor,layerName.c_str()); |
| 1024 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1025 | |
| 1026 | inputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(0)); |
| 1027 | weightsLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(1)); |
| 1028 | biasesLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(2)); |
| 1029 | fullyConnectedLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1030 | |
| 1031 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1032 | weightsLayer->GetOutputSlot(0).SetTensorInfo(weightsInfo); |
| 1033 | biasesLayer->GetOutputSlot(0).SetTensorInfo(biasesInfo); |
| 1034 | fullyConnectedLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1035 | |
| 1036 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1037 | CHECK(deserializedNetwork); |
| 1038 | |
| 1039 | FullyConnectedLayerVerifier verifier(layerName, {inputInfo, weightsInfo, biasesInfo}, {outputInfo}, descriptor); |
| 1040 | deserializedNetwork->ExecuteStrategy(verifier); |
| 1041 | } |
| 1042 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1043 | TEST_CASE("SerializeGather") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1044 | { |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 1045 | using GatherDescriptor = armnn::GatherDescriptor; |
| 1046 | class GatherLayerVerifier : public LayerVerifierBaseWithDescriptor<GatherDescriptor> |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1047 | { |
| 1048 | public: |
| 1049 | GatherLayerVerifier(const std::string& layerName, |
| 1050 | const std::vector<armnn::TensorInfo>& inputInfos, |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 1051 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 1052 | const GatherDescriptor& descriptor) |
| 1053 | : LayerVerifierBaseWithDescriptor<GatherDescriptor>(layerName, inputInfos, outputInfos, descriptor) {} |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1054 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1055 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 1056 | const armnn::BaseDescriptor& descriptor, |
| 1057 | const std::vector<armnn::ConstTensor>& constants, |
| 1058 | const char* name, |
| 1059 | const armnn::LayerBindingId id = 0) override |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1060 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1061 | armnn::IgnoreUnused(constants, id); |
| 1062 | switch (layer->GetType()) |
| 1063 | { |
| 1064 | case armnn::LayerType::Input: break; |
| 1065 | case armnn::LayerType::Output: break; |
| 1066 | case armnn::LayerType::Constant: break; |
| 1067 | default: |
| 1068 | { |
| 1069 | VerifyNameAndConnections(layer, name); |
| 1070 | const GatherDescriptor& layerDescriptor = static_cast<const GatherDescriptor&>(descriptor); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1071 | CHECK(layerDescriptor.m_Axis == m_Descriptor.m_Axis); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1072 | } |
| 1073 | } |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1074 | } |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1075 | }; |
| 1076 | |
| 1077 | const std::string layerName("gather"); |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1078 | armnn::TensorInfo paramsInfo({ 8 }, armnn::DataType::QAsymmU8); |
| 1079 | armnn::TensorInfo outputInfo({ 3 }, armnn::DataType::QAsymmU8); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1080 | const armnn::TensorInfo indicesInfo({ 3 }, armnn::DataType::Signed32); |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 1081 | GatherDescriptor descriptor; |
| 1082 | descriptor.m_Axis = 1; |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1083 | |
| 1084 | paramsInfo.SetQuantizationScale(1.0f); |
| 1085 | paramsInfo.SetQuantizationOffset(0); |
| 1086 | outputInfo.SetQuantizationScale(1.0f); |
| 1087 | outputInfo.SetQuantizationOffset(0); |
| 1088 | |
| 1089 | const std::vector<int32_t>& indicesData = {7, 6, 5}; |
| 1090 | |
| 1091 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1092 | armnn::IConnectableLayer *const inputLayer = network->AddInputLayer(0); |
| 1093 | armnn::IConnectableLayer *const constantLayer = |
| 1094 | network->AddConstantLayer(armnn::ConstTensor(indicesInfo, indicesData)); |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 1095 | armnn::IConnectableLayer *const gatherLayer = network->AddGatherLayer(descriptor, layerName.c_str()); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1096 | armnn::IConnectableLayer *const outputLayer = network->AddOutputLayer(0); |
| 1097 | |
| 1098 | inputLayer->GetOutputSlot(0).Connect(gatherLayer->GetInputSlot(0)); |
| 1099 | constantLayer->GetOutputSlot(0).Connect(gatherLayer->GetInputSlot(1)); |
| 1100 | gatherLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1101 | |
| 1102 | inputLayer->GetOutputSlot(0).SetTensorInfo(paramsInfo); |
| 1103 | constantLayer->GetOutputSlot(0).SetTensorInfo(indicesInfo); |
| 1104 | gatherLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1105 | |
| 1106 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1107 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1108 | |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 1109 | GatherLayerVerifier verifier(layerName, {paramsInfo, indicesInfo}, {outputInfo}, descriptor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1110 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1111 | } |
| 1112 | |
Aron Virginas-Tar | 6d2e659 | 2019-10-22 11:44:47 +0100 | [diff] [blame] | 1113 | |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1114 | // NOTE: Until the deprecated AddGreaterLayer disappears this test checks that calling |
| 1115 | // AddGreaterLayer places a ComparisonLayer into the serialized format and that |
| 1116 | // when this deserialises we have a ComparisonLayer |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1117 | TEST_CASE("SerializeGreaterDeprecated") |
Aron Virginas-Tar | 781ced9 | 2019-10-03 11:15:39 +0100 | [diff] [blame] | 1118 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1119 | const std::string layerName("greater"); |
| 1120 | |
| 1121 | const armnn::TensorShape shape{2, 1, 2, 4}; |
| 1122 | |
| 1123 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Float32); |
| 1124 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Boolean); |
| 1125 | |
| 1126 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1127 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1128 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1129 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
| 1130 | armnn::IConnectableLayer* const equalLayer = network->AddGreaterLayer(layerName.c_str()); |
| 1131 | ARMNN_NO_DEPRECATE_WARN_END |
| 1132 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1133 | |
| 1134 | inputLayer0->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(0)); |
| 1135 | inputLayer1->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(1)); |
| 1136 | equalLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1137 | |
| 1138 | inputLayer0->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1139 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1140 | equalLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1141 | |
| 1142 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1143 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1144 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1145 | LayerVerifierBase verifier(layerName, { inputInfo, inputInfo }, { outputInfo }); |
| 1146 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1147 | } |
| 1148 | |
Aron Virginas-Tar | 6d2e659 | 2019-10-22 11:44:47 +0100 | [diff] [blame] | 1149 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1150 | TEST_CASE("SerializeInstanceNormalization") |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1151 | { |
Aron Virginas-Tar | 781ced9 | 2019-10-03 11:15:39 +0100 | [diff] [blame] | 1152 | const std::string layerName("instanceNormalization"); |
| 1153 | const armnn::TensorInfo info({ 1, 2, 1, 5 }, armnn::DataType::Float32); |
| 1154 | |
| 1155 | armnn::InstanceNormalizationDescriptor descriptor; |
| 1156 | descriptor.m_Gamma = 1.1f; |
| 1157 | descriptor.m_Beta = 0.1f; |
| 1158 | descriptor.m_Eps = 0.0001f; |
| 1159 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 1160 | |
| 1161 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1162 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1163 | armnn::IConnectableLayer* const instanceNormLayer = |
| 1164 | network->AddInstanceNormalizationLayer(descriptor, layerName.c_str()); |
| 1165 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1166 | |
| 1167 | inputLayer->GetOutputSlot(0).Connect(instanceNormLayer->GetInputSlot(0)); |
| 1168 | instanceNormLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1169 | |
| 1170 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1171 | instanceNormLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1172 | |
| 1173 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1174 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | 781ced9 | 2019-10-03 11:15:39 +0100 | [diff] [blame] | 1175 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1176 | LayerVerifierBaseWithDescriptor<armnn::InstanceNormalizationDescriptor> verifier( |
| 1177 | layerName, {info}, {info}, descriptor); |
| 1178 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | 781ced9 | 2019-10-03 11:15:39 +0100 | [diff] [blame] | 1179 | } |
| 1180 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1181 | TEST_CASE("SerializeL2Normalization") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1182 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1183 | const std::string l2NormLayerName("l2Normalization"); |
| 1184 | const armnn::TensorInfo info({1, 2, 1, 5}, armnn::DataType::Float32); |
| 1185 | |
| 1186 | armnn::L2NormalizationDescriptor desc; |
| 1187 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1188 | desc.m_Eps = 0.0001f; |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1189 | |
| 1190 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1191 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1192 | armnn::IConnectableLayer* const l2NormLayer = network->AddL2NormalizationLayer(desc, l2NormLayerName.c_str()); |
| 1193 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1194 | |
| 1195 | inputLayer0->GetOutputSlot(0).Connect(l2NormLayer->GetInputSlot(0)); |
| 1196 | l2NormLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1197 | |
| 1198 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1199 | l2NormLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1200 | |
| 1201 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1202 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1203 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1204 | LayerVerifierBaseWithDescriptor<armnn::L2NormalizationDescriptor> verifier( |
| 1205 | l2NormLayerName, {info}, {info}, desc); |
| 1206 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1207 | } |
| 1208 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1209 | TEST_CASE("EnsureL2NormalizationBackwardCompatibility") |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1210 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1211 | // 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] | 1212 | // a L2Normalization layer and an output layer with dimensions as per the tensor infos below. |
| 1213 | // |
| 1214 | // This test verifies that we can still read back these old style |
| 1215 | // models without the normalization epsilon value. |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1216 | const std::vector<uint8_t> l2NormalizationModel = |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1217 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1218 | 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, |
| 1219 | 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 1220 | 0x3C, 0x01, 0x00, 0x00, 0x74, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1221 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0xE8, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, |
| 1222 | 0x04, 0x00, 0x00, 0x00, 0xD6, 0xFE, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, |
| 1223 | 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x9E, 0xFF, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, |
