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Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/AbsTestImpl.cpp')
| -rw-r--r-- | src/backends/backendsCommon/test/layerTests/AbsTestImpl.cpp | 241 |
1 files changed, 241 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/AbsTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/AbsTestImpl.cpp new file mode 100644 index 0000000000..60ac54b701 --- /dev/null +++ b/src/backends/backendsCommon/test/layerTests/AbsTestImpl.cpp @@ -0,0 +1,241 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "AbsTestImpl.hpp" + +#include <armnn/ArmNN.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<T, 2> Abs2dTestCommon( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::TensorInfo inputTensorInfo, + const armnn::TensorInfo outputTensorInfo, + const std::vector<float>& inputValues, + const std::vector<float>& expectedOutputValues) +{ + auto inputTensor = MakeTensor<T, 2>(inputTensorInfo, ConvertToDataType<ArmnnType>(inputValues,inputTensorInfo)); + + LayerTestResult<T, 2> result(outputTensorInfo); + + result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, + ConvertToDataType<ArmnnType>(expectedOutputValues,outputTensorInfo)); + + std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); + std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); + + armnn::AbsQueueDescriptor descriptor; + + armnn::WorkloadInfo info; + + AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); + AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); + + std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAbs(descriptor, info); + + inputHandle->Allocate(); + outputHandle->Allocate(); + + CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0]); + + workload->PostAllocationConfigure(); + workload->Execute(); + + CopyDataFromITensorHandle(&result.output[0][0], outputHandle.get()); + + return result; +} + +} // anonymous namespace + +template<armnn::DataType ArmnnType, typename T> +LayerTestResult<T, 2> Abs2dTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const armnn::TensorShape inputShape{ 2, 2 }; + const armnn::TensorShape outputShape{ 2, 2 }; + + float qScale = 0.0625f; + int32_t qOffset = 64; + + if (ArmnnType == armnn::DataType::QuantisedSymm16) + { + qScale = 0.1f; + qOffset = 0; + } + + armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); + inputTensorInfo.SetQuantizationScale(qScale); + inputTensorInfo.SetQuantizationOffset(qOffset); + + armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType); + outputTensorInfo.SetQuantizationScale(qScale); + outputTensorInfo.SetQuantizationOffset(qOffset); + + std::vector<float> inputValues + { + -0.1f, 0.2f, + 0.3f, -0.4f + }; + + // Calculate output values for input. + auto f = [](float value) + { + return std::abs(value); + }; + std::vector<float> expectedOutputValues(inputValues.size()); + std::transform(inputValues.begin(), inputValues.end(), expectedOutputValues.begin(), f); + + return Abs2dTestCommon<ArmnnType>(workloadFactory, memoryManager, + inputTensorInfo, outputTensorInfo, + inputValues, expectedOutputValues); +} + +template<armnn::DataType ArmnnType, typename T> +LayerTestResult<T, 3> Abs3dTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const armnn::TensorShape inputShape{ 3, 1, 2 }; + const armnn::TensorShape outputShape{ 3, 1, 2 }; + + float qScale = 0.0625f; + int32_t qOffset = 64; + + if (ArmnnType == armnn::DataType::QuantisedSymm16) + { + qScale = 0.1f; + qOffset = 0; + } + + armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); + inputTensorInfo.SetQuantizationScale(qScale); + inputTensorInfo.SetQuantizationOffset(qOffset); + + armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType); + outputTensorInfo.SetQuantizationScale(qScale); + outputTensorInfo.SetQuantizationOffset(qOffset); + + std::vector<float> inputValues + { + -0.1f, -0.2f, -0.3f, + 0.1f, 0.2f, 0.3f + }; + + auto f = [](float value) + { + return std::abs(value); + }; + std::vector<float>expectedOutputValues(inputValues.size()); + std::transform(inputValues.begin(), inputValues.end(), expectedOutputValues.begin(), f); + + auto inputTensor = MakeTensor<T, 3>(inputTensorInfo, ConvertToDataType<ArmnnType>(inputValues,inputTensorInfo)); + + LayerTestResult<T, 3> result(outputTensorInfo); + result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, + ConvertToDataType<ArmnnType>(expectedOutputValues,outputTensorInfo)); + + std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); + std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); + + armnn::AbsQueueDescriptor descriptor; + + armnn::WorkloadInfo info; + + AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); + AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); + + std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateAbs(descriptor, info); + + inputHandle->Allocate(); + outputHandle->Allocate(); + + CopyDataToITensorHandle(inputHandle.get(), &inputTensor[0][0][0]); + + workload->PostAllocationConfigure(); + workload->Execute(); + + CopyDataFromITensorHandle(&result.output[0][0][0], outputHandle.get()); + + return result; +} + +template<armnn::DataType ArmnnType, typename T> +LayerTestResult<T, 2> AbsZeroTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const armnn::TensorShape inputShape{ 1, 2 }; + const armnn::TensorShape outputShape{ 1, 2 }; + + armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); + inputTensorInfo.SetQuantizationScale(0.1f); + + armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType); + outputTensorInfo.SetQuantizationScale(0.1f); + + std::vector<float> inputValues + { + 0.f, -0.f + }; + + std::vector<float> expectedOutputValues + { + 0.f, 0.f + }; + + return Abs2dTestCommon<ArmnnType>(workloadFactory, memoryManager, + inputTensorInfo, outputTensorInfo, + inputValues, expectedOutputValues); +} + +// +// Explicit template specializations +// + +template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2> +Abs2dTest<armnn::DataType::Float32>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 2> +Abs2dTest<armnn::DataType::QuantisedAsymm8>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 2> +Abs2dTest<armnn::DataType::QuantisedSymm16>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 3> +Abs3dTest<armnn::DataType::Float32>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 3> +Abs3dTest<armnn::DataType::QuantisedAsymm8>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 3> +Abs3dTest<armnn::DataType::QuantisedSymm16>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2> +AbsZeroTest<armnn::DataType::Float32>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
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