diff options
Diffstat (limited to 'src/backends/backendsCommon')
12 files changed, 459 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/LayerSupportBase.cpp b/src/backends/backendsCommon/LayerSupportBase.cpp index 543591091b..77067d9c6c 100644 --- a/src/backends/backendsCommon/LayerSupportBase.cpp +++ b/src/backends/backendsCommon/LayerSupportBase.cpp @@ -512,6 +512,14 @@ bool LayerSupportBase::IsRankSupported(const TensorInfo&, // input return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); } +bool LayerSupportBase::IsReduceSupported(const TensorInfo& /*input*/, + const TensorInfo& /*output*/, + const ReduceDescriptor& /*descriptor*/, + Optional<std::string&> reasonIfUnsupported) const +{ + return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported); +} + bool LayerSupportBase::IsReshapeSupported(const TensorInfo&, // input const TensorInfo&, // output const ReshapeDescriptor&, // descriptor diff --git a/src/backends/backendsCommon/LayerSupportBase.hpp b/src/backends/backendsCommon/LayerSupportBase.hpp index 7b873e3d6c..e04d657716 100644 --- a/src/backends/backendsCommon/LayerSupportBase.hpp +++ b/src/backends/backendsCommon/LayerSupportBase.hpp @@ -315,6 +315,11 @@ public: const TensorInfo& output, Optional<std::string&> reasonIfUnsupported) const override; + bool IsReduceSupported(const TensorInfo& input, + const TensorInfo& output, + const ReduceDescriptor& descriptor, + Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override; + bool IsReshapeSupported(const TensorInfo& input, const TensorInfo& output, const ReshapeDescriptor& descriptor, diff --git a/src/backends/backendsCommon/WorkloadData.cpp b/src/backends/backendsCommon/WorkloadData.cpp index d795e32e4b..b51099ff79 100644 --- a/src/backends/backendsCommon/WorkloadData.cpp +++ b/src/backends/backendsCommon/WorkloadData.cpp @@ -3633,4 +3633,31 @@ void LogicalBinaryQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) co } } +void ReduceQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const +{ + const std::string descriptorName{"ReduceQueueDescriptor"}; + + ValidateNumInputs(workloadInfo, descriptorName, 1); + ValidateNumOutputs(workloadInfo, descriptorName, 1); + + const TensorInfo& inputTensorInfo = workloadInfo.m_InputTensorInfos[0]; + const TensorInfo& outputTensorInfo = workloadInfo.m_OutputTensorInfos[0]; + + ValidateTensorNumDimensions(inputTensorInfo, descriptorName, 4, "input"); + + std::vector<DataType> supportedTypes = + { + DataType::BFloat16, + DataType::Float16, + DataType::Float32, + DataType::QAsymmS8, + DataType::QAsymmU8, + DataType::QSymmS16, + DataType::Signed32 + }; + + ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName); + ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output"); +} + } // namespace armnn diff --git a/src/backends/backendsCommon/WorkloadData.hpp b/src/backends/backendsCommon/WorkloadData.hpp index 0a232dc515..8a2dd1fe78 100644 --- a/src/backends/backendsCommon/WorkloadData.hpp +++ b/src/backends/backendsCommon/WorkloadData.hpp @@ -668,4 +668,9 @@ struct LogicalBinaryQueueDescriptor : QueueDescriptorWithParameters<LogicalBinar void Validate(const WorkloadInfo& workloadInfo) const; }; +struct ReduceQueueDescriptor : QueueDescriptorWithParameters<ReduceDescriptor> +{ + void Validate(const WorkloadInfo& workloadInfo) const; +}; + } // namespace armnn diff --git a/src/backends/backendsCommon/WorkloadFactory.cpp b/src/backends/backendsCommon/WorkloadFactory.cpp index 3a8a2ae18f..19281a82e9 