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“696f6453d05353468f0ec842f63c2ff88d6a4e56”上不存在“...contrib/git@gitcode.net:s920243400/PaddleDetection.git”
提交 3b55f153 编写于 作者: L liuqi
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Support opencl image2d format and add buffer to image opencl kernel.

上级 0f27434c
隐藏空白更改
内联 并排
Showing with 4116 addition and 187 deletion
mace/core/allocator.h
浏览文件 @ 3b55f153
......@@ -10,6 +10,7 @@
#include "mace/core/common.h"
#include "mace/core/registry.h"
#include "mace/proto/mace.pb.h"
#include "mace/core/types.h"
namespace mace {
......@@ -26,8 +27,14 @@ class Allocator {
Allocator() {}
virtual ~Allocator() noexcept {}
virtual void *New(size_t nbytes) = 0;
virtual void *NewImage(const std::vector<size_t> &image_shape,
const DataType dt) = 0;
virtual void Delete(void *data) = 0;
virtual void DeleteImage(void *data) = 0;
virtual void *Map(void *buffer, size_t nbytes) = 0;
virtual void *MapImage(void *buffer,
const std::vector<size_t> &image_shape,
std::vector<size_t> &mapped_image_pitch) = 0;
virtual void Unmap(void *buffer, void *mapper_ptr) = 0;
virtual bool OnHost() = 0;
......@@ -58,8 +65,19 @@ class CPUAllocator : public Allocator {
return data;
}
void *NewImage(const std::vector<size_t> &shape,
const DataType dt) override {
return nullptr;
}
void Delete(void *data) override { free(data); }
void DeleteImage(void *data) override { free(data); };
void *Map(void *buffer, size_t nbytes) override { return buffer; }
void *MapImage(void *buffer,
const std::vector<size_t> &image_shape,
std::vector<size_t> &mapped_image_pitch) override {
return buffer;
}
void Unmap(void *buffer, void *mapper_ptr) override {}
bool OnHost() override { return true; }
};
......
mace/core/half.h 0 → 100644
浏览文件 @ 3b55f153
// half - IEEE 754-based half-precision floating point library.
//
// Copyright (c) 2012-2017 Christian Rau <rauy@users.sourceforge.net>
//
// Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation
// files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy,
// modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the
// Software is furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE
// WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
// COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,
// ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
// Version 1.12.0
/// \file
/// Main header file for half precision functionality.
#ifndef HALF_HALF_HPP
#define HALF_HALF_HPP
/// Combined gcc version number.
#define HALF_GNUC_VERSION (__GNUC__*100+__GNUC_MINOR__)
//check C++11 language features
#if defined(__clang__) //clang
#if __has_feature(cxx_static_assert) && !defined(HALF_ENABLE_CPP11_STATIC_ASSERT)
#define HALF_ENABLE_CPP11_STATIC_ASSERT 1
#endif
#if __has_feature(cxx_constexpr) && !defined(HALF_ENABLE_CPP11_CONSTEXPR)
#define HALF_ENABLE_CPP11_CONSTEXPR 1
#endif
#if __has_feature(cxx_noexcept) && !defined(HALF_ENABLE_CPP11_NOEXCEPT)
#define HALF_ENABLE_CPP11_NOEXCEPT 1
#endif
#if __has_feature(cxx_user_literals) && !defined(HALF_ENABLE_CPP11_USER_LITERALS)
#define HALF_ENABLE_CPP11_USER_LITERALS 1
#endif
#if (defined(__GXX_EXPERIMENTAL_CXX0X__) || __cplusplus >= 201103L) && !defined(HALF_ENABLE_CPP11_LONG_LONG)
#define HALF_ENABLE_CPP11_LONG_LONG 1
#endif
/*#elif defined(__INTEL_COMPILER) //Intel C++
#if __INTEL_COMPILER >= 1100 && !defined(HALF_ENABLE_CPP11_STATIC_ASSERT) ????????
#define HALF_ENABLE_CPP11_STATIC_ASSERT 1
#endif
#if __INTEL_COMPILER >= 1300 && !defined(HALF_ENABLE_CPP11_CONSTEXPR) ????????
#define HALF_ENABLE_CPP11_CONSTEXPR 1
#endif
#if __INTEL_COMPILER >= 1300 && !defined(HALF_ENABLE_CPP11_NOEXCEPT) ????????
#define HALF_ENABLE_CPP11_NOEXCEPT 1
#endif
#if __INTEL_COMPILER >= 1100 && !defined(HALF_ENABLE_CPP11_LONG_LONG) ????????
#define HALF_ENABLE_CPP11_LONG_LONG 1
#endif*/
#elif defined(__GNUC__) //gcc
#if defined(__GXX_EXPERIMENTAL_CXX0X__) || __cplusplus >= 201103L
#if HALF_GNUC_VERSION >= 403 && !defined(HALF_ENABLE_CPP11_STATIC_ASSERT)
#define HALF_ENABLE_CPP11_STATIC_ASSERT 1
#endif
#if HALF_GNUC_VERSION >= 406 && !defined(HALF_ENABLE_CPP11_CONSTEXPR)
#define HALF_ENABLE_CPP11_CONSTEXPR 1
#endif
#if HALF_GNUC_VERSION >= 406 && !defined(HALF_ENABLE_CPP11_NOEXCEPT)
#define HALF_ENABLE_CPP11_NOEXCEPT 1
#endif
#if HALF_GNUC_VERSION >= 407 && !defined(HALF_ENABLE_CPP11_USER_LITERALS)
#define HALF_ENABLE_CPP11_USER_LITERALS 1
#endif
#if !defined(HALF_ENABLE_CPP11_LONG_LONG)
#define HALF_ENABLE_CPP11_LONG_LONG 1
#endif
#endif
#elif defined(_MSC_VER) //Visual C++
#if _MSC_VER >= 1900 && !defined(HALF_ENABLE_CPP11_CONSTEXPR)
#define HALF_ENABLE_CPP11_CONSTEXPR 1
#endif
#if _MSC_VER >= 1900 && !defined(HALF_ENABLE_CPP11_NOEXCEPT)
#define HALF_ENABLE_CPP11_NOEXCEPT 1
#endif
#if _MSC_VER >= 1900 && !defined(HALF_ENABLE_CPP11_USER_LITERALS)
#define HALF_ENABLE_CPP11_USER_LITERALS 1
#endif
#if _MSC_VER >= 1600 && !defined(HALF_ENABLE_CPP11_STATIC_ASSERT)
#define HALF_ENABLE_CPP11_STATIC_ASSERT 1
#endif
#if _MSC_VER >= 1310 && !defined(HALF_ENABLE_CPP11_LONG_LONG)
#define HALF_ENABLE_CPP11_LONG_LONG 1
#endif
#define HALF_POP_WARNINGS 1
#pragma warning(push)
#pragma warning(disable : 4099 4127 4146) //struct vs class, constant in if, negative unsigned
#endif
//check C++11 library features
#include <utility>
#if defined(_LIBCPP_VERSION) //libc++
#if defined(__GXX_EXPERIMENTAL_CXX0X__) || __cplusplus >= 201103
#ifndef HALF_ENABLE_CPP11_TYPE_TRAITS
#define HALF_ENABLE_CPP11_TYPE_TRAITS 1
#endif
#ifndef HALF_ENABLE_CPP11_CSTDINT
#define HALF_ENABLE_CPP11_CSTDINT 1
#endif
#ifndef HALF_ENABLE_CPP11_CMATH
#define HALF_ENABLE_CPP11_CMATH 1
#endif
#ifndef HALF_ENABLE_CPP11_HASH
#define HALF_ENABLE_CPP11_HASH 1
#endif
#endif
#elif defined(__GLIBCXX__) //libstdc++
#if defined(__GXX_EXPERIMENTAL_CXX0X__) || __cplusplus >= 201103
#ifdef __clang__
#if __GLIBCXX__ >= 20080606 && !defined(HALF_ENABLE_CPP11_TYPE_TRAITS)
#define HALF_ENABLE_CPP11_TYPE_TRAITS 1
#endif
#if __GLIBCXX__ >= 20080606 && !defined(HALF_ENABLE_CPP11_CSTDINT)
#define HALF_ENABLE_CPP11_CSTDINT 1
#endif
#if __GLIBCXX__ >= 20080606 && !defined(HALF_ENABLE_CPP11_CMATH)
#define HALF_ENABLE_CPP11_CMATH 1
#endif
#if __GLIBCXX__ >= 20080606 && !defined(HALF_ENABLE_CPP11_HASH)
#define HALF_ENABLE_CPP11_HASH 1
#endif
#else
#if HALF_GNUC_VERSION >= 403 && !defined(HALF_ENABLE_CPP11_CSTDINT)
#define HALF_ENABLE_CPP11_CSTDINT 1
#endif
#if HALF_GNUC_VERSION >= 403 && !defined(HALF_ENABLE_CPP11_CMATH)
#define HALF_ENABLE_CPP11_CMATH 1
#endif
#if HALF_GNUC_VERSION >= 403 && !defined(HALF_ENABLE_CPP11_HASH)
#define HALF_ENABLE_CPP11_HASH 1
#endif
#endif
#endif
#elif defined(_CPPLIB_VER) //Dinkumware/Visual C++
#if _CPPLIB_VER >= 520
#ifndef HALF_ENABLE_CPP11_TYPE_TRAITS
#define HALF_ENABLE_CPP11_TYPE_TRAITS 1
#endif
#ifndef HALF_ENABLE_CPP11_CSTDINT
