| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include <armnn/Descriptors.hpp> |
| #include <armnn/IRuntime.hpp> |
| #include <armnn/INetwork.hpp> |
| #include <Runtime.hpp> |
| #include <armnn/TypesUtils.hpp> |
| |
| #include <HeapProfiling.hpp> |
| #include <LeakChecking.hpp> |
| |
| #ifdef WITH_VALGRIND |
| #include <valgrind/memcheck.h> |
| #endif |
| |
| #include <boost/test/unit_test.hpp> |
| |
| namespace armnn |
| { |
| |
| void RuntimeLoadedNetworksReserve(armnn::Runtime* runtime) |
| { |
| runtime->m_LoadedNetworks.reserve(1); |
| } |
| |
| } |
| |
| BOOST_AUTO_TEST_SUITE(Runtime) |
| |
| BOOST_AUTO_TEST_CASE(RuntimeUnloadNetwork) |
| { |
| // build 2 mock-networks and load them into the runtime |
| armnn::IRuntime::CreationOptions options; |
| armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options)); |
| |
| // Mock network 1. |
| armnn::NetworkId networkIdentifier1 = 1; |
| armnn::INetworkPtr mockNetwork1(armnn::INetwork::Create()); |
| mockNetwork1->AddInputLayer(0, "test layer"); |
| std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; |
| runtime->LoadNetwork(networkIdentifier1, Optimize(*mockNetwork1, backends, runtime->GetDeviceSpec())); |
| |
| // Mock network 2. |
| armnn::NetworkId networkIdentifier2 = 2; |
| armnn::INetworkPtr mockNetwork2(armnn::INetwork::Create()); |
| mockNetwork2->AddInputLayer(0, "test layer"); |
| runtime->LoadNetwork(networkIdentifier2, Optimize(*mockNetwork2, backends, runtime->GetDeviceSpec())); |
| |
| // Unloads one by its networkID. |
| BOOST_TEST(runtime->UnloadNetwork(networkIdentifier1) == armnn::Status::Success); |
| |
| BOOST_TEST(runtime->UnloadNetwork(networkIdentifier1) == armnn::Status::Failure); |
| } |
| |
| // Note: the current builds we don't do valgrind and gperftools based leak checking at the same |
| // time, so in practice WITH_VALGRIND and ARMNN_LEAK_CHECKING_ENABLED are exclusive. The |
| // valgrind tests can stay for x86 builds, but on hikey Valgrind is just way too slow |
| // to be integrated into the CI system. |
| |
| #ifdef ARMNN_LEAK_CHECKING_ENABLED |
| |
| struct DisableGlobalLeakChecking |
| { |
| DisableGlobalLeakChecking() |
| { |
| ARMNN_LOCAL_LEAK_CHECKING_ONLY(); |
| } |
| }; |
| |
| BOOST_GLOBAL_FIXTURE(DisableGlobalLeakChecking); |
| |
| BOOST_AUTO_TEST_CASE(RuntimeHeapMemoryUsageSanityChecks) |
| { |
| BOOST_TEST(ARMNN_LEAK_CHECKER_IS_ACTIVE()); |
| { |
| ARMNN_SCOPED_LEAK_CHECKER("Sanity_Check_Outer"); |
| { |
| ARMNN_SCOPED_LEAK_CHECKER("Sanity_Check_Inner"); |
| BOOST_TEST(ARMNN_NO_LEAKS_IN_SCOPE() == true); |
| std::unique_ptr<char[]> dummyAllocation(new char[1000]); |
| BOOST_CHECK_MESSAGE(ARMNN_NO_LEAKS_IN_SCOPE() == false, |
| "A leak of 1000 bytes is expected here. " |
| "Please make sure environment variable: HEAPCHECK=draconian is set!"); |
| BOOST_TEST(ARMNN_BYTES_LEAKED_IN_SCOPE() == 1000); |
| BOOST_TEST(ARMNN_OBJECTS_LEAKED_IN_SCOPE() == 1); |
| } |
| BOOST_TEST(ARMNN_NO_LEAKS_IN_SCOPE()); |
| BOOST_TEST(ARMNN_BYTES_LEAKED_IN_SCOPE() == 0); |
| BOOST_TEST(ARMNN_OBJECTS_LEAKED_IN_SCOPE() == 0); |
| } |
| } |
| |
| #endif // ARMNN_LEAK_CHECKING_ENABLED |
| |
| // Note: this part of the code is due to be removed when we fully trust the gperftools based results. |
| #ifdef WITH_VALGRIND |
| // Run with the following command to get all the amazing output (in the devenv/build folder) :) |
| // valgrind --leak-check=full --show-leak-kinds=all --log-file=Valgrind_Memcheck_Leak_Report.txt armnn/test/UnitTests |
| BOOST_AUTO_TEST_CASE(RuntimeMemoryLeak) |
| { |
