Matthew Sloyan | 80fbcd5 | 2021-01-07 13:28:47 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2020 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include <Filesystem.hpp> |
| 7 | |
| 8 | #include <cl/test/ClContextControlFixture.hpp> |
| 9 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 10 | #include <doctest/doctest.h> |
Matthew Sloyan | 80fbcd5 | 2021-01-07 13:28:47 +0000 | [diff] [blame] | 11 | |
| 12 | #include <fstream> |
| 13 | |
| 14 | namespace |
| 15 | { |
| 16 | |
| 17 | armnn::INetworkPtr CreateNetwork() |
| 18 | { |
| 19 | // Builds up the structure of the network. |
| 20 | armnn::INetworkPtr net(armnn::INetwork::Create()); |
| 21 | |
| 22 | armnn::IConnectableLayer* input = net->AddInputLayer(0, "input"); |
| 23 | armnn::IConnectableLayer* softmax = net->AddSoftmaxLayer(armnn::SoftmaxDescriptor(), "softmax"); |
| 24 | armnn::IConnectableLayer* output = net->AddOutputLayer(0, "output"); |
| 25 | |
| 26 | input->GetOutputSlot(0).Connect(softmax->GetInputSlot(0)); |
| 27 | softmax->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| 28 | |
| 29 | // Sets the input and output tensors |
| 30 | armnn::TensorInfo inputTensorInfo(armnn::TensorShape({1, 5}), armnn::DataType::QAsymmU8, 10000.0f, 1); |
| 31 | input->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 32 | |
| 33 | armnn::TensorInfo outputTensorInfo(armnn::TensorShape({1, 5}), armnn::DataType::QAsymmU8, 1.0f/255.0f, 0); |
| 34 | softmax->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 35 | |
| 36 | return net; |
| 37 | } |
| 38 | |
| 39 | void RunInference(armnn::NetworkId& netId, armnn::IRuntimePtr& runtime, std::vector<uint8_t>& outputData) |
| 40 | { |
| 41 | // Creates structures for input & output. |
| 42 | std::vector<uint8_t> inputData |
| 43 | { |
| 44 | 1, 10, 3, 200, 5 // Some inputs - one of which is sufficiently larger than the others to saturate softmax. |
| 45 | }; |
| 46 | |
| 47 | armnn::InputTensors inputTensors |
| 48 | { |
| 49 | {0, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 0), inputData.data())} |
| 50 | }; |
| 51 | |
| 52 | armnn::OutputTensors outputTensors |
| 53 | { |
| 54 | {0, armnn::Tensor(runtime->GetOutputTensorInfo(netId, 0), outputData.data())} |
| 55 | }; |
| 56 | |
| 57 | // Run inference. |
| 58 | runtime->EnqueueWorkload(netId, inputTensors, outputTensors); |
| 59 | } |
| 60 | |
| 61 | std::vector<char> ReadBinaryFile(const std::string& binaryFileName) |
| 62 | { |
| 63 | std::ifstream input(binaryFileName, std::ios::binary); |
| 64 | return std::vector<char>(std::istreambuf_iterator<char>(input), {}); |
| 65 | } |
| 66 | |
| 67 | } // anonymous namespace |
| 68 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 69 | TEST_CASE_FIXTURE(ClContextControlFixture, "ClContextSerializerTest") |
Matthew Sloyan | 80fbcd5 | 2021-01-07 13:28:47 +0000 | [diff] [blame] | 70 | { |
| 71 | // Get tmp directory and create blank file. |
| 72 | fs::path filePath = armnnUtils::Filesystem::NamedTempFile("Armnn-CachedNetworkFileTest-TempFile.bin"); |
| 73 | std::string const filePathString{filePath.string()}; |
| 74 | std::ofstream file { filePathString }; |
| 75 | |
| 76 | // Create runtime in which test will run |
| 77 | armnn::IRuntime::CreationOptions options; |
| 78 | armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options)); |
| 79 | |
| 80 | std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc}; |
