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//
// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include "BaseIterator.hpp"
#include <armnnUtils/TensorUtils.hpp>
namespace armnn
{
template<typename T>
inline std::unique_ptr<Encoder<T>> MakeEncoder(const TensorInfo& info, void* data = nullptr);
template<>
inline std::unique_ptr<Encoder<float>> MakeEncoder(const TensorInfo& info, void* data)
{
switch(info.GetDataType())
{
case armnn::DataType::QAsymmS8:
{
return std::make_unique<QASymmS8Encoder>(
static_cast<int8_t*>(data),
info.GetQuantizationScale(),
info.GetQuantizationOffset());
}
case armnn::DataType::QAsymmU8:
{
return std::make_unique<QASymm8Encoder>(
static_cast<uint8_t*>(data),
info.GetQuantizationScale(),
info.GetQuantizationOffset());
}
case DataType::QSymmS8:
{
if (info.HasPerAxisQuantization())
{
std::pair<unsigned int, std::vector<float>> params = armnnUtils::GetPerAxisParams(info);
return std::make_unique<QSymm8PerAxisEncoder>(
static_cast<int8_t*>(data),
params.second,
params.first);
}
else
{
return std::make_unique<QSymmS8Encoder>(
static_cast<int8_t*>(data),
info.GetQuantizationScale(),
info.GetQuantizationOffset());
}
}
case armnn::DataType::QSymmS16:
{
if (info.HasPerAxisQuantization())
{
unsigned int axis = info.GetQuantizationDim().value();
auto axisDimensionality = info.GetShape()[axis];
std::pair<unsigned int, std::vector<float>> params = armnnUtils::GetPerAxisParams(info);
return std::make_unique<QSymm16PerAxisEncoder>(
static_cast<int16_t*>(data),
params.second,
params.first,
axisDimensionality);
}
else
{
return std::make_unique<QSymm16Encoder>(
static_cast<int16_t *>(data),
info.GetQuantizationScale(),
info.GetQuantizationOffset());
}
}
case armnn::DataType::Signed32:
{
return std::make_unique<Int32Encoder>(static_cast<int32_t*>(data));
}
case armnn::DataType::Float16:
{
return std::make_unique<Float16Encoder>(static_cast<Half*>(data));
}
case armnn::DataType::Float32:
{
return std::make_unique<Float32Encoder>(static_cast<float*>(data));
}
default:
{
throw InvalidArgumentException("Unsupported target Data Type!");
break;
}
}
return nullptr;
}
template<>
inline std::unique_ptr<Encoder<double_t>> MakeEncoder(const TensorInfo& info, void* data)
{
switch(info.GetDataType())
{
case armnn::DataType::Signed64:
{
return std::make_unique<Int64Encoder>(static_cast<int64_t*>(data));
}
default:
{
throw InvalidArgumentException("Cannot encode from double. Unsupported target Data Type!");
break;
}
}
return nullptr;
}
template<>
inline std::unique_ptr<Encoder<bool>> MakeEncoder(const TensorInfo& info, void* data)
{
switch(info.GetDataType())
{
case armnn::DataType::Boolean:
{
return std::make_unique<BooleanEncoder>(static_cast<uint8_t*>(data));
}
default:
{
throw InvalidArgumentException("Cannot encode from boolean. Unsupported target Data Type!");
break;
}
}
return nullptr;
}
template<>
inline std::unique_ptr<Encoder<int32_t>> MakeEncoder(const TensorInfo& info, void* data)
{
switch(info.GetDataType())
{
case DataType::Signed32:
{
return std::make_unique<Int32ToInt32tEncoder>(static_cast<int32_t*>(data));
}
default:
{
throw InvalidArgumentException("Cannot encode from int32. Unsupported Data Type!");
break;
}
}
return nullptr;
}
} //namespace armnn
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