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 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 101 | const armnn::TensorInfo meanInfo({1}, armnn::DataType::Float32, 0.0f, 0, true); |
| 102 | const armnn::TensorInfo varianceInfo({1}, armnn::DataType::Float32, 0.0f, 0, true); |
| 103 | const armnn::TensorInfo betaInfo({1}, armnn::DataType::Float32, 0.0f, 0, true); |
| 104 | const armnn::TensorInfo gammaInfo({1}, armnn::DataType::Float32, 0.0f, 0, true); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 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"); |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 310 | const armnn::TensorInfo info({ 2, 3 }, armnn::DataType::Float32, 0.0f, 0, true); |
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 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 342 | const armnn::TensorInfo weightsInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32, 0.0f, 0, true); |
| 343 | const armnn::TensorInfo biasesInfo ({ 1 }, armnn::DataType::Float32, 0.0f, 0, true); |
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 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 398 | const TensorInfo kernelInfo({ 3, 1, 1, 2 }, DataType::QSymmS8, quantScales, quantDimension, true); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 399 | |
| 400 | const std::vector<float> biasQuantScales{ 0.25f, 0.50f, 0.75f }; |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 401 | const TensorInfo biasInfo({ 3 }, DataType::Signed32, biasQuantScales, quantDimension, true); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 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 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 448 | const armnn::TensorInfo weightsInfo({ 3, 3, 3, 1, 1 }, armnn::DataType::Float32, 0.0f, 0, true); |
| 449 | const armnn::TensorInfo biasesInfo ({ 1 }, armnn::DataType::Float32, 0.0f, 0, true); |
Matthew Sloyan | b63a311 | 2021-09-08 13:05:51 +0100 | [diff] [blame] | 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); |
Matthew Sloyan | 5d7b0a3 | 2021-10-18 13:07:49 +0100 | [diff] [blame] | 475 | armnn::IConnectableLayer* const weightsLayer = network->AddConstantLayer(weights, "Weights"); |
| 476 | armnn::IConnectableLayer* const biasesLayer = network->AddConstantLayer(biases, "Biases"); |
| 477 | armnn::IConnectableLayer* const convLayer = network->AddConvolution3dLayer(descriptor, layerName.c_str()); |
Matthew Sloyan | b63a311 | 2021-09-08 13:05:51 +0100 | [diff] [blame] | 478 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 479 | |
| 480 | inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0)); |
Matthew Sloyan | 5d7b0a3 | 2021-10-18 13:07:49 +0100 | [diff] [blame] | 481 | weightsLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(1)); |
| 482 | biasesLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(2)); |
Matthew Sloyan | b63a311 | 2021-09-08 13:05:51 +0100 | [diff] [blame] | 483 | convLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 484 | |
| 485 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
Matthew Sloyan | 5d7b0a3 | 2021-10-18 13:07:49 +0100 | [diff] [blame] | 486 | weightsLayer->GetOutputSlot(0).SetTensorInfo(weightsInfo); |
| 487 | biasesLayer->GetOutputSlot(0).SetTensorInfo(biasesInfo); |
Matthew Sloyan | b63a311 | 2021-09-08 13:05:51 +0100 | [diff] [blame] | 488 | convLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 489 | |
| 490 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 491 | CHECK(deserializedNetwork); |
| 492 | |
Matthew Sloyan | 5d7b0a3 | 2021-10-18 13:07:49 +0100 | [diff] [blame] | 493 | LayerVerifierBaseWithDescriptor<armnn::Convolution3dDescriptor> verifier( |
| 494 | layerName, {inputInfo, weightsInfo, biasesInfo}, {outputInfo}, descriptor); |
Matthew Sloyan | b63a311 | 2021-09-08 13:05:51 +0100 | [diff] [blame] | 495 | deserializedNetwork->ExecuteStrategy(verifier); |
| 496 | } |
| 497 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 498 | TEST_CASE("SerializeDepthToSpace") |
Aron Virginas-Tar | da9d2d3 | 2019-09-20 10:42:02 +0100 | [diff] [blame] | 499 | { |
Aron Virginas-Tar | da9d2d3 | 2019-09-20 10:42:02 +0100 | [diff] [blame] | 500 | const std::string layerName("depthToSpace"); |
| 501 | |
| 502 | const armnn::TensorInfo inputInfo ({ 1, 8, 4, 12 }, armnn::DataType::Float32); |
| 503 | const armnn::TensorInfo outputInfo({ 1, 16, 8, 3 }, armnn::DataType::Float32); |
| 504 | |
| 505 | armnn::DepthToSpaceDescriptor desc; |
| 506 | desc.m_BlockSize = 2; |
| 507 | desc.m_DataLayout = armnn::DataLayout::NHWC; |
| 508 | |
| 509 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 510 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 511 | armnn::IConnectableLayer* const depthToSpaceLayer = network->AddDepthToSpaceLayer(desc, layerName.c_str()); |
| 512 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 513 | |
| 514 | inputLayer->GetOutputSlot(0).Connect(depthToSpaceLayer->GetInputSlot(0)); |
| 515 | depthToSpaceLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 516 | |
| 517 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 518 | depthToSpaceLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 519 | |
| 520 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 521 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | da9d2d3 | 2019-09-20 10:42:02 +0100 | [diff] [blame] | 522 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 523 | LayerVerifierBaseWithDescriptor<armnn::DepthToSpaceDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, desc); |
| 524 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | da9d2d3 | 2019-09-20 10:42:02 +0100 | [diff] [blame] | 525 | } |
| 526 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 527 | TEST_CASE("SerializeDepthwiseConvolution2d") |
Conor Kennedy | 79ffdf5 | 2019-03-01 14:24:54 +0000 | [diff] [blame] | 528 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 529 | const std::string layerName("depwiseConvolution2d"); |
| 530 | const armnn::TensorInfo inputInfo ({ 1, 5, 5, 3 }, armnn::DataType::Float32); |
| 531 | const armnn::TensorInfo outputInfo({ 1, 3, 3, 3 }, armnn::DataType::Float32); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 532 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 533 | const armnn::TensorInfo weightsInfo({ 1, 3, 3, 3 }, armnn::DataType::Float32, 0.0f, 0, true); |
| 534 | const armnn::TensorInfo biasesInfo ({ 3 }, armnn::DataType::Float32, 0.0f, 0, true); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 535 | |
| 536 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 537 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 538 | |
| 539 | std::vector<int32_t> biasesData = GenerateRandomData<int32_t>(biasesInfo.GetNumElements()); |
| 540 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 541 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 542 | armnn::DepthwiseConvolution2dDescriptor descriptor; |
Aron Virginas-Tar | 5e1b0cf | 2019-06-21 14:20:11 +0100 | [diff] [blame] | 543 | descriptor.m_PadLeft = 1; |
| 544 | descriptor.m_PadRight = 1; |
| 545 | descriptor.m_PadTop = 1; |
| 546 | descriptor.m_PadBottom = 1; |
| 547 | descriptor.m_StrideX = 2; |
| 548 | descriptor.m_StrideY = 2; |
| 549 | descriptor.m_DilationX = 2; |
| 550 | descriptor.m_DilationY = 2; |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 551 | descriptor.m_BiasEnabled = true; |
| 552 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 553 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 554 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 555 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
Cathal Corbett | 0690265 | 2022-04-14 17:55:11 +0100 | [diff] [blame] | 556 | armnn::IConnectableLayer* const depthwiseConvLayer = network->AddDepthwiseConvolution2dLayer(descriptor, |
| 557 | layerName.c_str()); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 558 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 559 | |
| 560 | inputLayer->GetOutputSlot(0).Connect(depthwiseConvLayer->GetInputSlot(0)); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 561 | depthwiseConvLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 562 | |
| 563 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 564 | depthwiseConvLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 565 | |
Cathal Corbett | 0690265 | 2022-04-14 17:55:11 +0100 | [diff] [blame] | 566 | armnn::IConnectableLayer* const weightsLayer = network->AddConstantLayer(weights); |
| 567 | weightsLayer->GetOutputSlot(0).Connect(depthwiseConvLayer->GetInputSlot(1u)); |
| 568 | weightsLayer->GetOutputSlot(0).SetTensorInfo(weights.GetInfo()); |
| 569 | |
| 570 | armnn::IConnectableLayer* const biasLayer = network->AddConstantLayer(biases); |
| 571 | biasLayer->GetOutputSlot(0).Connect(depthwiseConvLayer->GetInputSlot(2u)); |
| 572 | biasLayer->GetOutputSlot(0).SetTensorInfo(biases.GetInfo()); |
| 573 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 574 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 575 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 576 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 577 | const std::vector<armnn::ConstTensor>& constants {weights, biases}; |
| 578 | LayerVerifierBaseWithDescriptorAndConstants<armnn::DepthwiseConvolution2dDescriptor> verifier( |
Cathal Corbett | 0690265 | 2022-04-14 17:55:11 +0100 | [diff] [blame] | 579 | layerName, {inputInfo, weightsInfo, biasesInfo}, {outputInfo}, descriptor, constants); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 580 | deserializedNetwork->ExecuteStrategy(verifier); |
Jim Flynn | 18ce338 | 2019-03-08 11:08:30 +0000 | [diff] [blame] | 581 | } |
| 582 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 583 | TEST_CASE("SerializeDepthwiseConvolution2dWithPerAxisParams") |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 584 | { |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 585 | using namespace armnn; |
| 586 | |
| 587 | const std::string layerName("depwiseConvolution2dWithPerAxis"); |
| 588 | const TensorInfo inputInfo ({ 1, 3, 3, 2 }, DataType::QAsymmU8, 0.55f, 128); |
| 589 | const TensorInfo outputInfo({ 1, 2, 2, 4 }, DataType::QAsymmU8, 0.75f, 128); |
| 590 | |
| 591 | const std::vector<float> quantScales{ 0.75f, 0.80f, 0.90f, 0.95f }; |
| 592 | const unsigned int quantDimension = 0; |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 593 | TensorInfo kernelInfo({ 2, 2, 2, 2 }, DataType::QSymmS8, quantScales, quantDimension, true); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 594 | |
| 595 | const std::vector<float> biasQuantScales{ 0.25f, 0.35f, 0.45f, 0.55f }; |
| 596 | constexpr unsigned int biasQuantDimension = 0; |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 597 | TensorInfo biasInfo({ 4 }, DataType::Signed32, biasQuantScales, biasQuantDimension, true); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 598 | |
| 599 | std::vector<int8_t> kernelData = GenerateRandomData<int8_t>(kernelInfo.GetNumElements()); |
| 600 | armnn::ConstTensor weights(kernelInfo, kernelData); |
| 601 | std::vector<int32_t> biasData = GenerateRandomData<int32_t>(biasInfo.GetNumElements()); |
| 602 | armnn::ConstTensor biases(biasInfo, biasData); |
| 603 | |
| 604 | DepthwiseConvolution2dDescriptor descriptor; |
| 605 | descriptor.m_StrideX = 1; |
| 606 | descriptor.m_StrideY = 1; |
| 607 | descriptor.m_PadLeft = 0; |
| 608 | descriptor.m_PadRight = 0; |
| 609 | descriptor.m_PadTop = 0; |
| 610 | descriptor.m_PadBottom = 0; |
| 611 | descriptor.m_DilationX = 1; |
| 612 | descriptor.m_DilationY = 1; |
| 613 | descriptor.m_BiasEnabled = true; |
| 614 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 615 | |
| 616 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 617 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
Cathal Corbett | 0690265 | 2022-04-14 17:55:11 +0100 | [diff] [blame] | 618 | armnn::IConnectableLayer* const depthwiseConvLayer = network->AddDepthwiseConvolution2dLayer(descriptor, |
| 619 | layerName.c_str()); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 620 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 621 | |
| 622 | inputLayer->GetOutputSlot(0).Connect(depthwiseConvLayer->GetInputSlot(0)); |
| 623 | depthwiseConvLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 624 | |
| 625 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 626 | depthwiseConvLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 627 | |
Cathal Corbett | 0690265 | 2022-04-14 17:55:11 +0100 | [diff] [blame] | 628 | armnn::IConnectableLayer* const weightsLayer = network->AddConstantLayer(weights); |
| 629 | weightsLayer->GetOutputSlot(0).Connect(depthwiseConvLayer->GetInputSlot(1u)); |
| 630 | weightsLayer->GetOutputSlot(0).SetTensorInfo(weights.GetInfo()); |
| 631 | |
| 632 | armnn::IConnectableLayer* const biasLayer = network->AddConstantLayer(biases); |
| 633 | biasLayer->GetOutputSlot(0).Connect(depthwiseConvLayer->GetInputSlot(2u)); |
| 634 | biasLayer->GetOutputSlot(0).SetTensorInfo(biases.GetInfo()); |
| 635 | |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 636 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 637 | CHECK(deserializedNetwork); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 638 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 639 | const std::vector<armnn::ConstTensor>& constants {weights, biases}; |
| 640 | LayerVerifierBaseWithDescriptorAndConstants<armnn::DepthwiseConvolution2dDescriptor> verifier( |
Cathal Corbett | 0690265 | 2022-04-14 17:55:11 +0100 | [diff] [blame] | 641 | layerName, {inputInfo, kernelInfo, biasInfo}, {outputInfo}, descriptor, constants); |
| 642 | deserializedNetwork->ExecuteStrategy(verifier); |
| 643 | } |
| 644 | |
| 645 | TEST_CASE("SerializeDepthwiseConvolution2dWeightsAndBiasesAsConstantLayers") |
| 646 | { |
| 647 | const std::string layerName("depthwiseConvolution2d"); |
| 648 | const armnn::TensorInfo inputInfo ({ 1, 5, 5, 1 }, armnn::DataType::Float32); |
| 649 | const armnn::TensorInfo outputInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
| 650 | |
| 651 | const armnn::TensorInfo weightsInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32, 0.0f, 0, true); |
| 652 | const armnn::TensorInfo biasesInfo ({ 1 }, armnn::DataType::Float32, 0.0f, 0, true); |
| 653 | |
| 654 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 655 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 656 | |
| 657 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 658 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 659 | |
| 660 | armnn::DepthwiseConvolution2dDescriptor descriptor; |
| 661 | descriptor.m_PadLeft = 1; |
| 662 | descriptor.m_PadRight = 1; |
| 663 | descriptor.m_PadTop = 1; |
| 664 | descriptor.m_PadBottom = 1; |
| 665 | descriptor.m_StrideX = 2; |
| 666 | descriptor.m_StrideY = 2; |
| 667 | descriptor.m_DilationX = 2; |
| 668 | descriptor.m_DilationY = 2; |
| 669 | descriptor.m_BiasEnabled = true; |
| 670 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 671 | |
| 672 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 673 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 674 | armnn::IConnectableLayer* const weightsLayer = network->AddConstantLayer(weights, "Weights"); |
| 675 | armnn::IConnectableLayer* const biasesLayer = network->AddConstantLayer(biases, "Biases"); |
| 676 | armnn::IConnectableLayer* const convLayer = network->AddDepthwiseConvolution2dLayer(descriptor, |
| 677 | layerName.c_str()); |
| 678 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 679 | |
| 680 | inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0)); |
| 681 | weightsLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(1)); |
| 682 | biasesLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(2)); |
| 683 | convLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 684 | |
| 685 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 686 | weightsLayer->GetOutputSlot(0).SetTensorInfo(weightsInfo); |
| 687 | biasesLayer->GetOutputSlot(0).SetTensorInfo(biasesInfo); |
| 688 | convLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 689 | |
| 690 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 691 | CHECK(deserializedNetwork); |
| 692 | |
| 693 | const std::vector<armnn::ConstTensor>& constants {weights, biases}; |
| 694 | LayerVerifierBaseWithDescriptorAndConstants<armnn::DepthwiseConvolution2dDescriptor> verifier( |
| 695 | layerName, {inputInfo, weightsInfo, biasesInfo}, {outputInfo}, descriptor, constants); |
| 696 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 697 | deserializedNetwork->ExecuteStrategy(verifier); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 698 | } |
| 699 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 700 | TEST_CASE("SerializeDequantize") |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 701 | { |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 702 | const std::string layerName("dequantize"); |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 703 | 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] | 704 | const armnn::TensorInfo outputInfo({ 1, 5, 2, 3 }, armnn::DataType::Float32); |
| 705 | |
| 706 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 707 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 708 | armnn::IConnectableLayer* const dequantizeLayer = network->AddDequantizeLayer(layerName.c_str()); |
| 709 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 710 | |
| 711 | inputLayer->GetOutputSlot(0).Connect(dequantizeLayer->GetInputSlot(0)); |
| 712 | dequantizeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 713 | |
| 714 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 715 | dequantizeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 716 | |