| 81 | |
| 82 | // Create two networks. |
| 83 | // net1 will serialize and save context to file. |
| 84 | // net2 will deserialize context saved from net1 and load. |
| 85 | armnn::INetworkPtr net1 = CreateNetwork(); |
| 86 | armnn::INetworkPtr net2 = CreateNetwork(); |
| 87 | |
| 88 | // Add specific optimizerOptions to each network. |
| 89 | armnn::OptimizerOptions optimizerOptions1; |
| 90 | armnn::OptimizerOptions optimizerOptions2; |
| 91 | armnn::BackendOptions modelOptions1("GpuAcc", |
| 92 | {{"SaveCachedNetwork", true}, {"CachedNetworkFilePath", filePathString}}); |
| 93 | armnn::BackendOptions modelOptions2("GpuAcc", |
| 94 | {{"SaveCachedNetwork", false}, {"CachedNetworkFilePath", filePathString}}); |
| 95 | optimizerOptions1.m_ModelOptions.push_back(modelOptions1); |
| 96 | optimizerOptions2.m_ModelOptions.push_back(modelOptions2); |
| 97 | |
| 98 | armnn::IOptimizedNetworkPtr optNet1 = armnn::Optimize( |
| 99 | *net1, backends, runtime->GetDeviceSpec(), optimizerOptions1); |
| 100 | armnn::IOptimizedNetworkPtr optNet2 = armnn::Optimize( |
| 101 | *net2, backends, runtime->GetDeviceSpec(), optimizerOptions2); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 102 | CHECK(optNet1); |
| 103 | CHECK(optNet2); |
Matthew Sloyan | 80fbcd5 | 2021-01-07 13:28:47 +0000 | [diff] [blame] | 104 | |
| 105 | // Cached file should be empty until net1 is loaded into runtime. |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 106 | CHECK(fs::is_empty(filePathString)); |
Matthew Sloyan | 80fbcd5 | 2021-01-07 13:28:47 +0000 | [diff] [blame] | 107 | |
| 108 | // Load net1 into the runtime. |
| 109 | armnn::NetworkId netId1; |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 110 | CHECK(runtime->LoadNetwork(netId1, std::move(optNet1)) == armnn::Status::Success); |
Matthew Sloyan | 80fbcd5 | 2021-01-07 13:28:47 +0000 | [diff] [blame] | 111 | |
| 112 | // File should now exist and not be empty. It has been serialized. |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 113 | CHECK(fs::exists(filePathString)); |
Matthew Sloyan | 80fbcd5 | 2021-01-07 13:28:47 +0000 | [diff] [blame] | 114 | std::vector<char> dataSerialized = ReadBinaryFile(filePathString); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 115 | CHECK(dataSerialized.size() != 0); |
Matthew Sloyan | 80fbcd5 | 2021-01-07 13:28:47 +0000 | [diff] [blame] | 116 | |
| 117 | // Load net2 into the runtime using file and deserialize. |
| 118 | armnn::NetworkId netId2; |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 119 | CHECK(runtime->LoadNetwork(netId2, std::move(optNet2)) == armnn::Status::Success); |
Matthew Sloyan | 80fbcd5 | 2021-01-07 13:28:47 +0000 | [diff] [blame] | 120 | |
| 121 | // Run inference and get output data. |
| 122 | std::vector<uint8_t> outputData1(5); |
| 123 | RunInference(netId1, runtime, outputData1); |
| 124 | |
| 125 | std::vector<uint8_t> outputData2(5); |
| 126 | RunInference(netId2, runtime, outputData2); |
| 127 | |
| 128 | // Compare outputs from both networks. |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 129 | CHECK(std::equal(outputData1.begin(), outputData1.end(), outputData2.begin(), outputData2.end())); |
Matthew Sloyan | 80fbcd5 | 2021-01-07 13:28:47 +0000 | [diff] [blame] | 130 | |
| 131 | // Remove temp file created. |
| 132 | fs::remove(filePath); |
| 133 | } |