| 1224 | 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1225 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1226 | 0x4C, 0xFF, 0xFF, 0xFF, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x44, 0xFF, 0xFF, 0xFF, 0x00, 0x00, |
| 1227 | 0x00, 0x20, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 1228 | 0x20, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1229 | 0x0E, 0x00, 0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x14, 0x00, 0x0E, 0x00, 0x00, 0x00, |
| 1230 | 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x1F, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x20, 0x00, |
| 1231 | 0x00, 0x00, 0x0F, 0x00, 0x00, 0x00, 0x6C, 0x32, 0x4E, 0x6F, 0x72, 0x6D, 0x61, 0x6C, 0x69, 0x7A, 0x61, 0x74, |
| 1232 | 0x69, 0x6F, 0x6E, 0x00, 0x01, 0x00, 0x00, 0x00, 0x48, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, |
| 1233 | 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 1234 | 0x52, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 1235 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x05, 0x00, 0x00, 0x00, |
| 1236 | 0x08, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1237 | 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, |
| 1238 | 0x04, 0x00, 0x00, 0x00, 0xF6, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x0A, 0x00, |
| 1239 | 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x14, 0x00, 0x00, 0x00, |
| 1240 | 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x0E, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, |
| 1241 | 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1242 | 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0A, 0x00, 0x00, 0x00, |
| 1243 | 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x08, 0x00, |
| 1244 | 0x07, 0x00, 0x0C, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1245 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, |
| 1246 | 0x05, 0x00, 0x00, 0x00, 0x00 |
| 1247 | }; |
| 1248 | |
| 1249 | armnn::INetworkPtr deserializedNetwork = |
| 1250 | DeserializeNetwork(std::string(l2NormalizationModel.begin(), l2NormalizationModel.end())); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1251 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1252 | |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1253 | const std::string layerName("l2Normalization"); |
| 1254 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({1, 2, 1, 5}, armnn::DataType::Float32); |
| 1255 | |
| 1256 | armnn::L2NormalizationDescriptor desc; |
| 1257 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1258 | // 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] | 1259 | desc.m_Eps = 1e-12f; |
| 1260 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1261 | LayerVerifierBaseWithDescriptor<armnn::L2NormalizationDescriptor> verifier( |
| 1262 | layerName, {inputInfo}, {inputInfo}, desc); |
| 1263 | deserializedNetwork->ExecuteStrategy(verifier); |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1264 | } |
| 1265 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1266 | TEST_CASE("SerializeLogicalBinary") |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 1267 | { |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 1268 | const std::string layerName("logicalBinaryAnd"); |
| 1269 | |
| 1270 | const armnn::TensorShape shape{2, 1, 2, 2}; |
| 1271 | |
| 1272 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Boolean); |
| 1273 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Boolean); |
| 1274 | |
| 1275 | armnn::LogicalBinaryDescriptor descriptor(armnn::LogicalBinaryOperation::LogicalAnd); |
| 1276 | |
| 1277 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1278 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1279 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1280 | armnn::IConnectableLayer* const logicalBinaryLayer = network->AddLogicalBinaryLayer(descriptor, layerName.c_str()); |
| 1281 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1282 | |
| 1283 | inputLayer0->GetOutputSlot(0).Connect(logicalBinaryLayer->GetInputSlot(0)); |
| 1284 | inputLayer1->GetOutputSlot(0).Connect(logicalBinaryLayer->GetInputSlot(1)); |
| 1285 | logicalBinaryLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1286 | |
| 1287 | inputLayer0->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1288 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1289 | logicalBinaryLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1290 | |
| 1291 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1292 | CHECK(deserializedNetwork); |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 1293 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1294 | LayerVerifierBaseWithDescriptor<armnn::LogicalBinaryDescriptor> verifier( |
| 1295 | layerName, { inputInfo, inputInfo }, { outputInfo }, descriptor); |
| 1296 | deserializedNetwork->ExecuteStrategy(verifier); |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 1297 | } |
| 1298 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1299 | TEST_CASE("SerializeLogSoftmax") |
Sadik Armagan | 2625785 | 2019-10-14 13:00:47 +0100 | [diff] [blame] | 1300 | { |
Sadik Armagan | 2625785 | 2019-10-14 13:00:47 +0100 | [diff] [blame] | 1301 | const std::string layerName("log_softmax"); |
| 1302 | const armnn::TensorInfo info({1, 10}, armnn::DataType::Float32); |
| 1303 | |
| 1304 | armnn::LogSoftmaxDescriptor descriptor; |
| 1305 | descriptor.m_Beta = 1.0f; |
| 1306 | descriptor.m_Axis = -1; |
| 1307 | |
| 1308 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1309 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1310 | armnn::IConnectableLayer* const logSoftmaxLayer = network->AddLogSoftmaxLayer(descriptor, layerName.c_str()); |
| 1311 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1312 | |
| 1313 | inputLayer->GetOutputSlot(0).Connect(logSoftmaxLayer->GetInputSlot(0)); |
| 1314 | logSoftmaxLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1315 | |
| 1316 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1317 | logSoftmaxLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1318 | |
| 1319 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1320 | CHECK(deserializedNetwork); |
Sadik Armagan | 2625785 | 2019-10-14 13:00:47 +0100 | [diff] [blame] | 1321 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1322 | LayerVerifierBaseWithDescriptor<armnn::LogSoftmaxDescriptor> verifier(layerName, {info}, {info}, descriptor); |
| 1323 | deserializedNetwork->ExecuteStrategy(verifier); |
Sadik Armagan | 2625785 | 2019-10-14 13:00:47 +0100 | [diff] [blame] | 1324 | } |
| 1325 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1326 | TEST_CASE("SerializeMaximum") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1327 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1328 | const std::string layerName("maximum"); |
| 1329 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 1330 | |
| 1331 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1332 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1333 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1334 | armnn::IConnectableLayer* const maximumLayer = network->AddMaximumLayer(layerName.c_str()); |
| 1335 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1336 | |
| 1337 | inputLayer0->GetOutputSlot(0).Connect(maximumLayer->GetInputSlot(0)); |
| 1338 | inputLayer1->GetOutputSlot(0).Connect(maximumLayer->GetInputSlot(1)); |
| 1339 | maximumLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1340 | |
| 1341 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1342 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 1343 | maximumLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1344 | |
| 1345 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1346 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1347 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1348 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 1349 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1350 | } |
| 1351 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1352 | TEST_CASE("SerializeMean") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1353 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1354 | const std::string layerName("mean"); |
| 1355 | const armnn::TensorInfo inputInfo({1, 1, 3, 2}, armnn::DataType::Float32); |
| 1356 | const armnn::TensorInfo outputInfo({1, 1, 1, 2}, armnn::DataType::Float32); |
| 1357 | |
| 1358 | armnn::MeanDescriptor descriptor; |
| 1359 | descriptor.m_Axis = { 2 }; |
| 1360 | descriptor.m_KeepDims = true; |
| 1361 | |
| 1362 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1363 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1364 | armnn::IConnectableLayer* const meanLayer = network->AddMeanLayer(descriptor, layerName.c_str()); |
| 1365 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1366 | |
| 1367 | inputLayer->GetOutputSlot(0).Connect(meanLayer->GetInputSlot(0)); |
| 1368 | meanLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1369 | |
| 1370 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1371 | meanLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1372 | |
| 1373 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1374 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1375 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1376 | LayerVerifierBaseWithDescriptor<armnn::MeanDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, descriptor); |
| 1377 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1378 | } |
| 1379 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1380 | TEST_CASE("SerializeMerge") |
Nattapat Chaimanowong | 1f88630 | 2019-04-05 13:37:19 +0100 | [diff] [blame] | 1381 | { |
Nattapat Chaimanowong | 1f88630 | 2019-04-05 13:37:19 +0100 | [diff] [blame] | 1382 | const std::string layerName("merge"); |
| 1383 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 1384 | |
| 1385 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1386 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1387 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1388 | armnn::IConnectableLayer* const mergeLayer = network->AddMergeLayer(layerName.c_str()); |
| 1389 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1390 | |
| 1391 | inputLayer0->GetOutputSlot(0).Connect(mergeLayer->GetInputSlot(0)); |
| 1392 | inputLayer1->GetOutputSlot(0).Connect(mergeLayer->GetInputSlot(1)); |
| 1393 | mergeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1394 | |
| 1395 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1396 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 1397 | mergeLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1398 | |
| 1399 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1400 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 1f88630 | 2019-04-05 13:37:19 +0100 | [diff] [blame] | 1401 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1402 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 1403 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 1f88630 | 2019-04-05 13:37:19 +0100 | [diff] [blame] | 1404 | } |
| 1405 | |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1406 | class MergerLayerVerifier : public LayerVerifierBaseWithDescriptor<armnn::OriginsDescriptor> |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1407 | { |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1408 | public: |
| 1409 | MergerLayerVerifier(const std::string& layerName, |
| 1410 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 1411 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 1412 | const armnn::OriginsDescriptor& descriptor) |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1413 | : LayerVerifierBaseWithDescriptor<armnn::OriginsDescriptor>(layerName, inputInfos, outputInfos, descriptor) {} |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1414 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1415 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 1416 | const armnn::BaseDescriptor& descriptor, |
| 1417 | const std::vector<armnn::ConstTensor>& constants, |
| 1418 | const char* name, |
| 1419 | const armnn::LayerBindingId id = 0) override |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1420 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1421 | armnn::IgnoreUnused(descriptor, constants, id); |
| 1422 | switch (layer->GetType()) |