#define HALF_ENABLE_CPP11_CSTDINT 1
#endif
#ifndef HALF_ENABLE_CPP11_HASH
#define HALF_ENABLE_CPP11_HASH 1
#endif
#endif
#if _CPPLIB_VER >= 610
#ifndef HALF_ENABLE_CPP11_CMATH
#define HALF_ENABLE_CPP11_CMATH 1
#endif
#endif
#endif
#undef HALF_GNUC_VERSION
//support constexpr
#if HALF_ENABLE_CPP11_CONSTEXPR
#define HALF_CONSTEXPR constexpr
#define HALF_CONSTEXPR_CONST constexpr
#else
#define HALF_CONSTEXPR
#define HALF_CONSTEXPR_CONST const
#endif
//support noexcept
#if HALF_ENABLE_CPP11_NOEXCEPT
#define HALF_NOEXCEPT noexcept
#define HALF_NOTHROW noexcept
#else
#define HALF_NOEXCEPT
#define HALF_NOTHROW throw()
#endif
#include <algorithm>
#include <iostream>
#include <limits>
#include <climits>
#include <cmath>
#include <cstring>
#if HALF_ENABLE_CPP11_TYPE_TRAITS
#include <type_traits>
#endif
#if HALF_ENABLE_CPP11_CSTDINT
#include <cstdint>
#endif
#if HALF_ENABLE_CPP11_HASH
#include <functional>
#endif
/// Default rounding mode.
/// This specifies the rounding mode used for all conversions between [half](\ref half_float::half)s and `float`s as well as
/// for the half_cast() if not specifying a rounding mode explicitly. It can be redefined (before including half.hpp) to one
/// of the standard rounding modes using their respective constants or the equivalent values of `std::float_round_style`:
///
/// `std::float_round_style` | value | rounding
/// ---------------------------------|-------|-------------------------
/// `std::round_indeterminate` | -1 | fastest (default)
/// `std::round_toward_zero` | 0 | toward zero
/// `std::round_to_nearest` | 1 | to nearest
/// `std::round_toward_infinity` | 2 | toward positive infinity
/// `std::round_toward_neg_infinity` | 3 | toward negative infinity
///
/// By default this is set to `-1` (`std::round_indeterminate`), which uses truncation (round toward zero, but with overflows
/// set to infinity) and is the fastest rounding mode possible. It can even be set to `std::numeric_limits<float>::round_style`
/// to synchronize the rounding mode with that of the underlying single-precision implementation.
#ifndef HALF_ROUND_STYLE
#define HALF_ROUND_STYLE -1 // = std::round_indeterminate
#endif
/// Tie-breaking behaviour for round to nearest.
/// This specifies if ties in round to nearest should be resolved by rounding to the nearest even value. By default this is
/// defined to `0` resulting in the faster but slightly more biased behaviour of rounding away from zero in half-way cases (and
/// thus equal to the round() function), but can be redefined to `1` (before including half.hpp) if more IEEE-conformant
/// behaviour is needed.
#ifndef HALF_ROUND_TIES_TO_EVEN
#define HALF_ROUND_TIES_TO_EVEN 0 // ties away from zero
#endif
/// Value signaling overflow.
/// In correspondence with `HUGE_VAL[F|L]` from `<cmath>` this symbol expands to a positive value signaling the overflow of an
/// operation, in particular it just evaluates to positive infinity.
#define HUGE_VALH std::numeric_limits<half_float::half>::infinity()
/// Fast half-precision fma function.
/// This symbol is only defined if the fma() function generally executes as fast as, or faster than, a separate
/// half-precision multiplication followed by an addition. Due to the internal single-precision implementation of all
/// arithmetic operations, this is in fact always the case.
#define FP_FAST_FMAH 1
#ifndef FP_ILOGB0
#define FP_ILOGB0 INT_MIN
#endif
#ifndef FP_ILOGBNAN
#define FP_ILOGBNAN INT_MAX
#endif
#ifndef FP_SUBNORMAL
#define FP_SUBNORMAL 0
#endif
#ifndef FP_ZERO
#define FP_ZERO 1
#endif
#ifndef FP_NAN
#define FP_NAN 2
#endif
#ifndef FP_INFINITE
#define FP_INFINITE 3
#endif
#ifndef FP_NORMAL
#define FP_NORMAL 4
#endif
/// Main namespace for half precision functionality.
/// This namespace contains all the functionality provided by the library.
namespace half_float
{
class half;
#if HALF_ENABLE_CPP11_USER_LITERALS
/// Library-defined half-precision literals.
/// Import this namespace to enable half-precision floating point literals:
/// ~~~~{.cpp}
/// using namespace half_float::literal;
/// half_float::half = 4.2_h;
/// ~~~~
namespace literal
{
half operator""_h(long double);
}
#endif
/// \internal
/// \brief Implementation details.
namespace detail
{
#if HALF_ENABLE_CPP11_TYPE_TRAITS
/// Conditional type.
template<bool B,typename T,typename F> struct conditional : std::conditional<B,T,F> {};
/// Helper for tag dispatching.
template<bool B> struct bool_type : std::integral_constant<bool,B> {};
using std::true_type;
using std::false_type;
/// Type traits for floating point types.
template<typename T> struct is_float : std::is_floating_point<T> {};
#else
/// Conditional type.
template<bool,typename T,typename> struct conditional { typedef T type; };
template<typename T,typename F> struct conditional<false,T,F> { typedef F type; };
/// Helper for tag dispatching.
template<bool> struct bool_type {};
typedef bool_type<true> true_type;
typedef bool_type<false> false_type;
/// Type traits for floating point types.
template<typename> struct is_float : false_type {};
template<typename T> struct is_float<const T> : is_float<T> {};
template<typename T> struct is_float<volatile T> : is_float<T> {};
template<typename T> struct is_float<const volatile T> : is_float<T> {};
template<> struct is_float<float> : true_type {};
template<> struct is_float<double> : true_type {};
template<> struct is_float<long double> : true_type {};
#endif
/// Type traits for floating point bits.
template<typename T> struct bits { typedef unsigned char type; };
template<typename T> struct bits<const T> : bits<T> {};
template<typename T> struct bits<volatile T> : bits<T> {};
template<typename T> struct bits<const volatile T> : bits<T> {};
#if HALF_ENABLE_CPP11_CSTDINT
/// Unsigned integer of (at least) 16 bits width.
typedef std::uint_least16_t uint16;
/// Unsigned integer of (at least) 32 bits width.
template<> struct bits<float> { typedef std::uint_least32_t type; };
/// Unsigned integer of (at least) 64 bits width.
template<> struct bits<double> { typedef std::uint_least64_t type; };
#else
/// Unsigned integer of (at least) 16 bits width.
typedef unsigned short uint16;
/// Unsigned integer of (at least) 32 bits width.
template<> struct bits<float> : conditional<std::numeric_limits<unsigned int>::digits>=32,unsigned int,unsigned long> {};
#if HALF_ENABLE_CPP11_LONG_LONG
/// Unsigned integer of (at least) 64 bits width.
template<> struct bits<double> : conditional<std::numeric_limits<unsigned long>::digits>=64,unsigned long,unsigned long long> {};
#else
/// Unsigned integer of (at least) 64 bits width.
template<> struct bits<double> { typedef unsigned long type; };
#endif
#endif
/// Tag type for binary construction.
struct binary_t {};
/// Tag for binary construction.