100644 --- a/src/backends/backendsCommon/WorkloadFactory.cpp +++ b/src/backends/backendsCommon/WorkloadFactory.cpp @@ -1220,6 +1220,18 @@ bool IWorkloadFactory::IsLayerConfigurationSupported(const BackendId& backendId, break; } + case LayerType::Reduce: + { + auto cLayer = PolymorphicDowncast<const ReduceLayer*>(&layer); + const TensorInfo& input = layer.GetInputSlot(0).GetConnection()->GetTensorInfo(); + const TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo(); + + result = layerSupportObject->IsReduceSupported(OverrideDataType(input, dataType), + OverrideDataType(output, dataType), + cLayer->GetParameters(), + reason); + break; + } default: { ARMNN_ASSERT_MSG(false, "WorkloadFactory did not recognise type of layer."); @@ -1593,6 +1605,12 @@ std::unique_ptr<IWorkload> IWorkloadFactory::CreateRank(const RankQueueDescripto return std::unique_ptr<IWorkload>(); } +std::unique_ptr<IWorkload> IWorkloadFactory::CreateReduce(const ReduceQueueDescriptor& /*descriptor*/, + const WorkloadInfo& /*info*/) const +{ + return std::unique_ptr<IWorkload>(); +} + std::unique_ptr<IWorkload> IWorkloadFactory::CreateReshape(const ReshapeQueueDescriptor& /*descriptor*/, const WorkloadInfo& /*info*/) const { diff --git a/src/backends/backendsCommon/WorkloadFactory.hpp b/src/backends/backendsCommon/WorkloadFactory.hpp index 2e813e9945..6ab6d2c8ac 100644 --- a/src/backends/backendsCommon/WorkloadFactory.hpp +++ b/src/backends/backendsCommon/WorkloadFactory.hpp @@ -231,6 +231,9 @@ public: virtual std::unique_ptr<IWorkload> CreateRank(const RankQueueDescriptor& descriptor, const WorkloadInfo& info) const; + virtual std::unique_ptr<IWorkload> CreateReduce(const ReduceQueueDescriptor& descriptor, + const WorkloadInfo& info) const; + virtual std::unique_ptr<IWorkload> CreateReshape(const ReshapeQueueDescriptor& descriptor, const WorkloadInfo& info) const; diff --git a/src/backends/backendsCommon/common.mk b/src/backends/backendsCommon/common.mk index 7254d21f05..3b6299daf3 100644 --- a/src/backends/backendsCommon/common.mk +++ b/src/backends/backendsCommon/common.mk @@ -75,6 +75,7 @@ COMMON_TEST_SOURCES := \ test/layerTests/PadTestImpl.cpp \ test/layerTests/Pooling2dTestImpl.cpp \ test/layerTests/RankTestImpl.cpp \ + test/layerTests/ReduceSumTestImpl.cpp \ test/layerTests/ReshapeTestImpl.cpp \ test/layerTests/ResizeTestImpl.cpp \ test/layerTests/RsqrtTestImpl.cpp \ diff --git a/src/backends/backendsCommon/test/CMakeLists.txt b/src/backends/backendsCommon/test/CMakeLists.txt index 7894895c39..b20ef2dd25 100644 --- a/src/backends/backendsCommon/test/CMakeLists.txt +++ b/src/backends/backendsCommon/test/CMakeLists.txt @@ -137,6 +137,8 @@ list(APPEND armnnBackendsCommonUnitTests_sources layerTests/QuantizeTestImpl.hpp layerTests/RankTestImpl.cpp layerTests/RankTestImpl.hpp + layerTests/ReduceSumTestImpl.cpp + layerTests/ReduceSumTestImpl.hpp layerTests/ReshapeTestImpl.cpp layerTests/ReshapeTestImpl.hpp layerTests/ResizeTestImpl.cpp diff --git a/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp b/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp index 1492a8092f..c7d1dd2182 100644 --- a/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp +++ b/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp @@ -677,6 +677,8 @@ DECLARE_LAYER_POLICY_2_PARAM(StridedSlice) DECLARE_LAYER_POLICY_1_PARAM(Subtraction) +DECLARE_LAYER_POLICY_2_PARAM(Reduce) + DECLARE_LAYER_POLICY_1_PARAM(Switch) DECLARE_LAYER_POLICY_2_PARAM(Transpose) diff --git