| 1423 | { |
| 1424 | case armnn::LayerType::Input: break; |
| 1425 | case armnn::LayerType::Output: break; |
| 1426 | case armnn::LayerType::Merge: |
| 1427 | { |
| 1428 | throw armnn::Exception("MergerLayer should have translated to ConcatLayer"); |
| 1429 | break; |
| 1430 | } |
| 1431 | case armnn::LayerType::Concat: |
| 1432 | { |
| 1433 | VerifyNameAndConnections(layer, name); |
| 1434 | const armnn::MergerDescriptor& layerDescriptor = |
| 1435 | static_cast<const armnn::MergerDescriptor&>(descriptor); |
| 1436 | VerifyDescriptor(layerDescriptor); |
| 1437 | break; |
| 1438 | } |
| 1439 | default: |
| 1440 | { |
| 1441 | throw armnn::Exception("Unexpected layer type in Merge test model"); |
| 1442 | } |
| 1443 | } |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1444 | } |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1445 | }; |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1446 | |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1447 | // NOTE: Until the deprecated AddMergerLayer disappears this test checks that calling |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1448 | // AddMergerLayer places a ConcatLayer into the serialized format and that |
| 1449 | // when this deserialises we have a ConcatLayer |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1450 | TEST_CASE("SerializeMerger") |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1451 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1452 | const std::string layerName("merger"); |
| 1453 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({2, 3, 2, 2}, armnn::DataType::Float32); |
| 1454 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({4, 3, 2, 2}, armnn::DataType::Float32); |
| 1455 | |
| 1456 | const std::vector<armnn::TensorShape> shapes({inputInfo.GetShape(), inputInfo.GetShape()}); |
| 1457 | |
| 1458 | armnn::OriginsDescriptor descriptor = |
Jim Flynn | 825af45 | 2019-05-20 12:49:28 +0100 | [diff] [blame] | 1459 | armnn::CreateDescriptorForConcatenation(shapes.begin(), shapes.end(), 0); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1460 | |
| 1461 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1462 | armnn::IConnectableLayer* const inputLayerOne = network->AddInputLayer(0); |
| 1463 | armnn::IConnectableLayer* const inputLayerTwo = network->AddInputLayer(1); |
Jim Flynn | 906f946 | 2019-05-10 13:55:21 +0100 | [diff] [blame] | 1464 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1465 | armnn::IConnectableLayer* const mergerLayer = network->AddMergerLayer(descriptor, layerName.c_str()); |
Jim Flynn | 906f946 | 2019-05-10 13:55:21 +0100 | [diff] [blame] | 1466 | ARMNN_NO_DEPRECATE_WARN_END |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1467 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1468 | |
| 1469 | inputLayerOne->GetOutputSlot(0).Connect(mergerLayer->GetInputSlot(0)); |
| 1470 | inputLayerTwo->GetOutputSlot(0).Connect(mergerLayer->GetInputSlot(1)); |
| 1471 | mergerLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1472 | |
| 1473 | inputLayerOne->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1474 | inputLayerTwo->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1475 | mergerLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1476 | |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1477 | std::string mergerLayerNetwork = SerializeNetwork(*network); |
| 1478 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(mergerLayerNetwork); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1479 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1480 | |
| 1481 | MergerLayerVerifier verifier(layerName, {inputInfo, inputInfo}, {outputInfo}, descriptor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1482 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1483 | } |
| 1484 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1485 | TEST_CASE("EnsureMergerLayerBackwardCompatibility") |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1486 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1487 | // 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] | 1488 | // a merger layer (now deprecated) and an output layer with dimensions as per the tensor infos below. |
| 1489 | // |
| 1490 | // This test verifies that we can still read back these old style |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1491 | // models replacing the MergerLayers with ConcatLayers with the same parameters. |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1492 | const std::vector<uint8_t> mergerModel = |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1493 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1494 | 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, |
| 1495 | 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 1496 | 0x38, 0x02, 0x00, 0x00, 0x8C, 0x01, 0x00, 0x00, 0x70, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1497 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 1498 | 0xF4, 0xFD, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, 0x04, 0x00, 0x00, 0x00, 0x92, 0xFE, 0xFF, 0xFF, 0x04, 0x00, |
| 1499 | 0x00, 0x00, 0x9A, 0xFE, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x7E, 0xFE, 0xFF, 0xFF, 0x03, 0x00, 0x00, 0x00, |
| 1500 | 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1501 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1502 | 0xF8, 0xFE, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x48, 0xFE, 0xFF, 0xFF, 0x00, 0x00, |
| 1503 | 0x00, 0x1F, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 1504 | 0x68, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, |
| 1505 | 0x0C, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 1506 | 0x02, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x22, 0xFF, 0xFF, 0xFF, 0x04, 0x00, |
| 1507 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1508 | 0x00, 0x00, 0x00, 0x00, 0x3E, 0xFF, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1509 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x36, 0xFF, 0xFF, 0xFF, |
| 1510 | 0x02, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x1E, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1C, 0x00, |
| 1511 | 0x00, 0x00, 0x06, 0x00, 0x00, 0x00, 0x6D, 0x65, 0x72, 0x67, 0x65, 0x72, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, |
| 1512 | 0x5C, 0x00, 0x00, 0x00, 0x40, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x34, 0xFF, |
| 1513 | 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x92, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, |
| 1514 | 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1515 | 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 1516 | 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x00, 0x00, |
| 1517 | 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0E, 0x00, |
| 1518 | 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1519 | 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0E, 0x00, |
| 1520 | 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1521 | 0x0E, 0x00, 0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x14, 0x00, 0x0E, 0x00, 0x00, 0x00, |
| 1522 | 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, |
| 1523 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, |
| 1524 | 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 1525 | 0x00, 0x00, 0x66, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1526 | 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1527 | 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, |
| 1528 | 0x04, 0x00, 0x00, 0x00, 0xF6, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x0A, 0x00, |
| 1529 | 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x14, 0x00, 0x00, 0x00, |
| 1530 | 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x0E, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, |
| 1531 | 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1532 | 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0A, 0x00, 0x00, 0x00, |
| 1533 | 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x08, 0x00, |
| 1534 | 0x07, 0x00, 0x0C, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1535 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, |
| 1536 | 0x02, 0x00, 0x00, 0x00 |
| 1537 | }; |
| 1538 | |
| 1539 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(std::string(mergerModel.begin(), mergerModel.end())); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1540 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1541 | |
| 1542 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({ 2, 3, 2, 2 }, armnn::DataType::Float32); |
| 1543 | 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] | 1544 | |
| 1545 | const std::vector<armnn::TensorShape> shapes({inputInfo.GetShape(), inputInfo.GetShape()}); |
| 1546 | |
| 1547 | armnn::OriginsDescriptor descriptor = |
Jim Flynn | 825af45 | 2019-05-20 12:49:28 +0100 | [diff] [blame] | 1548 | armnn::CreateDescriptorForConcatenation(shapes.begin(), shapes.end(), 0); |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1549 | |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1550 | MergerLayerVerifier verifier("merger", { inputInfo, inputInfo }, { outputInfo }, descriptor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1551 | deserializedNetwork->ExecuteStrategy(verifier); |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1552 | } |
| 1553 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1554 | TEST_CASE("SerializeConcat") |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1555 | { |
| 1556 | const std::string layerName("concat"); |
| 1557 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({2, 3, 2, 2}, armnn::DataType::Float32); |
| 1558 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({4, 3, 2, 2}, armnn::DataType::Float32); |
| 1559 | |
| 1560 | const std::vector<armnn::TensorShape> shapes({inputInfo.GetShape(), inputInfo.GetShape()}); |
| 1561 | |
| 1562 | armnn::OriginsDescriptor descriptor = |
| 1563 | armnn::CreateDescriptorForConcatenation(shapes.begin(), shapes.end(), 0); |
| 1564 | |
| 1565 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1566 | armnn::IConnectableLayer* const inputLayerOne = network->AddInputLayer(0); |
| 1567 | armnn::IConnectableLayer* const inputLayerTwo = network->AddInputLayer(1); |
| 1568 | armnn::IConnectableLayer* const concatLayer = network->AddConcatLayer(descriptor, layerName.c_str()); |
| 1569 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1570 | |
| 1571 | inputLayerOne->GetOutputSlot(0).Connect(concatLayer->GetInputSlot(0)); |
| 1572 | inputLayerTwo->GetOutputSlot(0).Connect(concatLayer->GetInputSlot(1)); |
| 1573 | concatLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1574 | |
| 1575 | inputLayerOne->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1576 | inputLayerTwo->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1577 | concatLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1578 | |
| 1579 | std::string concatLayerNetwork = SerializeNetwork(*network); |
| 1580 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(concatLayerNetwork); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1581 | CHECK(deserializedNetwork); |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1582 | |
| 1583 | // NOTE: using the MergerLayerVerifier to ensure that it is a concat layer and not a |
| 1584 | // merger layer that gets placed into the graph. |
| 1585 | MergerLayerVerifier verifier(layerName, {inputInfo, inputInfo}, {outputInfo}, descriptor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1586 | deserializedNetwork->ExecuteStrategy(verifier); |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1587 | } |
| 1588 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1589 | TEST_CASE("SerializeMinimum") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1590 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1591 | const std::string layerName("minimum"); |
| 1592 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 1593 | |
| 1594 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1595 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1596 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1597 | armnn::IConnectableLayer* const minimumLayer = network->AddMinimumLayer(layerName.c_str()); |
| 1598 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1599 | |
