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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include <armnn/Tensor.hpp>
#include <armnn/Types.hpp>
#include <cmath>
#include <ostream>
#include <set>
namespace armnn
{
constexpr char const* GetStatusAsCString(Status status)
{
switch (status)
{
case armnn::Status::Success: return "Status::Success";
case armnn::Status::Failure: return "Status::Failure";
default: return "Unknown";
}
}
constexpr char const* GetActivationFunctionAsCString(ActivationFunction activation)
{
switch (activation)
{
case ActivationFunction::Sigmoid: return "Sigmoid";
case ActivationFunction::TanH: return "TanH";
case ActivationFunction::Linear: return "Linear";
case ActivationFunction::ReLu: return "ReLu";
case ActivationFunction::BoundedReLu: return "BoundedReLu";
case ActivationFunction::SoftReLu: return "SoftReLu";
case ActivationFunction::LeakyReLu: return "LeakyReLu";
case ActivationFunction::Abs: return "Abs";
case ActivationFunction::Sqrt: return "Sqrt";
case ActivationFunction::Square: return "Square";
default: return "Unknown";
}
}
constexpr char const* GetPoolingAlgorithmAsCString(PoolingAlgorithm pooling)
{
switch (pooling)
{
case PoolingAlgorithm::Average: return "Average";
case PoolingAlgorithm::Max: return "Max";
case PoolingAlgorithm::L2: return "L2";
default: return "Unknown";
}
}
constexpr char const* GetOutputShapeRoundingAsCString(OutputShapeRounding rounding)
{
switch (rounding)
{
case OutputShapeRounding::Ceiling: return "Ceiling";
case OutputShapeRounding::Floor: return "Floor";
default: return "Unknown";
}
}
constexpr char const* GetPaddingMethodAsCString(PaddingMethod method)
{
switch (method)
{
case PaddingMethod::Exclude: return "Exclude";
case PaddingMethod::IgnoreValue: return "IgnoreValue";
default: return "Unknown";
}
}
constexpr unsigned int GetDataTypeSize(DataType dataType)
{
switch (dataType)
{
case DataType::Float16: return 2U;
case DataType::Float32:
case DataType::Signed32: return 4U;
case DataType::QuantisedAsymm8: return 1U;
case DataType::QuantisedSymm16: return 2U;
case DataType::Boolean: return 1U;
default: return 0U;
}
}
template <unsigned N>
constexpr bool StrEqual(const char* strA, const char (&strB)[N])
{
bool isEqual = true;
for (unsigned i = 0; isEqual && (i < N); ++i)
{
isEqual = (strA[i] == strB[i]);
}
return isEqual;
}
/// Deprecated function that will be removed together with
/// the Compute enum
constexpr armnn::Compute ParseComputeDevice(const char* str)
{
if (armnn::StrEqual(str, "CpuAcc"))
{
return armnn::Compute::CpuAcc;
}
else if (armnn::StrEqual(str, "CpuRef"))
{
return armnn::Compute::CpuRef;
}
else if (armnn::StrEqual(str, "GpuAcc"))
{
return armnn::Compute::GpuAcc;
}
else
{
return armnn::Compute::Undefined;
}
}
constexpr const char* GetDataTypeName(DataType dataType)
{
switch (dataType)
{
case DataType::Float16: return "Float16";
case DataType::Float32: return "Float32";
case DataType::QuantisedAsymm8: return "Unsigned8";
case DataType::QuantisedSymm16: return "Signed16";
case DataType::Signed32: return "Signed32";
case DataType::Boolean: return "Boolean";
default:
return "Unknown";
}
}
constexpr const char* GetDataLayoutName(DataLayout dataLayout)
{
switch (dataLayout)
{
case DataLayout::NCHW: return "NCHW";
case DataLayout::NHWC: return "NHWC";
default: return "Unknown";
}
}
constexpr const char* GetNormalizationAlgorithmChannelAsCString(NormalizationAlgorithmChannel channel)
{
switch (channel)
{
case NormalizationAlgorithmChannel::Across: return "Across";
case NormalizationAlgorithmChannel::Within: return "Within";
default: return "Unknown";
}
}
constexpr const char* GetNormalizationAlgorithmMethodAsCString(NormalizationAlgorithmMethod method)
{
switch (method)
{
case NormalizationAlgorithmMethod::LocalBrightness: return "LocalBrightness";
case NormalizationAlgorithmMethod::LocalContrast: return "LocalContrast";
default: return "Unknown";
}
}
constexpr const char* GetResizeMethodAsCString(ResizeMethod method)
{
switch (method)
{
case ResizeMethod::Bilinear: return "Bilinear";
case ResizeMethod::NearestNeighbor: return "NearestNeighbour";
default: return "Unknown";
}
}
template<typename T>
struct IsHalfType
: std::integral_constant<bool, std::is_floating_point<T>::value && sizeof(T) == 2>
{};
template<typename T>
constexpr bool IsQuantizedType()
{
return std::is_integral<T>::value;
}
inline std::ostream& operator<<(std::ostream& os, Status stat)
{
os << GetStatusAsCString(stat);
return os;
}
inline std::ostream & operator<<(std::ostream & os, const armnn::TensorShape & shape)
{
os << "[";
for (uint32_t i=0; i<shape.GetNumDimensions(); ++i)
{
if (i!=0)
{
os << ",";
}
os << shape[i];
}
os << "]";
return os;
}
/// Quantize a floating point data type into an 8-bit data type.
/// @param value - The value to quantize.
/// @param scale - The scale (must be non-zero).
/// @param offset - The offset.
/// @return - The quantized value calculated as round(value/scale)+offset.
///
template<typename QuantizedType>
QuantizedType Quantize(float value, float scale, int32_t offset);
/// Dequantize an 8-bit data type into a floating point data type.
/// @param value - The value to dequantize.
/// @param scale - The scale (must be non-zero).
/// @param offset - The offset.
/// @return - The dequantized value calculated as (value-offset)*scale.
///
template <typename QuantizedType>
float Dequantize(QuantizedType value, float scale, int32_t offset);
inline void VerifyTensorInfoDataType(const armnn::TensorInfo & info, armnn::DataType dataType)
{
if (info.GetDataType() != dataType)
{
std::stringstream ss;
ss << "Unexpected datatype:" << armnn::GetDataTypeName(info.GetDataType())
<< " for tensor:" << info.GetShape()
<< ". The type expected to be: " << armnn::GetDataTypeName(dataType);
throw armnn::Exception(ss.str());
}
}
} //namespace armnn
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