IVGCVSW-3381 Break up LayerTests.hpp into more manageable files

Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: Icf39434f09fd340ad664cb3b97b8bee6d9da4838

1 files changed, 0 insertions, 147 deletions

diff --git a/src/backends/backendsCommon/test/SpaceToDepthTestImpl.hpp b/src/backends/backendsCommon/test/SpaceToDepthTestImpl.hpp
deleted file mode 100644
index af3f5d2618..0000000000
--- a/src/backends/backendsCommon/test/SpaceToDepthTestImpl.hpp
+++ /dev/null
@@ -1,147 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-#pragma once
-
-#include "WorkloadTestUtils.hpp"
-
-#include <armnn/ArmNN.hpp>
-#include <armnn/Tensor.hpp>
-#include <armnn/TypesUtils.hpp>
-
-#include <backendsCommon/CpuTensorHandle.hpp>
-#include <backendsCommon/IBackendInternal.hpp>
-#include <backendsCommon/WorkloadFactory.hpp>
-
-#include <test/TensorHelpers.hpp>
-
-template<typename T>
-LayerTestResult<T, 4> SpaceToDepthTestImpl(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
-    armnn::TensorInfo& inputTensorInfo,
-    armnn::TensorInfo& outputTensorInfo,
-    std::vector<float>& inputData,
-    std::vector<float>& outputExpectedData,
-    armnn::SpaceToDepthQueueDescriptor descriptor,
-    const float qScale = 1.0f,
-    const int32_t qOffset = 0)
-{
-    const armnn::PermutationVector NHWCToNCHW = {0, 2, 3, 1};
-
-    if (descriptor.m_Parameters.m_DataLayout == armnn::DataLayout::NCHW)
-    {
-        inputTensorInfo = armnnUtils::Permuted(inputTensorInfo, NHWCToNCHW);
-        outputTensorInfo = armnnUtils::Permuted(outputTensorInfo, NHWCToNCHW);
-
-        std::vector<float> inputTmp(inputData.size());
-        armnnUtils::Permute(inputTensorInfo.GetShape(), NHWCToNCHW,
-            inputData.data(), inputTmp.data(), sizeof(float));
-        inputData = inputTmp;
-
-        std::vector<float> outputTmp(outputExpectedData.size());
-        armnnUtils::Permute(outputTensorInfo.GetShape(), NHWCToNCHW,
-            outputExpectedData.data(), outputTmp.data(), sizeof(float));
-        outputExpectedData = outputTmp;
-    }
-
-    if(armnn::IsQuantizedType<T>())
-    {
-        inputTensorInfo.SetQuantizationScale(qScale);
-        inputTensorInfo.SetQuantizationOffset(qOffset);
-        outputTensorInfo.SetQuantizationScale(qScale);
-        outputTensorInfo.SetQuantizationOffset(qOffset);
-    }
-
-    boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, inputData));
-
-    LayerTestResult<T, 4> ret(outputTensorInfo);
-    ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, outputExpectedData));
-
-    std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
-    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
-
-    armnn::WorkloadInfo info;
-    AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());
-    AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());
-
-    std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateSpaceToDepth(descriptor, info);
-
-    inputHandle->Allocate();
-    outputHandle->Allocate();
-
-    CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]);
-
-    workload->Execute();
-
-    CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get());
-
-    return ret;
-}
-
-template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
-LayerTestResult<T, 4> SpaceToDepthSimpleTest1(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
-    armnn::DataLayout dataLayout = armnn::DataLayout::NHWC)
-{
-    unsigned int inputShape[] = {1, 2, 2, 1};
-    unsigned int outputShape[] = {1, 1, 1, 4};
-
-    std::vector<float> input = std::vector<float>(
-    {
-        1.0f, 2.0f, 3.0f, 4.0f
-    });
-
-    std::vector<float> outputExpected = std::vector<float>(
-    {
-        1.0f, 2.0f, 3.0f, 4.0f
-    });
-
-    armnn::TensorInfo inputTensorInfo;
-    armnn::TensorInfo outputTensorInfo;
-
-    armnn::SpaceToDepthQueueDescriptor desc;
-    desc.m_Parameters.m_DataLayout = dataLayout;
-    desc.m_Parameters.m_BlockSize = 2;
-
-    inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType);
-    outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType);
-
-    return SpaceToDepthTestImpl<T>(
-        workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc);
-}
-
-template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
-LayerTestResult<T, 4> SpaceToDepthSimpleTest2(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
-    armnn::DataLayout dataLayout = armnn::DataLayout::NHWC)
-{
-    unsigned int inputShape[] = {1, 2, 2, 2};
-    unsigned int outputShape[] = {1, 1, 1, 8};
-
-    std::vector<float> input = std::vector<float>(
-    {
-        1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f
-    });
-
-    std::vector<float> outputExpected = std::vector<float>(
-    {
-        1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f
-    });
-
-    armnn::TensorInfo inputTensorInfo;
-    armnn::TensorInfo outputTensorInfo;
-
-    armnn::SpaceToDepthQueueDescriptor desc;
-    desc.m_Parameters.m_DataLayout = dataLayout;
-    desc.m_Parameters.m_BlockSize = 2;
-
-    inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType);
-    outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType);
-
-    return SpaceToDepthTestImpl<T>(
-        workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc);
-}