| 717 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 718 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 719 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 720 | LayerVerifierBase verifier(layerName, {inputInfo}, {outputInfo}); |
| 721 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 722 | } |
| 723 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 724 | TEST_CASE("SerializeDeserializeDetectionPostProcess") |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 725 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 726 | const std::string layerName("detectionPostProcess"); |
| 727 | |
| 728 | const std::vector<armnn::TensorInfo> inputInfos({ |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 729 | armnn::TensorInfo({ 1, 6, 4 }, armnn::DataType::Float32), |
| 730 | armnn::TensorInfo({ 1, 6, 3}, armnn::DataType::Float32) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 731 | }); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 732 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 733 | const std::vector<armnn::TensorInfo> outputInfos({ |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 734 | armnn::TensorInfo({ 1, 3, 4 }, armnn::DataType::Float32), |
| 735 | armnn::TensorInfo({ 1, 3 }, armnn::DataType::Float32), |
| 736 | armnn::TensorInfo({ 1, 3 }, armnn::DataType::Float32), |
| 737 | armnn::TensorInfo({ 1 }, armnn::DataType::Float32) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 738 | }); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 739 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 740 | armnn::DetectionPostProcessDescriptor descriptor; |
| 741 | descriptor.m_UseRegularNms = true; |
| 742 | descriptor.m_MaxDetections = 3; |
| 743 | descriptor.m_MaxClassesPerDetection = 1; |
| 744 | descriptor.m_DetectionsPerClass =1; |
| 745 | descriptor.m_NmsScoreThreshold = 0.0; |
| 746 | descriptor.m_NmsIouThreshold = 0.5; |
| 747 | descriptor.m_NumClasses = 2; |
| 748 | descriptor.m_ScaleY = 10.0; |
| 749 | descriptor.m_ScaleX = 10.0; |
| 750 | descriptor.m_ScaleH = 5.0; |
| 751 | descriptor.m_ScaleW = 5.0; |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 752 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 753 | const armnn::TensorInfo anchorsInfo({ 6, 4 }, armnn::DataType::Float32, 0.0f, 0, true); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 754 | const std::vector<float> anchorsData({ |
| 755 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 756 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 757 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 758 | 0.5f, 10.5f, 1.0f, 1.0f, |
| 759 | 0.5f, 10.5f, 1.0f, 1.0f, |
| 760 | 0.5f, 100.5f, 1.0f, 1.0f |
| 761 | }); |
| 762 | armnn::ConstTensor anchors(anchorsInfo, anchorsData); |
| 763 | |
| 764 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 765 | armnn::IConnectableLayer* const detectionLayer = |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 766 | network->AddDetectionPostProcessLayer(descriptor, anchors, layerName.c_str()); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 767 | |
| 768 | for (unsigned int i = 0; i < 2; i++) |
| 769 | { |
| 770 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(static_cast<int>(i)); |
| 771 | inputLayer->GetOutputSlot(0).Connect(detectionLayer->GetInputSlot(i)); |
| 772 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfos[i]); |
| 773 | } |
| 774 | |
| 775 | for (unsigned int i = 0; i < 4; i++) |
| 776 | { |
| 777 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(static_cast<int>(i)); |
| 778 | detectionLayer->GetOutputSlot(i).Connect(outputLayer->GetInputSlot(0)); |
| 779 | detectionLayer->GetOutputSlot(i).SetTensorInfo(outputInfos[i]); |
| 780 | } |
| 781 | |
| 782 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 783 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 784 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 785 | const std::vector<armnn::ConstTensor>& constants {anchors}; |
| 786 | LayerVerifierBaseWithDescriptorAndConstants<armnn::DetectionPostProcessDescriptor> verifier( |
| 787 | layerName, inputInfos, outputInfos, descriptor, constants); |
| 788 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 789 | } |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 790 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 791 | TEST_CASE("SerializeDivision") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 792 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 793 | const std::string layerName("division"); |
| 794 | const armnn::TensorInfo info({ 1, 5, 2, 3 }, armnn::DataType::Float32); |
| 795 | |
| 796 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 797 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 798 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 799 | armnn::IConnectableLayer* const divisionLayer = network->AddDivisionLayer(layerName.c_str()); |
| 800 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 801 | |
| 802 | inputLayer0->GetOutputSlot(0).Connect(divisionLayer->GetInputSlot(0)); |
| 803 | inputLayer1->GetOutputSlot(0).Connect(divisionLayer->GetInputSlot(1)); |
| 804 | divisionLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 805 | |
| 806 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 807 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 808 | divisionLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 809 | |
| 810 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 811 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 812 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 813 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 814 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 815 | } |
| 816 | |
Jan Eilers | 1b2654f | 2021-09-24 15:45:46 +0100 | [diff] [blame] | 817 | TEST_CASE("SerializeDeserializeComparisonEqual") |
Aron Virginas-Tar | 6d2e659 | 2019-10-22 11:44:47 +0100 | [diff] [blame] | 818 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 819 | const std::string layerName("EqualLayer"); |
| 820 | const armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({2, 1, 2, 4}, armnn::DataType::Float32); |
| 821 | const armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({2, 1, 2, 4}, armnn::DataType::Float32); |
| 822 | 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] | 823 | |
| 824 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 825 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(0); |
| 826 | armnn::IConnectableLayer* const inputLayer2 = network->AddInputLayer(1); |
Jan Eilers | 1b2654f | 2021-09-24 15:45:46 +0100 | [diff] [blame] | 827 | armnn::ComparisonDescriptor equalDescriptor(armnn::ComparisonOperation::Equal); |
| 828 | armnn::IConnectableLayer* const equalLayer = network->AddComparisonLayer(equalDescriptor, layerName.c_str()); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 829 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 830 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 831 | inputLayer1->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(0)); |
| 832 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputTensorInfo1); |
| 833 | inputLayer2->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(1)); |
| 834 | inputLayer2->GetOutputSlot(0).SetTensorInfo(inputTensorInfo2); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 835 | equalLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 836 | equalLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 837 | |
| 838 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 839 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 840 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 841 | LayerVerifierBase verifier(layerName, {inputTensorInfo1, inputTensorInfo2}, {outputTensorInfo}); |
| 842 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | 6d2e659 | 2019-10-22 11:44:47 +0100 | [diff] [blame] | 843 | } |
| 844 | |
Teresa Charlin | 50de4fa | 2021-05-31 18:47:33 +0100 | [diff] [blame] | 845 | void SerializeElementwiseUnaryTest(armnn::UnaryOperation unaryOperation) |
| 846 | { |
| 847 | auto layerName = GetUnaryOperationAsCString(unaryOperation); |
| 848 | |
| 849 | const armnn::TensorShape shape{2, 1, 2, 2}; |
| 850 | |
| 851 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Float32); |
| 852 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Float32); |
| 853 | |
| 854 | armnn::ElementwiseUnaryDescriptor descriptor(unaryOperation); |
| 855 | |
| 856 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 857 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 858 | armnn::IConnectableLayer* const elementwiseUnaryLayer = |
| 859 | network->AddElementwiseUnaryLayer(descriptor, layerName); |
| 860 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 861 | |
| 862 | inputLayer->GetOutputSlot(0).Connect(elementwiseUnaryLayer->GetInputSlot(0)); |
| 863 | elementwiseUnaryLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 864 | |
| 865 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 866 | elementwiseUnaryLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 867 | |
| 868 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 869 | |
| 870 | CHECK(deserializedNetwork); |
| 871 | |
| 872 | LayerVerifierBaseWithDescriptor<armnn::ElementwiseUnaryDescriptor> |
| 873 | verifier(layerName, { inputInfo }, { outputInfo }, descriptor); |
| 874 | |
| 875 | deserializedNetwork->ExecuteStrategy(verifier); |
| 876 | } |
| 877 | |
| 878 | TEST_CASE("SerializeElementwiseUnary") |
| 879 | { |
| 880 | using op = armnn::UnaryOperation; |
| 881 | std::initializer_list<op> allUnaryOperations = {op::Abs, op::Exp, op::Sqrt, op::Rsqrt, op::Neg, |
| 882 | op::LogicalNot, op::Log, op::Sin}; |
| 883 | |
| 884 | for (auto unaryOperation : allUnaryOperations) |
| 885 | { |
| 886 | SerializeElementwiseUnaryTest(unaryOperation); |
| 887 | } |
| 888 | } |
| 889 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 890 | TEST_CASE("SerializeFill") |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 891 | { |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 892 | const std::string layerName("fill"); |
Teresa Charlin | 4b10fef | 2020-07-29 09:36:41 +0100 | [diff] [blame] | 893 | const armnn::TensorInfo inputInfo({4}, armnn::DataType::Signed32); |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 894 | const armnn::TensorInfo outputInfo({1, 3, 3, 1}, armnn::DataType::Float32); |
| 895 | |
| 896 | armnn::FillDescriptor descriptor(1.0f); |
| 897 | |
| 898 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 899 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 900 | armnn::IConnectableLayer* const fillLayer = network->AddFillLayer(descriptor, layerName.c_str()); |
| 901 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 902 | |
| 903 | inputLayer->GetOutputSlot(0).Connect(fillLayer->GetInputSlot(0)); |
| 904 | fillLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 905 | |
| 906 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 907 | fillLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 908 | |
| 909 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 910 | CHECK(deserializedNetwork); |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 911 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 912 | LayerVerifierBaseWithDescriptor<armnn::FillDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, descriptor); |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 913 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 914 | deserializedNetwork->ExecuteStrategy(verifier); |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 915 | } |
| 916 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 917 | TEST_CASE("SerializeFloor") |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 918 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 919 | const std::string layerName("floor"); |
| 920 | const armnn::TensorInfo info({4,4}, armnn::DataType::Float32); |
| 921 | |
| 922 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 923 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 924 | armnn::IConnectableLayer* const floorLayer = network->AddFloorLayer(layerName.c_str()); |
| 925 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 926 | |
| 927 | inputLayer->GetOutputSlot(0).Connect(floorLayer->GetInputSlot(0)); |
| 928 | floorLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 929 | |
| 930 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 931 | floorLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 932 | |
| 933 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 934 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 935 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 936 | LayerVerifierBase verifier(layerName, {info}, {info}); |
| 937 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 938 | } |
| 939 | |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 940 | using FullyConnectedDescriptor = armnn::FullyConnectedDescriptor; |
| 941 | class FullyConnectedLayerVerifier : public LayerVerifierBaseWithDescriptor<FullyConnectedDescriptor> |
| 942 | { |
| 943 | public: |
| 944 | FullyConnectedLayerVerifier(const std::string& layerName, |
| 945 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 946 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 947 | const FullyConnectedDescriptor& descriptor) |
| 948 | : LayerVerifierBaseWithDescriptor<FullyConnectedDescriptor>(layerName, inputInfos, outputInfos, descriptor) {} |
| 949 | |
| 950 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 951 | const armnn::BaseDescriptor& descriptor, |
| 952 | const std::vector<armnn::ConstTensor>& constants, |
| 953 | const char* name, |
| 954 | const armnn::LayerBindingId id = 0) override |
| 955 | { |
| 956 | armnn::IgnoreUnused(constants, id); |
| 957 | switch (layer->GetType()) |
| 958 | { |
| 959 | case armnn::LayerType::Input: break; |
| 960 | case armnn::LayerType::Output: break; |
| 961 | case armnn::LayerType::Constant: break; |
| 962 | default: |
| 963 | { |
| 964 | VerifyNameAndConnections(layer, name); |
| 965 | const FullyConnectedDescriptor& layerDescriptor = |
| 966 | static_cast<const FullyConnectedDescriptor&>(descriptor); |
| 967 | CHECK(layerDescriptor.m_ConstantWeights == m_Descriptor.m_ConstantWeights); |
| 968 | CHECK(layerDescriptor.m_BiasEnabled == m_Descriptor.m_BiasEnabled); |
| 969 | CHECK(layerDescriptor.m_TransposeWeightMatrix == m_Descriptor.m_TransposeWeightMatrix); |
| 970 | } |
| 971 | } |
| 972 | } |
| 973 | }; |
| 974 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 975 | TEST_CASE("SerializeFullyConnected") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 976 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 977 | const std::string layerName("fullyConnected"); |
| 978 | const armnn::TensorInfo inputInfo ({ 2, 5, 1, 1 }, armnn::DataType::Float32); |
| 979 | const armnn::TensorInfo outputInfo({ 2, 3 }, armnn::DataType::Float32); |
| 980 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 981 | const armnn::TensorInfo weightsInfo({ 5, 3 }, armnn::DataType::Float32, 0.0f, 0, true); |
| 982 | const armnn::TensorInfo biasesInfo ({ 3 }, armnn::DataType::Float32, 0.0f, 0, true); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 983 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 984 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 985 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 986 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 987 | |
| 988 | armnn::FullyConnectedDescriptor descriptor; |
| 989 | descriptor.m_BiasEnabled = true; |
| 990 | descriptor.m_TransposeWeightMatrix = false; |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 991 | descriptor.m_ConstantWeights = true; |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 992 | |
| 993 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 994 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
Francis Murtagh | bb6c649 | 2022-02-09 15:13:38 +0000 | [diff] [blame] | 995 | armnn::IConnectableLayer* const weightsInputLayer = network->AddInputLayer(1); |
| 996 | armnn::IConnectableLayer* const biasInputLayer = network->AddInputLayer(2); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 997 | armnn::IConnectableLayer* const fullyConnectedLayer = |
Francis Murtagh | bb6c649 | 2022-02-09 15:13:38 +0000 | [diff] [blame] | 998 | network->AddFullyConnectedLayer(descriptor, |
| 999 | layerName.c_str()); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1000 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1001 | |
| 1002 | inputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(0)); |
Francis Murtagh | bb6c649 | 2022-02-09 15:13:38 +0000 | [diff] [blame] | 1003 | weightsInputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(1)); |
| 1004 | biasInputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(2)); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1005 | fullyConnectedLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1006 | |
| 1007 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
Francis Murtagh | bb6c649 | 2022-02-09 15:13:38 +0000 | [diff] [blame] | 1008 | weightsInputLayer->GetOutputSlot(0).SetTensorInfo(weightsInfo); |
| 1009 | biasInputLayer->GetOutputSlot(0).SetTensorInfo(biasesInfo); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1010 | fullyConnectedLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1011 | |
| 1012 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1013 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1014 | |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 1015 | FullyConnectedLayerVerifier verifier(layerName, {inputInfo, weightsInfo, biasesInfo}, {outputInfo}, descriptor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1016 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1017 | } |
