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, 283 deletions

diff --git a/src/backends/backendsCommon/test/DebugTestImpl.hpp b/src/backends/backendsCommon/test/DebugTestImpl.hpp
deleted file mode 100644
index 4af479d7ce..0000000000
--- a/src/backends/backendsCommon/test/DebugTestImpl.hpp
+++ /dev/null
@@ -1,283 +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>
-
-namespace
-{
-
-template<typename T, std::size_t Dim>
-LayerTestResult<T, Dim> DebugTestImpl(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
-    armnn::TensorInfo& inputTensorInfo,
-    armnn::TensorInfo& outputTensorInfo,
-    std::vector<float>& inputData,
-    std::vector<float>& outputExpectedData,
-    armnn::DebugQueueDescriptor descriptor,
-    const std::string expectedStringOutput,
-    const float qScale = 1.0f,
-    const int32_t qOffset = 0)
-{
-    if(armnn::IsQuantizedType<T>())
-    {
-        inputTensorInfo.SetQuantizationScale(qScale);
-        inputTensorInfo.SetQuantizationOffset(qOffset);
-
-        outputTensorInfo.SetQuantizationScale(qScale);
-        outputTensorInfo.SetQuantizationOffset(qOffset);
-    }
-
-    boost::multi_array<T, Dim> input =
-        MakeTensor<T, Dim>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, inputData));
-
-    LayerTestResult<T, Dim> ret(outputTensorInfo);
-    ret.outputExpected =
-        MakeTensor<T, Dim>(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.CreateDebug(descriptor, info);
-
-    inputHandle->Allocate();
-    outputHandle->Allocate();
-
-    CopyDataToITensorHandle(inputHandle.get(), input.data());
-
-    std::ostringstream oss;
-    std::streambuf* coutStreambuf = std::cout.rdbuf();
-    std::cout.rdbuf(oss.rdbuf());
-
-    ExecuteWorkload(*workload, memoryManager);
-
-    std::cout.rdbuf(coutStreambuf);
-
-    BOOST_TEST(oss.str() == expectedStringOutput);
-
-    CopyDataFromITensorHandle(ret.output.data(), outputHandle.get());
-
-    return ret;
-}
-
-template <armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
-LayerTestResult<T, 4> Debug4DTest(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    armnn::TensorInfo inputTensorInfo;
-    armnn::TensorInfo outputTensorInfo;
-
-    unsigned int inputShape[]  = {1, 2, 2, 3};
-    unsigned int outputShape[] = {1, 2, 2, 3};
-
-    armnn::DebugQueueDescriptor desc;
-    desc.m_Guid = 1;
-    desc.m_LayerName = "TestOutput";
-    desc.m_SlotIndex = 0;
-
-    inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType);
-    outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType);
-
-    std::vector<float> input = 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,
-    });
-
-    std::vector<float> outputExpected = 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,
-    });
-
-    const std::string expectedStringOutput =
-        "{ \"layerGuid\": 1,"
-        " \"layerName\": \"TestOutput\","
-        " \"outputSlot\": 0,"
-        " \"shape\": [1, 2, 2, 3],"
-        " \"min\": 1, \"max\": 12,"
-        " \"data\": [[[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]]] }\n";
-
-    return DebugTestImpl<T, 4>(workloadFactory,
-                               memoryManager,
-                               inputTensorInfo,
-                               outputTensorInfo,
-                               input,
-                               outputExpected,
-                               desc,
-                               expectedStringOutput);
-}
-
-template <armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
-LayerTestResult<T, 3> Debug3DTest(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    armnn::TensorInfo inputTensorInfo;
-    armnn::TensorInfo outputTensorInfo;
-
-    unsigned int inputShape[]  = {3, 3, 1};
-    unsigned int outputShape[] = {3, 3, 1};
-
-    armnn::DebugQueueDescriptor desc;
-    desc.m_Guid = 1;
