From 3b278e9261bd0de67c82f7d6c36731f118124f52 Mon Sep 17 00:00:00 2001
From: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Date: Fri, 12 Oct 2018 13:00:55 +0100
Subject: IVGCVSW-1938: Move backend-specific source files to the corresponding
 backend

Change-Id: I558a9a007604afc55e536d877f8da7d0215cc9c3
---
 src/backends/test/MemCopyTestImpl.hpp | 84 +++++++++++++++++++++++++++++++++++
 1 file changed, 84 insertions(+)
 create mode 100644 src/backends/test/MemCopyTestImpl.hpp

(limited to 'src/backends/test/MemCopyTestImpl.hpp')

diff --git a/src/backends/test/MemCopyTestImpl.hpp b/src/backends/test/MemCopyTestImpl.hpp
new file mode 100644
index 0000000000..dab7f47915
--- /dev/null
+++ b/src/backends/test/MemCopyTestImpl.hpp
@@ -0,0 +1,84 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#pragma once
+
+#include "LayerTests.hpp"
+#include "TensorCopyUtils.hpp"
+#include "WorkloadTestUtils.hpp"
+
+#include <armnn/test/TensorHelpers.hpp>
+
+#include <boost/multi_array.hpp>
+
+namespace
+{
+
+LayerTestResult<float, 4> MemCopyTest(armnn::IWorkloadFactory& srcWorkloadFactory,
+                                      armnn::IWorkloadFactory& dstWorkloadFactory,
+                                      bool withSubtensors)
+{
+    const std::array<unsigned int, 4> shapeData = { { 1u, 1u, 6u, 5u } };
+    const armnn::TensorShape tensorShape(4, shapeData.data());
+    const armnn::TensorInfo tensorInfo(tensorShape, armnn::DataType::Float32);
+    boost::multi_array<float, 4> inputData = MakeTensor<float, 4>(tensorInfo, std::vector<float>(
+        {
+            1.0f, 2.0f, 3.0f, 4.0f, 5.0f,
+
+            6.0f, 7.0f, 8.0f, 9.0f, 10.0f,
+
+            11.0f, 12.0f, 13.0f, 14.0f, 15.0f,
+
+            16.0f, 17.0f, 18.0f, 19.0f, 20.0f,
+
+            21.0f, 22.0f, 23.0f, 24.0f, 25.0f,
+
+            26.0f, 27.0f, 28.0f, 29.0f, 30.0f,
+        })
+    );
+
+    LayerTestResult<float, 4> ret(tensorInfo);
+    ret.outputExpected = inputData;
+
+    boost::multi_array<float, 4> outputData(shapeData);
+
+    auto inputTensorHandle = srcWorkloadFactory.CreateTensorHandle(tensorInfo);
+    auto outputTensorHandle = dstWorkloadFactory.CreateTensorHandle(tensorInfo);
+
+    AllocateAndCopyDataToITensorHandle(inputTensorHandle.get(), inputData.data());
+    outputTensorHandle->Allocate();
+
+    armnn::MemCopyQueueDescriptor memCopyQueueDesc;
+    armnn::WorkloadInfo workloadInfo;
+
+    const unsigned int origin[4] = {};
+
+    auto workloadInput = (withSubtensors && srcWorkloadFactory.SupportsSubTensors())
+                         ? srcWorkloadFactory.CreateSubTensorHandle(*inputTensorHandle, tensorShape, origin)
+                         : std::move(inputTensorHandle);
+    auto workloadOutput = (withSubtensors && dstWorkloadFactory.SupportsSubTensors())
+                          ? dstWorkloadFactory.CreateSubTensorHandle(*outputTensorHandle, tensorShape, origin)
+                          : std::move(outputTensorHandle);
+
+    AddInputToWorkload(memCopyQueueDesc, workloadInfo, tensorInfo, workloadInput.get());
+    AddOutputToWorkload(memCopyQueueDesc, workloadInfo, tensorInfo, workloadOutput.get());
+
+    dstWorkloadFactory.CreateMemCopy(memCopyQueueDesc, workloadInfo)->Execute();
+
+    CopyDataFromITensorHandle(outputData.data(), workloadOutput.get());
+    ret.output = outputData;
+
+    return ret;
+}
+
+template<typename SrcWorkloadFactory, typename DstWorkloadFactory>
+LayerTestResult<float, 4> MemCopyTest(bool withSubtensors)
+{
+    SrcWorkloadFactory srcWorkloadFactory;
+    DstWorkloadFactory dstWorkloadFactory;
+
+    return MemCopyTest(srcWorkloadFactory, dstWorkloadFactory, withSubtensors);
+}
+
+} // anonymous namespace
-- 
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