HALF_CONSTEXPR_CONST binary_t binary = binary_t();
/// Temporary half-precision expression.
/// This class represents a half-precision expression which just stores a single-precision value internally.
struct expr
{
/// Conversion constructor.
/// \param f single-precision value to convert
explicit HALF_CONSTEXPR expr(float f) HALF_NOEXCEPT : value_(f) {}
/// Conversion to single-precision.
/// \return single precision value representing expression value
HALF_CONSTEXPR operator float() const HALF_NOEXCEPT { return value_; }
private:
/// Internal expression value stored in single-precision.
float value_;
};
/// SFINAE helper for generic half-precision functions.
/// This class template has to be specialized for each valid combination of argument types to provide a corresponding
/// `type` member equivalent to \a T.
/// \tparam T type to return
template<typename T,typename,typename=void,typename=void> struct enable {};
template<typename T> struct enable<T,half,void,void> { typedef T type; };
template<typename T> struct enable<T,expr,void,void> { typedef T type; };
template<typename T> struct enable<T,half,half,void> { typedef T type; };
template<typename T> struct enable<T,half,expr,void> { typedef T type; };
template<typename T> struct enable<T,expr,half,void> { typedef T type; };
template<typename T> struct enable<T,expr,expr,void> { typedef T type; };
template<typename T> struct enable<T,half,half,half> { typedef T type; };
template<typename T> struct enable<T,half,half,expr> { typedef T type; };
template<typename T> struct enable<T,half,expr,half> { typedef T type; };
template<typename T> struct enable<T,half,expr,expr> { typedef T type; };
template<typename T> struct enable<T,expr,half,half> { typedef T type; };
template<typename T> struct enable<T,expr,half,expr> { typedef T type; };
template<typename T> struct enable<T,expr,expr,half> { typedef T type; };
template<typename T> struct enable<T,expr,expr,expr> { typedef T type; };
/// Return type for specialized generic 2-argument half-precision functions.
/// This class template has to be specialized for each valid combination of argument types to provide a corresponding
/// `type` member denoting the appropriate return type.
/// \tparam T first argument type
/// \tparam U first argument type
template<typename T,typename U> struct result : enable<expr,T,U> {};
template<> struct result<half,half> { typedef half type; };
/// \name Classification helpers
/// \{
/// Check for infinity.
/// \tparam T argument type (builtin floating point type)
/// \param arg value to query
/// \retval true if infinity
/// \retval false else
template<typename T> bool builtin_isinf(T arg)
{
#if HALF_ENABLE_CPP11_CMATH
return std::isinf(arg);
#elif defined(_MSC_VER)
return !::_finite(static_cast<double>(arg)) && !::_isnan(static_cast<double>(arg));
#else
return arg == std::numeric_limits<T>::infinity() || arg == -std::numeric_limits<T>::infinity();
#endif
}
/// Check for NaN.
/// \tparam T argument type (builtin floating point type)
/// \param arg value to query
/// \retval true if not a number
/// \retval false else
template<typename T> bool builtin_isnan(T arg)
{
#if HALF_ENABLE_CPP11_CMATH
return std::isnan(arg);
#elif defined(_MSC_VER)
return ::_isnan(static_cast<double>(arg)) != 0;
#else
return arg != arg;
#endif
}
/// Check sign.
/// \tparam T argument type (builtin floating point type)
/// \param arg value to query
/// \retval true if signbit set
/// \retval false else
template<typename T> bool builtin_signbit(T arg)
{
#if HALF_ENABLE_CPP11_CMATH
return std::signbit(arg);
#else
return arg < T() || (arg == T() && T(1)/arg < T());
#endif
}
/// \}
/// \name Conversion
/// \{
/// Convert IEEE single-precision to half-precision.
/// Credit for this goes to [Jeroen van der Zijp](ftp://ftp.fox-toolkit.org/pub/fasthalffloatconversion.pdf).
/// \tparam R rounding mode to use, `std::round_indeterminate` for fastest rounding
/// \param value single-precision value
/// \return binary representation of half-precision value
template<std::float_round_style R> uint16 float2half_impl(float value, true_type)
{
typedef bits<float>::type uint32;
uint32 bits;// = *reinterpret_cast<uint32*>(&value); //violating strict aliasing!
std::memcpy(&bits, &value, sizeof(float));
/* uint16 hbits = (bits>>16) & 0x8000;
bits &= 0x7FFFFFFF;
int exp = bits >> 23;
if(exp == 255)
return hbits | 0x7C00 | (0x3FF&-static_cast<unsigned>((bits&0x7FFFFF)!=0));
if(exp > 142)
{
if(R == std::round_toward_infinity)
return hbits | 0x7C00 - (hbits>>15);
if(R == std::round_toward_neg_infinity)
return hbits | 0x7BFF + (hbits>>15);
return hbits | 0x7BFF + (R!=std::round_toward_zero);
}
int g, s;
if(exp > 112)
{
g = (bits>>12) & 1;
s = (bits&0xFFF) != 0;
hbits |= ((exp-112)<<10) | ((bits>>13)&0x3FF);
}
else if(exp > 101)
{
int i = 125 - exp;
bits = (bits&0x7FFFFF) | 0x800000;
g = (bits>>i) & 1;
s = (bits&((1L<<i)-1)) != 0;
hbits |= bits >> (i+1);
}
else
{
g = 0;
s = bits != 0;
}
if(R == std::round_to_nearest)
#if HALF_ROUND_TIES_TO_EVEN
hbits += g & (s|hbits);
#else
hbits += g;
#endif
else if(R == std::round_toward_infinity)
hbits += ~(hbits>>15) & (s|g);
else if(R == std::round_toward_neg_infinity)
hbits += (hbits>>15) & (g|s);
*/ static const uint16 base_table[512] = {
0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000,
0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000,
0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000,
0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000,
0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000,
0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000,
0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0000, 0x0001, 0x0002, 0x0004, 0x0008, 0x0010, 0x0020, 0x0040, 0x0080, 0x0100,
0x0200, 0x0400, 0x0800, 0x0C00, 0x1000, 0x1400, 0x1800, 0x1C00, 0x2000, 0x2400, 0x2800, 0x2C00, 0x3000, 0x3400, 0x3800, 0x3C00,
0x4000, 0x4400, 0x4800, 0x4C00, 0x5000, 0x5400, 0x5800, 0x5C00, 0x6000, 0x6400, 0x6800, 0x6C00, 0x7000, 0x7400, 0x7800, 0x7C00,
0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00,
0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00,
0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00,
0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00,
0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00,
0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00,
0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00, 0x7C00,
0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000,
0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000,
0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000,
0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000,
0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000,
0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000,
0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8000, 0x8001, 0x8002, 0x8004, 0x8008, 0x8010, 0x8020, 0x8040, 0x8080, 0x8100,
0x8200, 0x8400, 0x8800, 0x8C00, 0x9000, 0x9400, 0x9800, 0x9C00, 0xA000, 0xA400, 0xA800, 0xAC00, 0xB000, 0xB400, 0xB800, 0xBC00,
0xC000, 0xC400, 0xC800, 0xCC00, 0xD000, 0xD400, 0xD800, 0xDC00, 0xE000, 0xE400, 0xE800, 0xEC00, 0xF000, 0xF400, 0xF800, 0xFC00,
0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00,
0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00,
0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00,
0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00,
0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00,
0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00,
0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00, 0xFC00 };
static const unsigned char shift_table[512] = {
24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24,
24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24,
24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24,
24, 24, 24, 24, 24, 24, 24, 23, 22, 21, 20, 19, 18, 17, 16, 15, 14, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13,
13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24,
24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24,
24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24,
24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 13,
24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24,
24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24,
24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24,
24, 24, 24, 24, 24, 24, 24, 23, 22, 21, 20, 19, 18, 17, 16, 15, 14, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13,
13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24,
24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24,
24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24,
24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 13 };
uint16 hbits = base_table[bits>>23] + static_cast<uint16>((bits&0x7FFFFF)>>shift_table[bits>>23]);
if(R == std::round_to_nearest)
hbits += (((bits&0x7FFFFF)>>(shift_table[bits>>23]-1))|(((bits>>23)&0xFF)==102)) & ((hbits&0x7C00)!=0x7C00)
#if HALF_ROUND_TIES_TO_EVEN
& (((((static_cast<uint32>(1)<<(shift_table[bits>>23]-1))-1)&bits)!=0)|hbits)
#endif
;
else if(R == std::round_toward_zero)
hbits -= ((hbits&0x7FFF)==0x7C00) & ~shift_table[bits>>23];
else if(R == std::round_toward_infinity)
hbits += ((((bits&0x7FFFFF&((static_cast<uint32>(1)<<(shift_table[bits>>23]))-1))!=0)|(((bits>>23)<=102)&
((bits>>23)!=0)))&(hbits<0x7C00)) - ((hbits==0xFC00)&((bits>>23)!=511));
else if(R == std::round_toward_neg_infinity)
hbits += ((((bits&0x7FFFFF&((static_cast<uint32>(1)<<(shift_table[bits>>23]))-1))!=0)|(((bits>>23)<=358)&
((bits>>23)!=256)))&(hbits<0xFC00)&(hbits>>15)) - ((hbits==0x7C00)&((bits>>23)!=255));
return hbits;
}
/// Convert IEEE double-precision to half-precision.
