IVGCVSW-5962 Remove boost::multi_array

 * Replaced all instances of boost::multi_array with flat vectors.
 * Updated LayerTestResult struct with new member variables.
 * Updated CompareTensor function to compare flat vectors and the shape.
 * Removed MakeTensor function from TensorHelpers.hpp.
 * Removed GetTensorShapeAsArray function from LayerTestResult.hpp.
 * Removed boost::array usage.
 * Removed boost::extents usages.
 * Removed boost::random usages.

Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Iccde9d6640b534940292ff048fb80c00b38c4743

1 files changed, 16 insertions, 11 deletions

diff --git a/src/backends/backendsCommon/test/layerTests/FakeQuantizationTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/FakeQuantizationTestImpl.cpp
index 157df99d64..bbe481657d 100644
--- a/src/backends/backendsCommon/test/layerTests/FakeQuantizationTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/FakeQuantizationTestImpl.cpp
@@ -22,16 +22,17 @@ LayerTestResult<float, 2> FakeQuantizationTest(
     constexpr unsigned int width = 2;
     constexpr unsigned int height = 3;
 
-    const armnn::TensorInfo tensorInfo({height, width },
-        armnn::DataType::Float32);
+    const armnn::TensorInfo tensorInfo({ height, width }, armnn::DataType::Float32);
 
-    auto input = MakeTensor<float, 2>(tensorInfo, std::vector<float>({
+    std::vector<float> input =
+    {
        -10.0f, -5.0f,
          0.0f,  5.0f,
         10.0f, 10.0f
-    }));
+    };
 
-    LayerTestResult<float, 2> ret(tensorInfo);
+    std::vector<float> actualOutput(tensorInfo.GetNumElements());
+    std::vector<float> expectedOutput(tensorInfo.GetNumElements());
 
     std::unique_ptr<armnn::ITensorHandle> inputHandle   = tensorHandleFactory.CreateTensorHandle(tensorInfo);
     std::unique_ptr<armnn::ITensorHandle> outputHandle  = tensorHandleFactory.CreateTensorHandle(tensorInfo);
@@ -48,7 +49,7 @@ LayerTestResult<float, 2> FakeQuantizationTest(
     data.m_Parameters.m_Min = min;
     data.m_Parameters.m_Max = max;
 
-    armnn::PassthroughTensorHandle refHandle(tensorInfo, &ret.outputExpected[0][0]);
+    armnn::PassthroughTensorHandle refHandle(tensorInfo, expectedOutput.data());
     armnn::FakeQuantizationQueueDescriptor refData = data;
     armnn::WorkloadInfo refInfo = info;
     SetWorkloadOutput(refData, refInfo, 0, tensorInfo, &refHandle);
@@ -58,18 +59,22 @@ LayerTestResult<float, 2> FakeQuantizationTest(
     inputHandle->Allocate();
     outputHandle->Allocate();
 
-    CopyDataToITensorHandle(inputHandle.get(), &input[0][0]);
+    CopyDataToITensorHandle(inputHandle.get(), input.data());
 
     workload->PostAllocationConfigure();
     workload->Execute();
 
-    CopyDataFromITensorHandle(&ret.output[0][0], outputHandle.get());
+    CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get());
 
-    ret.outputExpected = MakeTensor<float, 2>(tensorInfo, std::vector<float>({
+    expectedOutput =
+    {
         0.0f,     63.0f,
         128.0f,   191.0f,
         255.0f,   255.0f
-    }));
+    };
 
-    return ret;
+    return LayerTestResult<float, 2>(actualOutput,
+                                     expectedOutput,
+                                     outputHandle->GetShape(),
+                                     tensorInfo.GetShape());
 }