| 1018 | |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 1019 | TEST_CASE("SerializeFullyConnectedWeightsAndBiasesAsInputs") |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 1020 | { |
| 1021 | const std::string layerName("fullyConnected_weights_as_inputs"); |
| 1022 | const armnn::TensorInfo inputInfo ({ 2, 5, 1, 1 }, armnn::DataType::Float32); |
| 1023 | const armnn::TensorInfo outputInfo({ 2, 3 }, armnn::DataType::Float32); |
| 1024 | |
| 1025 | const armnn::TensorInfo weightsInfo({ 5, 3 }, armnn::DataType::Float32); |
| 1026 | const armnn::TensorInfo biasesInfo ({ 3 }, armnn::DataType::Float32); |
| 1027 | |
| 1028 | armnn::Optional<armnn::ConstTensor> weights = armnn::EmptyOptional(); |
| 1029 | armnn::Optional<armnn::ConstTensor> bias = armnn::EmptyOptional(); |
| 1030 | |
| 1031 | armnn::FullyConnectedDescriptor descriptor; |
| 1032 | descriptor.m_BiasEnabled = true; |
| 1033 | descriptor.m_TransposeWeightMatrix = false; |
| 1034 | descriptor.m_ConstantWeights = false; |
| 1035 | |
| 1036 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1037 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1038 | armnn::IConnectableLayer* const weightsInputLayer = network->AddInputLayer(1); |
| 1039 | armnn::IConnectableLayer* const biasInputLayer = network->AddInputLayer(2); |
| 1040 | armnn::IConnectableLayer* const fullyConnectedLayer = |
| 1041 | network->AddFullyConnectedLayer(descriptor, |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 1042 | layerName.c_str()); |
| 1043 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1044 | |
| 1045 | inputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(0)); |
| 1046 | weightsInputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(1)); |
| 1047 | biasInputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(2)); |
| 1048 | fullyConnectedLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1049 | |
| 1050 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1051 | weightsInputLayer->GetOutputSlot(0).SetTensorInfo(weightsInfo); |
| 1052 | biasInputLayer->GetOutputSlot(0).SetTensorInfo(biasesInfo); |
| 1053 | fullyConnectedLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1054 | |
| 1055 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1056 | CHECK(deserializedNetwork); |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 1057 | |
| 1058 | const std::vector<armnn::ConstTensor> constants {}; |
| 1059 | LayerVerifierBaseWithDescriptorAndConstants<armnn::FullyConnectedDescriptor> verifier( |
| 1060 | layerName, {inputInfo, weightsInfo, biasesInfo}, {outputInfo}, descriptor, constants); |
| 1061 | deserializedNetwork->ExecuteStrategy(verifier); |
| 1062 | } |
| 1063 | |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 1064 | TEST_CASE("SerializeFullyConnectedWeightsAndBiasesAsConstantLayers") |
| 1065 | { |
| 1066 | const std::string layerName("fullyConnected_weights_as_inputs"); |
| 1067 | const armnn::TensorInfo inputInfo ({ 2, 5, 1, 1 }, armnn::DataType::Float32); |
| 1068 | const armnn::TensorInfo outputInfo({ 2, 3 }, armnn::DataType::Float32); |
| 1069 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 1070 | const armnn::TensorInfo weightsInfo({ 5, 3 }, armnn::DataType::Float32, 0.0f, 0, true); |
| 1071 | const armnn::TensorInfo biasesInfo ({ 3 }, armnn::DataType::Float32, 0.0f, 0, true); |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 1072 | |
| 1073 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 1074 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 1075 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 1076 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 1077 | |
| 1078 | armnn::FullyConnectedDescriptor descriptor; |
| 1079 | descriptor.m_BiasEnabled = true; |
| 1080 | descriptor.m_TransposeWeightMatrix = false; |
| 1081 | descriptor.m_ConstantWeights = true; |
| 1082 | |
| 1083 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1084 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1085 | armnn::IConnectableLayer* const weightsLayer = network->AddConstantLayer(weights, "Weights"); |
| 1086 | armnn::IConnectableLayer* const biasesLayer = network->AddConstantLayer(biases, "Biases"); |
| 1087 | armnn::IConnectableLayer* const fullyConnectedLayer = network->AddFullyConnectedLayer(descriptor,layerName.c_str()); |
| 1088 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1089 | |
| 1090 | inputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(0)); |
| 1091 | weightsLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(1)); |
| 1092 | biasesLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(2)); |
| 1093 | fullyConnectedLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1094 | |
| 1095 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1096 | weightsLayer->GetOutputSlot(0).SetTensorInfo(weightsInfo); |
| 1097 | biasesLayer->GetOutputSlot(0).SetTensorInfo(biasesInfo); |
| 1098 | fullyConnectedLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1099 | |
| 1100 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1101 | CHECK(deserializedNetwork); |
| 1102 | |
| 1103 | FullyConnectedLayerVerifier verifier(layerName, {inputInfo, weightsInfo, biasesInfo}, {outputInfo}, descriptor); |
| 1104 | deserializedNetwork->ExecuteStrategy(verifier); |
| 1105 | } |
| 1106 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1107 | TEST_CASE("SerializeGather") |
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 | using GatherDescriptor = armnn::GatherDescriptor; |
| 1110 | class GatherLayerVerifier : public LayerVerifierBaseWithDescriptor<GatherDescriptor> |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1111 | { |
| 1112 | public: |
| 1113 | GatherLayerVerifier(const std::string& layerName, |
| 1114 | const std::vector<armnn::TensorInfo>& inputInfos, |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 1115 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 1116 | const GatherDescriptor& descriptor) |
| 1117 | : LayerVerifierBaseWithDescriptor<GatherDescriptor>(layerName, inputInfos, outputInfos, descriptor) {} |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1118 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1119 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 1120 | const armnn::BaseDescriptor& descriptor, |
| 1121 | const std::vector<armnn::ConstTensor>& constants, |
| 1122 | const char* name, |
| 1123 | const armnn::LayerBindingId id = 0) override |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1124 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1125 | armnn::IgnoreUnused(constants, id); |
| 1126 | switch (layer->GetType()) |
| 1127 | { |
| 1128 | case armnn::LayerType::Input: break; |
| 1129 | case armnn::LayerType::Output: break; |
| 1130 | case armnn::LayerType::Constant: break; |
| 1131 | default: |
| 1132 | { |
| 1133 | VerifyNameAndConnections(layer, name); |
| 1134 | const GatherDescriptor& layerDescriptor = static_cast<const GatherDescriptor&>(descriptor); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1135 | CHECK(layerDescriptor.m_Axis == m_Descriptor.m_Axis); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1136 | } |
| 1137 | } |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1138 | } |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1139 | }; |
| 1140 | |
| 1141 | const std::string layerName("gather"); |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1142 | armnn::TensorInfo paramsInfo({ 8 }, armnn::DataType::QAsymmU8); |
| 1143 | armnn::TensorInfo outputInfo({ 3 }, armnn::DataType::QAsymmU8); |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 1144 | const armnn::TensorInfo indicesInfo({ 3 }, armnn::DataType::Signed32, 0.0f, 0, true); |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 1145 | GatherDescriptor descriptor; |
| 1146 | descriptor.m_Axis = 1; |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1147 | |
| 1148 | paramsInfo.SetQuantizationScale(1.0f); |
| 1149 | paramsInfo.SetQuantizationOffset(0); |
| 1150 | outputInfo.SetQuantizationScale(1.0f); |
| 1151 | outputInfo.SetQuantizationOffset(0); |
| 1152 | |
| 1153 | const std::vector<int32_t>& indicesData = {7, 6, 5}; |
| 1154 | |
| 1155 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1156 | armnn::IConnectableLayer *const inputLayer = network->AddInputLayer(0); |
| 1157 | armnn::IConnectableLayer *const constantLayer = |
| 1158 | network->AddConstantLayer(armnn::ConstTensor(indicesInfo, indicesData)); |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 1159 | armnn::IConnectableLayer *const gatherLayer = network->AddGatherLayer(descriptor, layerName.c_str()); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1160 | armnn::IConnectableLayer *const outputLayer = network->AddOutputLayer(0); |
| 1161 | |
| 1162 | inputLayer->GetOutputSlot(0).Connect(gatherLayer->GetInputSlot(0)); |
| 1163 | constantLayer->GetOutputSlot(0).Connect(gatherLayer->GetInputSlot(1)); |
| 1164 | gatherLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1165 | |
| 1166 | inputLayer->GetOutputSlot(0).SetTensorInfo(paramsInfo); |
| 1167 | constantLayer->GetOutputSlot(0).SetTensorInfo(indicesInfo); |
| 1168 | gatherLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1169 | |
| 1170 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1171 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1172 | |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 1173 | GatherLayerVerifier verifier(layerName, {paramsInfo, indicesInfo}, {outputInfo}, descriptor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1174 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1175 | } |
| 1176 | |
Teresa Charlin | 6966bfa | 2022-04-25 17:14:50 +0100 | [diff] [blame] | 1177 | TEST_CASE("SerializeGatherNd") |
| 1178 | { |
| 1179 | class GatherNdLayerVerifier : public LayerVerifierBase |
| 1180 | { |
| 1181 | public: |
| 1182 | GatherNdLayerVerifier(const std::string& layerName, |
| 1183 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 1184 | const std::vector<armnn::TensorInfo>& outputInfos) |
| 1185 | : LayerVerifierBase(layerName, inputInfos, outputInfos) {} |
| 1186 | |
| 1187 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 1188 | const armnn::BaseDescriptor& descriptor, |
| 1189 | const std::vector<armnn::ConstTensor>& constants, |
| 1190 | const char* name, |
| 1191 | const armnn::LayerBindingId id = 0) override |
| 1192 | { |
| 1193 | armnn::IgnoreUnused(constants, id); |
| 1194 | switch (layer->GetType()) |
| 1195 | { |
| 1196 | case armnn::LayerType::Input: |
| 1197 | case armnn::LayerType::Output: |
| 1198 | case armnn::LayerType::Constant: |
| 1199 | break; |
| 1200 | default: |
| 1201 | { |
| 1202 | VerifyNameAndConnections(layer, name); |
| 1203 | } |
| 1204 | } |
| 1205 | } |
| 1206 | }; |
| 1207 | |
| 1208 | const std::string layerName("gatherNd"); |
| 1209 | armnn::TensorInfo paramsInfo({ 6, 3 }, armnn::DataType::QAsymmU8); |
| 1210 | armnn::TensorInfo outputInfo({ 3, 3 }, armnn::DataType::QAsymmU8); |
| 1211 | const armnn::TensorInfo indicesInfo({ 3, 1 }, armnn::DataType::Signed32, 0.0f, 0, true); |
| 1212 | |
| 1213 | paramsInfo.SetQuantizationScale(1.0f); |
| 1214 | paramsInfo.SetQuantizationOffset(0); |
| 1215 | outputInfo.SetQuantizationScale(1.0f); |
| 1216 | outputInfo.SetQuantizationOffset(0); |
| 1217 | |
| 1218 | const std::vector<int32_t>& indicesData = {5, 1, 0}; |
| 1219 | |
| 1220 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1221 | armnn::IConnectableLayer *const inputLayer = network->AddInputLayer(0); |
| 1222 | armnn::IConnectableLayer *const constantLayer = |
| 1223 | network->AddConstantLayer(armnn::ConstTensor(indicesInfo, indicesData)); |
| 1224 | armnn::IConnectableLayer *const gatherNdLayer = network->AddGatherNdLayer(layerName.c_str()); |
| 1225 | armnn::IConnectableLayer *const outputLayer = network->AddOutputLayer(0); |
| 1226 | |
| 1227 | inputLayer->GetOutputSlot(0).Connect(gatherNdLayer->GetInputSlot(0)); |
| 1228 | constantLayer->GetOutputSlot(0).Connect(gatherNdLayer->GetInputSlot(1)); |
| 1229 | gatherNdLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1230 | |
| 1231 | inputLayer->GetOutputSlot(0).SetTensorInfo(paramsInfo); |
| 1232 | constantLayer->GetOutputSlot(0).SetTensorInfo(indicesInfo); |
| 1233 | gatherNdLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1234 | |
| 1235 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1236 | CHECK(deserializedNetwork); |
| 1237 | |
| 1238 | GatherNdLayerVerifier verifier(layerName, {paramsInfo, indicesInfo}, {outputInfo}); |
| 1239 | deserializedNetwork->ExecuteStrategy(verifier); |
| 1240 | } |
Aron Virginas-Tar | 6d2e659 | 2019-10-22 11:44:47 +0100 | [diff] [blame] | 1241 | |
Jan Eilers | 1b2654f | 2021-09-24 15:45:46 +0100 | [diff] [blame] | 1242 | TEST_CASE("SerializeComparisonGreater") |
Aron Virginas-Tar | 781ced9 | 2019-10-03 11:15:39 +0100 | [diff] [blame] | 1243 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1244 | const std::string layerName("greater"); |
| 1245 | |
| 1246 | const armnn::TensorShape shape{2, 1, 2, 4}; |
| 1247 | |
| 1248 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Float32); |
| 1249 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Boolean); |
| 1250 | |
| 1251 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1252 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1253 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
Jan Eilers | 1b2654f | 2021-09-24 15:45:46 +0100 | [diff] [blame] | 1254 | armnn::ComparisonDescriptor greaterDescriptor(armnn::ComparisonOperation::Greater); |
| 1255 | armnn::IConnectableLayer* const equalLayer = network->AddComparisonLayer(greaterDescriptor, layerName.c_str()); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1256 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1257 | |
| 1258 | inputLayer0->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(0)); |
| 1259 | inputLayer1->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(1)); |
| 1260 | equalLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1261 | |
| 1262 | inputLayer0->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1263 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1264 | equalLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1265 | |
| 1266 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1267 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1268 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1269 | LayerVerifierBase verifier(layerName, { inputInfo, inputInfo }, { outputInfo }); |
| 1270 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1271 | } |
| 1272 | |
Aron Virginas-Tar | 6d2e659 | 2019-10-22 11:44:47 +0100 | [diff] [blame] | 1273 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1274 | TEST_CASE("SerializeInstanceNormalization") |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1275 | { |
Aron Virginas-Tar | 781ced9 | 2019-10-03 11:15:39 +0100 | [diff] [blame] | 1276 | const std::string layerName("instanceNormalization"); |
| 1277 | const armnn::TensorInfo info({ 1, 2, 1, 5 }, armnn::DataType::Float32); |
| 1278 | |
| 1279 | armnn::InstanceNormalizationDescriptor descriptor; |
| 1280 | descriptor.m_Gamma = 1.1f; |
| 1281 | descriptor.m_Beta = 0.1f; |
| 1282 | descriptor.m_Eps = 0.0001f; |
| 1283 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 1284 | |
| 1285 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1286 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1287 | armnn::IConnectableLayer* const instanceNormLayer = |
| 1288 | network->AddInstanceNormalizationLayer(descriptor, layerName.c_str()); |
| 1289 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1290 | |
| 1291 | inputLayer->GetOutputSlot(0).Connect(instanceNormLayer->GetInputSlot(0)); |
| 1292 | instanceNormLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1293 | |
| 1294 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1295 | instanceNormLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1296 | |
| 1297 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1298 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | 781ced9 | 2019-10-03 11:15:39 +0100 | [diff] [blame] | 1299 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1300 | LayerVerifierBaseWithDescriptor<armnn::InstanceNormalizationDescriptor> verifier( |
| 1301 | layerName, {info}, {info}, descriptor); |
| 1302 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | 781ced9 | 2019-10-03 11:15:39 +0100 | [diff] [blame] | 1303 | } |
| 1304 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1305 | TEST_CASE("SerializeL2Normalization") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1306 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1307 | const std::string l2NormLayerName("l2Normalization"); |
| 1308 | const armnn::TensorInfo info({1, 2, 1, 5}, armnn::DataType::Float32); |
| 1309 | |
| 1310 | armnn::L2NormalizationDescriptor desc; |
| 1311 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1312 | desc.m_Eps = 0.0001f; |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1313 | |
| 1314 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1315 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1316 | armnn::IConnectableLayer* const l2NormLayer = network->AddL2NormalizationLayer(desc, l2NormLayerName.c_str()); |
| 1317 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1318 | |
| 1319 | inputLayer0->GetOutputSlot(0).Connect(l2NormLayer->GetInputSlot(0)); |
| 1320 | l2NormLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1321 | |
| 1322 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1323 | l2NormLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1324 | |
| 1325 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1326 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1327 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1328 | LayerVerifierBaseWithDescriptor<armnn::L2NormalizationDescriptor> verifier( |
