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 | |
Samuel Yap | a04f4a1 | 2022-08-19 11:14:38 +0100 | [diff] [blame] | 95 | TEST_CASE("SerializeBatchMatMul") |
| 96 | { |
| 97 | const std::string layerName("batchMatMul"); |
| 98 | const armnn::TensorInfo inputXInfo({2, 3, 4, 5}, armnn::DataType::Float32); |
| 99 | const armnn::TensorInfo inputYInfo({2, 4, 3, 5}, armnn::DataType::Float32); |
| 100 | |
| 101 | const armnn::TensorInfo outputInfo({2, 3, 3, 5}, armnn::DataType::Float32); |
| 102 | |
| 103 | armnn::BatchMatMulDescriptor descriptor(false, |
| 104 | false, |
| 105 | false, |
| 106 | false, |
| 107 | armnn::DataLayout::NHWC, |
| 108 | armnn::DataLayout::NHWC); |
| 109 | |
| 110 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 111 | armnn::IConnectableLayer* const inputXLayer = network->AddInputLayer(0); |
| 112 | armnn::IConnectableLayer* const inputYLayer = network->AddInputLayer(1); |
| 113 | |
| 114 | armnn::IConnectableLayer* const batchMatMulLayer = |
| 115 | network->AddBatchMatMulLayer(descriptor, layerName.c_str()); |
| 116 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 117 | |
| 118 | inputXLayer->GetOutputSlot(0).Connect(batchMatMulLayer->GetInputSlot(0)); |
| 119 | inputYLayer->GetOutputSlot(0).Connect(batchMatMulLayer->GetInputSlot(1)); |
| 120 | batchMatMulLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 121 | |
| 122 | inputXLayer->GetOutputSlot(0).SetTensorInfo(inputXInfo); |
| 123 | inputYLayer->GetOutputSlot(0).SetTensorInfo(inputYInfo); |
| 124 | batchMatMulLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 125 | |
| 126 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 127 | CHECK(deserializedNetwork); |
| 128 | |
| 129 | LayerVerifierBaseWithDescriptor<armnn::BatchMatMulDescriptor> verifier(layerName, |
| 130 | {inputXInfo, inputYInfo}, |
| 131 | {outputInfo}, |
| 132 | descriptor); |
| 133 | deserializedNetwork->ExecuteStrategy(verifier); |
| 134 | } |
| 135 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 136 | TEST_CASE("SerializeBatchNormalization") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 137 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 138 | const std::string layerName("batchNormalization"); |
| 139 | const armnn::TensorInfo inputInfo ({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
| 140 | const armnn::TensorInfo outputInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
| 141 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 142 | const armnn::TensorInfo meanInfo({1}, armnn::DataType::Float32, 0.0f, 0, true); |
| 143 | const armnn::TensorInfo varianceInfo({1}, armnn::DataType::Float32, 0.0f, 0, true); |
| 144 | const armnn::TensorInfo betaInfo({1}, armnn::DataType::Float32, 0.0f, 0, true); |
| 145 | const armnn::TensorInfo gammaInfo({1}, armnn::DataType::Float32, 0.0f, 0, true); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 146 | |
| 147 | armnn::BatchNormalizationDescriptor descriptor; |
| 148 | descriptor.m_Eps = 0.0010000000475f; |
| 149 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 150 | |
| 151 | std::vector<float> meanData({5.0}); |
| 152 | std::vector<float> varianceData({2.0}); |
| 153 | std::vector<float> betaData({1.0}); |
| 154 | std::vector<float> gammaData({0.0}); |
| 155 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 156 | std::vector<armnn::ConstTensor> constants; |
| 157 | constants.emplace_back(armnn::ConstTensor(meanInfo, meanData)); |
| 158 | constants.emplace_back(armnn::ConstTensor(varianceInfo, varianceData)); |
| 159 | constants.emplace_back(armnn::ConstTensor(betaInfo, betaData)); |
| 160 | constants.emplace_back(armnn::ConstTensor(gammaInfo, gammaData)); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 161 | |
| 162 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 163 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 164 | armnn::IConnectableLayer* const batchNormalizationLayer = |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 165 | network->AddBatchNormalizationLayer(descriptor, |
| 166 | constants[0], |
| 167 | constants[1], |
| 168 | constants[2], |
| 169 | constants[3], |
| 170 | layerName.c_str()); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 171 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 172 | |
| 173 | inputLayer->GetOutputSlot(0).Connect(batchNormalizationLayer->GetInputSlot(0)); |
| 174 | batchNormalizationLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 175 | |
| 176 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 177 | batchNormalizationLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 178 | |
| 179 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 180 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 181 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 182 | LayerVerifierBaseWithDescriptorAndConstants<armnn::BatchNormalizationDescriptor> verifier( |
| 183 | layerName, {inputInfo}, {outputInfo}, descriptor, constants); |
| 184 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 185 | } |
| 186 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 187 | TEST_CASE("SerializeBatchToSpaceNd") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 188 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 189 | const std::string layerName("spaceToBatchNd"); |
| 190 | const armnn::TensorInfo inputInfo({4, 1, 2, 2}, armnn::DataType::Float32); |
| 191 | const armnn::TensorInfo outputInfo({1, 1, 4, 4}, armnn::DataType::Float32); |
| 192 | |
| 193 | armnn::BatchToSpaceNdDescriptor desc; |
| 194 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 195 | desc.m_BlockShape = {2, 2}; |
| 196 | desc.m_Crops = {{0, 0}, {0, 0}}; |
| 197 | |
| 198 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 199 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 200 | armnn::IConnectableLayer* const batchToSpaceNdLayer = network->AddBatchToSpaceNdLayer(desc, layerName.c_str()); |
| 201 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 202 | |
| 203 | inputLayer->GetOutputSlot(0).Connect(batchToSpaceNdLayer->GetInputSlot(0)); |
| 204 | batchToSpaceNdLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 205 | |
| 206 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 207 | batchToSpaceNdLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 208 | |
| 209 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 210 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 211 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 212 | LayerVerifierBaseWithDescriptor<armnn::BatchToSpaceNdDescriptor> verifier(layerName, |
| 213 | {inputInfo}, |
| 214 | {outputInfo}, |
| 215 | desc); |
| 216 | deserializedNetwork->ExecuteStrategy(verifier); |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 217 | } |
| 218 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 219 | TEST_CASE("SerializeCast") |
mathad01 | b392e98 | 2021-04-07 12:07:30 +0100 | [diff] [blame] | 220 | { |
| 221 | const std::string layerName("cast"); |
| 222 | |
| 223 | const armnn::TensorShape shape{1, 5, 2, 3}; |
| 224 | |
| 225 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Signed32); |
| 226 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Float32); |
| 227 | |
| 228 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 229 | armnn::IConnectableLayer* inputLayer = network->AddInputLayer(0); |
| 230 | armnn::IConnectableLayer* castLayer = network->AddCastLayer(layerName.c_str()); |
| 231 | armnn::IConnectableLayer* outputLayer = network->AddOutputLayer(0); |
| 232 | |
| 233 | inputLayer->GetOutputSlot(0).Connect(castLayer->GetInputSlot(0)); |
| 234 | castLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 235 | |
| 236 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 237 | castLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 238 | |
| 239 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 240 | CHECK(deserializedNetwork); |
mathad01 | b392e98 | 2021-04-07 12:07:30 +0100 | [diff] [blame] | 241 | |
| 242 | LayerVerifierBase verifier(layerName, {inputInfo}, {outputInfo}); |
| 243 | deserializedNetwork->ExecuteStrategy(verifier); |
| 244 | } |
| 245 | |
Simon Obute | 51f6777 | 2021-09-03 15:50:13 +0100 | [diff] [blame] | 246 | TEST_CASE("SerializeChannelShuffle") |
| 247 | { |
| 248 | const std::string layerName("channelShuffle"); |
| 249 | const armnn::TensorInfo inputInfo({1, 9}, armnn::DataType::Float32); |
| 250 | const armnn::TensorInfo outputInfo({1, 9}, armnn::DataType::Float32); |
| 251 | |
| 252 | armnn::ChannelShuffleDescriptor descriptor({3, 1}); |
| 253 | |
| 254 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 255 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 256 | armnn::IConnectableLayer* const ChannelShuffleLayer = |
| 257 | network->AddChannelShuffleLayer(descriptor, layerName.c_str()); |
| 258 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 259 | |
| 260 | inputLayer->GetOutputSlot(0).Connect(ChannelShuffleLayer->GetInputSlot(0)); |
| 261 | ChannelShuffleLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 262 | |
| 263 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 264 | ChannelShuffleLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 265 | |
| 266 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 267 | CHECK(deserializedNetwork); |
| 268 | |
| 269 | LayerVerifierBaseWithDescriptor<armnn::ChannelShuffleDescriptor> verifier( |
| 270 | layerName, {inputInfo}, {outputInfo}, descriptor); |
| 271 | deserializedNetwork->ExecuteStrategy(verifier); |
| 272 | } |
| 273 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 274 | TEST_CASE("SerializeComparison") |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 275 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 276 | const std::string layerName("comparison"); |
| 277 | |
| 278 | const armnn::TensorShape shape{2, 1, 2, 4}; |
| 279 | |
| 280 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Float32); |
| 281 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Boolean); |
| 282 | |
| 283 | armnn::ComparisonDescriptor descriptor(armnn::ComparisonOperation::NotEqual); |
| 284 | |
| 285 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 286 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 287 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 288 | armnn::IConnectableLayer* const comparisonLayer = network->AddComparisonLayer(descriptor, layerName.c_str()); |
| 289 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 290 | |
| 291 | inputLayer0->GetOutputSlot(0).Connect(comparisonLayer->GetInputSlot(0)); |
| 292 | inputLayer1->GetOutputSlot(0).Connect(comparisonLayer->GetInputSlot(1)); |
| 293 | comparisonLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 294 | |
| 295 | inputLayer0->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 296 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 297 | comparisonLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 298 | |
| 299 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 300 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 301 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 302 | LayerVerifierBaseWithDescriptor<armnn::ComparisonDescriptor> verifier(layerName, |
| 303 | { inputInfo, inputInfo }, |
| 304 | { outputInfo }, |
| 305 | descriptor); |
| 306 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 307 | } |
| 308 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 309 | TEST_CASE("SerializeConstant") |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 310 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 311 | class ConstantLayerVerifier : public LayerVerifierBase |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 312 | { |
| 313 | public: |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 314 | ConstantLayerVerifier(const std::string& layerName, |
| 315 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 316 | const std::vector<armnn::TensorInfo>& outputInfos, |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 317 | const std::vector<armnn::ConstTensor>& constants) |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 318 | : LayerVerifierBase(layerName, inputInfos, outputInfos) |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 319 | , m_Constants(constants) {} |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 320 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 321 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 322 | const armnn::BaseDescriptor& descriptor, |
| 323 | const std::vector<armnn::ConstTensor>& constants, |
| 324 | const char* name, |
| 325 | const armnn::LayerBindingId id = 0) override |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 326 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 327 | armnn::IgnoreUnused(descriptor, id); |
| 328 | |
| 329 | switch (layer->GetType()) |
| 330 | { |
| 331 | case armnn::LayerType::Input: break; |
| 332 | case armnn::LayerType::Output: break; |
| 333 | case armnn::LayerType::Addition: break; |
| 334 | default: |
| 335 | { |
| 336 | this->VerifyNameAndConnections(layer, name); |
| 337 | |
| 338 | for (std::size_t i = 0; i < constants.size(); i++) |
| 339 | { |
| 340 | CompareConstTensor(constants[i], m_Constants[i]); |
| 341 | } |
| 342 | } |
| 343 | } |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 344 | } |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 345 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 346 | private: |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 347 | const std::vector<armnn::ConstTensor> m_Constants; |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 348 | }; |
| 349 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 350 | const std::string layerName("constant"); |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 351 | const armnn::TensorInfo info({ 2, 3 }, armnn::DataType::Float32, 0.0f, 0, true); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 352 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 353 | std::vector<float> constantData = GenerateRandomData<float>(info.GetNumElements()); |
| 354 | armnn::ConstTensor constTensor(info, constantData); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 355 | |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 356 | armnn::INetworkPtr network(armnn::INetwork::Create()); |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 357 | armnn::IConnectableLayer* input = network->AddInputLayer(0); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 358 | armnn::IConnectableLayer* constant = network->AddConstantLayer(constTensor, layerName.c_str()); |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 359 | armnn::IConnectableLayer* add = network->AddAdditionLayer(); |
| 360 | armnn::IConnectableLayer* output = network->AddOutputLayer(0); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 361 | |
| 362 | input->GetOutputSlot(0).Connect(add->GetInputSlot(0)); |
| 363 | constant->GetOutputSlot(0).Connect(add->GetInputSlot(1)); |
| 364 | add->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| 365 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 366 | input->GetOutputSlot(0).SetTensorInfo(info); |
| 367 | constant->GetOutputSlot(0).SetTensorInfo(info); |
| 368 | add->GetOutputSlot(0).SetTensorInfo(info); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 369 | |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 370 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 371 | CHECK(deserializedNetwork); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 372 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 373 | ConstantLayerVerifier verifier(layerName, {}, {info}, {constTensor}); |
| 374 | deserializedNetwork->ExecuteStrategy(verifier); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 375 | } |
| 376 | |
Keith Davis | b4dd5cc | 2022-04-07 11:32:00 +0100 | [diff] [blame] | 377 | using Convolution2dDescriptor = armnn::Convolution2dDescriptor; |
| 378 | class Convolution2dLayerVerifier : public LayerVerifierBaseWithDescriptor<Convolution2dDescriptor> |
| 379 | { |
| 380 | public: |
| 381 | Convolution2dLayerVerifier(const std::string& layerName, |
| 382 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 383 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 384 | const Convolution2dDescriptor& descriptor) |
| 385 | : LayerVerifierBaseWithDescriptor<Convolution2dDescriptor>(layerName, inputInfos, outputInfos, descriptor) {} |
| 386 | |
| 387 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 388 | const armnn::BaseDescriptor& descriptor, |
| 389 | const std::vector<armnn::ConstTensor>& constants, |
| 390 | const char* name, |
| 391 | const armnn::LayerBindingId id = 0) override |
| 392 | { |
| 393 | armnn::IgnoreUnused(constants, id); |
| 394 | switch (layer->GetType()) |
| 395 | { |
| 396 | case armnn::LayerType::Input: break; |
| 397 | case armnn::LayerType::Output: break; |
| 398 | case armnn::LayerType::Constant: break; |
| 399 | default: |
| 400 | { |
| 401 | VerifyNameAndConnections(layer, name); |
| 402 | const Convolution2dDescriptor& layerDescriptor = |
| 403 | static_cast<const Convolution2dDescriptor&>(descriptor); |
| 404 | CHECK(layerDescriptor.m_BiasEnabled == m_Descriptor.m_BiasEnabled); |
| 405 | } |
| 406 | } |
| 407 | } |
| 408 | }; |
| 409 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 410 | TEST_CASE("SerializeConvolution2d") |
Finn Williams | dd2ba7e | 2019-03-01 11:51:52 +0000 | [diff] [blame] | 411 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 412 | const std::string layerName("convolution2d"); |
| 413 | const armnn::TensorInfo inputInfo ({ 1, 5, 5, 1 }, armnn::DataType::Float32); |
| 414 | const armnn::TensorInfo outputInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
Saoirse Stewart | 263829c | 2019-02-19 15:54:14 +0000 | [diff] [blame] | 415 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 416 | const armnn::TensorInfo weightsInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32, 0.0f, 0, true); |
| 417 | const armnn::TensorInfo biasesInfo ({ 1 }, armnn::DataType::Float32, 0.0f, 0, true); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 418 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 419 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 420 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 421 | |
| 422 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 423 | armnn::ConstTensor biases(biasesInfo, biasesData); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 424 | |
| 425 | armnn::Convolution2dDescriptor descriptor; |
| 426 | descriptor.m_PadLeft = 1; |
| 427 | descriptor.m_PadRight = 1; |
| 428 | descriptor.m_PadTop = 1; |
| 429 | descriptor.m_PadBottom = 1; |
| 430 | descriptor.m_StrideX = 2; |
| 431 | descriptor.m_StrideY = 2; |
Aron Virginas-Tar | 5e1b0cf | 2019-06-21 14:20:11 +0100 | [diff] [blame] | 432 | descriptor.m_DilationX = 2; |
| 433 | descriptor.m_DilationY = 2; |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 434 | descriptor.m_BiasEnabled = true; |
| 435 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 436 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 437 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 438 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
Teresa Charlin | d936033 | 2022-08-30 14:27:10 +0100 | [diff] [blame] | 439 | armnn::IConnectableLayer* const weightsLayer = network->AddConstantLayer(weights, "weights"); |
| 440 | armnn::IConnectableLayer* const biasLayer = network->AddConstantLayer(biases, "bias"); |
| 441 | armnn::IConnectableLayer* const convLayer = network->AddConvolution2dLayer(descriptor, layerName.c_str()); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 442 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 443 | |
| 444 | inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0)); |
Teresa Charlin | d936033 | 2022-08-30 14:27:10 +0100 | [diff] [blame] | 445 | weightsLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(1)); |
| 446 | biasLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(2)); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 447 | convLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 448 | |
| 449 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
Teresa Charlin | d936033 | 2022-08-30 14:27:10 +0100 | [diff] [blame] | 450 | weightsLayer->GetOutputSlot(0).SetTensorInfo(weightsInfo); |
| 451 | biasLayer->GetOutputSlot(0).SetTensorInfo(biasesInfo); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 452 | convLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 453 | |
| 454 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 455 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 456 | |
Keith Davis | b4dd5cc | 2022-04-07 11:32:00 +0100 | [diff] [blame] | 457 | Convolution2dLayerVerifier verifier(layerName, {inputInfo, weightsInfo, biasesInfo}, {outputInfo}, descriptor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 458 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 459 | } |
| 460 | |
Teresa Charlin | d936033 | 2022-08-30 14:27:10 +0100 | [diff] [blame] | 461 | TEST_CASE("SerializeConvolution2dWithPerAxisParams") |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 462 | { |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 463 | using namespace armnn; |
| 464 | |
| 465 | const std::string layerName("convolution2dWithPerAxis"); |