a/src/backends/backendsCommon/test/LayerTests.hpp b/src/backends/backendsCommon/test/LayerTests.hpp index e9eb5b9553..d87a3b08ab 100644 --- a/src/backends/backendsCommon/test/LayerTests.hpp +++ b/src/backends/backendsCommon/test/LayerTests.hpp @@ -48,6 +48,7 @@ #include <backendsCommon/test/layerTests/PreluTestImpl.hpp> #include <backendsCommon/test/layerTests/QuantizeTestImpl.hpp> #include <backendsCommon/test/layerTests/RankTestImpl.hpp> +#include <backendsCommon/test/layerTests/ReduceSumTestImpl.hpp> #include <backendsCommon/test/layerTests/ReshapeTestImpl.hpp> #include <backendsCommon/test/layerTests/ResizeTestImpl.hpp> #include <backendsCommon/test/layerTests/RsqrtTestImpl.hpp> diff --git a/src/backends/backendsCommon/test/layerTests/ReduceSumTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ReduceSumTestImpl.cpp new file mode 100644 index 0000000000..4edbd1108a --- /dev/null +++ b/src/backends/backendsCommon/test/layerTests/ReduceSumTestImpl.cpp @@ -0,0 +1,344 @@ +// +// Copyright © 2020 Samsung Electronics Co Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "ReduceSumTestImpl.hpp" + +#include <backendsCommon/test/DataTypeUtils.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>> +LayerTestResult<float, 4> ReduceTestCommon( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory, + const armnn::TensorInfo inputTensorInfo, + const armnn::TensorInfo outputTensorInfo, + const std::vector<float>& inputData, + const std::vector<float>& outputData, + const std::vector<int32_t> vAxis, + const armnn::ReduceOperation reduceOperation) +{ + IgnoreUnused(memoryManager); + auto inputTensor = MakeTensor<T, 4>(inputTensorInfo, ConvertToDataType<ArmnnType>(inputData, inputTensorInfo)); + + LayerTestResult<float, 4> result(outputTensorInfo); + result.outputExpected = MakeTensor<float, 4>(outputTensorInfo, outputData); + + std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo); + std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); + + armnn::ReduceQueueDescriptor descriptor; + std::vector<uint32_t> updated_idx; + uint32_t resolvedAxis = 0; + for (uint32_t i = 0; i < vAxis.size(); ++i) + { + if (vAxis[i] < 0) + { + resolvedAxis = inputTensorInfo.GetNumDimensions() + static_cast<uint32_t>(vAxis[i]); + } else + { + resolvedAxis = static_cast<uint32_t>(vAxis[i]); + } + + updated_idx.push_back(resolvedAxis); + } + + descriptor.m_Parameters.m_vAxis = updated_idx; + descriptor.m_Parameters.m_ReduceOperation = reduceOperation; + armnn::WorkloadInfo info; + + AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); + AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); + + std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateReduce(descriptor, info); + + inputHandle->Allocate(); + outputHandle->Allocate(); + + CopyDataToITensorHandle(inputHandle.get(), inputTensor.origin()); + + workload->Execute(); + + CopyDataFromITensorHandle(result.output.origin(), outputHandle.get()); + + return result; +} + +} // namespace + +template<armnn::DataType ArmnnType, typename T> +LayerTestResult<float, 4> ReduceSumSimpleTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory) +{ + const armnn::TensorShape inputShape{ 1, 1, 1, 5 }; + const armnn::TensorShape outputShape{ 1, 1, 1, 1}; + + armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); + + if (armnn::IsQuantizedType<T>()) + { + inputTensorInfo.SetQuantizationScale(1.0f); + inputTensorInfo.SetQuantizationOffset(0); + } + + armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); + + std::vector<float> inputValues({ 