| // From documentation: |
| |
| // This means that no pointer to the block can be found. The block is classified as "lost", |
| // because the programmer could not possibly have freed it at program exit, since no pointer to it exists. |
| unsigned long leakedBefore = 0; |
| unsigned long leakedAfter = 0; |
| |
| // A start-pointer or chain of start-pointers to the block is found. Since the block is still pointed at, |
| // the programmer could, at least in principle, have freed it before program exit. |
| // We want to test this in case memory is not freed as early as it could have been. |
| unsigned long reachableBefore = 0; |
| unsigned long reachableAfter = 0; |
| |
| // Needed as out params but we don't test them. |
| unsigned long dubious = 0; |
| unsigned long suppressed = 0; |
| |
| armnn::NetworkId networkIdentifier1 = 1; |
| |
| // ensure that runtime is large enough before checking for memory leaks |
| // otherwise when loading the network it will automatically reserve memory that won't be released until destruction |
| armnn::IRuntime::CreationOptions options; |
| armnn::Runtime runtime(options); |
| armnn::RuntimeLoadedNetworksReserve(&runtime); |
| |
| { |
| std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; |
| |
| std::unique_ptr<armnn::Network> mockNetwork1 = std::make_unique<armnn::Network>(); |
| mockNetwork1->AddInputLayer(0, "test layer"); |
| |
| // Warm-up load/unload pair to put the runtime in a stable state (memory-wise). |
| runtime.LoadNetwork(networkIdentifier1, Optimize(*mockNetwork1, backends, runtime.GetDeviceSpec())); |
| runtime.UnloadNetwork(networkIdentifier1); |
| |
| // Checks for leaks before we load the network and record them so that we can see the delta after unloading. |
| VALGRIND_DO_QUICK_LEAK_CHECK; |
| VALGRIND_COUNT_LEAKS(leakedBefore, dubious, reachableBefore, suppressed); |
| |
| // The actual test. |
| runtime.LoadNetwork(networkIdentifier1, Optimize(*mockNetwork1, backends, runtime.GetDeviceSpec())); |
| runtime.UnloadNetwork(networkIdentifier1); |
| |
| VALGRIND_DO_ADDED_LEAK_CHECK; |
| VALGRIND_COUNT_LEAKS(leakedAfter, dubious, reachableAfter, suppressed); |
| } |
| |
| // If we're not running under Valgrind, these vars will have been initialised to 0, so this will always pass. |
| BOOST_TEST(leakedBefore == leakedAfter); |
| BOOST_TEST(reachableBefore == reachableAfter); |
| |
| // These are needed because VALGRIND_COUNT_LEAKS is a macro that assigns to the parameters |
| // so they are assigned to, but still considered unused, causing a warning. |
| boost::ignore_unused(dubious); |
| boost::ignore_unused(suppressed); |
| } |
| #endif // WITH_VALGRIND |
| |
| BOOST_AUTO_TEST_CASE(RuntimeCpuRef) |
| { |
| using namespace armnn; |
| |
| // Create runtime in which test will run |
| armnn::IRuntime::CreationOptions options; |
| armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options)); |
| |
| // build up the structure of the network |
| INetworkPtr net(INetwork::Create()); |
| |
| IConnectableLayer* input = net->AddInputLayer(0); |
| |
| // This layer configuration isn't supported by CpuAcc, should be fall back to CpuRef. |
| NormalizationDescriptor descriptor; |
| IConnectableLayer* normalize = net->AddNormalizationLayer(descriptor); |
| |
| IConnectableLayer* output = net->AddOutputLayer(0); |
| |
| input->GetOutputSlot(0).Connect(normalize->GetInputSlot(0)); |
| normalize->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| |
| input->GetOutputSlot(0).SetTensorInfo(TensorInfo({ 1, 1, 4, 4 }, DataType::Float32)); |
