Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 1 | // |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 2 | // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 6 | #include "../Serializer.hpp" |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 7 | #include "SerializerTestUtils.hpp" |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 8 | |
Matthew Bentham | ff130e2 | 2020-01-17 11:47:42 +0000 | [diff] [blame] | 9 | #include <armnn/Descriptors.hpp> |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 10 | #include <armnn/INetwork.hpp> |
Matthew Bentham | ff130e2 | 2020-01-17 11:47:42 +0000 | [diff] [blame] | 11 | #include <armnn/TypesUtils.hpp> |
| 12 | #include <armnn/LstmParams.hpp> |
| 13 | #include <armnn/QuantizedLstmParams.hpp> |
Derek Lamberti | 0028d1b | 2019-02-20 13:57:42 +0000 | [diff] [blame] | 14 | #include <armnnDeserializer/IDeserializer.hpp> |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 15 | #include <armnn/utility/IgnoreUnused.hpp> |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 16 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 17 | #include <random> |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 18 | #include <vector> |
| 19 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 20 | #include <doctest/doctest.h> |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 21 | |
Derek Lamberti | 0028d1b | 2019-02-20 13:57:42 +0000 | [diff] [blame] | 22 | using armnnDeserializer::IDeserializer; |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 23 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 24 | TEST_SUITE("SerializerTests") |
| 25 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 26 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 27 | TEST_CASE("SerializeAddition") |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 28 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 29 | const std::string layerName("addition"); |
| 30 | const armnn::TensorInfo tensorInfo({1, 2, 3}, armnn::DataType::Float32); |
| 31 | |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 32 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 33 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 34 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 35 | armnn::IConnectableLayer* const additionLayer = network->AddAdditionLayer(layerName.c_str()); |
| 36 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 37 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 38 | inputLayer0->GetOutputSlot(0).Connect(additionLayer->GetInputSlot(0)); |
| 39 | inputLayer1->GetOutputSlot(0).Connect(additionLayer->GetInputSlot(1)); |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 40 | additionLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 41 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 42 | inputLayer0->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 43 | inputLayer1->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 44 | additionLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
Jim Flynn | 3091b06 | 2019-02-15 14:45:04 +0000 | [diff] [blame] | 45 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 46 | std::string serializedNetwork = SerializeNetwork(*network); |
| 47 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(serializedNetwork); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 48 | CHECK(deserializedNetwork); |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 49 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 50 | LayerVerifierBase verifier(layerName, {tensorInfo, tensorInfo}, {tensorInfo}); |
| 51 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 52 | } |
Jim Flynn | ac25a1b | 2019-02-28 10:40:49 +0000 | [diff] [blame] | 53 | |
Mike Kelly | 1f140f7 | 2021-04-06 12:25:55 +0100 | [diff] [blame] | 54 | void SerializeArgMinMaxTest(armnn::DataType dataType) |
Narumol Prangnawarat | 0cfcf23 | 2019-09-09 17:16:24 +0100 | [diff] [blame] | 55 | { |
Narumol Prangnawarat | 0cfcf23 | 2019-09-09 17:16:24 +0100 | [diff] [blame] | 56 | const std::string layerName("argminmax"); |
| 57 | const armnn::TensorInfo inputInfo({1, 2, 3}, armnn::DataType::Float32); |
Mike Kelly | 1f140f7 | 2021-04-06 12:25:55 +0100 | [diff] [blame] | 58 | const armnn::TensorInfo outputInfo({1, 3}, dataType); |
Narumol Prangnawarat | 0cfcf23 | 2019-09-09 17:16:24 +0100 | [diff] [blame] | 59 | |
| 60 | armnn::ArgMinMaxDescriptor descriptor; |
| 61 | descriptor.m_Function = armnn::ArgMinMaxFunction::Max; |
| 62 | descriptor.m_Axis = 1; |
| 63 | |
| 64 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 65 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 66 | armnn::IConnectableLayer* const argMinMaxLayer = network->AddArgMinMaxLayer(descriptor, layerName.c_str()); |
| 67 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 68 | |
| 69 | inputLayer->GetOutputSlot(0).Connect(argMinMaxLayer->GetInputSlot(0)); |
| 70 | argMinMaxLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 71 | |
| 72 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 73 | argMinMaxLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 74 | |
| 75 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 76 | CHECK(deserializedNetwork); |
Narumol Prangnawarat | 0cfcf23 | 2019-09-09 17:16:24 +0100 | [diff] [blame] | 77 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 78 | LayerVerifierBaseWithDescriptor<armnn::ArgMinMaxDescriptor> verifier(layerName, |
| 79 | {inputInfo}, |
| 80 | {outputInfo}, |
| 81 | descriptor); |
| 82 | deserializedNetwork->ExecuteStrategy(verifier); |
Narumol Prangnawarat | 0cfcf23 | 2019-09-09 17:16:24 +0100 | [diff] [blame] | 83 | } |
| 84 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 85 | TEST_CASE("SerializeArgMinMaxSigned32") |
Mike Kelly | 1f140f7 | 2021-04-06 12:25:55 +0100 | [diff] [blame] | 86 | { |
| 87 | SerializeArgMinMaxTest(armnn::DataType::Signed32); |
| 88 | } |
| 89 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 90 | TEST_CASE("SerializeArgMinMaxSigned64") |
Mike Kelly | 1f140f7 | 2021-04-06 12:25:55 +0100 | [diff] [blame] | 91 | { |
| 92 | SerializeArgMinMaxTest(armnn::DataType::Signed64); |
| 93 | } |
| 94 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 95 | TEST_CASE("SerializeBatchNormalization") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 96 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 97 | const std::string layerName("batchNormalization"); |
| 98 | const armnn::TensorInfo inputInfo ({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
| 99 | const armnn::TensorInfo outputInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
| 100 | |
| 101 | const armnn::TensorInfo meanInfo({1}, armnn::DataType::Float32); |
| 102 | const armnn::TensorInfo varianceInfo({1}, armnn::DataType::Float32); |
| 103 | const armnn::TensorInfo betaInfo({1}, armnn::DataType::Float32); |
| 104 | const armnn::TensorInfo gammaInfo({1}, armnn::DataType::Float32); |
| 105 | |
| 106 | armnn::BatchNormalizationDescriptor descriptor; |
| 107 | descriptor.m_Eps = 0.0010000000475f; |
| 108 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 109 | |
| 110 | std::vector<float> meanData({5.0}); |
| 111 | std::vector<float> varianceData({2.0}); |
| 112 | std::vector<float> betaData({1.0}); |
| 113 | std::vector<float> gammaData({0.0}); |
| 114 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 115 | std::vector<armnn::ConstTensor> constants; |
| 116 | constants.emplace_back(armnn::ConstTensor(meanInfo, meanData)); |
| 117 | constants.emplace_back(armnn::ConstTensor(varianceInfo, varianceData)); |
| 118 | constants.emplace_back(armnn::ConstTensor(betaInfo, betaData)); |
| 119 | constants.emplace_back(armnn::ConstTensor(gammaInfo, gammaData)); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 120 | |
| 121 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 122 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 123 | armnn::IConnectableLayer* const batchNormalizationLayer = |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 124 | network->AddBatchNormalizationLayer(descriptor, |
| 125 | constants[0], |
| 126 | constants[1], |
| 127 | constants[2], |
| 128 | constants[3], |
| 129 | layerName.c_str()); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 130 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 131 | |
| 132 | inputLayer->GetOutputSlot(0).Connect(batchNormalizationLayer->GetInputSlot(0)); |
| 133 | batchNormalizationLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 134 | |
| 135 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 136 | batchNormalizationLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 137 | |
| 138 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 139 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 140 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 141 | LayerVerifierBaseWithDescriptorAndConstants<armnn::BatchNormalizationDescriptor> verifier( |
| 142 | layerName, {inputInfo}, {outputInfo}, descriptor, constants); |
| 143 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 144 | } |
| 145 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 146 | TEST_CASE("SerializeBatchToSpaceNd") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 147 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 148 | const std::string layerName("spaceToBatchNd"); |
| 149 | const armnn::TensorInfo inputInfo({4, 1, 2, 2}, armnn::DataType::Float32); |
| 150 | const armnn::TensorInfo outputInfo({1, 1, 4, 4}, armnn::DataType::Float32); |
| 151 | |
| 152 | armnn::BatchToSpaceNdDescriptor desc; |
| 153 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 154 | desc.m_BlockShape = {2, 2}; |
| 155 | desc.m_Crops = {{0, 0}, {0, 0}}; |
| 156 | |
| 157 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 158 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 159 | armnn::IConnectableLayer* const batchToSpaceNdLayer = network->AddBatchToSpaceNdLayer(desc, layerName.c_str()); |
| 160 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 161 | |
| 162 | inputLayer->GetOutputSlot(0).Connect(batchToSpaceNdLayer->GetInputSlot(0)); |
| 163 | batchToSpaceNdLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 164 | |
| 165 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 166 | batchToSpaceNdLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 167 | |
| 168 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 169 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 170 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 171 | LayerVerifierBaseWithDescriptor<armnn::BatchToSpaceNdDescriptor> verifier(layerName, |
| 172 | {inputInfo}, |
| 173 | {outputInfo}, |
| 174 | desc); |
| 175 | deserializedNetwork->ExecuteStrategy(verifier); |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 176 | } |
| 177 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 178 | TEST_CASE("SerializeCast") |
mathad01 | b392e98 | 2021-04-07 12:07:30 +0100 | [diff] [blame] | 179 | { |
| 180 | const std::string layerName("cast"); |
| 181 | |
| 182 | const armnn::TensorShape shape{1, 5, 2, 3}; |
| 183 | |
| 184 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Signed32); |
| 185 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Float32); |
| 186 | |
| 187 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 188 | armnn::IConnectableLayer* inputLayer = network->AddInputLayer(0); |
| 189 | armnn::IConnectableLayer* castLayer = network->AddCastLayer(layerName.c_str()); |
| 190 | armnn::IConnectableLayer* outputLayer = network->AddOutputLayer(0); |
| 191 | |
| 192 | inputLayer->GetOutputSlot(0).Connect(castLayer->GetInputSlot(0)); |
| 193 | castLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 194 | |
| 195 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 196 | castLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 197 | |
| 198 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 199 | CHECK(deserializedNetwork); |
mathad01 | b392e98 | 2021-04-07 12:07:30 +0100 | [diff] [blame] | 200 | |
| 201 | LayerVerifierBase verifier(layerName, {inputInfo}, {outputInfo}); |
| 202 | deserializedNetwork->ExecuteStrategy(verifier); |
| 203 | } |
| 204 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 205 | TEST_CASE("SerializeComparison") |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 206 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 207 | const std::string layerName("comparison"); |
| 208 | |
| 209 | const armnn::TensorShape shape{2, 1, 2, 4}; |
| 210 | |
| 211 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Float32); |
| 212 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Boolean); |
| 213 | |
| 214 | armnn::ComparisonDescriptor descriptor(armnn::ComparisonOperation::NotEqual); |
| 215 | |
| 216 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 217 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 218 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 219 | armnn::IConnectableLayer* const comparisonLayer = network->AddComparisonLayer(descriptor, layerName.c_str()); |
| 220 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 221 | |
| 222 | inputLayer0->GetOutputSlot(0).Connect(comparisonLayer->GetInputSlot(0)); |
| 223 | inputLayer1->GetOutputSlot(0).Connect(comparisonLayer->GetInputSlot(1)); |
| 224 | comparisonLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 225 | |
| 226 | inputLayer0->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 227 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 228 | comparisonLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 229 | |
| 230 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 231 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 232 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 233 | LayerVerifierBaseWithDescriptor<armnn::ComparisonDescriptor> verifier(layerName, |
| 234 | { inputInfo, inputInfo }, |
| 235 | { outputInfo }, |
| 236 | descriptor); |
| 237 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 238 | } |
| 239 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 240 | TEST_CASE("SerializeConstant") |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 241 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 242 | class ConstantLayerVerifier : public LayerVerifierBase |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 243 | { |
| 244 | public: |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 245 | ConstantLayerVerifier(const std::string& layerName, |
| 246 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 247 | const std::vector<armnn::TensorInfo>& outputInfos, |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 248 | const std::vector<armnn::ConstTensor>& constants) |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 249 | : LayerVerifierBase(layerName, inputInfos, outputInfos) |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 250 | , m_Constants(constants) {} |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 251 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 252 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 253 | const armnn::BaseDescriptor& descriptor, |
| 254 | const std::vector<armnn::ConstTensor>& constants, |
| 255 | const char* name, |
| 256 | const armnn::LayerBindingId id = 0) override |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 257 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 258 | armnn::IgnoreUnused(descriptor, id); |
| 259 | |
| 260 | switch (layer->GetType()) |
| 261 | { |
| 262 | case armnn::LayerType::Input: break; |
| 263 | case armnn::LayerType::Output: break; |
| 264 | case armnn::LayerType::Addition: break; |
| 265 | default: |
| 266 | { |
| 267 | this->VerifyNameAndConnections(layer, name); |
| 268 | |
| 269 | for (std::size_t i = 0; i < constants.size(); i++) |
| 270 | { |
| 271 | CompareConstTensor(constants[i], m_Constants[i]); |
| 272 | } |
| 273 | } |
| 274 | } |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 275 | } |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 276 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 277 | private: |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 278 | const std::vector<armnn::ConstTensor> m_Constants; |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 279 | }; |
| 280 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 281 | const std::string layerName("constant"); |
| 282 | const armnn::TensorInfo info({ 2, 3 }, armnn::DataType::Float32); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 283 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 284 | std::vector<float> constantData = GenerateRandomData<float>(info.GetNumElements()); |
| 285 | armnn::ConstTensor constTensor(info, constantData); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 286 | |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 287 | armnn::INetworkPtr network(armnn::INetwork::Create()); |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 288 | armnn::IConnectableLayer* input = network->AddInputLayer(0); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 289 | armnn::IConnectableLayer* constant = network->AddConstantLayer(constTensor, layerName.c_str()); |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 290 | armnn::IConnectableLayer* add = network->AddAdditionLayer(); |
| 291 | armnn::IConnectableLayer* output = network->AddOutputLayer(0); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 292 | |
| 293 | input->GetOutputSlot(0).Connect(add->GetInputSlot(0)); |
| 294 | constant->GetOutputSlot(0).Connect(add->GetInputSlot(1)); |
| 295 | add->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| 296 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 297 | input->GetOutputSlot(0).SetTensorInfo(info); |
| 298 | constant->GetOutputSlot(0).SetTensorInfo(info); |
| 299 | add->GetOutputSlot(0).SetTensorInfo(info); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 300 | |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 301 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 302 | CHECK(deserializedNetwork); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 303 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 304 | ConstantLayerVerifier verifier(layerName, {}, {info}, {constTensor}); |
| 305 | deserializedNetwork->ExecuteStrategy(verifier); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 306 | } |
| 307 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 308 | TEST_CASE("SerializeConvolution2d") |
Finn Williams | dd2ba7e | 2019-03-01 11:51:52 +0000 | [diff] [blame] | 309 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 310 | const std::string layerName("convolution2d"); |