-    desc.m_LayerName = "TestOutput";
-    desc.m_SlotIndex = 0;
-
-    inputTensorInfo = armnn::TensorInfo(3, inputShape, ArmnnType);
-    outputTensorInfo = armnn::TensorInfo(3, outputShape, ArmnnType);
-
-    std::vector<float> input = std::vector<float>(
-    {
-        1.0f, 2.0f, 3.0f,
-        4.0f, 5.0f, 6.0f,
-        7.0f, 8.0f, 9.0f,
-    });
-
-    std::vector<float> outputExpected = std::vector<float>(
-    {
-        1.0f, 2.0f, 3.0f,
-        4.0f, 5.0f, 6.0f,
-        7.0f, 8.0f, 9.0f,
-    });
-
-    const std::string expectedStringOutput =
-        "{ \"layerGuid\": 1,"
-        " \"layerName\": \"TestOutput\","
-        " \"outputSlot\": 0,"
-        " \"shape\": [3, 3, 1],"
-        " \"min\": 1, \"max\": 9,"
-        " \"data\": [[[1], [2], [3]], [[4], [5], [6]], [[7], [8], [9]]] }\n";
-
-    return DebugTestImpl<T, 3>(workloadFactory,
-                               memoryManager,
-                               inputTensorInfo,
-                               outputTensorInfo,
-                               input,
-                               outputExpected,
-                               desc,
-                               expectedStringOutput);
-}
-
-template <armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
-LayerTestResult<T, 2> Debug2DTest(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    armnn::TensorInfo inputTensorInfo;
-    armnn::TensorInfo outputTensorInfo;
-
-    unsigned int inputShape[]  = {2, 2};
-    unsigned int outputShape[] = {2, 2};
-
-    armnn::DebugQueueDescriptor desc;
-    desc.m_Guid = 1;
-    desc.m_LayerName = "TestOutput";
-    desc.m_SlotIndex = 0;
-
-    inputTensorInfo = armnn::TensorInfo(2, inputShape, ArmnnType);
-    outputTensorInfo = armnn::TensorInfo(2, outputShape, ArmnnType);
-
-    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,
-    });
-
-    const std::string expectedStringOutput =
-        "{ \"layerGuid\": 1,"
-        " \"layerName\": \"TestOutput\","
-        " \"outputSlot\": 0,"
-        " \"shape\": [2, 2],"
-        " \"min\": 1, \"max\": 4,"
-        " \"data\": [[1, 2], [3, 4]] }\n";
-
-    return DebugTestImpl<T, 2>(workloadFactory,
-                               memoryManager,
-                               inputTensorInfo,
-                               outputTensorInfo,
-                               input,
-                               outputExpected,
-                               desc,
-                               expectedStringOutput);
-}
-
-template <armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
-LayerTestResult<T, 1> Debug1DTest(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    armnn::TensorInfo inputTensorInfo;
-    armnn::TensorInfo outputTensorInfo;
-
-    unsigned int inputShape[]  = {4};
-    unsigned int outputShape[] = {4};
-
-    armnn::DebugQueueDescriptor desc;
-    desc.m_Guid = 1;
-    desc.m_LayerName = "TestOutput";
-    desc.m_SlotIndex = 0;
-
-    inputTensorInfo = armnn::TensorInfo(1, inputShape, ArmnnType);
-    outputTensorInfo = armnn::TensorInfo(1, outputShape, ArmnnType);
-
-    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,
-    });
-
-    const std::string expectedStringOutput =
-        "{ \"layerGuid\": 1,"
-        " \"layerName\": \"TestOutput\","
-        " \"outputSlot\": 0,"
-        " \"shape\": [4],"
-        " \"min\": 1, \"max\": 4,"
-        " \"data\": [1, 2, 3, 4] }\n";
-
-    return DebugTestImpl<T, 1>(workloadFactory,
-                               memoryManager,
-                               inputTensorInfo,
-                               outputTensorInfo,
-                               input,
-                               outputExpected,
-                               desc,
-                               expectedStringOutput);
-}
-
-} // anonymous namespace