/// \tparam R rounding mode to use, `std::round_indeterminate` for fastest rounding
/// \param value double-precision value
/// \return binary representation of half-precision value
template<std::float_round_style R> uint16 float2half_impl(double value, true_type)
{
typedef bits<float>::type uint32;
typedef bits<double>::type uint64;
uint64 bits;// = *reinterpret_cast<uint64*>(&value); //violating strict aliasing!
std::memcpy(&bits, &value, sizeof(double));
uint32 hi = bits >> 32, lo = bits & 0xFFFFFFFF;
uint16 hbits = (hi>>16) & 0x8000;
hi &= 0x7FFFFFFF;
int exp = hi >> 20;
if(exp == 2047)
return hbits | 0x7C00 | (0x3FF&-static_cast<unsigned>((bits&0xFFFFFFFFFFFFF)!=0));
if(exp > 1038)
{
if(R == std::round_toward_infinity)
return hbits | 0x7C00 - (hbits>>15);
if(R == std::round_toward_neg_infinity)
return hbits | 0x7BFF + (hbits>>15);
return hbits | 0x7BFF + (R!=std::round_toward_zero);
}
int g, s = lo != 0;
if(exp > 1008)
{
g = (hi>>9) & 1;
s |= (hi&0x1FF) != 0;
hbits |= ((exp-1008)<<10) | ((hi>>10)&0x3FF);
}
else if(exp > 997)
{
int i = 1018 - exp;
hi = (hi&0xFFFFF) | 0x100000;
g = (hi>>i) & 1;
s |= (hi&((1L<<i)-1)) != 0;
hbits |= hi >> (i+1);
}
else
{
g = 0;
s |= hi != 0;
}
if(R == std::round_to_nearest)
#if HALF_ROUND_TIES_TO_EVEN
hbits += g & (s|hbits);
#else
hbits += g;
#endif
else if(R == std::round_toward_infinity)
hbits += ~(hbits>>15) & (s|g);
else if(R == std::round_toward_neg_infinity)
hbits += (hbits>>15) & (g|s);
return hbits;
}
/// Convert non-IEEE floating point to half-precision.
/// \tparam R rounding mode to use, `std::round_indeterminate` for fastest rounding
/// \tparam T source type (builtin floating point type)
/// \param value floating point value
/// \return binary representation of half-precision value
template<std::float_round_style R,typename T> uint16 float2half_impl(T value, ...)
{
uint16 hbits = static_cast<unsigned>(builtin_signbit(value)) << 15;
if(value == T())
return hbits;
if(builtin_isnan(value))
return hbits | 0x7FFF;
if(builtin_isinf(value))
return hbits | 0x7C00;
int exp;
std::frexp(value, &exp);
if(exp > 16)
{
if(R == std::round_toward_infinity)
return (hbits) | (0x7C00 - (hbits>>15));
else if(R == std::round_toward_neg_infinity)
return (hbits) | (0x7BFF + (hbits>>15));
return (hbits) | (0x7BFF + (R!=std::round_toward_zero));
}
if(exp < -13)
value = std::ldexp(value, 24);
else
{
value = std::ldexp(value, 11-exp);
hbits |= ((exp+13)<<10);
}
T ival, frac = std::modf(value, &ival);
hbits += static_cast<uint16>(std::abs(static_cast<int>(ival)));
if(R == std::round_to_nearest)
{
frac = std::abs(frac);
#if HALF_ROUND_TIES_TO_EVEN
hbits += (frac>T(0.5)) | ((frac==T(0.5))&hbits);
#else
hbits += frac >= T(0.5);
#endif
}
else if(R == std::round_toward_infinity)
hbits += frac > T();
else if(R == std::round_toward_neg_infinity)
hbits += frac < T();
return hbits;
}
/// Convert floating point to half-precision.
/// \tparam R rounding mode to use, `std::round_indeterminate` for fastest rounding
/// \tparam T source type (builtin floating point type)
/// \param value floating point value
/// \return binary representation of half-precision value
template<std::float_round_style R,typename T> uint16 float2half(T value)
{
return float2half_impl<R>(value, bool_type<std::numeric_limits<T>::is_iec559&&sizeof(typename bits<T>::type)==sizeof(T)>());
}
/// Convert integer to half-precision floating point.
/// \tparam R rounding mode to use, `std::round_indeterminate` for fastest rounding
/// \tparam S `true` if value negative, `false` else
/// \tparam T type to convert (builtin integer type)
/// \param value non-negative integral value
/// \return binary representation of half-precision value
template<std::float_round_style R,bool S,typename T> uint16 int2half_impl(T value)
{
#if HALF_ENABLE_CPP11_STATIC_ASSERT && HALF_ENABLE_CPP11_TYPE_TRAITS
static_assert(std::is_integral<T>::value, "int to half conversion only supports builtin integer types");
#endif
if(S)
value = -value;
uint16 bits = S << 15;
if(value > 0xFFFF)
{
if(R == std::round_toward_infinity)
bits |= 0x7C00 - S;
else if(R == std::round_toward_neg_infinity)
bits |= 0x7BFF + S;
else
bits |= 0x7BFF + (R!=std::round_toward_zero);
}
else if(value)
{
unsigned int m = value, exp = 24;
for(; m<0x400; m<<=1,--exp) ;
for(; m>0x7FF; m>>=1,++exp) ;
bits |= (exp<<10) + m;
if(exp > 24)
{
if(R == std::round_to_nearest)
bits += (value>>(exp-25)) & 1
#if HALF_ROUND_TIES_TO_EVEN
& (((((1<<(exp-25))-1)&value)!=0)|bits)
#endif
;
else if(R == std::round_toward_infinity)
bits += ((value&((1<<(exp-24))-1))!=0) & !S;
else if(R == std::round_toward_neg_infinity)
bits += ((value&((1<<(exp-24))-1))!=0) & S;
}
}
return bits;
}
/// Convert integer to half-precision floating point.