| 311 | const armnn::TensorInfo inputInfo ({ 1, 5, 5, 1 }, armnn::DataType::Float32); |
| 312 | const armnn::TensorInfo outputInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
Saoirse Stewart | 263829c | 2019-02-19 15:54:14 +0000 | [diff] [blame] | 313 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 314 | const armnn::TensorInfo weightsInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
| 315 | const armnn::TensorInfo biasesInfo ({ 1 }, armnn::DataType::Float32); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 316 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 317 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 318 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 319 | |
| 320 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 321 | armnn::ConstTensor biases(biasesInfo, biasesData); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 322 | |
| 323 | armnn::Convolution2dDescriptor descriptor; |
| 324 | descriptor.m_PadLeft = 1; |
| 325 | descriptor.m_PadRight = 1; |
| 326 | descriptor.m_PadTop = 1; |
| 327 | descriptor.m_PadBottom = 1; |
| 328 | descriptor.m_StrideX = 2; |
| 329 | descriptor.m_StrideY = 2; |
Aron Virginas-Tar | 5e1b0cf | 2019-06-21 14:20:11 +0100 | [diff] [blame] | 330 | descriptor.m_DilationX = 2; |
| 331 | descriptor.m_DilationY = 2; |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 332 | descriptor.m_BiasEnabled = true; |
| 333 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 334 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 335 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 336 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 337 | armnn::IConnectableLayer* const convLayer = |
Matteo Martincigh | fc598e1 | 2019-05-14 10:36:13 +0100 | [diff] [blame] | 338 | network->AddConvolution2dLayer(descriptor, |
| 339 | weights, |
| 340 | armnn::Optional<armnn::ConstTensor>(biases), |
| 341 | layerName.c_str()); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 342 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 343 | |
| 344 | inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0)); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 345 | convLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 346 | |
| 347 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 348 | convLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 349 | |
| 350 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 351 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 352 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 353 | const std::vector<armnn::ConstTensor>& constants {weights, biases}; |
| 354 | LayerVerifierBaseWithDescriptorAndConstants<armnn::Convolution2dDescriptor> verifier( |
| 355 | layerName, {inputInfo}, {outputInfo}, descriptor, constants); |
| 356 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 357 | } |
| 358 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 359 | TEST_CASE("SerializeConvolution2dWithPerAxisParams") |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 360 | { |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 361 | using namespace armnn; |
| 362 | |
| 363 | const std::string layerName("convolution2dWithPerAxis"); |
| 364 | const TensorInfo inputInfo ({ 1, 3, 1, 2 }, DataType::QAsymmU8, 0.55f, 128); |
| 365 | const TensorInfo outputInfo({ 1, 3, 1, 3 }, DataType::QAsymmU8, 0.75f, 128); |
| 366 | |
| 367 | const std::vector<float> quantScales{ 0.75f, 0.65f, 0.85f }; |
| 368 | constexpr unsigned int quantDimension = 0; |
| 369 | |
| 370 | const TensorInfo kernelInfo({ 3, 1, 1, 2 }, DataType::QSymmS8, quantScales, quantDimension); |
| 371 | |
| 372 | const std::vector<float> biasQuantScales{ 0.25f, 0.50f, 0.75f }; |
| 373 | const TensorInfo biasInfo({ 3 }, DataType::Signed32, biasQuantScales, quantDimension); |
| 374 | |
| 375 | std::vector<int8_t> kernelData = GenerateRandomData<int8_t>(kernelInfo.GetNumElements()); |
| 376 | armnn::ConstTensor weights(kernelInfo, kernelData); |
| 377 | std::vector<int32_t> biasData = GenerateRandomData<int32_t>(biasInfo.GetNumElements()); |
| 378 | armnn::ConstTensor biases(biasInfo, biasData); |
| 379 | |
| 380 | Convolution2dDescriptor descriptor; |
| 381 | descriptor.m_StrideX = 1; |
| 382 | descriptor.m_StrideY = 1; |
| 383 | descriptor.m_PadLeft = 0; |
| 384 | descriptor.m_PadRight = 0; |
| 385 | descriptor.m_PadTop = 0; |
| 386 | descriptor.m_PadBottom = 0; |
| 387 | descriptor.m_BiasEnabled = true; |
| 388 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 389 | |
| 390 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 391 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 392 | armnn::IConnectableLayer* const convLayer = |
| 393 | network->AddConvolution2dLayer(descriptor, |
| 394 | weights, |
| 395 | armnn::Optional<armnn::ConstTensor>(biases), |
| 396 | layerName.c_str()); |
| 397 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 398 | |
| 399 | inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0)); |
| 400 | convLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 401 | |
| 402 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 403 | convLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 404 | |
| 405 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 406 | CHECK(deserializedNetwork); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 407 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 408 | const std::vector<armnn::ConstTensor>& constants {weights, biases}; |
| 409 | LayerVerifierBaseWithDescriptorAndConstants<Convolution2dDescriptor> verifier( |
| 410 | layerName, {inputInfo}, {outputInfo}, descriptor, constants); |
| 411 | deserializedNetwork->ExecuteStrategy(verifier); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 412 | } |
| 413 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 414 | TEST_CASE("SerializeDepthToSpace") |
Aron Virginas-Tar | da9d2d3 | 2019-09-20 10:42:02 +0100 | [diff] [blame] | 415 | { |
Aron Virginas-Tar | da9d2d3 | 2019-09-20 10:42:02 +0100 | [diff] [blame] | 416 | const std::string layerName("depthToSpace"); |
| 417 | |
| 418 | const armnn::TensorInfo inputInfo ({ 1, 8, 4, 12 }, armnn::DataType::Float32); |
| 419 | const armnn::TensorInfo outputInfo({ 1, 16, 8, 3 }, armnn::DataType::Float32); |
| 420 | |
| 421 | armnn::DepthToSpaceDescriptor desc; |
| 422 | desc.m_BlockSize = 2; |
| 423 | desc.m_DataLayout = armnn::DataLayout::NHWC; |
| 424 | |
| 425 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 426 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 427 | armnn::IConnectableLayer* const depthToSpaceLayer = network->AddDepthToSpaceLayer(desc, layerName.c_str()); |
| 428 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 429 | |
| 430 | inputLayer->GetOutputSlot(0).Connect(depthToSpaceLayer->GetInputSlot(0)); |
| 431 | depthToSpaceLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 432 | |
| 433 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 434 | depthToSpaceLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 435 | |
| 436 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 437 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | da9d2d3 | 2019-09-20 10:42:02 +0100 | [diff] [blame] | 438 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 439 | LayerVerifierBaseWithDescriptor<armnn::DepthToSpaceDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, desc); |
| 440 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | da9d2d3 | 2019-09-20 10:42:02 +0100 | [diff] [blame] | 441 | } |
| 442 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 443 | TEST_CASE("SerializeDepthwiseConvolution2d") |
Conor Kennedy | 79ffdf5 | 2019-03-01 14:24:54 +0000 | [diff] [blame] | 444 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 445 | const std::string layerName("depwiseConvolution2d"); |
| 446 | const armnn::TensorInfo inputInfo ({ 1, 5, 5, 3 }, armnn::DataType::Float32); |
| 447 | const armnn::TensorInfo outputInfo({ 1, 3, 3, 3 }, armnn::DataType::Float32); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 448 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 449 | const armnn::TensorInfo weightsInfo({ 1, 3, 3, 3 }, armnn::DataType::Float32); |
| 450 | const armnn::TensorInfo biasesInfo ({ 3 }, armnn::DataType::Float32); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 451 | |
| 452 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 453 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 454 | |
| 455 | std::vector<int32_t> biasesData = GenerateRandomData<int32_t>(biasesInfo.GetNumElements()); |
| 456 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 457 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 458 | armnn::DepthwiseConvolution2dDescriptor descriptor; |
Aron Virginas-Tar | 5e1b0cf | 2019-06-21 14:20:11 +0100 | [diff] [blame] | 459 | descriptor.m_PadLeft = 1; |
| 460 | descriptor.m_PadRight = 1; |
| 461 | descriptor.m_PadTop = 1; |
| 462 | descriptor.m_PadBottom = 1; |
| 463 | descriptor.m_StrideX = 2; |
| 464 | descriptor.m_StrideY = 2; |
| 465 | descriptor.m_DilationX = 2; |
| 466 | descriptor.m_DilationY = 2; |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 467 | descriptor.m_BiasEnabled = true; |
| 468 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 469 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 470 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 471 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 472 | armnn::IConnectableLayer* const depthwiseConvLayer = |
Matteo Martincigh | fc598e1 | 2019-05-14 10:36:13 +0100 | [diff] [blame] | 473 | network->AddDepthwiseConvolution2dLayer(descriptor, |
| 474 | weights, |
| 475 | armnn::Optional<armnn::ConstTensor>(biases), |
| 476 | layerName.c_str()); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 477 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 478 | |
| 479 | inputLayer->GetOutputSlot(0).Connect(depthwiseConvLayer->GetInputSlot(0)); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 480 | depthwiseConvLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 481 | |
| 482 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 483 | depthwiseConvLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 484 | |
| 485 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 486 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 487 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 488 | const std::vector<armnn::ConstTensor>& constants {weights, biases}; |
| 489 | LayerVerifierBaseWithDescriptorAndConstants<armnn::DepthwiseConvolution2dDescriptor> verifier( |
| 490 | layerName, {inputInfo}, {outputInfo}, descriptor, constants); |
| 491 | deserializedNetwork->ExecuteStrategy(verifier); |
Jim Flynn | 18ce338 | 2019-03-08 11:08:30 +0000 | [diff] [blame] | 492 | } |
| 493 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 494 | TEST_CASE("SerializeDepthwiseConvolution2dWithPerAxisParams") |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 495 | { |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 496 | using namespace armnn; |
| 497 | |
| 498 | const std::string layerName("depwiseConvolution2dWithPerAxis"); |
| 499 | const TensorInfo inputInfo ({ 1, 3, 3, 2 }, DataType::QAsymmU8, 0.55f, 128); |
| 500 | const TensorInfo outputInfo({ 1, 2, 2, 4 }, DataType::QAsymmU8, 0.75f, 128); |
| 501 | |
| 502 | const std::vector<float> quantScales{ 0.75f, 0.80f, 0.90f, 0.95f }; |
| 503 | const unsigned int quantDimension = 0; |
| 504 | TensorInfo kernelInfo({ 2, 2, 2, 2 }, DataType::QSymmS8, quantScales, quantDimension); |
| 505 | |
| 506 | const std::vector<float> biasQuantScales{ 0.25f, 0.35f, 0.45f, 0.55f }; |
| 507 | constexpr unsigned int biasQuantDimension = 0; |
| 508 | TensorInfo biasInfo({ 4 }, DataType::Signed32, biasQuantScales, biasQuantDimension); |
| 509 | |
| 510 | std::vector<int8_t> kernelData = GenerateRandomData<int8_t>(kernelInfo.GetNumElements()); |
| 511 | armnn::ConstTensor weights(kernelInfo, kernelData); |
| 512 | std::vector<int32_t> biasData = GenerateRandomData<int32_t>(biasInfo.GetNumElements()); |
| 513 | armnn::ConstTensor biases(biasInfo, biasData); |
| 514 | |
| 515 | DepthwiseConvolution2dDescriptor descriptor; |
| 516 | descriptor.m_StrideX = 1; |
| 517 | descriptor.m_StrideY = 1; |
| 518 | descriptor.m_PadLeft = 0; |
| 519 | descriptor.m_PadRight = 0; |
| 520 | descriptor.m_PadTop = 0; |
| 521 | descriptor.m_PadBottom = 0; |
| 522 | descriptor.m_DilationX = 1; |
| 523 | descriptor.m_DilationY = 1; |
| 524 | descriptor.m_BiasEnabled = true; |
| 525 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 526 | |
| 527 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 528 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 529 | armnn::IConnectableLayer* const depthwiseConvLayer = |
| 530 | network->AddDepthwiseConvolution2dLayer(descriptor, |
| 531 | weights, |
| 532 | armnn::Optional<armnn::ConstTensor>(biases), |
| 533 | layerName.c_str()); |
| 534 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 535 | |
| 536 | inputLayer->GetOutputSlot(0).Connect(depthwiseConvLayer->GetInputSlot(0)); |
| 537 | depthwiseConvLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 538 | |
| 539 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 540 | depthwiseConvLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 541 | |
| 542 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 543 | CHECK(deserializedNetwork); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 544 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 545 | const std::vector<armnn::ConstTensor>& constants {weights, biases}; |
| 546 | LayerVerifierBaseWithDescriptorAndConstants<armnn::DepthwiseConvolution2dDescriptor> verifier( |
| 547 | layerName, {inputInfo}, {outputInfo}, descriptor, constants); |
| 548 | deserializedNetwork->ExecuteStrategy(verifier); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 549 | } |
| 550 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 551 | TEST_CASE("SerializeDequantize") |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 552 | { |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 553 | const std::string layerName("dequantize"); |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 554 | 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] | 555 | const armnn::TensorInfo outputInfo({ 1, 5, 2, 3 }, armnn::DataType::Float32); |
| 556 | |
| 557 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 558 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 559 | armnn::IConnectableLayer* const dequantizeLayer = network->AddDequantizeLayer(layerName.c_str()); |
| 560 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 561 | |
| 562 | inputLayer->GetOutputSlot(0).Connect(dequantizeLayer->GetInputSlot(0)); |
| 563 | dequantizeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 564 | |
| 565 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 566 | dequantizeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 567 | |
| 568 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 569 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 570 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 571 | LayerVerifierBase verifier(layerName, {inputInfo}, {outputInfo}); |
| 572 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 573 | } |
| 574 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 575 | TEST_CASE("SerializeDeserializeDetectionPostProcess") |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 576 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 577 | const std::string layerName("detectionPostProcess"); |
| 578 | |
| 579 | const std::vector<armnn::TensorInfo> inputInfos({ |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 580 | armnn::TensorInfo({ 1, 6, 4 }, armnn::DataType::Float32), |
| 581 | armnn::TensorInfo({ 1, 6, 3}, armnn::DataType::Float32) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 582 | }); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 583 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 584 | const std::vector<armnn::TensorInfo> outputInfos({ |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 585 | armnn::TensorInfo({ 1, 3, 4 }, armnn::DataType::Float32), |
| 586 | armnn::TensorInfo({ 1, 3 }, armnn::DataType::Float32), |
| 587 | armnn::TensorInfo({ 1, 3 }, armnn::DataType::Float32), |
| 588 | armnn::TensorInfo({ 1 }, armnn::DataType::Float32) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 589 | }); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 590 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 591 | armnn::DetectionPostProcessDescriptor descriptor; |
| 592 | descriptor.m_UseRegularNms = true; |
| 593 | descriptor.m_MaxDetections = 3; |
| 594 | descriptor.m_MaxClassesPerDetection = 1; |
| 595 | descriptor.m_DetectionsPerClass =1; |
| 596 | descriptor.m_NmsScoreThreshold = 0.0; |
| 597 | descriptor.m_NmsIouThreshold = 0.5; |
| 598 | descriptor.m_NumClasses = 2; |
| 599 | descriptor.m_ScaleY = 10.0; |
| 600 | descriptor.m_ScaleX = 10.0; |
| 601 | descriptor.m_ScaleH = 5.0; |
| 602 | descriptor.m_ScaleW = 5.0; |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 603 | |
| 604 | const armnn::TensorInfo anchorsInfo({ 6, 4 }, armnn::DataType::Float32); |
| 605 | const std::vector<float> anchorsData({ |
| 606 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 607 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 608 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 609 | 0.5f, 10.5f, 1.0f, 1.0f, |
| 610 | 0.5f, 10.5f, 1.0f, 1.0f, |
| 611 | 0.5f, 100.5f, 1.0f, 1.0f |
| 612 | }); |
| 613 | armnn::ConstTensor anchors(anchorsInfo, anchorsData); |
| 614 | |
| 615 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 616 | armnn::IConnectableLayer* const detectionLayer = |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 617 | network->AddDetectionPostProcessLayer(descriptor, anchors, layerName.c_str()); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 618 | |
| 619 | for (unsigned int i = 0; i < 2; i++) |
| 620 | { |
| 621 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(static_cast<int>(i)); |
| 622 | inputLayer->GetOutputSlot(0).Connect(detectionLayer->GetInputSlot(i)); |
| 623 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfos[i]); |
| 624 | } |
| 625 | |
| 626 | for (unsigned int i = 0; i < 4; i++) |
| 627 | { |
| 628 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(static_cast<int>(i)); |
| 629 | detectionLayer->GetOutputSlot(i).Connect(outputLayer->GetInputSlot(0)); |
| 630 | detectionLayer->GetOutputSlot(i).SetTensorInfo(outputInfos[i]); |
| 631 | } |
| 632 | |