| 466 | const TensorInfo inputInfo ({ 1, 3, 1, 2 }, DataType::QAsymmU8, 0.55f, 128); |
| 467 | const TensorInfo outputInfo({ 1, 3, 1, 3 }, DataType::QAsymmU8, 0.75f, 128); |
| 468 | |
| 469 | const std::vector<float> quantScales{ 0.75f, 0.65f, 0.85f }; |
| 470 | constexpr unsigned int quantDimension = 0; |
| 471 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 472 | const TensorInfo kernelInfo({ 3, 1, 1, 2 }, DataType::QSymmS8, quantScales, quantDimension, true); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 473 | |
| 474 | const std::vector<float> biasQuantScales{ 0.25f, 0.50f, 0.75f }; |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 475 | const TensorInfo biasInfo({ 3 }, DataType::Signed32, biasQuantScales, quantDimension, true); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 476 | |
| 477 | std::vector<int8_t> kernelData = GenerateRandomData<int8_t>(kernelInfo.GetNumElements()); |
| 478 | armnn::ConstTensor weights(kernelInfo, kernelData); |
| 479 | std::vector<int32_t> biasData = GenerateRandomData<int32_t>(biasInfo.GetNumElements()); |
| 480 | armnn::ConstTensor biases(biasInfo, biasData); |
| 481 | |
| 482 | Convolution2dDescriptor descriptor; |
| 483 | descriptor.m_StrideX = 1; |
| 484 | descriptor.m_StrideY = 1; |
| 485 | descriptor.m_PadLeft = 0; |
| 486 | descriptor.m_PadRight = 0; |
| 487 | descriptor.m_PadTop = 0; |
| 488 | descriptor.m_PadBottom = 0; |
| 489 | descriptor.m_BiasEnabled = true; |
| 490 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 491 | |
| 492 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 493 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
Teresa Charlin | d936033 | 2022-08-30 14:27:10 +0100 | [diff] [blame] | 494 | armnn::IConnectableLayer* const weightsLayer = network->AddConstantLayer(weights, "weights"); |
| 495 | armnn::IConnectableLayer* const biasLayer = network->AddConstantLayer(weights, "bias"); |
| 496 | armnn::IConnectableLayer* const convLayer = network->AddConvolution2dLayer(descriptor, layerName.c_str()); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 497 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 498 | |
| 499 | inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0)); |
Teresa Charlin | d936033 | 2022-08-30 14:27:10 +0100 | [diff] [blame] | 500 | weightsLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(1)); |
| 501 | biasLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(2)); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 502 | convLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 503 | |
| 504 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
Teresa Charlin | d936033 | 2022-08-30 14:27:10 +0100 | [diff] [blame] | 505 | weightsLayer->GetOutputSlot(0).SetTensorInfo(kernelInfo); |
| 506 | biasLayer->GetOutputSlot(0).SetTensorInfo(biasInfo); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 507 | convLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 508 | |
| 509 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 510 | CHECK(deserializedNetwork); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 511 | |
Keith Davis | b4dd5cc | 2022-04-07 11:32:00 +0100 | [diff] [blame] | 512 | Convolution2dLayerVerifier verifier(layerName, {inputInfo, kernelInfo, biasInfo}, {outputInfo}, descriptor); |
| 513 | |
| 514 | deserializedNetwork->ExecuteStrategy(verifier); |
| 515 | } |
| 516 | |
| 517 | TEST_CASE("SerializeConvolution2dWeightsAndBiasesAsConstantLayers") |
| 518 | { |
| 519 | const std::string layerName("convolution2d"); |
| 520 | const armnn::TensorInfo inputInfo ({ 1, 5, 5, 1 }, armnn::DataType::Float32); |
| 521 | const armnn::TensorInfo outputInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
| 522 | |
| 523 | const armnn::TensorInfo weightsInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32, 0.0f, 0, true); |
| 524 | const armnn::TensorInfo biasesInfo ({ 1 }, armnn::DataType::Float32, 0.0f, 0, true); |
| 525 | |
| 526 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 527 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 528 | |
| 529 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 530 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 531 | |
| 532 | armnn::Convolution2dDescriptor descriptor; |
| 533 | descriptor.m_PadLeft = 1; |
| 534 | descriptor.m_PadRight = 1; |
| 535 | descriptor.m_PadTop = 1; |
| 536 | descriptor.m_PadBottom = 1; |
| 537 | descriptor.m_StrideX = 2; |
| 538 | descriptor.m_StrideY = 2; |
| 539 | descriptor.m_DilationX = 2; |
| 540 | descriptor.m_DilationY = 2; |
| 541 | descriptor.m_BiasEnabled = true; |
| 542 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 543 | |
| 544 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 545 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 546 | armnn::IConnectableLayer* const weightsLayer = network->AddConstantLayer(weights, "Weights"); |
| 547 | armnn::IConnectableLayer* const biasesLayer = network->AddConstantLayer(biases, "Biases"); |
| 548 | armnn::IConnectableLayer* const convLayer = network->AddConvolution2dLayer(descriptor, |
| 549 | layerName.c_str()); |
| 550 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 551 | |
| 552 | inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0)); |
| 553 | weightsLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(1)); |
| 554 | biasesLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(2)); |
| 555 | convLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 556 | |
| 557 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 558 | weightsLayer->GetOutputSlot(0).SetTensorInfo(weightsInfo); |
| 559 | biasesLayer->GetOutputSlot(0).SetTensorInfo(biasesInfo); |
| 560 | convLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 561 | |
| 562 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 563 | CHECK(deserializedNetwork); |
| 564 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 565 | const std::vector<armnn::ConstTensor>& constants {weights, biases}; |
Keith Davis | b4dd5cc | 2022-04-07 11:32:00 +0100 | [diff] [blame] | 566 | LayerVerifierBaseWithDescriptorAndConstants<armnn::Convolution2dDescriptor> verifier( |
| 567 | layerName, {inputInfo, weightsInfo, biasesInfo}, {outputInfo}, descriptor, constants); |
| 568 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 569 | deserializedNetwork->ExecuteStrategy(verifier); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 570 | } |
| 571 | |
Matthew Sloyan | b63a311 | 2021-09-08 13:05:51 +0100 | [diff] [blame] | 572 | TEST_CASE("SerializeConvolution3d") |
| 573 | { |
| 574 | const std::string layerName("convolution3d"); |
| 575 | const armnn::TensorInfo inputInfo ({ 1, 5, 5, 5, 1 }, armnn::DataType::Float32); |
| 576 | const armnn::TensorInfo outputInfo({ 1, 2, 2, 2, 1 }, armnn::DataType::Float32); |
| 577 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 578 | const armnn::TensorInfo weightsInfo({ 3, 3, 3, 1, 1 }, armnn::DataType::Float32, 0.0f, 0, true); |
| 579 | const armnn::TensorInfo biasesInfo ({ 1 }, armnn::DataType::Float32, 0.0f, 0, true); |
Matthew Sloyan | b63a311 | 2021-09-08 13:05:51 +0100 | [diff] [blame] | 580 | |
| 581 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 582 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 583 | |
| 584 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 585 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 586 | |
| 587 | armnn::Convolution3dDescriptor descriptor; |
| 588 | descriptor.m_PadLeft = 0; |
| 589 | descriptor.m_PadRight = 0; |
| 590 | descriptor.m_PadTop = 0; |
| 591 | descriptor.m_PadBottom = 0; |
| 592 | descriptor.m_PadFront = 0; |
| 593 | descriptor.m_PadBack = 0; |
| 594 | descriptor.m_DilationX = 1; |
| 595 | descriptor.m_DilationY = 1; |
| 596 | descriptor.m_DilationZ = 1; |
| 597 | descriptor.m_StrideX = 2; |
| 598 | descriptor.m_StrideY = 2; |
| 599 | descriptor.m_StrideZ = 2; |
| 600 | descriptor.m_BiasEnabled = true; |
| 601 | descriptor.m_DataLayout = armnn::DataLayout::NDHWC; |
| 602 | |
| 603 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 604 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
Matthew Sloyan | 5d7b0a3 | 2021-10-18 13:07:49 +0100 | [diff] [blame] | 605 | armnn::IConnectableLayer* const weightsLayer = network->AddConstantLayer(weights, "Weights"); |
| 606 | armnn::IConnectableLayer* const biasesLayer = network->AddConstantLayer(biases, "Biases"); |
| 607 | armnn::IConnectableLayer* const convLayer = network->AddConvolution3dLayer(descriptor, layerName.c_str()); |
Matthew Sloyan | b63a311 | 2021-09-08 13:05:51 +0100 | [diff] [blame] | 608 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 609 | |
| 610 | inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0)); |
Matthew Sloyan | 5d7b0a3 | 2021-10-18 13:07:49 +0100 | [diff] [blame] | 611 | weightsLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(1)); |
| 612 | biasesLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(2)); |
Matthew Sloyan | b63a311 | 2021-09-08 13:05:51 +0100 | [diff] [blame] | 613 | convLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 614 | |
| 615 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
Matthew Sloyan | 5d7b0a3 | 2021-10-18 13:07:49 +0100 | [diff] [blame] | 616 | weightsLayer->GetOutputSlot(0).SetTensorInfo(weightsInfo); |
| 617 | biasesLayer->GetOutputSlot(0).SetTensorInfo(biasesInfo); |
Matthew Sloyan | b63a311 | 2021-09-08 13:05:51 +0100 | [diff] [blame] | 618 | convLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 619 | |
| 620 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 621 | CHECK(deserializedNetwork); |
| 622 | |
Matthew Sloyan | 5d7b0a3 | 2021-10-18 13:07:49 +0100 | [diff] [blame] | 623 | LayerVerifierBaseWithDescriptor<armnn::Convolution3dDescriptor> verifier( |
| 624 | layerName, {inputInfo, weightsInfo, biasesInfo}, {outputInfo}, descriptor); |
Matthew Sloyan | b63a311 | 2021-09-08 13:05:51 +0100 | [diff] [blame] | 625 | deserializedNetwork->ExecuteStrategy(verifier); |
| 626 | } |
| 627 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 628 | TEST_CASE("SerializeDepthToSpace") |
Aron Virginas-Tar | da9d2d3 | 2019-09-20 10:42:02 +0100 | [diff] [blame] | 629 | { |
Aron Virginas-Tar | da9d2d3 | 2019-09-20 10:42:02 +0100 | [diff] [blame] | 630 | const std::string layerName("depthToSpace"); |
| 631 | |
| 632 | const armnn::TensorInfo inputInfo ({ 1, 8, 4, 12 }, armnn::DataType::Float32); |
| 633 | const armnn::TensorInfo outputInfo({ 1, 16, 8, 3 }, armnn::DataType::Float32); |
| 634 | |
| 635 | armnn::DepthToSpaceDescriptor desc; |
| 636 | desc.m_BlockSize = 2; |
| 637 | desc.m_DataLayout = armnn::DataLayout::NHWC; |
| 638 | |
| 639 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 640 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 641 | armnn::IConnectableLayer* const depthToSpaceLayer = network->AddDepthToSpaceLayer(desc, layerName.c_str()); |
| 642 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 643 | |
| 644 | inputLayer->GetOutputSlot(0).Connect(depthToSpaceLayer->GetInputSlot(0)); |
| 645 | depthToSpaceLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 646 | |
| 647 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 648 | depthToSpaceLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 649 | |
| 650 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 651 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | da9d2d3 | 2019-09-20 10:42:02 +0100 | [diff] [blame] | 652 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 653 | LayerVerifierBaseWithDescriptor<armnn::DepthToSpaceDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, desc); |
| 654 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | da9d2d3 | 2019-09-20 10:42:02 +0100 | [diff] [blame] | 655 | } |
| 656 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 657 | TEST_CASE("SerializeDepthwiseConvolution2d") |
Conor Kennedy | 79ffdf5 | 2019-03-01 14:24:54 +0000 | [diff] [blame] | 658 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 659 | const std::string layerName("depwiseConvolution2d"); |
| 660 | const armnn::TensorInfo inputInfo ({ 1, 5, 5, 3 }, armnn::DataType::Float32); |
| 661 | const armnn::TensorInfo outputInfo({ 1, 3, 3, 3 }, armnn::DataType::Float32); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 662 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 663 | const armnn::TensorInfo weightsInfo({ 1, 3, 3, 3 }, armnn::DataType::Float32, 0.0f, 0, true); |
| 664 | const armnn::TensorInfo biasesInfo ({ 3 }, armnn::DataType::Float32, 0.0f, 0, true); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 665 | |
| 666 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 667 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 668 | |
| 669 | std::vector<int32_t> biasesData = GenerateRandomData<int32_t>(biasesInfo.GetNumElements()); |
| 670 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 671 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 672 | armnn::DepthwiseConvolution2dDescriptor descriptor; |
Aron Virginas-Tar | 5e1b0cf | 2019-06-21 14:20:11 +0100 | [diff] [blame] | 673 | descriptor.m_PadLeft = 1; |
| 674 | descriptor.m_PadRight = 1; |
| 675 | descriptor.m_PadTop = 1; |
| 676 | descriptor.m_PadBottom = 1; |
| 677 | descriptor.m_StrideX = 2; |
| 678 | descriptor.m_StrideY = 2; |
| 679 | descriptor.m_DilationX = 2; |
| 680 | descriptor.m_DilationY = 2; |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 681 | descriptor.m_BiasEnabled = true; |
| 682 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 683 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 684 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 685 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
Cathal Corbett | 0690265 | 2022-04-14 17:55:11 +0100 | [diff] [blame] | 686 | armnn::IConnectableLayer* const depthwiseConvLayer = network->AddDepthwiseConvolution2dLayer(descriptor, |
| 687 | layerName.c_str()); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 688 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 689 | |
| 690 | inputLayer->GetOutputSlot(0).Connect(depthwiseConvLayer->GetInputSlot(0)); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 691 | depthwiseConvLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 692 | |
| 693 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 694 | depthwiseConvLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 695 | |
Cathal Corbett | 0690265 | 2022-04-14 17:55:11 +0100 | [diff] [blame] | 696 | armnn::IConnectableLayer* const weightsLayer = network->AddConstantLayer(weights); |
| 697 | weightsLayer->GetOutputSlot(0).Connect(depthwiseConvLayer->GetInputSlot(1u)); |
| 698 | weightsLayer->GetOutputSlot(0).SetTensorInfo(weights.GetInfo()); |
| 699 | |
| 700 | armnn::IConnectableLayer* const biasLayer = network->AddConstantLayer(biases); |
| 701 | biasLayer->GetOutputSlot(0).Connect(depthwiseConvLayer->GetInputSlot(2u)); |
| 702 | biasLayer->GetOutputSlot(0).SetTensorInfo(biases.GetInfo()); |
| 703 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 704 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 705 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 706 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 707 | const std::vector<armnn::ConstTensor>& constants {weights, biases}; |
| 708 | LayerVerifierBaseWithDescriptorAndConstants<armnn::DepthwiseConvolution2dDescriptor> verifier( |
Cathal Corbett | 0690265 | 2022-04-14 17:55:11 +0100 | [diff] [blame] | 709 | layerName, {inputInfo, weightsInfo, biasesInfo}, {outputInfo}, descriptor, constants); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 710 | deserializedNetwork->ExecuteStrategy(verifier); |
Jim Flynn | 18ce338 | 2019-03-08 11:08:30 +0000 | [diff] [blame] | 711 | } |
| 712 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 713 | TEST_CASE("SerializeDepthwiseConvolution2dWithPerAxisParams") |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 714 | { |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 715 | using namespace armnn; |
| 716 | |
| 717 | const std::string layerName("depwiseConvolution2dWithPerAxis"); |
| 718 | const TensorInfo inputInfo ({ 1, 3, 3, 2 }, DataType::QAsymmU8, 0.55f, 128); |
| 719 | const TensorInfo outputInfo({ 1, 2, 2, 4 }, DataType::QAsymmU8, 0.75f, 128); |
| 720 | |
| 721 | const std::vector<float> quantScales{ 0.75f, 0.80f, 0.90f, 0.95f }; |
| 722 | const unsigned int quantDimension = 0; |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 723 | TensorInfo kernelInfo({ 2, 2, 2, 2 }, DataType::QSymmS8, quantScales, quantDimension, true); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 724 | |
| 725 | const std::vector<float> biasQuantScales{ 0.25f, 0.35f, 0.45f, 0.55f }; |
| 726 | constexpr unsigned int biasQuantDimension = 0; |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 727 | TensorInfo biasInfo({ 4 }, DataType::Signed32, biasQuantScales, biasQuantDimension, true); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 728 | |
| 729 | std::vector<int8_t> kernelData = GenerateRandomData<int8_t>(kernelInfo.GetNumElements()); |
| 730 | armnn::ConstTensor weights(kernelInfo, kernelData); |
| 731 | std::vector<int32_t> biasData = GenerateRandomData<int32_t>(biasInfo.GetNumElements()); |
| 732 | armnn::ConstTensor biases(biasInfo, biasData); |
| 733 | |
| 734 | DepthwiseConvolution2dDescriptor descriptor; |
| 735 | descriptor.m_StrideX = 1; |
| 736 | descriptor.m_StrideY = 1; |
| 737 | descriptor.m_PadLeft = 0; |
| 738 | descriptor.m_PadRight = 0; |
| 739 | descriptor.m_PadTop = 0; |
| 740 | descriptor.m_PadBottom = 0; |
| 741 | descriptor.m_DilationX = 1; |
| 742 | descriptor.m_DilationY = 1; |
| 743 | descriptor.m_BiasEnabled = true; |
| 744 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 745 | |
| 746 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 747 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
Cathal Corbett | 0690265 | 2022-04-14 17:55:11 +0100 | [diff] [blame] | 748 | armnn::IConnectableLayer* const depthwiseConvLayer = network->AddDepthwiseConvolution2dLayer(descriptor, |
| 749 | layerName.c_str()); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 750 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 751 | |
| 752 | inputLayer->GetOutputSlot(0).Connect(depthwiseConvLayer->GetInputSlot(0)); |
| 753 | depthwiseConvLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 754 | |
| 755 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 756 | depthwiseConvLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 757 | |
Cathal Corbett | 0690265 | 2022-04-14 17:55:11 +0100 | [diff] [blame] | 758 | armnn::IConnectableLayer* const weightsLayer = network->AddConstantLayer(weights); |
| 759 | weightsLayer->GetOutputSlot(0).Connect(depthwiseConvLayer->GetInputSlot(1u)); |
| 760 | weightsLayer->GetOutputSlot(0).SetTensorInfo(weights.GetInfo()); |
| 761 | |
| 762 | armnn::IConnectableLayer* const biasLayer = network->AddConstantLayer(biases); |
| 763 | biasLayer->GetOutputSlot(0).Connect(depthwiseConvLayer->GetInputSlot(2u)); |
| 764 | biasLayer->GetOutputSlot(0).SetTensorInfo(biases.GetInfo()); |
| 765 | |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 766 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 767 | CHECK(deserializedNetwork); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 768 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 769 | const std::vector<armnn::ConstTensor>& constants {weights, biases}; |
| 770 | LayerVerifierBaseWithDescriptorAndConstants<armnn::DepthwiseConvolution2dDescriptor> verifier( |
Cathal Corbett | 0690265 | 2022-04-14 17:55:11 +0100 | [diff] [blame] | 771 | layerName, {inputInfo, kernelInfo, biasInfo}, {outputInfo}, descriptor, constants); |
| 772 | deserializedNetwork->ExecuteStrategy(verifier); |
| 773 | } |
| 774 | |
| 775 | TEST_CASE("SerializeDepthwiseConvolution2dWeightsAndBiasesAsConstantLayers") |
| 776 | { |
| 777 | const std::string layerName("depthwiseConvolution2d"); |
| 778 | const armnn::TensorInfo inputInfo ({ 1, 5, 5, 1 }, armnn::DataType::Float32); |
| 779 | const armnn::TensorInfo outputInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
| 780 | |
| 781 | const armnn::TensorInfo weightsInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32, 0.0f, 0, true); |
| 782 | const armnn::TensorInfo biasesInfo ({ 1 }, armnn::DataType::Float32, 0.0f, 0, true); |
| 783 | |
| 784 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 785 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 786 | |
| 787 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 788 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 789 | |
| 790 | armnn::DepthwiseConvolution2dDescriptor descriptor; |
| 791 | descriptor.m_PadLeft = 1; |
| 792 | descriptor.m_PadRight = 1; |
| 793 | descriptor.m_PadTop = 1; |
| 794 | descriptor.m_PadBottom = 1; |
| 795 | descriptor.m_StrideX = 2; |
| 796 | descriptor.m_StrideY = 2; |
| 797 | descriptor.m_DilationX = 2; |
| 798 | descriptor.m_DilationY = 2; |
| 799 | descriptor.m_BiasEnabled = true; |
| 800 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 801 | |
| 802 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 803 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 804 | armnn::IConnectableLayer* const weightsLayer = network->AddConstantLayer(weights, "Weights"); |
