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-rw-r--r--src/backends/cl/test/ClRuntimeTests.cpp151
1 files changed, 151 insertions, 0 deletions
diff --git a/src/backends/cl/test/ClRuntimeTests.cpp b/src/backends/cl/test/ClRuntimeTests.cpp
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+++ b/src/backends/cl/test/ClRuntimeTests.cpp
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+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include <armnn/test/RuntimeTests.hpp>
+
+#include <armnnUtils/LeakChecking.hpp>
+
+#include <backends/test/RuntimeTestImpl.hpp>
+
+#include <boost/core/ignore_unused.hpp>
+#include <boost/test/unit_test.hpp>
+
+#ifdef WITH_VALGRIND
+#include <valgrind/memcheck.h>
+#endif
+
+BOOST_AUTO_TEST_SUITE(ClRuntime)
+
+BOOST_AUTO_TEST_CASE(RuntimeValidateGpuDeviceSupportLayerNoFallback)
+{
+ // build up the structure of the network
+ armnn::INetworkPtr net(armnn::INetwork::Create());
+
+ armnn::IConnectableLayer* input = net->AddInputLayer(0);
+ armnn::IConnectableLayer* output = net->AddOutputLayer(0);
+
+ input->GetOutputSlot(0).Connect(output->GetInputSlot(0));
+ input->GetOutputSlot(0).SetTensorInfo(armnn::TensorInfo({ 1, 1, 4, 4 }, armnn::DataType::Float32));
+
+ armnn::IRuntime::CreationOptions options;
+ armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options));
+
+ std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc };
+ armnn::IOptimizedNetworkPtr optNet = armnn::Optimize(*net, backends, runtime->GetDeviceSpec());
+ BOOST_CHECK(optNet);
+
+ // Load it into the runtime. It should success.
+ armnn::NetworkId netId;
+ BOOST_TEST(runtime->LoadNetwork(netId, std::move(optNet)) == armnn::Status::Success);
+}
+
+#ifdef ARMNN_LEAK_CHECKING_ENABLED
+BOOST_AUTO_TEST_CASE(RuntimeMemoryLeaksGpuAcc)
+{
+ BOOST_TEST(ARMNN_LEAK_CHECKER_IS_ACTIVE());
+ armnn::IRuntime::CreationOptions options;
+ armnn::Runtime runtime(options);
+ armnn::RuntimeLoadedNetworksReserve(&runtime);
+
+ std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc};
+ {
+ // Do a warmup of this so we make sure that all one-time
+ // initialization happens before we do the leak checking.
+ CreateAndDropDummyNetwork(backends, runtime);
+ }
+
+ {
+ ARMNN_SCOPED_LEAK_CHECKER("LoadAndUnloadNetworkGpuAcc");
+ BOOST_TEST(ARMNN_NO_LEAKS_IN_SCOPE());
+ // In the second run we check for all remaining memory
+ // in use after the network was unloaded. If there is any
+ // then it will be treated as a memory leak.
+ CreateAndDropDummyNetwork(backends, runtime);
+ BOOST_TEST(ARMNN_NO_LEAKS_IN_SCOPE());
+ BOOST_TEST(ARMNN_BYTES_LEAKED_IN_SCOPE() == 0);
+ BOOST_TEST(ARMNN_OBJECTS_LEAKED_IN_SCOPE() == 0);
+ }
+}
+#endif
+
+// Note: this part of the code is due to be removed when we fully trust the gperftools based results.
+#if defined(WITH_VALGRIND)
+BOOST_AUTO_TEST_CASE(RuntimeMemoryUsage)
+{
+ // 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;
+
+ // 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::NetworkId networkIdentifier;
+ armnn::IRuntime::CreationOptions options;
+ armnn::Runtime runtime(options);
+ armnn::RuntimeLoadedNetworksReserve(&runtime);
+
+ // 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);
+
+ // build a mock-network and load it into the runtime
+ std::vector<armnn::BackendId> backends = {armnn::Compute::GpuAcc};
+ {
+ armnn::TensorInfo inputTensorInfo(armnn::TensorShape({ 7, 7 }), armnn::DataType::Float32);
+ armnn::TensorInfo outputTensorInfo(armnn::TensorShape({ 7, 7 }), armnn::DataType::Float32);
+
+ armnn::INetworkPtr mockNetwork(armnn::INetwork::Create());
+
+ armnn::IConnectableLayer* input = mockNetwork->AddInputLayer(0, "input");
+ armnn::IConnectableLayer* layer = mockNetwork->AddActivationLayer(armnn::ActivationDescriptor(), "test");
+ armnn::IConnectableLayer* output = mockNetwork->AddOutputLayer(0, "output");
+
+ input->GetOutputSlot(0).Connect(layer->GetInputSlot(0));
+ layer->GetOutputSlot(0).Connect(output->GetInputSlot(0));
+
+ // Sets the tensors in the network.
+ input->GetOutputSlot(0).SetTensorInfo(inputTensorInfo);
+ layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo);
+
+ // optimize the network
+ armnn::IOptimizedNetworkPtr optNet = Optimize(*mockNetwork, backends, runtime.GetDeviceSpec());
+
+ runtime.LoadNetwork(networkIdentifier, std::move(optNet));
+ }
+
+ runtime.UnloadNetwork(networkIdentifier);
+
+ 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);
+
+ // Add resonable threshold after and before running valgrind with the ACL clear cache function.
+ // TODO Threshold set to 80k until the root cause of the memory leakage is found and fixed. Revert threshold
+ // value to 1024 when fixed.
+ BOOST_TEST(static_cast<long>(reachableAfter) - static_cast<long>(reachableBefore) < 81920);
+
+ // 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
+
+BOOST_AUTO_TEST_SUITE_END()