Refactor Resize layer tests

* Move implementations to newly created source file
  ResizeTestImpl.cpp, leave only the declarations in
  the header
* Reduce code duplication by extracting common code
  into a generic implementation template

Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: Ib8aa395e5fb4470b26cbe943c177f6b64c860a93

1 files changed, 792 insertions, 0 deletions

diff --git a/src/backends/backendsCommon/test/layerTests/ResizeTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ResizeTestImpl.cpp
new file mode 100644
index 0000000000..895afe06af
--- /dev/null
+++ b/src/backends/backendsCommon/test/layerTests/ResizeTestImpl.cpp
@@ -0,0 +1,792 @@
+//
+// Copyright © 2019 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ResizeTestImpl.hpp"
+
+#include <DataLayoutIndexed.hpp>
+#include <Permute.hpp>
+#include <QuantizeHelper.hpp>
+#include <TensorUtils.hpp>
+
+#include <armnn/ArmNN.hpp>
+
+#include <backendsCommon/test/DataLayoutUtils.hpp>
+#include <backendsCommon/test/TensorCopyUtils.hpp>
+#include <backendsCommon/test/WorkloadTestUtils.hpp>
+
+#include <test/TensorHelpers.hpp>
+
+namespace
+{
+
+struct ResizeTestParams
+{
+    ResizeTestParams()
+        : m_ResizeMethod(armnn::ResizeMethod::Bilinear)
+        , m_DataLayout(armnn::DataLayout::NCHW)
+        , m_InQuantScale(1.0f)
+        , m_InQuantOffset(0)
+        , m_OutQuantScale(1.0f)
+        , m_OutQuantOffset(0) {}
+
+    armnn::ResizeMethod m_ResizeMethod;
+    armnn::DataLayout   m_DataLayout;
+
+    armnn::TensorShape  m_InputShape;
+    armnn::TensorShape  m_OutputShape;
+
+    std::vector<float>  m_InputData;
+    std::vector<float>  m_ExpectedOutputData;
+
+    float               m_InQuantScale;
+    int32_t             m_InQuantOffset;
+
+    float               m_OutQuantScale;
+    int32_t             m_OutQuantOffset;
+
+    void SetInQuantParams(float quantScale, int32_t quantOffset)
+    {
+        m_InQuantScale   = quantScale;
+        m_InQuantOffset  = quantOffset;
+    }
+
+    void SetOutQuantParams(float quantScale, int32_t quantOffset)
+    {
+        m_OutQuantScale  = quantScale;
+        m_OutQuantOffset = quantOffset;
+    }
+
+    void SetInOutQuantParams(float quantScale, int32_t quantOffset)
+    {
+        SetInQuantParams(quantScale, quantOffset);
+        SetOutQuantParams(quantScale, quantOffset);
+    }
+};
+
+template<size_t NumDims,
+         armnn::DataType ArmnnType,
+         typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, NumDims> ResizeTestImpl(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const ResizeTestParams& params)
+{
+    armnn::TensorInfo inputInfo(params.m_InputShape, ArmnnType);
+    armnn::TensorInfo outputInfo(params.m_OutputShape, ArmnnType);
+
+    if (armnn::IsQuantizedType<T>())
+    {
+        inputInfo.SetQuantizationScale(params.m_InQuantScale);
+        inputInfo.SetQuantizationOffset(params.m_InQuantOffset);
+
+        outputInfo.SetQuantizationScale(params.m_OutQuantScale);
+        outputInfo.SetQuantizationOffset(params.m_OutQuantOffset);
+    }
+
+    std::vector<T> inputData =
+        armnnUtils::QuantizedVector<T>(params.m_InputData, params.m_InQuantScale, params.m_InQuantOffset);
+
+    std::vector<T> expectedOutputData =
+        armnnUtils::QuantizedVector<T>(params.m_ExpectedOutputData,
+                                       params.m_OutQuantScale,
+                                       params.m_OutQuantOffset);
+
+    if (params.m_DataLayout == armnn::DataLayout::NHWC)
