From c26ba759fe67bd14829a84b5abac80f51ca61946 Mon Sep 17 00:00:00 2001
From: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Date: Mon, 22 Oct 2018 13:32:01 +0100
Subject: IVGCVSW-2060: Separate and move backend specific unit tests from the
 src/armnn/test folder to the backends

* Moved backend-specific memory leak checking tests from RuntimeTests.cpp to
  the corresponding backend test folder

Change-Id: I0a7f4ef52c5350c3cebca23b2b4e61a9446ca11f
---
 src/backends/test/RuntimeTestImpl.hpp | 42 +++++++++++++++++++++++++++++++++++
 1 file changed, 42 insertions(+)
 create mode 100644 src/backends/test/RuntimeTestImpl.hpp

(limited to 'src/backends/test')

diff --git a/src/backends/test/RuntimeTestImpl.hpp b/src/backends/test/RuntimeTestImpl.hpp
new file mode 100644
index 0000000000..671f94b0bb
--- /dev/null
+++ b/src/backends/test/RuntimeTestImpl.hpp
@@ -0,0 +1,42 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#pragma once
+
+#include <armnn/ArmNN.hpp>
+#include <armnn/Runtime.hpp>
+
+namespace
+{
+
+inline void CreateAndDropDummyNetwork(const std::vector<armnn::BackendId>& backends, armnn::Runtime& runtime)
+{
+    armnn::NetworkId networkIdentifier;
+    {
+        armnn::TensorInfo inputTensorInfo(armnn::TensorShape({ 7, 7 }), armnn::DataType::Float32);
+        armnn::TensorInfo outputTensorInfo(armnn::TensorShape({ 7, 7 }), armnn::DataType::Float32);
+
+        armnn::INetworkPtr network(armnn::INetwork::Create());
+
+        armnn::IConnectableLayer* input = network->AddInputLayer(0, "input");
+        armnn::IConnectableLayer* layer = network->AddActivationLayer(armnn::ActivationDescriptor(), "test");
+        armnn::IConnectableLayer* output = network->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(*network, backends, runtime.GetDeviceSpec());
+
+        runtime.LoadNetwork(networkIdentifier, std::move(optNet));
+    }
+
+    runtime.UnloadNetwork(networkIdentifier);
+}
+
+} // anonymous namespace
-- 
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