| // |
| // Copyright © 2020 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "FillTestImpl.hpp" |
| |
| #include <DataTypeUtils.hpp> |
| #include <armnnTestUtils/TensorCopyUtils.hpp> |
| #include <armnnTestUtils/WorkloadTestUtils.hpp> |
| |
| #include <armnnTestUtils/TensorHelpers.hpp> |
| |
| template<armnn::DataType ArmnnType, typename T> |
| LayerTestResult<T, 4> SimpleFillTest( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory) |
| { |
| IgnoreUnused(memoryManager); |
| armnn::TensorInfo inputTensorInfo({4}, armnn::DataType::Signed32); |
| armnn::TensorInfo outputTensorInfo({2, 2, 3, 2}, ArmnnType); |
| |
| std::vector<int32_t> input = ConvertToDataType<armnn::DataType::Signed32>( { 2, 2, 3, 2 }, inputTensorInfo); |
| |
| std::vector<T> actualOutput(outputTensorInfo.GetNumElements()); |
| std::vector<T> expectedOutput = ConvertToDataType<ArmnnType>( |
| { |
| 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, |
| 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f |
| }, |
| outputTensorInfo); |
| |
| std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo); |
| std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
| |
| armnn::FillQueueDescriptor data; |
| data.m_Parameters.m_Value = 1.0f; |
| armnn::WorkloadInfo info; |
| AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| |
| std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateWorkload(armnn::LayerType::Fill, data, info); |
| |
| inputHandle->Allocate(); |
| outputHandle->Allocate(); |
| |
| CopyDataToITensorHandle(inputHandle.get(), input.data()); |
| |
| workload->Execute(); |
| |
| CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get()); |
| |
| return LayerTestResult<T, 4>(actualOutput, |
| expectedOutput, |
| outputHandle->GetShape(), |
| outputTensorInfo.GetShape()); |
| } |
| |
| // |
| // Explicit template specializations |
| // |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> |
| SimpleFillTest<armnn::DataType::Float32>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4> |
| SimpleFillTest<armnn::DataType::Float16>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory); |
| |
| template LayerTestResult<armnn::ResolveType<armnn::DataType::Signed32>, 4> |
| SimpleFillTest<armnn::DataType::Signed32>( |
| armnn::IWorkloadFactory& workloadFactory, |
| const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| const armnn::ITensorHandleFactory& tensorHandleFactory); |