| 633 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 634 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 635 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 636 | const std::vector<armnn::ConstTensor>& constants {anchors}; |
| 637 | LayerVerifierBaseWithDescriptorAndConstants<armnn::DetectionPostProcessDescriptor> verifier( |
| 638 | layerName, inputInfos, outputInfos, descriptor, constants); |
| 639 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 640 | } |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 641 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 642 | TEST_CASE("SerializeDivision") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 643 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 644 | const std::string layerName("division"); |
| 645 | const armnn::TensorInfo info({ 1, 5, 2, 3 }, armnn::DataType::Float32); |
| 646 | |
| 647 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 648 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 649 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 650 | armnn::IConnectableLayer* const divisionLayer = network->AddDivisionLayer(layerName.c_str()); |
| 651 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 652 | |
| 653 | inputLayer0->GetOutputSlot(0).Connect(divisionLayer->GetInputSlot(0)); |
| 654 | inputLayer1->GetOutputSlot(0).Connect(divisionLayer->GetInputSlot(1)); |
| 655 | divisionLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 656 | |
| 657 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 658 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 659 | divisionLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 660 | |
| 661 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 662 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 663 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 664 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 665 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 666 | } |
| 667 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 668 | TEST_CASE("SerializeDeserializeEqual") |
Aron Virginas-Tar | 6d2e659 | 2019-10-22 11:44:47 +0100 | [diff] [blame] | 669 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 670 | const std::string layerName("EqualLayer"); |
| 671 | const armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({2, 1, 2, 4}, armnn::DataType::Float32); |
| 672 | const armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({2, 1, 2, 4}, armnn::DataType::Float32); |
| 673 | 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] | 674 | |
| 675 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 676 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(0); |
| 677 | armnn::IConnectableLayer* const inputLayer2 = network->AddInputLayer(1); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 678 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
| 679 | armnn::IConnectableLayer* const equalLayer = network->AddEqualLayer(layerName.c_str()); |
| 680 | ARMNN_NO_DEPRECATE_WARN_END |
| 681 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 682 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 683 | inputLayer1->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(0)); |
| 684 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputTensorInfo1); |
| 685 | inputLayer2->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(1)); |
| 686 | inputLayer2->GetOutputSlot(0).SetTensorInfo(inputTensorInfo2); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 687 | equalLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 688 | equalLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 689 | |
| 690 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 691 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 692 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 693 | LayerVerifierBase verifier(layerName, {inputTensorInfo1, inputTensorInfo2}, {outputTensorInfo}); |
| 694 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | 6d2e659 | 2019-10-22 11:44:47 +0100 | [diff] [blame] | 695 | } |
| 696 | |
Teresa Charlin | 50de4fa | 2021-05-31 18:47:33 +0100 | [diff] [blame] | 697 | void SerializeElementwiseUnaryTest(armnn::UnaryOperation unaryOperation) |
| 698 | { |
| 699 | auto layerName = GetUnaryOperationAsCString(unaryOperation); |
| 700 | |
| 701 | const armnn::TensorShape shape{2, 1, 2, 2}; |
| 702 | |
| 703 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Float32); |
| 704 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Float32); |
| 705 | |
| 706 | armnn::ElementwiseUnaryDescriptor descriptor(unaryOperation); |
| 707 | |
| 708 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 709 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 710 | armnn::IConnectableLayer* const elementwiseUnaryLayer = |
| 711 | network->AddElementwiseUnaryLayer(descriptor, layerName); |
| 712 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 713 | |
| 714 | inputLayer->GetOutputSlot(0).Connect(elementwiseUnaryLayer->GetInputSlot(0)); |
| 715 | elementwiseUnaryLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 716 | |
| 717 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 718 | elementwiseUnaryLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 719 | |
| 720 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 721 | |
| 722 | CHECK(deserializedNetwork); |
| 723 | |
| 724 | LayerVerifierBaseWithDescriptor<armnn::ElementwiseUnaryDescriptor> |
| 725 | verifier(layerName, { inputInfo }, { outputInfo }, descriptor); |
| 726 | |
| 727 | deserializedNetwork->ExecuteStrategy(verifier); |
| 728 | } |
| 729 | |
| 730 | TEST_CASE("SerializeElementwiseUnary") |
| 731 | { |
| 732 | using op = armnn::UnaryOperation; |
| 733 | std::initializer_list<op> allUnaryOperations = {op::Abs, op::Exp, op::Sqrt, op::Rsqrt, op::Neg, |
| 734 | op::LogicalNot, op::Log, op::Sin}; |
| 735 | |
| 736 | for (auto unaryOperation : allUnaryOperations) |
| 737 | { |
| 738 | SerializeElementwiseUnaryTest(unaryOperation); |
| 739 | } |
| 740 | } |
| 741 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 742 | TEST_CASE("SerializeFill") |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 743 | { |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 744 | const std::string layerName("fill"); |
Teresa Charlin | 4b10fef | 2020-07-29 09:36:41 +0100 | [diff] [blame] | 745 | const armnn::TensorInfo inputInfo({4}, armnn::DataType::Signed32); |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 746 | const armnn::TensorInfo outputInfo({1, 3, 3, 1}, armnn::DataType::Float32); |
| 747 | |
| 748 | armnn::FillDescriptor descriptor(1.0f); |
| 749 | |
| 750 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 751 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 752 | armnn::IConnectableLayer* const fillLayer = network->AddFillLayer(descriptor, layerName.c_str()); |
| 753 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 754 | |
| 755 | inputLayer->GetOutputSlot(0).Connect(fillLayer->GetInputSlot(0)); |
| 756 | fillLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 757 | |
| 758 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 759 | fillLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 760 | |
| 761 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 762 | CHECK(deserializedNetwork); |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 763 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 764 | LayerVerifierBaseWithDescriptor<armnn::FillDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, descriptor); |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 765 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 766 | deserializedNetwork->ExecuteStrategy(verifier); |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 767 | } |
| 768 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 769 | TEST_CASE("SerializeFloor") |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 770 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 771 | const std::string layerName("floor"); |
| 772 | const armnn::TensorInfo info({4,4}, armnn::DataType::Float32); |
| 773 | |
| 774 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 775 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 776 | armnn::IConnectableLayer* const floorLayer = network->AddFloorLayer(layerName.c_str()); |
| 777 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 778 | |
| 779 | inputLayer->GetOutputSlot(0).Connect(floorLayer->GetInputSlot(0)); |
| 780 | floorLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 781 | |
| 782 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 783 | floorLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 784 | |
| 785 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 786 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 787 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 788 | LayerVerifierBase verifier(layerName, {info}, {info}); |
| 789 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 790 | } |
| 791 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 792 | TEST_CASE("SerializeFullyConnected") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 793 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 794 | const std::string layerName("fullyConnected"); |
| 795 | const armnn::TensorInfo inputInfo ({ 2, 5, 1, 1 }, armnn::DataType::Float32); |
| 796 | const armnn::TensorInfo outputInfo({ 2, 3 }, armnn::DataType::Float32); |
| 797 | |
| 798 | const armnn::TensorInfo weightsInfo({ 5, 3 }, armnn::DataType::Float32); |
| 799 | const armnn::TensorInfo biasesInfo ({ 3 }, armnn::DataType::Float32); |
| 800 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 801 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 802 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 803 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 804 | |
| 805 | armnn::FullyConnectedDescriptor descriptor; |
| 806 | descriptor.m_BiasEnabled = true; |
| 807 | descriptor.m_TransposeWeightMatrix = false; |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 808 | descriptor.m_ConstantWeights = true; |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 809 | |
| 810 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 811 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 812 | armnn::IConnectableLayer* const fullyConnectedLayer = |
Matteo Martincigh | fc598e1 | 2019-05-14 10:36:13 +0100 | [diff] [blame] | 813 | network->AddFullyConnectedLayer(descriptor, |
| 814 | weights, |
| 815 | armnn::Optional<armnn::ConstTensor>(biases), |
| 816 | layerName.c_str()); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 817 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 818 | |
| 819 | inputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(0)); |
| 820 | fullyConnectedLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 821 | |
| 822 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 823 | fullyConnectedLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 824 | |
| 825 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 826 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 827 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 828 | const std::vector<armnn::ConstTensor> constants {weights, biases}; |
| 829 | LayerVerifierBaseWithDescriptorAndConstants<armnn::FullyConnectedDescriptor> verifier( |
| 830 | layerName, {inputInfo}, {outputInfo}, descriptor, constants); |
| 831 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 832 | } |
| 833 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 834 | TEST_CASE("SerializeFullyConnectedWeightsAsInputs") |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 835 | { |
| 836 | const std::string layerName("fullyConnected_weights_as_inputs"); |
| 837 | const armnn::TensorInfo inputInfo ({ 2, 5, 1, 1 }, armnn::DataType::Float32); |
| 838 | const armnn::TensorInfo outputInfo({ 2, 3 }, armnn::DataType::Float32); |
| 839 | |
| 840 | const armnn::TensorInfo weightsInfo({ 5, 3 }, armnn::DataType::Float32); |
| 841 | const armnn::TensorInfo biasesInfo ({ 3 }, armnn::DataType::Float32); |
| 842 | |
| 843 | armnn::Optional<armnn::ConstTensor> weights = armnn::EmptyOptional(); |
| 844 | armnn::Optional<armnn::ConstTensor> bias = armnn::EmptyOptional(); |
| 845 | |
| 846 | armnn::FullyConnectedDescriptor descriptor; |
| 847 | descriptor.m_BiasEnabled = true; |
| 848 | descriptor.m_TransposeWeightMatrix = false; |
| 849 | descriptor.m_ConstantWeights = false; |
| 850 | |
| 851 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 852 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 853 | armnn::IConnectableLayer* const weightsInputLayer = network->AddInputLayer(1); |
| 854 | armnn::IConnectableLayer* const biasInputLayer = network->AddInputLayer(2); |
| 855 | armnn::IConnectableLayer* const fullyConnectedLayer = |
| 856 | network->AddFullyConnectedLayer(descriptor, |
| 857 | weights, |
| 858 | bias, |
| 859 | layerName.c_str()); |
| 860 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 861 | |
| 862 | inputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(0)); |
| 863 | weightsInputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(1)); |
| 864 | biasInputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(2)); |
| 865 | fullyConnectedLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 866 | |
| 867 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 868 | weightsInputLayer->GetOutputSlot(0).SetTensorInfo(weightsInfo); |
| 869 | biasInputLayer->GetOutputSlot(0).SetTensorInfo(biasesInfo); |
| 870 | fullyConnectedLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 871 | |
| 872 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 873 | CHECK(deserializedNetwork); |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 874 | |
| 875 | const std::vector<armnn::ConstTensor> constants {}; |
| 876 | LayerVerifierBaseWithDescriptorAndConstants<armnn::FullyConnectedDescriptor> verifier( |
| 877 | layerName, {inputInfo, weightsInfo, biasesInfo}, {outputInfo}, descriptor, constants); |
| 878 | deserializedNetwork->ExecuteStrategy(verifier); |
| 879 | } |
| 880 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 881 | TEST_CASE("SerializeGather") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 882 | { |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 883 | using GatherDescriptor = armnn::GatherDescriptor; |
| 884 | class GatherLayerVerifier : public LayerVerifierBaseWithDescriptor<GatherDescriptor> |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 885 | { |
| 886 | public: |
| 887 | GatherLayerVerifier(const std::string& layerName, |
| 888 | const std::vector<armnn::TensorInfo>& inputInfos, |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 889 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 890 | const GatherDescriptor& descriptor) |
| 891 | : LayerVerifierBaseWithDescriptor<GatherDescriptor>(layerName, inputInfos, outputInfos, descriptor) {} |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 892 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 893 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 894 | const armnn::BaseDescriptor& descriptor, |
| 895 | const std::vector<armnn::ConstTensor>& constants, |
| 896 | const char* name, |
| 897 | const armnn::LayerBindingId id = 0) override |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 898 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 899 | armnn::IgnoreUnused(constants, id); |
| 900 | switch (layer->GetType()) |
| 901 | { |
| 902 | case armnn::LayerType::Input: break; |
| 903 | case armnn::LayerType::Output: break; |
| 904 | case armnn::LayerType::Constant: break; |
| 905 | default: |
| 906 | { |
| 907 | VerifyNameAndConnections(layer, name); |
| 908 | const GatherDescriptor& layerDescriptor = static_cast<const GatherDescriptor&>(descriptor); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 909 | CHECK(layerDescriptor.m_Axis == m_Descriptor.m_Axis); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 910 | } |
| 911 | } |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 912 | } |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 913 | }; |
| 914 | |
| 915 | const std::string layerName("gather"); |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 916 | armnn::TensorInfo paramsInfo({ 8 }, armnn::DataType::QAsymmU8); |
| 917 | armnn::TensorInfo outputInfo({ 3 }, armnn::DataType::QAsymmU8); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 918 | const armnn::TensorInfo indicesInfo({ 3 }, armnn::DataType::Signed32); |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 919 | GatherDescriptor descriptor; |
| 920 | descriptor.m_Axis = 1; |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 921 | |
| 922 | paramsInfo.SetQuantizationScale(1.0f); |
| 923 | paramsInfo.SetQuantizationOffset(0); |
| 924 | outputInfo.SetQuantizationScale(1.0f); |
| 925 | outputInfo.SetQuantizationOffset(0); |
| 926 | |
| 927 | const std::vector<int32_t>& indicesData = {7, 6, 5}; |
| 928 | |
| 929 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 930 | armnn::IConnectableLayer *const inputLayer = network->AddInputLayer(0); |
| 931 | armnn::IConnectableLayer *const constantLayer = |
| 932 | network->AddConstantLayer(armnn::ConstTensor(indicesInfo, indicesData)); |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 933 | armnn::IConnectableLayer *const gatherLayer = network->AddGatherLayer(descriptor, layerName.c_str()); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 934 | armnn::IConnectableLayer *const outputLayer = network->AddOutputLayer(0); |
| 935 | |
| 936 | inputLayer->GetOutputSlot(0).Connect(gatherLayer->GetInputSlot(0)); |
| 937 | constantLayer->GetOutputSlot(0).Connect(gatherLayer->GetInputSlot(1)); |
| 938 | gatherLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 939 | |
| 940 | inputLayer->GetOutputSlot(0).SetTensorInfo(paramsInfo); |
| 941 | constantLayer->GetOutputSlot(0).SetTensorInfo(indicesInfo); |
| 942 | gatherLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 943 | |
| 944 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 945 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 946 | |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 947 | GatherLayerVerifier verifier(layerName, {paramsInfo, indicesInfo}, {outputInfo}, descriptor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 948 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 949 | } |
| 950 | |
Aron Virginas-Tar | 6d2e659 | 2019-10-22 11:44:47 +0100 | [diff] [blame] | 951 | |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 952 | // NOTE: Until the deprecated AddGreaterLayer disappears this test checks that calling |