| 1600 | inputLayer0->GetOutputSlot(0).Connect(minimumLayer->GetInputSlot(0)); |
| 1601 | inputLayer1->GetOutputSlot(0).Connect(minimumLayer->GetInputSlot(1)); |
| 1602 | minimumLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1603 | |
| 1604 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1605 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 1606 | minimumLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1607 | |
| 1608 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1609 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1610 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1611 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 1612 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1613 | } |
| 1614 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1615 | TEST_CASE("SerializeMultiplication") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1616 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1617 | const std::string layerName("multiplication"); |
| 1618 | const armnn::TensorInfo info({ 1, 5, 2, 3 }, armnn::DataType::Float32); |
| 1619 | |
| 1620 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1621 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1622 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1623 | armnn::IConnectableLayer* const multiplicationLayer = network->AddMultiplicationLayer(layerName.c_str()); |
| 1624 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1625 | |
| 1626 | inputLayer0->GetOutputSlot(0).Connect(multiplicationLayer->GetInputSlot(0)); |
| 1627 | inputLayer1->GetOutputSlot(0).Connect(multiplicationLayer->GetInputSlot(1)); |
| 1628 | multiplicationLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1629 | |
| 1630 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1631 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 1632 | multiplicationLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1633 | |
| 1634 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1635 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1636 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1637 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 1638 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1639 | } |
| 1640 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1641 | TEST_CASE("SerializePrelu") |
Ellen Norris-Thompson | 5198247 | 2019-06-19 11:46:21 +0100 | [diff] [blame] | 1642 | { |
Ellen Norris-Thompson | 5198247 | 2019-06-19 11:46:21 +0100 | [diff] [blame] | 1643 | const std::string layerName("prelu"); |
| 1644 | |
| 1645 | armnn::TensorInfo inputTensorInfo ({ 4, 1, 2 }, armnn::DataType::Float32); |
| 1646 | armnn::TensorInfo alphaTensorInfo ({ 5, 4, 3, 1 }, armnn::DataType::Float32); |
| 1647 | armnn::TensorInfo outputTensorInfo({ 5, 4, 3, 2 }, armnn::DataType::Float32); |
| 1648 | |
| 1649 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1650 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1651 | armnn::IConnectableLayer* const alphaLayer = network->AddInputLayer(1); |
| 1652 | armnn::IConnectableLayer* const preluLayer = network->AddPreluLayer(layerName.c_str()); |
| 1653 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1654 | |
| 1655 | inputLayer->GetOutputSlot(0).Connect(preluLayer->GetInputSlot(0)); |
| 1656 | alphaLayer->GetOutputSlot(0).Connect(preluLayer->GetInputSlot(1)); |
| 1657 | preluLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1658 | |
| 1659 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 1660 | alphaLayer->GetOutputSlot(0).SetTensorInfo(alphaTensorInfo); |
| 1661 | preluLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1662 | |
| 1663 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1664 | CHECK(deserializedNetwork); |
Ellen Norris-Thompson | 5198247 | 2019-06-19 11:46:21 +0100 | [diff] [blame] | 1665 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1666 | LayerVerifierBase verifier(layerName, {inputTensorInfo, alphaTensorInfo}, {outputTensorInfo}); |
| 1667 | deserializedNetwork->ExecuteStrategy(verifier); |
Ellen Norris-Thompson | 5198247 | 2019-06-19 11:46:21 +0100 | [diff] [blame] | 1668 | } |
| 1669 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1670 | TEST_CASE("SerializeNormalization") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1671 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1672 | const std::string layerName("normalization"); |
| 1673 | const armnn::TensorInfo info({2, 1, 2, 2}, armnn::DataType::Float32); |
| 1674 | |
| 1675 | armnn::NormalizationDescriptor desc; |
| 1676 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 1677 | desc.m_NormSize = 3; |
| 1678 | desc.m_Alpha = 1; |
| 1679 | desc.m_Beta = 1; |
| 1680 | desc.m_K = 1; |
| 1681 | |
| 1682 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1683 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1684 | armnn::IConnectableLayer* const normalizationLayer = network->AddNormalizationLayer(desc, layerName.c_str()); |
| 1685 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1686 | |
| 1687 | inputLayer->GetOutputSlot(0).Connect(normalizationLayer->GetInputSlot(0)); |
| 1688 | normalizationLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1689 | |
| 1690 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1691 | normalizationLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1692 | |
| 1693 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1694 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1695 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1696 | LayerVerifierBaseWithDescriptor<armnn::NormalizationDescriptor> verifier(layerName, {info}, {info}, 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("SerializePad") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1701 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1702 | const std::string layerName("pad"); |
| 1703 | const armnn::TensorInfo inputTensorInfo = armnn::TensorInfo({1, 2, 3, 4}, armnn::DataType::Float32); |
| 1704 | const armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 5, 7}, armnn::DataType::Float32); |
| 1705 | |
| 1706 | armnn::PadDescriptor desc({{0, 0}, {1, 0}, {1, 1}, {1, 2}}); |
| 1707 | |
| 1708 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1709 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1710 | armnn::IConnectableLayer* const padLayer = network->AddPadLayer(desc, layerName.c_str()); |
| 1711 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1712 | |
| 1713 | inputLayer->GetOutputSlot(0).Connect(padLayer->GetInputSlot(0)); |
| 1714 | padLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1715 | |
| 1716 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 1717 | padLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1718 | |
| 1719 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1720 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1721 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1722 | LayerVerifierBaseWithDescriptor<armnn::PadDescriptor> verifier(layerName, |
| 1723 | {inputTensorInfo}, |
| 1724 | {outputTensorInfo}, |
| 1725 | desc); |
| 1726 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1727 | } |
| 1728 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1729 | TEST_CASE("EnsurePadBackwardCompatibility") |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1730 | { |
| 1731 | // The PadDescriptor is being extended with a float PadValue (so a value other than 0 |
| 1732 | // can be used to pad the tensor. |
| 1733 | // |
| 1734 | // This test contains a binary representation of a simple input->pad->output network |
| 1735 | // prior to this change to test that the descriptor has been updated in a backward |
| 1736 | // compatible way with respect to Deserialization of older binary dumps |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1737 | const std::vector<uint8_t> padModel = |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1738 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1739 | 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, |
| 1740 | 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 1741 | 0x54, 0x01, 0x00, 0x00, 0x6C, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1742 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0xD0, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, |
| 1743 | 0x04, 0x00, 0x00, 0x00, 0x96, 0xFF, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x9E, 0xFF, 0xFF, 0xFF, 0x04, 0x00, |
| 1744 | 0x00, 0x00, 0x72, 0xFF, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 1745 | 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, |
| 1746 | 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x2C, 0xFF, 0xFF, 0xFF, 0x01, 0x00, 0x00, 0x00, |
| 1747 | 0x00, 0x00, 0x00, 0x00, 0x24, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x16, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, |
| 1748 | 0x0E, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x4C, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, |
| 1749 | 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x08, 0x00, |
| 1750 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1751 | 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1752 | 0x0E, 0x00, 0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x14, 0x00, 0x0E, 0x00, 0x00, 0x00, |
| 1753 | 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, |
| 1754 | 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x70, 0x61, 0x64, 0x00, 0x01, 0x00, 0x00, 0x00, 0x48, 0x00, 0x00, 0x00, |
| 1755 | 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, |
| 1756 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x52, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, |
| 1757 | 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x05, 0x00, |
| 1758 | 0x00, 0x00, 0x07, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 1759 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, |
| 1760 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x04, 0x00, 0x00, 0x00, 0xF6, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, |
| 1761 | 0x00, 0x00, 0x06, 0x00, 0x0A, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1762 | 0x0E, 0x00, 0x14, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x0E, 0x00, 0x00, 0x00, |
| 1763 | 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1764 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, |
| 1765 | 0x08, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1766 | 0x0A, 0x00, 0x10, 0x00, 0x08, 0x00, 0x07, 0x00, 0x0C, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, |
| 1767 | 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1768 | 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x00 |
| 1769 | }; |
| 1770 | |
| 1771 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(std::string(padModel.begin(), padModel.end())); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1772 | CHECK(deserializedNetwork); |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1773 | |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1774 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({ 1, 2, 3, 4 }, armnn::DataType::Float32); |
| 1775 | 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] | 1776 | |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1777 | armnn::PadDescriptor descriptor({{ 0, 0 }, { 1, 0 }, { 1, 1 }, { 1, 2 }}); |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1778 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1779 | LayerVerifierBaseWithDescriptor<armnn::PadDescriptor> verifier("pad", { inputInfo }, { outputInfo }, descriptor); |
| 1780 | deserializedNetwork->ExecuteStrategy(verifier); |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1781 | } |
| 1782 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1783 | TEST_CASE("SerializePermute") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1784 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1785 | const std::string layerName("permute"); |
| 1786 | const armnn::TensorInfo inputTensorInfo({4, 3, 2, 1}, armnn::DataType::Float32); |
| 1787 | const armnn::TensorInfo outputTensorInfo({1, 2, 3, 4}, armnn::DataType::Float32); |
| 1788 | |
| 1789 | armnn::PermuteDescriptor descriptor(armnn::PermutationVector({3, 2, 1, 0})); |
| 1790 | |
