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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/BatchToSpaceNdTestImpl.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/BatchToSpaceNdTestImpl.hpp')
-rw-r--r-- | src/backends/backendsCommon/test/layerTests/BatchToSpaceNdTestImpl.hpp | 473 |
1 files changed, 473 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/BatchToSpaceNdTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/BatchToSpaceNdTestImpl.hpp new file mode 100644 index 0000000000..67e7cc5f6e --- /dev/null +++ b/src/backends/backendsCommon/test/layerTests/BatchToSpaceNdTestImpl.hpp @@ -0,0 +1,473 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#pragma once + +#include "LayerTestResult.hpp" + +#include <ResolveType.hpp> + +#include <armnn/ArmNN.hpp> + +#include <backendsCommon/IBackendInternal.hpp> +#include <backendsCommon/WorkloadFactory.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, + std::size_t InputDim, + std::size_t OutputDim, + typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, OutputDim> BatchToSpaceNdHelper( + armnn::IWorkloadFactory &workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + const armnn::DataLayout& dataLayout, + const unsigned int *inputShape, + const std::vector<float> &inputData, + const std::vector<unsigned int> &blockShape, + const std::vector<std::pair<unsigned int, unsigned int>> &crops, + 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::BatchToSpaceNdQueueDescriptor data; + data.m_Parameters.m_DataLayout = dataLayout; + data.m_Parameters.m_BlockShape = blockShape; + data.m_Parameters.m_Crops = crops; + armnn::WorkloadInfo info; + AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); + AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); + + std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateBatchToSpaceNd(data, info); + + inputHandle->Allocate(); + outputHandle->Allocate(); + + CopyDataToITensorHandle(inputHandle.get(), input.origin()); + + workload->PostAllocationConfigure(); + workload->Execute(); + + CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); + + return result; +} + +} // anonymous namespace + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 4> BatchToSpaceNdNhwcTest1( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = {4, 2, 2, 1}; + const unsigned int outputShape[] = {1, 4, 4, 1}; + + std::vector<float> input({ + // Batch 0, Height 0, Width (2) x Channel (1) + 1.0f, 3.0f, + // Batch 0, Height 1, Width (2) x Channel (1) + 9.0f, 11.0f, + + + // Batch 1, Height 0, Width (2) x Channel (1) + 2.0f, 4.0f, + // Batch 1, Height 1, Width (2) x Channel (1) + 10.0f, 12.0f, + + + // Batch 2, Height 0, Width (2) x Channel (1) + 5.0f, 7.0f, + // Batch 2, Height 1, Width (2) x Channel (1) + 13.0f, 15.0f, + + // Batch 3, Height 0, Width (2) x Channel (3) + 6.0f, 8.0f, + // Batch 3, Height 1, Width (2) x Channel (1) + 14.0f, 16.0f + }); + + std::vector<float> expectedOutput({ + 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 + }); + + std::vector<unsigned int> blockShape {2, 2}; + std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; + + return BatchToSpaceNdHelper<ArmnnType, 4, 4>(workloadFactory, memoryManager, + armnn::DataLayout::NHWC, inputShape, input, blockShape, + crops, outputShape, expectedOutput); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 4> BatchToSpaceNdNhwcTest2( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = {4, 1, 1, 1}; + const unsigned int outputShape[] = {1, 2, 2, 1}; + + std::vector<float> input({ + // Batch 0, Height 0, Width (2) x Channel (1) + 1.0f, 2.0f, 3.0f, 4.0f + }); + + std::vector<float> expectedOutput({1.0f, 2.0f, 3.0f, 4.0f}); + + std::vector<unsigned int> blockShape({2, 2}); + std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; + + return BatchToSpaceNdHelper<ArmnnType, 4, 4>(workloadFactory, memoryManager, + armnn::DataLayout::NHWC, inputShape, input, blockShape, + crops, outputShape, expectedOutput); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 4> BatchToSpaceNdNhwcTest3( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = {4, 1, 1, 3}; + const unsigned int outputShape[] = {1, 2, 2, 3}; + + 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}); + + std::vector<float> expectedOutput({1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f}); + + std::vector<unsigned