| 805 | armnn::IConnectableLayer* const biasesLayer = network->AddConstantLayer(biases, "Biases"); |
| 806 | armnn::IConnectableLayer* const convLayer = network->AddDepthwiseConvolution2dLayer(descriptor, |
| 807 | layerName.c_str()); |
| 808 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 809 | |
| 810 | inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0)); |
| 811 | weightsLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(1)); |
| 812 | biasesLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(2)); |
| 813 | convLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 814 | |
| 815 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 816 | weightsLayer->GetOutputSlot(0).SetTensorInfo(weightsInfo); |
| 817 | biasesLayer->GetOutputSlot(0).SetTensorInfo(biasesInfo); |
| 818 | convLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 819 | |
| 820 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 821 | CHECK(deserializedNetwork); |
| 822 | |
| 823 | const std::vector<armnn::ConstTensor>& constants {weights, biases}; |
| 824 | LayerVerifierBaseWithDescriptorAndConstants<armnn::DepthwiseConvolution2dDescriptor> verifier( |
| 825 | layerName, {inputInfo, weightsInfo, biasesInfo}, {outputInfo}, descriptor, constants); |
| 826 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 827 | deserializedNetwork->ExecuteStrategy(verifier); |
Sadik Armagan | 1a84fe3 | 2020-03-27 15:56:57 +0000 | [diff] [blame] | 828 | } |
| 829 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 830 | TEST_CASE("SerializeDequantize") |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 831 | { |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 832 | const std::string layerName("dequantize"); |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 833 | 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] | 834 | const armnn::TensorInfo outputInfo({ 1, 5, 2, 3 }, armnn::DataType::Float32); |
| 835 | |
| 836 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 837 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 838 | armnn::IConnectableLayer* const dequantizeLayer = network->AddDequantizeLayer(layerName.c_str()); |
| 839 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 840 | |
| 841 | inputLayer->GetOutputSlot(0).Connect(dequantizeLayer->GetInputSlot(0)); |
| 842 | dequantizeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 843 | |
| 844 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 845 | dequantizeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 846 | |
| 847 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 848 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 849 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 850 | LayerVerifierBase verifier(layerName, {inputInfo}, {outputInfo}); |
| 851 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 852 | } |
| 853 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 854 | TEST_CASE("SerializeDeserializeDetectionPostProcess") |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 855 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 856 | const std::string layerName("detectionPostProcess"); |
| 857 | |
| 858 | const std::vector<armnn::TensorInfo> inputInfos({ |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 859 | armnn::TensorInfo({ 1, 6, 4 }, armnn::DataType::Float32), |
| 860 | armnn::TensorInfo({ 1, 6, 3}, armnn::DataType::Float32) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 861 | }); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 862 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 863 | const std::vector<armnn::TensorInfo> outputInfos({ |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 864 | armnn::TensorInfo({ 1, 3, 4 }, armnn::DataType::Float32), |
| 865 | armnn::TensorInfo({ 1, 3 }, armnn::DataType::Float32), |
| 866 | armnn::TensorInfo({ 1, 3 }, armnn::DataType::Float32), |
| 867 | armnn::TensorInfo({ 1 }, armnn::DataType::Float32) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 868 | }); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 869 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 870 | armnn::DetectionPostProcessDescriptor descriptor; |
| 871 | descriptor.m_UseRegularNms = true; |
| 872 | descriptor.m_MaxDetections = 3; |
| 873 | descriptor.m_MaxClassesPerDetection = 1; |
| 874 | descriptor.m_DetectionsPerClass =1; |
| 875 | descriptor.m_NmsScoreThreshold = 0.0; |
| 876 | descriptor.m_NmsIouThreshold = 0.5; |
| 877 | descriptor.m_NumClasses = 2; |
| 878 | descriptor.m_ScaleY = 10.0; |
| 879 | descriptor.m_ScaleX = 10.0; |
| 880 | descriptor.m_ScaleH = 5.0; |
| 881 | descriptor.m_ScaleW = 5.0; |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 882 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 883 | const armnn::TensorInfo anchorsInfo({ 6, 4 }, armnn::DataType::Float32, 0.0f, 0, true); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 884 | const std::vector<float> anchorsData({ |
| 885 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 886 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 887 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 888 | 0.5f, 10.5f, 1.0f, 1.0f, |
| 889 | 0.5f, 10.5f, 1.0f, 1.0f, |
| 890 | 0.5f, 100.5f, 1.0f, 1.0f |
| 891 | }); |
| 892 | armnn::ConstTensor anchors(anchorsInfo, anchorsData); |
| 893 | |
| 894 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 895 | armnn::IConnectableLayer* const detectionLayer = |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 896 | network->AddDetectionPostProcessLayer(descriptor, anchors, layerName.c_str()); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 897 | |
| 898 | for (unsigned int i = 0; i < 2; i++) |
| 899 | { |
| 900 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(static_cast<int>(i)); |
| 901 | inputLayer->GetOutputSlot(0).Connect(detectionLayer->GetInputSlot(i)); |
| 902 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfos[i]); |
| 903 | } |
| 904 | |
| 905 | for (unsigned int i = 0; i < 4; i++) |
| 906 | { |
| 907 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(static_cast<int>(i)); |
| 908 | detectionLayer->GetOutputSlot(i).Connect(outputLayer->GetInputSlot(0)); |
| 909 | detectionLayer->GetOutputSlot(i).SetTensorInfo(outputInfos[i]); |
| 910 | } |
| 911 | |
| 912 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 913 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 914 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 915 | const std::vector<armnn::ConstTensor>& constants {anchors}; |
| 916 | LayerVerifierBaseWithDescriptorAndConstants<armnn::DetectionPostProcessDescriptor> verifier( |
| 917 | layerName, inputInfos, outputInfos, descriptor, constants); |
| 918 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 919 | } |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 920 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 921 | TEST_CASE("SerializeDivision") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 922 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 923 | const std::string layerName("division"); |
| 924 | const armnn::TensorInfo info({ 1, 5, 2, 3 }, armnn::DataType::Float32); |
| 925 | |
| 926 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 927 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 928 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 929 | armnn::IConnectableLayer* const divisionLayer = network->AddDivisionLayer(layerName.c_str()); |
| 930 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 931 | |
| 932 | inputLayer0->GetOutputSlot(0).Connect(divisionLayer->GetInputSlot(0)); |
| 933 | inputLayer1->GetOutputSlot(0).Connect(divisionLayer->GetInputSlot(1)); |
| 934 | divisionLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 935 | |
| 936 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 937 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 938 | divisionLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 939 | |
| 940 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 941 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 942 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 943 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 944 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 945 | } |
| 946 | |
Jan Eilers | 1b2654f | 2021-09-24 15:45:46 +0100 | [diff] [blame] | 947 | TEST_CASE("SerializeDeserializeComparisonEqual") |
Aron Virginas-Tar | 6d2e659 | 2019-10-22 11:44:47 +0100 | [diff] [blame] | 948 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 949 | const std::string layerName("EqualLayer"); |
| 950 | const armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({2, 1, 2, 4}, armnn::DataType::Float32); |
| 951 | const armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({2, 1, 2, 4}, armnn::DataType::Float32); |
| 952 | 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] | 953 | |
| 954 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 955 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(0); |
| 956 | armnn::IConnectableLayer* const inputLayer2 = network->AddInputLayer(1); |
Jan Eilers | 1b2654f | 2021-09-24 15:45:46 +0100 | [diff] [blame] | 957 | armnn::ComparisonDescriptor equalDescriptor(armnn::ComparisonOperation::Equal); |
| 958 | armnn::IConnectableLayer* const equalLayer = network->AddComparisonLayer(equalDescriptor, layerName.c_str()); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 959 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 960 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 961 | inputLayer1->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(0)); |
| 962 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputTensorInfo1); |
| 963 | inputLayer2->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(1)); |
| 964 | inputLayer2->GetOutputSlot(0).SetTensorInfo(inputTensorInfo2); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 965 | equalLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 966 | equalLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 967 | |
| 968 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 969 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 970 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 971 | LayerVerifierBase verifier(layerName, {inputTensorInfo1, inputTensorInfo2}, {outputTensorInfo}); |
| 972 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | 6d2e659 | 2019-10-22 11:44:47 +0100 | [diff] [blame] | 973 | } |
| 974 | |
Teresa Charlin | 50de4fa | 2021-05-31 18:47:33 +0100 | [diff] [blame] | 975 | void SerializeElementwiseUnaryTest(armnn::UnaryOperation unaryOperation) |
| 976 | { |
| 977 | auto layerName = GetUnaryOperationAsCString(unaryOperation); |
| 978 | |
| 979 | const armnn::TensorShape shape{2, 1, 2, 2}; |
| 980 | |
| 981 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Float32); |
| 982 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Float32); |
| 983 | |
| 984 | armnn::ElementwiseUnaryDescriptor descriptor(unaryOperation); |
| 985 | |
| 986 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 987 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 988 | armnn::IConnectableLayer* const elementwiseUnaryLayer = |
| 989 | network->AddElementwiseUnaryLayer(descriptor, layerName); |
| 990 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 991 | |
| 992 | inputLayer->GetOutputSlot(0).Connect(elementwiseUnaryLayer->GetInputSlot(0)); |
| 993 | elementwiseUnaryLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 994 | |
| 995 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 996 | elementwiseUnaryLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 997 | |
| 998 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 999 | |
| 1000 | CHECK(deserializedNetwork); |
| 1001 | |
| 1002 | LayerVerifierBaseWithDescriptor<armnn::ElementwiseUnaryDescriptor> |
| 1003 | verifier(layerName, { inputInfo }, { outputInfo }, descriptor); |
| 1004 | |
| 1005 | deserializedNetwork->ExecuteStrategy(verifier); |
| 1006 | } |
| 1007 | |
| 1008 | TEST_CASE("SerializeElementwiseUnary") |
| 1009 | { |
| 1010 | using op = armnn::UnaryOperation; |
| 1011 | std::initializer_list<op> allUnaryOperations = {op::Abs, op::Exp, op::Sqrt, op::Rsqrt, op::Neg, |
| 1012 | op::LogicalNot, op::Log, op::Sin}; |
| 1013 | |
| 1014 | for (auto unaryOperation : allUnaryOperations) |
| 1015 | { |
| 1016 | SerializeElementwiseUnaryTest(unaryOperation); |
| 1017 | } |
| 1018 | } |
| 1019 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1020 | TEST_CASE("SerializeFill") |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 1021 | { |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 1022 | const std::string layerName("fill"); |
Teresa Charlin | 4b10fef | 2020-07-29 09:36:41 +0100 | [diff] [blame] | 1023 | const armnn::TensorInfo inputInfo({4}, armnn::DataType::Signed32); |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 1024 | const armnn::TensorInfo outputInfo({1, 3, 3, 1}, armnn::DataType::Float32); |
| 1025 | |
| 1026 | armnn::FillDescriptor descriptor(1.0f); |
| 1027 | |
| 1028 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1029 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1030 | armnn::IConnectableLayer* const fillLayer = network->AddFillLayer(descriptor, layerName.c_str()); |
| 1031 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1032 | |
| 1033 | inputLayer->GetOutputSlot(0).Connect(fillLayer->GetInputSlot(0)); |
| 1034 | fillLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1035 | |
| 1036 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1037 | fillLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1038 | |
| 1039 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1040 | CHECK(deserializedNetwork); |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 1041 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1042 | LayerVerifierBaseWithDescriptor<armnn::FillDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, descriptor); |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 1043 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1044 | deserializedNetwork->ExecuteStrategy(verifier); |
Keith Davis | 300ad56 | 2020-06-04 16:34:23 +0100 | [diff] [blame] | 1045 | } |
| 1046 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1047 | TEST_CASE("SerializeFloor") |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1048 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1049 | const std::string layerName("floor"); |
| 1050 | const armnn::TensorInfo info({4,4}, armnn::DataType::Float32); |
| 1051 | |
| 1052 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1053 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1054 | armnn::IConnectableLayer* const floorLayer = network->AddFloorLayer(layerName.c_str()); |
| 1055 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1056 | |
| 1057 | inputLayer->GetOutputSlot(0).Connect(floorLayer->GetInputSlot(0)); |
| 1058 | floorLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1059 | |
| 1060 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1061 | floorLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1062 | |
| 1063 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1064 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1065 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1066 | LayerVerifierBase verifier(layerName, {info}, {info}); |
| 1067 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1068 | } |
| 1069 | |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 1070 | using FullyConnectedDescriptor = armnn::FullyConnectedDescriptor; |
| 1071 | class FullyConnectedLayerVerifier : public LayerVerifierBaseWithDescriptor<FullyConnectedDescriptor> |
| 1072 | { |
| 1073 | public: |
| 1074 | FullyConnectedLayerVerifier(const std::string& layerName, |
| 1075 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 1076 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 1077 | const FullyConnectedDescriptor& descriptor) |
| 1078 | : LayerVerifierBaseWithDescriptor<FullyConnectedDescriptor>(layerName, inputInfos, outputInfos, descriptor) {} |
| 1079 | |
| 1080 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 1081 | const armnn::BaseDescriptor& descriptor, |
| 1082 | const std::vector<armnn::ConstTensor>& constants, |
| 1083 | const char* name, |
| 1084 | const armnn::LayerBindingId id = 0) override |
| 1085 | { |
| 1086 | armnn::IgnoreUnused(constants, id); |
| 1087 | switch (layer->GetType()) |
| 1088 | { |
| 1089 | case armnn::LayerType::Input: break; |
| 1090 | case armnn::LayerType::Output: break; |
| 1091 | case armnn::LayerType::Constant: break; |
| 1092 | default: |
| 1093 | { |
| 1094 | VerifyNameAndConnections(layer, name); |
| 1095 | const FullyConnectedDescriptor& layerDescriptor = |
| 1096 | static_cast<const FullyConnectedDescriptor&>(descriptor); |
| 1097 | CHECK(layerDescriptor.m_ConstantWeights == m_Descriptor.m_ConstantWeights); |
| 1098 | CHECK(layerDescriptor.m_BiasEnabled == m_Descriptor.m_BiasEnabled); |
| 1099 | CHECK(layerDescriptor.m_TransposeWeightMatrix == m_Descriptor.m_TransposeWeightMatrix); |
| 1100 | } |
| 1101 | } |
| 1102 | } |
| 1103 | }; |
| 1104 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1105 | TEST_CASE("SerializeFullyConnected") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1106 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1107 | const std::string layerName("fullyConnected"); |
| 1108 | const armnn::TensorInfo inputInfo ({ 2, 5, 1, 1 }, armnn::DataType::Float32); |
| 1109 | const armnn::TensorInfo outputInfo({ 2, 3 }, armnn::DataType::Float32); |
| 1110 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 1111 | const armnn::TensorInfo weightsInfo({ 5, 3 }, armnn::DataType::Float32, 0.0f, 0, true); |
| 1112 | const armnn::TensorInfo biasesInfo ({ 3 }, armnn::DataType::Float32, 0.0f, 0, true); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1113 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 1114 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 1115 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 1116 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 1117 | |
| 1118 | armnn::FullyConnectedDescriptor descriptor; |
| 1119 | descriptor.m_BiasEnabled = true; |
| 1120 | descriptor.m_TransposeWeightMatrix = false; |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 1121 | descriptor.m_ConstantWeights = true; |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1122 | |
| 1123 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1124 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
Francis Murtagh | bb6c649 | 2022-02-09 15:13:38 +0000 | [diff] [blame] | 1125 | armnn::IConnectableLayer* const weightsInputLayer = network->AddInputLayer(1); |
| 1126 | armnn::IConnectableLayer* const biasInputLayer = network->AddInputLayer(2); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1127 | armnn::IConnectableLayer* const fullyConnectedLayer = |
Francis Murtagh | bb6c649 | 2022-02-09 15:13:38 +0000 | [diff] [blame] | 1128 | network->AddFullyConnectedLayer(descriptor, |
| 1129 | layerName.c_str()); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1130 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1131 | |
| 1132 | inputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(0)); |
Francis Murtagh | bb6c649 | 2022-02-09 15:13:38 +0000 | [diff] [blame] | 1133 | weightsInputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(1)); |
| 1134 | biasInputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(2)); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1135 | fullyConnectedLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1136 | |
| 1137 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
Francis Murtagh | bb6c649 | 2022-02-09 15:13:38 +0000 | [diff] [blame] | 1138 | weightsInputLayer->GetOutputSlot(0).SetTensorInfo(weightsInfo); |
| 1139 | biasInputLayer->GetOutputSlot(0).SetTensorInfo(biasesInfo); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1140 | fullyConnectedLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1141 | |
| 1142 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1143 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1144 | |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 1145 | FullyConnectedLayerVerifier verifier(layerName, {inputInfo, weightsInfo, biasesInfo}, {outputInfo}, descriptor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1146 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1147 | } |
| 1148 | |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 1149 | TEST_CASE("SerializeFullyConnectedWeightsAndBiasesAsInputs") |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 1150 | { |
| 1151 | const std::string layerName("fullyConnected_weights_as_inputs"); |
| 1152 | const armnn::TensorInfo inputInfo ({ 2, 5, 1, 1 }, armnn::DataType::Float32); |
| 1153 | const armnn::TensorInfo outputInfo({ 2, 3 }, armnn::DataType::Float32); |
| 1154 | |
| 1155 | const armnn::TensorInfo weightsInfo({ 5, 3 }, armnn::DataType::Float32); |
| 1156 | const armnn::TensorInfo biasesInfo ({ 3 }, armnn::DataType::Float32); |
| 1157 | |
| 1158 | armnn::Optional<armnn::ConstTensor> weights = armnn::EmptyOptional(); |
| 1159 | armnn::Optional<armnn::ConstTensor> bias = armnn::EmptyOptional(); |
| 1160 | |
| 1161 | armnn::FullyConnectedDescriptor descriptor; |
