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, 241 deletions

diff --git a/src/backends/backendsCommon/test/PermuteTestImpl.hpp b/src/backends/backendsCommon/test/PermuteTestImpl.hpp
deleted file mode 100644
index 5f56fbde59..0000000000
--- a/src/backends/backendsCommon/test/PermuteTestImpl.hpp
+++ /dev/null
@@ -1,241 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-#pragma once
-
-#include "QuantizeHelper.hpp"
-#include "WorkloadTestUtils.hpp"
-
-#include <armnn/ArmNN.hpp>
-#include <armnn/Tensor.hpp>
-#include <armnn/TypesUtils.hpp>
-
-#include <test/TensorHelpers.hpp>
-
-#include <backendsCommon/CpuTensorHandle.hpp>
-#include <backendsCommon/IBackendInternal.hpp>
-#include <backendsCommon/WorkloadFactory.hpp>
-
-template<typename T>
-LayerTestResult<T, 4> SimplePermuteTestImpl(
-        armnn::IWorkloadFactory& workloadFactory,
-        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
-        armnn::PermuteDescriptor descriptor,
-        armnn::TensorInfo inputTensorInfo,
-        armnn::TensorInfo outputTensorInfo,
-        const std::vector<T>& inputData,
-        const std::vector<T>& outputExpectedData)
-{
-    auto input = MakeTensor<T, 4>(inputTensorInfo, inputData);
-
-    LayerTestResult<T, 4> ret(outputTensorInfo);
-    ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outputExpectedData);
-
-    std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
-    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
-
-    armnn::PermuteQueueDescriptor data;
-    data.m_Parameters = descriptor;
-    armnn::WorkloadInfo info;
-    AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());
-    AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());
-
-    std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePermute(data, 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> SimplePermuteTest(
-        armnn::IWorkloadFactory& workloadFactory,
-        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    armnn::TensorInfo inputTensorInfo;
-    armnn::TensorInfo outputTensorInfo;
-
-    unsigned int inputShape[] = { 1, 2, 2, 2 };
-    unsigned int outputShape[] = { 1, 2, 2, 2 };
-
-    armnn::PermuteDescriptor descriptor;
-    descriptor.m_DimMappings = {0U, 3U, 1U, 2U};
-
-    inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType);
-    outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType);
-
-    // Set quantization parameters if the requested type is a quantized type.
-    if(armnn::IsQuantizedType<T>())
-    {
-        inputTensorInfo.SetQuantizationScale(0.5f);
-        inputTensorInfo.SetQuantizationOffset(5);
-        outputTensorInfo.SetQuantizationScale(0.5f);
-        outputTensorInfo.SetQuantizationOffset(5);
-    }
-
-    std::vector<T> input = std::vector<T>(
-    {
-        1, 2,
-        3, 4,
-        5, 6,
-        7, 8
-    });
-
-    std::vector<T> outputExpected = std::vector<T>(
-    {
-        1, 5, 2, 6,
-        3, 7, 4, 8
-    });
-
-    return SimplePermuteTestImpl<T>(workloadFactory, memoryManager,
-                                    descriptor, inputTensorInfo,
-                                    outputTensorInfo, input, outputExpected);
-}
-
-template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
-LayerTestResult<T, 4> PermuteValueSet1Test(
-        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, 3, 2, 2 };
-
-    armnn::PermuteDescriptor descriptor;
-    descriptor.m_DimMappings = {0U, 2U, 3U, 1U};
-
-    inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType);
-    outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType);
-
-    // Set quantization parameters if the requested type is a quantized type.
-    if(armnn::IsQuantizedType<T>())
-    {
-        inputTensorInfo.SetQuantizationScale(0.5f);
-        inputTensorInfo.SetQuantizationOffset(5);
-        outputTensorInfo.SetQuantizationScale(0.5f);
-        outputTensorInfo.SetQuantizationOffset(5);
-    }
-
-    std::vector<T> input = std::vector<T>(
-    {
-         1,  2,  3,
-        11, 12, 13,
-        21, 22, 23,
-        31, 32, 33
-    });
-
-    std::vector<T> outputExpected = std::vector<T>(
-    {
-        1, 11, 21, 31,
-        2, 12, 22, 32,
-        3, 13, 23, 33
-    });
-
-    return SimplePermuteTestImpl<T>(workloadFactory, memoryManager,
-                                    descriptor, inputTensorInfo,
-                                    outputTensorInfo, input, outputExpected);
-}
-
-template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
-LayerTestResult<T, 4> PermuteValueSet2Test(
-        armnn::IWorkloadFactory& workloadFactory,
-        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    armnn::TensorInfo inputTensorInfo;
-    armnn::TensorInfo outputTensorInfo;
-
-    unsigned int inputShape[]  = { 1, 3, 2, 2 };
-    unsigned int outputShape[] = { 1, 2, 2, 3 };
-
-    armnn::PermuteDescriptor descriptor;
-    descriptor.m_DimMappings = {0U, 3U, 1U, 2U};
-
-    inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType);
-    outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType);
-
-    // Set quantization parameters if the requested type is a quantized type.
-    if(armnn::IsQuantizedType<T>())
-    {
-        inputTensorInfo.SetQuantizationScale(0.5f);
-        inputTensorInfo.SetQuantizationOffset(5);
-        outputTensorInfo.SetQuantizationScale(0.5f);
-        outputTensorInfo.SetQuantizationOffset(5);
-    }
-
-    std::vector<T> input = std::vector<T>(
-    {
-        1, 11, 21, 31,
-        2, 12, 22, 32,
-        3, 13, 23, 33
-    });
-
-    std::vector<T> outputExpected = std::vector<T>(
-    {
-         1,  2,  3,
-        11, 12, 13,
-        21, 22, 23,
-        31, 32, 33,
-    });
-
-    return SimplePermuteTestImpl<T>(workloadFactory, memoryManager,
-                                    descriptor, inputTensorInfo,
-                                    outputTensorInfo, input, outputExpected);
-}
-
-template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
-LayerTestResult<T, 4> PermuteValueSet3Test(
-        armnn::IWorkloadFactory& workloadFactory,
-        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    armnn::TensorInfo inputTensorInfo;
-    armnn::TensorInfo outputTensorInfo;
-
-    unsigned int inputShape[]  = { 1, 2, 3, 3 };
-    unsigned int outputShape[] = { 1, 3, 2, 3 };
-
-    armnn::PermuteDescriptor descriptor;
-    descriptor.m_DimMappings = {0U, 2U, 3U, 1U};
-
-    inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType);
-    outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType);
-
-    // Set quantization parameters if the requested type is a quantized type.
-    if(armnn::IsQuantizedType<T>())
-    {
-        inputTensorInfo.SetQuantizationScale(0.5f);
-        inputTensorInfo.SetQuantizationOffset(5);
-        outputTensorInfo.SetQuantizationScale(0.5f);
-        outputTensorInfo.SetQuantizationOffset(5);
-    }
-
-    std::vector<T> input = std::vector<T>(
-            {
-                 1,  2,  3,
-                11, 12, 13,
-                21, 22, 23,
-                31, 32, 33,
-                41, 42, 43,
-                51, 52, 53
-            });
-
-    std::vector<T> outputExpected = std::vector<T>(
-            {
-                1, 11, 21, 31, 41, 51,
-                2, 12, 22, 32, 42, 52,
-                3, 13, 23, 33, 43, 53
-            });
-
-    return SimplePermuteTestImpl<T>(workloadFactory, memoryManager,
-                                    descriptor, inputTensorInfo,
-                                    outputTensorInfo, input, outputExpected);
-}