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//
// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ConstantTestImpl.hpp"
#include <QuantizeHelper.hpp>
#include <ResolveType.hpp>
#include <armnnUtils/Permute.hpp>
#include <armnn/backends/TensorHandle.hpp>
#include <armnnTestUtils/TensorCopyUtils.hpp>
#include <armnnTestUtils/WorkloadTestUtils.hpp>
#include <TensorHelpers.hpp>
namespace
{
template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
LayerTestResult<T, 4> ConstantTestImpl(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
const armnn::ITensorHandleFactory& tensorHandleFactory,
float qScale,
int32_t qOffset)
{
IgnoreUnused(memoryManager);
constexpr unsigned int inputWidth = 3;
constexpr unsigned int inputHeight = 4;
constexpr unsigned int inputChannels = 3;
constexpr unsigned int inputBatchSize = 2;
constexpr unsigned int outputWidth = inputWidth;
constexpr unsigned int outputHeight = inputHeight;
constexpr unsigned int outputChannels = inputChannels;
constexpr unsigned int outputBatchSize = inputBatchSize;
armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth },
ArmnnType, qScale, qOffset);
armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth },
ArmnnType, qScale, qOffset);
// Set quantization parameters if the requested type is a quantized type.
if(armnn::IsQuantizedType<T>())
{
inputTensorInfo.SetQuantizationScale(qScale);
inputTensorInfo.SetQuantizationOffset(qOffset);
outputTensorInfo.SetQuantizationScale(qScale);
outputTensorInfo.SetQuantizationOffset(qOffset);
}
auto input = armnnUtils::QuantizedVector<T>(
{
// Batch 0, Channel 0
235.0f, 46.0f, 178.0f,
100.0f, 123.0f, 19.0f,
172.0f, 74.0f, 250.0f,
6.0f, 195.0f, 80.0f,
// Batch 0, Channel 1
113.0f, 95.0f, 202.0f,
77.0f, 114.0f, 71.0f,
122.0f, 246.0f, 166.0f,
82.0f, 28.0f, 37.0f,
// Batch 0, Channel 2
56.0f, 170.0f, 162.0f,
194.0f, 89.0f, 254.0f,
12.0f, 209.0f, 200.0f,
1.0f, 64.0f, 54.0f,
// Batch 1, Channel 0
67.0f, 90.0f, 49.0f,
7.0f, 163.0f, 18.0f,
25.0f, 117.0f, 103.0f,
247.0f, 59.0f, 189.0f,
// Batch 1, Channel 1
239.0f, 104.0f, 199.0f,
17.0f, 124.0f, 153.0f,
222.0f, 217.0f, 75.0f,
32.0f, 126.0f, 21.0f,
// Batch 1, Channel 2
97.0f, 145.0f, 215.0f,
115.0f, 116.0f, 238.0f,
226.0f, 16.0f, 132.0f,
92.0f, 125.0f, 88.0f,
},
qScale, qOffset);
std::vector<T> actualOutput(outputTensorInfo.GetNumElements());
std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
armnn::ScopedTensorHandle constantTensor(inputTensorInfo);
AllocateAndCopyDataToITensorHandle(&constantTensor, input.data());
armnn::ConstantQueueDescriptor descriptor;
descriptor.m_LayerOutput = &constantTensor;
armnn::WorkloadInfo info;
AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());
std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateWorkload(armnn::LayerType::Constant,
descriptor,
info);
outputHandle->Allocate();
workload->PostAllocationConfigure();
workload->Execute();
CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get());
return LayerTestResult<T, 4>(actualOutput,
input,
outputHandle->GetShape(),
outputTensorInfo.GetShape());
}
} // anonymous namespace
LayerTestResult<float, 4> ConstantTest(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
const armnn::ITensorHandleFactory& tensorHandleFactory)
{
return ConstantTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0);
}
LayerTestResult<int16_t, 4> ConstantInt16SimpleQuantizationScaleNoOffsetTest(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
const armnn::ITensorHandleFactory& tensorHandleFactory)
{
return ConstantTestImpl<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, tensorHandleFactory, 1.0f, 0);
}
LayerTestResult<uint8_t, 4> ConstantUint8SimpleQuantizationScaleNoOffsetTest(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
const armnn::ITensorHandleFactory& tensorHandleFactory)
{
return ConstantTestImpl<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 1.0f, 0);
}
LayerTestResult<uint8_t, 4> ConstantUint8CustomQuantizationScaleAndOffsetTest(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
const armnn::ITensorHandleFactory& tensorHandleFactory)
{
return ConstantTestImpl<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 2e-6f, 1);
}
LayerTestResult<int16_t, 4> ConstantInt16CustomQuantizationScaleAndOffsetTest(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
const armnn::ITensorHandleFactory& tensorHandleFactory)
{
return ConstantTestImpl<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, tensorHandleFactory, 2e-6f, 1);
}
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