| 1329 | l2NormLayerName, {info}, {info}, desc); |
| 1330 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1331 | } |
| 1332 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1333 | TEST_CASE("EnsureL2NormalizationBackwardCompatibility") |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1334 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1335 | // 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] | 1336 | // a L2Normalization layer and an output layer with dimensions as per the tensor infos below. |
| 1337 | // |
| 1338 | // This test verifies that we can still read back these old style |
| 1339 | // models without the normalization epsilon value. |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1340 | const std::vector<uint8_t> l2NormalizationModel = |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1341 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1342 | 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, |
| 1343 | 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 1344 | 0x3C, 0x01, 0x00, 0x00, 0x74, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1345 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0xE8, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, |
| 1346 | 0x04, 0x00, 0x00, 0x00, 0xD6, 0xFE, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, |
| 1347 | 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x9E, 0xFF, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, |
| 1348 | 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1349 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1350 | 0x4C, 0xFF, 0xFF, 0xFF, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x44, 0xFF, 0xFF, 0xFF, 0x00, 0x00, |
| 1351 | 0x00, 0x20, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 1352 | 0x20, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1353 | 0x0E, 0x00, 0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x14, 0x00, 0x0E, 0x00, 0x00, 0x00, |
| 1354 | 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x1F, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x20, 0x00, |
| 1355 | 0x00, 0x00, 0x0F, 0x00, 0x00, 0x00, 0x6C, 0x32, 0x4E, 0x6F, 0x72, 0x6D, 0x61, 0x6C, 0x69, 0x7A, 0x61, 0x74, |
| 1356 | 0x69, 0x6F, 0x6E, 0x00, 0x01, 0x00, 0x00, 0x00, 0x48, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, |
| 1357 | 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 1358 | 0x52, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 1359 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x05, 0x00, 0x00, 0x00, |
| 1360 | 0x08, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1361 | 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, |
| 1362 | 0x04, 0x00, 0x00, 0x00, 0xF6, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x0A, 0x00, |
| 1363 | 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x14, 0x00, 0x00, 0x00, |
| 1364 | 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x0E, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, |
| 1365 | 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1366 | 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0A, 0x00, 0x00, 0x00, |
| 1367 | 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x08, 0x00, |
| 1368 | 0x07, 0x00, 0x0C, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1369 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, |
| 1370 | 0x05, 0x00, 0x00, 0x00, 0x00 |
| 1371 | }; |
| 1372 | |
| 1373 | armnn::INetworkPtr deserializedNetwork = |
| 1374 | DeserializeNetwork(std::string(l2NormalizationModel.begin(), l2NormalizationModel.end())); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1375 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1376 | |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1377 | const std::string layerName("l2Normalization"); |
| 1378 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({1, 2, 1, 5}, armnn::DataType::Float32); |
| 1379 | |
| 1380 | armnn::L2NormalizationDescriptor desc; |
| 1381 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1382 | // 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] | 1383 | desc.m_Eps = 1e-12f; |
| 1384 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1385 | LayerVerifierBaseWithDescriptor<armnn::L2NormalizationDescriptor> verifier( |
| 1386 | layerName, {inputInfo}, {inputInfo}, desc); |
| 1387 | deserializedNetwork->ExecuteStrategy(verifier); |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1388 | } |
| 1389 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1390 | TEST_CASE("SerializeLogicalBinary") |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 1391 | { |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 1392 | const std::string layerName("logicalBinaryAnd"); |
| 1393 | |
| 1394 | const armnn::TensorShape shape{2, 1, 2, 2}; |
| 1395 | |
| 1396 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Boolean); |
| 1397 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Boolean); |
| 1398 | |
| 1399 | armnn::LogicalBinaryDescriptor descriptor(armnn::LogicalBinaryOperation::LogicalAnd); |
| 1400 | |
| 1401 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1402 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1403 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1404 | armnn::IConnectableLayer* const logicalBinaryLayer = network->AddLogicalBinaryLayer(descriptor, layerName.c_str()); |
| 1405 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1406 | |
| 1407 | inputLayer0->GetOutputSlot(0).Connect(logicalBinaryLayer->GetInputSlot(0)); |
| 1408 | inputLayer1->GetOutputSlot(0).Connect(logicalBinaryLayer->GetInputSlot(1)); |
| 1409 | logicalBinaryLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1410 | |
| 1411 | inputLayer0->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1412 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1413 | logicalBinaryLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1414 | |
| 1415 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1416 | CHECK(deserializedNetwork); |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 1417 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1418 | LayerVerifierBaseWithDescriptor<armnn::LogicalBinaryDescriptor> verifier( |
| 1419 | layerName, { inputInfo, inputInfo }, { outputInfo }, descriptor); |
| 1420 | deserializedNetwork->ExecuteStrategy(verifier); |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 1421 | } |
| 1422 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1423 | TEST_CASE("SerializeLogSoftmax") |
Sadik Armagan | 2625785 | 2019-10-14 13:00:47 +0100 | [diff] [blame] | 1424 | { |
Sadik Armagan | 2625785 | 2019-10-14 13:00:47 +0100 | [diff] [blame] | 1425 | const std::string layerName("log_softmax"); |
| 1426 | const armnn::TensorInfo info({1, 10}, armnn::DataType::Float32); |
| 1427 | |
| 1428 | armnn::LogSoftmaxDescriptor descriptor; |
| 1429 | descriptor.m_Beta = 1.0f; |
| 1430 | descriptor.m_Axis = -1; |
| 1431 | |
| 1432 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1433 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1434 | armnn::IConnectableLayer* const logSoftmaxLayer = network->AddLogSoftmaxLayer(descriptor, layerName.c_str()); |
| 1435 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1436 | |
| 1437 | inputLayer->GetOutputSlot(0).Connect(logSoftmaxLayer->GetInputSlot(0)); |
| 1438 | logSoftmaxLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1439 | |
| 1440 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1441 | logSoftmaxLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1442 | |
| 1443 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1444 | CHECK(deserializedNetwork); |
Sadik Armagan | 2625785 | 2019-10-14 13:00:47 +0100 | [diff] [blame] | 1445 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1446 | LayerVerifierBaseWithDescriptor<armnn::LogSoftmaxDescriptor> verifier(layerName, {info}, {info}, descriptor); |
| 1447 | deserializedNetwork->ExecuteStrategy(verifier); |
Sadik Armagan | 2625785 | 2019-10-14 13:00:47 +0100 | [diff] [blame] | 1448 | } |
| 1449 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1450 | TEST_CASE("SerializeMaximum") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1451 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1452 | const std::string layerName("maximum"); |
| 1453 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 1454 | |
| 1455 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1456 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1457 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1458 | armnn::IConnectableLayer* const maximumLayer = network->AddMaximumLayer(layerName.c_str()); |
| 1459 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1460 | |
| 1461 | inputLayer0->GetOutputSlot(0).Connect(maximumLayer->GetInputSlot(0)); |
| 1462 | inputLayer1->GetOutputSlot(0).Connect(maximumLayer->GetInputSlot(1)); |
| 1463 | maximumLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1464 | |
| 1465 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1466 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 1467 | maximumLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1468 | |
| 1469 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1470 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1471 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1472 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 1473 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1474 | } |
| 1475 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1476 | TEST_CASE("SerializeMean") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1477 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1478 | const std::string layerName("mean"); |
| 1479 | const armnn::TensorInfo inputInfo({1, 1, 3, 2}, armnn::DataType::Float32); |
| 1480 | const armnn::TensorInfo outputInfo({1, 1, 1, 2}, armnn::DataType::Float32); |
| 1481 | |
| 1482 | armnn::MeanDescriptor descriptor; |
| 1483 | descriptor.m_Axis = { 2 }; |
| 1484 | descriptor.m_KeepDims = true; |
| 1485 | |
| 1486 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1487 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1488 | armnn::IConnectableLayer* const meanLayer = network->AddMeanLayer(descriptor, layerName.c_str()); |
| 1489 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1490 | |
| 1491 | inputLayer->GetOutputSlot(0).Connect(meanLayer->GetInputSlot(0)); |
| 1492 | meanLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1493 | |
| 1494 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1495 | meanLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1496 | |
| 1497 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1498 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1499 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1500 | LayerVerifierBaseWithDescriptor<armnn::MeanDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, descriptor); |
| 1501 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1502 | } |
| 1503 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1504 | TEST_CASE("SerializeMerge") |
Nattapat Chaimanowong | 1f88630 | 2019-04-05 13:37:19 +0100 | [diff] [blame] | 1505 | { |
Nattapat Chaimanowong | 1f88630 | 2019-04-05 13:37:19 +0100 | [diff] [blame] | 1506 | const std::string layerName("merge"); |
| 1507 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 1508 | |
| 1509 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1510 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1511 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1512 | armnn::IConnectableLayer* const mergeLayer = network->AddMergeLayer(layerName.c_str()); |
| 1513 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1514 | |
| 1515 | inputLayer0->GetOutputSlot(0).Connect(mergeLayer->GetInputSlot(0)); |
| 1516 | inputLayer1->GetOutputSlot(0).Connect(mergeLayer->GetInputSlot(1)); |
| 1517 | mergeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1518 | |
| 1519 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1520 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 1521 | mergeLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1522 | |
| 1523 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1524 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 1f88630 | 2019-04-05 13:37:19 +0100 | [diff] [blame] | 1525 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1526 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 1527 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 1f88630 | 2019-04-05 13:37:19 +0100 | [diff] [blame] | 1528 | } |
| 1529 | |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1530 | class MergerLayerVerifier : public LayerVerifierBaseWithDescriptor<armnn::OriginsDescriptor> |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1531 | { |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1532 | public: |
| 1533 | MergerLayerVerifier(const std::string& layerName, |
| 1534 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 1535 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 1536 | const armnn::OriginsDescriptor& descriptor) |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1537 | : LayerVerifierBaseWithDescriptor<armnn::OriginsDescriptor>(layerName, inputInfos, outputInfos, descriptor) {} |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1538 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1539 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 1540 | const armnn::BaseDescriptor& descriptor, |
| 1541 | const std::vector<armnn::ConstTensor>& constants, |
| 1542 | const char* name, |
| 1543 | const armnn::LayerBindingId id = 0) override |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1544 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1545 | armnn::IgnoreUnused(descriptor, constants, id); |
| 1546 | switch (layer->GetType()) |
| 1547 | { |
| 1548 | case armnn::LayerType::Input: break; |
| 1549 | case armnn::LayerType::Output: break; |
| 1550 | case armnn::LayerType::Merge: |
| 1551 | { |
| 1552 | throw armnn::Exception("MergerLayer should have translated to ConcatLayer"); |
| 1553 | break; |
| 1554 | } |
| 1555 | case armnn::LayerType::Concat: |
| 1556 | { |
| 1557 | VerifyNameAndConnections(layer, name); |
| 1558 | const armnn::MergerDescriptor& layerDescriptor = |
| 1559 | static_cast<const armnn::MergerDescriptor&>(descriptor); |
| 1560 | VerifyDescriptor(layerDescriptor); |
| 1561 | break; |
| 1562 | } |
| 1563 | default: |
| 1564 | { |
| 1565 | throw armnn::Exception("Unexpected layer type in Merge test model"); |
| 1566 | } |
| 1567 | } |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1568 | } |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1569 | }; |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1570 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1571 | TEST_CASE("EnsureMergerLayerBackwardCompatibility") |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1572 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1573 | // 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] | 1574 | // a merger layer (now deprecated) and an output layer with dimensions as per the tensor infos below. |
| 1575 | // |
| 1576 | // This test verifies that we can still read back these old style |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1577 | // models replacing the MergerLayers with ConcatLayers with the same parameters. |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1578 | const std::vector<uint8_t> mergerModel = |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1579 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1580 | 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, |
| 1581 | 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 1582 | 0x38, 0x02, 0x00, 0x00, 0x8C, 0x01, 0x00, 0x00, 0x70, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1583 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 1584 | 0xF4, 0xFD, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, 0x04, 0x00, 0x00, 0x00, 0x92, 0xFE, 0xFF, 0xFF, 0x04, 0x00, |
| 1585 | 0x00, 0x00, 0x9A, 0xFE, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x7E, 0xFE, 0xFF, 0xFF, 0x03, 0x00, 0x00, 0x00, |
| 1586 | 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1587 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1588 | 0xF8, 0xFE, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x48, 0xFE, 0xFF, 0xFF, 0x00, 0x00, |
| 1589 | 0x00, 0x1F, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 1590 | 0x68, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, |
| 1591 | 0x0C, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 1592 | 0x02, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x22, 0xFF, 0xFF, 0xFF, 0x04, 0x00, |
| 1593 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1594 | 0x00, 0x00, 0x00, 0x00, 0x3E, 0xFF, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1595 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x36, 0xFF, 0xFF, 0xFF, |
| 1596 | 0x02, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x1E, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1C, 0x00, |
| 1597 | 0x00, 0x00, 0x06, 0x00, 0x00, 0x00, 0x6D, 0x65, 0x72, 0x67, 0x65, 0x72, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, |
| 1598 | 0x5C, 0x00, 0x00, 0x00, 0x40, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x34, 0xFF, |
| 1599 | 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x92, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, |
| 1600 | 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1601 | 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 1602 | 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x00, 0x00, |
| 1603 | 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0E, 0x00, |
| 1604 | 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1605 | 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0E, 0x00, |
