diff options
author | Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> | 2018-11-01 16:15:57 +0000 |
---|---|---|
committer | Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> | 2018-11-02 14:49:21 +0000 |
commit | c9cc80455ff29fd2c8622c9487ec9c57ade6ea30 (patch) | |
tree | 41b1491312fe6082b39d5d37ffa0dcf0ab0f2817 /src/backends/backendsCommon/test/PermuteTestImpl.hpp | |
parent | 207ef9a6b8b3ea0afe9a095639f67b5dedd095d7 (diff) | |
download | armnn-c9cc80455ff29fd2c8622c9487ec9c57ade6ea30.tar.gz |
IVGCVSW-1946: Remove armnn/src from the include paths
Change-Id: I663a0a0fccb43ee960ec070121a59df9db0bb04e
Diffstat (limited to 'src/backends/backendsCommon/test/PermuteTestImpl.hpp')
-rw-r--r-- | src/backends/backendsCommon/test/PermuteTestImpl.hpp | 225 |
1 files changed, 225 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/PermuteTestImpl.hpp b/src/backends/backendsCommon/test/PermuteTestImpl.hpp new file mode 100644 index 0000000000..529f9d34e0 --- /dev/null +++ b/src/backends/backendsCommon/test/PermuteTestImpl.hpp @@ -0,0 +1,225 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// +#pragma once + +#include "QuantizeHelper.hpp" + +#include <armnn/ArmNN.hpp> +#include <armnn/Tensor.hpp> +#include <armnn/TypesUtils.hpp> + +#include <test/TensorHelpers.hpp> + +#include <backendsCommon/CpuTensorHandle.hpp> +#include <backendsCommon/WorkloadFactory.hpp> + +template<typename T> +LayerTestResult<T, 4> SimplePermuteTestImpl( + armnn::IWorkloadFactory& workloadFactory, + armnn::PermuteDescriptor descriptor, + armnn::TensorInfo inputTensorInfo, + armnn::TensorInfo outputTensorInfo, + const std::vector<T>& inputData, + const std::vector<T>& outputExpectedData) +{ + auto input = MakeTensor<T, 4>(inputTensorInfo, inputData); + + LayerTestResult<T, 4> ret(outputTensorInfo); + ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outputExpectedData); + + std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); + std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); + + armnn::PermuteQueueDescriptor data; + data.m_Parameters = descriptor; + armnn::WorkloadInfo info; + AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); + AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); + + std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePermute(data, 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; +} + +LayerTestResult<float, 4> SimplePermuteFloat32TestCommon(armnn::IWorkloadFactory& workloadFactory) +{ + armnn::TensorInfo inputTensorInfo; + armnn::TensorInfo outputTensorInfo; + + unsigned int inputShape[] = { 1, 2, 2, 2 }; + unsigned int outputShape[] = { 1, 2, 2, 2 }; + + armnn::PermuteDescriptor descriptor; + descriptor.m_DimMappings = {0U, 3U, 1U, 2U}; + + inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::DataType::Float32); + outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::DataType::Float32); + + std::vector<float> input = std::vector<float>( + { + 1.0f, 2.0f, + 3.0f, 4.0f, + + 5.0f, 6.0f, + 7.0f, 8.0f + }); + + std::vector<float> outputExpected = std::vector<float>( + { + 1.0f, 5.0f, 2.0f, 6.0f, + 3.0f, 7.0f, 4.0f, 8.0f + }); + + return SimplePermuteTestImpl<float>(workloadFactory, descriptor, inputTensorInfo, + outputTensorInfo, input, outputExpected); +} + +LayerTestResult<uint8_t, 4> SimplePermuteUint8TestCommon(armnn::IWorkloadFactory& workloadFactory) +{ + armnn::TensorInfo inputTensorInfo; + armnn::TensorInfo outputTensorInfo; + + unsigned int inputShape[] = { 1, 2, 2, 2 }; + unsigned int outputShape[] = { 1, 2, 2, 2 }; + + armnn::PermuteDescriptor descriptor; + descriptor.m_DimMappings = {0U, 3U, 