| 953 | // AddGreaterLayer places a ComparisonLayer into the serialized format and that |
| 954 | // when this deserialises we have a ComparisonLayer |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 955 | TEST_CASE("SerializeGreaterDeprecated") |
Aron Virginas-Tar | 781ced9 | 2019-10-03 11:15:39 +0100 | [diff] [blame] | 956 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 957 | const std::string layerName("greater"); |
| 958 | |
| 959 | const armnn::TensorShape shape{2, 1, 2, 4}; |
| 960 | |
| 961 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Float32); |
| 962 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Boolean); |
| 963 | |
| 964 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 965 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 966 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 967 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
| 968 | armnn::IConnectableLayer* const equalLayer = network->AddGreaterLayer(layerName.c_str()); |
| 969 | ARMNN_NO_DEPRECATE_WARN_END |
| 970 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 971 | |
| 972 | inputLayer0->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(0)); |
| 973 | inputLayer1->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(1)); |
| 974 | equalLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 975 | |
| 976 | inputLayer0->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 977 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 978 | equalLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 979 | |
| 980 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 981 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 982 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 983 | LayerVerifierBase verifier(layerName, { inputInfo, inputInfo }, { outputInfo }); |
| 984 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 985 | } |
| 986 | |
Aron Virginas-Tar | 6d2e659 | 2019-10-22 11:44:47 +0100 | [diff] [blame] | 987 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 988 | TEST_CASE("SerializeInstanceNormalization") |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 989 | { |
Aron Virginas-Tar | 781ced9 | 2019-10-03 11:15:39 +0100 | [diff] [blame] | 990 | const std::string layerName("instanceNormalization"); |
| 991 | const armnn::TensorInfo info({ 1, 2, 1, 5 }, armnn::DataType::Float32); |
| 992 | |
| 993 | armnn::InstanceNormalizationDescriptor descriptor; |
| 994 | descriptor.m_Gamma = 1.1f; |
| 995 | descriptor.m_Beta = 0.1f; |
| 996 | descriptor.m_Eps = 0.0001f; |
| 997 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 998 | |
| 999 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1000 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1001 | armnn::IConnectableLayer* const instanceNormLayer = |
| 1002 | network->AddInstanceNormalizationLayer(descriptor, layerName.c_str()); |
| 1003 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1004 | |
| 1005 | inputLayer->GetOutputSlot(0).Connect(instanceNormLayer->GetInputSlot(0)); |
| 1006 | instanceNormLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1007 | |
| 1008 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1009 | instanceNormLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1010 | |
| 1011 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1012 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | 781ced9 | 2019-10-03 11:15:39 +0100 | [diff] [blame] | 1013 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1014 | LayerVerifierBaseWithDescriptor<armnn::InstanceNormalizationDescriptor> verifier( |
| 1015 | layerName, {info}, {info}, descriptor); |
| 1016 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | 781ced9 | 2019-10-03 11:15:39 +0100 | [diff] [blame] | 1017 | } |
| 1018 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1019 | TEST_CASE("SerializeL2Normalization") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1020 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1021 | const std::string l2NormLayerName("l2Normalization"); |
| 1022 | const armnn::TensorInfo info({1, 2, 1, 5}, armnn::DataType::Float32); |
| 1023 | |
| 1024 | armnn::L2NormalizationDescriptor desc; |
| 1025 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1026 | desc.m_Eps = 0.0001f; |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1027 | |
| 1028 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1029 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1030 | armnn::IConnectableLayer* const l2NormLayer = network->AddL2NormalizationLayer(desc, l2NormLayerName.c_str()); |
| 1031 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1032 | |
| 1033 | inputLayer0->GetOutputSlot(0).Connect(l2NormLayer->GetInputSlot(0)); |
| 1034 | l2NormLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1035 | |
| 1036 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1037 | l2NormLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1038 | |
| 1039 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1040 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1041 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1042 | LayerVerifierBaseWithDescriptor<armnn::L2NormalizationDescriptor> verifier( |
| 1043 | l2NormLayerName, {info}, {info}, desc); |
| 1044 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1045 | } |
| 1046 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1047 | TEST_CASE("EnsureL2NormalizationBackwardCompatibility") |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1048 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1049 | // 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] | 1050 | // a L2Normalization layer and an output layer with dimensions as per the tensor infos below. |
| 1051 | // |
| 1052 | // This test verifies that we can still read back these old style |
| 1053 | // models without the normalization epsilon value. |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1054 | const std::vector<uint8_t> l2NormalizationModel = |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1055 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1056 | 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, |
| 1057 | 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 1058 | 0x3C, 0x01, 0x00, 0x00, 0x74, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1059 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0xE8, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, |
| 1060 | 0x04, 0x00, 0x00, 0x00, 0xD6, 0xFE, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, |
| 1061 | 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x9E, 0xFF, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, |
| 1062 | 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1063 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1064 | 0x4C, 0xFF, 0xFF, 0xFF, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x44, 0xFF, 0xFF, 0xFF, 0x00, 0x00, |
| 1065 | 0x00, 0x20, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 1066 | 0x20, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1067 | 0x0E, 0x00, 0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x14, 0x00, 0x0E, 0x00, 0x00, 0x00, |
| 1068 | 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x1F, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x20, 0x00, |
| 1069 | 0x00, 0x00, 0x0F, 0x00, 0x00, 0x00, 0x6C, 0x32, 0x4E, 0x6F, 0x72, 0x6D, 0x61, 0x6C, 0x69, 0x7A, 0x61, 0x74, |
| 1070 | 0x69, 0x6F, 0x6E, 0x00, 0x01, 0x00, 0x00, 0x00, 0x48, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, |
| 1071 | 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 1072 | 0x52, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 1073 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x05, 0x00, 0x00, 0x00, |
| 1074 | 0x08, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1075 | 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, |
| 1076 | 0x04, 0x00, 0x00, 0x00, 0xF6, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x0A, 0x00, |
| 1077 | 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x14, 0x00, 0x00, 0x00, |
| 1078 | 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x0E, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, |
| 1079 | 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1080 | 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0A, 0x00, 0x00, 0x00, |
| 1081 | 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x08, 0x00, |
| 1082 | 0x07, 0x00, 0x0C, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1083 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, |
| 1084 | 0x05, 0x00, 0x00, 0x00, 0x00 |
| 1085 | }; |
| 1086 | |
| 1087 | armnn::INetworkPtr deserializedNetwork = |
| 1088 | DeserializeNetwork(std::string(l2NormalizationModel.begin(), l2NormalizationModel.end())); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1089 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1090 | |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1091 | const std::string layerName("l2Normalization"); |
| 1092 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({1, 2, 1, 5}, armnn::DataType::Float32); |
| 1093 | |
| 1094 | armnn::L2NormalizationDescriptor desc; |
| 1095 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1096 | // 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] | 1097 | desc.m_Eps = 1e-12f; |
| 1098 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1099 | LayerVerifierBaseWithDescriptor<armnn::L2NormalizationDescriptor> verifier( |
| 1100 | layerName, {inputInfo}, {inputInfo}, desc); |
| 1101 | deserializedNetwork->ExecuteStrategy(verifier); |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1102 | } |
| 1103 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1104 | TEST_CASE("SerializeLogicalBinary") |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 1105 | { |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 1106 | const std::string layerName("logicalBinaryAnd"); |
| 1107 | |
| 1108 | const armnn::TensorShape shape{2, 1, 2, 2}; |
| 1109 | |
| 1110 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Boolean); |
| 1111 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Boolean); |
| 1112 | |
| 1113 | armnn::LogicalBinaryDescriptor descriptor(armnn::LogicalBinaryOperation::LogicalAnd); |
| 1114 | |
| 1115 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1116 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1117 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1118 | armnn::IConnectableLayer* const logicalBinaryLayer = network->AddLogicalBinaryLayer(descriptor, layerName.c_str()); |
| 1119 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1120 | |
| 1121 | inputLayer0->GetOutputSlot(0).Connect(logicalBinaryLayer->GetInputSlot(0)); |
| 1122 | inputLayer1->GetOutputSlot(0).Connect(logicalBinaryLayer->GetInputSlot(1)); |
| 1123 | logicalBinaryLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1124 | |
| 1125 | inputLayer0->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1126 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1127 | logicalBinaryLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1128 | |
| 1129 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1130 | CHECK(deserializedNetwork); |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 1131 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1132 | LayerVerifierBaseWithDescriptor<armnn::LogicalBinaryDescriptor> verifier( |
| 1133 | layerName, { inputInfo, inputInfo }, { outputInfo }, descriptor); |
| 1134 | deserializedNetwork->ExecuteStrategy(verifier); |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 1135 | } |
| 1136 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1137 | TEST_CASE("SerializeLogSoftmax") |
Sadik Armagan | 2625785 | 2019-10-14 13:00:47 +0100 | [diff] [blame] | 1138 | { |
Sadik Armagan | 2625785 | 2019-10-14 13:00:47 +0100 | [diff] [blame] | 1139 | const std::string layerName("log_softmax"); |
| 1140 | const armnn::TensorInfo info({1, 10}, armnn::DataType::Float32); |
| 1141 | |
| 1142 | armnn::LogSoftmaxDescriptor descriptor; |
| 1143 | descriptor.m_Beta = 1.0f; |
| 1144 | descriptor.m_Axis = -1; |
| 1145 | |
| 1146 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1147 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1148 | armnn::IConnectableLayer* const logSoftmaxLayer = network->AddLogSoftmaxLayer(descriptor, layerName.c_str()); |
| 1149 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1150 | |
| 1151 | inputLayer->GetOutputSlot(0).Connect(logSoftmaxLayer->GetInputSlot(0)); |
| 1152 | logSoftmaxLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1153 | |
| 1154 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1155 | logSoftmaxLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1156 | |
| 1157 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1158 | CHECK(deserializedNetwork); |
Sadik Armagan | 2625785 | 2019-10-14 13:00:47 +0100 | [diff] [blame] | 1159 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1160 | LayerVerifierBaseWithDescriptor<armnn::LogSoftmaxDescriptor> verifier(layerName, {info}, {info}, descriptor); |
| 1161 | deserializedNetwork->ExecuteStrategy(verifier); |
Sadik Armagan | 2625785 | 2019-10-14 13:00:47 +0100 | [diff] [blame] | 1162 | } |
| 1163 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1164 | TEST_CASE("SerializeMaximum") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1165 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1166 | const std::string layerName("maximum"); |
| 1167 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 1168 | |
| 1169 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1170 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1171 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1172 | armnn::IConnectableLayer* const maximumLayer = network->AddMaximumLayer(layerName.c_str()); |
| 1173 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1174 | |
| 1175 | inputLayer0->GetOutputSlot(0).Connect(maximumLayer->GetInputSlot(0)); |
| 1176 | inputLayer1->GetOutputSlot(0).Connect(maximumLayer->GetInputSlot(1)); |
| 1177 | maximumLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1178 | |
| 1179 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1180 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 1181 | maximumLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1182 | |
| 1183 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1184 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1185 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1186 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 1187 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1188 | } |
| 1189 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1190 | TEST_CASE("SerializeMean") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1191 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1192 | const std::string layerName("mean"); |
| 1193 | const armnn::TensorInfo inputInfo({1, 1, 3, 2}, armnn::DataType::Float32); |
| 1194 | const armnn::TensorInfo outputInfo({1, 1, 1, 2}, armnn::DataType::Float32); |
| 1195 | |
| 1196 | armnn::MeanDescriptor descriptor; |
| 1197 | descriptor.m_Axis = { 2 }; |
| 1198 | descriptor.m_KeepDims = true; |
| 1199 | |
| 1200 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1201 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1202 | armnn::IConnectableLayer* const meanLayer = network->AddMeanLayer(descriptor, layerName.c_str()); |
| 1203 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1204 | |
| 1205 | inputLayer->GetOutputSlot(0).Connect(meanLayer->GetInputSlot(0)); |
| 1206 | meanLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1207 | |
| 1208 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1209 | meanLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1210 | |
| 1211 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1212 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1213 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1214 | LayerVerifierBaseWithDescriptor<armnn::MeanDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, descriptor); |
| 1215 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1216 | } |
| 1217 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1218 | TEST_CASE("SerializeMerge") |
Nattapat Chaimanowong | 1f88630 | 2019-04-05 13:37:19 +0100 | [diff] [blame] | 1219 | { |
Nattapat Chaimanowong | 1f88630 | 2019-04-05 13:37:19 +0100 | [diff] [blame] | 1220 | const std::string layerName("merge"); |
| 1221 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 1222 | |
| 1223 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1224 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1225 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1226 | armnn::IConnectableLayer* const mergeLayer = network->AddMergeLayer(layerName.c_str()); |
| 1227 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1228 | |
| 1229 | inputLayer0->GetOutputSlot(0).Connect(mergeLayer->GetInputSlot(0)); |
| 1230 | inputLayer1->GetOutputSlot(0).Connect(mergeLayer->GetInputSlot(1)); |
| 1231 | mergeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1232 | |
| 1233 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1234 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 1235 | mergeLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1236 | |
| 1237 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1238 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 1f88630 | 2019-04-05 13:37:19 +0100 | [diff] [blame] | 1239 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1240 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 1241 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 1f88630 | 2019-04-05 13:37:19 +0100 | [diff] [blame] | 1242 | } |
| 1243 | |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1244 | class MergerLayerVerifier : public LayerVerifierBaseWithDescriptor<armnn::OriginsDescriptor> |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1245 | { |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1246 | public: |
| 1247 | MergerLayerVerifier(const std::string& layerName, |
| 1248 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 1249 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 1250 | const armnn::OriginsDescriptor& descriptor) |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1251 | : LayerVerifierBaseWithDescriptor<armnn::OriginsDescriptor>(layerName, inputInfos, outputInfos, descriptor) {} |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1252 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1253 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 1254 | const armnn::BaseDescriptor& descriptor, |