| 1606 | 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1607 | 0x0E, 0x00, 0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x14, 0x00, 0x0E, 0x00, 0x00, 0x00, |
| 1608 | 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, |
| 1609 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, |
| 1610 | 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 1611 | 0x00, 0x00, 0x66, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1612 | 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1613 | 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, |
| 1614 | 0x04, 0x00, 0x00, 0x00, 0xF6, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x0A, 0x00, |
| 1615 | 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x14, 0x00, 0x00, 0x00, |
| 1616 | 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x0E, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, |
| 1617 | 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1618 | 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0A, 0x00, 0x00, 0x00, |
| 1619 | 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x08, 0x00, |
| 1620 | 0x07, 0x00, 0x0C, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1621 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, |
| 1622 | 0x02, 0x00, 0x00, 0x00 |
| 1623 | }; |
| 1624 | |
| 1625 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(std::string(mergerModel.begin(), mergerModel.end())); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1626 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1627 | |
| 1628 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({ 2, 3, 2, 2 }, armnn::DataType::Float32); |
| 1629 | 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] | 1630 | |
| 1631 | const std::vector<armnn::TensorShape> shapes({inputInfo.GetShape(), inputInfo.GetShape()}); |
| 1632 | |
| 1633 | armnn::OriginsDescriptor descriptor = |
Jim Flynn | 825af45 | 2019-05-20 12:49:28 +0100 | [diff] [blame] | 1634 | armnn::CreateDescriptorForConcatenation(shapes.begin(), shapes.end(), 0); |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1635 | |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1636 | MergerLayerVerifier verifier("merger", { inputInfo, inputInfo }, { outputInfo }, descriptor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1637 | deserializedNetwork->ExecuteStrategy(verifier); |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1638 | } |
| 1639 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1640 | TEST_CASE("SerializeConcat") |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1641 | { |
| 1642 | const std::string layerName("concat"); |
| 1643 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({2, 3, 2, 2}, armnn::DataType::Float32); |
| 1644 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({4, 3, 2, 2}, armnn::DataType::Float32); |
| 1645 | |
| 1646 | const std::vector<armnn::TensorShape> shapes({inputInfo.GetShape(), inputInfo.GetShape()}); |
| 1647 | |
| 1648 | armnn::OriginsDescriptor descriptor = |
| 1649 | armnn::CreateDescriptorForConcatenation(shapes.begin(), shapes.end(), 0); |
| 1650 | |
| 1651 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1652 | armnn::IConnectableLayer* const inputLayerOne = network->AddInputLayer(0); |
| 1653 | armnn::IConnectableLayer* const inputLayerTwo = network->AddInputLayer(1); |
| 1654 | armnn::IConnectableLayer* const concatLayer = network->AddConcatLayer(descriptor, layerName.c_str()); |
| 1655 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1656 | |
| 1657 | inputLayerOne->GetOutputSlot(0).Connect(concatLayer->GetInputSlot(0)); |
| 1658 | inputLayerTwo->GetOutputSlot(0).Connect(concatLayer->GetInputSlot(1)); |
| 1659 | concatLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1660 | |
| 1661 | inputLayerOne->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1662 | inputLayerTwo->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1663 | concatLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1664 | |
| 1665 | std::string concatLayerNetwork = SerializeNetwork(*network); |
| 1666 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(concatLayerNetwork); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1667 | CHECK(deserializedNetwork); |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1668 | |
| 1669 | // NOTE: using the MergerLayerVerifier to ensure that it is a concat layer and not a |
| 1670 | // merger layer that gets placed into the graph. |
| 1671 | MergerLayerVerifier verifier(layerName, {inputInfo, inputInfo}, {outputInfo}, descriptor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1672 | deserializedNetwork->ExecuteStrategy(verifier); |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1673 | } |
| 1674 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1675 | TEST_CASE("SerializeMinimum") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1676 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1677 | const std::string layerName("minimum"); |
| 1678 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 1679 | |
| 1680 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1681 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1682 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1683 | armnn::IConnectableLayer* const minimumLayer = network->AddMinimumLayer(layerName.c_str()); |
| 1684 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1685 | |
| 1686 | inputLayer0->GetOutputSlot(0).Connect(minimumLayer->GetInputSlot(0)); |
| 1687 | inputLayer1->GetOutputSlot(0).Connect(minimumLayer->GetInputSlot(1)); |
| 1688 | minimumLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1689 | |
| 1690 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1691 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 1692 | minimumLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1693 | |
| 1694 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1695 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1696 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1697 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 1698 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1699 | } |
| 1700 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1701 | TEST_CASE("SerializeMultiplication") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1702 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1703 | const std::string layerName("multiplication"); |
| 1704 | const armnn::TensorInfo info({ 1, 5, 2, 3 }, armnn::DataType::Float32); |
| 1705 | |
| 1706 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1707 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1708 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1709 | armnn::IConnectableLayer* const multiplicationLayer = network->AddMultiplicationLayer(layerName.c_str()); |
| 1710 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1711 | |
| 1712 | inputLayer0->GetOutputSlot(0).Connect(multiplicationLayer->GetInputSlot(0)); |
| 1713 | inputLayer1->GetOutputSlot(0).Connect(multiplicationLayer->GetInputSlot(1)); |
| 1714 | multiplicationLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1715 | |
| 1716 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1717 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 1718 | multiplicationLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1719 | |
| 1720 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1721 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1722 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1723 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 1724 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1725 | } |
| 1726 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1727 | TEST_CASE("SerializePrelu") |
Ellen Norris-Thompson | 5198247 | 2019-06-19 11:46:21 +0100 | [diff] [blame] | 1728 | { |
Ellen Norris-Thompson | 5198247 | 2019-06-19 11:46:21 +0100 | [diff] [blame] | 1729 | const std::string layerName("prelu"); |
| 1730 | |
| 1731 | armnn::TensorInfo inputTensorInfo ({ 4, 1, 2 }, armnn::DataType::Float32); |
| 1732 | armnn::TensorInfo alphaTensorInfo ({ 5, 4, 3, 1 }, armnn::DataType::Float32); |
| 1733 | armnn::TensorInfo outputTensorInfo({ 5, 4, 3, 2 }, armnn::DataType::Float32); |
| 1734 | |
| 1735 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1736 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1737 | armnn::IConnectableLayer* const alphaLayer = network->AddInputLayer(1); |
| 1738 | armnn::IConnectableLayer* const preluLayer = network->AddPreluLayer(layerName.c_str()); |
| 1739 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1740 | |
| 1741 | inputLayer->GetOutputSlot(0).Connect(preluLayer->GetInputSlot(0)); |
| 1742 | alphaLayer->GetOutputSlot(0).Connect(preluLayer->GetInputSlot(1)); |
| 1743 | preluLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1744 | |
| 1745 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 1746 | alphaLayer->GetOutputSlot(0).SetTensorInfo(alphaTensorInfo); |
| 1747 | preluLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1748 | |
| 1749 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1750 | CHECK(deserializedNetwork); |
Ellen Norris-Thompson | 5198247 | 2019-06-19 11:46:21 +0100 | [diff] [blame] | 1751 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1752 | LayerVerifierBase verifier(layerName, {inputTensorInfo, alphaTensorInfo}, {outputTensorInfo}); |
| 1753 | deserializedNetwork->ExecuteStrategy(verifier); |
Ellen Norris-Thompson | 5198247 | 2019-06-19 11:46:21 +0100 | [diff] [blame] | 1754 | } |
| 1755 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1756 | TEST_CASE("SerializeNormalization") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1757 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1758 | const std::string layerName("normalization"); |
| 1759 | const armnn::TensorInfo info({2, 1, 2, 2}, armnn::DataType::Float32); |
| 1760 | |
| 1761 | armnn::NormalizationDescriptor desc; |
| 1762 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 1763 | desc.m_NormSize = 3; |
| 1764 | desc.m_Alpha = 1; |
| 1765 | desc.m_Beta = 1; |
| 1766 | desc.m_K = 1; |
| 1767 | |
| 1768 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1769 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1770 | armnn::IConnectableLayer* const normalizationLayer = network->AddNormalizationLayer(desc, layerName.c_str()); |
| 1771 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1772 | |
| 1773 | inputLayer->GetOutputSlot(0).Connect(normalizationLayer->GetInputSlot(0)); |
| 1774 | normalizationLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1775 | |
| 1776 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1777 | normalizationLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1778 | |
| 1779 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1780 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1781 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1782 | LayerVerifierBaseWithDescriptor<armnn::NormalizationDescriptor> verifier(layerName, {info}, {info}, desc); |
| 1783 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1784 | } |
| 1785 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1786 | TEST_CASE("SerializePad") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1787 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1788 | const std::string layerName("pad"); |
| 1789 | const armnn::TensorInfo inputTensorInfo = armnn::TensorInfo({1, 2, 3, 4}, armnn::DataType::Float32); |
| 1790 | const armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 5, 7}, armnn::DataType::Float32); |
| 1791 | |
| 1792 | armnn::PadDescriptor desc({{0, 0}, {1, 0}, {1, 1}, {1, 2}}); |
| 1793 | |
| 1794 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1795 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1796 | armnn::IConnectableLayer* const padLayer = network->AddPadLayer(desc, layerName.c_str()); |
| 1797 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1798 | |
| 1799 | inputLayer->GetOutputSlot(0).Connect(padLayer->GetInputSlot(0)); |
| 1800 | padLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1801 | |
| 1802 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 1803 | padLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1804 | |
| 1805 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1806 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1807 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1808 | LayerVerifierBaseWithDescriptor<armnn::PadDescriptor> verifier(layerName, |
| 1809 | {inputTensorInfo}, |
| 1810 | {outputTensorInfo}, |
| 1811 | desc); |
| 1812 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1813 | } |
| 1814 | |
Matthew Sloyan | 2e5d0b2 | 2021-10-21 14:05:31 +0100 | [diff] [blame] | 1815 | TEST_CASE("SerializePadReflect") |
| 1816 | { |
| 1817 | const std::string layerName("padReflect"); |
| 1818 | const armnn::TensorInfo inputTensorInfo = armnn::TensorInfo({1, 2, 3, 4}, armnn::DataType::Float32); |
| 1819 | const armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 5, 7}, armnn::DataType::Float32); |
| 1820 | |
| 1821 | armnn::PadDescriptor desc({{0, 0}, {1, 0}, {1, 1}, {1, 2}}); |
| 1822 | desc.m_PaddingMode = armnn::PaddingMode::Reflect; |
| 1823 | |
| 1824 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1825 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1826 | armnn::IConnectableLayer* const padLayer = network->AddPadLayer(desc, layerName.c_str()); |
| 1827 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1828 | |
| 1829 | inputLayer->GetOutputSlot(0).Connect(padLayer->GetInputSlot(0)); |
| 1830 | padLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1831 | |
| 1832 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 1833 | padLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1834 | |
| 1835 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1836 | CHECK(deserializedNetwork); |
| 1837 | |
| 1838 | LayerVerifierBaseWithDescriptor<armnn::PadDescriptor> verifier(layerName, |
| 1839 | {inputTensorInfo}, |
| 1840 | {outputTensorInfo}, |
| 1841 | desc); |
| 1842 | deserializedNetwork->ExecuteStrategy(verifier); |
| 1843 | } |
| 1844 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1845 | TEST_CASE("EnsurePadBackwardCompatibility") |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1846 | { |
| 1847 | // The PadDescriptor is being extended with a float PadValue (so a value other than 0 |
| 1848 | // can be used to pad the tensor. |
| 1849 | // |
| 1850 | // This test contains a binary representation of a simple input->pad->output network |
| 1851 | // prior to this change to test that the descriptor has been updated in a backward |
| 1852 | // compatible way with respect to Deserialization of older binary dumps |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1853 | const std::vector<uint8_t> padModel = |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1854 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1855 | 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, |
| 1856 | 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 1857 | 0x54, 0x01, 0x00, 0x00, 0x6C, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1858 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0xD0, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, |
| 1859 | 0x04, 0x00, 0x00, 0x00, 0x96, 0xFF, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x9E, 0xFF, 0xFF, 0xFF, 0x04, 0x00, |
| 1860 | 0x00, 0x00, 0x72, 0xFF, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 1861 | 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, |
| 1862 | 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x2C, 0xFF, 0xFF, 0xFF, 0x01, 0x00, 0x00, 0x00, |
| 1863 | 0x00, 0x00, 0x00, 0x00, 0x24, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x16, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, |
| 1864 | 0x0E, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x4C, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, |
| 1865 | 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x08, 0x00, |
| 1866 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1867 | 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1868 | 0x0E, 0x00, 0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x14, 0x00, 0x0E, 0x00, 0x00, 0x00, |
| 1869 | 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, |
| 1870 | 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x70, 0x61, 0x64, 0x00, 0x01, 0x00, 0x00, 0x00, 0x48, 0x00, 0x00, 0x00, |
| 1871 | 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, |
| 1872 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x52, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, |
| 1873 | 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x05, 0x00, |
| 1874 | 0x00, 0x00, 0x07, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 1875 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, |
| 1876 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x04, 0x00, 0x00, 0x00, 0xF6, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, |
| 1877 | 0x00, 0x00, 0x06, 0x00, 0x0A, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1878 | 0x0E, 0x00, 0x14, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x0E, 0x00, 0x00, 0x00, |
| 1879 | 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1880 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, |
| 1881 | 0x08, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1882 | 0x0A, 0x00, 0x10, 0x00, 0x08, 0x00, 0x07, 0x00, 0x0C, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, |
| 1883 | 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1884 | 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x00 |
| 1885 | }; |
| 1886 | |
