| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "ReshapeTestImpl.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> Rsqrt2dTestCommon( |
| 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::RsqrtQueueDescriptor descriptor; |
| |
| armnn::WorkloadInfo info; |
| |
| AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| |
| std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateRsqrt(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> Rsqrt2dTest( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| { |
| const armnn::TensorShape inputShape{ 2, 2 }; |
| const armnn::TensorShape outputShape{ 2, 2 }; |
| |
| armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| inputTensorInfo.SetQuantizationScale(0.1f); |
| inputTensorInfo.SetQuantizationOffset(0); |
| |
| armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType); |
| outputTensorInfo.SetQuantizationScale(0.1f); |
| outputTensorInfo.SetQuantizationOffset(0); |
| |
| std::vector<float> inputValues |
| { |
| 1.f, 4.f, |
| 16.f, 25.f |
| }; |
| |
| std::vector<float> expectedOutputValues |
| { |
| 1.f, 0.5f, |
| 0.25f, 0.2f |
| }; |
| |
| return Rsqrt2dTestCommon<ArmnnType>(workloadFactory, memoryManager, |
| inputTensorInfo, outputTensorInfo, |
| inputValues, expectedOutputValues); |
| } |
| |
| template<armnn::DataType ArmnnType, typename T> |
| LayerTestResult<T, 3> Rsqrt3dTest( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| { |
| const armnn::TensorShape inputShape{ 3, 1, 2 }; |
| const armnn::TensorShape outputShape{ 3, 1, 2 }; |
| |
| armnn::TensorInfo inputTensorInfo(inputShape, ArmnnType); |
| inputTensorInfo.SetQuantizationScale(0.1f); |
| inputTensorInfo.SetQuantizationOffset(0); |
| |
| armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType); |
| outputTensorInfo.SetQuantizationScale(0.1f); |
| outputTensorInfo.SetQuantizationOffset(0); |
| |
| std::vector<float> inputValues |
| { |
| 1.f, 4.f, 16.f, |
| 25.f, 64.f, 100.f |
| }; |
| |
| std::vector<float> expectedOutputValues |
| { |
| 1.f, 0.5f, 0.25f, |
| 0.2f, 0.125f, 0.1f |
| }; |
| |
| 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::RsqrtQueueDescriptor descriptor; |
| |
| armnn::WorkloadInfo info; |
| |
| AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| |
| std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateRsqrt(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> RsqrtZeroTest( |
| 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 |
| { |
| INFINITY, -INFINITY |
| }; |
| |
| return Rsqrt2dTestCommon<ArmnnType>(workloadFactory, memoryManager, |
| inputTensorInfo, outputTensorInfo, |
| inputValues, expectedOutputValues); |
| } |
| |
| template<armnn::DataType ArmnnType, typename T> |
| LayerTestResult<T, 2> RsqrtNegativeTest( |
| 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); |
| inputTensorInfo.SetQuantizationOffset(0); |
| |
| armnn::TensorInfo outputTensorInfo(outputShape, ArmnnType); |
| outputTensorInfo.SetQuantizationScale(0.1f); |
| outputTensorInfo.SetQuantizationOffset(0); |
| |
| std::vector<float> inputValues |
| { |
| -25.f, -16.f |
| }; |
| |
| std::vector<float> expectedOutputValues |
| { |
| -NAN, -NAN |
| }; |
| |
| return Rsqrt2dTestCommon<ArmnnType>(workloadFactory, memoryManager, |
| inputTensorInfo, outputTensorInfo, |
| inputValues, expectedOutputValues); |
| } |
| |
| // |
| // Explicit template specializations |
| // |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2> |
| Rsqrt2dTest<armnn::DataType::Float32>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 2> |
| Rsqrt2dTest<armnn::DataType::Float16>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 2> |
| Rsqrt2dTest<armnn::DataType::QuantisedAsymm8>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 2> |
| Rsqrt2dTest<armnn::DataType::QuantisedSymm16>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 3> |
| Rsqrt3dTest<armnn::DataType::Float32>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 3> |
| Rsqrt3dTest<armnn::DataType::Float16>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedAsymm8>, 3> |
| Rsqrt3dTest<armnn::DataType::QuantisedAsymm8>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::QuantisedSymm16>, 3> |
| Rsqrt3dTest<armnn::DataType::QuantisedSymm16>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2> |
| RsqrtZeroTest<armnn::DataType::Float32>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2> |
| RsqrtNegativeTest<armnn::DataType::Float32>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); |