diff options
Diffstat (limited to 'src/backends/backendsCommon/test/FloorTestImpl.hpp')
-rw-r--r-- | src/backends/backendsCommon/test/FloorTestImpl.hpp | 56 |
1 files changed, 56 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/FloorTestImpl.hpp b/src/backends/backendsCommon/test/FloorTestImpl.hpp new file mode 100644 index 0000000000..419b1b7bd8 --- /dev/null +++ b/src/backends/backendsCommon/test/FloorTestImpl.hpp @@ -0,0 +1,56 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// +#pragma once + +#include "QuantizeHelper.hpp" +#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> + +LayerTestResult<float, 4> SimpleFloorTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + 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; +} |