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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "armnn/ArmNN.hpp"
#include "armnn/Utils.hpp"
#include "armnn/INetwork.hpp"
#include "armnnTfParser/TfParser.hpp"
#include "../Cifar10Database.hpp"
#include "../InferenceTest.hpp"
#include "../InferenceModel.hpp"
#include <cxxopts/cxxopts.hpp>
#include <iostream>
#include <chrono>
#include <vector>
#include <array>
using namespace std;
using namespace std::chrono;
using namespace armnn::test;
int main(int argc, char* argv[])
{
#ifdef NDEBUG
armnn::LogSeverity level = armnn::LogSeverity::Info;
#else
armnn::LogSeverity level = armnn::LogSeverity::Debug;
#endif
try
{
// Configures logging for both the ARMNN library and this test program.
armnn::ConfigureLogging(true, true, level);
std::vector<armnn::BackendId> computeDevice;
std::string modelDir;
std::string dataDir;
const std::string backendsMessage = "Which device to run layers on by default. Possible choices: "
+ armnn::BackendRegistryInstance().GetBackendIdsAsString();
cxxopts::Options in_options("MultipleNetworksCifar10",
"Run multiple networks inference tests using Cifar-10 data.");
try
{
// Adds generic options needed for all inference tests.
in_options.add_options()
("h,help", "Display help messages")
("m,model-dir", "Path to directory containing the Cifar10 model file",
cxxopts::value<std::string>(modelDir))
("c,compute", backendsMessage.c_str(),
cxxopts::value<std::vector<armnn::BackendId>>(computeDevice)->default_value("CpuAcc,CpuRef"))
("d,data-dir", "Path to directory containing the Cifar10 test data",
cxxopts::value<std::string>(dataDir));
auto result = in_options.parse(argc, argv);
if(result.count("help") > 0)
{
std::cout << in_options.help() << std::endl;
return EXIT_FAILURE;
}
//ensure mandatory parameters given
std::string mandatorySingleParameters[] = {"model-dir", "data-dir"};
for (auto param : mandatorySingleParameters)
{
if(result.count(param) > 0)
{
std::string dir = result[param].as<std::string>();
if(!ValidateDirectory(dir)) {
return EXIT_FAILURE;
}
} else {
std::cerr << "Parameter \'--" << param << "\' is required but missing." << std::endl;
return EXIT_FAILURE;
}
}
}
catch (const cxxopts::OptionException& e)
{
std::cerr << e.what() << std::endl << in_options.help() << std::endl;
return EXIT_FAILURE;
}
fs::path modelPath = fs::path(modelDir + "/cifar10_tf.prototxt");
// Create runtime
// This will also load dynamic backend in case that the dynamic backend path is specified
armnn::IRuntime::CreationOptions options;
armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options));
// Check if the requested backend are all valid
std::string invalidBackends;
if (!CheckRequestedBackendsAreValid(computeDevice, armnn::Optional<std::string&>(invalidBackends)))
{
ARMNN_LOG(fatal) << "The list of preferred devices contains invalid backend IDs: "
<< invalidBackends;
return EXIT_FAILURE;
}
// Loads networks.
armnn::Status status;
struct Net
{
Net(armnn::NetworkId netId,
const std::pair<armnn::LayerBindingId, armnn::TensorInfo>& in,
const std::pair<armnn::LayerBindingId, armnn::TensorInfo>& out)
: m_Network(netId)
, m_InputBindingInfo(in)
, m_OutputBindingInfo(out)
{}
armnn::NetworkId m_Network;
std::pair<armnn::LayerBindingId, armnn::TensorInfo> m_InputBindingInfo;
std::pair<armnn::LayerBindingId, armnn::TensorInfo> m_OutputBindingInfo;
};
std::vector<Net> networks;
armnnTfParser::ITfParserPtr parser(armnnTfParser::ITfParser::Create());
const int networksCount = 4;
for (int i = 0; i < networksCount; ++i)
{
// Creates a network from a file on the disk.
armnn::INetworkPtr network = parser->CreateNetworkFromBinaryFile(modelPath.c_str(), {}, { "prob" });
// Optimizes the network.
armnn::IOptimizedNetworkPtr optimizedNet(nullptr, nullptr);
try
{
optimizedNet = armnn::Optimize(*network, computeDevice, runtime->GetDeviceSpec());
}
catch (const armnn::Exception& e)
{
std::stringstream message;
message << "armnn::Exception ("<<e.what()<<") caught from optimize.";
ARMNN_LOG(fatal) << message.str();
return EXIT_FAILURE;
}
// Loads the network into the runtime.
armnn::NetworkId networkId;
status = runtime->LoadNetwork(networkId, std::move(optimizedNet));
if (status == armnn::Status::Failure)
{
ARMNN_LOG(fatal) << "armnn::IRuntime: Failed to load network";
return EXIT_FAILURE;
}
networks.emplace_back(networkId,
parser->GetNetworkInputBindingInfo("data"),
parser->GetNetworkOutputBindingInfo("prob"));
}
// Loads a test case and tests inference.
if (!ValidateDirectory(dataDir))
{
return EXIT_FAILURE;
}
Cifar10Database cifar10(dataDir);
for (unsigned int i = 0; i < 3; ++i)
{
// Loads test case data (including image data).
std::unique_ptr<Cifar10Database::TTestCaseData> testCaseData = cifar10.GetTestCaseData(i);
// Tests inference.
std::vector<TContainer> outputs;
outputs.reserve(networksCount);
for (unsigned int j = 0; j < networksCount; ++j)
{
outputs.push_back(std::vector<float>(10));
}
for (unsigned int k = 0; k < networksCount; ++k)
{
std::vector<armnn::BindingPointInfo> inputBindings = { networks[k].m_InputBindingInfo };
std::vector<armnn::BindingPointInfo> outputBindings = { networks[k].m_OutputBindingInfo };
std::vector<TContainer> inputDataContainers = { testCaseData->m_InputImage };
std::vector<TContainer> outputDataContainers = { outputs[k] };
status = runtime->EnqueueWorkload(networks[k].m_Network,
armnnUtils::MakeInputTensors(inputBindings, inputDataContainers),
armnnUtils::MakeOutputTensors(outputBindings, outputDataContainers));
if (status == armnn::Status::Failure)
{
ARMNN_LOG(fatal) << "armnn::IRuntime: Failed to enqueue workload";
return EXIT_FAILURE;
}
}
// Compares outputs.
std::vector<float> output0 = mapbox::util::get<std::vector<float>>(outputs[0]);
for (unsigned int k = 1; k < networksCount; ++k)
{
std::vector<float> outputK = mapbox::util::get<std::vector<float>>(outputs[k]);
if (!std::equal(output0.begin(), output0.end(), outputK.begin(), outputK.end()))
{
ARMNN_LOG(error) << "Multiple networks inference failed!";
return EXIT_FAILURE;
}
}
}
ARMNN_LOG(info) << "Multiple networks inference ran successfully!";
return EXIT_SUCCESS;
}
catch (const armnn::Exception& e)
{
// Coverity fix: BOOST_LOG_TRIVIAL (typically used to report errors) may throw an
// exception of type std::length_error.
// Using stderr instead in this context as there is no point in nesting try-catch blocks here.
std::cerr << "Armnn Error: " << e.what() << std::endl;
return EXIT_FAILURE;
}
catch (const std::exception& e)
{
// Coverity fix: various boost exceptions can be thrown by methods called by this test.
std::cerr << "WARNING: MultipleNetworksCifar10: An error has occurred when running the "
"multiple networks inference tests: " << e.what() << std::endl;
return EXIT_FAILURE;
}
}
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