| 1162 | descriptor.m_BiasEnabled = true; |
| 1163 | descriptor.m_TransposeWeightMatrix = false; |
| 1164 | descriptor.m_ConstantWeights = false; |
| 1165 | |
| 1166 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1167 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1168 | armnn::IConnectableLayer* const weightsInputLayer = network->AddInputLayer(1); |
| 1169 | armnn::IConnectableLayer* const biasInputLayer = network->AddInputLayer(2); |
| 1170 | armnn::IConnectableLayer* const fullyConnectedLayer = |
| 1171 | network->AddFullyConnectedLayer(descriptor, |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 1172 | layerName.c_str()); |
| 1173 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1174 | |
| 1175 | inputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(0)); |
| 1176 | weightsInputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(1)); |
| 1177 | biasInputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(2)); |
| 1178 | fullyConnectedLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1179 | |
| 1180 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1181 | weightsInputLayer->GetOutputSlot(0).SetTensorInfo(weightsInfo); |
| 1182 | biasInputLayer->GetOutputSlot(0).SetTensorInfo(biasesInfo); |
| 1183 | fullyConnectedLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1184 | |
| 1185 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1186 | CHECK(deserializedNetwork); |
Sadik Armagan | f0a6dec | 2021-03-25 07:46:55 +0000 | [diff] [blame] | 1187 | |
| 1188 | const std::vector<armnn::ConstTensor> constants {}; |
| 1189 | LayerVerifierBaseWithDescriptorAndConstants<armnn::FullyConnectedDescriptor> verifier( |
| 1190 | layerName, {inputInfo, weightsInfo, biasesInfo}, {outputInfo}, descriptor, constants); |
| 1191 | deserializedNetwork->ExecuteStrategy(verifier); |
| 1192 | } |
| 1193 | |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 1194 | TEST_CASE("SerializeFullyConnectedWeightsAndBiasesAsConstantLayers") |
| 1195 | { |
| 1196 | const std::string layerName("fullyConnected_weights_as_inputs"); |
| 1197 | const armnn::TensorInfo inputInfo ({ 2, 5, 1, 1 }, armnn::DataType::Float32); |
| 1198 | const armnn::TensorInfo outputInfo({ 2, 3 }, armnn::DataType::Float32); |
| 1199 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 1200 | const armnn::TensorInfo weightsInfo({ 5, 3 }, armnn::DataType::Float32, 0.0f, 0, true); |
| 1201 | const armnn::TensorInfo biasesInfo ({ 3 }, armnn::DataType::Float32, 0.0f, 0, true); |
Matthew Sloyan | 81beae3 | 2021-07-13 19:46:11 +0100 | [diff] [blame] | 1202 | |
| 1203 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 1204 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 1205 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 1206 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 1207 | |
| 1208 | armnn::FullyConnectedDescriptor descriptor; |
| 1209 | descriptor.m_BiasEnabled = true; |
| 1210 | descriptor.m_TransposeWeightMatrix = false; |
| 1211 | descriptor.m_ConstantWeights = true; |
| 1212 | |
| 1213 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1214 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1215 | armnn::IConnectableLayer* const weightsLayer = network->AddConstantLayer(weights, "Weights"); |
| 1216 | armnn::IConnectableLayer* const biasesLayer = network->AddConstantLayer(biases, "Biases"); |
| 1217 | armnn::IConnectableLayer* const fullyConnectedLayer = network->AddFullyConnectedLayer(descriptor,layerName.c_str()); |
| 1218 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1219 | |
| 1220 | inputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(0)); |
| 1221 | weightsLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(1)); |
| 1222 | biasesLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(2)); |
| 1223 | fullyConnectedLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1224 | |
| 1225 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1226 | weightsLayer->GetOutputSlot(0).SetTensorInfo(weightsInfo); |
| 1227 | biasesLayer->GetOutputSlot(0).SetTensorInfo(biasesInfo); |
| 1228 | fullyConnectedLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1229 | |
| 1230 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1231 | CHECK(deserializedNetwork); |
| 1232 | |
| 1233 | FullyConnectedLayerVerifier verifier(layerName, {inputInfo, weightsInfo, biasesInfo}, {outputInfo}, descriptor); |
| 1234 | deserializedNetwork->ExecuteStrategy(verifier); |
| 1235 | } |
| 1236 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1237 | TEST_CASE("SerializeGather") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1238 | { |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 1239 | using GatherDescriptor = armnn::GatherDescriptor; |
| 1240 | class GatherLayerVerifier : public LayerVerifierBaseWithDescriptor<GatherDescriptor> |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1241 | { |
| 1242 | public: |
| 1243 | GatherLayerVerifier(const std::string& layerName, |
| 1244 | const std::vector<armnn::TensorInfo>& inputInfos, |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 1245 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 1246 | const GatherDescriptor& descriptor) |
| 1247 | : LayerVerifierBaseWithDescriptor<GatherDescriptor>(layerName, inputInfos, outputInfos, descriptor) {} |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1248 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1249 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 1250 | const armnn::BaseDescriptor& descriptor, |
| 1251 | const std::vector<armnn::ConstTensor>& constants, |
| 1252 | const char* name, |
| 1253 | const armnn::LayerBindingId id = 0) override |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1254 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1255 | armnn::IgnoreUnused(constants, id); |
| 1256 | switch (layer->GetType()) |
| 1257 | { |
| 1258 | case armnn::LayerType::Input: break; |
| 1259 | case armnn::LayerType::Output: break; |
| 1260 | case armnn::LayerType::Constant: break; |
| 1261 | default: |
| 1262 | { |
| 1263 | VerifyNameAndConnections(layer, name); |
| 1264 | const GatherDescriptor& layerDescriptor = static_cast<const GatherDescriptor&>(descriptor); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1265 | CHECK(layerDescriptor.m_Axis == m_Descriptor.m_Axis); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1266 | } |
| 1267 | } |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1268 | } |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1269 | }; |
| 1270 | |
| 1271 | const std::string layerName("gather"); |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1272 | armnn::TensorInfo paramsInfo({ 8 }, armnn::DataType::QAsymmU8); |
| 1273 | armnn::TensorInfo outputInfo({ 3 }, armnn::DataType::QAsymmU8); |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 1274 | const armnn::TensorInfo indicesInfo({ 3 }, armnn::DataType::Signed32, 0.0f, 0, true); |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 1275 | GatherDescriptor descriptor; |
| 1276 | descriptor.m_Axis = 1; |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1277 | |
| 1278 | paramsInfo.SetQuantizationScale(1.0f); |
| 1279 | paramsInfo.SetQuantizationOffset(0); |
| 1280 | outputInfo.SetQuantizationScale(1.0f); |
| 1281 | outputInfo.SetQuantizationOffset(0); |
| 1282 | |
| 1283 | const std::vector<int32_t>& indicesData = {7, 6, 5}; |
| 1284 | |
| 1285 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1286 | armnn::IConnectableLayer *const inputLayer = network->AddInputLayer(0); |
| 1287 | armnn::IConnectableLayer *const constantLayer = |
| 1288 | network->AddConstantLayer(armnn::ConstTensor(indicesInfo, indicesData)); |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 1289 | armnn::IConnectableLayer *const gatherLayer = network->AddGatherLayer(descriptor, layerName.c_str()); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1290 | armnn::IConnectableLayer *const outputLayer = network->AddOutputLayer(0); |
| 1291 | |
| 1292 | inputLayer->GetOutputSlot(0).Connect(gatherLayer->GetInputSlot(0)); |
| 1293 | constantLayer->GetOutputSlot(0).Connect(gatherLayer->GetInputSlot(1)); |
| 1294 | gatherLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1295 | |
| 1296 | inputLayer->GetOutputSlot(0).SetTensorInfo(paramsInfo); |
| 1297 | constantLayer->GetOutputSlot(0).SetTensorInfo(indicesInfo); |
| 1298 | gatherLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1299 | |
| 1300 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1301 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1302 | |
Teresa Charlin | 5266473 | 2020-06-29 16:27:03 +0100 | [diff] [blame] | 1303 | GatherLayerVerifier verifier(layerName, {paramsInfo, indicesInfo}, {outputInfo}, descriptor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1304 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1305 | } |
| 1306 | |
Teresa Charlin | 6966bfa | 2022-04-25 17:14:50 +0100 | [diff] [blame] | 1307 | TEST_CASE("SerializeGatherNd") |
| 1308 | { |
| 1309 | class GatherNdLayerVerifier : public LayerVerifierBase |
| 1310 | { |
| 1311 | public: |
| 1312 | GatherNdLayerVerifier(const std::string& layerName, |
| 1313 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 1314 | const std::vector<armnn::TensorInfo>& outputInfos) |
| 1315 | : LayerVerifierBase(layerName, inputInfos, outputInfos) {} |
| 1316 | |
| 1317 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
Mike Kelly | 51b8c31 | 2022-05-24 11:34:02 +0100 | [diff] [blame] | 1318 | const armnn::BaseDescriptor&, |
Teresa Charlin | 6966bfa | 2022-04-25 17:14:50 +0100 | [diff] [blame] | 1319 | const std::vector<armnn::ConstTensor>& constants, |
| 1320 | const char* name, |
| 1321 | const armnn::LayerBindingId id = 0) override |
| 1322 | { |
| 1323 | armnn::IgnoreUnused(constants, id); |
| 1324 | switch (layer->GetType()) |
| 1325 | { |
| 1326 | case armnn::LayerType::Input: |
| 1327 | case armnn::LayerType::Output: |
| 1328 | case armnn::LayerType::Constant: |
| 1329 | break; |
| 1330 | default: |
| 1331 | { |
| 1332 | VerifyNameAndConnections(layer, name); |
| 1333 | } |
| 1334 | } |
| 1335 | } |
| 1336 | }; |
| 1337 | |
| 1338 | const std::string layerName("gatherNd"); |
| 1339 | armnn::TensorInfo paramsInfo({ 6, 3 }, armnn::DataType::QAsymmU8); |
| 1340 | armnn::TensorInfo outputInfo({ 3, 3 }, armnn::DataType::QAsymmU8); |
| 1341 | const armnn::TensorInfo indicesInfo({ 3, 1 }, armnn::DataType::Signed32, 0.0f, 0, true); |
| 1342 | |
| 1343 | paramsInfo.SetQuantizationScale(1.0f); |
| 1344 | paramsInfo.SetQuantizationOffset(0); |
| 1345 | outputInfo.SetQuantizationScale(1.0f); |
| 1346 | outputInfo.SetQuantizationOffset(0); |
| 1347 | |
| 1348 | const std::vector<int32_t>& indicesData = {5, 1, 0}; |
| 1349 | |
| 1350 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1351 | armnn::IConnectableLayer *const inputLayer = network->AddInputLayer(0); |
| 1352 | armnn::IConnectableLayer *const constantLayer = |
| 1353 | network->AddConstantLayer(armnn::ConstTensor(indicesInfo, indicesData)); |
| 1354 | armnn::IConnectableLayer *const gatherNdLayer = network->AddGatherNdLayer(layerName.c_str()); |
| 1355 | armnn::IConnectableLayer *const outputLayer = network->AddOutputLayer(0); |
| 1356 | |
| 1357 | inputLayer->GetOutputSlot(0).Connect(gatherNdLayer->GetInputSlot(0)); |
| 1358 | constantLayer->GetOutputSlot(0).Connect(gatherNdLayer->GetInputSlot(1)); |
| 1359 | gatherNdLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1360 | |
| 1361 | inputLayer->GetOutputSlot(0).SetTensorInfo(paramsInfo); |
| 1362 | constantLayer->GetOutputSlot(0).SetTensorInfo(indicesInfo); |
| 1363 | gatherNdLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1364 | |
| 1365 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1366 | CHECK(deserializedNetwork); |
| 1367 | |
| 1368 | GatherNdLayerVerifier verifier(layerName, {paramsInfo, indicesInfo}, {outputInfo}); |
| 1369 | deserializedNetwork->ExecuteStrategy(verifier); |
| 1370 | } |
Aron Virginas-Tar | 6d2e659 | 2019-10-22 11:44:47 +0100 | [diff] [blame] | 1371 | |
Jan Eilers | 1b2654f | 2021-09-24 15:45:46 +0100 | [diff] [blame] | 1372 | TEST_CASE("SerializeComparisonGreater") |
Aron Virginas-Tar | 781ced9 | 2019-10-03 11:15:39 +0100 | [diff] [blame] | 1373 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1374 | const std::string layerName("greater"); |
| 1375 | |
| 1376 | const armnn::TensorShape shape{2, 1, 2, 4}; |
| 1377 | |
| 1378 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Float32); |
| 1379 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Boolean); |
| 1380 | |
| 1381 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1382 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1383 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
Jan Eilers | 1b2654f | 2021-09-24 15:45:46 +0100 | [diff] [blame] | 1384 | armnn::ComparisonDescriptor greaterDescriptor(armnn::ComparisonOperation::Greater); |
| 1385 | armnn::IConnectableLayer* const equalLayer = network->AddComparisonLayer(greaterDescriptor, layerName.c_str()); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1386 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1387 | |
| 1388 | inputLayer0->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(0)); |
| 1389 | inputLayer1->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(1)); |
| 1390 | equalLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1391 | |
| 1392 | inputLayer0->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1393 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1394 | equalLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1395 | |
| 1396 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1397 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1398 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1399 | LayerVerifierBase verifier(layerName, { inputInfo, inputInfo }, { outputInfo }); |
| 1400 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1401 | } |
| 1402 | |
Aron Virginas-Tar | 6d2e659 | 2019-10-22 11:44:47 +0100 | [diff] [blame] | 1403 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1404 | TEST_CASE("SerializeInstanceNormalization") |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1405 | { |
Aron Virginas-Tar | 781ced9 | 2019-10-03 11:15:39 +0100 | [diff] [blame] | 1406 | const std::string layerName("instanceNormalization"); |
| 1407 | const armnn::TensorInfo info({ 1, 2, 1, 5 }, armnn::DataType::Float32); |
| 1408 | |
| 1409 | armnn::InstanceNormalizationDescriptor descriptor; |
| 1410 | descriptor.m_Gamma = 1.1f; |
| 1411 | descriptor.m_Beta = 0.1f; |
| 1412 | descriptor.m_Eps = 0.0001f; |
| 1413 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 1414 | |
| 1415 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1416 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1417 | armnn::IConnectableLayer* const instanceNormLayer = |
| 1418 | network->AddInstanceNormalizationLayer(descriptor, layerName.c_str()); |
| 1419 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1420 | |
| 1421 | inputLayer->GetOutputSlot(0).Connect(instanceNormLayer->GetInputSlot(0)); |
| 1422 | instanceNormLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1423 | |
| 1424 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1425 | instanceNormLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1426 | |
| 1427 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1428 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | 781ced9 | 2019-10-03 11:15:39 +0100 | [diff] [blame] | 1429 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1430 | LayerVerifierBaseWithDescriptor<armnn::InstanceNormalizationDescriptor> verifier( |
| 1431 | layerName, {info}, {info}, descriptor); |
| 1432 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | 781ced9 | 2019-10-03 11:15:39 +0100 | [diff] [blame] | 1433 | } |
| 1434 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1435 | TEST_CASE("SerializeL2Normalization") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1436 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1437 | const std::string l2NormLayerName("l2Normalization"); |
| 1438 | const armnn::TensorInfo info({1, 2, 1, 5}, armnn::DataType::Float32); |
| 1439 | |
| 1440 | armnn::L2NormalizationDescriptor desc; |
| 1441 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1442 | desc.m_Eps = 0.0001f; |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1443 | |
| 1444 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1445 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1446 | armnn::IConnectableLayer* const l2NormLayer = network->AddL2NormalizationLayer(desc, l2NormLayerName.c_str()); |
| 1447 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1448 | |
| 1449 | inputLayer0->GetOutputSlot(0).Connect(l2NormLayer->GetInputSlot(0)); |
| 1450 | l2NormLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1451 | |
| 1452 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1453 | l2NormLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1454 | |
| 1455 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1456 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1457 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1458 | LayerVerifierBaseWithDescriptor<armnn::L2NormalizationDescriptor> verifier( |
| 1459 | l2NormLayerName, {info}, {info}, desc); |
| 1460 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1461 | } |
| 1462 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1463 | TEST_CASE("EnsureL2NormalizationBackwardCompatibility") |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1464 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1465 | // 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] | 1466 | // a L2Normalization layer and an output layer with dimensions as per the tensor infos below. |
| 1467 | // |
| 1468 | // This test verifies that we can still read back these old style |
| 1469 | // models without the normalization epsilon value. |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1470 | const std::vector<uint8_t> l2NormalizationModel = |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1471 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1472 | 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, |
| 1473 | 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 1474 | 0x3C, 0x01, 0x00, 0x00, 0x74, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1475 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0xE8, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, |
| 1476 | 0x04, 0x00, 0x00, 0x00, 0xD6, 0xFE, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, |
| 1477 | 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x9E, 0xFF, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, |
| 1478 | 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1479 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1480 | 0x4C, 0xFF, 0xFF, 0xFF, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x44, 0xFF, 0xFF, 0xFF, 0x00, 0x00, |
| 1481 | 0x00, 0x20, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 1482 | 0x20, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1483 | 0x0E, 0x00, 0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x14, 0x00, 0x0E, 0x00, 0x00, 0x00, |
| 1484 | 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x1F, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x20, 0x00, |
| 1485 | 0x00, 0x00, 0x0F, 0x00, 0x00, 0x00, 0x6C, 0x32, 0x4E, 0x6F, 0x72, 0x6D, 0x61, 0x6C, 0x69, 0x7A, 0x61, 0x74, |
| 1486 | 0x69, 0x6F, 0x6E, 0x00, 0x01, 0x00, 0x00, 0x00, 0x48, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, |
| 1487 | 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 1488 | 0x52, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 1489 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x05, 0x00, 0x00, 0x00, |
| 1490 | 0x08, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1491 | 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, |
| 1492 | 0x04, 0x00, 0x00, 0x00, 0xF6, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x0A, 0x00, |
| 1493 | 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x14, 0x00, 0x00, 0x00, |
| 1494 | 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x0E, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, |
| 1495 | 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1496 | 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0A, 0x00, 0x00, 0x00, |
| 1497 | 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x08, 0x00, |
| 1498 | 0x07, 0x00, 0x0C, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1499 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, |
| 1500 | 0x05, 0x00, 0x00, 0x00, 0x00 |
| 1501 | }; |
| 1502 | |
| 1503 | armnn::INetworkPtr deserializedNetwork = |
| 1504 | DeserializeNetwork(std::string(l2NormalizationModel.begin(), l2NormalizationModel.end())); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1505 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1506 | |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1507 | const std::string layerName("l2Normalization"); |
| 1508 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({1, 2, 1, 5}, armnn::DataType::Float32); |
| 1509 | |
| 1510 | armnn::L2NormalizationDescriptor desc; |
