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author | Keith Davis <keith.davis@arm.com> | 2019-06-14 17:33:22 +0100 |
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committer | Keith Davis <keith.davis@arm.com> | 2019-06-19 14:43:26 +0100 |
commit | a57eccbe313557b9eafec40b39bac3115d9b930d (patch) | |
tree | 2522157537f46fa2e54c0405d9e9e60f5f0a9ae1 /src/backends/backendsCommon/test/SpaceToDepthTestImpl.hpp | |
parent | ab9e52563f624d9782b97400f643d2632cc8d770 (diff) | |
download | armnn-a57eccbe313557b9eafec40b39bac3115d9b930d.tar.gz |
IVGCVSW-3231 Add reference workload support for SpaceToDepth
* Added reference workload for SpaceToDepth
* Added unit tests for float32 & uint8
* Minor sort refactoring to RefWorkloads.hpp to alphabetical order
Change-Id: I2e01f8101650e2aae102a8a32bc0064f067141ab
Signed-off-by: Keith Davis <keith.davis@arm.com>
Diffstat (limited to 'src/backends/backendsCommon/test/SpaceToDepthTestImpl.hpp')
-rw-r--r-- | src/backends/backendsCommon/test/SpaceToDepthTestImpl.hpp | 147 |
1 files changed, 147 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/SpaceToDepthTestImpl.hpp b/src/backends/backendsCommon/test/SpaceToDepthTestImpl.hpp new file mode 100644 index 0000000000..99926cd026 --- /dev/null +++ b/src/backends/backendsCommon/test/SpaceToDepthTestImpl.hpp @@ -0,0 +1,147 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// +#pragma once + +#include "WorkloadTestUtils.hpp" + +#include <armnn/ArmNN.hpp> +#include <armnn/Tensor.hpp> +#include <armnn/TypesUtils.hpp> + +#include <backendsCommon/CpuTensorHandle.hpp> +#include <backendsCommon/IBackendInternal.hpp> +#include <backendsCommon/WorkloadFactory.hpp> + +#include <test/TensorHelpers.hpp> + +template<typename T> +LayerTestResult<T, 4> SpaceToDepthTestImpl( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + armnn::TensorInfo& inputTensorInfo, + armnn::TensorInfo& outputTensorInfo, + std::vector<float>& inputData, + std::vector<float>& outputExpectedData, + armnn::SpaceToDepthQueueDescriptor descriptor, + const float qScale = 1.0f, + const int32_t qOffset = 0) +{ + const armnn::PermutationVector NHWCToNCHW = {0, 2, 3, 1}; + + if (descriptor.m_Parameters.m_DataLayout == armnn::DataLayout::NCHW) + { + inputTensorInfo = armnnUtils::Permuted(inputTensorInfo, NHWCToNCHW); + outputTensorInfo = armnnUtils::Permuted(outputTensorInfo, NHWCToNCHW); + + std::vector<float> inputTmp(inputData.size()); + armnnUtils::Permute(inputTensorInfo.GetShape(), NHWCToNCHW, + inputData.data(), inputTmp.data(), sizeof(float)); + inputData = inputTmp; + + std::vector<float> outputTmp(outputExpectedData.size()); + armnnUtils::Permute(outputTensorInfo.GetShape(), NHWCToNCHW, + outputExpectedData.data(), outputTmp.data(), sizeof(float)); + outputExpectedData = outputTmp; + } + + if(armnn::IsQuantizedType<T>()) + { + inputTensorInfo.SetQuantizationScale(qScale); + inputTensorInfo.SetQuantizationOffset(qOffset); + outputTensorInfo.SetQuantizationScale(qScale); + outputTensorInfo.SetQuantizationOffset(qOffset); + } + + boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, inputData)); + + LayerTestResult<T, 4> ret(outputTensorInfo); + ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, outputExpectedData)); + + std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); + std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); + + armnn::WorkloadInfo info; + AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); + AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); + + std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateSpaceToDepth(descriptor, info); + + inputHandle->Allocate(); + outputHandle->Allocate(); + + CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); + + workload->Execute(); + + CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); + + return ret; +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 4> SpaceToDepthSimpleTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + armnn::DataLayout dataLayout = armnn::DataLayout::NHWC) +{ + unsigned int inputShape[] = {1, 2, 2, 1}; + unsigned int outputShape[] = {1, 1, 1, 4}; + + std::vector<float> input = std::vector<float>( + { + 1.0f, 2.0f, 3.0f, 4.0f + }); + + std::vector<float> outputExpected = std::vector<float>( + { + 1.0f, 2.0f, 3.0f, 4.0f + }); + + armnn::TensorInfo inputTensorInfo; + armnn::TensorInfo outputTensorInfo; + + armnn::SpaceToDepthQueueDescriptor desc; + desc.m_Parameters.m_DataLayout = dataLayout; + desc.m_Parameters.m_BlockSize = 2; + + inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); + outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); + + return SpaceToDepthTestImpl<T>( + workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 4> SpaceToDepthFloatTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, + armnn::DataLayout dataLayout = armnn::DataLayout::NHWC) +{ + unsigned int inputShape[] = {1, 2, 2, 2}; + unsigned int outputShape[] = {1, 1, 1, 8}; + + std::vector<float> input = std::vector<float>( + { + 1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f + }); + + std::vector<float> outputExpected = std::vector<float>( + { + 1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f + }); + + armnn::TensorInfo inputTensorInfo; + armnn::TensorInfo outputTensorInfo; + + armnn::SpaceToDepthQueueDescriptor desc; + desc.m_Parameters.m_DataLayout = dataLayout; + desc.m_Parameters.m_BlockSize = 2; + + inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); + outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); + + return SpaceToDepthTestImpl<T>( + workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); +} |