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, 132 deletions

diff --git a/src/backends/backendsCommon/test/DequantizeTestImpl.hpp b/src/backends/backendsCommon/test/DequantizeTestImpl.hpp
deleted file mode 100644
index 407589ab55..0000000000
--- a/src/backends/backendsCommon/test/DequantizeTestImpl.hpp
+++ /dev/null
@@ -1,132 +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<float, Dim> DequantizeTestImpl(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
-    const armnn::TensorInfo& inputTensorInfo,
-    const armnn::TensorInfo& outputTensorInfo,
-    const std::vector<T>& inputData,
-    const std::vector<float>& expectedOutputData,
-    armnn::DequantizeQueueDescriptor descriptor)
-{
-    boost::multi_array<T, Dim> input = MakeTensor<T, Dim>(inputTensorInfo, inputData);
-
-    LayerTestResult<float, Dim> ret(outputTensorInfo);
-    ret.outputExpected = MakeTensor<float, Dim>(outputTensorInfo, expectedOutputData);
-
-    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.CreateDequantize(descriptor, info);
-
-    inputHandle->Allocate();
-    outputHandle->Allocate();
-
-    CopyDataToITensorHandle(inputHandle.get(), input.data());
-
-    ExecuteWorkload(*workload, memoryManager);
-
-    CopyDataFromITensorHandle(ret.output.data(), outputHandle.get());
-
-    return ret;
-}
-
-template <armnn::DataType ArmnnInputType>
-LayerTestResult<float, 4> DequantizeSimpleTest(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    using T = armnn::ResolveType<ArmnnInputType>;
-
-    armnn::DequantizeQueueDescriptor desc;
-
-    const armnn::TensorInfo inputTensorInfo({1, 2, 2, 3}, ArmnnInputType, 0.5f, 0);
-    const armnn::TensorInfo outputTensorInfo({1, 2, 2, 3}, armnn::DataType::Float32);
-
-    std::vector<T> inputData = std::vector<T>(
-    {
-         2,  4,  6,
-         8, 10, 12,
-        14, 16, 18,
-        20, 22, 24,
-    });
-
-    std::vector<float> expectedOutputData = 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,
-    });
-
-    return DequantizeTestImpl<T, 4>(workloadFactory,
-                                    memoryManager,
-                                    inputTensorInfo,
-                                    outputTensorInfo,
-                                    inputData,
-                                    expectedOutputData,
-                                    desc);
-}
-
-template <armnn::DataType ArmnnInputType>
-LayerTestResult<float, 4> DequantizeOffsetTest(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    using T = armnn::ResolveType<ArmnnInputType>;
-
-    armnn::DequantizeQueueDescriptor desc;
-
-    const armnn::TensorInfo inputTensorInfo({1, 2, 2, 3}, ArmnnInputType, 0.5f, 1);
-    const armnn::TensorInfo outputTensorInfo({1, 2, 2, 3}, armnn::DataType::Float32);
-
-    std::vector<T> inputData = std::vector<T>(
-    {
-         3,  5,  7,
-         9, 11, 13,
-        15, 17, 19,
-        21, 23, 25,
-    });
-
-    std::vector<float> expectedOutputData = 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,
-    });
-
-    return DequantizeTestImpl<T, 4>(workloadFactory,
-                                    memoryManager,
-                                    inputTensorInfo,
-                                    outputTensorInfo,
-                                    inputData,
-                                    expectedOutputData,
-                                    desc);
-}
-
-} // anonymous namespace