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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include "BaseIterator.hpp"
#include <boost/assert.hpp>
namespace armnn
{
template<typename T>
inline std::unique_ptr<Decoder<T>> MakeDecoder(const TensorInfo& info, const void* data = nullptr);
template<>
inline std::unique_ptr<Decoder<float>> MakeDecoder(const TensorInfo& info, const void* data)
{
switch(info.GetDataType())
{
case armnn::DataType::QuantisedAsymm8:
{
return std::make_unique<QASymm8Decoder>(
static_cast<const uint8_t*>(data),
info.GetQuantizationScale(),
info.GetQuantizationOffset());
}
case armnn::DataType::QuantisedSymm16:
{
return std::make_unique<QSymm16Decoder>(
static_cast<const int16_t*>(data),
info.GetQuantizationScale(),
info.GetQuantizationOffset());
}
case armnn::DataType::Float32:
{
return std::make_unique<FloatDecoder>(static_cast<const float*>(data));
}
case armnn::DataType::Signed32:
{
const float scale = info.GetQuantizationScale();
if (scale == 0.f)
{
return std::make_unique<Int32Decoder>(static_cast<const int32_t*>(data));
}
// NOTE: ScaledInt32Decoder is used for quantized convolution biases
return std::make_unique<ScaledInt32Decoder>(static_cast<const int32_t*>(data), scale);
}
default:
{
BOOST_ASSERT_MSG(false, "Not supported Data Type!");
break;
}
}
return nullptr;
}
} //namespace armnn
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