From bfeb2711da172b26931c58af7b15d434ef49e24e Mon Sep 17 00:00:00 2001
From: Ferran Balaguer <ferran.balaguer@arm.com>
Date: Wed, 7 Aug 2019 15:14:56 +0100
Subject: IVGCVSW-3606 Support memory import for Reference backend

Signed-off-by: Ferran Balaguer <ferran.balaguer@arm.com>
Change-Id: I94bd191f88e0911ad4e4727610e81cd7afa95512
---
 src/backends/reference/test/RefEndToEndTests.cpp | 72 ++++++++++++++++++++++++
 1 file changed, 72 insertions(+)

(limited to 'src/backends/reference/test/RefEndToEndTests.cpp')

diff --git a/src/backends/reference/test/RefEndToEndTests.cpp b/src/backends/reference/test/RefEndToEndTests.cpp
index f81f1a708f..31e9b339ec 100644
--- a/src/backends/reference/test/RefEndToEndTests.cpp
+++ b/src/backends/reference/test/RefEndToEndTests.cpp
@@ -322,6 +322,78 @@ BOOST_AUTO_TEST_CASE(TrivialMin)
     BOOST_TEST(outputData[3] == 2);
 }
 
+BOOST_AUTO_TEST_CASE(RefNoCopyWorkloads)
+{
+    using namespace armnn;
+
+    // Create runtime in which test will run
+    IRuntime::CreationOptions options;
+    IRuntimePtr runtime(armnn::IRuntime::Create(options));
+
+    // build up the structure of the network
+    INetworkPtr net(INetwork::Create());
+
+    IConnectableLayer* input = net->AddInputLayer(0);
+
+    NormalizationDescriptor descriptor;
+    IConnectableLayer* norm = net->AddNormalizationLayer(descriptor);
+
+    IConnectableLayer* output = net->AddOutputLayer(0);
+
+    input->GetOutputSlot(0).Connect(norm->GetInputSlot(0));
+    norm->GetOutputSlot(0).Connect(output->GetInputSlot(0));
+
+    input->GetOutputSlot(0).SetTensorInfo(TensorInfo({ 1, 1, 4, 1 }, DataType::Float32));
+    norm->GetOutputSlot(0).SetTensorInfo(TensorInfo({ 1, 1, 4, 1 }, DataType::Float32));
+
+    // Optimize the network
+    IOptimizedNetworkPtr optNet = Optimize(*net, defaultBackends, runtime->GetDeviceSpec());
+
+    // Loads it into the runtime.
+    NetworkId netId;
+    runtime->LoadNetwork(netId, std::move(optNet));
+
+    // Creates structures for input & output
+    std::vector<float> inputData
+    {
+        1.0f, 2.0f, 3.0f, 4.0f
+    };
+
+    std::vector<float> outputData(4);
+
+    InputTensors inputTensors
+    {
+        {0,armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 0), inputData.data())},
+    };
+    OutputTensors outputTensors
+    {
+        {0,armnn::Tensor(runtime->GetOutputTensorInfo(netId, 0), outputData.data())}
+    };
+
+    // The result of the inference is not important, just the fact that there
+    // should not be CopyMemGeneric workloads.
+    runtime->GetProfiler(netId)->EnableProfiling(true);
+
+    // Do the inference
+    runtime->EnqueueWorkload(netId, inputTensors, outputTensors);
+
+    // Retrieve the Profiler.Print() output to get the workload execution
+    ProfilerManager& profilerManager = armnn::ProfilerManager::GetInstance();
+    std::stringstream ss;
+    profilerManager.GetProfiler()->Print(ss);;
+    std::string dump = ss.str();
+
+    // Contains RefNormalizationWorkload
+    std::size_t found = dump.find("RefNormalizationWorkload");
+    BOOST_TEST(found != std::string::npos);
+    // Contains SyncMemGeneric
+    found = dump.find("SyncMemGeneric");
+    BOOST_TEST(found != std::string::npos);
+    // No contains CopyMemGeneric
+    found = dump.find("CopyMemGeneric");
+    BOOST_TEST(found == std::string::npos);
+}
+
 BOOST_AUTO_TEST_CASE(RefEqualSimpleEndToEndTest)
 {
     const std::vector<uint8_t> expectedOutput({ 1, 1, 1, 1,  0, 0, 0, 0,
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