/// \tparam R rounding mode to use, `std::round_indeterminate` for fastest rounding
/// \tparam T type to convert (builtin integer type)
/// \param value integral value
/// \return binary representation of half-precision value
template<std::float_round_style R,typename T> uint16 int2half(T value)
{
return (value<0) ? int2half_impl<R,true>(value) : int2half_impl<R,false>(value);
}
/// Convert half-precision to IEEE single-precision.
/// Credit for this goes to [Jeroen van der Zijp](ftp://ftp.fox-toolkit.org/pub/fasthalffloatconversion.pdf).
/// \param value binary representation of half-precision value
/// \return single-precision value
inline float half2float_impl(uint16 value, float, true_type)
{
typedef bits<float>::type uint32;
/* uint32 bits = static_cast<uint32>(value&0x8000) << 16;
int abs = value & 0x7FFF;
if(abs)
{
bits |= 0x38000000 << static_cast<unsigned>(abs>=0x7C00);
for(; abs<0x400; abs<<=1,bits-=0x800000) ;
bits += static_cast<uint32>(abs) << 13;
}
*/ static const uint32 mantissa_table[2048] = {
0x00000000, 0x33800000, 0x34000000, 0x34400000, 0x34800000, 0x34A00000, 0x34C00000, 0x34E00000, 0x35000000, 0x35100000, 0x35200000, 0x35300000, 0x35400000, 0x35500000, 0x35600000, 0x35700000,
0x35800000, 0x35880000, 0x35900000, 0x35980000, 0x35A00000, 0x35A80000, 0x35B00000, 0x35B80000, 0x35C00000, 0x35C80000, 0x35D00000, 0x35D80000, 0x35E00000, 0x35E80000, 0x35F00000, 0x35F80000,
0x36000000, 0x36040000, 0x36080000, 0x360C0000, 0x36100000, 0x36140000, 0x36180000, 0x361C0000, 0x36200000, 0x36240000, 0x36280000, 0x362C0000, 0x36300000, 0x36340000, 0x36380000, 0x363C0000,
0x36400000, 0x36440000, 0x36480000, 0x364C0000, 0x36500000, 0x36540000, 0x36580000, 0x365C0000, 0x36600000, 0x36640000, 0x36680000, 0x366C0000, 0x36700000, 0x36740000, 0x36780000, 0x367C0000,
0x36800000, 0x36820000, 0x36840000, 0x36860000, 0x36880000, 0x368A0000, 0x368C0000, 0x368E0000, 0x36900000, 0x36920000, 0x36940000, 0x36960000, 0x36980000, 0x369A0000, 0x369C0000, 0x369E0000,
0x36A00000, 0x36A20000, 0x36A40000, 0x36A60000, 0x36A80000, 0x36AA0000, 0x36AC0000, 0x36AE0000, 0x36B00000, 0x36B20000, 0x36B40000, 0x36B60000, 0x36B80000, 0x36BA0000, 0x36BC0000, 0x36BE0000,
0x36C00000, 0x36C20000, 0x36C40000, 0x36C60000, 0x36C80000, 0x36CA0000, 0x36CC0000, 0x36CE0000, 0x36D00000, 0x36D20000, 0x36D40000, 0x36D60000, 0x36D80000, 0x36DA0000, 0x36DC0000, 0x36DE0000,
0x36E00000, 0x36E20000, 0x36E40000, 0x36E60000, 0x36E80000, 0x36EA0000, 0x36EC0000, 0x36EE0000, 0x36F00000, 0x36F20000, 0x36F40000, 0x36F60000, 0x36F80000, 0x36FA0000, 0x36FC0000, 0x36FE0000,
0x37000000, 0x37010000, 0x37020000, 0x37030000, 0x37040000, 0x37050000, 0x37060000, 0x37070000, 0x37080000, 0x37090000, 0x370A0000, 0x370B0000, 0x370C0000, 0x370D0000, 0x370E0000, 0x370F0000,
0x37100000, 0x37110000, 0x37120000, 0x37130000, 0x37140000, 0x37150000, 0x37160000, 0x37170000, 0x37180000, 0x37190000, 0x371A0000, 0x371B0000, 0x371C0000, 0x371D0000, 0x371E0000, 0x371F0000,
0x37200000, 0x37210000, 0x37220000, 0x37230000, 0x37240000, 0x37250000, 0x37260000, 0x37270000, 0x37280000, 0x37290000, 0x372A0000, 0x372B0000, 0x372C0000, 0x372D0000, 0x372E0000, 0x372F0000,
0x37300000, 0x37310000, 0x37320000, 0x37330000, 0x37340000, 0x37350000, 0x37360000, 0x37370000, 0x37380000, 0x37390000, 0x373A0000, 0x373B0000, 0x373C0000, 0x373D0000, 0x373E0000, 0x373F0000,
0x37400000, 0x37410000, 0x37420000, 0x37430000, 0x37440000, 0x37450000, 0x37460000, 0x37470000, 0x37480000, 0x37490000, 0x374A0000, 0x374B0000, 0x374C0000, 0x374D0000, 0x374E0000, 0x374F0000,
0x37500000, 0x37510000, 0x37520000, 0x37530000, 0x37540000, 0x37550000, 0x37560000, 0x37570000, 0x37580000, 0x37590000, 0x375A0000, 0x375B0000, 0x375C0000, 0x375D0000, 0x375E0000, 0x375F0000,
0x37600000, 0x37610000, 0x37620000, 0x37630000, 0x37640000, 0x37650000, 0x37660000, 0x37670000, 0x37680000, 0x37690000, 0x376A0000, 0x376B0000, 0x376C0000, 0x376D0000, 0x376E0000, 0x376F0000,
0x37700000, 0x37710000, 0x37720000, 0x37730000, 0x37740000, 0x37750000, 0x37760000, 0x37770000, 0x37780000, 0x37790000, 0x377A0000, 0x377B0000, 0x377C0000, 0x377D0000, 0x377E0000, 0x377F0000,
0x37800000, 0x37808000, 0x37810000, 0x37818000, 0x37820000, 0x37828000, 0x37830000, 0x37838000, 0x37840000, 0x37848000, 0x37850000, 0x37858000, 0x37860000, 0x37868000, 0x37870000, 0x37878000,
0x37880000, 0x37888000, 0x37890000, 0x37898000, 0x378A0000, 0x378A8000, 0x378B0000, 0x378B8000, 0x378C0000, 0x378C8000, 0x378D0000, 0x378D8000, 0x378E0000, 0x378E8000, 0x378F0000, 0x378F8000,
0x37900000, 0x37908000, 0x37910000, 0x37918000, 0x37920000, 0x37928000, 0x37930000, 0x37938000, 0x37940000, 0x37948000, 0x37950000, 0x37958000, 0x37960000, 0x37968000, 0x37970000, 0x37978000,
0x37980000, 0x37988000, 0x37990000, 0x37998000, 0x379A0000, 0x379A8000, 0x379B0000, 0x379B8000, 0x379C0000, 0x379C8000, 0x379D0000, 0x379D8000, 0x379E0000, 0x379E8000, 0x379F0000, 0x379F8000,
0x37A00000, 0x37A08000, 0x37A10000, 0x37A18000, 0x37A20000, 0x37A28000, 0x37A30000, 0x37A38000, 0x37A40000, 0x37A48000, 0x37A50000, 0x37A58000, 0x37A60000, 0x37A68000, 0x37A70000, 0x37A78000,