+    {
+        PermuteTensorNchwToNhwc(inputInfo, inputData);
+        PermuteTensorNchwToNhwc(outputInfo, expectedOutputData);
+    }
+
+    auto input = MakeTensor<T, NumDims>(inputInfo, inputData);
+
+    LayerTestResult<T, NumDims> result(outputInfo);
+    result.outputExpected = MakeTensor<T, NumDims>(outputInfo, expectedOutputData);
+
+    std::unique_ptr<armnn::ITensorHandle> inputHandle  = workloadFactory.CreateTensorHandle(inputInfo);
+    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputInfo);
+
+    armnn::ResizeQueueDescriptor descriptor;
+    descriptor.m_Parameters.m_Method     = params.m_ResizeMethod;
+    descriptor.m_Parameters.m_DataLayout = params.m_DataLayout;
+
+    armnnUtils::DataLayoutIndexed dataLayoutIndexed(params.m_DataLayout);
+    descriptor.m_Parameters.m_TargetWidth  = params.m_OutputShape[dataLayoutIndexed.GetWidthIndex()];
+    descriptor.m_Parameters.m_TargetHeight = params.m_OutputShape[dataLayoutIndexed.GetHeightIndex()];
+
+    armnn::WorkloadInfo info;
+    AddInputToWorkload(descriptor, info, inputInfo, inputHandle.get());
+    AddOutputToWorkload(descriptor, info, outputInfo, outputHandle.get());
+
+    std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateResize(descriptor, info);
+
+    inputHandle->Allocate();
+    outputHandle->Allocate();
+    CopyDataToITensorHandle(inputHandle.get(), input.origin());
+
+    workload->PostAllocationConfigure();
+    workload->Execute();
+
+    CopyDataFromITensorHandle(result.output.origin(), outputHandle.get());
+    return result;
+}
+
+} // anonymous namespace
+
+//
+// Bilinear
+//
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 4> ResizeBilinearNopTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout)
+{
+    ResizeTestParams testParams;
+    testParams.m_ResizeMethod = armnn::ResizeMethod::Bilinear;
+    testParams.m_DataLayout   = dataLayout;
+
+    testParams.m_InputShape  = { 1, 2, 4, 4 };
+    testParams.m_OutputShape = testParams.m_InputShape;
+
+    testParams.m_InputData =
+    {
+        1.0f, 2.0f, 3.0f, 4.0f,
+        2.0f, 3.0f, 4.0f, 5.0f,
+        3.0f, 4.0f, 5.0f, 6.0f,
+        4.0f, 5.0f, 6.0f, 7.0f,
+
+        1.0f, 2.0f, 3.0f, 4.0f,
+        2.0f, 3.0f, 4.0f, 5.0f,
+        3.0f, 4.0f, 5.0f, 6.0f,
+        4.0f, 5.0f, 6.0f, 7.0f
+    };
+
+    testParams.m_ExpectedOutputData = testParams.m_InputData;
+
+    testParams.SetInOutQuantParams(1.5f, 3);
+
+    return ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, testParams);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 4> SimpleResizeBilinearTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout)
+{
+    ResizeTestParams testParams;
+    testParams.m_ResizeMethod = armnn::ResizeMethod::Bilinear;
+    testParams.m_DataLayout   = dataLayout;
+
+    testParams.m_InputShape  = { 1, 2, 2, 2 };
+    testParams.m_OutputShape = { 1, 2, 1, 1 };
+
+    testParams.m_InputData =
+    {
+          1.0f, 255.0f,
+        200.0f, 250.0f,
+
+        250.0f, 200.0f,
+        250.0f,   1.0f
+    };
+
+    // The 'resize' operation projects the top-left corner of output texels into the input image,
+    // then figures out the interpolants and weights. Note this is different to projecting the centre of the
+    // output texel. Thus, for a input matrix of 2x2, we'll expect the output 1x1 matrix to contain, as
+    // its single element, the value that was at position (0,0) of the input matrix (rather than an average,
+    // which we would expect if projecting the centre).