| 1255 | const std::vector<armnn::ConstTensor>& constants, |
| 1256 | const char* name, |
| 1257 | const armnn::LayerBindingId id = 0) override |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1258 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1259 | armnn::IgnoreUnused(descriptor, constants, id); |
| 1260 | switch (layer->GetType()) |
| 1261 | { |
| 1262 | case armnn::LayerType::Input: break; |
| 1263 | case armnn::LayerType::Output: break; |
| 1264 | case armnn::LayerType::Merge: |
| 1265 | { |
| 1266 | throw armnn::Exception("MergerLayer should have translated to ConcatLayer"); |
| 1267 | break; |
| 1268 | } |
| 1269 | case armnn::LayerType::Concat: |
| 1270 | { |
| 1271 | VerifyNameAndConnections(layer, name); |
| 1272 | const armnn::MergerDescriptor& layerDescriptor = |
| 1273 | static_cast<const armnn::MergerDescriptor&>(descriptor); |
| 1274 | VerifyDescriptor(layerDescriptor); |
| 1275 | break; |
| 1276 | } |
| 1277 | default: |
| 1278 | { |
| 1279 | throw armnn::Exception("Unexpected layer type in Merge test model"); |
| 1280 | } |
| 1281 | } |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1282 | } |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1283 | }; |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1284 | |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1285 | // NOTE: Until the deprecated AddMergerLayer disappears this test checks that calling |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1286 | // AddMergerLayer places a ConcatLayer into the serialized format and that |
| 1287 | // when this deserialises we have a ConcatLayer |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1288 | TEST_CASE("SerializeMerger") |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1289 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1290 | const std::string layerName("merger"); |
| 1291 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({2, 3, 2, 2}, armnn::DataType::Float32); |
| 1292 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({4, 3, 2, 2}, armnn::DataType::Float32); |
| 1293 | |
| 1294 | const std::vector<armnn::TensorShape> shapes({inputInfo.GetShape(), inputInfo.GetShape()}); |
| 1295 | |
| 1296 | armnn::OriginsDescriptor descriptor = |
Jim Flynn | 825af45 | 2019-05-20 12:49:28 +0100 | [diff] [blame] | 1297 | armnn::CreateDescriptorForConcatenation(shapes.begin(), shapes.end(), 0); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1298 | |
| 1299 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1300 | armnn::IConnectableLayer* const inputLayerOne = network->AddInputLayer(0); |
| 1301 | armnn::IConnectableLayer* const inputLayerTwo = network->AddInputLayer(1); |
Jim Flynn | 906f946 | 2019-05-10 13:55:21 +0100 | [diff] [blame] | 1302 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1303 | armnn::IConnectableLayer* const mergerLayer = network->AddMergerLayer(descriptor, layerName.c_str()); |
Jim Flynn | 906f946 | 2019-05-10 13:55:21 +0100 | [diff] [blame] | 1304 | ARMNN_NO_DEPRECATE_WARN_END |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1305 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1306 | |
| 1307 | inputLayerOne->GetOutputSlot(0).Connect(mergerLayer->GetInputSlot(0)); |
| 1308 | inputLayerTwo->GetOutputSlot(0).Connect(mergerLayer->GetInputSlot(1)); |
| 1309 | mergerLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1310 | |
| 1311 | inputLayerOne->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1312 | inputLayerTwo->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1313 | mergerLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1314 | |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1315 | std::string mergerLayerNetwork = SerializeNetwork(*network); |
| 1316 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(mergerLayerNetwork); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1317 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1318 | |
| 1319 | MergerLayerVerifier verifier(layerName, {inputInfo, inputInfo}, {outputInfo}, descriptor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1320 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1321 | } |
| 1322 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1323 | TEST_CASE("EnsureMergerLayerBackwardCompatibility") |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1324 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1325 | // 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] | 1326 | // a merger layer (now deprecated) and an output layer with dimensions as per the tensor infos below. |
| 1327 | // |
| 1328 | // This test verifies that we can still read back these old style |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1329 | // models replacing the MergerLayers with ConcatLayers with the same parameters. |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1330 | const std::vector<uint8_t> mergerModel = |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1331 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1332 | 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, |
| 1333 | 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 1334 | 0x38, 0x02, 0x00, 0x00, 0x8C, 0x01, 0x00, 0x00, 0x70, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1335 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 1336 | 0xF4, 0xFD, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, 0x04, 0x00, 0x00, 0x00, 0x92, 0xFE, 0xFF, 0xFF, 0x04, 0x00, |
| 1337 | 0x00, 0x00, 0x9A, 0xFE, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x7E, 0xFE, 0xFF, 0xFF, 0x03, 0x00, 0x00, 0x00, |
| 1338 | 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1339 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1340 | 0xF8, 0xFE, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x48, 0xFE, 0xFF, 0xFF, 0x00, 0x00, |
| 1341 | 0x00, 0x1F, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 1342 | 0x68, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, |
| 1343 | 0x0C, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 1344 | 0x02, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x22, 0xFF, 0xFF, 0xFF, 0x04, 0x00, |
| 1345 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1346 | 0x00, 0x00, 0x00, 0x00, 0x3E, 0xFF, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1347 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x36, 0xFF, 0xFF, 0xFF, |
| 1348 | 0x02, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x1E, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1C, 0x00, |
| 1349 | 0x00, 0x00, 0x06, 0x00, 0x00, 0x00, 0x6D, 0x65, 0x72, 0x67, 0x65, 0x72, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, |
| 1350 | 0x5C, 0x00, 0x00, 0x00, 0x40, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x34, 0xFF, |
| 1351 | 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x92, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, |
| 1352 | 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1353 | 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 1354 | 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x00, 0x00, |
| 1355 | 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0E, 0x00, |
| 1356 | 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1357 | 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0E, 0x00, |
| 1358 | 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1359 | 0x0E, 0x00, 0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x14, 0x00, 0x0E, 0x00, 0x00, 0x00, |
| 1360 | 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, |
| 1361 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, |
| 1362 | 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 1363 | 0x00, 0x00, 0x66, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1364 | 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1365 | 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, |
| 1366 | 0x04, 0x00, 0x00, 0x00, 0xF6, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x0A, 0x00, |
| 1367 | 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x14, 0x00, 0x00, 0x00, |
| 1368 | 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x0E, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, |
| 1369 | 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1370 | 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0A, 0x00, 0x00, 0x00, |
| 1371 | 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x08, 0x00, |
| 1372 | 0x07, 0x00, 0x0C, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1373 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, |
| 1374 | 0x02, 0x00, 0x00, 0x00 |
| 1375 | }; |
| 1376 | |
| 1377 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(std::string(mergerModel.begin(), mergerModel.end())); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1378 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1379 | |
| 1380 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({ 2, 3, 2, 2 }, armnn::DataType::Float32); |
| 1381 | 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] | 1382 | |
| 1383 | const std::vector<armnn::TensorShape> shapes({inputInfo.GetShape(), inputInfo.GetShape()}); |
| 1384 | |
| 1385 | armnn::OriginsDescriptor descriptor = |
Jim Flynn | 825af45 | 2019-05-20 12:49:28 +0100 | [diff] [blame] | 1386 | armnn::CreateDescriptorForConcatenation(shapes.begin(), shapes.end(), 0); |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1387 | |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1388 | MergerLayerVerifier verifier("merger", { inputInfo, inputInfo }, { outputInfo }, descriptor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1389 | deserializedNetwork->ExecuteStrategy(verifier); |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1390 | } |
| 1391 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1392 | TEST_CASE("SerializeConcat") |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1393 | { |
| 1394 | const std::string layerName("concat"); |
| 1395 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({2, 3, 2, 2}, armnn::DataType::Float32); |
| 1396 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({4, 3, 2, 2}, armnn::DataType::Float32); |
| 1397 | |
| 1398 | const std::vector<armnn::TensorShape> shapes({inputInfo.GetShape(), inputInfo.GetShape()}); |
| 1399 | |
| 1400 | armnn::OriginsDescriptor descriptor = |
| 1401 | armnn::CreateDescriptorForConcatenation(shapes.begin(), shapes.end(), 0); |
| 1402 | |
| 1403 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1404 | armnn::IConnectableLayer* const inputLayerOne = network->AddInputLayer(0); |
| 1405 | armnn::IConnectableLayer* const inputLayerTwo = network->AddInputLayer(1); |
| 1406 | armnn::IConnectableLayer* const concatLayer = network->AddConcatLayer(descriptor, layerName.c_str()); |
| 1407 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1408 | |
| 1409 | inputLayerOne->GetOutputSlot(0).Connect(concatLayer->GetInputSlot(0)); |
| 1410 | inputLayerTwo->GetOutputSlot(0).Connect(concatLayer->GetInputSlot(1)); |
| 1411 | concatLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1412 | |
| 1413 | inputLayerOne->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1414 | inputLayerTwo->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1415 | concatLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1416 | |
| 1417 | std::string concatLayerNetwork = SerializeNetwork(*network); |
| 1418 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(concatLayerNetwork); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1419 | CHECK(deserializedNetwork); |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1420 | |
| 1421 | // NOTE: using the MergerLayerVerifier to ensure that it is a concat layer and not a |
| 1422 | // merger layer that gets placed into the graph. |
| 1423 | MergerLayerVerifier verifier(layerName, {inputInfo, inputInfo}, {outputInfo}, descriptor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1424 | deserializedNetwork->ExecuteStrategy(verifier); |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1425 | } |
| 1426 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1427 | TEST_CASE("SerializeMinimum") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1428 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1429 | const std::string layerName("minimum"); |
| 1430 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 1431 | |
| 1432 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1433 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1434 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1435 | armnn::IConnectableLayer* const minimumLayer = network->AddMinimumLayer(layerName.c_str()); |
| 1436 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1437 | |
| 1438 | inputLayer0->GetOutputSlot(0).Connect(minimumLayer->GetInputSlot(0)); |
| 1439 | inputLayer1->GetOutputSlot(0).Connect(minimumLayer->GetInputSlot(1)); |
| 1440 | minimumLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1441 | |
| 1442 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1443 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 1444 | minimumLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1445 | |
| 1446 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1447 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1448 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1449 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 1450 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1451 | } |
| 1452 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1453 | TEST_CASE("SerializeMultiplication") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1454 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1455 | const std::string layerName("multiplication"); |
| 1456 | const armnn::TensorInfo info({ 1, 5, 2, 3 }, armnn::DataType::Float32); |
| 1457 | |
| 1458 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1459 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1460 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1461 | armnn::IConnectableLayer* const multiplicationLayer = network->AddMultiplicationLayer(layerName.c_str()); |
| 1462 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1463 | |
| 1464 | inputLayer0->GetOutputSlot(0).Connect(multiplicationLayer->GetInputSlot(0)); |
| 1465 | inputLayer1->GetOutputSlot(0).Connect(multiplicationLayer->GetInputSlot(1)); |
| 1466 | multiplicationLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1467 | |
| 1468 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1469 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 1470 | multiplicationLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1471 | |
| 1472 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1473 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1474 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1475 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 1476 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1477 | } |
| 1478 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1479 | TEST_CASE("SerializePrelu") |
Ellen Norris-Thompson | 5198247 | 2019-06-19 11:46:21 +0100 | [diff] [blame] | 1480 | { |
Ellen Norris-Thompson | 5198247 | 2019-06-19 11:46:21 +0100 | [diff] [blame] | 1481 | const std::string layerName("prelu"); |
| 1482 | |
| 1483 | armnn::TensorInfo inputTensorInfo ({ 4, 1, 2 }, armnn::DataType::Float32); |
| 1484 | armnn::TensorInfo alphaTensorInfo ({ 5, 4, 3, 1 }, armnn::DataType::Float32); |
| 1485 | armnn::TensorInfo outputTensorInfo({ 5, 4, 3, 2 }, armnn::DataType::Float32); |
| 1486 | |
| 1487 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1488 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1489 | armnn::IConnectableLayer* const alphaLayer = network->AddInputLayer(1); |
| 1490 | armnn::IConnectableLayer* const preluLayer = network->AddPreluLayer(layerName.c_str()); |
| 1491 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1492 | |
| 1493 | inputLayer->GetOutputSlot(0).Connect(preluLayer->GetInputSlot(0)); |
| 1494 | alphaLayer->GetOutputSlot(0).Connect(preluLayer->GetInputSlot(1)); |
| 1495 | preluLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1496 | |
| 1497 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 1498 | alphaLayer->GetOutputSlot(0).SetTensorInfo(alphaTensorInfo); |
| 1499 | preluLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1500 | |
| 1501 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1502 | CHECK(deserializedNetwork); |
Ellen Norris-Thompson | 5198247 | 2019-06-19 11:46:21 +0100 | [diff] [blame] | 1503 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1504 | LayerVerifierBase verifier(layerName, {inputTensorInfo, alphaTensorInfo}, {outputTensorInfo}); |
| 1505 | deserializedNetwork->ExecuteStrategy(verifier); |
Ellen Norris-Thompson | 5198247 | 2019-06-19 11:46:21 +0100 | [diff] [blame] | 1506 | } |
| 1507 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1508 | TEST_CASE("SerializeNormalization") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1509 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1510 | const std::string layerName("normalization"); |
| 1511 | const armnn::TensorInfo info({2, 1, 2, 2}, armnn::DataType::Float32); |
| 1512 | |
| 1513 | armnn::NormalizationDescriptor desc; |
| 1514 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 1515 | desc.m_NormSize = 3; |
| 1516 | desc.m_Alpha = 1; |
| 1517 | desc.m_Beta = 1; |
| 1518 | desc.m_K = 1; |
| 1519 | |
| 1520 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1521 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1522 | armnn::IConnectableLayer* const normalizationLayer = network->AddNormalizationLayer(desc, layerName.c_str()); |
| 1523 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1524 | |
| 1525 | inputLayer->GetOutputSlot(0).Connect(normalizationLayer->GetInputSlot(0)); |
| 1526 | normalizationLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1527 | |
| 1528 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1529 | normalizationLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1530 | |
| 1531 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1532 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1533 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1534 | LayerVerifierBaseWithDescriptor<armnn::NormalizationDescriptor> verifier(layerName, {info}, {info}, desc); |
| 1535 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1536 | } |
| 1537 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1538 | TEST_CASE("SerializePad") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1539 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1540 | const std::string layerName("pad"); |