0x37A80000, 0x37A88000, 0x37A90000, 0x37A98000, 0x37AA0000, 0x37AA8000, 0x37AB0000, 0x37AB8000, 0x37AC0000, 0x37AC8000, 0x37AD0000, 0x37AD8000, 0x37AE0000, 0x37AE8000, 0x37AF0000, 0x37AF8000,
0x37B00000, 0x37B08000, 0x37B10000, 0x37B18000, 0x37B20000, 0x37B28000, 0x37B30000, 0x37B38000, 0x37B40000, 0x37B48000, 0x37B50000, 0x37B58000, 0x37B60000, 0x37B68000, 0x37B70000, 0x37B78000,
0x37B80000, 0x37B88000, 0x37B90000, 0x37B98000, 0x37BA0000, 0x37BA8000, 0x37BB0000, 0x37BB8000, 0x37BC0000, 0x37BC8000, 0x37BD0000, 0x37BD8000, 0x37BE0000, 0x37BE8000, 0x37BF0000, 0x37BF8000,
0x37C00000, 0x37C08000, 0x37C10000, 0x37C18000, 0x37C20000, 0x37C28000, 0x37C30000, 0x37C38000, 0x37C40000, 0x37C48000, 0x37C50000, 0x37C58000, 0x37C60000, 0x37C68000, 0x37C70000, 0x37C78000,
0x37C80000, 0x37C88000, 0x37C90000, 0x37C98000, 0x37CA0000, 0x37CA8000, 0x37CB0000, 0x37CB8000, 0x37CC0000, 0x37CC8000, 0x37CD0000, 0x37CD8000, 0x37CE0000, 0x37CE8000, 0x37CF0000, 0x37CF8000,
0x37D00000, 0x37D08000, 0x37D10000, 0x37D18000, 0x37D20000, 0x37D28000, 0x37D30000, 0x37D38000, 0x37D40000, 0x37D48000, 0x37D50000, 0x37D58000, 0x37D60000, 0x37D68000, 0x37D70000, 0x37D78000,
0x37D80000, 0x37D88000, 0x37D90000, 0x37D98000, 0x37DA0000, 0x37DA8000, 0x37DB0000, 0x37DB8000, 0x37DC0000, 0x37DC8000, 0x37DD0000, 0x37DD8000, 0x37DE0000, 0x37DE8000, 0x37DF0000, 0x37DF8000,
0x37E00000, 0x37E08000, 0x37E10000, 0x37E18000, 0x37E20000, 0x37E28000, 0x37E30000, 0x37E38000, 0x37E40000, 0x37E48000, 0x37E50000, 0x37E58000, 0x37E60000, 0x37E68000, 0x37E70000, 0x37E78000,
0x37E80000, 0x37E88000, 0x37E90000, 0x37E98000, 0x37EA0000, 0x37EA8000, 0x37EB0000, 0x37EB8000, 0x37EC0000, 0x37EC8000, 0x37ED0000, 0x37ED8000, 0x37EE0000, 0x37EE8000, 0x37EF0000, 0x37EF8000,
0x37F00000, 0x37F08000, 0x37F10000, 0x37F18000, 0x37F20000, 0x37F28000, 0x37F30000, 0x37F38000, 0x37F40000, 0x37F48000, 0x37F50000, 0x37F58000, 0x37F60000, 0x37F68000, 0x37F70000, 0x37F78000,
0x37F80000, 0x37F88000, 0x37F90000, 0x37F98000, 0x37FA0000, 0x37FA8000, 0x37FB0000, 0x37FB8000, 0x37FC0000, 0x37FC8000, 0x37FD0000, 0x37FD8000, 0x37FE0000, 0x37FE8000, 0x37FF0000, 0x37FF8000,
0x38000000, 0x38004000, 0x38008000, 0x3800C000, 0x38010000, 0x38014000, 0x38018000, 0x3801C000, 0x38020000, 0x38024000, 0x38028000, 0x3802C000, 0x38030000, 0x38034000, 0x38038000, 0x3803C000,
0x38040000, 0x38044000, 0x38048000, 0x3804C000, 0x38050000, 0x38054000, 0x38058000, 0x3805C000, 0x38060000, 0x38064000, 0x38068000, 0x3806C000, 0x38070000, 0x38074000, 0x38078000, 0x3807C000,
0x38080000, 0x38084000, 0x38088000, 0x3808C000, 0x38090000, 0x38094000, 0x38098000, 0x3809C000, 0x380A0000, 0x380A4000, 0x380A8000, 0x380AC000, 0x380B0000, 0x380B4000, 0x380B8000, 0x380BC000,
0x380C0000, 0x380C4000, 0x380C8000, 0x380CC000, 0x380D0000, 0x380D4000, 0x380D8000, 0x380DC000, 0x380E0000, 0x380E4000, 0x380E8000, 0x380EC000, 0x380F0000, 0x380F4000, 0x380F8000, 0x380FC000,
0x38100000, 0x38104000, 0x38108000, 0x3810C000, 0x38110000, 0x38114000, 0x38118000, 0x3811C000, 0x38120000, 0x38124000, 0x38128000, 0x3812C000, 0x38130000, 0x38134000, 0x38138000, 0x3813C000,
0x38140000, 0x38144000, 0x38148000, 0x3814C000, 0x38150000, 0x38154000, 0x38158000, 0x3815C000, 0x38160000, 0x38164000, 0x38168000, 0x3816C000, 0x38170000, 0x38174000, 0x38178000, 0x3817C000,
0x38180000, 0x38184000, 0x38188000, 0x3818C000, 0x38190000, 0x38194000, 0x38198000, 0x3819C000, 0x381A0000, 0x381A4000, 0x381A8000, 0x381AC000, 0x381B0000, 0x381B4000, 0x381B8000, 0x381BC000,
0x381C0000, 0x381C4000, 0x381C8000, 0x381CC000, 0x381D0000, 0x381D4000, 0x381D8000, 0x381DC000, 0x381E0000, 0x381E4000, 0x381E8000, 0x381EC000, 0x381F0000, 0x381F4000, 0x381F8000, 0x381FC000,
0x38200000, 0x38204000, 0x38208000, 0x3820C000, 0x38210000, 0x38214000, 0x38218000, 0x3821C000, 0x38220000, 0x38224000, 0x38228000, 0x3822C000, 0x38230000, 0x38234000, 0x38238000, 0x3823C000,
0x38240000, 0x38244000, 0x38248000, 0x3824C000, 0x38250000, 0x38254000, 0x38258000, 0x3825C000, 0x38260000, 0x38264000, 0x38268000, 0x3826C000, 0x38270000, 0x38274000, 0x38278000, 0x3827C000,
0x38280000, 0x38284000, 0x38288000, 0x3828C000, 0x38290000, 0x38294000, 0x38298000, 0x3829C000, 0x382A0000, 0x382A4000, 0x382A8000, 0x382AC000, 0x382B0000, 0x382B4000, 0x382B8000, 0x382BC000,
0x382C0000, 0x382C4000, 0x382C8000, 0x382CC000, 0x382D0000, 0x382D4000, 0x382D8000, 0x382DC000, 0x382E0000, 0x382E4000, 0x382E8000, 0x382EC000, 0x382F0000, 0x382F4000, 0x382F8000, 0x382FC000,
0x38300000, 0x38304000, 0x38308000, 0x3830C000, 0x38310000, 0x38314000, 0x38318000, 0x3831C000, 0x38320000, 0x38324000, 0x38328000, 0x3832C000, 0x38330000, 0x38334000, 0x38338000, 0x3833C000,
0x38340000, 0x38344000, 0x38348000, 0x3834C000, 0x38350000, 0x38354000, 0x38358000, 0x3835C000, 0x38360000, 0x38364000, 0x38368000, 0x3836C000, 0x38370000, 0x38374000, 0x38378000, 0x3837C000,
0x38380000, 0x38384000, 0x38388000, 0x3838C000, 0x38390000, 0x38394000, 0x38398000, 0x3839C000, 0x383A0000, 0x383A4000, 0x383A8000, 0x383AC000, 0x383B0000, 0x383B4000, 0x383B8000, 0x383BC000,
0x383C0000, 0x383C4000, 0x383C8000, 0x383CC000, 0x383D0000, 0x383D4000, 0x383D8000, 0x383DC000, 0x383E0000, 0x383E4000, 0x383E8000, 0x383EC000, 0x383F0000, 0x383F4000, 0x383F8000, 0x383FC000,