| 1791 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1792 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1793 | armnn::IConnectableLayer* const permuteLayer = network->AddPermuteLayer(descriptor, layerName.c_str()); |
| 1794 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1795 | |
| 1796 | inputLayer->GetOutputSlot(0).Connect(permuteLayer->GetInputSlot(0)); |
| 1797 | permuteLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1798 | |
| 1799 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 1800 | permuteLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1801 | |
| 1802 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1803 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1804 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1805 | LayerVerifierBaseWithDescriptor<armnn::PermuteDescriptor> verifier( |
| 1806 | layerName, {inputTensorInfo}, {outputTensorInfo}, descriptor); |
| 1807 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1808 | } |
| 1809 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1810 | TEST_CASE("SerializePooling2d") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1811 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1812 | const std::string layerName("pooling2d"); |
| 1813 | const armnn::TensorInfo inputInfo({1, 2, 2, 1}, armnn::DataType::Float32); |
| 1814 | const armnn::TensorInfo outputInfo({1, 1, 1, 1}, armnn::DataType::Float32); |
| 1815 | |
| 1816 | armnn::Pooling2dDescriptor desc; |
| 1817 | desc.m_DataLayout = armnn::DataLayout::NHWC; |
| 1818 | desc.m_PadTop = 0; |
| 1819 | desc.m_PadBottom = 0; |
| 1820 | desc.m_PadLeft = 0; |
| 1821 | desc.m_PadRight = 0; |
| 1822 | desc.m_PoolType = armnn::PoolingAlgorithm::Average; |
| 1823 | desc.m_OutputShapeRounding = armnn::OutputShapeRounding::Floor; |
| 1824 | desc.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 1825 | desc.m_PoolHeight = 2; |
| 1826 | desc.m_PoolWidth = 2; |
| 1827 | desc.m_StrideX = 2; |
| 1828 | desc.m_StrideY = 2; |
| 1829 | |
| 1830 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1831 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1832 | armnn::IConnectableLayer* const pooling2dLayer = network->AddPooling2dLayer(desc, layerName.c_str()); |
| 1833 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1834 | |
| 1835 | inputLayer->GetOutputSlot(0).Connect(pooling2dLayer->GetInputSlot(0)); |
| 1836 | pooling2dLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1837 | |
| 1838 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1839 | pooling2dLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1840 | |
| 1841 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1842 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1843 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1844 | LayerVerifierBaseWithDescriptor<armnn::Pooling2dDescriptor> verifier( |
| 1845 | layerName, {inputInfo}, {outputInfo}, desc); |
| 1846 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1847 | } |
| 1848 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1849 | TEST_CASE("SerializeQuantize") |
Derek Lamberti | 87acb27 | 2019-03-27 16:51:31 +0000 | [diff] [blame] | 1850 | { |
Derek Lamberti | 87acb27 | 2019-03-27 16:51:31 +0000 | [diff] [blame] | 1851 | const std::string layerName("quantize"); |
| 1852 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 1853 | |
| 1854 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1855 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1856 | armnn::IConnectableLayer* const quantizeLayer = network->AddQuantizeLayer(layerName.c_str()); |
| 1857 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1858 | |
| 1859 | inputLayer->GetOutputSlot(0).Connect(quantizeLayer->GetInputSlot(0)); |
| 1860 | quantizeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1861 | |
| 1862 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1863 | quantizeLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1864 | |
| 1865 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1866 | CHECK(deserializedNetwork); |
Derek Lamberti | 87acb27 | 2019-03-27 16:51:31 +0000 | [diff] [blame] | 1867 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1868 | LayerVerifierBase verifier(layerName, {info}, {info}); |
| 1869 | deserializedNetwork->ExecuteStrategy(verifier); |
Derek Lamberti | 87acb27 | 2019-03-27 16:51:31 +0000 | [diff] [blame] | 1870 | } |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1871 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1872 | TEST_CASE("SerializeRank") |
Finn Williams | 2605b23 | 2020-06-10 15:53:46 +0100 | [diff] [blame] | 1873 | { |
Finn Williams | 2605b23 | 2020-06-10 15:53:46 +0100 | [diff] [blame] | 1874 | const std::string layerName("rank"); |
| 1875 | const armnn::TensorInfo inputInfo({1, 9}, armnn::DataType::Float32); |
| 1876 | const armnn::TensorInfo outputInfo({1}, armnn::DataType::Signed32); |
| 1877 | |
| 1878 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1879 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1880 | armnn::IConnectableLayer* const rankLayer = network->AddRankLayer(layerName.c_str()); |
| 1881 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1882 | |
| 1883 | inputLayer->GetOutputSlot(0).Connect(rankLayer->GetInputSlot(0)); |
| 1884 | rankLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1885 | |
| 1886 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1887 | rankLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1888 | |
| 1889 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1890 | CHECK(deserializedNetwork); |
Finn Williams | 2605b23 | 2020-06-10 15:53:46 +0100 | [diff] [blame] | 1891 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1892 | LayerVerifierBase verifier(layerName, {inputInfo}, {outputInfo}); |
| 1893 | deserializedNetwork->ExecuteStrategy(verifier); |
Finn Williams | 2605b23 | 2020-06-10 15:53:46 +0100 | [diff] [blame] | 1894 | } |
| 1895 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1896 | TEST_CASE("SerializeReduceSum") |
Sadik Armagan | 0c3ea5b | 2021-02-03 09:29:30 +0000 | [diff] [blame] | 1897 | { |
Sadik Armagan | 0c3ea5b | 2021-02-03 09:29:30 +0000 | [diff] [blame] | 1898 | const std::string layerName("Reduce_Sum"); |
| 1899 | const armnn::TensorInfo inputInfo({1, 1, 3, 2}, armnn::DataType::Float32); |
| 1900 | const armnn::TensorInfo outputInfo({1, 1, 1, 2}, armnn::DataType::Float32); |
| 1901 | |
| 1902 | armnn::ReduceDescriptor descriptor; |
| 1903 | descriptor.m_vAxis = { 2 }; |
| 1904 | descriptor.m_ReduceOperation = armnn::ReduceOperation::Sum; |
| 1905 | |
| 1906 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1907 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1908 | armnn::IConnectableLayer* const reduceSumLayer = network->AddReduceLayer(descriptor, layerName.c_str()); |
| 1909 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1910 | |
| 1911 | inputLayer->GetOutputSlot(0).Connect(reduceSumLayer->GetInputSlot(0)); |
| 1912 | reduceSumLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1913 | |
| 1914 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1915 | reduceSumLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1916 | |
| 1917 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1918 | CHECK(deserializedNetwork); |
Sadik Armagan | 0c3ea5b | 2021-02-03 09:29:30 +0000 | [diff] [blame] | 1919 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1920 | LayerVerifierBaseWithDescriptor<armnn::ReduceDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, descriptor); |
| 1921 | deserializedNetwork->ExecuteStrategy(verifier); |
Sadik Armagan | 0c3ea5b | 2021-02-03 09:29:30 +0000 | [diff] [blame] | 1922 | } |
| 1923 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1924 | TEST_CASE("SerializeReshape") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1925 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1926 | const std::string layerName("reshape"); |
| 1927 | const armnn::TensorInfo inputInfo({1, 9}, armnn::DataType::Float32); |
| 1928 | const armnn::TensorInfo outputInfo({3, 3}, armnn::DataType::Float32); |
| 1929 | |
| 1930 | armnn::ReshapeDescriptor descriptor({3, 3}); |
| 1931 | |
| 1932 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1933 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1934 | armnn::IConnectableLayer* const reshapeLayer = network->AddReshapeLayer(descriptor, layerName.c_str()); |
| 1935 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1936 | |
| 1937 | inputLayer->GetOutputSlot(0).Connect(reshapeLayer->GetInputSlot(0)); |
| 1938 | reshapeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1939 | |
| 1940 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1941 | reshapeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1942 | |
| 1943 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1944 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1945 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1946 | LayerVerifierBaseWithDescriptor<armnn::ReshapeDescriptor> verifier( |
| 1947 | layerName, {inputInfo}, {outputInfo}, descriptor); |
| 1948 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1949 | } |
| 1950 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1951 | TEST_CASE("SerializeResize") |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 1952 | { |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 1953 | const std::string layerName("resize"); |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 1954 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({1, 3, 5, 5}, armnn::DataType::Float32); |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 1955 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({1, 3, 2, 4}, armnn::DataType::Float32); |
| 1956 | |
| 1957 | armnn::ResizeDescriptor desc; |
Aron Virginas-Tar | 169d2f1 | 2019-07-01 19:01:44 +0100 | [diff] [blame] | 1958 | desc.m_TargetWidth = 4; |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 1959 | desc.m_TargetHeight = 2; |
Aron Virginas-Tar | 169d2f1 | 2019-07-01 19:01:44 +0100 | [diff] [blame] | 1960 | desc.m_Method = armnn::ResizeMethod::NearestNeighbor; |
David Monahan | 4a0c9b9 | 2020-05-30 09:48:39 +0100 | [diff] [blame] | 1961 | desc.m_AlignCorners = true; |
| 1962 | desc.m_HalfPixelCenters = true; |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 1963 | |
| 1964 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1965 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1966 | armnn::IConnectableLayer* const resizeLayer = network->AddResizeLayer(desc, layerName.c_str()); |
| 1967 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1968 | |
| 1969 | inputLayer->GetOutputSlot(0).Connect(resizeLayer->GetInputSlot(0)); |
| 1970 | resizeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1971 | |
| 1972 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1973 | resizeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1974 | |
| 1975 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1976 | CHECK(deserializedNetwork); |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 1977 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1978 | LayerVerifierBaseWithDescriptor<armnn::ResizeDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, desc); |
| 1979 | deserializedNetwork->ExecuteStrategy(verifier); |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 1980 | } |
| 1981 | |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 1982 | class ResizeBilinearLayerVerifier : public LayerVerifierBaseWithDescriptor<armnn::ResizeBilinearDescriptor> |
| 1983 | { |
| 1984 | public: |
| 1985 | ResizeBilinearLayerVerifier(const std::string& layerName, |
| 1986 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 1987 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 1988 | const armnn::ResizeBilinearDescriptor& descriptor) |
| 1989 | : LayerVerifierBaseWithDescriptor<armnn::ResizeBilinearDescriptor>( |
| 1990 | layerName, inputInfos, outputInfos, descriptor) {} |
| 1991 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1992 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 1993 | const armnn::BaseDescriptor& descriptor, |
| 1994 | const std::vector<armnn::ConstTensor>& constants, |
| 1995 | const char* name, |
| 1996 | const armnn::LayerBindingId id = 0) override |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 1997 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1998 | armnn::IgnoreUnused(descriptor, constants, id); |