int> blockShape({2, 2}); + std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; + + return BatchToSpaceNdHelper<ArmnnType, 4, 4>(workloadFactory, memoryManager, + armnn::DataLayout::NHWC, inputShape, input, blockShape, + crops, outputShape, expectedOutput); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 4> BatchToSpaceNdNhwcTest4( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = {8, 1, 3, 1}; + const unsigned int outputShape[] = {2, 2, 4, 1}; + + std::vector<float> input({ + 0.0f, 1.0f, 3.0f, + 0.0f, 9.0f, 11.0f, + 0.0f, 2.0f, 4.0f, + 0.0f, 10.0f, 12.0f, + 0.0f, 5.0f, 7.0f, + 0.0f, 13.0f, 15.0f, + 0.0f, 6.0f, 8.0f, + 0.0f, 14.0f, 16.0f + }); + + std::vector<float> expectedOutput({ + 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 + }); + + std::vector<unsigned int> blockShape({2, 2}); + std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {2, 0}}; + + return BatchToSpaceNdHelper<ArmnnType, 4, 4>(workloadFactory, memoryManager, + armnn::DataLayout::NHWC, inputShape, input, blockShape, + crops, outputShape, expectedOutput); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 4> BatchToSpaceNdNhwcTest5( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = {4, 2, 2, 1}; + const unsigned int outputShape[] = {1, 4, 4, 1}; + + std::vector<float> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16}); + std::vector<float> expectedOutput({1, 5, 2, 6, 9, 13, 10, 14, 3, 7, 4, 8, 11, 15, 12, 16}); + + std::vector<unsigned int> blockShape({2, 2}); + std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; + + return BatchToSpaceNdHelper<ArmnnType, 4, 4>(workloadFactory, memoryManager, armnn::DataLayout::NHWC, inputShape, + input, blockShape, crops, outputShape, expectedOutput); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 4> BatchToSpaceNdNhwcTest6( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = {4, 1, 1, 1}; + const unsigned int outputShape[] = {1, 2, 2, 1}; + + std::vector<float> input({ + // Batch 0, Height 0, Width (2) x Channel (1) + 1, 2, 3, 4 + }); + + std::vector<float> expectedOutput({1, 2, 3, 4}); + + std::vector<unsigned int> blockShape({2, 2}); + std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; + + return BatchToSpaceNdHelper<ArmnnType, 4, 4>(workloadFactory, memoryManager, + armnn::DataLayout::NHWC, inputShape, input, blockShape, + crops, outputShape, expectedOutput); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 4> BatchToSpaceNdNhwcTest7( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = {4, 1, 1, 3}; + const unsigned int outputShape[] = {1, 2, 2, 3}; + + std::vector<float> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); + + std::vector<float> expectedOutput({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); + + std::vector<unsigned int> blockShape({2, 2}); + std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; + + return BatchToSpaceNdHelper<ArmnnType, 4, 4>(workloadFactory, memoryManager, + armnn::DataLayout::NHWC, inputShape, input, blockShape, + crops, outputShape, expectedOutput); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 4> BatchToSpaceNdNchwTest1( + armnn::IWorkloadFactory &workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = {4, 3, 1, 1}; + const unsigned int outputShape[] = {1, 3, 2, 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}); + + std::vector<float> expectedOutput({ + // Batch 0, Channel 0, Height (2) x Width (2) + 1.0f, 4.0f, + 7.0f, 10.0f, + + // Batch 0, Channel 1, Height (2) x Width (2) + 2.0f, 5.0f, + 8.0f, 11.0f, + + // Batch 0, Channel 2, Height (2) x Width (2) + 3.0f, 6.0f, + 9.0f, 12.0f, + }); + + std::vector<unsigned int> blockShape({2, 2}); + std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; + + return BatchToSpaceNdHelper<ArmnnType, 4, 4>(workloadFactory, memoryManager, + armnn::DataLayout::NCHW, inputShape, input, blockShape, + crops, outputShape, expectedOutput); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 4> BatchToSpaceNdNchwTest2( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = {4, 1, 1, 1}; + const unsigned int outputShape[] = {1, 1, 2, 2}; + + std::vector<float> input({ + // Batch 0, Height 0, Width (2) x Channel (1) + 1.0f, 2.0f, 3.0f, 4.0f + }); + + std::vector<float> expectedOutput({1.0f, 2.0f, 3.0f, 4.0f}); + + std::vector<unsigned int> blockShape({2, 2}); + std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; + + return BatchToSpaceNdHelper<ArmnnType, 4, 4>(workloadFactory, memoryManager, + armnn::DataLayout::NCHW, inputShape, input, blockShape, + crops, outputShape, expectedOutput); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 4> BatchToSpaceNdNchwTest3( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = {4, 3, 1, 1}; + const unsigned int outputShape[] = {1, 3, 2, 2}; + + std::vector<float> input({1.0f, 3.0f, 5.0f, 7.0f, 9.0f, 11.0f, 2.0f, 4.0f, 6.0f, 8.0f, 10.0f, 12.0f}); + + std::vector<float> expectedOutput({ + // Batch 0, Channel 0, Height (2) x Width (2) + 1.0f, 7.0f, + 2.0f, 8.0f, + + // Batch 0, Channel 1, Height (2) x Width (2) + 3.0f, 9.0f, + 4.0f, 10.0f, + + // Batch 0, Channel 2, Height (2) x Width (2) + 5.0f, 11.0f, + 6.0f, 12.0f, + }); + + std::vector<unsigned int> blockShape({2, 2}); + std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; + + return BatchToSpaceNdHelper<ArmnnType, 4, 4>(workloadFactory, memoryManager, + armnn::DataLayout::NCHW, inputShape, input, blockShape, + crops, outputShape, expectedOutput); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 4> BatchToSpaceNdNchwTest4( + armnn::IWorkloadFactory &workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = {4, 3, 1, 1}; + const unsigned int outputShape[] = {1, 3, 2, 2}; + + std::vector<float> input({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); + + std::vector<float> expectedOutput({ + // Batch 0, Channel 0, Height (2) x Width (2) + 1, 4, + 7, 10, + + // Batch 0, Channel 1, Height (2) x Width (2) + 2, 5, + 8, 11, + + // Batch 0, Channel 2, Height (2) x Width (2) + 3, 6, + 9, 12, + }); + + std::vector<unsigned int> blockShape({2, 2}); + std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; + + return BatchToSpaceNdHelper<ArmnnType, 4, 4>(workloadFactory, memoryManager, + armnn::DataLayout::NCHW, inputShape, input, blockShape, + crops, outputShape, expectedOutput); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 4> BatchToSpaceNdNchwTest5( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = {4, 1, 1, 1}; + const unsigned int outputShape[] = {1, 1, 2, 2}; + + std::vector<float> input({ + // Batch 0, Height 0, Width (2) x Channel (1) + 1, 2, 3, 4 + }); + + std::vector<float> expectedOutput({1, 2, 3, 4}); + + std::vector<unsigned int> blockShape({2, 2}); + std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; + + return BatchToSpaceNdHelper<ArmnnType, 4, 4>(workloadFactory, memoryManager, + armnn::DataLayout::NCHW, inputShape, input, blockShape, + crops, outputShape, expectedOutput); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 4> BatchToSpaceNdNchwTest6( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = {4, 3, 1, 1}; + const unsigned int outputShape[] = {1, 3, 2, 2}; + + std::vector<float> input({1, 3, 5, 7, 9, 11, 2, 4, 6, 8, 10, 12}); + + std::vector<float> expectedOutput({ + // Batch 0, Channel 0, Height (2) x Width (2) + 1, 7, + 2, 8, + + // Batch 0, Channel 1, Height (2) x Width (2) + 3, 9, + 4, 10, + + // Batch 0, Channel 2, Height (2) x Width (2) + 5, 11, + 6, 12, + }); + + std::vector<unsigned int> blockShape({2, 2}); + std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}}; + + return BatchToSpaceNdHelper<ArmnnType, 4, 4>(workloadFactory, memoryManager, + armnn::DataLayout::NCHW, inputShape, input, blockShape, + crops, outputShape, expectedOutput); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 4> BatchToSpaceNdNchwTest7( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const unsigned int inputShape[] = {8, 1, 1, 3}; + const unsigned int outputShape[] = {2, 1, 2, 4}; + + std::vector<float> input({ + 0, 1, 3, 0, 9, 11, + 0, 2, 4, 0, 10, 12, + 0, 5, 7, 0, 13, 15, + 0, 6, 8, 0, 14, 16 + }); + + std::vector<float> expectedOutput({ + 1, 2, 3, 4, + 5, 6, 7, 8, + 9, 10, 11, 12, + 13, 14, 15, 16 + }); + + std::vector<unsigned int> blockShape({2, 2}); + std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {2, 0}}; + + return BatchToSpaceNdHelper<ArmnnType, 4, 4>(workloadFactory, memoryManager, + armnn::DataLayout::NCHW, inputShape, input, blockShape, + crops, outputShape, expectedOutput); +} |