0x38400000, 0x38404000, 0x38408000, 0x3840C000, 0x38410000, 0x38414000, 0x38418000, 0x3841C000, 0x38420000, 0x38424000, 0x38428000, 0x3842C000, 0x38430000, 0x38434000, 0x38438000, 0x3843C000,
0x38440000, 0x38444000, 0x38448000, 0x3844C000, 0x38450000, 0x38454000, 0x38458000, 0x3845C000, 0x38460000, 0x38464000, 0x38468000, 0x3846C000, 0x38470000, 0x38474000, 0x38478000, 0x3847C000,
0x38480000, 0x38484000, 0x38488000, 0x3848C000, 0x38490000, 0x38494000, 0x38498000, 0x3849C000, 0x384A0000, 0x384A4000, 0x384A8000, 0x384AC000, 0x384B0000, 0x384B4000, 0x384B8000, 0x384BC000,
0x384C0000, 0x384C4000, 0x384C8000, 0x384CC000, 0x384D0000, 0x384D4000, 0x384D8000, 0x384DC000, 0x384E0000, 0x384E4000, 0x384E8000, 0x384EC000, 0x384F0000, 0x384F4000, 0x384F8000, 0x384FC000,
0x38500000, 0x38504000, 0x38508000, 0x3850C000, 0x38510000, 0x38514000, 0x38518000, 0x3851C000, 0x38520000, 0x38524000, 0x38528000, 0x3852C000, 0x38530000, 0x38534000, 0x38538000, 0x3853C000,
0x38540000, 0x38544000, 0x38548000, 0x3854C000, 0x38550000, 0x38554000, 0x38558000, 0x3855C000, 0x38560000, 0x38564000, 0x38568000, 0x3856C000, 0x38570000, 0x38574000, 0x38578000, 0x3857C000,
0x38580000, 0x38584000, 0x38588000, 0x3858C000, 0x38590000, 0x38594000, 0x38598000, 0x3859C000, 0x385A0000, 0x385A4000, 0x385A8000, 0x385AC000, 0x385B0000, 0x385B4000, 0x385B8000, 0x385BC000,
0x385C0000, 0x385C4000, 0x385C8000, 0x385CC000, 0x385D0000, 0x385D4000, 0x385D8000, 0x385DC000, 0x385E0000, 0x385E4000, 0x385E8000, 0x385EC000, 0x385F0000, 0x385F4000, 0x385F8000, 0x385FC000,
0x38600000, 0x38604000, 0x38608000, 0x3860C000, 0x38610000, 0x38614000, 0x38618000, 0x3861C000, 0x38620000, 0x38624000, 0x38628000, 0x3862C000, 0x38630000, 0x38634000, 0x38638000, 0x3863C000,
0x38640000, 0x38644000, 0x38648000, 0x3864C000, 0x38650000, 0x38654000, 0x38658000, 0x3865C000, 0x38660000, 0x38664000, 0x38668000, 0x3866C000, 0x38670000, 0x38674000, 0x38678000, 0x3867C000,
0x38680000, 0x38684000, 0x38688000, 0x3868C000, 0x38690000, 0x38694000, 0x38698000, 0x3869C000, 0x386A0000, 0x386A4000, 0x386A8000, 0x386AC000, 0x386B0000, 0x386B4000, 0x386B8000, 0x386BC000,
0x386C0000, 0x386C4000, 0x386C8000, 0x386CC000, 0x386D0000, 0x386D4000, 0x386D8000, 0x386DC000, 0x386E0000, 0x386E4000, 0x386E8000, 0x386EC000, 0x386F0000, 0x386F4000, 0x386F8000, 0x386FC000,
0x38700000, 0x38704000, 0x38708000, 0x3870C000, 0x38710000, 0x38714000, 0x38718000, 0x3871C000, 0x38720000, 0x38724000, 0x38728000, 0x3872C000, 0x38730000, 0x38734000, 0x38738000, 0x3873C000,
0x38740000, 0x38744000, 0x38748000, 0x3874C000, 0x38750000, 0x38754000, 0x38758000, 0x3875C000, 0x38760000, 0x38764000, 0x38768000, 0x3876C000, 0x38770000, 0x38774000, 0x38778000, 0x3877C000,
0x38780000, 0x38784000, 0x38788000, 0x3878C000, 0x38790000, 0x38794000, 0x38798000, 0x3879C000, 0x387A0000, 0x387A4000, 0x387A8000, 0x387AC000, 0x387B0000, 0x387B4000, 0x387B8000, 0x387BC000,
0x387C0000, 0x387C4000, 0x387C8000, 0x387CC000, 0x387D0000, 0x387D4000, 0x387D8000, 0x387DC000, 0x387E0000, 0x387E4000, 0x387E8000, 0x387EC000, 0x387F0000, 0x387F4000, 0x387F8000, 0x387FC000,
0x38000000, 0x38002000, 0x38004000, 0x38006000, 0x38008000, 0x3800A000, 0x3800C000, 0x3800E000, 0x38010000, 0x38012000, 0x38014000, 0x38016000, 0x38018000, 0x3801A000, 0x3801C000, 0x3801E000,
0x38020000, 0x38022000, 0x38024000, 0x38026000, 0x38028000, 0x3802A000, 0x3802C000, 0x3802E000, 0x38030000, 0x38032000, 0x38034000, 0x38036000, 0x38038000, 0x3803A000, 0x3803C000, 0x3803E000,
0x38040000, 0x38042000, 0x38044000, 0x38046000, 0x38048000, 0x3804A000, 0x3804C000, 0x3804E000, 0x38050000, 0x38052000, 0x38054000, 0x38056000, 0x38058000, 0x3805A000, 0x3805C000, 0x3805E000,
0x38060000, 0x38062000, 0x38064000, 0x38066000, 0x38068000, 0x3806A000, 0x3806C000, 0x3806E000, 0x38070000, 0x38072000, 0x38074000, 0x38076000, 0x38078000, 0x3807A000, 0x3807C000, 0x3807E000,
0x38080000, 0x38082000, 0x38084000, 0x38086000, 0x38088000, 0x3808A000, 0x3808C000, 0x3808E000, 0x38090000, 0x38092000, 0x38094000, 0x38096000, 0x38098000, 0x3809A000, 0x3809C000, 0x3809E000,
0x380A0000, 0x380A2000, 0x380A4000, 0x380A6000, 0x380A8000, 0x380AA000, 0x380AC000, 0x380AE000, 0x380B0000, 0x380B2000, 0x380B4000, 0x380B6000, 0x380B8000, 0x380BA000, 0x380BC000, 0x380BE000,
0x380C0000, 0x380C2000, 0x380C4000, 0x380C6000, 0x380C8000, 0x380CA000, 0x380CC000, 0x380CE000, 0x380D0000, 0x380D2000, 0x380D4000, 0x380D6000, 0x380D8000, 0x380DA000, 0x380DC000, 0x380DE000,
0x380E0000, 0x380E2000, 0x380E4000, 0x380E6000, 0x380E8000, 0x380EA000, 0x380EC000, 0x380EE000, 0x380F0000, 0x380F2000, 0x380F4000, 0x380F6000, 0x380F8000, 0x380FA000, 0x380FC000, 0x380FE000,
0x38100000, 0x38102000, 0x38104000, 0x38106000, 0x38108000, 0x3810A000, 0x3810C000, 0x3810E000, 0x38110000, 0x38112000, 0x38114000, 0x38116000, 0x38118000, 0x3811A000, 0x3811C000, 0x3811E000,
0x38120000, 0x38122000, 0x38124000, 0x38126000, 0x38128000, 0x3812A000, 0x3812C000, 0x3812E000, 0x38130000, 0x38132000, 0x38134000, 0x38136000, 0x38138000, 0x3813A000, 0x3813C000, 0x3813E000,
0x38140000, 0x38142000, 0x38144000, 0x38146000, 0x38148000, 0x3814A000, 0x3814C000, 0x3814E000, 0x38150000, 0x38152000, 0x38154000, 0x38156000, 0x38158000, 0x3815A000, 0x3815C000, 0x3815E000,
