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, 251 insertions, 0 deletions

diff --git a/src/backends/backendsCommon/test/layerTests/GatherTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/GatherTestImpl.cpp
new file mode 100644
index 0000000000..0118f54257
--- /dev/null
+++ b/src/backends/backendsCommon/test/layerTests/GatherTestImpl.cpp
@@ -0,0 +1,251 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "GatherTestImpl.hpp"
+
+#include <ResolveType.hpp>
+
+#include <armnn/ArmNN.hpp>
+
+#include <backendsCommon/test/TensorCopyUtils.hpp>
+#include <backendsCommon/test/WorkloadTestUtils.hpp>
+
+#include <test/TensorHelpers.hpp>
+
+namespace
+{
+
+template <armnn::DataType ArmnnType,
+          typename T = armnn::ResolveType<ArmnnType>,
+          size_t ParamsDim,
+          size_t IndicesDim,
+          size_t 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 =
+    {
+         1,  2,  3,
+         4,  5,  6,
+
+         7,  8,  9,
+        10, 11, 12,
+
+        13, 14, 15,
+        16, 17, 18
+    };
+
+    const std::vector<int32_t> indices = { 1, 2, 1, 2, 1, 0 };
+
+    const std::vector<T> expectedOutput =
+    {
+         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);
+}
+
+} // anonymous namespace
+
+LayerTestResult<float, 1> Gather1dParamsFloatTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    return Gather1dParamsTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<uint8_t, 1> Gather1dParamsUint8Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    return Gather1dParamsTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<int16_t, 1> Gather1dParamsInt16Test(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    return Gather1dParamsTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<float, 2> GatherMultiDimParamsFloatTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    return GatherMultiDimParamsTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<uint8_t, 2> GatherMultiDimParamsUint8Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    return GatherMultiDimParamsTestImpl<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<int16_t, 2> GatherMultiDimParamsInt16Test(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    return GatherMultiDimParamsTestImpl<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<float, 4> GatherMultiDimParamsMultiDimIndicesFloatTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    return GatherMultiDimParamsMultiDimIndicesTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<uint8_t, 4> GatherMultiDimParamsMultiDimIndicesUint8Test(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    return GatherMultiDimParamsMultiDimIndicesTestImpl<armnn::DataType::QuantisedAsymm8>(
+        workloadFactory, memoryManager);
+}
+
+LayerTestResult<int16_t, 4> GatherMultiDimParamsMultiDimIndicesInt16Test(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    return GatherMultiDimParamsMultiDimIndicesTestImpl<armnn::DataType::QuantisedSymm16>(
+        workloadFactory, memoryManager);
+}