5.0f, 2.0f, 8.0f, 10.0f, 9.0f }); + std::vector<float> outputValues({ 34.0f }); + + return ReduceTestCommon<ArmnnType>(workloadFactory, + memoryManager, + tensorHandleFactory, + inputTensorInfo, + outputTensorInfo, + inputValues, + outputValues, + { -1 }, + armnn::ReduceOperation::Sum); +} + +template<armnn::DataType ArmnnType, typename T> +LayerTestResult<float, 4> ReduceSumSingleAxisTest1( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory) +{ + const armnn::TensorShape inputShape{ 1, 3, 2, 4 }; + const armnn::TensorShape outputShape{ 1, 1, 2, 4}; + + armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); + + if (armnn::IsQuantizedType<T>()) + { + inputTensorInfo.SetQuantizationScale(1.0f); + inputTensorInfo.SetQuantizationOffset(0); + } + + armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); + + std::vector<float> inputValues({ 1.0f, 2.0f, 3.0f, 4.0f, + 5.0f, 6.0f, 7.0f, 8.0f, + + 10.0f, 20.0f, 30.0f, 40.0f, + 50.0f, 60.0f, 70.0f, 80.0f, + + 100.0f, 200.0f, 300.0f, 400.0f, + 500.0f, 600.0f, 700.0f, 800.0f }); + std::vector<float> outputValues({ 111.0f, 222.0f, 333.0f, 444.0f, + 555.0f, 666.0f, 777.0f, 888.0f }); + + return ReduceTestCommon<ArmnnType>(workloadFactory, + memoryManager, + tensorHandleFactory, + inputTensorInfo, + outputTensorInfo, + inputValues, + outputValues, + { 1 }, + armnn::ReduceOperation::Sum); +} + +template<armnn::DataType ArmnnType, typename T> +LayerTestResult<float, 4> ReduceSumSingleAxisTest2( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory) +{ + const armnn::TensorShape inputShape{ 1, 6, 3, 4 }; + const armnn::TensorShape outputShape{ 1, 1, 3, 4}; + + armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); + + if (armnn::IsQuantizedType<T>()) + { + inputTensorInfo.SetQuantizationScale(1.0f); + inputTensorInfo.SetQuantizationOffset(0); + } + + armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); + + std::vector<float> inputValues( {7, 8, 6, 1, + 1, 1, 8, 7, + 3, 7, 7, 7, + + 6, 8, 4, 7, + 3, 8, 7, 3, + 5, 8, 8, 8, + + + 7, 8, 2, 7, + 3, 8, 5, 6, + 8, 4, 2, 7, + + 1, 6, 7, 2, + 8, 3, 3, 1, + 7, 6, 2, 6, + + + 5, 3, 4, 8, + 7, 8, 2, 4, + 6, 6, 2, 8, + + 2, 2, 7, 2, + 5, 3, 6, 3, + 6, 1, 8, 8}); + std::vector<float> outputValues({ 28.0f, 35.0f, 30.0f, 27.0f, + 27.0f, 31.0f, 31.0f, 24.0f, + 35.0f, 32.0f, 29.0f, 44.0f}); + + return ReduceTestCommon<ArmnnType>(workloadFactory, + memoryManager, + tensorHandleFactory, + inputTensorInfo, + outputTensorInfo, + inputValues, + outputValues, + { 1 }, + armnn::ReduceOperation::Sum); +} + +template<armnn::DataType ArmnnType, typename T> +LayerTestResult<float, 4> ReduceSumSingleAxisTest3( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory) +{ + const armnn::TensorShape inputShape{ 1, 6, 3, 4 }; + const armnn::TensorShape outputShape{ 1, 6, 3, 1}; + + armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); + + if (armnn::IsQuantizedType<T>()) + { + inputTensorInfo.SetQuantizationScale(1.0f); + inputTensorInfo.SetQuantizationOffset(0); + } + + armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); + + std::vector<float> inputValues( {7, 8, 6, 1, + 1, 1, 8, 7, + 3, 7, 7, 7, + + 6, 8, 4, 7, + 3, 8, 7, 3, + 5, 8, 8, 8, + + + 7, 8, 2, 7, + 3, 8, 5, 6, + 8, 4, 2, 7, + + 1, 6, 7, 2, + 8, 3, 3, 1, + 7, 6, 2, 6, + + + 5, 3, 4, 8, + 7, 8, 2, 4, + 6, 6, 2, 8, + + 2, 2, 7, 2, + 5, 3, 6, 3, + 6, 1, 8, 8}); + std::vector<float> outputValues({ 22.0f, 17.0f, 24.0f, + 25.0f, 