| 1999 | switch (layer->GetType()) |
| 2000 | { |
| 2001 | case armnn::LayerType::Input: break; |
| 2002 | case armnn::LayerType::Output: break; |
| 2003 | case armnn::LayerType::Resize: |
| 2004 | { |
| 2005 | VerifyNameAndConnections(layer, name); |
| 2006 | const armnn::ResizeDescriptor& layerDescriptor = |
| 2007 | static_cast<const armnn::ResizeDescriptor&>(descriptor); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2008 | CHECK(layerDescriptor.m_Method == armnn::ResizeMethod::Bilinear); |
| 2009 | CHECK(layerDescriptor.m_TargetWidth == m_Descriptor.m_TargetWidth); |
| 2010 | CHECK(layerDescriptor.m_TargetHeight == m_Descriptor.m_TargetHeight); |
| 2011 | CHECK(layerDescriptor.m_DataLayout == m_Descriptor.m_DataLayout); |
| 2012 | CHECK(layerDescriptor.m_AlignCorners == m_Descriptor.m_AlignCorners); |
| 2013 | CHECK(layerDescriptor.m_HalfPixelCenters == m_Descriptor.m_HalfPixelCenters); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2014 | break; |
| 2015 | } |
| 2016 | default: |
| 2017 | { |
| 2018 | throw armnn::Exception("Unexpected layer type in test model. ResizeBiliniar " |
| 2019 | "should have translated to Resize"); |
| 2020 | } |
| 2021 | } |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2022 | } |
| 2023 | }; |
| 2024 | |
| 2025 | // NOTE: Until the deprecated AddResizeBilinearLayer disappears this test checks that |
| 2026 | // calling AddResizeBilinearLayer places a ResizeLayer into the serialized format |
| 2027 | // and that when this deserialises we have a ResizeLayer |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2028 | TEST_CASE("SerializeResizeBilinear") |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2029 | { |
| 2030 | const std::string layerName("resizeBilinear"); |
| 2031 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({1, 3, 5, 5}, armnn::DataType::Float32); |
| 2032 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({1, 3, 2, 4}, armnn::DataType::Float32); |
| 2033 | |
| 2034 | armnn::ResizeBilinearDescriptor desc; |
| 2035 | desc.m_TargetWidth = 4u; |
| 2036 | desc.m_TargetHeight = 2u; |
David Monahan | 4a0c9b9 | 2020-05-30 09:48:39 +0100 | [diff] [blame] | 2037 | desc.m_AlignCorners = true; |
| 2038 | desc.m_HalfPixelCenters = true; |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2039 | |
| 2040 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2041 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2042 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
| 2043 | armnn::IConnectableLayer* const resizeLayer = network->AddResizeBilinearLayer(desc, layerName.c_str()); |
| 2044 | ARMNN_NO_DEPRECATE_WARN_END |
| 2045 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2046 | |
| 2047 | inputLayer->GetOutputSlot(0).Connect(resizeLayer->GetInputSlot(0)); |
| 2048 | resizeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2049 | |
| 2050 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2051 | resizeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2052 | |
| 2053 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2054 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2055 | |
| 2056 | ResizeBilinearLayerVerifier verifier(layerName, {inputInfo}, {outputInfo}, desc); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2057 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2058 | } |
| 2059 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2060 | TEST_CASE("EnsureResizeBilinearBackwardCompatibility") |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2061 | { |
| 2062 | // The hex data below is a flat buffer containing a simple network with an input, |
| 2063 | // a ResizeBilinearLayer (now deprecated) and an output |
| 2064 | // |
| 2065 | // This test verifies that we can still deserialize this old-style model by replacing |
| 2066 | // the ResizeBilinearLayer with an equivalent ResizeLayer |
| 2067 | const std::vector<uint8_t> resizeBilinearModel = |
| 2068 | { |
| 2069 | 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, |
| 2070 | 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 2071 | 0x50, 0x01, 0x00, 0x00, 0x74, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2072 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0xD4, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, |
| 2073 | 0x04, 0x00, 0x00, 0x00, 0xC2, 0xFE, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, |
| 2074 | 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x8A, 0xFF, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, |
| 2075 | 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2076 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2077 | 0x38, 0xFF, 0xFF, 0xFF, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x30, 0xFF, 0xFF, 0xFF, 0x00, 0x00, |
| 2078 | 0x00, 0x1A, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0E, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 2079 | 0x34, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x12, 0x00, 0x08, 0x00, 0x0C, 0x00, |
| 2080 | 0x07, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, |
| 2081 | 0x00, 0x00, 0x0E, 0x00, 0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x14, 0x00, 0x0E, 0x00, |
| 2082 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x19, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, |
| 2083 | 0x20, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x00, 0x00, 0x72, 0x65, 0x73, 0x69, 0x7A, 0x65, 0x42, 0x69, 0x6C, 0x69, |
| 2084 | 0x6E, 0x65, 0x61, 0x72, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x48, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, |
| 2085 | 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 2086 | 0x00, 0x00, 0x52, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2087 | 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 2088 | 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2089 | 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2090 | 0x00, 0x09, 0x04, 0x00, 0x00, 0x00, 0xF6, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, |
| 2091 | 0x0A, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x14, 0x00, |
| 2092 | 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x0E, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, |
| 2093 | 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2094 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0A, 0x00, |
| 2095 | 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, |
| 2096 | 0x08, 0x00, 0x07, 0x00, 0x0C, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, |
| 2097 | 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x05, 0x00, |
| 2098 | 0x00, 0x00, 0x05, 0x00, 0x00, 0x00 |
| 2099 | }; |
| 2100 | |
| 2101 | armnn::INetworkPtr deserializedNetwork = |
| 2102 | DeserializeNetwork(std::string(resizeBilinearModel.begin(), resizeBilinearModel.end())); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2103 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2104 | |
| 2105 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({1, 3, 5, 5}, armnn::DataType::Float32); |
| 2106 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({1, 3, 2, 4}, armnn::DataType::Float32); |
| 2107 | |
| 2108 | armnn::ResizeBilinearDescriptor descriptor; |
| 2109 | descriptor.m_TargetWidth = 4u; |
| 2110 | descriptor.m_TargetHeight = 2u; |
| 2111 | |
| 2112 | ResizeBilinearLayerVerifier verifier("resizeBilinear", { inputInfo }, { outputInfo }, descriptor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2113 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2114 | } |
| 2115 | |
Keith Davis | 3ae3f97 | 2021-05-21 16:33:48 +0100 | [diff] [blame] | 2116 | TEST_CASE("SerializeShape") |
| 2117 | { |
| 2118 | const std::string layerName("shape"); |
| 2119 | const armnn::TensorInfo inputInfo({1, 3, 3, 1}, armnn::DataType::Signed32); |
| 2120 | const armnn::TensorInfo outputInfo({ 4 }, armnn::DataType::Signed32); |
| 2121 | |
| 2122 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2123 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2124 | armnn::IConnectableLayer* const shapeLayer = network->AddShapeLayer(layerName.c_str()); |
| 2125 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2126 | |
| 2127 | inputLayer->GetOutputSlot(0).Connect(shapeLayer->GetInputSlot(0)); |
| 2128 | shapeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2129 | |
| 2130 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2131 | shapeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2132 | |
| 2133 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 2134 | CHECK(deserializedNetwork); |
| 2135 | |
| 2136 | LayerVerifierBase verifier(layerName, {inputInfo}, {outputInfo}); |
| 2137 | |
| 2138 | deserializedNetwork->ExecuteStrategy(verifier); |
| 2139 | } |
| 2140 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2141 | TEST_CASE("SerializeSlice") |
Aron Virginas-Tar | 2fda80b | 2019-09-18 13:36:52 +0100 | [diff] [blame] | 2142 | { |
Aron Virginas-Tar | 2fda80b | 2019-09-18 13:36:52 +0100 | [diff] [blame] | 2143 | const std::string layerName{"slice"}; |
| 2144 | |
| 2145 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({3, 2, 3, 1}, armnn::DataType::Float32); |
| 2146 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({2, 2, 2, 1}, armnn::DataType::Float32); |
| 2147 | |
| 2148 | armnn::SliceDescriptor descriptor({ 0, 0, 1, 0}, {2, 2, 2, 1}); |
| 2149 | |
| 2150 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2151 | |
| 2152 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2153 | armnn::IConnectableLayer* const sliceLayer = network->AddSliceLayer(descriptor, layerName.c_str()); |
| 2154 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2155 | |
| 2156 | inputLayer->GetOutputSlot(0).Connect(sliceLayer->GetInputSlot(0)); |
| 2157 | sliceLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2158 | |
| 2159 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2160 | sliceLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2161 | |
| 2162 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2163 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | 2fda80b | 2019-09-18 13:36:52 +0100 | [diff] [blame] | 2164 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2165 | LayerVerifierBaseWithDescriptor<armnn::SliceDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, descriptor); |
| 2166 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | 2fda80b | 2019-09-18 13:36:52 +0100 | [diff] [blame] | 2167 | } |
| 2168 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2169 | TEST_CASE("SerializeSoftmax") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2170 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2171 | const std::string layerName("softmax"); |
| 2172 | const armnn::TensorInfo info({1, 10}, armnn::DataType::Float32); |
| 2173 | |
| 2174 | armnn::SoftmaxDescriptor descriptor; |
| 2175 | descriptor.m_Beta = 1.0f; |
| 2176 | |
| 2177 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2178 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2179 | armnn::IConnectableLayer* const softmaxLayer = network->AddSoftmaxLayer(descriptor, layerName.c_str()); |
| 2180 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2181 | |
| 2182 | inputLayer->GetOutputSlot(0).Connect(softmaxLayer->GetInputSlot(0)); |
| 2183 | softmaxLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2184 | |
| 2185 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2186 | softmaxLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2187 | |
| 2188 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2189 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2190 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2191 | LayerVerifierBaseWithDescriptor<armnn::SoftmaxDescriptor> verifier(layerName, {info}, {info}, descriptor); |
| 2192 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2193 | } |
| 2194 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2195 | TEST_CASE("SerializeSpaceToBatchNd") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2196 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2197 | const std::string layerName("spaceToBatchNd"); |
| 2198 | const armnn::TensorInfo inputInfo({2, 1, 2, 4}, armnn::DataType::Float32); |
| 2199 | const armnn::TensorInfo outputInfo({8, 1, 1, 3}, armnn::DataType::Float32); |