| 1511 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1512 | // 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] | 1513 | desc.m_Eps = 1e-12f; |
| 1514 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1515 | LayerVerifierBaseWithDescriptor<armnn::L2NormalizationDescriptor> verifier( |
| 1516 | layerName, {inputInfo}, {inputInfo}, desc); |
| 1517 | deserializedNetwork->ExecuteStrategy(verifier); |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1518 | } |
| 1519 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1520 | TEST_CASE("SerializeLogicalBinary") |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 1521 | { |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 1522 | const std::string layerName("logicalBinaryAnd"); |
| 1523 | |
| 1524 | const armnn::TensorShape shape{2, 1, 2, 2}; |
| 1525 | |
| 1526 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Boolean); |
| 1527 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Boolean); |
| 1528 | |
| 1529 | armnn::LogicalBinaryDescriptor descriptor(armnn::LogicalBinaryOperation::LogicalAnd); |
| 1530 | |
| 1531 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1532 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1533 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1534 | armnn::IConnectableLayer* const logicalBinaryLayer = network->AddLogicalBinaryLayer(descriptor, layerName.c_str()); |
| 1535 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1536 | |
| 1537 | inputLayer0->GetOutputSlot(0).Connect(logicalBinaryLayer->GetInputSlot(0)); |
| 1538 | inputLayer1->GetOutputSlot(0).Connect(logicalBinaryLayer->GetInputSlot(1)); |
| 1539 | logicalBinaryLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1540 | |
| 1541 | inputLayer0->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1542 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1543 | logicalBinaryLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1544 | |
| 1545 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1546 | CHECK(deserializedNetwork); |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 1547 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1548 | LayerVerifierBaseWithDescriptor<armnn::LogicalBinaryDescriptor> verifier( |
| 1549 | layerName, { inputInfo, inputInfo }, { outputInfo }, descriptor); |
| 1550 | deserializedNetwork->ExecuteStrategy(verifier); |
James Conroy | aba90cd | 2020-11-06 16:28:18 +0000 | [diff] [blame] | 1551 | } |
| 1552 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1553 | TEST_CASE("SerializeLogSoftmax") |
Sadik Armagan | 2625785 | 2019-10-14 13:00:47 +0100 | [diff] [blame] | 1554 | { |
Sadik Armagan | 2625785 | 2019-10-14 13:00:47 +0100 | [diff] [blame] | 1555 | const std::string layerName("log_softmax"); |
| 1556 | const armnn::TensorInfo info({1, 10}, armnn::DataType::Float32); |
| 1557 | |
| 1558 | armnn::LogSoftmaxDescriptor descriptor; |
| 1559 | descriptor.m_Beta = 1.0f; |
| 1560 | descriptor.m_Axis = -1; |
| 1561 | |
| 1562 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1563 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1564 | armnn::IConnectableLayer* const logSoftmaxLayer = network->AddLogSoftmaxLayer(descriptor, layerName.c_str()); |
| 1565 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1566 | |
| 1567 | inputLayer->GetOutputSlot(0).Connect(logSoftmaxLayer->GetInputSlot(0)); |
| 1568 | logSoftmaxLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1569 | |
| 1570 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1571 | logSoftmaxLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1572 | |
| 1573 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1574 | CHECK(deserializedNetwork); |
Sadik Armagan | 2625785 | 2019-10-14 13:00:47 +0100 | [diff] [blame] | 1575 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1576 | LayerVerifierBaseWithDescriptor<armnn::LogSoftmaxDescriptor> verifier(layerName, {info}, {info}, descriptor); |
| 1577 | deserializedNetwork->ExecuteStrategy(verifier); |
Sadik Armagan | 2625785 | 2019-10-14 13:00:47 +0100 | [diff] [blame] | 1578 | } |
| 1579 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1580 | TEST_CASE("SerializeMaximum") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1581 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1582 | const std::string layerName("maximum"); |
| 1583 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 1584 | |
| 1585 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1586 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1587 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1588 | armnn::IConnectableLayer* const maximumLayer = network->AddMaximumLayer(layerName.c_str()); |
| 1589 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1590 | |
| 1591 | inputLayer0->GetOutputSlot(0).Connect(maximumLayer->GetInputSlot(0)); |
| 1592 | inputLayer1->GetOutputSlot(0).Connect(maximumLayer->GetInputSlot(1)); |
| 1593 | maximumLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1594 | |
| 1595 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1596 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 1597 | maximumLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1598 | |
| 1599 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1600 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1601 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1602 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 1603 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1604 | } |
| 1605 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1606 | TEST_CASE("SerializeMean") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1607 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1608 | const std::string layerName("mean"); |
| 1609 | const armnn::TensorInfo inputInfo({1, 1, 3, 2}, armnn::DataType::Float32); |
| 1610 | const armnn::TensorInfo outputInfo({1, 1, 1, 2}, armnn::DataType::Float32); |
| 1611 | |
| 1612 | armnn::MeanDescriptor descriptor; |
| 1613 | descriptor.m_Axis = { 2 }; |
| 1614 | descriptor.m_KeepDims = true; |
| 1615 | |
| 1616 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1617 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1618 | armnn::IConnectableLayer* const meanLayer = network->AddMeanLayer(descriptor, layerName.c_str()); |
| 1619 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1620 | |
| 1621 | inputLayer->GetOutputSlot(0).Connect(meanLayer->GetInputSlot(0)); |
| 1622 | meanLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1623 | |
| 1624 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1625 | meanLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1626 | |
| 1627 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1628 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1629 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1630 | LayerVerifierBaseWithDescriptor<armnn::MeanDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, descriptor); |
| 1631 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1632 | } |
| 1633 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1634 | TEST_CASE("SerializeMerge") |
Nattapat Chaimanowong | 1f88630 | 2019-04-05 13:37:19 +0100 | [diff] [blame] | 1635 | { |
Nattapat Chaimanowong | 1f88630 | 2019-04-05 13:37:19 +0100 | [diff] [blame] | 1636 | const std::string layerName("merge"); |
| 1637 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 1638 | |
| 1639 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1640 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1641 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1642 | armnn::IConnectableLayer* const mergeLayer = network->AddMergeLayer(layerName.c_str()); |
| 1643 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1644 | |
| 1645 | inputLayer0->GetOutputSlot(0).Connect(mergeLayer->GetInputSlot(0)); |
| 1646 | inputLayer1->GetOutputSlot(0).Connect(mergeLayer->GetInputSlot(1)); |
| 1647 | mergeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1648 | |
| 1649 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1650 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 1651 | mergeLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1652 | |
| 1653 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1654 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 1f88630 | 2019-04-05 13:37:19 +0100 | [diff] [blame] | 1655 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1656 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 1657 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 1f88630 | 2019-04-05 13:37:19 +0100 | [diff] [blame] | 1658 | } |
| 1659 | |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1660 | class MergerLayerVerifier : public LayerVerifierBaseWithDescriptor<armnn::OriginsDescriptor> |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1661 | { |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1662 | public: |
| 1663 | MergerLayerVerifier(const std::string& layerName, |
| 1664 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 1665 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 1666 | const armnn::OriginsDescriptor& descriptor) |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1667 | : LayerVerifierBaseWithDescriptor<armnn::OriginsDescriptor>(layerName, inputInfos, outputInfos, descriptor) {} |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1668 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1669 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 1670 | const armnn::BaseDescriptor& descriptor, |
| 1671 | const std::vector<armnn::ConstTensor>& constants, |
| 1672 | const char* name, |
| 1673 | const armnn::LayerBindingId id = 0) override |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1674 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1675 | armnn::IgnoreUnused(descriptor, constants, id); |
| 1676 | switch (layer->GetType()) |
| 1677 | { |
| 1678 | case armnn::LayerType::Input: break; |
| 1679 | case armnn::LayerType::Output: break; |
| 1680 | case armnn::LayerType::Merge: |
| 1681 | { |
| 1682 | throw armnn::Exception("MergerLayer should have translated to ConcatLayer"); |
| 1683 | break; |
| 1684 | } |
| 1685 | case armnn::LayerType::Concat: |
| 1686 | { |
| 1687 | VerifyNameAndConnections(layer, name); |
| 1688 | const armnn::MergerDescriptor& layerDescriptor = |
| 1689 | static_cast<const armnn::MergerDescriptor&>(descriptor); |
| 1690 | VerifyDescriptor(layerDescriptor); |
| 1691 | break; |
| 1692 | } |
| 1693 | default: |
| 1694 | { |
| 1695 | throw armnn::Exception("Unexpected layer type in Merge test model"); |
| 1696 | } |
| 1697 | } |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1698 | } |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1699 | }; |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1700 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1701 | TEST_CASE("EnsureMergerLayerBackwardCompatibility") |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1702 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1703 | // 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] | 1704 | // a merger layer (now deprecated) and an output layer with dimensions as per the tensor infos below. |
| 1705 | // |
| 1706 | // This test verifies that we can still read back these old style |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1707 | // models replacing the MergerLayers with ConcatLayers with the same parameters. |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1708 | const std::vector<uint8_t> mergerModel = |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1709 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1710 | 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, |
| 1711 | 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 1712 | 0x38, 0x02, 0x00, 0x00, 0x8C, 0x01, 0x00, 0x00, 0x70, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1713 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 1714 | 0xF4, 0xFD, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, 0x04, 0x00, 0x00, 0x00, 0x92, 0xFE, 0xFF, 0xFF, 0x04, 0x00, |
| 1715 | 0x00, 0x00, 0x9A, 0xFE, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x7E, 0xFE, 0xFF, 0xFF, 0x03, 0x00, 0x00, 0x00, |
| 1716 | 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1717 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1718 | 0xF8, 0xFE, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x48, 0xFE, 0xFF, 0xFF, 0x00, 0x00, |
| 1719 | 0x00, 0x1F, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 1720 | 0x68, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, |
| 1721 | 0x0C, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 1722 | 0x02, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x22, 0xFF, 0xFF, 0xFF, 0x04, 0x00, |
| 1723 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1724 | 0x00, 0x00, 0x00, 0x00, 0x3E, 0xFF, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1725 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x36, 0xFF, 0xFF, 0xFF, |
| 1726 | 0x02, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x1E, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1C, 0x00, |
| 1727 | 0x00, 0x00, 0x06, 0x00, 0x00, 0x00, 0x6D, 0x65, 0x72, 0x67, 0x65, 0x72, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, |
| 1728 | 0x5C, 0x00, 0x00, 0x00, 0x40, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x34, 0xFF, |
| 1729 | 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x92, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, |
| 1730 | 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1731 | 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 1732 | 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x00, 0x00, |
| 1733 | 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0E, 0x00, |
| 1734 | 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1735 | 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0E, 0x00, |
| 1736 | 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1737 | 0x0E, 0x00, 0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x14, 0x00, 0x0E, 0x00, 0x00, 0x00, |
| 1738 | 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, |
| 1739 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, |
| 1740 | 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 1741 | 0x00, 0x00, 0x66, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1742 | 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1743 | 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, |
| 1744 | 0x04, 0x00, 0x00, 0x00, 0xF6, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x0A, 0x00, |
| 1745 | 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x14, 0x00, 0x00, 0x00, |
| 1746 | 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x0E, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, |
| 1747 | 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1748 | 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0A, 0x00, 0x00, 0x00, |
| 1749 | 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x08, 0x00, |
| 1750 | 0x07, 0x00, 0x0C, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1751 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, |
| 1752 | 0x02, 0x00, 0x00, 0x00 |
| 1753 | }; |
| 1754 | |
| 1755 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(std::string(mergerModel.begin(), mergerModel.end())); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1756 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1757 | |
| 1758 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({ 2, 3, 2, 2 }, armnn::DataType::Float32); |
| 1759 | 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] | 1760 | |
| 1761 | const std::vector<armnn::TensorShape> shapes({inputInfo.GetShape(), inputInfo.GetShape()}); |
| 1762 | |
| 1763 | armnn::OriginsDescriptor descriptor = |
Jim Flynn | 825af45 | 2019-05-20 12:49:28 +0100 | [diff] [blame] | 1764 | armnn::CreateDescriptorForConcatenation(shapes.begin(), shapes.end(), 0); |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1765 | |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1766 | MergerLayerVerifier verifier("merger", { inputInfo, inputInfo }, { outputInfo }, descriptor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1767 | deserializedNetwork->ExecuteStrategy(verifier); |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1768 | } |
| 1769 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1770 | TEST_CASE("SerializeConcat") |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1771 | { |
| 1772 | const std::string layerName("concat"); |
| 1773 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({2, 3, 2, 2}, armnn::DataType::Float32); |
| 1774 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({4, 3, 2, 2}, armnn::DataType::Float32); |
| 1775 | |
| 1776 | const std::vector<armnn::TensorShape> shapes({inputInfo.GetShape(), inputInfo.GetShape()}); |
| 1777 | |
| 1778 | armnn::OriginsDescriptor descriptor = |
| 1779 | armnn::CreateDescriptorForConcatenation(shapes.begin(), shapes.end(), 0); |
| 1780 | |
| 1781 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1782 | armnn::IConnectableLayer* const inputLayerOne = network->AddInputLayer(0); |
| 1783 | armnn::IConnectableLayer* const inputLayerTwo = network->AddInputLayer(1); |
| 1784 | armnn::IConnectableLayer* const concatLayer = network->AddConcatLayer(descriptor, layerName.c_str()); |
| 1785 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1786 | |
| 1787 | inputLayerOne->GetOutputSlot(0).Connect(concatLayer->GetInputSlot(0)); |
| 1788 | inputLayerTwo->GetOutputSlot(0).Connect(concatLayer->GetInputSlot(1)); |
| 1789 | concatLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1790 | |
| 1791 | inputLayerOne->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1792 | inputLayerTwo->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1793 | concatLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1794 | |
| 1795 | std::string concatLayerNetwork = SerializeNetwork(*network); |
| 1796 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(concatLayerNetwork); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1797 | CHECK(deserializedNetwork); |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1798 | |
| 1799 | // NOTE: using the MergerLayerVerifier to ensure that it is a concat layer and not a |
| 1800 | // merger layer that gets placed into the graph. |
| 1801 | MergerLayerVerifier verifier(layerName, {inputInfo, inputInfo}, {outputInfo}, descriptor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1802 | deserializedNetwork->ExecuteStrategy(verifier); |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1803 | } |
| 1804 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1805 | TEST_CASE("SerializeMinimum") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1806 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1807 | const std::string layerName("minimum"); |
| 1808 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 1809 | |
| 1810 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1811 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1812 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1813 | armnn::IConnectableLayer* const minimumLayer = network->AddMinimumLayer(layerName.c_str()); |
| 1814 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1815 | |
| 1816 | inputLayer0->GetOutputSlot(0).Connect(minimumLayer->GetInputSlot(0)); |
| 1817 | inputLayer1->GetOutputSlot(0).Connect(minimumLayer->GetInputSlot(1)); |
| 1818 | minimumLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1819 | |
| 1820 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1821 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 1822 | minimumLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1823 | |
| 1824 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1825 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1826 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1827 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 1828 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1829 | } |
| 1830 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1831 | TEST_CASE("SerializeMultiplication") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1832 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1833 | const std::string layerName("multiplication"); |
| 1834 | const armnn::TensorInfo info({ 1, 5, 2, 3 }, armnn::DataType::Float32); |
| 1835 | |
| 1836 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1837 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1838 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1839 | armnn::IConnectableLayer* const multiplicationLayer = network->AddMultiplicationLayer(layerName.c_str()); |
| 1840 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1841 | |
| 1842 | inputLayer0->GetOutputSlot(0).Connect(multiplicationLayer->GetInputSlot(0)); |
| 1843 | inputLayer1->GetOutputSlot(0).Connect(multiplicationLayer->GetInputSlot(1)); |
| 1844 | multiplicationLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1845 | |
| 1846 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1847 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 1848 | multiplicationLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1849 | |