+    testParams.m_ExpectedOutputData =
+    {
+          1.0f,
+
+        250.0f
+    };
+
+    testParams.SetInOutQuantParams(0.1567f, 1);
+
+    return ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, testParams);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 4> ResizeBilinearSqMinTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout)
+{
+    ResizeTestParams testParams;
+    testParams.m_ResizeMethod = armnn::ResizeMethod::Bilinear;
+    testParams.m_DataLayout   = dataLayout;
+
+    testParams.m_InputShape  = { 1, 2, 4, 4 };
+    testParams.m_OutputShape = { 1, 2, 2, 2 };
+
+    testParams.m_InputData =
+    {
+        1.0f, 2.0f, 3.0f, 4.0f,
+        2.0f, 3.0f, 4.0f, 5.0f,
+        3.0f, 4.0f, 5.0f, 6.0f,
+        4.0f, 5.0f, 6.0f, 7.0f,
+
+        7.0f, 6.0f, 5.0f, 4.0f,
+        6.0f, 5.0f, 4.0f, 3.0f,
+        5.0f, 4.0f, 3.0f, 2.0f,
+        4.0f, 3.0f, 2.0f, 1.0f
+    };
+
+    testParams.m_ExpectedOutputData =
+    {
+        1.0f, 3.0f,
+        3.0f, 5.0f,
+
+        7.0f, 5.0f,
+        5.0f, 3.0f
+    };
+
+    testParams.SetInOutQuantParams(3.141592f, 3);
+
+    return ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, testParams);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 4> ResizeBilinearMinTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout)
+{
+    ResizeTestParams testParams;
+    testParams.m_ResizeMethod = armnn::ResizeMethod::Bilinear;
+    testParams.m_DataLayout   = dataLayout;
+
+    testParams.m_InputShape  = { 1, 2, 3, 5 };
+    testParams.m_OutputShape = { 1, 2, 2, 3 };
+
+    testParams.m_InputData =
+    {
+         1.5f,  3.0f,  4.5f,  6.0f,  7.5f,
+         9.0f, 10.5f, 12.0f, 13.5f, 15.0f,
+        16.5f, 18.0f, 19.5f, 21.0f, 22.5f,
+
+        16.5f, 18.0f, 19.5f, 21.0f, 22.5f,
+         9.0f, 10.5f, 12.0f, 13.5f, 15.0f,
+         1.5f,  3.0f,  4.5f,  6.0f,  7.5f
+    };
+
+    testParams.m_ExpectedOutputData =
+    {
+         1.50f,  4.00f,  6.50f,
+        12.75f, 15.25f, 17.75f,
+
+        16.50f, 19.00f, 21.50f,
+         5.25f,  7.75f, 10.25f
+    };
+
+    testParams.SetInOutQuantParams(1.5f, -1);
+
+    return ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, testParams);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 4> ResizeBilinearMagTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout)
+{
+    ResizeTestParams testParams;
+    testParams.m_ResizeMethod = armnn::ResizeMethod::Bilinear;
+    testParams.m_DataLayout   = dataLayout;
+
+    testParams.m_InputShape  = { 1, 2, 3, 2 };
+    testParams.m_OutputShape = { 1, 2, 3, 5 };
+
+    testParams.m_InputData =
+    {
+          1.0f,   2.0f,
+         13.0f,  21.0f,
+        144.0f, 233.0f,
+
+        233.0f, 144.0f,
+         21.0f,  13.0f,
+          2.0f,   1.0f
+    };
+
+    testParams.m_ExpectedOutputData =
+    {
+          1.0f,   1.4f,   1.8f,   2.0f,   2.0f,
+         13.0f,  16.2f,  19.4f,  21.0f,  21.0f,
+        144.0f, 179.6f, 215.2f, 233.0f, 233.0f,
+
+        233.0f, 197.4f, 161.8f, 144.0f, 144.0f,
+         21.0f,  17.8f,  14.6f,  13.0f,  13.0f,
+          2.0f,   1.6f,   1.2f,   1.0f,   1.0f
+    };
+
+    testParams.SetInQuantParams(1.0f, 0);
+
+    return ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, testParams);
+}
+
+//
+// NearestNeighbor
+//
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 4> ResizeNearestNeighborNopTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout)
+{
+    ResizeTestParams testParams;
+    testParams.m_ResizeMethod = armnn::ResizeMethod::NearestNeighbor;
+    testParams.m_DataLayout   = dataLayout;
+
+    testParams.m_InputShape  = { 1, 2, 4, 4 };
+    testParams.m_OutputShape = testParams.m_InputShape;
+
+    testParams.m_InputData =
+    {
+        1.0f, 2.0f, 3.0f, 4.0f,
+        2.0f, 3.0f, 4.0f, 5.0f,
+        3.0f, 4.0f, 5.0f, 6.0f,
+        4.0f, 5.0f, 6.0f, 7.0f,
+
+        1.0f, 2.0f, 3.0f, 4.0f,
+        2.0f, 3.0f, 4.0f, 5.0f,
+        3.0f, 4.0f, 5.0f, 6.0f,
+        4.0f, 5.0f, 6.0f, 7.0f
+    };
+
+    testParams.m_ExpectedOutputData = testParams.m_InputData;
+
+    testParams.SetInOutQuantParams(1.5f, 3);
+
+    return ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, testParams);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 4> SimpleResizeNearestNeighborTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout)
+{
+    ResizeTestParams testParams;
+    testParams.m_ResizeMethod = armnn::ResizeMethod::NearestNeighbor;
+    testParams.m_DataLayout   = dataLayout;
+
+    testParams.m_InputShape  = { 1, 2, 2, 2 };
+    testParams.m_OutputShape = { 1, 2, 1, 1 };
+
+    testParams.m_InputData =
+    {
+          1.0f, 255.0f,
+        200.0f, 250.0f,
+
+        250.0f, 200.0f,
+        250.0f,   1.0f
+    };
+
+    // The 'resize' operation projects the top-left corner of output texels into the input image,
+    // then figures out the interpolants and weights. Note this is different to projecting the centre of the
+    // output texel. Thus, for a input matrix of 2x2, we'll expect the output 1x1 matrix to contain, as
+    // its single element, the value that was at position (0,0) of the input matrix (rather than an average,
+    // which we would expect if projecting the centre).