| 1541 | const armnn::TensorInfo inputTensorInfo = armnn::TensorInfo({1, 2, 3, 4}, armnn::DataType::Float32); |
| 1542 | const armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 5, 7}, armnn::DataType::Float32); |
| 1543 | |
| 1544 | armnn::PadDescriptor desc({{0, 0}, {1, 0}, {1, 1}, {1, 2}}); |
| 1545 | |
| 1546 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1547 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1548 | armnn::IConnectableLayer* const padLayer = network->AddPadLayer(desc, layerName.c_str()); |
| 1549 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1550 | |
| 1551 | inputLayer->GetOutputSlot(0).Connect(padLayer->GetInputSlot(0)); |
| 1552 | padLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1553 | |
| 1554 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 1555 | padLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1556 | |
| 1557 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1558 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1559 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1560 | LayerVerifierBaseWithDescriptor<armnn::PadDescriptor> verifier(layerName, |
| 1561 | {inputTensorInfo}, |
| 1562 | {outputTensorInfo}, |
| 1563 | desc); |
| 1564 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1565 | } |
| 1566 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1567 | TEST_CASE("EnsurePadBackwardCompatibility") |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1568 | { |
| 1569 | // The PadDescriptor is being extended with a float PadValue (so a value other than 0 |
| 1570 | // can be used to pad the tensor. |
| 1571 | // |
| 1572 | // This test contains a binary representation of a simple input->pad->output network |
| 1573 | // prior to this change to test that the descriptor has been updated in a backward |
| 1574 | // compatible way with respect to Deserialization of older binary dumps |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1575 | const std::vector<uint8_t> padModel = |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1576 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1577 | 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, |
| 1578 | 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 1579 | 0x54, 0x01, 0x00, 0x00, 0x6C, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1580 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0xD0, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, |
| 1581 | 0x04, 0x00, 0x00, 0x00, 0x96, 0xFF, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x9E, 0xFF, 0xFF, 0xFF, 0x04, 0x00, |
| 1582 | 0x00, 0x00, 0x72, 0xFF, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 1583 | 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, |
| 1584 | 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x2C, 0xFF, 0xFF, 0xFF, 0x01, 0x00, 0x00, 0x00, |
| 1585 | 0x00, 0x00, 0x00, 0x00, 0x24, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x16, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, |
| 1586 | 0x0E, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x4C, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, |
| 1587 | 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x08, 0x00, |
| 1588 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1589 | 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1590 | 0x0E, 0x00, 0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x14, 0x00, 0x0E, 0x00, 0x00, 0x00, |
| 1591 | 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, |
| 1592 | 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x70, 0x61, 0x64, 0x00, 0x01, 0x00, 0x00, 0x00, 0x48, 0x00, 0x00, 0x00, |
| 1593 | 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, |
| 1594 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x52, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, |
| 1595 | 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x05, 0x00, |
| 1596 | 0x00, 0x00, 0x07, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 1597 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, |
| 1598 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x04, 0x00, 0x00, 0x00, 0xF6, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, |
| 1599 | 0x00, 0x00, 0x06, 0x00, 0x0A, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1600 | 0x0E, 0x00, 0x14, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x0E, 0x00, 0x00, 0x00, |
| 1601 | 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1602 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, |
| 1603 | 0x08, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1604 | 0x0A, 0x00, 0x10, 0x00, 0x08, 0x00, 0x07, 0x00, 0x0C, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, |
| 1605 | 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1606 | 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x00 |
| 1607 | }; |
| 1608 | |
| 1609 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(std::string(padModel.begin(), padModel.end())); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1610 | CHECK(deserializedNetwork); |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1611 | |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1612 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({ 1, 2, 3, 4 }, armnn::DataType::Float32); |
| 1613 | 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] | 1614 | |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1615 | armnn::PadDescriptor descriptor({{ 0, 0 }, { 1, 0 }, { 1, 1 }, { 1, 2 }}); |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1616 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1617 | LayerVerifierBaseWithDescriptor<armnn::PadDescriptor> verifier("pad", { inputInfo }, { outputInfo }, descriptor); |
| 1618 | deserializedNetwork->ExecuteStrategy(verifier); |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1619 | } |
| 1620 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1621 | TEST_CASE("SerializePermute") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1622 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1623 | const std::string layerName("permute"); |
| 1624 | const armnn::TensorInfo inputTensorInfo({4, 3, 2, 1}, armnn::DataType::Float32); |
| 1625 | const armnn::TensorInfo outputTensorInfo({1, 2, 3, 4}, armnn::DataType::Float32); |
| 1626 | |
| 1627 | armnn::PermuteDescriptor descriptor(armnn::PermutationVector({3, 2, 1, 0})); |
| 1628 | |
| 1629 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1630 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1631 | armnn::IConnectableLayer* const permuteLayer = network->AddPermuteLayer(descriptor, layerName.c_str()); |
| 1632 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1633 | |
| 1634 | inputLayer->GetOutputSlot(0).Connect(permuteLayer->GetInputSlot(0)); |
| 1635 | permuteLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1636 | |
| 1637 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 1638 | permuteLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1639 | |
| 1640 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1641 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1642 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1643 | LayerVerifierBaseWithDescriptor<armnn::PermuteDescriptor> verifier( |
| 1644 | layerName, {inputTensorInfo}, {outputTensorInfo}, descriptor); |
| 1645 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1646 | } |
| 1647 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1648 | TEST_CASE("SerializePooling2d") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1649 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1650 | const std::string layerName("pooling2d"); |
| 1651 | const armnn::TensorInfo inputInfo({1, 2, 2, 1}, armnn::DataType::Float32); |
| 1652 | const armnn::TensorInfo outputInfo({1, 1, 1, 1}, armnn::DataType::Float32); |
| 1653 | |
| 1654 | armnn::Pooling2dDescriptor desc; |
| 1655 | desc.m_DataLayout = armnn::DataLayout::NHWC; |
| 1656 | desc.m_PadTop = 0; |
| 1657 | desc.m_PadBottom = 0; |
| 1658 | desc.m_PadLeft = 0; |
| 1659 | desc.m_PadRight = 0; |
| 1660 | desc.m_PoolType = armnn::PoolingAlgorithm::Average; |
| 1661 | desc.m_OutputShapeRounding = armnn::OutputShapeRounding::Floor; |
| 1662 | desc.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 1663 | desc.m_PoolHeight = 2; |
| 1664 | desc.m_PoolWidth = 2; |
| 1665 | desc.m_StrideX = 2; |
| 1666 | desc.m_StrideY = 2; |
| 1667 | |
| 1668 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1669 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1670 | armnn::IConnectableLayer* const pooling2dLayer = network->AddPooling2dLayer(desc, layerName.c_str()); |
| 1671 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1672 | |
| 1673 | inputLayer->GetOutputSlot(0).Connect(pooling2dLayer->GetInputSlot(0)); |
| 1674 | pooling2dLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1675 | |
| 1676 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1677 | pooling2dLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1678 | |
| 1679 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1680 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1681 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1682 | LayerVerifierBaseWithDescriptor<armnn::Pooling2dDescriptor> verifier( |
| 1683 | layerName, {inputInfo}, {outputInfo}, desc); |
| 1684 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1685 | } |
| 1686 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1687 | TEST_CASE("SerializeQuantize") |
Derek Lamberti | 87acb27 | 2019-03-27 16:51:31 +0000 | [diff] [blame] | 1688 | { |
Derek Lamberti | 87acb27 | 2019-03-27 16:51:31 +0000 | [diff] [blame] | 1689 | const std::string layerName("quantize"); |
| 1690 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 1691 | |
| 1692 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1693 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1694 | armnn::IConnectableLayer* const quantizeLayer = network->AddQuantizeLayer(layerName.c_str()); |
| 1695 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1696 | |
| 1697 | inputLayer->GetOutputSlot(0).Connect(quantizeLayer->GetInputSlot(0)); |
| 1698 | quantizeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1699 | |
| 1700 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1701 | quantizeLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1702 | |
| 1703 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1704 | CHECK(deserializedNetwork); |
Derek Lamberti | 87acb27 | 2019-03-27 16:51:31 +0000 | [diff] [blame] | 1705 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1706 | LayerVerifierBase verifier(layerName, {info}, {info}); |
| 1707 | deserializedNetwork->ExecuteStrategy(verifier); |
Derek Lamberti | 87acb27 | 2019-03-27 16:51:31 +0000 | [diff] [blame] | 1708 | } |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1709 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1710 | TEST_CASE("SerializeRank") |
Finn Williams | 2605b23 | 2020-06-10 15:53:46 +0100 | [diff] [blame] | 1711 | { |
Finn Williams | 2605b23 | 2020-06-10 15:53:46 +0100 | [diff] [blame] | 1712 | const std::string layerName("rank"); |
| 1713 | const armnn::TensorInfo inputInfo({1, 9}, armnn::DataType::Float32); |
| 1714 | const armnn::TensorInfo outputInfo({1}, armnn::DataType::Signed32); |
| 1715 | |
| 1716 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1717 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1718 | armnn::IConnectableLayer* const rankLayer = network->AddRankLayer(layerName.c_str()); |
| 1719 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1720 | |
| 1721 | inputLayer->GetOutputSlot(0).Connect(rankLayer->GetInputSlot(0)); |
| 1722 | rankLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1723 | |
| 1724 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1725 | rankLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1726 | |
| 1727 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1728 | CHECK(deserializedNetwork); |
Finn Williams | 2605b23 | 2020-06-10 15:53:46 +0100 | [diff] [blame] | 1729 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1730 | LayerVerifierBase verifier(layerName, {inputInfo}, {outputInfo}); |
| 1731 | deserializedNetwork->ExecuteStrategy(verifier); |
Finn Williams | 2605b23 | 2020-06-10 15:53:46 +0100 | [diff] [blame] | 1732 | } |
| 1733 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1734 | TEST_CASE("SerializeReduceSum") |
Sadik Armagan | 0c3ea5b | 2021-02-03 09:29:30 +0000 | [diff] [blame] | 1735 | { |
Sadik Armagan | 0c3ea5b | 2021-02-03 09:29:30 +0000 | [diff] [blame] | 1736 | const std::string layerName("Reduce_Sum"); |
| 1737 | const armnn::TensorInfo inputInfo({1, 1, 3, 2}, armnn::DataType::Float32); |
| 1738 | const armnn::TensorInfo outputInfo({1, 1, 1, 2}, armnn::DataType::Float32); |
| 1739 | |
| 1740 | armnn::ReduceDescriptor descriptor; |
| 1741 | descriptor.m_vAxis = { 2 }; |
| 1742 | descriptor.m_ReduceOperation = armnn::ReduceOperation::Sum; |
| 1743 | |
| 1744 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1745 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1746 | armnn::IConnectableLayer* const reduceSumLayer = network->AddReduceLayer(descriptor, layerName.c_str()); |
| 1747 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1748 | |
| 1749 | inputLayer->GetOutputSlot(0).Connect(reduceSumLayer->GetInputSlot(0)); |
| 1750 | reduceSumLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1751 | |
| 1752 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1753 | reduceSumLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1754 | |
| 1755 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1756 | CHECK(deserializedNetwork); |
Sadik Armagan | 0c3ea5b | 2021-02-03 09:29:30 +0000 | [diff] [blame] | 1757 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1758 | LayerVerifierBaseWithDescriptor<armnn::ReduceDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, descriptor); |
| 1759 | deserializedNetwork->ExecuteStrategy(verifier); |
Sadik Armagan | 0c3ea5b | 2021-02-03 09:29:30 +0000 | [diff] [blame] | 1760 | } |
| 1761 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1762 | TEST_CASE("SerializeReshape") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1763 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1764 | const std::string layerName("reshape"); |
| 1765 | const armnn::TensorInfo inputInfo({1, 9}, armnn::DataType::Float32); |
| 1766 | const armnn::TensorInfo outputInfo({3, 3}, armnn::DataType::Float32); |
| 1767 | |
| 1768 | armnn::ReshapeDescriptor descriptor({3, 3}); |
| 1769 | |
| 1770 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1771 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1772 | armnn::IConnectableLayer* const reshapeLayer = network->AddReshapeLayer(descriptor, layerName.c_str()); |
| 1773 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1774 | |
| 1775 | inputLayer->GetOutputSlot(0).Connect(reshapeLayer->GetInputSlot(0)); |
| 1776 | reshapeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1777 | |
| 1778 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1779 | reshapeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1780 | |
| 1781 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1782 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1783 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1784 | LayerVerifierBaseWithDescriptor<armnn::ReshapeDescriptor> verifier( |
| 1785 | layerName, {inputInfo}, {outputInfo}, descriptor); |
| 1786 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1787 | } |
| 1788 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1789 | TEST_CASE("SerializeResize") |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 1790 | { |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 1791 | const std::string layerName("resize"); |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 1792 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({1, 3, 5, 5}, armnn::DataType::Float32); |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 1793 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({1, 3, 2, 4}, armnn::DataType::Float32); |
| 1794 | |
| 1795 | armnn::ResizeDescriptor desc; |
Aron Virginas-Tar | 169d2f1 | 2019-07-01 19:01:44 +0100 | [diff] [blame] | 1796 | desc.m_TargetWidth = 4; |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 1797 | desc.m_TargetHeight = 2; |
Aron Virginas-Tar | 169d2f1 | 2019-07-01 19:01:44 +0100 | [diff] [blame] | 1798 | desc.m_Method = armnn::ResizeMethod::NearestNeighbor; |
David Monahan | 4a0c9b9 | 2020-05-30 09:48:39 +0100 | [diff] [blame] | 1799 | desc.m_AlignCorners = true; |
| 1800 | desc.m_HalfPixelCenters = true; |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 1801 | |
| 1802 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1803 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1804 | armnn::IConnectableLayer* const resizeLayer = network->AddResizeLayer(desc, layerName.c_str()); |
| 1805 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1806 | |
| 1807 | inputLayer->GetOutputSlot(0).Connect(resizeLayer->GetInputSlot(0)); |
| 1808 | resizeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1809 | |
| 1810 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1811 | resizeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1812 | |
| 1813 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1814 | CHECK(deserializedNetwork); |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 1815 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1816 | LayerVerifierBaseWithDescriptor<armnn::ResizeDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, desc); |
| 1817 | deserializedNetwork->ExecuteStrategy(verifier); |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 1818 | } |
| 1819 | |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 1820 | class ResizeBilinearLayerVerifier : public LayerVerifierBaseWithDescriptor<armnn::ResizeBilinearDescriptor> |
| 1821 | { |
| 1822 | public: |
| 1823 | ResizeBilinearLayerVerifier(const std::string& layerName, |
| 1824 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 1825 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 1826 | const armnn::ResizeBilinearDescriptor& descriptor) |
| 1827 | : LayerVerifierBaseWithDescriptor<armnn::ResizeBilinearDescriptor>( |
| 1828 | layerName, inputInfos, outputInfos, descriptor) {} |
| 1829 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1830 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 1831 | const armnn::BaseDescriptor& descriptor, |