| normalize->GetOutputSlot(0).SetTensorInfo(TensorInfo({ 1, 1, 4, 4 }, DataType::Float32)); |
| |
| // optimize the network |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| IOptimizedNetworkPtr optNet = Optimize(*net, backends, runtime->GetDeviceSpec()); |
| |
| // Load it into the runtime. It should success. |
| armnn::NetworkId netId; |
| BOOST_TEST(runtime->LoadNetwork(netId, std::move(optNet)) == Status::Success); |
| } |
| |
| BOOST_AUTO_TEST_CASE(RuntimeFallbackToCpuRef) |
| { |
| using namespace armnn; |
| |
| // Create runtime in which test will run |
| armnn::IRuntime::CreationOptions options; |
| armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options)); |
| |
| // build up the structure of the network |
| INetworkPtr net(INetwork::Create()); |
| |
| IConnectableLayer* input = net->AddInputLayer(0); |
| |
| // This layer configuration isn't supported by CpuAcc, should be fall back to CpuRef. |
| NormalizationDescriptor descriptor; |
| IConnectableLayer* normalize = net->AddNormalizationLayer(descriptor); |
| |
| IConnectableLayer* output = net->AddOutputLayer(0); |
| |
| input->GetOutputSlot(0).Connect(normalize->GetInputSlot(0)); |
| normalize->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| |
| input->GetOutputSlot(0).SetTensorInfo(TensorInfo({ 1, 1, 4, 4 }, DataType::Float32)); |
| normalize->GetOutputSlot(0).SetTensorInfo(TensorInfo({ 1, 1, 4, 4 }, DataType::Float32)); |
| |
| // Allow fallback to CpuRef. |
| std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc, armnn::Compute::CpuRef }; |
| // optimize the network |
| IOptimizedNetworkPtr optNet = Optimize(*net, backends, runtime->GetDeviceSpec()); |
| |
| // Load it into the runtime. It should succeed. |
| armnn::NetworkId netId; |
| BOOST_TEST(runtime->LoadNetwork(netId, std::move(optNet)) == Status::Success); |
| } |
| |
| BOOST_AUTO_TEST_CASE(IVGCVSW_1929_QuantizedSoftmaxIssue) |
| { |
| // Test for issue reported by Chris Nix in https://jira.arm.com/browse/IVGCVSW-1929 |
| using namespace armnn; |
| |
| // Create runtime in which test will run |
| armnn::IRuntime::CreationOptions options; |
| armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options)); |
| |
| // build up the structure of the network |
| INetworkPtr net(INetwork::Create()); |
| armnn::IConnectableLayer* input = net->AddInputLayer( |
| 0, |
| "input" |
| ); |
| armnn::IConnectableLayer* softmax = net->AddSoftmaxLayer( |
| armnn::SoftmaxDescriptor(), |
| "softmax" |
| ); |
| armnn::IConnectableLayer* output = net->AddOutputLayer( |
| 0, |
| "output" |
| ); |
| |
| input->GetOutputSlot(0).Connect(softmax->GetInputSlot(0)); |
| softmax->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| |
| input->GetOutputSlot(0).SetTensorInfo(armnn::TensorInfo( |
| armnn::TensorShape({ 1, 5 }), |
| armnn::DataType::QuantisedAsymm8, |
| 1.0f/255, |
| 0 |
| )); |
| |
| softmax->GetOutputSlot(0).SetTensorInfo(armnn::TensorInfo( |
| armnn::TensorShape({ 1, 5 }), |
| armnn::DataType::QuantisedAsymm8 |
| )); |
| |
| std::vector<armnn::BackendId> backends = {armnn::Compute::CpuRef}; |
| std::vector<std::string> errMessages; |
| armnn::IOptimizedNetworkPtr optNet = Optimize( |
| *net, |
| backends, |
| runtime->GetDeviceSpec(), |
| OptimizerOptions(), |
| errMessages |
| ); |
| |
| BOOST_TEST(errMessages.size() == 1); |
| BOOST_TEST(errMessages[0] == |
| "ERROR: output 0 of layer Softmax (softmax) is of type " |
| "Quantized 8 bit but its scale parameter has not been set"); |
| BOOST_TEST(!optNet); |
| } |
| |
| BOOST_AUTO_TEST_SUITE_END() |