+    testParams.m_ExpectedOutputData =
+    {
+          1.0f,
+
+        250.0f
+    };
+
+    testParams.SetInOutQuantParams(0.1567f, 1);
+
+    return ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, testParams);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 4> ResizeNearestNeighborSqMinTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout)
+{
+    ResizeTestParams testParams;
+    testParams.m_ResizeMethod = armnn::ResizeMethod::NearestNeighbor;
+    testParams.m_DataLayout   = dataLayout;
+
+    testParams.m_InputShape  = { 1, 2, 4, 4 };
+    testParams.m_OutputShape = { 1, 2, 2, 2 };
+
+    testParams.m_InputData =
+    {
+        1.0f, 2.0f, 3.0f, 4.0f,
+        2.0f, 3.0f, 4.0f, 5.0f,
+        3.0f, 4.0f, 5.0f, 6.0f,
+        4.0f, 5.0f, 6.0f, 7.0f,
+
+        7.0f, 6.0f, 5.0f, 4.0f,
+        6.0f, 5.0f, 4.0f, 3.0f,
+        5.0f, 4.0f, 3.0f, 2.0f,
+        4.0f, 3.0f, 2.0f, 1.0f
+    };
+
+    testParams.m_ExpectedOutputData =
+    {
+        1.0f, 3.0f,
+        3.0f, 5.0f,
+
+        7.0f, 5.0f,
+        5.0f, 3.0f
+    };
+
+    testParams.SetInOutQuantParams(3.141592f, 3);
+
+    return ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, testParams);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 4> ResizeNearestNeighborMinTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout)
+{
+        ResizeTestParams testParams;
+    testParams.m_ResizeMethod = armnn::ResizeMethod::NearestNeighbor;
+    testParams.m_DataLayout   = dataLayout;
+
+    testParams.m_InputShape  = { 1, 2, 3, 5 };
+    testParams.m_OutputShape = { 1, 2, 2, 3 };
+
+    testParams.m_InputData =
+    {
+         1.5f,  3.0f,  4.5f,  6.0f,  7.5f,
+         9.0f, 10.5f, 12.0f, 13.5f, 15.0f,
+        16.5f, 18.0f, 19.5f, 21.0f, 22.5f,
+
+        16.5f, 18.0f, 19.5f, 21.0f, 22.5f,
+         9.0f, 10.5f, 12.0f, 13.5f, 15.0f,
+         1.5f,  3.0f,  4.5f,  6.0f,  7.5f
+    };
+
+    testParams.m_ExpectedOutputData =
+    {
+         1.5f,  3.0f,  6.0f,
+         9.0f, 10.5f, 13.5f,
+
+        16.5f, 18.0f, 21.0f,
+         9.0f, 10.5f, 13.5f
+    };
+
+    testParams.SetInOutQuantParams(1.5f, -1);
+
+    return ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, testParams);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 4> ResizeNearestNeighborMagTest(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::DataLayout dataLayout,
+        float inQuantScale,
+        int32_t inQuantOffset,
+        float outQuantScale,
+        int32_t outQuantOffset)
+{
+    ResizeTestParams testParams;
+    testParams.m_ResizeMethod = armnn::ResizeMethod::NearestNeighbor;
+    testParams.m_DataLayout   = dataLayout;
+
+    testParams.m_InputShape  = { 1, 2, 3, 2 };
+    testParams.m_OutputShape = { 1, 2, 3, 5 };
+
+    testParams.m_InputData =
+    {
+        0.183005f, 2.379065f,
+        1.054970f, 1.302565f,
+        2.400595f, 0.688960f,
+
+        2.400595f, 0.688960f,
+        1.054970f, 1.302565f,
+        0.183005f, 2.379065f,
+    };
+
+    testParams.m_ExpectedOutputData =
+    {
+        0.183005f, 0.183005f, 0.183005f, 2.379065f, 2.379065f,
+        1.054970f, 1.054970f, 1.054970f, 1.302565f, 1.302565f,
+        2.400595f, 2.400595f, 2.400595f, 0.688960f, 0.688960f,
+
+        2.400595f, 2.400595f, 2.400595f, 0.688960f, 0.688960f,
+        1.054970f, 1.054970f, 1.054970f, 1.302565f, 1.302565f,
+        0.183005f, 0.183005f, 0.183005f, 2.379065f, 2.379065f
+    };
+
+    testParams.SetInQuantParams(inQuantScale, inQuantOffset);
+    testParams.SetOutQuantParams(outQuantScale, outQuantOffset);
+
+    return ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, testParams);
+}
+
+//
+// Explicit template instantiations
+//
+
+// Float32
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
+ResizeBilinearNopTest<armnn::DataType::Float32>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
+SimpleResizeBilinearTest<armnn::DataType::Float32>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
+ResizeBilinearSqMinTest<armnn::DataType::Float32>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
+ResizeBilinearMinTest<armnn::DataType::Float32>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
+ResizeBilinearMagTest<armnn::DataType::Float32>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
+ResizeNearestNeighborNopTest<armnn::DataType::Float32>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
+SimpleResizeNearestNeighborTest<armnn::DataType::Float32>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
