Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2021 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "../Serializer.hpp" |
| 7 | #include "SerializerTestUtils.hpp" |
| 8 | |
| 9 | #include <armnn/Descriptors.hpp> |
| 10 | #include <armnn/INetwork.hpp> |
| 11 | #include <armnn/IRuntime.hpp> |
| 12 | #include <armnnDeserializer/IDeserializer.hpp> |
| 13 | #include <armnn/utility/IgnoreUnused.hpp> |
| 14 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 15 | #include <doctest/doctest.h> |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 16 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 17 | TEST_SUITE("SerializerTests") |
| 18 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 19 | struct ComparisonModel |
| 20 | { |
| 21 | ComparisonModel(const std::string& layerName, |
| 22 | const armnn::TensorInfo& inputInfo, |
| 23 | const armnn::TensorInfo& outputInfo, |
| 24 | armnn::ComparisonDescriptor& descriptor) |
| 25 | : m_network(armnn::INetwork::Create()) |
| 26 | { |
| 27 | armnn::IConnectableLayer* const inputLayer0 = m_network->AddInputLayer(0); |
| 28 | armnn::IConnectableLayer* const inputLayer1 = m_network->AddInputLayer(1); |
| 29 | armnn::IConnectableLayer* const equalLayer = m_network->AddComparisonLayer(descriptor, layerName.c_str()); |
| 30 | armnn::IConnectableLayer* const outputLayer = m_network->AddOutputLayer(0); |
| 31 | |
| 32 | inputLayer0->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(0)); |
| 33 | inputLayer1->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(1)); |
| 34 | equalLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 35 | |
| 36 | inputLayer0->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 37 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 38 | equalLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 39 | } |
| 40 | |
| 41 | armnn::INetworkPtr m_network; |
| 42 | }; |
| 43 | |
| 44 | class ComparisonLayerVerifier : public LayerVerifierBase |
| 45 | { |
| 46 | public: |
| 47 | ComparisonLayerVerifier(const std::string& layerName, |
| 48 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 49 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 50 | const armnn::ComparisonDescriptor& descriptor) |
| 51 | : LayerVerifierBase(layerName, inputInfos, outputInfos) |
| 52 | , m_Descriptor (descriptor) {} |
| 53 | |
| 54 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 55 | const armnn::BaseDescriptor& descriptor, |
| 56 | const std::vector<armnn::ConstTensor>& constants, |
| 57 | const char* name, |
| 58 | const armnn::LayerBindingId id = 0) override |
| 59 | { |
| 60 | armnn::IgnoreUnused(descriptor, constants, id); |
| 61 | switch (layer->GetType()) |
| 62 | { |
| 63 | case armnn::LayerType::Input: break; |
| 64 | case armnn::LayerType::Output: break; |
| 65 | case armnn::LayerType::Comparison: |
| 66 | { |
| 67 | VerifyNameAndConnections(layer, name); |
| 68 | const armnn::ComparisonDescriptor& layerDescriptor = |
| 69 | static_cast<const armnn::ComparisonDescriptor&>(descriptor); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 70 | CHECK(layerDescriptor.m_Operation == m_Descriptor.m_Operation); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 71 | break; |
| 72 | } |
| 73 | default: |
| 74 | { |
| 75 | throw armnn::Exception("Unexpected layer type in Comparison test model"); |
| 76 | } |
| 77 | } |
| 78 | } |
| 79 | |
| 80 | private: |
| 81 | armnn::ComparisonDescriptor m_Descriptor; |
| 82 | }; |
| 83 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 84 | TEST_CASE("SerializeEqual") |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 85 | { |
| 86 | const std::string layerName("equal"); |
| 87 | |
| 88 | const armnn::TensorShape shape{2, 1, 2, 4}; |
| 89 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Float32); |
| 90 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Boolean); |
| 91 | |
| 92 | armnn::ComparisonDescriptor descriptor (armnn::ComparisonOperation::Equal); |
| 93 | |
| 94 | ComparisonModel model(layerName, inputInfo, outputInfo, descriptor); |
| 95 | |
| 96 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*model.m_network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 97 | CHECK(deserializedNetwork); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 98 | |
| 99 | ComparisonLayerVerifier verifier(layerName, { inputInfo, inputInfo }, { outputInfo }, descriptor); |
| 100 | deserializedNetwork->ExecuteStrategy(verifier); |
| 101 | } |
| 102 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 103 | TEST_CASE("SerializeGreater") |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 104 | { |
| 105 | const std::string layerName("greater"); |
| 106 | |
| 107 | const armnn::TensorShape shape{2, 1, 2, 4}; |
| 108 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Float32); |
| 109 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Boolean); |
| 110 | |
| 111 | armnn::ComparisonDescriptor descriptor (armnn::ComparisonOperation::Greater); |
| 112 | |
| 113 | ComparisonModel model(layerName, inputInfo, outputInfo, descriptor); |
| 114 | |
| 115 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*model.m_network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 116 | CHECK(deserializedNetwork); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 117 | |
| 118 | ComparisonLayerVerifier verifier(layerName, { inputInfo, inputInfo }, { outputInfo }, descriptor); |
| 119 | deserializedNetwork->ExecuteStrategy(verifier); |
| 120 | } |
| 121 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 122 | } |