| 2200 | |
| 2201 | armnn::SpaceToBatchNdDescriptor desc; |
| 2202 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 2203 | desc.m_BlockShape = {2, 2}; |
| 2204 | desc.m_PadList = {{0, 0}, {2, 0}}; |
| 2205 | |
| 2206 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2207 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2208 | armnn::IConnectableLayer* const spaceToBatchNdLayer = network->AddSpaceToBatchNdLayer(desc, layerName.c_str()); |
| 2209 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2210 | |
| 2211 | inputLayer->GetOutputSlot(0).Connect(spaceToBatchNdLayer->GetInputSlot(0)); |
| 2212 | spaceToBatchNdLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2213 | |
| 2214 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2215 | spaceToBatchNdLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2216 | |
| 2217 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2218 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2219 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2220 | LayerVerifierBaseWithDescriptor<armnn::SpaceToBatchNdDescriptor> verifier( |
| 2221 | layerName, {inputInfo}, {outputInfo}, desc); |
| 2222 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2223 | } |
| 2224 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2225 | TEST_CASE("SerializeSpaceToDepth") |
Aron Virginas-Tar | aa06714 | 2019-06-11 16:01:44 +0100 | [diff] [blame] | 2226 | { |
Aron Virginas-Tar | aa06714 | 2019-06-11 16:01:44 +0100 | [diff] [blame] | 2227 | const std::string layerName("spaceToDepth"); |
| 2228 | |
| 2229 | const armnn::TensorInfo inputInfo ({ 1, 16, 8, 3 }, armnn::DataType::Float32); |
| 2230 | const armnn::TensorInfo outputInfo({ 1, 8, 4, 12 }, armnn::DataType::Float32); |
| 2231 | |
| 2232 | armnn::SpaceToDepthDescriptor desc; |
| 2233 | desc.m_BlockSize = 2; |
| 2234 | desc.m_DataLayout = armnn::DataLayout::NHWC; |
| 2235 | |
| 2236 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2237 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2238 | armnn::IConnectableLayer* const spaceToDepthLayer = network->AddSpaceToDepthLayer(desc, layerName.c_str()); |
| 2239 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2240 | |
| 2241 | inputLayer->GetOutputSlot(0).Connect(spaceToDepthLayer->GetInputSlot(0)); |
| 2242 | spaceToDepthLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2243 | |
| 2244 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2245 | spaceToDepthLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2246 | |
| 2247 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2248 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | aa06714 | 2019-06-11 16:01:44 +0100 | [diff] [blame] | 2249 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2250 | LayerVerifierBaseWithDescriptor<armnn::SpaceToDepthDescriptor> verifier( |
| 2251 | layerName, {inputInfo}, {outputInfo}, desc); |
| 2252 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | aa06714 | 2019-06-11 16:01:44 +0100 | [diff] [blame] | 2253 | } |
| 2254 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2255 | TEST_CASE("SerializeSplitter") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2256 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2257 | const unsigned int numViews = 3; |
| 2258 | const unsigned int numDimensions = 4; |
| 2259 | const unsigned int inputShape[] = {1, 18, 4, 4}; |
| 2260 | const unsigned int outputShape[] = {1, 6, 4, 4}; |
| 2261 | |
| 2262 | // This is modelled on how the caffe parser sets up a splitter layer to partition an input along dimension one. |
| 2263 | unsigned int splitterDimSizes[4] = {static_cast<unsigned int>(inputShape[0]), |
| 2264 | static_cast<unsigned int>(inputShape[1]), |
| 2265 | static_cast<unsigned int>(inputShape[2]), |
| 2266 | static_cast<unsigned int>(inputShape[3])}; |
| 2267 | splitterDimSizes[1] /= numViews; |
| 2268 | armnn::ViewsDescriptor desc(numViews, numDimensions); |
| 2269 | |
| 2270 | for (unsigned int g = 0; g < numViews; ++g) |
| 2271 | { |
| 2272 | desc.SetViewOriginCoord(g, 1, splitterDimSizes[1] * g); |
| 2273 | |
| 2274 | for (unsigned int dimIdx=0; dimIdx < 4; dimIdx++) |
| 2275 | { |
| 2276 | desc.SetViewSize(g, dimIdx, splitterDimSizes[dimIdx]); |
| 2277 | } |
| 2278 | } |
| 2279 | |
| 2280 | const std::string layerName("splitter"); |
| 2281 | const armnn::TensorInfo inputInfo(numDimensions, inputShape, armnn::DataType::Float32); |
| 2282 | const armnn::TensorInfo outputInfo(numDimensions, outputShape, armnn::DataType::Float32); |
| 2283 | |
| 2284 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2285 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2286 | armnn::IConnectableLayer* const splitterLayer = network->AddSplitterLayer(desc, layerName.c_str()); |
| 2287 | armnn::IConnectableLayer* const outputLayer0 = network->AddOutputLayer(0); |
| 2288 | armnn::IConnectableLayer* const outputLayer1 = network->AddOutputLayer(1); |
| 2289 | armnn::IConnectableLayer* const outputLayer2 = network->AddOutputLayer(2); |
| 2290 | |
| 2291 | inputLayer->GetOutputSlot(0).Connect(splitterLayer->GetInputSlot(0)); |
| 2292 | splitterLayer->GetOutputSlot(0).Connect(outputLayer0->GetInputSlot(0)); |
| 2293 | splitterLayer->GetOutputSlot(1).Connect(outputLayer1->GetInputSlot(0)); |
| 2294 | splitterLayer->GetOutputSlot(2).Connect(outputLayer2->GetInputSlot(0)); |
| 2295 | |
| 2296 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2297 | splitterLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2298 | splitterLayer->GetOutputSlot(1).SetTensorInfo(outputInfo); |
| 2299 | splitterLayer->GetOutputSlot(2).SetTensorInfo(outputInfo); |
| 2300 | |
| 2301 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2302 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2303 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2304 | LayerVerifierBaseWithDescriptor<armnn::ViewsDescriptor> verifier( |
| 2305 | layerName, {inputInfo}, {outputInfo, outputInfo, outputInfo}, desc); |
| 2306 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2307 | } |
| 2308 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2309 | TEST_CASE("SerializeStack") |
Matthew Jackson | b5433ee | 2019-07-11 15:54:20 +0100 | [diff] [blame] | 2310 | { |
Matthew Jackson | b5433ee | 2019-07-11 15:54:20 +0100 | [diff] [blame] | 2311 | const std::string layerName("stack"); |
| 2312 | |
| 2313 | armnn::TensorInfo inputTensorInfo ({4, 3, 5}, armnn::DataType::Float32); |
| 2314 | armnn::TensorInfo outputTensorInfo({4, 3, 2, 5}, armnn::DataType::Float32); |
| 2315 | |
| 2316 | armnn::StackDescriptor descriptor(2, 2, {4, 3, 5}); |
| 2317 | |
| 2318 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2319 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(0); |
| 2320 | armnn::IConnectableLayer* const inputLayer2 = network->AddInputLayer(1); |
| 2321 | armnn::IConnectableLayer* const stackLayer = network->AddStackLayer(descriptor, layerName.c_str()); |
| 2322 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2323 | |
| 2324 | inputLayer1->GetOutputSlot(0).Connect(stackLayer->GetInputSlot(0)); |
| 2325 | inputLayer2->GetOutputSlot(0).Connect(stackLayer->GetInputSlot(1)); |
| 2326 | stackLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2327 | |
| 2328 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 2329 | inputLayer2->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 2330 | stackLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 2331 | |
| 2332 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2333 | CHECK(deserializedNetwork); |
Matthew Jackson | b5433ee | 2019-07-11 15:54:20 +0100 | [diff] [blame] | 2334 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2335 | LayerVerifierBaseWithDescriptor<armnn::StackDescriptor> verifier( |
| 2336 | layerName, {inputTensorInfo, inputTensorInfo}, {outputTensorInfo}, descriptor); |
| 2337 | deserializedNetwork->ExecuteStrategy(verifier); |
Matthew Jackson | b5433ee | 2019-07-11 15:54:20 +0100 | [diff] [blame] | 2338 | } |
| 2339 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2340 | TEST_CASE("SerializeStandIn") |
Aron Virginas-Tar | 85121a2 | 2019-10-23 10:41:35 +0100 | [diff] [blame] | 2341 | { |
Aron Virginas-Tar | 85121a2 | 2019-10-23 10:41:35 +0100 | [diff] [blame] | 2342 | const std::string layerName("standIn"); |
| 2343 | |
| 2344 | armnn::TensorInfo tensorInfo({ 1u }, armnn::DataType::Float32); |
| 2345 | armnn::StandInDescriptor descriptor(2u, 2u); |
| 2346 | |
| 2347 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2348 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 2349 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 2350 | armnn::IConnectableLayer* const standInLayer = network->AddStandInLayer(descriptor, layerName.c_str()); |
| 2351 | armnn::IConnectableLayer* const outputLayer0 = network->AddOutputLayer(0); |
| 2352 | armnn::IConnectableLayer* const outputLayer1 = network->AddOutputLayer(1); |
| 2353 | |
| 2354 | inputLayer0->GetOutputSlot(0).Connect(standInLayer->GetInputSlot(0)); |
| 2355 | inputLayer0->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 2356 | |
| 2357 | inputLayer1->GetOutputSlot(0).Connect(standInLayer->GetInputSlot(1)); |
| 2358 | inputLayer1->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 2359 | |
| 2360 | standInLayer->GetOutputSlot(0).Connect(outputLayer0->GetInputSlot(0)); |
| 2361 | standInLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 2362 | |
| 2363 | standInLayer->GetOutputSlot(1).Connect(outputLayer1->GetInputSlot(0)); |
| 2364 | standInLayer->GetOutputSlot(1).SetTensorInfo(tensorInfo); |
| 2365 | |
| 2366 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2367 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | 85121a2 | 2019-10-23 10:41:35 +0100 | [diff] [blame] | 2368 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2369 | LayerVerifierBaseWithDescriptor<armnn::StandInDescriptor> verifier( |
| 2370 | layerName, { tensorInfo, tensorInfo }, { tensorInfo, tensorInfo }, descriptor); |
| 2371 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | 85121a2 | 2019-10-23 10:41:35 +0100 | [diff] [blame] | 2372 | } |
| 2373 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2374 | TEST_CASE("SerializeStridedSlice") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2375 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2376 | const std::string layerName("stridedSlice"); |
| 2377 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({3, 2, 3, 1}, armnn::DataType::Float32); |
| 2378 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({3, 1}, armnn::DataType::Float32); |
| 2379 | |
| 2380 | armnn::StridedSliceDescriptor desc({0, 0, 1, 0}, {1, 1, 1, 1}, {1, 1, 1, 1}); |
| 2381 | desc.m_EndMask = (1 << 4) - 1; |
| 2382 | desc.m_ShrinkAxisMask = (1 << 1) | (1 << 2); |
| 2383 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 2384 | |
| 2385 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2386 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2387 | armnn::IConnectableLayer* const stridedSliceLayer = network->AddStridedSliceLayer(desc, layerName.c_str()); |
| 2388 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2389 | |
| 2390 | inputLayer->GetOutputSlot(0).Connect(stridedSliceLayer->GetInputSlot(0)); |
| 2391 | stridedSliceLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2392 | |
| 2393 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2394 | stridedSliceLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2395 | |
| 2396 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2397 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2398 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2399 | LayerVerifierBaseWithDescriptor<armnn::StridedSliceDescriptor> verifier( |
| 2400 | layerName, {inputInfo}, {outputInfo}, desc); |
| 2401 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2402 | } |
| 2403 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2404 | TEST_CASE("SerializeSubtraction") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2405 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2406 | const std::string layerName("subtraction"); |
| 2407 | const armnn::TensorInfo info({ 1, 4 }, armnn::DataType::Float32); |
| 2408 | |