| 1832 | const std::vector<armnn::ConstTensor>& constants, |
| 1833 | const char* name, |
| 1834 | const armnn::LayerBindingId id = 0) override |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 1835 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1836 | armnn::IgnoreUnused(descriptor, constants, id); |
| 1837 | switch (layer->GetType()) |
| 1838 | { |
| 1839 | case armnn::LayerType::Input: break; |
| 1840 | case armnn::LayerType::Output: break; |
| 1841 | case armnn::LayerType::Resize: |
| 1842 | { |
| 1843 | VerifyNameAndConnections(layer, name); |
| 1844 | const armnn::ResizeDescriptor& layerDescriptor = |
| 1845 | static_cast<const armnn::ResizeDescriptor&>(descriptor); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1846 | CHECK(layerDescriptor.m_Method == armnn::ResizeMethod::Bilinear); |
| 1847 | CHECK(layerDescriptor.m_TargetWidth == m_Descriptor.m_TargetWidth); |
| 1848 | CHECK(layerDescriptor.m_TargetHeight == m_Descriptor.m_TargetHeight); |
| 1849 | CHECK(layerDescriptor.m_DataLayout == m_Descriptor.m_DataLayout); |
| 1850 | CHECK(layerDescriptor.m_AlignCorners == m_Descriptor.m_AlignCorners); |
| 1851 | CHECK(layerDescriptor.m_HalfPixelCenters == m_Descriptor.m_HalfPixelCenters); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1852 | break; |
| 1853 | } |
| 1854 | default: |
| 1855 | { |
| 1856 | throw armnn::Exception("Unexpected layer type in test model. ResizeBiliniar " |
| 1857 | "should have translated to Resize"); |
| 1858 | } |
| 1859 | } |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 1860 | } |
| 1861 | }; |
| 1862 | |
| 1863 | // NOTE: Until the deprecated AddResizeBilinearLayer disappears this test checks that |
| 1864 | // calling AddResizeBilinearLayer places a ResizeLayer into the serialized format |
| 1865 | // and that when this deserialises we have a ResizeLayer |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1866 | TEST_CASE("SerializeResizeBilinear") |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 1867 | { |
| 1868 | const std::string layerName("resizeBilinear"); |
| 1869 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({1, 3, 5, 5}, armnn::DataType::Float32); |
| 1870 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({1, 3, 2, 4}, armnn::DataType::Float32); |
| 1871 | |
| 1872 | armnn::ResizeBilinearDescriptor desc; |
| 1873 | desc.m_TargetWidth = 4u; |
| 1874 | desc.m_TargetHeight = 2u; |
David Monahan | 4a0c9b9 | 2020-05-30 09:48:39 +0100 | [diff] [blame] | 1875 | desc.m_AlignCorners = true; |
| 1876 | desc.m_HalfPixelCenters = true; |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 1877 | |
| 1878 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1879 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1880 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
| 1881 | armnn::IConnectableLayer* const resizeLayer = network->AddResizeBilinearLayer(desc, layerName.c_str()); |
| 1882 | ARMNN_NO_DEPRECATE_WARN_END |
| 1883 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1884 | |
| 1885 | inputLayer->GetOutputSlot(0).Connect(resizeLayer->GetInputSlot(0)); |
| 1886 | resizeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1887 | |
| 1888 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1889 | resizeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1890 | |
| 1891 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1892 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 1893 | |
| 1894 | ResizeBilinearLayerVerifier verifier(layerName, {inputInfo}, {outputInfo}, desc); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1895 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 1896 | } |
| 1897 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1898 | TEST_CASE("EnsureResizeBilinearBackwardCompatibility") |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 1899 | { |
| 1900 | // The hex data below is a flat buffer containing a simple network with an input, |
| 1901 | // a ResizeBilinearLayer (now deprecated) and an output |
| 1902 | // |
| 1903 | // This test verifies that we can still deserialize this old-style model by replacing |
| 1904 | // the ResizeBilinearLayer with an equivalent ResizeLayer |
| 1905 | const std::vector<uint8_t> resizeBilinearModel = |
| 1906 | { |
| 1907 | 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, |
| 1908 | 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 1909 | 0x50, 0x01, 0x00, 0x00, 0x74, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1910 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0xD4, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, |
| 1911 | 0x04, 0x00, 0x00, 0x00, 0xC2, 0xFE, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, |
| 1912 | 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x8A, 0xFF, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, |
| 1913 | 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1914 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1915 | 0x38, 0xFF, 0xFF, 0xFF, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x30, 0xFF, 0xFF, 0xFF, 0x00, 0x00, |
| 1916 | 0x00, 0x1A, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0E, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 1917 | 0x34, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x12, 0x00, 0x08, 0x00, 0x0C, 0x00, |
| 1918 | 0x07, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, |
| 1919 | 0x00, 0x00, 0x0E, 0x00, 0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x14, 0x00, 0x0E, 0x00, |
| 1920 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x19, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, |
| 1921 | 0x20, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x00, 0x00, 0x72, 0x65, 0x73, 0x69, 0x7A, 0x65, 0x42, 0x69, 0x6C, 0x69, |
| 1922 | 0x6E, 0x65, 0x61, 0x72, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x48, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, |
| 1923 | 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 1924 | 0x00, 0x00, 0x52, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1925 | 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 1926 | 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1927 | 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1928 | 0x00, 0x09, 0x04, 0x00, 0x00, 0x00, 0xF6, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, |
| 1929 | 0x0A, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x14, 0x00, |
| 1930 | 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x0E, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, |
| 1931 | 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1932 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0A, 0x00, |
| 1933 | 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, |
| 1934 | 0x08, 0x00, 0x07, 0x00, 0x0C, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, |
| 1935 | 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x05, 0x00, |
| 1936 | 0x00, 0x00, 0x05, 0x00, 0x00, 0x00 |
| 1937 | }; |
| 1938 | |
| 1939 | armnn::INetworkPtr deserializedNetwork = |
| 1940 | DeserializeNetwork(std::string(resizeBilinearModel.begin(), resizeBilinearModel.end())); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1941 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 1942 | |
| 1943 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({1, 3, 5, 5}, armnn::DataType::Float32); |
| 1944 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({1, 3, 2, 4}, armnn::DataType::Float32); |
| 1945 | |
| 1946 | armnn::ResizeBilinearDescriptor descriptor; |
| 1947 | descriptor.m_TargetWidth = 4u; |
| 1948 | descriptor.m_TargetHeight = 2u; |
| 1949 | |
| 1950 | ResizeBilinearLayerVerifier verifier("resizeBilinear", { inputInfo }, { outputInfo }, descriptor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1951 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 1952 | } |
| 1953 | |
Keith Davis | 3ae3f97 | 2021-05-21 16:33:48 +0100 | [diff] [blame] | 1954 | TEST_CASE("SerializeShape") |
| 1955 | { |
| 1956 | const std::string layerName("shape"); |
| 1957 | const armnn::TensorInfo inputInfo({1, 3, 3, 1}, armnn::DataType::Signed32); |
| 1958 | const armnn::TensorInfo outputInfo({ 4 }, armnn::DataType::Signed32); |
| 1959 | |
| 1960 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1961 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1962 | armnn::IConnectableLayer* const shapeLayer = network->AddShapeLayer(layerName.c_str()); |
| 1963 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1964 | |
| 1965 | inputLayer->GetOutputSlot(0).Connect(shapeLayer->GetInputSlot(0)); |
| 1966 | shapeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1967 | |
| 1968 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1969 | shapeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1970 | |
| 1971 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1972 | CHECK(deserializedNetwork); |
| 1973 | |
| 1974 | LayerVerifierBase verifier(layerName, {inputInfo}, {outputInfo}); |
| 1975 | |
| 1976 | deserializedNetwork->ExecuteStrategy(verifier); |
| 1977 | } |
| 1978 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1979 | TEST_CASE("SerializeSlice") |
Aron Virginas-Tar | 2fda80b | 2019-09-18 13:36:52 +0100 | [diff] [blame] | 1980 | { |
Aron Virginas-Tar | 2fda80b | 2019-09-18 13:36:52 +0100 | [diff] [blame] | 1981 | const std::string layerName{"slice"}; |
| 1982 | |
| 1983 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({3, 2, 3, 1}, armnn::DataType::Float32); |
| 1984 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({2, 2, 2, 1}, armnn::DataType::Float32); |
| 1985 | |
| 1986 | armnn::SliceDescriptor descriptor({ 0, 0, 1, 0}, {2, 2, 2, 1}); |
| 1987 | |
| 1988 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1989 | |
| 1990 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1991 | armnn::IConnectableLayer* const sliceLayer = network->AddSliceLayer(descriptor, layerName.c_str()); |
| 1992 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1993 | |
| 1994 | inputLayer->GetOutputSlot(0).Connect(sliceLayer->GetInputSlot(0)); |
| 1995 | sliceLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1996 | |
| 1997 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1998 | sliceLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1999 | |
| 2000 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2001 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | 2fda80b | 2019-09-18 13:36:52 +0100 | [diff] [blame] | 2002 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2003 | LayerVerifierBaseWithDescriptor<armnn::SliceDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, descriptor); |
| 2004 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | 2fda80b | 2019-09-18 13:36:52 +0100 | [diff] [blame] | 2005 | } |
| 2006 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2007 | TEST_CASE("SerializeSoftmax") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2008 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2009 | const std::string layerName("softmax"); |
| 2010 | const armnn::TensorInfo info({1, 10}, armnn::DataType::Float32); |
| 2011 | |
| 2012 | armnn::SoftmaxDescriptor descriptor; |
| 2013 | descriptor.m_Beta = 1.0f; |
| 2014 | |
| 2015 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2016 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2017 | armnn::IConnectableLayer* const softmaxLayer = network->AddSoftmaxLayer(descriptor, layerName.c_str()); |
| 2018 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2019 | |
| 2020 | inputLayer->GetOutputSlot(0).Connect(softmaxLayer->GetInputSlot(0)); |
| 2021 | softmaxLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2022 | |
| 2023 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2024 | softmaxLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2025 | |
| 2026 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2027 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2028 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2029 | LayerVerifierBaseWithDescriptor<armnn::SoftmaxDescriptor> verifier(layerName, {info}, {info}, descriptor); |
| 2030 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2031 | } |
| 2032 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2033 | TEST_CASE("SerializeSpaceToBatchNd") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2034 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2035 | const std::string layerName("spaceToBatchNd"); |
| 2036 | const armnn::TensorInfo inputInfo({2, 1, 2, 4}, armnn::DataType::Float32); |
| 2037 | const armnn::TensorInfo outputInfo({8, 1, 1, 3}, armnn::DataType::Float32); |
| 2038 | |
| 2039 | armnn::SpaceToBatchNdDescriptor desc; |
| 2040 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 2041 | desc.m_BlockShape = {2, 2}; |
| 2042 | desc.m_PadList = {{0, 0}, {2, 0}}; |
| 2043 | |
| 2044 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2045 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2046 | armnn::IConnectableLayer* const spaceToBatchNdLayer = network->AddSpaceToBatchNdLayer(desc, layerName.c_str()); |
| 2047 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2048 | |
| 2049 | inputLayer->GetOutputSlot(0).Connect(spaceToBatchNdLayer->GetInputSlot(0)); |
| 2050 | spaceToBatchNdLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2051 | |
| 2052 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2053 | spaceToBatchNdLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2054 | |
| 2055 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2056 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2057 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2058 | LayerVerifierBaseWithDescriptor<armnn::SpaceToBatchNdDescriptor> verifier( |
| 2059 | layerName, {inputInfo}, {outputInfo}, desc); |
| 2060 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2061 | } |
| 2062 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2063 | TEST_CASE("SerializeSpaceToDepth") |
Aron Virginas-Tar | aa06714 | 2019-06-11 16:01:44 +0100 | [diff] [blame] | 2064 | { |
Aron Virginas-Tar | aa06714 | 2019-06-11 16:01:44 +0100 | [diff] [blame] | 2065 | const std::string layerName("spaceToDepth"); |
| 2066 | |
| 2067 | const armnn::TensorInfo inputInfo ({ 1, 16, 8, 3 }, armnn::DataType::Float32); |
| 2068 | const armnn::TensorInfo outputInfo({ 1, 8, 4, 12 }, armnn::DataType::Float32); |
| 2069 | |
| 2070 | armnn::SpaceToDepthDescriptor desc; |
| 2071 | desc.m_BlockSize = 2; |
| 2072 | desc.m_DataLayout = armnn::DataLayout::NHWC; |
| 2073 | |
| 2074 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2075 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2076 | armnn::IConnectableLayer* const spaceToDepthLayer = network->AddSpaceToDepthLayer(desc, layerName.c_str()); |
| 2077 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2078 | |
| 2079 | inputLayer->GetOutputSlot(0).Connect(spaceToDepthLayer->GetInputSlot(0)); |
| 2080 | spaceToDepthLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2081 | |
| 2082 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2083 | spaceToDepthLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2084 | |
| 2085 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2086 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | aa06714 | 2019-06-11 16:01:44 +0100 | [diff] [blame] | 2087 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2088 | LayerVerifierBaseWithDescriptor<armnn::SpaceToDepthDescriptor> verifier( |
| 2089 | layerName, {inputInfo}, {outputInfo}, desc); |
| 2090 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | aa06714 | 2019-06-11 16:01:44 +0100 | [diff] [blame] | 2091 | } |
| 2092 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2093 | TEST_CASE("SerializeSplitter") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2094 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2095 | const unsigned int numViews = 3; |
| 2096 | const unsigned int numDimensions = 4; |
| 2097 | const unsigned int inputShape[] = {1, 18, 4, 4}; |
| 2098 | const unsigned int outputShape[] = {1, 6, 4, 4}; |
| 2099 | |
| 2100 | // This is modelled on how the caffe parser sets up a splitter layer to partition an input along dimension one. |
| 2101 | unsigned int splitterDimSizes[4] = {static_cast<unsigned int>(inputShape[0]), |
| 2102 | static_cast<unsigned int>(inputShape[1]), |
| 2103 | static_cast<unsigned int>(inputShape[2]), |
| 2104 | static_cast<unsigned int>(inputShape[3])}; |
| 2105 | splitterDimSizes[1] /= numViews; |
| 2106 | armnn::ViewsDescriptor desc(numViews, numDimensions); |
| 2107 | |
| 2108 | for (unsigned int g = 0; g < numViews; ++g) |
| 2109 | { |
| 2110 | desc.SetViewOriginCoord(g, 1, splitterDimSizes[1] * g); |
| 2111 | |
| 2112 | for (unsigned int dimIdx=0; dimIdx < 4; dimIdx++) |
| 2113 | { |
| 2114 | desc.SetViewSize(g, dimIdx, splitterDimSizes[dimIdx]); |
| 2115 | } |
| 2116 | } |
| 2117 | |
| 2118 | const std::string layerName("splitter"); |
| 2119 | const armnn::TensorInfo inputInfo(numDimensions, inputShape, armnn::DataType::Float32); |
| 2120 | const armnn::TensorInfo outputInfo(numDimensions, outputShape, armnn::DataType::Float32); |
| 2121 | |
| 2122 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2123 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2124 | armnn::IConnectableLayer* const splitterLayer = network->AddSplitterLayer(desc, layerName.c_str()); |
| 2125 | armnn::IConnectableLayer* const outputLayer0 = network->AddOutputLayer(0); |
| 2126 | armnn::IConnectableLayer* const outputLayer1 = network->AddOutputLayer(1); |
| 2127 | armnn::IConnectableLayer* const outputLayer2 = network->AddOutputLayer(2); |
| 2128 | |
| 2129 | inputLayer->GetOutputSlot(0).Connect(splitterLayer->GetInputSlot(0)); |
| 2130 | splitterLayer->GetOutputSlot(0).Connect(outputLayer0->GetInputSlot(0)); |
| 2131 | splitterLayer->GetOutputSlot(1).Connect(outputLayer1->GetInputSlot(0)); |
| 2132 | splitterLayer->GetOutputSlot(2).Connect(outputLayer2->GetInputSlot(0)); |
| 2133 | |
| 2134 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2135 | splitterLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2136 | splitterLayer->GetOutputSlot(1).SetTensorInfo(outputInfo); |
| 2137 | splitterLayer->GetOutputSlot(2).SetTensorInfo(outputInfo); |
| 2138 | |
| 2139 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2140 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2141 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2142 | LayerVerifierBaseWithDescriptor<armnn::ViewsDescriptor> verifier( |
| 2143 | layerName, {inputInfo}, {outputInfo, outputInfo, outputInfo}, desc); |
| 2144 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2145 | } |