| 1887 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(std::string(padModel.begin(), padModel.end())); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1888 | CHECK(deserializedNetwork); |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1889 | |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1890 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({ 1, 2, 3, 4 }, armnn::DataType::Float32); |
| 1891 | 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] | 1892 | |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1893 | armnn::PadDescriptor descriptor({{ 0, 0 }, { 1, 0 }, { 1, 1 }, { 1, 2 }}); |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1894 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1895 | LayerVerifierBaseWithDescriptor<armnn::PadDescriptor> verifier("pad", { inputInfo }, { outputInfo }, descriptor); |
| 1896 | deserializedNetwork->ExecuteStrategy(verifier); |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1897 | } |
| 1898 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1899 | TEST_CASE("SerializePermute") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1900 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1901 | const std::string layerName("permute"); |
| 1902 | const armnn::TensorInfo inputTensorInfo({4, 3, 2, 1}, armnn::DataType::Float32); |
| 1903 | const armnn::TensorInfo outputTensorInfo({1, 2, 3, 4}, armnn::DataType::Float32); |
| 1904 | |
| 1905 | armnn::PermuteDescriptor descriptor(armnn::PermutationVector({3, 2, 1, 0})); |
| 1906 | |
| 1907 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1908 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1909 | armnn::IConnectableLayer* const permuteLayer = network->AddPermuteLayer(descriptor, layerName.c_str()); |
| 1910 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1911 | |
| 1912 | inputLayer->GetOutputSlot(0).Connect(permuteLayer->GetInputSlot(0)); |
| 1913 | permuteLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1914 | |
| 1915 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 1916 | permuteLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1917 | |
| 1918 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1919 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1920 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1921 | LayerVerifierBaseWithDescriptor<armnn::PermuteDescriptor> verifier( |
| 1922 | layerName, {inputTensorInfo}, {outputTensorInfo}, descriptor); |
| 1923 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1924 | } |
| 1925 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1926 | TEST_CASE("SerializePooling2d") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1927 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1928 | const std::string layerName("pooling2d"); |
| 1929 | const armnn::TensorInfo inputInfo({1, 2, 2, 1}, armnn::DataType::Float32); |
| 1930 | const armnn::TensorInfo outputInfo({1, 1, 1, 1}, armnn::DataType::Float32); |
| 1931 | |
| 1932 | armnn::Pooling2dDescriptor desc; |
| 1933 | desc.m_DataLayout = armnn::DataLayout::NHWC; |
| 1934 | desc.m_PadTop = 0; |
| 1935 | desc.m_PadBottom = 0; |
| 1936 | desc.m_PadLeft = 0; |
| 1937 | desc.m_PadRight = 0; |
| 1938 | desc.m_PoolType = armnn::PoolingAlgorithm::Average; |
| 1939 | desc.m_OutputShapeRounding = armnn::OutputShapeRounding::Floor; |
| 1940 | desc.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 1941 | desc.m_PoolHeight = 2; |
| 1942 | desc.m_PoolWidth = 2; |
| 1943 | desc.m_StrideX = 2; |
| 1944 | desc.m_StrideY = 2; |
| 1945 | |
| 1946 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1947 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1948 | armnn::IConnectableLayer* const pooling2dLayer = network->AddPooling2dLayer(desc, layerName.c_str()); |
| 1949 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1950 | |
| 1951 | inputLayer->GetOutputSlot(0).Connect(pooling2dLayer->GetInputSlot(0)); |
| 1952 | pooling2dLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1953 | |
| 1954 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1955 | pooling2dLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1956 | |
| 1957 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1958 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1959 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1960 | LayerVerifierBaseWithDescriptor<armnn::Pooling2dDescriptor> verifier( |
| 1961 | layerName, {inputInfo}, {outputInfo}, desc); |
| 1962 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1963 | } |
| 1964 | |
Tamas Nyiri | d998a1c | 2021-11-05 14:55:33 +0000 | [diff] [blame] | 1965 | TEST_CASE("SerializePooling3d") |
| 1966 | { |
| 1967 | const std::string layerName("pooling3d"); |
| 1968 | const armnn::TensorInfo inputInfo({1, 1, 2, 2, 2}, armnn::DataType::Float32); |
| 1969 | const armnn::TensorInfo outputInfo({1, 1, 1, 1, 1}, armnn::DataType::Float32); |
| 1970 | |
| 1971 | armnn::Pooling3dDescriptor desc; |
| 1972 | desc.m_DataLayout = armnn::DataLayout::NDHWC; |
| 1973 | desc.m_PadFront = 0; |
| 1974 | desc.m_PadBack = 0; |
| 1975 | desc.m_PadTop = 0; |
| 1976 | desc.m_PadBottom = 0; |
| 1977 | desc.m_PadLeft = 0; |
| 1978 | desc.m_PadRight = 0; |
| 1979 | desc.m_PoolType = armnn::PoolingAlgorithm::Average; |
| 1980 | desc.m_OutputShapeRounding = armnn::OutputShapeRounding::Floor; |
| 1981 | desc.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 1982 | desc.m_PoolHeight = 2; |
| 1983 | desc.m_PoolWidth = 2; |
| 1984 | desc.m_PoolDepth = 2; |
| 1985 | desc.m_StrideX = 2; |
| 1986 | desc.m_StrideY = 2; |
| 1987 | desc.m_StrideZ = 2; |
| 1988 | |
| 1989 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1990 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1991 | armnn::IConnectableLayer* const pooling3dLayer = network->AddPooling3dLayer(desc, layerName.c_str()); |
| 1992 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1993 | |
| 1994 | inputLayer->GetOutputSlot(0).Connect(pooling3dLayer->GetInputSlot(0)); |
| 1995 | pooling3dLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1996 | |
| 1997 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1998 | pooling3dLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1999 | |
| 2000 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 2001 | CHECK(deserializedNetwork); |
| 2002 | |
| 2003 | LayerVerifierBaseWithDescriptor<armnn::Pooling3dDescriptor> verifier( |
| 2004 | layerName, {inputInfo}, {outputInfo}, desc); |
| 2005 | deserializedNetwork->ExecuteStrategy(verifier); |
| 2006 | } |
| 2007 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2008 | TEST_CASE("SerializeQuantize") |
Derek Lamberti | 87acb27 | 2019-03-27 16:51:31 +0000 | [diff] [blame] | 2009 | { |
Derek Lamberti | 87acb27 | 2019-03-27 16:51:31 +0000 | [diff] [blame] | 2010 | const std::string layerName("quantize"); |
| 2011 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 2012 | |
| 2013 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2014 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2015 | armnn::IConnectableLayer* const quantizeLayer = network->AddQuantizeLayer(layerName.c_str()); |
| 2016 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2017 | |
| 2018 | inputLayer->GetOutputSlot(0).Connect(quantizeLayer->GetInputSlot(0)); |
| 2019 | quantizeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2020 | |
| 2021 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2022 | quantizeLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2023 | |
| 2024 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2025 | CHECK(deserializedNetwork); |
Derek Lamberti | 87acb27 | 2019-03-27 16:51:31 +0000 | [diff] [blame] | 2026 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2027 | LayerVerifierBase verifier(layerName, {info}, {info}); |
| 2028 | deserializedNetwork->ExecuteStrategy(verifier); |
Derek Lamberti | 87acb27 | 2019-03-27 16:51:31 +0000 | [diff] [blame] | 2029 | } |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 2030 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2031 | TEST_CASE("SerializeRank") |
Finn Williams | 2605b23 | 2020-06-10 15:53:46 +0100 | [diff] [blame] | 2032 | { |
Finn Williams | 2605b23 | 2020-06-10 15:53:46 +0100 | [diff] [blame] | 2033 | const std::string layerName("rank"); |
| 2034 | const armnn::TensorInfo inputInfo({1, 9}, armnn::DataType::Float32); |
| 2035 | const armnn::TensorInfo outputInfo({1}, armnn::DataType::Signed32); |
| 2036 | |
| 2037 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2038 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2039 | armnn::IConnectableLayer* const rankLayer = network->AddRankLayer(layerName.c_str()); |
| 2040 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2041 | |
| 2042 | inputLayer->GetOutputSlot(0).Connect(rankLayer->GetInputSlot(0)); |
| 2043 | rankLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2044 | |
| 2045 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2046 | rankLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2047 | |
| 2048 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2049 | CHECK(deserializedNetwork); |
Finn Williams | 2605b23 | 2020-06-10 15:53:46 +0100 | [diff] [blame] | 2050 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2051 | LayerVerifierBase verifier(layerName, {inputInfo}, {outputInfo}); |
| 2052 | deserializedNetwork->ExecuteStrategy(verifier); |
Finn Williams | 2605b23 | 2020-06-10 15:53:46 +0100 | [diff] [blame] | 2053 | } |
| 2054 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2055 | TEST_CASE("SerializeReduceSum") |
Sadik Armagan | 0c3ea5b | 2021-02-03 09:29:30 +0000 | [diff] [blame] | 2056 | { |
Sadik Armagan | 0c3ea5b | 2021-02-03 09:29:30 +0000 | [diff] [blame] | 2057 | const std::string layerName("Reduce_Sum"); |
| 2058 | const armnn::TensorInfo inputInfo({1, 1, 3, 2}, armnn::DataType::Float32); |
| 2059 | const armnn::TensorInfo outputInfo({1, 1, 1, 2}, armnn::DataType::Float32); |
| 2060 | |
| 2061 | armnn::ReduceDescriptor descriptor; |
| 2062 | descriptor.m_vAxis = { 2 }; |
| 2063 | descriptor.m_ReduceOperation = armnn::ReduceOperation::Sum; |
| 2064 | |
| 2065 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2066 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2067 | armnn::IConnectableLayer* const reduceSumLayer = network->AddReduceLayer(descriptor, layerName.c_str()); |
| 2068 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2069 | |
| 2070 | inputLayer->GetOutputSlot(0).Connect(reduceSumLayer->GetInputSlot(0)); |
| 2071 | reduceSumLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2072 | |
| 2073 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2074 | reduceSumLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2075 | |
| 2076 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2077 | CHECK(deserializedNetwork); |
Sadik Armagan | 0c3ea5b | 2021-02-03 09:29:30 +0000 | [diff] [blame] | 2078 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2079 | LayerVerifierBaseWithDescriptor<armnn::ReduceDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, descriptor); |
| 2080 | deserializedNetwork->ExecuteStrategy(verifier); |
Sadik Armagan | 0c3ea5b | 2021-02-03 09:29:30 +0000 | [diff] [blame] | 2081 | } |
| 2082 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2083 | TEST_CASE("SerializeReshape") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2084 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2085 | const std::string layerName("reshape"); |
| 2086 | const armnn::TensorInfo inputInfo({1, 9}, armnn::DataType::Float32); |
| 2087 | const armnn::TensorInfo outputInfo({3, 3}, armnn::DataType::Float32); |
| 2088 | |
| 2089 | armnn::ReshapeDescriptor descriptor({3, 3}); |
| 2090 | |
| 2091 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2092 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2093 | armnn::IConnectableLayer* const reshapeLayer = network->AddReshapeLayer(descriptor, layerName.c_str()); |
| 2094 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2095 | |
| 2096 | inputLayer->GetOutputSlot(0).Connect(reshapeLayer->GetInputSlot(0)); |
| 2097 | reshapeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2098 | |
| 2099 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2100 | reshapeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2101 | |
| 2102 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2103 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2104 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2105 | LayerVerifierBaseWithDescriptor<armnn::ReshapeDescriptor> verifier( |
| 2106 | layerName, {inputInfo}, {outputInfo}, descriptor); |
| 2107 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2108 | } |
| 2109 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2110 | TEST_CASE("SerializeResize") |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 2111 | { |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 2112 | const std::string layerName("resize"); |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2113 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({1, 3, 5, 5}, armnn::DataType::Float32); |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 2114 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({1, 3, 2, 4}, armnn::DataType::Float32); |
| 2115 | |
| 2116 | armnn::ResizeDescriptor desc; |
Aron Virginas-Tar | 169d2f1 | 2019-07-01 19:01:44 +0100 | [diff] [blame] | 2117 | desc.m_TargetWidth = 4; |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 2118 | desc.m_TargetHeight = 2; |
Aron Virginas-Tar | 169d2f1 | 2019-07-01 19:01:44 +0100 | [diff] [blame] | 2119 | desc.m_Method = armnn::ResizeMethod::NearestNeighbor; |
David Monahan | 4a0c9b9 | 2020-05-30 09:48:39 +0100 | [diff] [blame] | 2120 | desc.m_AlignCorners = true; |
| 2121 | desc.m_HalfPixelCenters = true; |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 2122 | |
| 2123 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2124 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2125 | armnn::IConnectableLayer* const resizeLayer = network->AddResizeLayer(desc, layerName.c_str()); |
| 2126 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2127 | |
| 2128 | inputLayer->GetOutputSlot(0).Connect(resizeLayer->GetInputSlot(0)); |
| 2129 | resizeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2130 | |
| 2131 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2132 | resizeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2133 | |
| 2134 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2135 | CHECK(deserializedNetwork); |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 2136 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2137 | LayerVerifierBaseWithDescriptor<armnn::ResizeDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, desc); |
| 2138 | deserializedNetwork->ExecuteStrategy(verifier); |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 2139 | } |
| 2140 | |
Jan Eilers | 1b2654f | 2021-09-24 15:45:46 +0100 | [diff] [blame] | 2141 | class ResizeBilinearLayerVerifier : public LayerVerifierBaseWithDescriptor<armnn::ResizeDescriptor> |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2142 | { |
| 2143 | public: |
| 2144 | ResizeBilinearLayerVerifier(const std::string& layerName, |
| 2145 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 2146 | const std::vector<armnn::TensorInfo>& outputInfos, |
Jan Eilers | 1b2654f | 2021-09-24 15:45:46 +0100 | [diff] [blame] | 2147 | const armnn::ResizeDescriptor& descriptor) |
| 2148 | : LayerVerifierBaseWithDescriptor<armnn::ResizeDescriptor>( |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2149 | layerName, inputInfos, outputInfos, descriptor) {} |
| 2150 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2151 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 2152 | const armnn::BaseDescriptor& descriptor, |
| 2153 | const std::vector<armnn::ConstTensor>& constants, |
| 2154 | const char* name, |
| 2155 | const armnn::LayerBindingId id = 0) override |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2156 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2157 | armnn::IgnoreUnused(descriptor, constants, id); |
| 2158 | switch (layer->GetType()) |
| 2159 | { |
| 2160 | case armnn::LayerType::Input: break; |
| 2161 | case armnn::LayerType::Output: break; |
| 2162 | case armnn::LayerType::Resize: |
| 2163 | { |
| 2164 | VerifyNameAndConnections(layer, name); |
| 2165 | const armnn::ResizeDescriptor& layerDescriptor = |
| 2166 | static_cast<const armnn::ResizeDescriptor&>(descriptor); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2167 | CHECK(layerDescriptor.m_Method == armnn::ResizeMethod::Bilinear); |
| 2168 | CHECK(layerDescriptor.m_TargetWidth == m_Descriptor.m_TargetWidth); |
| 2169 | CHECK(layerDescriptor.m_TargetHeight == m_Descriptor.m_TargetHeight); |
| 2170 | CHECK(layerDescriptor.m_DataLayout == m_Descriptor.m_DataLayout); |
| 2171 | CHECK(layerDescriptor.m_AlignCorners == m_Descriptor.m_AlignCorners); |
| 2172 | CHECK(layerDescriptor.m_HalfPixelCenters == m_Descriptor.m_HalfPixelCenters); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2173 | break; |
| 2174 | } |
| 2175 | default: |
| 2176 | { |
| 2177 | throw armnn::Exception("Unexpected layer type in test model. ResizeBiliniar " |
| 2178 | "should have translated to Resize"); |
| 2179 | } |
| 2180 | } |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2181 | } |
| 2182 | }; |
| 2183 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2184 | TEST_CASE("SerializeResizeBilinear") |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2185 | { |
| 2186 | const std::string layerName("resizeBilinear"); |
| 2187 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({1, 3, 5, 5}, armnn::DataType::Float32); |
| 2188 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({1, 3, 2, 4}, armnn::DataType::Float32); |
| 2189 | |
Jan Eilers | 1b2654f | 2021-09-24 15:45:46 +0100 | [diff] [blame] | 2190 | armnn::ResizeDescriptor desc; |
