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Diffstat (limited to 'src/armnn/backends/test/ReshapeTestImpl.hpp')
-rw-r--r-- | src/armnn/backends/test/ReshapeTestImpl.hpp | 177 |
1 files changed, 0 insertions, 177 deletions
diff --git a/src/armnn/backends/test/ReshapeTestImpl.hpp b/src/armnn/backends/test/ReshapeTestImpl.hpp deleted file mode 100644 index 5d32d9d3a6..0000000000 --- a/src/armnn/backends/test/ReshapeTestImpl.hpp +++ /dev/null @@ -1,177 +0,0 @@ -// -// Copyright © 2017 Arm Ltd. All rights reserved. -// SPDX-License-Identifier: MIT -// -#pragma once - -#include <armnn/ArmNN.hpp> -#include <armnn/Tensor.hpp> -#include <armnn/TypesUtils.hpp> -#include <backends/WorkloadInfo.hpp> - -#include "test/TensorHelpers.hpp" -#include "QuantizeHelper.hpp" - -#include "backends/CpuTensorHandle.hpp" -#include "backends/WorkloadFactory.hpp" - -template<typename T> -LayerTestResult<T, 4> SimpleReshapeTestImpl( - armnn::IWorkloadFactory& workloadFactory, - 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::ReshapeQueueDescriptor data; - armnn::WorkloadInfo info; - AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); - AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); - - std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateReshape(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> SimpleReshapeFloat32Test(armnn::IWorkloadFactory& workloadFactory) -{ - armnn::TensorInfo inputTensorInfo; - armnn::TensorInfo outputTensorInfo; - - unsigned int inputShape[] = { 2, 2, 3, 3 }; - unsigned int outputShape[] = { 2, 2, 9, 1 }; - - inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::DataType::Float32); - outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::DataType::Float32); - - std::vector<float> input = std::vector<float>( - { - 0.0f, 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, 17.0f, - - 18.0f, 19.0f, 20.0f, - 21.0f, 22.0f, 23.0f, - 24.0f, 25.0f, 26.0f, - - 27.0f, 28.0f, 29.0f, - 30.0f, 31.0f, 32.0f, - 33.0f, 34.0f, 35.0f, - }); - - std::vector<float> outputExpected = std::vector<float>( - { - 0.0f, 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, 17.0f, - - 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, 26.0f, - - 27.0f, 28.0f, 29.0f, 30.0f, 31.0f, 32.0f, 33.0f, 34.0f, 35.0f, - }); - - return SimpleReshapeTestImpl<float>(workloadFactory, inputTensorInfo, outputTensorInfo, input, outputExpected); -} - -LayerTestResult<float, 4> SimpleFloorTest(armnn::IWorkloadFactory& workloadFactory) -{ - const armnn::TensorInfo inputTensorInfo({1, 3, 2, 3}, armnn::DataType::Float32); - const armnn::TensorInfo outputTensorInfo(inputTensorInfo); - - auto input = MakeTensor<float, 4>(inputTensorInfo, - { -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f, - 1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f }); - - LayerTestResult<float, 4> ret(outputTensorInfo); - ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo, - { -38.0f, -16.0f, -9.0f, -2.0f, -2.0f, -2.0f, -1.0f, -1.0f, 0.0f, - 1.0f, 0.0f, 0.0f, 1.0f, 1.0f, 2.0f, 8.0f, 15.0f, 37.0f }); - - std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); - std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); - - armnn::FloorQueueDescriptor data; - armnn::WorkloadInfo info; - AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); - AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); - - std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateFloor(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<uint8_t, 4> SimpleReshapeUint8Test(armnn::IWorkloadFactory& workloadFactory) -{ - armnn::TensorInfo inputTensorInfo; - armnn::TensorInfo outputTensorInfo; - - unsigned int inputShape[] = { 2, 2, 3, 3 }; - unsigned int outputShape[] = { 2, 2, 9, 1 }; - - 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>( - { - 0, 1, 2, - 3, 4, 5, - 6, 7, 8, - - 9, 10, 11, - 12, 13, 14, - 15, 16, 17, - - 18, 19, 20, - 21, 22, 23, - 24, 25, 26, - - 27, 28, 29, - 30, 31, 32, - 33, 34, 35, - }); - - std::vector<uint8_t> outputExpected = std::vector<uint8_t>( - { - 0, 1, 2, 3, 4, 5, 6, 7, 8, - - 9, 10, 11, 12, 13, 14, 15, 16, 17, - - 18, 19, 20, 21, 22, 23, 24, 25, 26, - - 27, 28, 29, 30, 31, 32, 33, 34, 35, - }); - - return SimpleReshapeTestImpl<uint8_t>(workloadFactory, inputTensorInfo, outputTensorInfo, input, outputExpected); -} |