| 2409 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2410 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 2411 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 2412 | armnn::IConnectableLayer* const subtractionLayer = network->AddSubtractionLayer(layerName.c_str()); |
| 2413 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2414 | |
| 2415 | inputLayer0->GetOutputSlot(0).Connect(subtractionLayer->GetInputSlot(0)); |
| 2416 | inputLayer1->GetOutputSlot(0).Connect(subtractionLayer->GetInputSlot(1)); |
| 2417 | subtractionLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2418 | |
| 2419 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 2420 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 2421 | subtractionLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2422 | |
| 2423 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2424 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2425 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2426 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 2427 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 2428 | } |
| 2429 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2430 | TEST_CASE("SerializeSwitch") |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2431 | { |
| 2432 | class SwitchLayerVerifier : public LayerVerifierBase |
| 2433 | { |
| 2434 | public: |
| 2435 | SwitchLayerVerifier(const std::string& layerName, |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 2436 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 2437 | const std::vector<armnn::TensorInfo>& outputInfos) |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2438 | : LayerVerifierBase(layerName, inputInfos, outputInfos) {} |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2439 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2440 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 2441 | const armnn::BaseDescriptor& descriptor, |
| 2442 | const std::vector<armnn::ConstTensor>& constants, |
| 2443 | const char* name, |
| 2444 | const armnn::LayerBindingId id = 0) override |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2445 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2446 | armnn::IgnoreUnused(descriptor, constants, id); |
| 2447 | switch (layer->GetType()) |
| 2448 | { |
| 2449 | case armnn::LayerType::Input: break; |
| 2450 | case armnn::LayerType::Output: break; |
| 2451 | case armnn::LayerType::Constant: break; |
| 2452 | case armnn::LayerType::Switch: |
| 2453 | { |
| 2454 | VerifyNameAndConnections(layer, name); |
| 2455 | break; |
| 2456 | } |
| 2457 | default: |
| 2458 | { |
| 2459 | throw armnn::Exception("Unexpected layer type in Switch test model"); |
| 2460 | } |
| 2461 | } |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2462 | } |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2463 | }; |
| 2464 | |
| 2465 | const std::string layerName("switch"); |
| 2466 | const armnn::TensorInfo info({ 1, 4 }, armnn::DataType::Float32); |
| 2467 | |
| 2468 | std::vector<float> constantData = GenerateRandomData<float>(info.GetNumElements()); |
| 2469 | armnn::ConstTensor constTensor(info, constantData); |
| 2470 | |
| 2471 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2472 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2473 | armnn::IConnectableLayer* const constantLayer = network->AddConstantLayer(constTensor, "constant"); |
| 2474 | armnn::IConnectableLayer* const switchLayer = network->AddSwitchLayer(layerName.c_str()); |
| 2475 | armnn::IConnectableLayer* const trueOutputLayer = network->AddOutputLayer(0); |
| 2476 | armnn::IConnectableLayer* const falseOutputLayer = network->AddOutputLayer(1); |
| 2477 | |
| 2478 | inputLayer->GetOutputSlot(0).Connect(switchLayer->GetInputSlot(0)); |
| 2479 | constantLayer->GetOutputSlot(0).Connect(switchLayer->GetInputSlot(1)); |
| 2480 | switchLayer->GetOutputSlot(0).Connect(trueOutputLayer->GetInputSlot(0)); |
| 2481 | switchLayer->GetOutputSlot(1).Connect(falseOutputLayer->GetInputSlot(0)); |
| 2482 | |
| 2483 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2484 | constantLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2485 | switchLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2486 | switchLayer->GetOutputSlot(1).SetTensorInfo(info); |
| 2487 | |
| 2488 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2489 | CHECK(deserializedNetwork); |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2490 | |
| 2491 | SwitchLayerVerifier verifier(layerName, {info, info}, {info, info}); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2492 | deserializedNetwork->ExecuteStrategy(verifier); |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2493 | } |
| 2494 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2495 | TEST_CASE("SerializeTranspose") |
Mike Kelly | c9ea45a | 2020-02-28 18:11:58 +0000 | [diff] [blame] | 2496 | { |
Mike Kelly | c9ea45a | 2020-02-28 18:11:58 +0000 | [diff] [blame] | 2497 | const std::string layerName("transpose"); |
| 2498 | const armnn::TensorInfo inputTensorInfo({4, 3, 2, 1}, armnn::DataType::Float32); |
| 2499 | const armnn::TensorInfo outputTensorInfo({1, 2, 3, 4}, armnn::DataType::Float32); |
| 2500 | |
| 2501 | armnn::TransposeDescriptor descriptor(armnn::PermutationVector({3, 2, 1, 0})); |
| 2502 | |
| 2503 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2504 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2505 | armnn::IConnectableLayer* const transposeLayer = network->AddTransposeLayer(descriptor, layerName.c_str()); |
| 2506 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2507 | |
| 2508 | inputLayer->GetOutputSlot(0).Connect(transposeLayer->GetInputSlot(0)); |
| 2509 | transposeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2510 | |
| 2511 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 2512 | transposeLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 2513 | |
| 2514 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2515 | CHECK(deserializedNetwork); |
Mike Kelly | c9ea45a | 2020-02-28 18:11:58 +0000 | [diff] [blame] | 2516 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2517 | LayerVerifierBaseWithDescriptor<armnn::TransposeDescriptor> verifier( |
| 2518 | layerName, {inputTensorInfo}, {outputTensorInfo}, descriptor); |
| 2519 | deserializedNetwork->ExecuteStrategy(verifier); |
Mike Kelly | c9ea45a | 2020-02-28 18:11:58 +0000 | [diff] [blame] | 2520 | } |
| 2521 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2522 | TEST_CASE("SerializeTransposeConvolution2d") |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2523 | { |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2524 | const std::string layerName("transposeConvolution2d"); |
| 2525 | const armnn::TensorInfo inputInfo ({ 1, 7, 7, 1 }, armnn::DataType::Float32); |
| 2526 | const armnn::TensorInfo outputInfo({ 1, 9, 9, 1 }, armnn::DataType::Float32); |
| 2527 | |
| 2528 | const armnn::TensorInfo weightsInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
| 2529 | const armnn::TensorInfo biasesInfo ({ 1 }, armnn::DataType::Float32); |
| 2530 | |
| 2531 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 2532 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 2533 | |
| 2534 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 2535 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 2536 | |
| 2537 | armnn::TransposeConvolution2dDescriptor descriptor; |
| 2538 | descriptor.m_PadLeft = 1; |
| 2539 | descriptor.m_PadRight = 1; |
| 2540 | descriptor.m_PadTop = 1; |
| 2541 | descriptor.m_PadBottom = 1; |
| 2542 | descriptor.m_StrideX = 1; |
| 2543 | descriptor.m_StrideY = 1; |
| 2544 | descriptor.m_BiasEnabled = true; |
| 2545 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 2546 | |
| 2547 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2548 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2549 | armnn::IConnectableLayer* const convLayer = |
| 2550 | network->AddTransposeConvolution2dLayer(descriptor, |
| 2551 | weights, |
| 2552 | armnn::Optional<armnn::ConstTensor>(biases), |
| 2553 | layerName.c_str()); |
| 2554 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2555 | |
| 2556 | inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0)); |
| 2557 | convLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2558 | |
| 2559 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2560 | convLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2561 | |
| 2562 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2563 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2564 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2565 | const std::vector<armnn::ConstTensor> constants {weights, biases}; |
| 2566 | LayerVerifierBaseWithDescriptorAndConstants<armnn::TransposeConvolution2dDescriptor> verifier( |
| 2567 | layerName, {inputInfo}, {outputInfo}, descriptor, constants); |
| 2568 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2569 | } |
| 2570 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2571 | TEST_CASE("SerializeDeserializeNonLinearNetwork") |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2572 | { |
| 2573 | class ConstantLayerVerifier : public LayerVerifierBase |
| 2574 | { |
| 2575 | public: |
| 2576 | ConstantLayerVerifier(const std::string& layerName, |
| 2577 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 2578 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 2579 | const armnn::ConstTensor& layerInput) |
| 2580 | : LayerVerifierBase(layerName, inputInfos, outputInfos) |
| 2581 | , m_LayerInput(layerInput) {} |
| 2582 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2583 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 2584 | const armnn::BaseDescriptor& descriptor, |
| 2585 | const std::vector<armnn::ConstTensor>& constants, |
| 2586 | const char* name, |
| 2587 | const armnn::LayerBindingId id = 0) override |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2588 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2589 | armnn::IgnoreUnused(descriptor, constants, id); |
| 2590 | switch (layer->GetType()) |
| 2591 | { |
| 2592 | case armnn::LayerType::Input: break; |
| 2593 | case armnn::LayerType::Output: break; |
| 2594 | case armnn::LayerType::Addition: break; |
| 2595 | case armnn::LayerType::Constant: |
| 2596 | { |
| 2597 | VerifyNameAndConnections(layer, name); |
| 2598 | CompareConstTensor(constants.at(0), m_LayerInput); |
| 2599 | break; |
| 2600 | } |
| 2601 | default: |
| 2602 | { |
| 2603 | throw armnn::Exception("Unexpected layer type in test model"); |
| 2604 | } |
| 2605 | } |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2606 | } |
| 2607 | |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2608 | private: |
| 2609 | armnn::ConstTensor m_LayerInput; |
| 2610 | }; |
| 2611 | |
| 2612 | const std::string layerName("constant"); |
| 2613 | const armnn::TensorInfo info({ 2, 3 }, armnn::DataType::Float32); |
| 2614 | |
| 2615 | std::vector<float> constantData = GenerateRandomData<float>(info.GetNumElements()); |
| 2616 | armnn::ConstTensor constTensor(info, constantData); |
| 2617 | |
| 2618 | armnn::INetworkPtr network(armnn::INetwork::Create()); |
| 2619 | armnn::IConnectableLayer* input = network->AddInputLayer(0); |
| 2620 | armnn::IConnectableLayer* add = network->AddAdditionLayer(); |
| 2621 | armnn::IConnectableLayer* constant = network->AddConstantLayer(constTensor, layerName.c_str()); |
| 2622 | armnn::IConnectableLayer* output = network->AddOutputLayer(0); |
| 2623 | |
| 2624 | input->GetOutputSlot(0).Connect(add->GetInputSlot(0)); |
| 2625 | constant->GetOutputSlot(0).Connect(add->GetInputSlot(1)); |
| 2626 | add->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| 2627 | |
| 2628 | input->GetOutputSlot(0).SetTensorInfo(info); |
| 2629 | constant->GetOutputSlot(0).SetTensorInfo(info); |
| 2630 | add->GetOutputSlot(0).SetTensorInfo(info); |
| 2631 | |
| 2632 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2633 | CHECK(deserializedNetwork); |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2634 | |
| 2635 | ConstantLayerVerifier verifier(layerName, {}, {info}, constTensor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2636 | deserializedNetwork->ExecuteStrategy(verifier); |
James Conroy | 8d33318 | 2020-05-13 10:27:58 +0100 | [diff] [blame] | 2637 | } |
| 2638 | |
Teresa Charlin | 50de4fa | 2021-05-31 18:47:33 +0100 | [diff] [blame] | 2639 | } |