| 2191 | desc.m_Method = armnn::ResizeMethod::Bilinear; |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2192 | desc.m_TargetWidth = 4u; |
| 2193 | desc.m_TargetHeight = 2u; |
David Monahan | 4a0c9b9 | 2020-05-30 09:48:39 +0100 | [diff] [blame] | 2194 | desc.m_AlignCorners = true; |
| 2195 | desc.m_HalfPixelCenters = true; |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2196 | |
| 2197 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2198 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
Jan Eilers | 1b2654f | 2021-09-24 15:45:46 +0100 | [diff] [blame] | 2199 | armnn::IConnectableLayer* const resizeLayer = network->AddResizeLayer(desc, layerName.c_str()); |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2200 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2201 | |
| 2202 | inputLayer->GetOutputSlot(0).Connect(resizeLayer->GetInputSlot(0)); |
| 2203 | resizeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2204 | |
| 2205 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2206 | resizeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2207 | |
| 2208 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2209 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2210 | |
| 2211 | ResizeBilinearLayerVerifier verifier(layerName, {inputInfo}, {outputInfo}, desc); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2212 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2213 | } |
| 2214 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2215 | TEST_CASE("EnsureResizeBilinearBackwardCompatibility") |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2216 | { |
| 2217 | // The hex data below is a flat buffer containing a simple network with an input, |
Jan Eilers | 1b2654f | 2021-09-24 15:45:46 +0100 | [diff] [blame] | 2218 | // a ResizeBilinearLayer (now deprecated and removed) and an output |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2219 | // |
| 2220 | // This test verifies that we can still deserialize this old-style model by replacing |
| 2221 | // the ResizeBilinearLayer with an equivalent ResizeLayer |
| 2222 | const std::vector<uint8_t> resizeBilinearModel = |
| 2223 | { |
| 2224 | 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, |
| 2225 | 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 2226 | 0x50, 0x01, 0x00, 0x00, 0x74, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2227 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0xD4, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, |
| 2228 | 0x04, 0x00, 0x00, 0x00, 0xC2, 0xFE, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, |
| 2229 | 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x8A, 0xFF, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, |
| 2230 | 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2231 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2232 | 0x38, 0xFF, 0xFF, 0xFF, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x30, 0xFF, 0xFF, 0xFF, 0x00, 0x00, |
| 2233 | 0x00, 0x1A, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0E, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 2234 | 0x34, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x12, 0x00, 0x08, 0x00, 0x0C, 0x00, |
| 2235 | 0x07, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, |
| 2236 | 0x00, 0x00, 0x0E, 0x00, 0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x14, 0x00, 0x0E, 0x00, |
| 2237 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x19, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, |
| 2238 | 0x20, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x00, 0x00, 0x72, 0x65, 0x73, 0x69, 0x7A, 0x65, 0x42, 0x69, 0x6C, 0x69, |
| 2239 | 0x6E, 0x65, 0x61, 0x72, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x48, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, |
| 2240 | 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 2241 | 0x00, 0x00, 0x52, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2242 | 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 2243 | 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2244 | 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2245 | 0x00, 0x09, 0x04, 0x00, 0x00, 0x00, 0xF6, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, |
| 2246 | 0x0A, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x14, 0x00, |
| 2247 | 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x0E, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, |
| 2248 | 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2249 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0A, 0x00, |
| 2250 | 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, |
| 2251 | 0x08, 0x00, 0x07, 0x00, 0x0C, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, |
| 2252 | 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x05, 0x00, |
| 2253 | 0x00, 0x00, 0x05, 0x00, 0x00, 0x00 |
| 2254 | }; |
| 2255 | |
| 2256 | armnn::INetworkPtr deserializedNetwork = |
| 2257 | DeserializeNetwork(std::string(resizeBilinearModel.begin(), resizeBilinearModel.end())); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2258 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2259 | |
| 2260 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({1, 3, 5, 5}, armnn::DataType::Float32); |
| 2261 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({1, 3, 2, 4}, armnn::DataType::Float32); |
| 2262 | |
Jan Eilers | 1b2654f | 2021-09-24 15:45:46 +0100 | [diff] [blame] | 2263 | armnn::ResizeDescriptor descriptor; |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2264 | descriptor.m_TargetWidth = 4u; |
| 2265 | descriptor.m_TargetHeight = 2u; |
| 2266 | |
| 2267 | ResizeBilinearLayerVerifier verifier("resizeBilinear", { inputInfo }, { outputInfo }, descriptor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2268 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2269 | } |
| 2270 | |
Keith Davis | 3ae3f97 | 2021-05-21 16:33:48 +0100 | [diff] [blame] | 2271 | TEST_CASE("SerializeShape") |
| 2272 | { |
| 2273 | const std::string layerName("shape"); |
| 2274 | const armnn::TensorInfo inputInfo({1, 3, 3, 1}, armnn::DataType::Signed32); |
| 2275 | const armnn::TensorInfo outputInfo({ 4 }, armnn::DataType::Signed32); |
| 2276 | |
| 2277 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2278 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2279 | armnn::IConnectableLayer* const shapeLayer = network->AddShapeLayer(layerName.c_str()); |
| 2280 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2281 | |
| 2282 | inputLayer->GetOutputSlot(0).Connect(shapeLayer->GetInputSlot(0)); |
| 2283 | shapeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2284 | |
| 2285 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2286 | shapeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2287 | |
| 2288 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 2289 | CHECK(deserializedNetwork); |
| 2290 | |
| 2291 | LayerVerifierBase verifier(layerName, {inputInfo}, {outputInfo}); |
| 2292 | |
| 2293 | deserializedNetwork->ExecuteStrategy(verifier); |
| 2294 | } |
| 2295 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2296 | TEST_CASE("SerializeSlice") |
Aron Virginas-Tar | 2fda80b | 2019-09-18 13:36:52 +0100 | [diff] [blame] | 2297 | { |
Aron Virginas-Tar | 2fda80b | 2019-09-18 13:36:52 +0100 | [diff] [blame] | 2298 | const std::string layerName{"slice"}; |
| 2299 | |
| 2300 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({3, 2, 3, 1}, armnn::DataType::Float32); |
| 2301 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({2, 2, 2, 1}, armnn::DataType::Float32); |
| 2302 | |
| 2303 | armnn::SliceDescriptor descriptor({ 0, 0, 1, 0}, {2, 2, 2, 1}); |
| 2304 | |
| 2305 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2306 | |
| 2307 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2308 | armnn::IConnectableLayer* const sliceLayer = network->AddSliceLayer(descriptor, layerName.c_str()); |
| 2309 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2310 | |
| 2311 | inputLayer->GetOutputSlot(0).Connect(sliceLayer->GetInputSlot(0)); |
| 2312 | sliceLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2313 | |
| 2314 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2315 | sliceLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2316 | |
| 2317 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2318 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | 2fda80b | 2019-09-18 13:36:52 +0100 | [diff] [blame] | 2319 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2320 | LayerVerifierBaseWithDescriptor<armnn::SliceDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, descriptor); |
| 2321 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | 2fda80b | 2019-09-18 13:36:52 +0100 | [diff] [blame] | 2322 | } |
| 2323 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2324 | TEST_CASE("SerializeSoftmax") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2325 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2326 | const std::string layerName("softmax"); |
| 2327 | const armnn::TensorInfo info({1, 10}, armnn::DataType::Float32); |
| 2328 | |
| 2329 | armnn::SoftmaxDescriptor descriptor; |
| 2330 | descriptor.m_Beta = 1.0f; |
| 2331 | |
| 2332 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2333 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2334 | armnn::IConnectableLayer* const softmaxLayer = network->AddSoftmaxLayer(descriptor, layerName.c_str()); |
| 2335 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2336 | |
| 2337 | inputLayer->GetOutputSlot(0).Connect(softmaxLayer->GetInputSlot(0)); |
| 2338 | softmaxLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2339 | |
| 2340 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2341 | softmaxLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2342 | |
| 2343 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2344 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2345 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2346 | LayerVerifierBaseWithDescriptor<armnn::SoftmaxDescriptor> verifier(layerName, {info}, {info}, descriptor); |
| 2347 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2348 | } |
| 2349 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2350 | TEST_CASE("SerializeSpaceToBatchNd") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2351 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2352 | const std::string layerName("spaceToBatchNd"); |
| 2353 | const armnn::TensorInfo inputInfo({2, 1, 2, 4}, armnn::DataType::Float32); |
| 2354 | const armnn::TensorInfo outputInfo({8, 1, 1, 3}, armnn::DataType::Float32); |
| 2355 | |
| 2356 | armnn::SpaceToBatchNdDescriptor desc; |
| 2357 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 2358 | desc.m_BlockShape = {2, 2}; |
| 2359 | desc.m_PadList = {{0, 0}, {2, 0}}; |
| 2360 | |
| 2361 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2362 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2363 | armnn::IConnectableLayer* const spaceToBatchNdLayer = network->AddSpaceToBatchNdLayer(desc, layerName.c_str()); |
| 2364 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2365 | |
| 2366 | inputLayer->GetOutputSlot(0).Connect(spaceToBatchNdLayer->GetInputSlot(0)); |
| 2367 | spaceToBatchNdLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2368 | |
| 2369 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2370 | spaceToBatchNdLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2371 | |
| 2372 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2373 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2374 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2375 | LayerVerifierBaseWithDescriptor<armnn::SpaceToBatchNdDescriptor> verifier( |
| 2376 | layerName, {inputInfo}, {outputInfo}, desc); |
| 2377 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2378 | } |
| 2379 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2380 | TEST_CASE("SerializeSpaceToDepth") |
Aron Virginas-Tar | aa06714 | 2019-06-11 16:01:44 +0100 | [diff] [blame] | 2381 | { |
Aron Virginas-Tar | aa06714 | 2019-06-11 16:01:44 +0100 | [diff] [blame] | 2382 | const std::string layerName("spaceToDepth"); |
| 2383 | |
| 2384 | const armnn::TensorInfo inputInfo ({ 1, 16, 8, 3 }, armnn::DataType::Float32); |
| 2385 | const armnn::TensorInfo outputInfo({ 1, 8, 4, 12 }, armnn::DataType::Float32); |
| 2386 | |
| 2387 | armnn::SpaceToDepthDescriptor desc; |
| 2388 | desc.m_BlockSize = 2; |
| 2389 | desc.m_DataLayout = armnn::DataLayout::NHWC; |
| 2390 | |
| 2391 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2392 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2393 | armnn::IConnectableLayer* const spaceToDepthLayer = network->AddSpaceToDepthLayer(desc, layerName.c_str()); |
| 2394 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2395 | |
| 2396 | inputLayer->GetOutputSlot(0).Connect(spaceToDepthLayer->GetInputSlot(0)); |
| 2397 | spaceToDepthLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2398 | |
| 2399 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2400 | spaceToDepthLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2401 | |
| 2402 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2403 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | aa06714 | 2019-06-11 16:01:44 +0100 | [diff] [blame] | 2404 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2405 | LayerVerifierBaseWithDescriptor<armnn::SpaceToDepthDescriptor> verifier( |
| 2406 | layerName, {inputInfo}, {outputInfo}, desc); |
| 2407 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | aa06714 | 2019-06-11 16:01:44 +0100 | [diff] [blame] | 2408 | } |
| 2409 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2410 | TEST_CASE("SerializeSplitter") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2411 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2412 | const unsigned int numViews = 3; |
| 2413 | const unsigned int numDimensions = 4; |
| 2414 | const unsigned int inputShape[] = {1, 18, 4, 4}; |
| 2415 | const unsigned int outputShape[] = {1, 6, 4, 4}; |
| 2416 | |
| 2417 | // This is modelled on how the caffe parser sets up a splitter layer to partition an input along dimension one. |
| 2418 | unsigned int splitterDimSizes[4] = {static_cast<unsigned int>(inputShape[0]), |
| 2419 | static_cast<unsigned int>(inputShape[1]), |
| 2420 | static_cast<unsigned int>(inputShape[2]), |
| 2421 | static_cast<unsigned int>(inputShape[3])}; |
| 2422 | splitterDimSizes[1] /= numViews; |
| 2423 | armnn::ViewsDescriptor desc(numViews, numDimensions); |
| 2424 | |
| 2425 | for (unsigned int g = 0; g < numViews; ++g) |
| 2426 | { |
| 2427 | desc.SetViewOriginCoord(g, 1, splitterDimSizes[1] * g); |
| 2428 | |
| 2429 | for (unsigned int dimIdx=0; dimIdx < 4; dimIdx++) |
| 2430 | { |
| 2431 | desc.SetViewSize(g, dimIdx, splitterDimSizes[dimIdx]); |
| 2432 | } |
| 2433 | } |
| 2434 | |
| 2435 | const std::string layerName("splitter"); |
| 2436 | const armnn::TensorInfo inputInfo(numDimensions, inputShape, armnn::DataType::Float32); |
| 2437 | const armnn::TensorInfo outputInfo(numDimensions, outputShape, armnn::DataType::Float32); |
| 2438 | |
| 2439 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2440 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2441 | armnn::IConnectableLayer* const splitterLayer = network->AddSplitterLayer(desc, layerName.c_str()); |
| 2442 | armnn::IConnectableLayer* const outputLayer0 = network->AddOutputLayer(0); |
| 2443 | armnn::IConnectableLayer* const outputLayer1 = network->AddOutputLayer(1); |
| 2444 | armnn::IConnectableLayer* const outputLayer2 = network->AddOutputLayer(2); |
| 2445 | |
| 2446 | inputLayer->GetOutputSlot(0).Connect(splitterLayer->GetInputSlot(0)); |
| 2447 | splitterLayer->GetOutputSlot(0).Connect(outputLayer0->GetInputSlot(0)); |
| 2448 | splitterLayer->GetOutputSlot(1).Connect(outputLayer1->GetInputSlot(0)); |
| 2449 | splitterLayer->GetOutputSlot(2).Connect(outputLayer2->GetInputSlot(0)); |
| 2450 | |
| 2451 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2452 | splitterLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2453 | splitterLayer->GetOutputSlot(1).SetTensorInfo(outputInfo); |
| 2454 | splitterLayer->GetOutputSlot(2).SetTensorInfo(outputInfo); |
| 2455 | |
| 2456 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2457 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2458 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2459 | LayerVerifierBaseWithDescriptor<armnn::ViewsDescriptor> verifier( |
| 2460 | layerName, {inputInfo}, {outputInfo, outputInfo, outputInfo}, desc); |
| 2461 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2462 | } |
| 2463 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2464 | TEST_CASE("SerializeStack") |
Matthew Jackson | b5433ee | 2019-07-11 15:54:20 +0100 | [diff] [blame] | 2465 | { |
Matthew Jackson | b5433ee | 2019-07-11 15:54:20 +0100 | [diff] [blame] | 2466 | const std::string layerName("stack"); |
| 2467 | |
| 2468 | armnn::TensorInfo inputTensorInfo ({4, 3, 5}, armnn::DataType::Float32); |
| 2469 | armnn::TensorInfo outputTensorInfo({4, 3, 2, 5}, armnn::DataType::Float32); |
| 2470 | |
| 2471 | armnn::StackDescriptor descriptor(2, 2, {4, 3, 5}); |
| 2472 | |
| 2473 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2474 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(0); |
| 2475 | armnn::IConnectableLayer* const inputLayer2 = network->AddInputLayer(1); |
| 2476 | armnn::IConnectableLayer* const stackLayer = network->AddStackLayer(descriptor, layerName.c_str()); |
| 2477 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2478 | |
| 2479 | inputLayer1->GetOutputSlot(0).Connect(stackLayer->GetInputSlot(0)); |
| 2480 | inputLayer2->GetOutputSlot(0).Connect(stackLayer->GetInputSlot(1)); |
