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author | Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> | 2019-08-28 18:08:46 +0100 |
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committer | mike.kelly <mike.kelly@arm.com> | 2019-08-30 10:58:54 +0000 |
commit | 00d306e4db5153a4f4d280de4d4cf3e03788fefb (patch) | |
tree | 329c15f71c662e199a24dc0812bf95cb389ddbd8 /src/backends/backendsCommon/test/layerTests/MeanTestImpl.hpp | |
parent | 08b518687d2bf2683a2c5f571d3e76d71d67d048 (diff) | |
download | armnn-00d306e4db5153a4f4d280de4d4cf3e03788fefb.tar.gz |
IVGCVSW-3381 Break up LayerTests.hpp into more manageable files
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: Icf39434f09fd340ad664cb3b97b8bee6d9da4838
Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/MeanTestImpl.hpp')
-rw-r--r-- | src/backends/backendsCommon/test/layerTests/MeanTestImpl.hpp | 178 |
1 files changed, 178 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/MeanTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/MeanTestImpl.hpp new file mode 100644 index 0000000000..d0bdfa4789 --- /dev/null +++ b/src/backends/backendsCommon/test/layerTests/MeanTestImpl.hpp @@ -0,0 +1,178 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#pragma once + +#include "LayerTestResult.hpp" + +#include <ResolveType.hpp> + +#include <backendsCommon/IBackendInternal.hpp> +#include <backendsCommon/WorkloadFactory.hpp> + +namespace +{ + +template<armnn::DataType ArmnnType, typename T, std::size_t InputDim, std::size_t OutputDim> +LayerTestResult<T, OutputDim> MeanTestHelper( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const unsigned int* inputShape, + const std::vector<float>& inputData, + const std::vector<unsigned int>& axis, + bool keepDims, + const unsigned int* outputShape, + const std::vector<float>& outputData, + float scale = 1.0f, + int32_t offset = 0) +{ + armnn::TensorInfo inputTensorInfo(InputDim, inputShape, ArmnnType); + armnn::TensorInfo outputTensorInfo(OutputDim, outputShape, ArmnnType); + + inputTensorInfo.SetQuantizationScale(scale); + inputTensorInfo.SetQuantizationOffset(offset); + + outputTensorInfo.SetQuantizationScale(scale); + outputTensorInfo.SetQuantizationOffset(offset); + + auto input = MakeTensor<T, InputDim>(inputTensorInfo, ConvertToDataType<ArmnnType>(inputData, inputTensorInfo)); + + LayerTestResult<T, OutputDim> result(outputTensorInfo); + result.outputExpected = MakeTensor<T, OutputDim>( + outputTensorInfo, ConvertToDataType<ArmnnType>(outputData, outputTensorInfo)); + + std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); + std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); + + armnn::MeanQueueDescriptor data; + data.m_Parameters.m_Axis = axis; + data.m_Parameters.m_KeepDims = keepDims; + armnn::WorkloadInfo info; + AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); + AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); + + std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMean(data, info); + + inputHandle->Allocate(); + outputHandle->Allocate(); + + CopyDataToITensorHandle(inputHandle.get(), input.origin()); + + workload->PostAllocationConfigure(); + workload->Execute(); + + CopyDataFromITensorHandle(result.output.origin(), outputHandle.get()); + + return result; +} + +} // anonymous namespace + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 1> MeanSimpleTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = { 3, 2 }; + const unsigned int outputShape[] = { 1 }; + + std::vector<float> input({ 1.5f, 1.5f, 2.5f, 2.5f, 3.5f, 3.5f }); + std::vector<float> output({ 2.5f }); + + return MeanTestHelper<ArmnnType, T, 2, 1>( + workloadFactory, memoryManager, inputShape, input, {}, false, outputShape, output); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 3> MeanSimpleAxisTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = { 2, 3, 1, 2 }; + const unsigned int outputShape[] = { 3, 1, 2 }; + + std::vector<float> input({ 1.5f, 2.5f, 3.5f, 4.5f, 5.5f, 6.5f, 1.5f, 2.5f, 3.5f, 4.5f, 5.5f, 6.5f }); + std::vector<float> output({ 1.5f, 2.5f, 3.5f, 4.5f, 5.5f, 6.5f }); + + return MeanTestHelper<ArmnnType, T, 4, 3>( + workloadFactory, memoryManager, inputShape, input, { 0 }, false, outputShape, output); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 4> MeanKeepDimsTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = { 1, 1, 3, 2 }; + const unsigned int outputShape[] = { 1, 1, 1, 2 }; + + std::vector<float> input({ 1.5f, 1.5f, 2.5f, 2.5f, 3.5f, 3.5f }); + std::vector<float> output({ 2.5f, 2.5f }); + + return MeanTestHelper<ArmnnType, T, 4, 4>( + workloadFactory, memoryManager, inputShape, input, { 2 }, true, outputShape, output); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 4> MeanMultipleDimsTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = { 2, 3, 1, 2 }; + const unsigned int outputShape[] = { 1, 3, 1, 1 }; + + std::vector<float> input({ 1.5f, 2.5f, 3.5f, 4.5f, 5.5f, 6.5f, 1.5f, 2.5f, 3.5f, 4.5f, 5.5f, 6.5 }); + std::vector<float> output({ 2.0f, 4.0f, 6.0f }); + + return MeanTestHelper<ArmnnType, T, 4, 4>( + workloadFactory, memoryManager, inputShape, input, { 0, 3 }, true, outputShape, output); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 1> MeanVts1Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = { 4, 3, 2 }; + const unsigned int outputShape[] = { 2 }; + + std::vector<float> input({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, + 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f }); + std::vector<float> output({ 12.0f, 13.0f }); + + return MeanTestHelper<ArmnnType, T, 3, 1>( + workloadFactory, memoryManager, inputShape, input, { 0, 1 }, false, outputShape, output); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 3> MeanVts2Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = { 4, 3, 2 }; + const unsigned int outputShape[] = { 1, 3, 1 }; + + std::vector<float> input({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, + 15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f }); + std::vector<float> output({ 10.5f, 12.5f, 14.5f }); + + return MeanTestHelper<ArmnnType, T, 3, 3>( + workloadFactory, memoryManager, inputShape, input, { 0, 2 }, true, outputShape, output); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 3> MeanVts3Test( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = { 1, 2, 2, 1 }; + const unsigned int outputShape[] = { 1, 2, 1 }; + + std::vector<float> input({ 1.0f, 2.0f, 3.0f, 4.0f }); + std::vector<float> output({ 1.5f, 3.5f }); + + return MeanTestHelper<ArmnnType, T, 4, 3>( + workloadFactory, memoryManager, inputShape, input, { 2 }, false, outputShape, output); +} |