From 00d306e4db5153a4f4d280de4d4cf3e03788fefb Mon Sep 17 00:00:00 2001
From: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Date: Wed, 28 Aug 2019 18:08:46 +0100
Subject: IVGCVSW-3381 Break up LayerTests.hpp into more manageable files

Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: Icf39434f09fd340ad664cb3b97b8bee6d9da4838
---
 .../backendsCommon/test/GatherTestImpl.hpp         | 151 ---------------------
 1 file changed, 151 deletions(-)
 delete mode 100644 src/backends/backendsCommon/test/GatherTestImpl.hpp

(limited to 'src/backends/backendsCommon/test/GatherTestImpl.hpp')

diff --git a/src/backends/backendsCommon/test/GatherTestImpl.hpp b/src/backends/backendsCommon/test/GatherTestImpl.hpp
deleted file mode 100644
index 8fbfeeae3d..0000000000
--- a/src/backends/backendsCommon/test/GatherTestImpl.hpp
+++ /dev/null
@@ -1,151 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-#pragma once
-
-#include "WorkloadTestUtils.hpp"
-
-#include <armnn/Types.hpp>
-#include <backendsCommon/CpuTensorHandle.hpp>
-#include <backendsCommon/IBackendInternal.hpp>
-#include <backendsCommon/WorkloadFactory.hpp>
-
-template <armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>,
-    unsigned int paramsDim, unsigned int indicesDim, unsigned int OutputDim>
-LayerTestResult<T, OutputDim> GatherTestImpl(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
-    const armnn::TensorInfo& paramsInfo,
-    const armnn::TensorInfo& indicesInfo,
-    const armnn::TensorInfo& outputInfo,
-    const std::vector<T>& paramsData,
-    const std::vector<int32_t>& indicesData,
-    const std::vector<T>& outputData)
-{
-    auto params = MakeTensor<T, paramsDim>(paramsInfo, paramsData);
-    auto indices = MakeTensor<int32_t, indicesDim>(indicesInfo, indicesData);
-
-    LayerTestResult<T, OutputDim> result(outputInfo);
-    result.outputExpected = MakeTensor<T, OutputDim>(outputInfo, outputData);
-
-    std::unique_ptr<armnn::ITensorHandle> paramsHandle = workloadFactory.CreateTensorHandle(paramsInfo);
-    std::unique_ptr<armnn::ITensorHandle> indicesHandle = workloadFactory.CreateTensorHandle(indicesInfo);
-    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputInfo);
-
-    armnn::GatherQueueDescriptor data;
-    armnn::WorkloadInfo info;
-    AddInputToWorkload(data,  info, paramsInfo, paramsHandle.get());
-    AddInputToWorkload(data, info, indicesInfo, indicesHandle.get());
-    AddOutputToWorkload(data, info, outputInfo, outputHandle.get());
-
-    std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateGather(data, info);
-
-    paramsHandle->Allocate();
-    indicesHandle->Allocate();
-    outputHandle->Allocate();
-
-    CopyDataToITensorHandle(paramsHandle.get(), params.origin());
-    CopyDataToITensorHandle(indicesHandle.get(), indices.origin());
-
-    workload->Execute();
-
-    CopyDataFromITensorHandle(result.output.origin(), outputHandle.get());
-
-    return result;
-}
-
-template <armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
-LayerTestResult<T, 1> Gather1DParamsTestImpl(armnn::IWorkloadFactory& workloadFactory,
-                                             const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    armnn::TensorInfo paramsInfo({ 8 }, ArmnnType);
-    armnn::TensorInfo indicesInfo({ 4 }, armnn::DataType::Signed32);
-    armnn::TensorInfo outputInfo({ 4 }, ArmnnType);
-
-    if (armnn::IsQuantizedType<T>())
-    {
-        paramsInfo.SetQuantizationScale(1.0f);
-        paramsInfo.SetQuantizationOffset(1);
-        outputInfo.SetQuantizationScale(1.0f);
-        outputInfo.SetQuantizationOffset(1);
-    }
-    const std::vector<T> params = std::vector<T>({ 1, 2, 3, 4, 5, 6, 7, 8 });
-    const std::vector<int32_t> indices = std::vector<int32_t>({ 0, 2, 1, 5 });
-    const std::vector<T> expectedOutput = std::vector<T>({ 1, 3, 2, 6 });
-
-    return GatherTestImpl<ArmnnType, T, 1, 1, 1>(workloadFactory, memoryManager,
-                                                 paramsInfo, indicesInfo, outputInfo,
-                                                 params,indices, expectedOutput);
-}
-
-template <armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
-LayerTestResult<T, 2> GatherMultiDimParamsTestImpl(
-    armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    armnn::TensorInfo paramsInfo({ 5, 2 }, ArmnnType);
-    armnn::TensorInfo indicesInfo({ 3 }, armnn::DataType::Signed32);
-    armnn::TensorInfo outputInfo({ 3, 2 }, ArmnnType);
-
-    if (armnn::IsQuantizedType<T>())
-    {
-        paramsInfo.SetQuantizationScale(1.0f);
-        paramsInfo.SetQuantizationOffset(1);
-        outputInfo.SetQuantizationScale(1.0f);
-        outputInfo.SetQuantizationOffset(1);
-    }
-
-    const std::vector<T> params = std::vector<T>({ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 });
-    const std::vector<int32_t> indices = std::vector<int32_t>({ 1, 3, 4 });
-    const std::vector<T> expectedOutput = std::vector<T>({ 3, 4, 7, 8, 9, 10 });
-
-    return GatherTestImpl<ArmnnType, T, 2, 1, 2>(workloadFactory, memoryManager,
-                                                 paramsInfo, indicesInfo, outputInfo,
-                                                 params,indices, expectedOutput);
-}
-
-template <armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
-LayerTestResult<T, 4> GatherMultiDimParamsMultiDimIndicesTestImpl(
-    armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    armnn::TensorInfo paramsInfo({ 3, 2, 3}, ArmnnType);
-    armnn::TensorInfo indicesInfo({ 2, 3 }, armnn::DataType::Signed32);
-    armnn::TensorInfo outputInfo({ 2, 3, 2, 3 }, ArmnnType);
-
-    if (armnn::IsQuantizedType<T>())
-    {
-        paramsInfo.SetQuantizationScale(1.0f);
-        paramsInfo.SetQuantizationOffset(1);
-        outputInfo.SetQuantizationScale(1.0f);
-        outputInfo.SetQuantizationOffset(1);
-    }
-
-    const std::vector<T> params = std::vector<T>({
-         1,  2,  3,
-         4,  5,  6,
-
-         7,  8,  9,
-        10, 11, 12,
-
-        13, 14, 15,
-        16, 17, 18 });
-    const std::vector<int32_t> indices = std::vector<int32_t>({ 1, 2, 1, 2, 1, 0 });
-    const std::vector<T> expectedOutput = std::vector<T>({
-         7,  8,  9,
-        10, 11, 12,
-        13, 14, 15,
-        16, 17, 18,
-         7,  8,  9,
-        10, 11, 12,
-
-        13, 14, 15,
-        16, 17, 18,
-         7,  8,  9,
-        10, 11, 12,
-         1,  2,  3,
-         4,  5,  6 });
-
-    return GatherTestImpl<ArmnnType, T, 3, 2, 4>(workloadFactory, memoryManager,
-                                                 paramsInfo, indicesInfo, outputInfo,
-                                                 params,indices, expectedOutput);
-}
-- 
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