| 2481 | stackLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2482 | |
| 2483 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 2484 | inputLayer2->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 2485 | stackLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 2486 | |
| 2487 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2488 | CHECK(deserializedNetwork); |
Matthew Jackson | b5433ee | 2019-07-11 15:54:20 +0100 | [diff] [blame] | 2489 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2490 | LayerVerifierBaseWithDescriptor<armnn::StackDescriptor> verifier( |
| 2491 | layerName, {inputTensorInfo, inputTensorInfo}, {outputTensorInfo}, descriptor); |
| 2492 | deserializedNetwork->ExecuteStrategy(verifier); |
Matthew Jackson | b5433ee | 2019-07-11 15:54:20 +0100 | [diff] [blame] | 2493 | } |
| 2494 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2495 | TEST_CASE("SerializeStandIn") |
Aron Virginas-Tar | 85121a2 | 2019-10-23 10:41:35 +0100 | [diff] [blame] | 2496 | { |
Aron Virginas-Tar | 85121a2 | 2019-10-23 10:41:35 +0100 | [diff] [blame] | 2497 | const std::string layerName("standIn"); |
| 2498 | |
| 2499 | armnn::TensorInfo tensorInfo({ 1u }, armnn::DataType::Float32); |
| 2500 | armnn::StandInDescriptor descriptor(2u, 2u); |
| 2501 | |
| 2502 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2503 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 2504 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 2505 | armnn::IConnectableLayer* const standInLayer = network->AddStandInLayer(descriptor, layerName.c_str()); |
| 2506 | armnn::IConnectableLayer* const outputLayer0 = network->AddOutputLayer(0); |
| 2507 | armnn::IConnectableLayer* const outputLayer1 = network->AddOutputLayer(1); |
| 2508 | |
| 2509 | inputLayer0->GetOutputSlot(0).Connect(standInLayer->GetInputSlot(0)); |
| 2510 | inputLayer0->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 2511 | |
| 2512 | inputLayer1->GetOutputSlot(0).Connect(standInLayer->GetInputSlot(1)); |
| 2513 | inputLayer1->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 2514 | |
| 2515 | standInLayer->GetOutputSlot(0).Connect(outputLayer0->GetInputSlot(0)); |
| 2516 | standInLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 2517 | |
| 2518 | standInLayer->GetOutputSlot(1).Connect(outputLayer1->GetInputSlot(0)); |
| 2519 | standInLayer->GetOutputSlot(1).SetTensorInfo(tensorInfo); |
| 2520 | |
| 2521 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2522 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | 85121a2 | 2019-10-23 10:41:35 +0100 | [diff] [blame] | 2523 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2524 | LayerVerifierBaseWithDescriptor<armnn::StandInDescriptor> verifier( |
| 2525 | layerName, { tensorInfo, tensorInfo }, { tensorInfo, tensorInfo }, descriptor); |
| 2526 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | 85121a2 | 2019-10-23 10:41:35 +0100 | [diff] [blame] | 2527 | } |
| 2528 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2529 | TEST_CASE("SerializeStridedSlice") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2530 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2531 | const std::string layerName("stridedSlice"); |
| 2532 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({3, 2, 3, 1}, armnn::DataType::Float32); |
| 2533 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({3, 1}, armnn::DataType::Float32); |
| 2534 | |
| 2535 | armnn::StridedSliceDescriptor desc({0, 0, 1, 0}, {1, 1, 1, 1}, {1, 1, 1, 1}); |
| 2536 | desc.m_EndMask = (1 << 4) - 1; |
| 2537 | desc.m_ShrinkAxisMask = (1 << 1) | (1 << 2); |
| 2538 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 2539 | |
| 2540 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2541 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2542 | armnn::IConnectableLayer* const stridedSliceLayer = network->AddStridedSliceLayer(desc, layerName.c_str()); |
| 2543 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2544 | |
| 2545 | inputLayer->GetOutputSlot(0).Connect(stridedSliceLayer->GetInputSlot(0)); |
| 2546 | stridedSliceLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2547 | |
| 2548 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2549 | stridedSliceLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2550 | |
| 2551 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2552 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2553 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2554 | LayerVerifierBaseWithDescriptor<armnn::StridedSliceDescriptor> verifier( |
| 2555 | layerName, {inputInfo}, {outputInfo}, desc); |
| 2556 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2557 | } |
| 2558 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2559 | TEST_CASE("SerializeSubtraction") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2560 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2561 | const std::string layerName("subtraction"); |
| 2562 | const armnn::TensorInfo info({ 1, 4 }, armnn::DataType::Float32); |
| 2563 | |
| 2564 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2565 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 2566 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 2567 | armnn::IConnectableLayer* const subtractionLayer = network->AddSubtractionLayer(layerName.c_str()); |
| 2568 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2569 | |
| 2570 | inputLayer0->GetOutputSlot(0).Connect(subtractionLayer->GetInputSlot(0)); |
| 2571 | inputLayer1->GetOutputSlot(0).Connect(subtractionLayer->GetInputSlot(1)); |
| 2572 | subtractionLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2573 | |
| 2574 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 2575 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 2576 | subtractionLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2577 | |
| 2578 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2579 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2580 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2581 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 2582 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 2583 | } |
| 2584 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2585 | TEST_CASE("SerializeSwitch") |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2586 | { |
| 2587 | class SwitchLayerVerifier : public LayerVerifierBase |
| 2588 | { |
| 2589 | public: |
| 2590 | SwitchLayerVerifier(const std::string& layerName, |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 2591 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 2592 | const std::vector<armnn::TensorInfo>& outputInfos) |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2593 | : LayerVerifierBase(layerName, inputInfos, outputInfos) {} |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2594 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2595 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 2596 | const armnn::BaseDescriptor& descriptor, |
| 2597 | const std::vector<armnn::ConstTensor>& constants, |
| 2598 | const char* name, |
| 2599 | const armnn::LayerBindingId id = 0) override |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2600 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2601 | armnn::IgnoreUnused(descriptor, constants, id); |
| 2602 | switch (layer->GetType()) |
| 2603 | { |
| 2604 | case armnn::LayerType::Input: break; |
| 2605 | case armnn::LayerType::Output: break; |
| 2606 | case armnn::LayerType::Constant: break; |
| 2607 | case armnn::LayerType::Switch: |
| 2608 | { |
| 2609 | VerifyNameAndConnections(layer, name); |
| 2610 | break; |
| 2611 | } |
| 2612 | default: |
| 2613 | { |
| 2614 | throw armnn::Exception("Unexpected layer type in Switch test model"); |
| 2615 | } |
| 2616 | } |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2617 | } |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2618 | }; |
| 2619 | |
| 2620 | const std::string layerName("switch"); |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 2621 | const armnn::TensorInfo info({ 1, 4 }, armnn::DataType::Float32, 0.0f, 0, true); |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2622 | |
| 2623 | std::vector<float> constantData = GenerateRandomData<float>(info.GetNumElements()); |
| 2624 | armnn::ConstTensor constTensor(info, constantData); |
| 2625 | |
| 2626 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2627 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2628 | armnn::IConnectableLayer* const constantLayer = network->AddConstantLayer(constTensor, "constant"); |
| 2629 | armnn::IConnectableLayer* const switchLayer = network->AddSwitchLayer(layerName.c_str()); |
| 2630 | armnn::IConnectableLayer* const trueOutputLayer = network->AddOutputLayer(0); |
| 2631 | armnn::IConnectableLayer* const falseOutputLayer = network->AddOutputLayer(1); |
| 2632 | |
| 2633 | inputLayer->GetOutputSlot(0).Connect(switchLayer->GetInputSlot(0)); |
| 2634 | constantLayer->GetOutputSlot(0).Connect(switchLayer->GetInputSlot(1)); |
| 2635 | switchLayer->GetOutputSlot(0).Connect(trueOutputLayer->GetInputSlot(0)); |
| 2636 | switchLayer->GetOutputSlot(1).Connect(falseOutputLayer->GetInputSlot(0)); |
| 2637 | |
| 2638 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2639 | constantLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2640 | switchLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2641 | switchLayer->GetOutputSlot(1).SetTensorInfo(info); |
| 2642 | |
| 2643 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2644 | CHECK(deserializedNetwork); |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2645 | |
| 2646 | SwitchLayerVerifier verifier(layerName, {info, info}, {info, info}); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2647 | deserializedNetwork->ExecuteStrategy(verifier); |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2648 | } |
| 2649 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2650 | TEST_CASE("SerializeTranspose") |
Mike Kelly | c9ea45a | 2020-02-28 18:11:58 +0000 | [diff] [blame] | 2651 | { |
Mike Kelly | c9ea45a | 2020-02-28 18:11:58 +0000 | [diff] [blame] | 2652 | const std::string layerName("transpose"); |
| 2653 | const armnn::TensorInfo inputTensorInfo({4, 3, 2, 1}, armnn::DataType::Float32); |
| 2654 | const armnn::TensorInfo outputTensorInfo({1, 2, 3, 4}, armnn::DataType::Float32); |
| 2655 | |
| 2656 | armnn::TransposeDescriptor descriptor(armnn::PermutationVector({3, 2, 1, 0})); |
| 2657 | |
| 2658 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2659 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2660 | armnn::IConnectableLayer* const transposeLayer = network->AddTransposeLayer(descriptor, layerName.c_str()); |
| 2661 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2662 | |
| 2663 | inputLayer->GetOutputSlot(0).Connect(transposeLayer->GetInputSlot(0)); |
| 2664 | transposeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2665 | |
| 2666 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 2667 | transposeLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 2668 | |
| 2669 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2670 | CHECK(deserializedNetwork); |
Mike Kelly | c9ea45a | 2020-02-28 18:11:58 +0000 | [diff] [blame] | 2671 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2672 | LayerVerifierBaseWithDescriptor<armnn::TransposeDescriptor> verifier( |
| 2673 | layerName, {inputTensorInfo}, {outputTensorInfo}, descriptor); |
| 2674 | deserializedNetwork->ExecuteStrategy(verifier); |
Mike Kelly | c9ea45a | 2020-02-28 18:11:58 +0000 | [diff] [blame] | 2675 | } |
| 2676 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2677 | TEST_CASE("SerializeTransposeConvolution2d") |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2678 | { |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2679 | const std::string layerName("transposeConvolution2d"); |
| 2680 | const armnn::TensorInfo inputInfo ({ 1, 7, 7, 1 }, armnn::DataType::Float32); |
| 2681 | const armnn::TensorInfo outputInfo({ 1, 9, 9, 1 }, armnn::DataType::Float32); |
| 2682 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 2683 | const armnn::TensorInfo weightsInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32, 0.0f, 0, true); |
| 2684 | const armnn::TensorInfo biasesInfo ({ 1 }, armnn::DataType::Float32, 0.0f, 0, true); |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2685 | |
| 2686 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 2687 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 2688 | |
| 2689 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 2690 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 2691 | |
| 2692 | armnn::TransposeConvolution2dDescriptor descriptor; |
| 2693 | descriptor.m_PadLeft = 1; |
| 2694 | descriptor.m_PadRight = 1; |
| 2695 | descriptor.m_PadTop = 1; |
| 2696 | descriptor.m_PadBottom = 1; |
| 2697 | descriptor.m_StrideX = 1; |
| 2698 | descriptor.m_StrideY = 1; |
| 2699 | descriptor.m_BiasEnabled = true; |
| 2700 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 2701 | |
| 2702 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2703 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2704 | armnn::IConnectableLayer* const convLayer = |
| 2705 | network->AddTransposeConvolution2dLayer(descriptor, |
| 2706 | weights, |
| 2707 | armnn::Optional<armnn::ConstTensor>(biases), |
| 2708 | layerName.c_str()); |
| 2709 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2710 | |
| 2711 | inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0)); |
| 2712 | convLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2713 | |
| 2714 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2715 | convLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2716 | |
| 2717 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2718 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2719 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2720 | const std::vector<armnn::ConstTensor> constants {weights, biases}; |
| 2721 | LayerVerifierBaseWithDescriptorAndConstants<armnn::TransposeConvolution2dDescriptor> verifier( |
| 2722 | layerName, {inputInfo}, {outputInfo}, descriptor, constants); |
| 2723 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2724 | } |
| 2725 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2726 | TEST_CASE("SerializeDeserializeNonLinearNetwork") |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2727 | { |
| 2728 | class ConstantLayerVerifier : public LayerVerifierBase |
| 2729 | { |
| 2730 | public: |
| 2731 | ConstantLayerVerifier(const std::string& layerName, |
| 2732 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 2733 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 2734 | const armnn::ConstTensor& layerInput) |
| 2735 | : LayerVerifierBase(layerName, inputInfos, outputInfos) |
| 2736 | , m_LayerInput(layerInput) {} |
| 2737 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2738 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 2739 | const armnn::BaseDescriptor& descriptor, |
| 2740 | const std::vector<armnn::ConstTensor>& constants, |
| 2741 | const char* name, |
| 2742 | const armnn::LayerBindingId id = 0) override |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2743 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2744 | armnn::IgnoreUnused(descriptor, constants, id); |
| 2745 | switch (layer->GetType()) |
| 2746 | { |
| 2747 | case armnn::LayerType::Input: break; |
| 2748 | case armnn::LayerType::Output: break; |
| 2749 | case armnn::LayerType::Addition: break; |
| 2750 | case armnn::LayerType::Constant: |
| 2751 | { |
| 2752 | VerifyNameAndConnections(layer, name); |
| 2753 | CompareConstTensor(constants.at(0), m_LayerInput); |
| 2754 | break; |
| 2755 | } |
| 2756 | default: |
| 2757 | { |
| 2758 | throw armnn::Exception("Unexpected layer type in test model"); |
| 2759 | } |
| 2760 | } |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2761 | } |
| 2762 | |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2763 | private: |
| 2764 | armnn::ConstTensor m_LayerInput; |
| 2765 | }; |
| 2766 | |
| 2767 | const std::string layerName("constant"); |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 2768 | const armnn::TensorInfo info({ 2, 3 }, armnn::DataType::Float32, 0.0f, 0, true); |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2769 | |
| 2770 | std::vector<float> constantData = GenerateRandomData<float>(info.GetNumElements()); |
| 2771 | armnn::ConstTensor constTensor(info, constantData); |
| 2772 | |
| 2773 | armnn::INetworkPtr network(armnn::INetwork::Create()); |
| 2774 | armnn::IConnectableLayer* input = network->AddInputLayer(0); |
| 2775 | armnn::IConnectableLayer* add = network->AddAdditionLayer(); |
| 2776 | armnn::IConnectableLayer* constant = network->AddConstantLayer(constTensor, layerName.c_str()); |
| 2777 | armnn::IConnectableLayer* output = network->AddOutputLayer(0); |
| 2778 | |
| 2779 | input->GetOutputSlot(0).Connect(add->GetInputSlot(0)); |
| 2780 | constant->GetOutputSlot(0).Connect(add->GetInputSlot(1)); |
| 2781 | add->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| 2782 | |
| 2783 | input->GetOutputSlot(0).SetTensorInfo(info); |
| 2784 | constant->GetOutputSlot(0).SetTensorInfo(info); |
| 2785 | add->GetOutputSlot(0).SetTensorInfo(info); |
| 2786 | |
| 2787 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2788 | CHECK(deserializedNetwork); |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2789 | |
| 2790 | ConstantLayerVerifier verifier(layerName, {}, {info}, constTensor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2791 | deserializedNetwork->ExecuteStrategy(verifier); |
James Conroy | 8d33318 | 2020-05-13 10:27:58 +0100 | [diff] [blame] | 2792 | } |
| 2793 | |
Teresa Charlin | 50de4fa | 2021-05-31 18:47:33 +0100 | [diff] [blame] | 2794 | } |