| 1850 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1851 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1852 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1853 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 1854 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1855 | } |
| 1856 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1857 | TEST_CASE("SerializePrelu") |
Ellen Norris-Thompson | 5198247 | 2019-06-19 11:46:21 +0100 | [diff] [blame] | 1858 | { |
Ellen Norris-Thompson | 5198247 | 2019-06-19 11:46:21 +0100 | [diff] [blame] | 1859 | const std::string layerName("prelu"); |
| 1860 | |
| 1861 | armnn::TensorInfo inputTensorInfo ({ 4, 1, 2 }, armnn::DataType::Float32); |
| 1862 | armnn::TensorInfo alphaTensorInfo ({ 5, 4, 3, 1 }, armnn::DataType::Float32); |
| 1863 | armnn::TensorInfo outputTensorInfo({ 5, 4, 3, 2 }, armnn::DataType::Float32); |
| 1864 | |
| 1865 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1866 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1867 | armnn::IConnectableLayer* const alphaLayer = network->AddInputLayer(1); |
| 1868 | armnn::IConnectableLayer* const preluLayer = network->AddPreluLayer(layerName.c_str()); |
| 1869 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1870 | |
| 1871 | inputLayer->GetOutputSlot(0).Connect(preluLayer->GetInputSlot(0)); |
| 1872 | alphaLayer->GetOutputSlot(0).Connect(preluLayer->GetInputSlot(1)); |
| 1873 | preluLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1874 | |
| 1875 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 1876 | alphaLayer->GetOutputSlot(0).SetTensorInfo(alphaTensorInfo); |
| 1877 | preluLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1878 | |
| 1879 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1880 | CHECK(deserializedNetwork); |
Ellen Norris-Thompson | 5198247 | 2019-06-19 11:46:21 +0100 | [diff] [blame] | 1881 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1882 | LayerVerifierBase verifier(layerName, {inputTensorInfo, alphaTensorInfo}, {outputTensorInfo}); |
| 1883 | deserializedNetwork->ExecuteStrategy(verifier); |
Ellen Norris-Thompson | 5198247 | 2019-06-19 11:46:21 +0100 | [diff] [blame] | 1884 | } |
| 1885 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1886 | TEST_CASE("SerializeNormalization") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1887 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1888 | const std::string layerName("normalization"); |
| 1889 | const armnn::TensorInfo info({2, 1, 2, 2}, armnn::DataType::Float32); |
| 1890 | |
| 1891 | armnn::NormalizationDescriptor desc; |
| 1892 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 1893 | desc.m_NormSize = 3; |
| 1894 | desc.m_Alpha = 1; |
| 1895 | desc.m_Beta = 1; |
| 1896 | desc.m_K = 1; |
| 1897 | |
| 1898 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1899 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1900 | armnn::IConnectableLayer* const normalizationLayer = network->AddNormalizationLayer(desc, layerName.c_str()); |
| 1901 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1902 | |
| 1903 | inputLayer->GetOutputSlot(0).Connect(normalizationLayer->GetInputSlot(0)); |
| 1904 | normalizationLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1905 | |
| 1906 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1907 | normalizationLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1908 | |
| 1909 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1910 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1911 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1912 | LayerVerifierBaseWithDescriptor<armnn::NormalizationDescriptor> verifier(layerName, {info}, {info}, desc); |
| 1913 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1914 | } |
| 1915 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1916 | TEST_CASE("SerializePad") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1917 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1918 | const std::string layerName("pad"); |
| 1919 | const armnn::TensorInfo inputTensorInfo = armnn::TensorInfo({1, 2, 3, 4}, armnn::DataType::Float32); |
| 1920 | const armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 5, 7}, armnn::DataType::Float32); |
| 1921 | |
| 1922 | armnn::PadDescriptor desc({{0, 0}, {1, 0}, {1, 1}, {1, 2}}); |
| 1923 | |
| 1924 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1925 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1926 | armnn::IConnectableLayer* const padLayer = network->AddPadLayer(desc, layerName.c_str()); |
| 1927 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1928 | |
| 1929 | inputLayer->GetOutputSlot(0).Connect(padLayer->GetInputSlot(0)); |
| 1930 | padLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1931 | |
| 1932 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 1933 | padLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1934 | |
| 1935 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1936 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1937 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1938 | LayerVerifierBaseWithDescriptor<armnn::PadDescriptor> verifier(layerName, |
| 1939 | {inputTensorInfo}, |
| 1940 | {outputTensorInfo}, |
| 1941 | desc); |
| 1942 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1943 | } |
| 1944 | |
Matthew Sloyan | 2e5d0b2 | 2021-10-21 14:05:31 +0100 | [diff] [blame] | 1945 | TEST_CASE("SerializePadReflect") |
| 1946 | { |
| 1947 | const std::string layerName("padReflect"); |
| 1948 | const armnn::TensorInfo inputTensorInfo = armnn::TensorInfo({1, 2, 3, 4}, armnn::DataType::Float32); |
| 1949 | const armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 5, 7}, armnn::DataType::Float32); |
| 1950 | |
| 1951 | armnn::PadDescriptor desc({{0, 0}, {1, 0}, {1, 1}, {1, 2}}); |
| 1952 | desc.m_PaddingMode = armnn::PaddingMode::Reflect; |
| 1953 | |
| 1954 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1955 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1956 | armnn::IConnectableLayer* const padLayer = network->AddPadLayer(desc, layerName.c_str()); |
| 1957 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1958 | |
| 1959 | inputLayer->GetOutputSlot(0).Connect(padLayer->GetInputSlot(0)); |
| 1960 | padLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1961 | |
| 1962 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 1963 | padLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1964 | |
| 1965 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1966 | CHECK(deserializedNetwork); |
| 1967 | |
| 1968 | LayerVerifierBaseWithDescriptor<armnn::PadDescriptor> verifier(layerName, |
| 1969 | {inputTensorInfo}, |
| 1970 | {outputTensorInfo}, |
| 1971 | desc); |
| 1972 | deserializedNetwork->ExecuteStrategy(verifier); |
| 1973 | } |
| 1974 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1975 | TEST_CASE("EnsurePadBackwardCompatibility") |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1976 | { |
| 1977 | // The PadDescriptor is being extended with a float PadValue (so a value other than 0 |
| 1978 | // can be used to pad the tensor. |
| 1979 | // |
| 1980 | // This test contains a binary representation of a simple input->pad->output network |
| 1981 | // prior to this change to test that the descriptor has been updated in a backward |
| 1982 | // compatible way with respect to Deserialization of older binary dumps |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1983 | const std::vector<uint8_t> padModel = |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1984 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1985 | 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, |
| 1986 | 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 1987 | 0x54, 0x01, 0x00, 0x00, 0x6C, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1988 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0xD0, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, |
| 1989 | 0x04, 0x00, 0x00, 0x00, 0x96, 0xFF, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x9E, 0xFF, 0xFF, 0xFF, 0x04, 0x00, |
| 1990 | 0x00, 0x00, 0x72, 0xFF, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 1991 | 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, |
| 1992 | 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x2C, 0xFF, 0xFF, 0xFF, 0x01, 0x00, 0x00, 0x00, |
| 1993 | 0x00, 0x00, 0x00, 0x00, 0x24, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x16, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, |
| 1994 | 0x0E, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x4C, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, |
| 1995 | 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x08, 0x00, |
| 1996 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1997 | 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1998 | 0x0E, 0x00, 0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x14, 0x00, 0x0E, 0x00, 0x00, 0x00, |
| 1999 | 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, |
| 2000 | 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x70, 0x61, 0x64, 0x00, 0x01, 0x00, 0x00, 0x00, 0x48, 0x00, 0x00, 0x00, |
| 2001 | 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, |
| 2002 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x52, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, |
| 2003 | 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x05, 0x00, |
| 2004 | 0x00, 0x00, 0x07, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 2005 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, |
| 2006 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x04, 0x00, 0x00, 0x00, 0xF6, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, |
| 2007 | 0x00, 0x00, 0x06, 0x00, 0x0A, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2008 | 0x0E, 0x00, 0x14, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x0E, 0x00, 0x00, 0x00, |
| 2009 | 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2010 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, |
| 2011 | 0x08, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2012 | 0x0A, 0x00, 0x10, 0x00, 0x08, 0x00, 0x07, 0x00, 0x0C, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, |
| 2013 | 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 2014 | 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x00 |
| 2015 | }; |
| 2016 | |
| 2017 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(std::string(padModel.begin(), padModel.end())); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2018 | CHECK(deserializedNetwork); |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 2019 | |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 2020 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({ 1, 2, 3, 4 }, armnn::DataType::Float32); |
| 2021 | 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] | 2022 | |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 2023 | armnn::PadDescriptor descriptor({{ 0, 0 }, { 1, 0 }, { 1, 1 }, { 1, 2 }}); |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 2024 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2025 | LayerVerifierBaseWithDescriptor<armnn::PadDescriptor> verifier("pad", { inputInfo }, { outputInfo }, descriptor); |
| 2026 | deserializedNetwork->ExecuteStrategy(verifier); |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 2027 | } |
| 2028 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2029 | TEST_CASE("SerializePermute") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2030 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2031 | const std::string layerName("permute"); |
| 2032 | const armnn::TensorInfo inputTensorInfo({4, 3, 2, 1}, armnn::DataType::Float32); |
| 2033 | const armnn::TensorInfo outputTensorInfo({1, 2, 3, 4}, armnn::DataType::Float32); |
| 2034 | |
| 2035 | armnn::PermuteDescriptor descriptor(armnn::PermutationVector({3, 2, 1, 0})); |
| 2036 | |
| 2037 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2038 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2039 | armnn::IConnectableLayer* const permuteLayer = network->AddPermuteLayer(descriptor, layerName.c_str()); |
| 2040 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2041 | |
| 2042 | inputLayer->GetOutputSlot(0).Connect(permuteLayer->GetInputSlot(0)); |
| 2043 | permuteLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2044 | |
| 2045 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 2046 | permuteLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 2047 | |
| 2048 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2049 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2050 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2051 | LayerVerifierBaseWithDescriptor<armnn::PermuteDescriptor> verifier( |
| 2052 | layerName, {inputTensorInfo}, {outputTensorInfo}, descriptor); |
| 2053 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2054 | } |
| 2055 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2056 | TEST_CASE("SerializePooling2d") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2057 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2058 | const std::string layerName("pooling2d"); |
| 2059 | const armnn::TensorInfo inputInfo({1, 2, 2, 1}, armnn::DataType::Float32); |
| 2060 | const armnn::TensorInfo outputInfo({1, 1, 1, 1}, armnn::DataType::Float32); |
| 2061 | |
| 2062 | armnn::Pooling2dDescriptor desc; |
| 2063 | desc.m_DataLayout = armnn::DataLayout::NHWC; |
| 2064 | desc.m_PadTop = 0; |
| 2065 | desc.m_PadBottom = 0; |
| 2066 | desc.m_PadLeft = 0; |
| 2067 | desc.m_PadRight = 0; |
| 2068 | desc.m_PoolType = armnn::PoolingAlgorithm::Average; |
| 2069 | desc.m_OutputShapeRounding = armnn::OutputShapeRounding::Floor; |
| 2070 | desc.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 2071 | desc.m_PoolHeight = 2; |
| 2072 | desc.m_PoolWidth = 2; |
| 2073 | desc.m_StrideX = 2; |
| 2074 | desc.m_StrideY = 2; |
| 2075 | |
| 2076 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2077 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2078 | armnn::IConnectableLayer* const pooling2dLayer = network->AddPooling2dLayer(desc, layerName.c_str()); |
| 2079 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2080 | |
| 2081 | inputLayer->GetOutputSlot(0).Connect(pooling2dLayer->GetInputSlot(0)); |
| 2082 | pooling2dLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2083 | |
| 2084 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2085 | pooling2dLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2086 | |
| 2087 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2088 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2089 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2090 | LayerVerifierBaseWithDescriptor<armnn::Pooling2dDescriptor> verifier( |
| 2091 | layerName, {inputInfo}, {outputInfo}, desc); |
| 2092 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2093 | } |
| 2094 | |
Tamas Nyiri | d998a1c | 2021-11-05 14:55:33 +0000 | [diff] [blame] | 2095 | TEST_CASE("SerializePooling3d") |
| 2096 | { |
| 2097 | const std::string layerName("pooling3d"); |
| 2098 | const armnn::TensorInfo inputInfo({1, 1, 2, 2, 2}, armnn::DataType::Float32); |
| 2099 | const armnn::TensorInfo outputInfo({1, 1, 1, 1, 1}, armnn::DataType::Float32); |
| 2100 | |
| 2101 | armnn::Pooling3dDescriptor desc; |
| 2102 | desc.m_DataLayout = armnn::DataLayout::NDHWC; |
| 2103 | desc.m_PadFront = 0; |
| 2104 | desc.m_PadBack = 0; |
| 2105 | desc.m_PadTop = 0; |
| 2106 | desc.m_PadBottom = 0; |
| 2107 | desc.m_PadLeft = 0; |
| 2108 | desc.m_PadRight = 0; |
| 2109 | desc.m_PoolType = armnn::PoolingAlgorithm::Average; |
| 2110 | desc.m_OutputShapeRounding = armnn::OutputShapeRounding::Floor; |
| 2111 | desc.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 2112 | desc.m_PoolHeight = 2; |
| 2113 | desc.m_PoolWidth = 2; |
| 2114 | desc.m_PoolDepth = 2; |
| 2115 | desc.m_StrideX = 2; |
| 2116 | desc.m_StrideY = 2; |
| 2117 | desc.m_StrideZ = 2; |
| 2118 | |
| 2119 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2120 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2121 | armnn::IConnectableLayer* const pooling3dLayer = network->AddPooling3dLayer(desc, layerName.c_str()); |
| 2122 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2123 | |
| 2124 | inputLayer->GetOutputSlot(0).Connect(pooling3dLayer->GetInputSlot(0)); |
| 2125 | pooling3dLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2126 | |
| 2127 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2128 | pooling3dLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2129 | |
| 2130 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 2131 | CHECK(deserializedNetwork); |
| 2132 | |
| 2133 | LayerVerifierBaseWithDescriptor<armnn::Pooling3dDescriptor> verifier( |
| 2134 | layerName, {inputInfo}, {outputInfo}, desc); |
| 2135 | deserializedNetwork->ExecuteStrategy(verifier); |
| 2136 | } |
| 2137 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2138 | TEST_CASE("SerializeQuantize") |
Derek Lamberti | 87acb27 | 2019-03-27 16:51:31 +0000 | [diff] [blame] | 2139 | { |
Derek Lamberti | 87acb27 | 2019-03-27 16:51:31 +0000 | [diff] [blame] | 2140 | const std::string layerName("quantize"); |
| 2141 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 2142 | |
| 2143 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2144 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2145 | armnn::IConnectableLayer* const quantizeLayer = network->AddQuantizeLayer(layerName.c_str()); |
| 2146 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2147 | |
| 2148 | inputLayer->GetOutputSlot(0).Connect(quantizeLayer->GetInputSlot(0)); |
| 2149 | quantizeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2150 | |
| 2151 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2152 | quantizeLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2153 | |
| 2154 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2155 | CHECK(deserializedNetwork); |
Derek Lamberti | 87acb27 | 2019-03-27 16:51:31 +0000 | [diff] [blame] | 2156 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2157 | LayerVerifierBase verifier(layerName, {info}, {info}); |
| 2158 | deserializedNetwork->ExecuteStrategy(verifier); |
Derek Lamberti | 87acb27 | 2019-03-27 16:51:31 +0000 | [diff] [blame] | 2159 | } |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 2160 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2161 | TEST_CASE("SerializeRank") |
Finn Williams | 2605b23 | 2020-06-10 15:53:46 +0100 | [diff] [blame] | 2162 | { |
Finn Williams | 2605b23 | 2020-06-10 15:53:46 +0100 | [diff] [blame] | 2163 | const std::string layerName("rank"); |
| 2164 | const armnn::TensorInfo inputInfo({1, 9}, armnn::DataType::Float32); |
| 2165 | const armnn::TensorInfo outputInfo({1}, armnn::DataType::Signed32); |
| 2166 | |
| 2167 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2168 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2169 | armnn::IConnectableLayer* const rankLayer = network->AddRankLayer(layerName.c_str()); |
| 2170 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2171 | |
| 2172 | inputLayer->GetOutputSlot(0).Connect(rankLayer->GetInputSlot(0)); |
| 2173 | rankLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2174 | |
| 2175 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2176 | rankLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2177 | |
| 2178 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2179 | CHECK(deserializedNetwork); |
Finn Williams | 2605b23 | 2020-06-10 15:53:46 +0100 | [diff] [blame] | 2180 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2181 | LayerVerifierBase verifier(layerName, {inputInfo}, {outputInfo}); |
| 2182 | deserializedNetwork->ExecuteStrategy(verifier); |
Finn Williams | 2605b23 | 2020-06-10 15:53:46 +0100 | [diff] [blame] | 2183 | } |
| 2184 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2185 | TEST_CASE("SerializeReduceSum") |
Sadik Armagan | 0c3ea5b | 2021-02-03 09:29:30 +0000 | [diff] [blame] | 2186 | { |
Sadik Armagan | 0c3ea5b | 2021-02-03 09:29:30 +0000 | [diff] [blame] | 2187 | const std::string layerName("Reduce_Sum"); |
| 2188 | const armnn::TensorInfo inputInfo({1, 1, 3, 2}, armnn::DataType::Float32); |
| 2189 | const armnn::TensorInfo outputInfo({1, 1, 1, 2}, armnn::DataType::Float32); |
| 2190 | |
| 2191 | armnn::ReduceDescriptor descriptor; |
| 2192 | descriptor.m_vAxis = { 2 }; |
| 2193 | descriptor.m_ReduceOperation = armnn::ReduceOperation::Sum; |
| 2194 | |
| 2195 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2196 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2197 | armnn::IConnectableLayer* const reduceSumLayer = network->AddReduceLayer(descriptor, layerName.c_str()); |
| 2198 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2199 | |
| 2200 | inputLayer->GetOutputSlot(0).Connect(reduceSumLayer->GetInputSlot(0)); |
| 2201 | reduceSumLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2202 | |
| 2203 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2204 | reduceSumLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2205 | |
| 2206 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2207 | CHECK(deserializedNetwork); |
Sadik Armagan | 0c3ea5b | 2021-02-03 09:29:30 +0000 | [diff] [blame] | 2208 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2209 | LayerVerifierBaseWithDescriptor<armnn::ReduceDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, descriptor); |
| 2210 | deserializedNetwork->ExecuteStrategy(verifier); |
