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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "FakeQuantizationTestImpl.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)
{
boost::ignore_unused(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;
}
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