21.0f, 29.0f, + + 24.0f, 22.0f, 21.0f, + 16.0f, 15.0f, 21.0f, + + 20.0f, 21.0f, 22.0f, + 13.0f, 17.0f, 23.0f}); + + return ReduceTestCommon<ArmnnType>(workloadFactory, + memoryManager, + tensorHandleFactory, + inputTensorInfo, + outputTensorInfo, + inputValues, + outputValues, + { 3 }, + armnn::ReduceOperation::Sum); +} + +template<armnn::DataType ArmnnType, typename T> +LayerTestResult<float, 4> ReduceSumMultipleAxisTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory) +{ + const armnn::TensorShape inputShape{ 1, 3, 2, 4 }; + const armnn::TensorShape outputShape{ 1, 1, 1, 4}; + + armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); + + if (armnn::IsQuantizedType<T>()) + { + inputTensorInfo.SetQuantizationScale(1.0f); + inputTensorInfo.SetQuantizationOffset(0); + } + + armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32); + + std::vector<float> inputValues({ 1.0f, 2.0f, 3.0f, 4.0f, + 5.0f, 6.0f, 7.0f, 8.0f, + + 10.0f, 20.0f, 30.0f, 40.0f, + 50.0f, 60.0f, 70.0f, 80.0f, + + 100.0f, 200.0f, 300.0f, 400.0f, + 500.0f, 600.0f, 700.0f, 800.0f }); + std::vector<float> outputValues({ 666.0f, 888.0f, 1110.0f, 1332.0f }); + + return ReduceTestCommon<ArmnnType>(workloadFactory, + memoryManager, + tensorHandleFactory, + inputTensorInfo, + outputTensorInfo, + inputValues, + outputValues, + { 1, 2 }, + armnn::ReduceOperation::Sum); +} + +// Explicit template specializations + +template LayerTestResult<float, 4> +ReduceSumSimpleTest<armnn::DataType::Float32>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory); + +template LayerTestResult<float, 4> +ReduceSumSingleAxisTest1<armnn::DataType::Float32>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory); + +template LayerTestResult<float, 4> +ReduceSumSingleAxisTest2<armnn::DataType::Float32>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory); + +template LayerTestResult<float, 4> +ReduceSumSingleAxisTest3<armnn::DataType::Float32>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory); + +template LayerTestResult<float, 4> +ReduceSumMultipleAxisTest<armnn::DataType::Float32>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory); diff --git a/src/backends/backendsCommon/test/layerTests/ReduceSumTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/ReduceSumTestImpl.hpp new file mode 100644 index 0000000000..db23240958 --- /dev/null +++ b/src/backends/backendsCommon/test/layerTests/ReduceSumTestImpl.hpp @@ -0,0 +1,43 @@ +// +// Copyright © 2020 Samsung Electronics Co Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#pragma once + +#include "LayerTestResult.hpp" + +#include <ResolveType.hpp> + +#include <armnn/backends/IBackendInternal.hpp> +#include <backendsCommon/WorkloadFactory.hpp> + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<float, 4> ReduceSumSimpleTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory); + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<float, 4> ReduceSumSingleAxisTest1( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory); + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<float, 4> ReduceSumSingleAxisTest2( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory); + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<float, 4> ReduceSumSingleAxisTest3( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory); + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<float, 4> ReduceSumMultipleAxisTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::ITensorHandleFactory& tensorHandleFactory); |