Sadik Armagan | 0c3ea5b | 2021-02-03 09:29:30 +0000 | [diff] [blame] | 2211 | } |
| 2212 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2213 | TEST_CASE("SerializeReshape") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2214 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2215 | const std::string layerName("reshape"); |
| 2216 | const armnn::TensorInfo inputInfo({1, 9}, armnn::DataType::Float32); |
| 2217 | const armnn::TensorInfo outputInfo({3, 3}, armnn::DataType::Float32); |
| 2218 | |
| 2219 | armnn::ReshapeDescriptor descriptor({3, 3}); |
| 2220 | |
| 2221 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2222 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2223 | armnn::IConnectableLayer* const reshapeLayer = network->AddReshapeLayer(descriptor, layerName.c_str()); |
| 2224 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2225 | |
| 2226 | inputLayer->GetOutputSlot(0).Connect(reshapeLayer->GetInputSlot(0)); |
| 2227 | reshapeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2228 | |
| 2229 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2230 | reshapeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2231 | |
| 2232 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2233 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2234 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2235 | LayerVerifierBaseWithDescriptor<armnn::ReshapeDescriptor> verifier( |
| 2236 | layerName, {inputInfo}, {outputInfo}, descriptor); |
| 2237 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2238 | } |
| 2239 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2240 | TEST_CASE("SerializeResize") |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 2241 | { |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 2242 | const std::string layerName("resize"); |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2243 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({1, 3, 5, 5}, armnn::DataType::Float32); |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 2244 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({1, 3, 2, 4}, armnn::DataType::Float32); |
| 2245 | |
| 2246 | armnn::ResizeDescriptor desc; |
Aron Virginas-Tar | 169d2f1 | 2019-07-01 19:01:44 +0100 | [diff] [blame] | 2247 | desc.m_TargetWidth = 4; |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 2248 | desc.m_TargetHeight = 2; |
Aron Virginas-Tar | 169d2f1 | 2019-07-01 19:01:44 +0100 | [diff] [blame] | 2249 | desc.m_Method = armnn::ResizeMethod::NearestNeighbor; |
David Monahan | 4a0c9b9 | 2020-05-30 09:48:39 +0100 | [diff] [blame] | 2250 | desc.m_AlignCorners = true; |
| 2251 | desc.m_HalfPixelCenters = true; |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 2252 | |
| 2253 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2254 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2255 | armnn::IConnectableLayer* const resizeLayer = network->AddResizeLayer(desc, layerName.c_str()); |
| 2256 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2257 | |
| 2258 | inputLayer->GetOutputSlot(0).Connect(resizeLayer->GetInputSlot(0)); |
| 2259 | resizeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2260 | |
| 2261 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2262 | resizeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2263 | |
| 2264 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2265 | CHECK(deserializedNetwork); |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 2266 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2267 | LayerVerifierBaseWithDescriptor<armnn::ResizeDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, desc); |
| 2268 | deserializedNetwork->ExecuteStrategy(verifier); |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 2269 | } |
| 2270 | |
Jan Eilers | 1b2654f | 2021-09-24 15:45:46 +0100 | [diff] [blame] | 2271 | class ResizeBilinearLayerVerifier : public LayerVerifierBaseWithDescriptor<armnn::ResizeDescriptor> |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2272 | { |
| 2273 | public: |
| 2274 | ResizeBilinearLayerVerifier(const std::string& layerName, |
| 2275 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 2276 | const std::vector<armnn::TensorInfo>& outputInfos, |
Jan Eilers | 1b2654f | 2021-09-24 15:45:46 +0100 | [diff] [blame] | 2277 | const armnn::ResizeDescriptor& descriptor) |
| 2278 | : LayerVerifierBaseWithDescriptor<armnn::ResizeDescriptor>( |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2279 | layerName, inputInfos, outputInfos, descriptor) {} |
| 2280 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2281 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 2282 | const armnn::BaseDescriptor& descriptor, |
| 2283 | const std::vector<armnn::ConstTensor>& constants, |
| 2284 | const char* name, |
| 2285 | const armnn::LayerBindingId id = 0) override |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2286 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2287 | armnn::IgnoreUnused(descriptor, constants, id); |
| 2288 | switch (layer->GetType()) |
| 2289 | { |
| 2290 | case armnn::LayerType::Input: break; |
| 2291 | case armnn::LayerType::Output: break; |
| 2292 | case armnn::LayerType::Resize: |
| 2293 | { |
| 2294 | VerifyNameAndConnections(layer, name); |
| 2295 | const armnn::ResizeDescriptor& layerDescriptor = |
| 2296 | static_cast<const armnn::ResizeDescriptor&>(descriptor); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2297 | CHECK(layerDescriptor.m_Method == armnn::ResizeMethod::Bilinear); |
| 2298 | CHECK(layerDescriptor.m_TargetWidth == m_Descriptor.m_TargetWidth); |
| 2299 | CHECK(layerDescriptor.m_TargetHeight == m_Descriptor.m_TargetHeight); |
| 2300 | CHECK(layerDescriptor.m_DataLayout == m_Descriptor.m_DataLayout); |
| 2301 | CHECK(layerDescriptor.m_AlignCorners == m_Descriptor.m_AlignCorners); |
| 2302 | CHECK(layerDescriptor.m_HalfPixelCenters == m_Descriptor.m_HalfPixelCenters); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2303 | break; |
| 2304 | } |
| 2305 | default: |
| 2306 | { |
| 2307 | throw armnn::Exception("Unexpected layer type in test model. ResizeBiliniar " |
| 2308 | "should have translated to Resize"); |
| 2309 | } |
| 2310 | } |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2311 | } |
| 2312 | }; |
| 2313 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2314 | TEST_CASE("SerializeResizeBilinear") |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2315 | { |
| 2316 | const std::string layerName("resizeBilinear"); |
| 2317 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({1, 3, 5, 5}, armnn::DataType::Float32); |
| 2318 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({1, 3, 2, 4}, armnn::DataType::Float32); |
| 2319 | |
Jan Eilers | 1b2654f | 2021-09-24 15:45:46 +0100 | [diff] [blame] | 2320 | armnn::ResizeDescriptor desc; |
| 2321 | desc.m_Method = armnn::ResizeMethod::Bilinear; |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2322 | desc.m_TargetWidth = 4u; |
| 2323 | desc.m_TargetHeight = 2u; |
David Monahan | 4a0c9b9 | 2020-05-30 09:48:39 +0100 | [diff] [blame] | 2324 | desc.m_AlignCorners = true; |
| 2325 | desc.m_HalfPixelCenters = true; |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2326 | |
| 2327 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2328 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
Jan Eilers | 1b2654f | 2021-09-24 15:45:46 +0100 | [diff] [blame] | 2329 | armnn::IConnectableLayer* const resizeLayer = network->AddResizeLayer(desc, layerName.c_str()); |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2330 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2331 | |
| 2332 | inputLayer->GetOutputSlot(0).Connect(resizeLayer->GetInputSlot(0)); |
| 2333 | resizeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2334 | |
| 2335 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2336 | resizeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2337 | |
| 2338 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2339 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2340 | |
| 2341 | ResizeBilinearLayerVerifier verifier(layerName, {inputInfo}, {outputInfo}, desc); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2342 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2343 | } |
| 2344 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2345 | TEST_CASE("EnsureResizeBilinearBackwardCompatibility") |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2346 | { |
| 2347 | // The hex data below is a flat buffer containing a simple network with an input, |
Jan Eilers | 1b2654f | 2021-09-24 15:45:46 +0100 | [diff] [blame] | 2348 | // a ResizeBilinearLayer (now deprecated and removed) and an output |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2349 | // |
| 2350 | // This test verifies that we can still deserialize this old-style model by replacing |
| 2351 | // the ResizeBilinearLayer with an equivalent ResizeLayer |
| 2352 | const std::vector<uint8_t> resizeBilinearModel = |
| 2353 | { |
| 2354 | 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, |
| 2355 | 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 2356 | 0x50, 0x01, 0x00, 0x00, 0x74, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2357 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0xD4, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, |
| 2358 | 0x04, 0x00, 0x00, 0x00, 0xC2, 0xFE, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, |
| 2359 | 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x8A, 0xFF, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, |
| 2360 | 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2361 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2362 | 0x38, 0xFF, 0xFF, 0xFF, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x30, 0xFF, 0xFF, 0xFF, 0x00, 0x00, |
| 2363 | 0x00, 0x1A, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0E, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 2364 | 0x34, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x12, 0x00, 0x08, 0x00, 0x0C, 0x00, |
| 2365 | 0x07, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, |
| 2366 | 0x00, 0x00, 0x0E, 0x00, 0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x14, 0x00, 0x0E, 0x00, |
| 2367 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x19, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, |
| 2368 | 0x20, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x00, 0x00, 0x72, 0x65, 0x73, 0x69, 0x7A, 0x65, 0x42, 0x69, 0x6C, 0x69, |
| 2369 | 0x6E, 0x65, 0x61, 0x72, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x48, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, |
| 2370 | 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 2371 | 0x00, 0x00, 0x52, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2372 | 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 2373 | 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2374 | 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2375 | 0x00, 0x09, 0x04, 0x00, 0x00, 0x00, 0xF6, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, |
| 2376 | 0x0A, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x14, 0x00, |
| 2377 | 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x0E, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, |
| 2378 | 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2379 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0A, 0x00, |
| 2380 | 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, |
| 2381 | 0x08, 0x00, 0x07, 0x00, 0x0C, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, |
| 2382 | 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x05, 0x00, |
| 2383 | 0x00, 0x00, 0x05, 0x00, 0x00, 0x00 |
| 2384 | }; |
| 2385 | |
| 2386 | armnn::INetworkPtr deserializedNetwork = |
| 2387 | DeserializeNetwork(std::string(resizeBilinearModel.begin(), resizeBilinearModel.end())); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2388 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2389 | |
| 2390 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({1, 3, 5, 5}, armnn::DataType::Float32); |
| 2391 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({1, 3, 2, 4}, armnn::DataType::Float32); |
| 2392 | |
Jan Eilers | 1b2654f | 2021-09-24 15:45:46 +0100 | [diff] [blame] | 2393 | armnn::ResizeDescriptor descriptor; |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2394 | descriptor.m_TargetWidth = 4u; |
| 2395 | descriptor.m_TargetHeight = 2u; |
| 2396 | |
| 2397 | ResizeBilinearLayerVerifier verifier("resizeBilinear", { inputInfo }, { outputInfo }, descriptor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2398 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2399 | } |
| 2400 | |
Keith Davis | 3ae3f97 | 2021-05-21 16:33:48 +0100 | [diff] [blame] | 2401 | TEST_CASE("SerializeShape") |
| 2402 | { |
| 2403 | const std::string layerName("shape"); |
| 2404 | const armnn::TensorInfo inputInfo({1, 3, 3, 1}, armnn::DataType::Signed32); |
| 2405 | const armnn::TensorInfo outputInfo({ 4 }, armnn::DataType::Signed32); |
| 2406 | |
| 2407 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2408 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2409 | armnn::IConnectableLayer* const shapeLayer = network->AddShapeLayer(layerName.c_str()); |
| 2410 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2411 | |
| 2412 | inputLayer->GetOutputSlot(0).Connect(shapeLayer->GetInputSlot(0)); |
| 2413 | shapeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2414 | |
| 2415 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2416 | shapeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2417 | |
| 2418 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 2419 | CHECK(deserializedNetwork); |
| 2420 | |
| 2421 | LayerVerifierBase verifier(layerName, {inputInfo}, {outputInfo}); |
| 2422 | |
| 2423 | deserializedNetwork->ExecuteStrategy(verifier); |
| 2424 | } |
| 2425 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2426 | TEST_CASE("SerializeSlice") |
Aron Virginas-Tar | 2fda80b | 2019-09-18 13:36:52 +0100 | [diff] [blame] | 2427 | { |
Aron Virginas-Tar | 2fda80b | 2019-09-18 13:36:52 +0100 | [diff] [blame] | 2428 | const std::string layerName{"slice"}; |
| 2429 | |
| 2430 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({3, 2, 3, 1}, armnn::DataType::Float32); |
| 2431 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({2, 2, 2, 1}, armnn::DataType::Float32); |
| 2432 | |
| 2433 | armnn::SliceDescriptor descriptor({ 0, 0, 1, 0}, {2, 2, 2, 1}); |
| 2434 | |
| 2435 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2436 | |
| 2437 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2438 | armnn::IConnectableLayer* const sliceLayer = network->AddSliceLayer(descriptor, layerName.c_str()); |
| 2439 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2440 | |
| 2441 | inputLayer->GetOutputSlot(0).Connect(sliceLayer->GetInputSlot(0)); |
| 2442 | sliceLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2443 | |
| 2444 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2445 | sliceLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2446 | |
| 2447 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2448 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | 2fda80b | 2019-09-18 13:36:52 +0100 | [diff] [blame] | 2449 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2450 | LayerVerifierBaseWithDescriptor<armnn::SliceDescriptor> verifier(layerName, {inputInfo}, {outputInfo}, descriptor); |
| 2451 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | 2fda80b | 2019-09-18 13:36:52 +0100 | [diff] [blame] | 2452 | } |
| 2453 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2454 | TEST_CASE("SerializeSoftmax") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2455 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2456 | const std::string layerName("softmax"); |
| 2457 | const armnn::TensorInfo info({1, 10}, armnn::DataType::Float32); |
| 2458 | |
| 2459 | armnn::SoftmaxDescriptor descriptor; |
| 2460 | descriptor.m_Beta = 1.0f; |
| 2461 | |
| 2462 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2463 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2464 | armnn::IConnectableLayer* const softmaxLayer = network->AddSoftmaxLayer(descriptor, layerName.c_str()); |
| 2465 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2466 | |
| 2467 | inputLayer->GetOutputSlot(0).Connect(softmaxLayer->GetInputSlot(0)); |
| 2468 | softmaxLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2469 | |
| 2470 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2471 | softmaxLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2472 | |
| 2473 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2474 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2475 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2476 | LayerVerifierBaseWithDescriptor<armnn::SoftmaxDescriptor> verifier(layerName, {info}, {info}, descriptor); |
| 2477 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2478 | } |
| 2479 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2480 | TEST_CASE("SerializeSpaceToBatchNd") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2481 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2482 | const std::string layerName("spaceToBatchNd"); |
| 2483 | const armnn::TensorInfo inputInfo({2, 1, 2, 4}, armnn::DataType::Float32); |
| 2484 | const armnn::TensorInfo outputInfo({8, 1, 1, 3}, armnn::DataType::Float32); |
| 2485 | |
| 2486 | armnn::SpaceToBatchNdDescriptor desc; |
| 2487 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 2488 | desc.m_BlockShape = {2, 2}; |
| 2489 | desc.m_PadList = {{0, 0}, {2, 0}}; |
| 2490 | |
| 2491 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2492 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2493 | armnn::IConnectableLayer* const spaceToBatchNdLayer = network->AddSpaceToBatchNdLayer(desc, layerName.c_str()); |
| 2494 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2495 | |
| 2496 | inputLayer->GetOutputSlot(0).Connect(spaceToBatchNdLayer->GetInputSlot(0)); |
| 2497 | spaceToBatchNdLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2498 | |
| 2499 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2500 | spaceToBatchNdLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2501 | |
| 2502 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2503 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2504 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2505 | LayerVerifierBaseWithDescriptor<armnn::SpaceToBatchNdDescriptor> verifier( |
| 2506 | layerName, {inputInfo}, {outputInfo}, desc); |
| 2507 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2508 | } |
| 2509 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2510 | TEST_CASE("SerializeSpaceToDepth") |
Aron Virginas-Tar | aa06714 | 2019-06-11 16:01:44 +0100 | [diff] [blame] | 2511 | { |
Aron Virginas-Tar | aa06714 | 2019-06-11 16:01:44 +0100 | [diff] [blame] | 2512 | const std::string layerName("spaceToDepth"); |
| 2513 | |
| 2514 | const armnn::TensorInfo inputInfo ({ 1, 16, 8, 3 }, armnn::DataType::Float32); |
| 2515 | const armnn::TensorInfo outputInfo({ 1, 8, 4, 12 }, armnn::DataType::Float32); |
| 2516 | |
| 2517 | armnn::SpaceToDepthDescriptor desc; |
| 2518 | desc.m_BlockSize = 2; |
| 2519 | desc.m_DataLayout = armnn::DataLayout::NHWC; |
| 2520 | |
| 2521 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2522 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2523 | armnn::IConnectableLayer* const spaceToDepthLayer = network->AddSpaceToDepthLayer(desc, layerName.c_str()); |
| 2524 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2525 | |
| 2526 | inputLayer->GetOutputSlot(0).Connect(spaceToDepthLayer->GetInputSlot(0)); |
| 2527 | spaceToDepthLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2528 | |
| 2529 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2530 | spaceToDepthLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2531 | |
| 2532 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2533 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | aa06714 | 2019-06-11 16:01:44 +0100 | [diff] [blame] | 2534 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2535 | LayerVerifierBaseWithDescriptor<armnn::SpaceToDepthDescriptor> verifier( |
| 2536 | layerName, {inputInfo}, {outputInfo}, desc); |
| 2537 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | aa06714 | 2019-06-11 16:01:44 +0100 | [diff] [blame] | 2538 | } |
| 2539 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2540 | TEST_CASE("SerializeSplitter") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2541 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2542 | const unsigned int numViews = 3; |
| 2543 | const unsigned int numDimensions = 4; |
| 2544 | const unsigned int inputShape[] = {1, 18, 4, 4}; |
| 2545 | const unsigned int outputShape[] = {1, 6, 4, 4}; |
| 2546 | |
| 2547 | // This is modelled on how the caffe parser sets up a splitter layer to partition an input along dimension one. |
| 2548 | unsigned int splitterDimSizes[4] = {static_cast<unsigned int>(inputShape[0]), |
| 2549 | static_cast<unsigned int>(inputShape[1]), |
| 2550 | static_cast<unsigned int>(inputShape[2]), |
| 2551 | static_cast<unsigned int>(inputShape[3])}; |
| 2552 | splitterDimSizes[1] /= numViews; |