+ResizeNearestNeighborSqMinTest<armnn::DataType::Float32>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
+ResizeNearestNeighborMinTest<armnn::DataType::Float32>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
+ResizeNearestNeighborMagTest<armnn::DataType::Float32>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout,
+    float inQuantScale,
+    int32_t inQuantOffset,
+    float outQuantScale,
+    int32_t outQuantOffset);
+
+// Float16
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4>
+ResizeBilinearNopTest<armnn::DataType::Float16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4>
+SimpleResizeBilinearTest<armnn::DataType::Float16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4>
+ResizeBilinearSqMinTest<armnn::DataType::Float16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4>
+ResizeBilinearMinTest<armnn::DataType::Float16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4>
+ResizeBilinearMagTest<armnn::DataType::Float16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4>
+ResizeNearestNeighborNopTest<armnn::DataType::Float16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4>
+SimpleResizeNearestNeighborTest<armnn::DataType::Float16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4>
+ResizeNearestNeighborSqMinTest<armnn::DataType::Float16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4>
+ResizeNearestNeighborMinTest<armnn::DataType::Float16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4>
+ResizeNearestNeighborMagTest<armnn::DataType::Float16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout,
+    float inQuantScale,
+    int32_t inQuantOffset,
+    float outQuantScale,
+    int32_t outQuantOffset);
+
+// QAsymm8
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4>
+ResizeBilinearNopTest<armnn::DataType::QuantisedAsymm8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4>
+SimpleResizeBilinearTest<armnn::DataType::QuantisedAsymm8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4>
+ResizeBilinearSqMinTest<armnn::DataType::QuantisedAsymm8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4>
+ResizeBilinearMinTest<armnn::DataType::QuantisedAsymm8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4>
+ResizeBilinearMagTest<armnn::DataType::QuantisedAsymm8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4>
+ResizeNearestNeighborNopTest<armnn::DataType::QuantisedAsymm8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4>
+SimpleResizeNearestNeighborTest<armnn::DataType::QuantisedAsymm8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4>
+ResizeNearestNeighborSqMinTest<armnn::DataType::QuantisedAsymm8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4>
+ResizeNearestNeighborMinTest<armnn::DataType::QuantisedAsymm8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 4>
+ResizeNearestNeighborMagTest<armnn::DataType::QuantisedAsymm8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout,
+    float inQuantScale,
+    int32_t inQuantOffset,
+    float outQuantScale,
+    int32_t outQuantOffset);
+
+// QSymm16
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4>
+ResizeBilinearNopTest<armnn::DataType::QuantisedSymm16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4>
+SimpleResizeBilinearTest<armnn::DataType::QuantisedSymm16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4>
+ResizeBilinearSqMinTest<armnn::DataType::QuantisedSymm16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4>
+ResizeBilinearMinTest<armnn::DataType::QuantisedSymm16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4>
+ResizeBilinearMagTest<armnn::DataType::QuantisedSymm16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4>
+ResizeNearestNeighborNopTest<armnn::DataType::QuantisedSymm16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4>
+SimpleResizeNearestNeighborTest<armnn::DataType::QuantisedSymm16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4>
+ResizeNearestNeighborSqMinTest<armnn::DataType::QuantisedSymm16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4>
+ResizeNearestNeighborMinTest<armnn::DataType::QuantisedSymm16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 4>
+ResizeNearestNeighborMagTest<armnn::DataType::QuantisedSymm16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::DataLayout dataLayout,
+    float inQuantScale,
+    int32_t inQuantOffset,
+    float outQuantScale,
+    int32_t outQuantOffset);