1U, 2U}; + + inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::DataType::QuantisedAsymm8); + inputTensorInfo.SetQuantizationScale(1.0f); + outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::DataType::QuantisedAsymm8); + outputTensorInfo.SetQuantizationScale(1.0f); + + std::vector<uint8_t> input = std::vector<uint8_t>( + { + 1, 2, + 3, 4, + + 5, 6, + 7, 8 + }); + + std::vector<uint8_t> outputExpected = std::vector<uint8_t>( + { + 1, 5, 2, 6, + 3, 7, 4, 8 + }); + + return SimplePermuteTestImpl<uint8_t>(workloadFactory, descriptor, inputTensorInfo, + outputTensorInfo, input, outputExpected); +} + +LayerTestResult<float, 4> +PermuteFloat32ValueSet1TestCommon(armnn::IWorkloadFactory& workloadFactory) +{ + armnn::TensorInfo inputTensorInfo; + armnn::TensorInfo outputTensorInfo; + + unsigned int inputShape[] = { 1, 2, 2, 3 }; + unsigned int outputShape[] = { 1, 3, 2, 2 }; + + armnn::PermuteDescriptor descriptor; + descriptor.m_DimMappings = {0U, 2U, 3U, 1U}; + + inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::DataType::Float32); + outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::DataType::Float32); + + std::vector<float> input = std::vector<float>( + { + 1.0f, 2.0f, 3.0f, + 11.0f, 12.0f, 13.0f, + 21.0f, 22.0f, 23.0f, + 31.0f, 32.0f, 33.0f, + }); + + std::vector<float> outputExpected = std::vector<float>( + { + 1.0f, 11.0f, 21.0f, 31.0f, + 2.0f, 12.0f, 22.0f, 32.0f, + 3.0f, 13.0f, 23.0f, 33.0f, + }); + + return SimplePermuteTestImpl<float>(workloadFactory, descriptor, inputTensorInfo, + outputTensorInfo, input, outputExpected); +} + +LayerTestResult<float, 4> +PermuteFloat32ValueSet2TestCommon(armnn::IWorkloadFactory& workloadFactory) +{ + armnn::TensorInfo inputTensorInfo; + armnn::TensorInfo outputTensorInfo; + + unsigned int inputShape[] = { 1, 3, 2, 2 }; + unsigned int outputShape[] = { 1, 2, 2, 3 }; + + armnn::PermuteDescriptor descriptor; + descriptor.m_DimMappings = {0U, 3U, 1U, 2U}; + + inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::DataType::Float32); + outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::DataType::Float32); + + std::vector<float> input = std::vector<float>( + { + 1.0f, 11.0f, 21.0f, 31.0f, + 2.0f, 12.0f, 22.0f, 32.0f, + 3.0f, 13.0f, 23.0f, 33.0f, + }); + + std::vector<float> outputExpected = std::vector<float>( + { + 1.0f, 2.0f, 3.0f, + 11.0f, 12.0f, 13.0f, + 21.0f, 22.0f, 23.0f, + 31.0f, 32.0f, 33.0f, + }); + + return SimplePermuteTestImpl<float>(workloadFactory, descriptor, inputTensorInfo, + outputTensorInfo, input, outputExpected); +} + +LayerTestResult<float, 4> +PermuteFloat32ValueSet3TestCommon(armnn::IWorkloadFactory& workloadFactory) +{ + armnn::TensorInfo inputTensorInfo; + armnn::TensorInfo outputTensorInfo; + + unsigned int inputShape[] = { 1, 2, 3, 3 }; + unsigned int outputShape[] = { 1, 3, 2, 3 }; + + armnn::PermuteDescriptor descriptor; + descriptor.m_DimMappings = {0U, 2U, 3U, 1U}; + + inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::DataType::Float32); + outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::DataType::Float32); + + std::vector<float> input = std::vector<float>( + { + 1.0f, 2.0f, 3.0f, + 11.0f, 12.0f, 13.0f, + 21.0f, 22.0f, 23.0f, + 31.0f, 32.0f, 33.0f, + 41.0f, 42.0f, 43.0f, + 51.0f, 52.0f, 53.0f, + }); + + std::vector<float> outputExpected = std::vector<float>( + { + 1.0f, 11.0f, 21.0f, 31.0f, 41.0f, 51.0f, + 2.0f, 12.0f, 22.0f, 32.0f, 42.0f, 52.0f, + 3.0f, 13.0f, 23.0f, 33.0f, 43.0f, 53.0f, + }); + + return SimplePermuteTestImpl<float>(workloadFactory, descriptor, inputTensorInfo, + outputTensorInfo, input, outputExpected); +} |