| 2553 | armnn::ViewsDescriptor desc(numViews, numDimensions); |
| 2554 | |
| 2555 | for (unsigned int g = 0; g < numViews; ++g) |
| 2556 | { |
| 2557 | desc.SetViewOriginCoord(g, 1, splitterDimSizes[1] * g); |
| 2558 | |
| 2559 | for (unsigned int dimIdx=0; dimIdx < 4; dimIdx++) |
| 2560 | { |
| 2561 | desc.SetViewSize(g, dimIdx, splitterDimSizes[dimIdx]); |
| 2562 | } |
| 2563 | } |
| 2564 | |
| 2565 | const std::string layerName("splitter"); |
| 2566 | const armnn::TensorInfo inputInfo(numDimensions, inputShape, armnn::DataType::Float32); |
| 2567 | const armnn::TensorInfo outputInfo(numDimensions, outputShape, armnn::DataType::Float32); |
| 2568 | |
| 2569 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2570 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2571 | armnn::IConnectableLayer* const splitterLayer = network->AddSplitterLayer(desc, layerName.c_str()); |
| 2572 | armnn::IConnectableLayer* const outputLayer0 = network->AddOutputLayer(0); |
| 2573 | armnn::IConnectableLayer* const outputLayer1 = network->AddOutputLayer(1); |
| 2574 | armnn::IConnectableLayer* const outputLayer2 = network->AddOutputLayer(2); |
| 2575 | |
| 2576 | inputLayer->GetOutputSlot(0).Connect(splitterLayer->GetInputSlot(0)); |
| 2577 | splitterLayer->GetOutputSlot(0).Connect(outputLayer0->GetInputSlot(0)); |
| 2578 | splitterLayer->GetOutputSlot(1).Connect(outputLayer1->GetInputSlot(0)); |
| 2579 | splitterLayer->GetOutputSlot(2).Connect(outputLayer2->GetInputSlot(0)); |
| 2580 | |
| 2581 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2582 | splitterLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2583 | splitterLayer->GetOutputSlot(1).SetTensorInfo(outputInfo); |
| 2584 | splitterLayer->GetOutputSlot(2).SetTensorInfo(outputInfo); |
| 2585 | |
| 2586 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2587 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2588 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2589 | LayerVerifierBaseWithDescriptor<armnn::ViewsDescriptor> verifier( |
| 2590 | layerName, {inputInfo}, {outputInfo, outputInfo, outputInfo}, desc); |
| 2591 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2592 | } |
| 2593 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2594 | TEST_CASE("SerializeStack") |
Matthew Jackson | b5433ee | 2019-07-11 15:54:20 +0100 | [diff] [blame] | 2595 | { |
Matthew Jackson | b5433ee | 2019-07-11 15:54:20 +0100 | [diff] [blame] | 2596 | const std::string layerName("stack"); |
| 2597 | |
| 2598 | armnn::TensorInfo inputTensorInfo ({4, 3, 5}, armnn::DataType::Float32); |
| 2599 | armnn::TensorInfo outputTensorInfo({4, 3, 2, 5}, armnn::DataType::Float32); |
| 2600 | |
| 2601 | armnn::StackDescriptor descriptor(2, 2, {4, 3, 5}); |
| 2602 | |
| 2603 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2604 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(0); |
| 2605 | armnn::IConnectableLayer* const inputLayer2 = network->AddInputLayer(1); |
| 2606 | armnn::IConnectableLayer* const stackLayer = network->AddStackLayer(descriptor, layerName.c_str()); |
| 2607 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2608 | |
| 2609 | inputLayer1->GetOutputSlot(0).Connect(stackLayer->GetInputSlot(0)); |
| 2610 | inputLayer2->GetOutputSlot(0).Connect(stackLayer->GetInputSlot(1)); |
| 2611 | stackLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2612 | |
| 2613 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 2614 | inputLayer2->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 2615 | stackLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 2616 | |
| 2617 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2618 | CHECK(deserializedNetwork); |
Matthew Jackson | b5433ee | 2019-07-11 15:54:20 +0100 | [diff] [blame] | 2619 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2620 | LayerVerifierBaseWithDescriptor<armnn::StackDescriptor> verifier( |
| 2621 | layerName, {inputTensorInfo, inputTensorInfo}, {outputTensorInfo}, descriptor); |
| 2622 | deserializedNetwork->ExecuteStrategy(verifier); |
Matthew Jackson | b5433ee | 2019-07-11 15:54:20 +0100 | [diff] [blame] | 2623 | } |
| 2624 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2625 | TEST_CASE("SerializeStandIn") |
Aron Virginas-Tar | 85121a2 | 2019-10-23 10:41:35 +0100 | [diff] [blame] | 2626 | { |
Aron Virginas-Tar | 85121a2 | 2019-10-23 10:41:35 +0100 | [diff] [blame] | 2627 | const std::string layerName("standIn"); |
| 2628 | |
| 2629 | armnn::TensorInfo tensorInfo({ 1u }, armnn::DataType::Float32); |
| 2630 | armnn::StandInDescriptor descriptor(2u, 2u); |
| 2631 | |
| 2632 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2633 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 2634 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 2635 | armnn::IConnectableLayer* const standInLayer = network->AddStandInLayer(descriptor, layerName.c_str()); |
| 2636 | armnn::IConnectableLayer* const outputLayer0 = network->AddOutputLayer(0); |
| 2637 | armnn::IConnectableLayer* const outputLayer1 = network->AddOutputLayer(1); |
| 2638 | |
| 2639 | inputLayer0->GetOutputSlot(0).Connect(standInLayer->GetInputSlot(0)); |
| 2640 | inputLayer0->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 2641 | |
| 2642 | inputLayer1->GetOutputSlot(0).Connect(standInLayer->GetInputSlot(1)); |
| 2643 | inputLayer1->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 2644 | |
| 2645 | standInLayer->GetOutputSlot(0).Connect(outputLayer0->GetInputSlot(0)); |
| 2646 | standInLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 2647 | |
| 2648 | standInLayer->GetOutputSlot(1).Connect(outputLayer1->GetInputSlot(0)); |
| 2649 | standInLayer->GetOutputSlot(1).SetTensorInfo(tensorInfo); |
| 2650 | |
| 2651 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2652 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | 85121a2 | 2019-10-23 10:41:35 +0100 | [diff] [blame] | 2653 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2654 | LayerVerifierBaseWithDescriptor<armnn::StandInDescriptor> verifier( |
| 2655 | layerName, { tensorInfo, tensorInfo }, { tensorInfo, tensorInfo }, descriptor); |
| 2656 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | 85121a2 | 2019-10-23 10:41:35 +0100 | [diff] [blame] | 2657 | } |
| 2658 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2659 | TEST_CASE("SerializeStridedSlice") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2660 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2661 | const std::string layerName("stridedSlice"); |
| 2662 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({3, 2, 3, 1}, armnn::DataType::Float32); |
| 2663 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({3, 1}, armnn::DataType::Float32); |
| 2664 | |
| 2665 | armnn::StridedSliceDescriptor desc({0, 0, 1, 0}, {1, 1, 1, 1}, {1, 1, 1, 1}); |
| 2666 | desc.m_EndMask = (1 << 4) - 1; |
| 2667 | desc.m_ShrinkAxisMask = (1 << 1) | (1 << 2); |
| 2668 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 2669 | |
| 2670 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2671 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2672 | armnn::IConnectableLayer* const stridedSliceLayer = network->AddStridedSliceLayer(desc, layerName.c_str()); |
| 2673 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2674 | |
| 2675 | inputLayer->GetOutputSlot(0).Connect(stridedSliceLayer->GetInputSlot(0)); |
| 2676 | stridedSliceLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2677 | |
| 2678 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2679 | stridedSliceLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2680 | |
| 2681 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2682 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2683 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2684 | LayerVerifierBaseWithDescriptor<armnn::StridedSliceDescriptor> verifier( |
| 2685 | layerName, {inputInfo}, {outputInfo}, desc); |
| 2686 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2687 | } |
| 2688 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2689 | TEST_CASE("SerializeSubtraction") |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2690 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2691 | const std::string layerName("subtraction"); |
| 2692 | const armnn::TensorInfo info({ 1, 4 }, armnn::DataType::Float32); |
| 2693 | |
| 2694 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2695 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 2696 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 2697 | armnn::IConnectableLayer* const subtractionLayer = network->AddSubtractionLayer(layerName.c_str()); |
| 2698 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2699 | |
| 2700 | inputLayer0->GetOutputSlot(0).Connect(subtractionLayer->GetInputSlot(0)); |
| 2701 | inputLayer1->GetOutputSlot(0).Connect(subtractionLayer->GetInputSlot(1)); |
| 2702 | subtractionLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2703 | |
| 2704 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 2705 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 2706 | subtractionLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2707 | |
| 2708 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2709 | CHECK(deserializedNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2710 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2711 | LayerVerifierBase verifier(layerName, {info, info}, {info}); |
| 2712 | deserializedNetwork->ExecuteStrategy(verifier); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 2713 | } |
| 2714 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2715 | TEST_CASE("SerializeSwitch") |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2716 | { |
| 2717 | class SwitchLayerVerifier : public LayerVerifierBase |
| 2718 | { |
| 2719 | public: |
| 2720 | SwitchLayerVerifier(const std::string& layerName, |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 2721 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 2722 | const std::vector<armnn::TensorInfo>& outputInfos) |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2723 | : LayerVerifierBase(layerName, inputInfos, outputInfos) {} |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2724 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2725 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 2726 | const armnn::BaseDescriptor& descriptor, |
| 2727 | const std::vector<armnn::ConstTensor>& constants, |
| 2728 | const char* name, |
| 2729 | const armnn::LayerBindingId id = 0) override |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2730 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2731 | armnn::IgnoreUnused(descriptor, constants, id); |
| 2732 | switch (layer->GetType()) |
| 2733 | { |
| 2734 | case armnn::LayerType::Input: break; |
| 2735 | case armnn::LayerType::Output: break; |
| 2736 | case armnn::LayerType::Constant: break; |
| 2737 | case armnn::LayerType::Switch: |
| 2738 | { |
| 2739 | VerifyNameAndConnections(layer, name); |
| 2740 | break; |
| 2741 | } |
| 2742 | default: |
| 2743 | { |
| 2744 | throw armnn::Exception("Unexpected layer type in Switch test model"); |
| 2745 | } |
| 2746 | } |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2747 | } |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2748 | }; |
| 2749 | |
| 2750 | const std::string layerName("switch"); |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 2751 | const armnn::TensorInfo info({ 1, 4 }, armnn::DataType::Float32, 0.0f, 0, true); |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2752 | |
| 2753 | std::vector<float> constantData = GenerateRandomData<float>(info.GetNumElements()); |
| 2754 | armnn::ConstTensor constTensor(info, constantData); |
| 2755 | |
| 2756 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2757 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2758 | armnn::IConnectableLayer* const constantLayer = network->AddConstantLayer(constTensor, "constant"); |
| 2759 | armnn::IConnectableLayer* const switchLayer = network->AddSwitchLayer(layerName.c_str()); |
| 2760 | armnn::IConnectableLayer* const trueOutputLayer = network->AddOutputLayer(0); |
| 2761 | armnn::IConnectableLayer* const falseOutputLayer = network->AddOutputLayer(1); |
| 2762 | |
| 2763 | inputLayer->GetOutputSlot(0).Connect(switchLayer->GetInputSlot(0)); |
| 2764 | constantLayer->GetOutputSlot(0).Connect(switchLayer->GetInputSlot(1)); |
| 2765 | switchLayer->GetOutputSlot(0).Connect(trueOutputLayer->GetInputSlot(0)); |
| 2766 | switchLayer->GetOutputSlot(1).Connect(falseOutputLayer->GetInputSlot(0)); |
| 2767 | |
| 2768 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2769 | constantLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2770 | switchLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2771 | switchLayer->GetOutputSlot(1).SetTensorInfo(info); |
| 2772 | |
| 2773 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2774 | CHECK(deserializedNetwork); |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2775 | |
| 2776 | SwitchLayerVerifier verifier(layerName, {info, info}, {info, info}); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2777 | deserializedNetwork->ExecuteStrategy(verifier); |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2778 | } |
| 2779 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2780 | TEST_CASE("SerializeTranspose") |
Mike Kelly | c9ea45a | 2020-02-28 18:11:58 +0000 | [diff] [blame] | 2781 | { |
Mike Kelly | c9ea45a | 2020-02-28 18:11:58 +0000 | [diff] [blame] | 2782 | const std::string layerName("transpose"); |
| 2783 | const armnn::TensorInfo inputTensorInfo({4, 3, 2, 1}, armnn::DataType::Float32); |
| 2784 | const armnn::TensorInfo outputTensorInfo({1, 2, 3, 4}, armnn::DataType::Float32); |
| 2785 | |
| 2786 | armnn::TransposeDescriptor descriptor(armnn::PermutationVector({3, 2, 1, 0})); |
| 2787 | |
| 2788 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2789 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2790 | armnn::IConnectableLayer* const transposeLayer = network->AddTransposeLayer(descriptor, layerName.c_str()); |
| 2791 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2792 | |
| 2793 | inputLayer->GetOutputSlot(0).Connect(transposeLayer->GetInputSlot(0)); |
| 2794 | transposeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2795 | |
| 2796 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 2797 | transposeLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 2798 | |
| 2799 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2800 | CHECK(deserializedNetwork); |
Mike Kelly | c9ea45a | 2020-02-28 18:11:58 +0000 | [diff] [blame] | 2801 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2802 | LayerVerifierBaseWithDescriptor<armnn::TransposeDescriptor> verifier( |
| 2803 | layerName, {inputTensorInfo}, {outputTensorInfo}, descriptor); |
| 2804 | deserializedNetwork->ExecuteStrategy(verifier); |
Mike Kelly | c9ea45a | 2020-02-28 18:11:58 +0000 | [diff] [blame] | 2805 | } |
| 2806 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2807 | TEST_CASE("SerializeTransposeConvolution2d") |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2808 | { |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2809 | const std::string layerName("transposeConvolution2d"); |
| 2810 | const armnn::TensorInfo inputInfo ({ 1, 7, 7, 1 }, armnn::DataType::Float32); |
| 2811 | const armnn::TensorInfo outputInfo({ 1, 9, 9, 1 }, armnn::DataType::Float32); |
| 2812 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 2813 | const armnn::TensorInfo weightsInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32, 0.0f, 0, true); |
| 2814 | const armnn::TensorInfo biasesInfo ({ 1 }, armnn::DataType::Float32, 0.0f, 0, true); |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2815 | |
| 2816 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 2817 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 2818 | |
| 2819 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 2820 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 2821 | |
| 2822 | armnn::TransposeConvolution2dDescriptor descriptor; |
| 2823 | descriptor.m_PadLeft = 1; |
| 2824 | descriptor.m_PadRight = 1; |
| 2825 | descriptor.m_PadTop = 1; |
| 2826 | descriptor.m_PadBottom = 1; |
| 2827 | descriptor.m_StrideX = 1; |
| 2828 | descriptor.m_StrideY = 1; |
| 2829 | descriptor.m_BiasEnabled = true; |
| 2830 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 2831 | |
| 2832 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2833 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2834 | armnn::IConnectableLayer* const convLayer = |
| 2835 | network->AddTransposeConvolution2dLayer(descriptor, |
| 2836 | weights, |
| 2837 | armnn::Optional<armnn::ConstTensor>(biases), |
| 2838 | layerName.c_str()); |
| 2839 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2840 | |
| 2841 | inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0)); |
| 2842 | convLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2843 | |
| 2844 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2845 | convLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2846 | |
| 2847 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2848 | CHECK(deserializedNetwork); |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2849 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2850 | const std::vector<armnn::ConstTensor> constants {weights, biases}; |
| 2851 | LayerVerifierBaseWithDescriptorAndConstants<armnn::TransposeConvolution2dDescriptor> verifier( |
| 2852 | layerName, {inputInfo}, {outputInfo}, descriptor, constants); |
| 2853 | deserializedNetwork->ExecuteStrategy(verifier); |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2854 | } |
| 2855 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2856 | TEST_CASE("SerializeDeserializeNonLinearNetwork") |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2857 | { |
| 2858 | class ConstantLayerVerifier : public LayerVerifierBase |
| 2859 | { |
| 2860 | public: |
| 2861 | ConstantLayerVerifier(const std::string& layerName, |
| 2862 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 2863 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 2864 | const armnn::ConstTensor& layerInput) |
| 2865 | : LayerVerifierBase(layerName, inputInfos, outputInfos) |
| 2866 | , m_LayerInput(layerInput) {} |
| 2867 | |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2868 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 2869 | const armnn::BaseDescriptor& descriptor, |
| 2870 | const std::vector<armnn::ConstTensor>& constants, |
| 2871 | const char* name, |
| 2872 | const armnn::LayerBindingId id = 0) override |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2873 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2874 | armnn::IgnoreUnused(descriptor, constants, id); |
| 2875 | switch (layer->GetType()) |
| 2876 | { |
| 2877 | case armnn::LayerType::Input: break; |
| 2878 | case armnn::LayerType::Output: break; |
| 2879 | case armnn::LayerType::Addition: break; |
| 2880 | case armnn::LayerType::Constant: |
| 2881 | { |
| 2882 | VerifyNameAndConnections(layer, name); |
| 2883 | CompareConstTensor(constants.at(0), m_LayerInput); |
| 2884 | break; |
| 2885 | } |
| 2886 | default: |
| 2887 | { |
| 2888 | throw armnn::Exception("Unexpected layer type in test model"); |
| 2889 | } |
| 2890 | } |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2891 | } |
| 2892 | |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2893 | private: |
| 2894 | armnn::ConstTensor m_LayerInput; |
| 2895 | }; |
| 2896 | |
| 2897 | const std::string layerName("constant"); |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 2898 | const armnn::TensorInfo info({ 2, 3 }, armnn::DataType::Float32, 0.0f, 0, true); |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2899 | |
| 2900 | std::vector<float> constantData = GenerateRandomData<float>(info.GetNumElements()); |
| 2901 | armnn::ConstTensor constTensor(info, constantData); |
| 2902 | |
| 2903 | armnn::INetworkPtr network(armnn::INetwork::Create()); |
| 2904 | armnn::IConnectableLayer* input = network->AddInputLayer(0); |
| 2905 | armnn::IConnectableLayer* add = network->AddAdditionLayer(); |
| 2906 | armnn::IConnectableLayer* constant = network->AddConstantLayer(constTensor, layerName.c_str()); |
| 2907 | armnn::IConnectableLayer* output = network->AddOutputLayer(0); |
| 2908 | |
| 2909 | input->GetOutputSlot(0).Connect(add->GetInputSlot(0)); |
| 2910 | constant->GetOutputSlot(0).Connect(add->GetInputSlot(1)); |
| 2911 | add->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| 2912 | |
| 2913 | input->GetOutputSlot(0).SetTensorInfo(info); |
| 2914 | constant->GetOutputSlot(0).SetTensorInfo(info); |
| 2915 | add->GetOutputSlot(0).SetTensorInfo(info); |
| 2916 | |
| 2917 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2918 | CHECK(deserializedNetwork); |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2919 | |
| 2920 | ConstantLayerVerifier verifier(layerName, {}, {info}, constTensor); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2921 | deserializedNetwork->ExecuteStrategy(verifier); |
James Conroy | 8d33318 | 2020-05-13 10:27:58 +0100 | [diff] [blame] | 2922 | } |
| 2923 | |
Teresa Charlin | 50de4fa | 2021-05-31 18:47:33 +0100 | [diff] [blame] | 2924 | } |