blob: 69713145c0eb99e8cc931a409246ce0411632996 [file] [log] [blame]
//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include <backendsCommon/CpuTensorHandle.hpp>
#include <armnn/Tensor.hpp>
#include <armnn/Types.hpp>
#include <reference/RefTensorHandle.hpp>
#include <BFloat16.hpp>
#include <Half.hpp>
#include <boost/polymorphic_cast.hpp>
namespace armnn
{
////////////////////////////////////////////
/// float32 helpers
////////////////////////////////////////////
inline const TensorInfo& GetTensorInfo(const ITensorHandle* tensorHandle)
{
// We know that reference workloads use RefTensorHandles for inputs and outputs
const RefTensorHandle* refTensorHandle =
boost::polymorphic_downcast<const RefTensorHandle*>(tensorHandle);
return refTensorHandle->GetTensorInfo();
}
template <typename DataType, typename PayloadType>
const DataType* GetInputTensorData(unsigned int idx, const PayloadType& data)
{
const ITensorHandle* tensorHandle = data.m_Inputs[idx];
return reinterpret_cast<const DataType*>(tensorHandle->Map());
}
template <typename DataType, typename PayloadType>
DataType* GetOutputTensorData(unsigned int idx, const PayloadType& data)
{
ITensorHandle* tensorHandle = data.m_Outputs[idx];
return reinterpret_cast<DataType*>(tensorHandle->Map());
}
template <typename PayloadType>
const float* GetInputTensorDataFloat(unsigned int idx, const PayloadType& data)
{
return GetInputTensorData<float>(idx, data);
}
template <typename PayloadType>
float* GetOutputTensorDataFloat(unsigned int idx, const PayloadType& data)
{
return GetOutputTensorData<float>(idx, data);
}
template <typename PayloadType>
const Half* GetInputTensorDataHalf(unsigned int idx, const PayloadType& data)
{
return GetInputTensorData<Half>(idx, data);
}
template <typename PayloadType>
Half* GetOutputTensorDataHalf(unsigned int idx, const PayloadType& data)
{
return GetOutputTensorData<Half>(idx, data);
}
template <typename PayloadType>
const BFloat16* GetInputTensorDataBFloat16(unsigned int idx, const PayloadType& data)
{
return GetInputTensorData<BFloat16>(idx, data);
}
////////////////////////////////////////////
/// u8 helpers
////////////////////////////////////////////
template<typename T>
std::vector<float> Dequantize(const T* quant, const TensorInfo& info)
{
std::vector<float> ret(info.GetNumElements());
for (size_t i = 0; i < info.GetNumElements(); i++)
{
ret[i] = armnn::Dequantize(quant[i], info.GetQuantizationScale(), info.GetQuantizationOffset());
}
return ret;
}
template<typename T>
inline void Dequantize(const T* inputData, float* outputData, const TensorInfo& info)
{
for (unsigned int i = 0; i < info.GetNumElements(); i++)
{
outputData[i] = Dequantize<T>(inputData[i], info.GetQuantizationScale(), info.GetQuantizationOffset());
}
}
inline void Quantize(uint8_t* quant, const float* dequant, const TensorInfo& info)
{
for (size_t i = 0; i < info.GetNumElements(); i++)
{
quant[i] = armnn::Quantize<uint8_t>(dequant[i], info.GetQuantizationScale(), info.GetQuantizationOffset());
}
}
} //namespace armnn