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Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/FillTestImpl.cpp')
-rw-r--r-- | src/backends/backendsCommon/test/layerTests/FillTestImpl.cpp | 70 |
1 files changed, 70 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/FillTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/FillTestImpl.cpp new file mode 100644 index 0000000000..00a185ca2d --- /dev/null +++ b/src/backends/backendsCommon/test/layerTests/FillTestImpl.cpp @@ -0,0 +1,70 @@ +// +// Copyright © 2020 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "FillTestImpl.hpp" + +#include <backendsCommon/test/DataTypeUtils.hpp> +#include <backendsCommon/test/TensorCopyUtils.hpp> +#include <backendsCommon/test/WorkloadTestUtils.hpp> + +#include <test/TensorHelpers.hpp> + +template<armnn::DataType ArmnnType, typename T> +LayerTestResult<T, 4> SimpleFillTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + IgnoreUnused(memoryManager); + armnn::TensorInfo inputTensorInfo({4}, ArmnnType); + inputTensorInfo.SetQuantizationScale(0.0f); + + armnn::TensorInfo outputTensorInfo({2, 2, 3, 2}, ArmnnType); + outputTensorInfo.SetQuantizationScale(0.0f); + + auto input = MakeTensor<T, 1>(inputTensorInfo, ConvertToDataType<ArmnnType>( + {2, 2, 3, 2}, + inputTensorInfo)); + + LayerTestResult<T, 4> ret(outputTensorInfo); + ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, 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 = workloadFactory.CreateTensorHandle(inputTensorInfo); + std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.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.CreateFill(data, info); + + inputHandle->Allocate(); + outputHandle->Allocate(); + + CopyDataToITensorHandle(inputHandle.get(), &input[0]); + + workload->Execute(); + + CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); + + return ret; +} + +// +// Explicit template specializations +// +template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4> +SimpleFillTest<armnn::DataType::Float32>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager); + +template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4> +SimpleFillTest<armnn::DataType::Float16>( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
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