| 2146 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2147 | TEST_CASE("SerializeStack") |
Matthew Jackson | b5433ee | 2019-07-11 15:54:20 +0100 | [diff] [blame] | 2148 | { |
Matthew Jackson | b5433ee | 2019-07-11 15:54:20 +0100 | [diff] [blame] | 2149 | const std::string layerName("stack"); |
| 2150 | |
| 2151 | armnn::TensorInfo inputTensorInfo ({4, 3, 5}, armnn::DataType::Float32); |
| 2152 | armnn::TensorInfo outputTensorInfo({4, 3, 2, 5}, armnn::DataType::Float32); |
| 2153 | |
| 2154 | armnn::StackDescriptor descriptor(2, 2, {4, 3, 5}); |
| 2155 | |
| 2156 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2157 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(0); |
| 2158 | armnn::IConnectableLayer* const inputLayer2 = network->AddInputLayer(1); |
| 2159 | armnn::IConnectableLayer* const stackLayer = network->AddStackLayer(descriptor, layerName.c_str()); |
| 2160 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2161 | |
| 2162 | inputLayer1->GetOutputSlot(0).Connect(stackLayer->GetInputSlot(0)); |
| 2163 | inputLayer2->GetOutputSlot(0).Connect(stackLayer->GetInputSlot(1)); |
| 2164 | stackLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2165 | |
| 2166 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 2167 | inputLayer2->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 2168 | stackLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 2169 | |
| 2170 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2171 | CHECK(deserializedNetwork); |
Matthew Jackson | b5433ee | 2019-07-11 15:54:20 +0100 | [diff] [blame] | 2172 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2173 | LayerVerifierBaseWithDescriptor<armnn::StackDescriptor> verifier( |
| 2174 | layerName, {inputTensorInfo, inputTensorInfo}, {outputTensorInfo}, descriptor); |
| 2175 | deserializedNetwork->ExecuteStrategy(verifier); |
Matthew Jackson | b5433ee | 2019-07-11 15:54:20 +0100 | [diff] [blame] | 2176 | } |
| 2177 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2178 | TEST_CASE("SerializeStandIn") |
Aron Virginas-Tar | 85121a2 | 2019-10-23 10:41:35 +0100 | [diff] [blame] | 2179 | { |
Aron Virginas-Tar | 85121a2 | 2019-10-23 10:41:35 +0100 | [diff] [blame] | 2180 | const std::string layerName("standIn"); |
| 2181 | |
| 2182 | armnn::TensorInfo tensorInfo({ 1u }, armnn::DataType::Float32); |
| 2183 | armnn::StandInDescriptor descriptor(2u, 2u); |
| 2184 | |
| 2185 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2186 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 2187 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 2188 | armnn::IConnectableLayer* const standInLayer = network->AddStandInLayer(descriptor, layerName.c_str()); |
| 2189 | armnn::IConnectableLayer* const outputLayer0 = network->AddOutputLayer(0); |
| 2190 | armnn::IConnectableLayer* const outputLayer1 = network->AddOutputLayer(1); |
| 2191 | |
| 2192 | inputLayer0->GetOutputSlot(0).Connect(standInLayer->GetInputSlot(0)); |
| 2193 | inputLayer0->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 2194 | |
| 2195 | inputLayer1->GetOutputSlot(0).Connect(standInLayer->GetInputSlot(1)); |
| 2196 | inputLayer1->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 2197 | |
| 2198 | standInLayer->GetOutputSlot(0).Connect(outputLayer0->GetInputSlot(0)); |
| 2199 | standInLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 2200 | |
| 2201 | standInLayer->GetOutputSlot(1).Connect(outputLayer1->GetInputSlot(0)); |
| 2202 | standInLayer->GetOutputSlot(1).SetTensorInfo(tensorInfo); |
| 2203 | |
| 2204 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2205 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | 85121a2 | 2019-10-23 10:41:35 +0100 | [diff] [blame] | 2206 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2207 | LayerVerifierBaseWithDescriptor<armnn::StandInDescriptor> verifier( |
| 2208 | layerName, { tensorInfo, tensorInfo }, { tensorInfo, tensorInfo }, descriptor); |
| 2209 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | 85121a2 | 2019-10-23 10:41:35 +0100 | [diff] [blame] | 2210 | } |
| 2211 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2212 | TEST_CASE("SerializeStridedSlice") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2213 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2214 | const std::string layerName("stridedSlice"); |
| 2215 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({3, 2, 3, 1}, armnn::DataType::Float32); |
| 2216 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({3, 1}, armnn::DataType::Float32); |
| 2217 | |
| 2218 | armnn::StridedSliceDescriptor desc({0, 0, 1, 0}, {1, 1, 1, 1}, {1, 1, 1, 1}); |
| 2219 | desc.m_EndMask = (1 << 4) - 1; |
| 2220 | desc.m_ShrinkAxisMask = (1 << 1) | (1 << 2); |
| 2221 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 2222 | |
| 2223 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2224 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2225 | armnn::IConnectableLayer* const stridedSliceLayer = network->AddStridedSliceLayer(desc, layerName.c_str()); |
| 2226 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2227 | |
| 2228 | inputLayer->GetOutputSlot(0).Connect(stridedSliceLayer->GetInputSlot(0)); |
| 2229 | stridedSliceLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2230 | |
| 2231 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2232 | stridedSliceLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2233 | |
| 2234 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2235 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2236 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2237 | LayerVerifierBaseWithDescriptor<armnn::StridedSliceDescriptor> verifier( |
| 2238 | layerName, {inputInfo}, {outputInfo}, desc); |
| 2239 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2240 | } |
| 2241 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2242 | TEST_CASE("SerializeSubtraction") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2243 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2244 | const std::string layerName("subtraction"); |
| 2245 | const armnn::TensorInfo info({ 1, 4 }, armnn::DataType::Float32); |
| 2246 | |
| 2247 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2248 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 2249 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 2250 | armnn::IConnectableLayer* const subtractionLayer = network->AddSubtractionLayer(layerName.c_str()); |
| 2251 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2252 | |
| 2253 | inputLayer0->GetOutputSlot(0).Connect(subtractionLayer->GetInputSlot(0)); |
| 2254 | inputLayer1->GetOutputSlot(0).Connect(subtractionLayer->GetInputSlot(1)); |
| 2255 | subtractionLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2256 | |
| 2257 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 2258 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 2259 | subtractionLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2260 | |
| 2261 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2262 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2263 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2264 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 2265 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 2266 | } |
| 2267 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2268 | TEST_CASE("SerializeSwitch") |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2269 | { |
| 2270 | class SwitchLayerVerifier : public LayerVerifierBase |
| 2271 | { |
| 2272 | public: |
| 2273 | SwitchLayerVerifier(const std::string& layerName, |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 2274 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 2275 | const std::vector<armnn::TensorInfo>& outputInfos) |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2276 | : LayerVerifierBase(layerName, inputInfos, outputInfos) {} |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2277 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2278 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 2279 | const armnn::BaseDescriptor& descriptor, |
| 2280 | const std::vector<armnn::ConstTensor>& constants, |
| 2281 | const char* name, |
| 2282 | const armnn::LayerBindingId id = 0) override |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2283 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2284 | armnn::IgnoreUnused(descriptor, constants, id); |
| 2285 | switch (layer->GetType()) |
| 2286 | { |
| 2287 | case armnn::LayerType::Input: break; |
| 2288 | case armnn::LayerType::Output: break; |
| 2289 | case armnn::LayerType::Constant: break; |
| 2290 | case armnn::LayerType::Switch: |
| 2291 | { |
| 2292 | VerifyNameAndConnections(layer, name); |
| 2293 | break; |
| 2294 | } |
| 2295 | default: |
| 2296 | { |
| 2297 | throw armnn::Exception("Unexpected layer type in Switch test model"); |
| 2298 | } |
| 2299 | } |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2300 | } |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2301 | }; |
| 2302 | |
| 2303 | const std::string layerName("switch"); |
| 2304 | const armnn::TensorInfo info({ 1, 4 }, armnn::DataType::Float32); |
| 2305 | |
| 2306 | std::vector<float> constantData = GenerateRandomData<float>(info.GetNumElements()); |
| 2307 | armnn::ConstTensor constTensor(info, constantData); |
| 2308 | |
| 2309 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2310 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2311 | armnn::IConnectableLayer* const constantLayer = network->AddConstantLayer(constTensor, "constant"); |
| 2312 | armnn::IConnectableLayer* const switchLayer = network->AddSwitchLayer(layerName.c_str()); |
| 2313 | armnn::IConnectableLayer* const trueOutputLayer = network->AddOutputLayer(0); |
| 2314 | armnn::IConnectableLayer* const falseOutputLayer = network->AddOutputLayer(1); |
| 2315 | |
| 2316 | inputLayer->GetOutputSlot(0).Connect(switchLayer->GetInputSlot(0)); |
| 2317 | constantLayer->GetOutputSlot(0).Connect(switchLayer->GetInputSlot(1)); |
| 2318 | switchLayer->GetOutputSlot(0).Connect(trueOutputLayer->GetInputSlot(0)); |
| 2319 | switchLayer->GetOutputSlot(1).Connect(falseOutputLayer->GetInputSlot(0)); |
| 2320 | |
| 2321 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2322 | constantLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2323 | switchLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2324 | switchLayer->GetOutputSlot(1).SetTensorInfo(info); |
| 2325 | |
| 2326 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2327 | CHECK(deserializedNetwork); |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2328 | |
| 2329 | SwitchLayerVerifier verifier(layerName, {info, info}, {info, info}); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2330 | deserializedNetwork->ExecuteStrategy(verifier); |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2331 | } |
| 2332 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2333 | TEST_CASE("SerializeTranspose") |
Mike Kelly | c9ea45a | 2020-02-28 18:11:58 +0000 | [diff] [blame] | 2334 | { |
Mike Kelly | c9ea45a | 2020-02-28 18:11:58 +0000 | [diff] [blame] | 2335 | const std::string layerName("transpose"); |
| 2336 | const armnn::TensorInfo inputTensorInfo({4, 3, 2, 1}, armnn::DataType::Float32); |
| 2337 | const armnn::TensorInfo outputTensorInfo({1, 2, 3, 4}, armnn::DataType::Float32); |
| 2338 | |
| 2339 | armnn::TransposeDescriptor descriptor(armnn::PermutationVector({3, 2, 1, 0})); |
| 2340 | |
| 2341 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2342 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2343 | armnn::IConnectableLayer* const transposeLayer = network->AddTransposeLayer(descriptor, layerName.c_str()); |
| 2344 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2345 | |
| 2346 | inputLayer->GetOutputSlot(0).Connect(transposeLayer->GetInputSlot(0)); |
| 2347 | transposeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2348 | |
| 2349 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 2350 | transposeLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 2351 | |
| 2352 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2353 | CHECK(deserializedNetwork); |
Mike Kelly | c9ea45a | 2020-02-28 18:11:58 +0000 | [diff] [blame] | 2354 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2355 | LayerVerifierBaseWithDescriptor<armnn::TransposeDescriptor> verifier( |
| 2356 | layerName, {inputTensorInfo}, {outputTensorInfo}, descriptor); |
| 2357 | deserializedNetwork->ExecuteStrategy(verifier); |
Mike Kelly | c9ea45a | 2020-02-28 18:11:58 +0000 | [diff] [blame] | 2358 | } |
| 2359 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2360 | TEST_CASE("SerializeTransposeConvolution2d") |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2361 | { |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2362 | const std::string layerName("transposeConvolution2d"); |
| 2363 | const armnn::TensorInfo inputInfo ({ 1, 7, 7, 1 }, armnn::DataType::Float32); |
| 2364 | const armnn::TensorInfo outputInfo({ 1, 9, 9, 1 }, armnn::DataType::Float32); |
| 2365 | |
| 2366 | const armnn::TensorInfo weightsInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
| 2367 | const armnn::TensorInfo biasesInfo ({ 1 }, armnn::DataType::Float32); |
| 2368 | |
| 2369 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 2370 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 2371 | |
| 2372 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 2373 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 2374 | |
| 2375 | armnn::TransposeConvolution2dDescriptor descriptor; |
| 2376 | descriptor.m_PadLeft = 1; |
| 2377 | descriptor.m_PadRight = 1; |
| 2378 | descriptor.m_PadTop = 1; |
| 2379 | descriptor.m_PadBottom = 1; |
| 2380 | descriptor.m_StrideX = 1; |
| 2381 | descriptor.m_StrideY = 1; |
| 2382 | descriptor.m_BiasEnabled = true; |
| 2383 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 2384 | |
| 2385 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2386 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2387 | armnn::IConnectableLayer* const convLayer = |
| 2388 | network->AddTransposeConvolution2dLayer(descriptor, |
| 2389 | weights, |
| 2390 | armnn::Optional<armnn::ConstTensor>(biases), |
| 2391 | layerName.c_str()); |
| 2392 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2393 | |
| 2394 | inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0)); |
| 2395 | convLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2396 | |
| 2397 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2398 | convLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2399 | |
| 2400 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2401 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2402 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2403 | const std::vector<armnn::ConstTensor> constants {weights, biases}; |
| 2404 | LayerVerifierBaseWithDescriptorAndConstants<armnn::TransposeConvolution2dDescriptor> verifier( |
| 2405 | layerName, {inputInfo}, {outputInfo}, descriptor, constants); |
| 2406 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2407 | } |
| 2408 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2409 | TEST_CASE("SerializeDeserializeNonLinearNetwork") |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2410 | { |
| 2411 | class ConstantLayerVerifier : public LayerVerifierBase |
| 2412 | { |
| 2413 | public: |
| 2414 | ConstantLayerVerifier(const std::string& layerName, |
| 2415 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 2416 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 2417 | const armnn::ConstTensor& layerInput) |
| 2418 | : LayerVerifierBase(layerName, inputInfos, outputInfos) |
| 2419 | , m_LayerInput(layerInput) {} |
| 2420 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2421 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 2422 | const armnn::BaseDescriptor& descriptor, |
| 2423 | const std::vector<armnn::ConstTensor>& constants, |
| 2424 | const char* name, |
| 2425 | const armnn::LayerBindingId id = 0) override |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2426 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2427 | armnn::IgnoreUnused(descriptor, constants, id); |
| 2428 | switch (layer->GetType()) |
| 2429 | { |
| 2430 | case armnn::LayerType::Input: break; |
| 2431 | case armnn::LayerType::Output: break; |
| 2432 | case armnn::LayerType::Addition: break; |
| 2433 | case armnn::LayerType::Constant: |
| 2434 | { |
| 2435 | VerifyNameAndConnections(layer, name); |
| 2436 | CompareConstTensor(constants.at(0), m_LayerInput); |
| 2437 | break; |
| 2438 | } |
| 2439 | default: |
| 2440 | { |
| 2441 | throw armnn::Exception("Unexpected layer type in test model"); |
| 2442 | } |
| 2443 | } |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2444 | } |
| 2445 | |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2446 | private: |
| 2447 | armnn::ConstTensor m_LayerInput; |
| 2448 | }; |
| 2449 | |
| 2450 | const std::string layerName("constant"); |
| 2451 | const armnn::TensorInfo info({ 2, 3 }, armnn::DataType::Float32); |
| 2452 | |
| 2453 | std::vector<float> constantData = GenerateRandomData<float>(info.GetNumElements()); |
| 2454 | armnn::ConstTensor constTensor(info, constantData); |
| 2455 | |
| 2456 | armnn::INetworkPtr network(armnn::INetwork::Create()); |
| 2457 | armnn::IConnectableLayer* input = network->AddInputLayer(0); |
| 2458 | armnn::IConnectableLayer* add = network->AddAdditionLayer(); |
| 2459 | armnn::IConnectableLayer* constant = network->AddConstantLayer(constTensor, layerName.c_str()); |
| 2460 | armnn::IConnectableLayer* output = network->AddOutputLayer(0); |
| 2461 | |
| 2462 | input->GetOutputSlot(0).Connect(add->GetInputSlot(0)); |
| 2463 | constant->GetOutputSlot(0).Connect(add->GetInputSlot(1)); |
| 2464 | add->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| 2465 | |
| 2466 | input->GetOutputSlot(0).SetTensorInfo(info); |
| 2467 | constant->GetOutputSlot(0).SetTensorInfo(info); |
| 2468 | add->GetOutputSlot(0).SetTensorInfo(info); |
| 2469 | |
| 2470 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2471 | CHECK(deserializedNetwork); |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2472 | |
| 2473 | ConstantLayerVerifier verifier(layerName, {}, {info}, constTensor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2474 | deserializedNetwork->ExecuteStrategy(verifier); |
James Conroy | 8d33318 | 2020-05-13 10:27:58 +0100 | [diff] [blame] | 2475 | } |
| 2476 | |
Teresa Charlin | 50de4fa | 2021-05-31 18:47:33 +0100 | [diff] [blame] | 2477 | } |