Mike Kelly | af48401 | 2019-02-20 16:53:11 +0000 | [diff] [blame^] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include <armnnDeserializer/IDeserializer.hpp> |
| 7 | #include <armnn/ArmNN.hpp> |
| 8 | #include <armnn/INetwork.hpp> |
| 9 | #include "../Serializer.hpp" |
| 10 | #include <sstream> |
| 11 | #include <boost/test/unit_test.hpp> |
| 12 | |
| 13 | BOOST_AUTO_TEST_SUITE(SerializerTests) |
| 14 | |
| 15 | BOOST_AUTO_TEST_CASE(ActivationSerialization) |
| 16 | { |
| 17 | armnnDeserializer::IDeserializerPtr parser = armnnDeserializer::IDeserializer::Create(); |
| 18 | |
| 19 | armnn::TensorInfo inputInfo(armnn::TensorShape({1, 2, 2, 1}), armnn::DataType::Float32, 1.0f, 0); |
| 20 | armnn::TensorInfo outputInfo(armnn::TensorShape({1, 2, 2, 1}), armnn::DataType::Float32, 4.0f, 0); |
| 21 | |
| 22 | // Construct network |
| 23 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 24 | |
| 25 | armnn::ActivationDescriptor descriptor; |
| 26 | descriptor.m_Function = armnn::ActivationFunction::ReLu; |
| 27 | descriptor.m_A = 0; |
| 28 | descriptor.m_B = 0; |
| 29 | |
| 30 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0, "input"); |
| 31 | armnn::IConnectableLayer* const activationLayer = network->AddActivationLayer(descriptor, "activation"); |
| 32 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0, "output"); |
| 33 | |
| 34 | inputLayer->GetOutputSlot(0).Connect(activationLayer->GetInputSlot(0)); |
| 35 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 36 | |
| 37 | activationLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 38 | activationLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 39 | |
| 40 | armnnSerializer::Serializer serializer; |
| 41 | serializer.Serialize(*network); |
| 42 | |
| 43 | std::stringstream stream; |
| 44 | serializer.SaveSerializedToStream(stream); |
| 45 | |
| 46 | std::string const serializerString{stream.str()}; |
| 47 | std::vector<std::uint8_t> const serializerVector{serializerString.begin(), serializerString.end()}; |
| 48 | |
| 49 | armnn::INetworkPtr deserializedNetwork = parser->CreateNetworkFromBinary(serializerVector); |
| 50 | |
| 51 | armnn::IRuntime::CreationOptions options; // default options |
| 52 | armnn::IRuntimePtr run = armnn::IRuntime::Create(options); |
| 53 | auto deserializedOptimized = Optimize(*deserializedNetwork, { armnn::Compute::CpuRef }, run->GetDeviceSpec()); |
| 54 | |
| 55 | armnn::NetworkId networkIdentifier; |
| 56 | |
| 57 | // Load graph into runtime |
| 58 | run->LoadNetwork(networkIdentifier, std::move(deserializedOptimized)); |
| 59 | |
| 60 | std::vector<float> inputData {0.0f, -5.3f, 42.0f, -42.0f}; |
| 61 | armnn::InputTensors inputTensors |
| 62 | { |
| 63 | {0, armnn::ConstTensor(run->GetInputTensorInfo(networkIdentifier, 0), inputData.data())} |
| 64 | }; |
| 65 | |
| 66 | std::vector<float> expectedOutputData {0.0f, 0.0f, 42.0f, 0.0f}; |
| 67 | |
| 68 | std::vector<float> outputData(4); |
| 69 | armnn::OutputTensors outputTensors |
| 70 | { |
| 71 | {0, armnn::Tensor(run->GetOutputTensorInfo(networkIdentifier, 0), outputData.data())} |
| 72 | }; |
| 73 | run->EnqueueWorkload(networkIdentifier, inputTensors, outputTensors); |
| 74 | BOOST_CHECK_EQUAL_COLLECTIONS(outputData.begin(), outputData.end(), |
| 75 | expectedOutputData.begin(), expectedOutputData.end()); |
| 76 | } |
| 77 | |
| 78 | BOOST_AUTO_TEST_SUITE_END() |