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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/FakeQuantizationTestImpl.cpp | |
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/FakeQuantizationTestImpl.cpp')
-rw-r--r-- | src/backends/backendsCommon/test/layerTests/FakeQuantizationTestImpl.cpp | 74 |
1 files changed, 74 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/FakeQuantizationTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/FakeQuantizationTestImpl.cpp new file mode 100644 index 0000000000..1ce9d2dac7 --- /dev/null +++ b/src/backends/backendsCommon/test/layerTests/FakeQuantizationTestImpl.cpp @@ -0,0 +1,74 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "FakeQuantizationTestImpl.hpp" + +#include <armnn/ArmNN.hpp> + +#include <backendsCommon/CpuTensorHandle.hpp> + +#include <backendsCommon/test/TensorCopyUtils.hpp> +#include <backendsCommon/test/WorkloadTestUtils.hpp> + +#include <test/TensorHelpers.hpp> + +LayerTestResult<float, 2> FakeQuantizationTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + constexpr unsigned int width = 2; + constexpr unsigned int height = 3; + + const armnn::TensorInfo tensorInfo({height, width }, + armnn::DataType::Float32); + + auto input = MakeTensor<float, 2>(tensorInfo, std::vector<float>({ + -10.0f, -5.0f, + 0.0f, 5.0f, + 10.0f, 10.0f + })); + + LayerTestResult<float, 2> ret(tensorInfo); + + std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(tensorInfo); + std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(tensorInfo); + + armnn::FakeQuantizationQueueDescriptor data; + armnn::WorkloadInfo info; + + AddInputToWorkload(data, info, tensorInfo, inputHandle.get()); + AddOutputToWorkload(data, info, tensorInfo, outputHandle.get()); + + float min = -10.f; + float max = 10.f; + + data.m_Parameters.m_Min = min; + data.m_Parameters.m_Max = max; + + armnn::PassthroughCpuTensorHandle refHandle(tensorInfo, &ret.outputExpected[0][0]); + armnn::FakeQuantizationQueueDescriptor refData = data; + armnn::WorkloadInfo refInfo = info; + SetWorkloadOutput(refData, refInfo, 0, tensorInfo, &refHandle); + + std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateFakeQuantization(data, info); + + inputHandle->Allocate(); + outputHandle->Allocate(); + + CopyDataToITensorHandle(inputHandle.get(), &input[0][0]); + + workload->PostAllocationConfigure(); + workload->Execute(); + + CopyDataFromITensorHandle(&ret.output[0][0], outputHandle.get()); + + ret.outputExpected = MakeTensor<float, 2>(tensorInfo, std::vector<float>({ + 0.0f, 63.0f, + 128.0f, 191.0f, + 255.0f, 255.0f + })); + + return ret; +} |