0x38160000, 0x38162000, 0x38164000, 0x38166000, 0x38168000, 0x3816A000, 0x3816C000, 0x3816E000, 0x38170000, 0x38172000, 0x38174000, 0x38176000, 0x38178000, 0x3817A000, 0x3817C000, 0x3817E000,
0x38180000, 0x38182000, 0x38184000, 0x38186000, 0x38188000, 0x3818A000, 0x3818C000, 0x3818E000, 0x38190000, 0x38192000, 0x38194000, 0x38196000, 0x38198000, 0x3819A000, 0x3819C000, 0x3819E000,
0x381A0000, 0x381A2000, 0x381A4000, 0x381A6000, 0x381A8000, 0x381AA000, 0x381AC000, 0x381AE000, 0x381B0000, 0x381B2000, 0x381B4000, 0x381B6000, 0x381B8000, 0x381BA000, 0x381BC000, 0x381BE000,
0x381C0000, 0x381C2000, 0x381C4000, 0x381C6000, 0x381C8000, 0x381CA000, 0x381CC000, 0x381CE000, 0x381D0000, 0x381D2000, 0x381D4000, 0x381D6000, 0x381D8000, 0x381DA000, 0x381DC000, 0x381DE000,
0x381E0000, 0x381E2000, 0x381E4000, 0x381E6000, 0x381E8000, 0x381EA000, 0x381EC000, 0x381EE000, 0x381F0000, 0x381F2000, 0x381F4000, 0x381F6000, 0x381F8000, 0x381FA000, 0x381FC000, 0x381FE000,
0x38200000, 0x38202000, 0x38204000, 0x38206000, 0x38208000, 0x3820A000, 0x3820C000, 0x3820E000, 0x38210000, 0x38212000, 0x38214000, 0x38216000, 0x38218000, 0x3821A000, 0x3821C000, 0x3821E000,
0x38220000, 0x38222000, 0x38224000, 0x38226000, 0x38228000, 0x3822A000, 0x3822C000, 0x3822E000, 0x38230000, 0x38232000, 0x38234000, 0x38236000, 0x38238000, 0x3823A000, 0x3823C000, 0x3823E000,
0x38240000, 0x38242000, 0x38244000, 0x38246000, 0x38248000, 0x3824A000, 0x3824C000, 0x3824E000, 0x38250000, 0x38252000, 0x38254000, 0x38256000, 0x38258000, 0x3825A000, 0x3825C000, 0x3825E000,
0x38260000, 0x38262000, 0x38264000, 0x38266000, 0x38268000, 0x3826A000, 0x3826C000, 0x3826E000, 0x38270000, 0x38272000, 0x38274000, 0x38276000, 0x38278000, 0x3827A000, 0x3827C000, 0x3827E000,
0x38280000, 0x38282000, 0x38284000, 0x38286000, 0x38288000, 0x3828A000, 0x3828C000, 0x3828E000, 0x38290000, 0x38292000, 0x38294000, 0x38296000, 0x38298000, 0x3829A000, 0x3829C000, 0x3829E000,
0x382A0000, 0x382A2000, 0x382A4000, 0x382A6000, 0x382A8000, 0x382AA000, 0x382AC000, 0x382AE000, 0x382B0000, 0x382B2000, 0x382B4000, 0x382B6000, 0x382B8000, 0x382BA000, 0x382BC000, 0x382BE000,
0x382C0000, 0x382C2000, 0x382C4000, 0x382C6000, 0x382C8000, 0x382CA000, 0x382CC000, 0x382CE000, 0x382D0000, 0x382D2000, 0x382D4000, 0x382D6000, 0x382D8000, 0x382DA000, 0x382DC000, 0x382DE000,
0x382E0000, 0x382E2000, 0x382E4000, 0x382E6000, 0x382E8000, 0x382EA000, 0x382EC000, 0x382EE000, 0x382F0000, 0x382F2000, 0x382F4000, 0x382F6000, 0x382F8000, 0x382FA000, 0x382FC000, 0x382FE000,
0x38300000, 0x38302000, 0x38304000, 0x38306000, 0x38308000, 0x3830A000, 0x3830C000, 0x3830E000, 0x38310000, 0x38312000, 0x38314000, 0x38316000, 0x38318000, 0x3831A000, 0x3831C000, 0x3831E000,
0x38320000, 0x38322000, 0x38324000, 0x38326000, 0x38328000, 0x3832A000, 0x3832C000, 0x3832E000, 0x38330000, 0x38332000, 0x38334000, 0x38336000, 0x38338000, 0x3833A000, 0x3833C000, 0x3833E000,
0x38340000, 0x38342000, 0x38344000, 0x38346000, 0x38348000, 0x3834A000, 0x3834C000, 0x3834E000, 0x38350000, 0x38352000, 0x38354000, 0x38356000, 0x38358000, 0x3835A000, 0x3835C000, 0x3835E000,
0x38360000, 0x38362000, 0x38364000, 0x38366000, 0x38368000, 0x3836A000, 0x3836C000, 0x3836E000, 0x38370000, 0x38372000, 0x38374000, 0x38376000, 0x38378000, 0x3837A000, 0x3837C000, 0x3837E000,
0x38380000, 0x38382000, 0x38384000, 0x38386000, 0x38388000, 0x3838A000, 0x3838C000, 0x3838E000, 0x38390000, 0x38392000, 0x38394000, 0x38396000, 0x38398000, 0x3839A000, 0x3839C000, 0x3839E000,
0x383A0000, 0x383A2000, 0x383A4000, 0x383A6000, 0x383A8000, 0x383AA000, 0x383AC000, 0x383AE000, 0x383B0000, 0x383B2000, 0x383B4000, 0x383B6000, 0x383B8000, 0x383BA000, 0x383BC000, 0x383BE000,
0x383C0000, 0x383C2000, 0x383C4000, 0x383C6000, 0x383C8000, 0x383CA000, 0x383CC000, 0x383CE000, 0x383D0000, 0x383D2000, 0x383D4000, 0x383D6000, 0x383D8000, 0x383DA000, 0x383DC000, 0x383DE000,
0x383E0000, 0x383E2000, 0x383E4000, 0x383E6000, 0x383E8000, 0x383EA000, 0x383EC000, 0x383EE000, 0x383F0000, 0x383F2000, 0x383F4000, 0x383F6000, 0x383F8000, 0x383FA000, 0x383FC000, 0x383FE000,
0x38400000, 0x38402000, 0x38404000, 0x38406000, 0x38408000, 0x3840A000, 0x3840C000, 0x3840E000, 0x38410000, 0x38412000, 0x38414000, 0x38416000, 0x38418000, 0x3841A000, 0x3841C000, 0x3841E000,
0x38420000, 0x38422000, 0x38424000, 0x38426000, 0x38428000, 0x3842A000, 0x3842C000, 0x3842E000, 0x38430000, 0x38432000, 0x38434000, 0x38436000, 0x38438000, 0x3843A000, 0x3843C000, 0x3843E000,
0x38440000, 0x38442000, 0x38444000, 0x38446000, 0x38448000, 0x3844A000, 0x3844C000, 0x3844E000, 0x38450000, 0x38452000, 0x38454000, 0x38456000, 0x38458000, 0x3845A000, 0x3845C000, 0x3845E000,
0x38460000, 0x38462000, 0x38464000, 0x38466000, 0x38468000, 0x3846A000, 0x3846C000, 0x3846E000, 0x38470000, 0x38472000, 0x38474000, 0x38476000, 0x38478000, 0x3847A000, 0x3847C000, 0x3847E000,
0x38480000, 0x38482000, 0x38484000, 0x38486000, 0x38488000, 0x3848A000, 0x3848C000, 0x3848E000, 0x38490000, 0x38492000, 0x38494000, 0x38496000, 0x38498000, 0x3849A000, 0x3849C000, 0x3849E000,
0x384A0000, 0x384A2000, 0x384A4000, 0x384A6000, 0x384A8000, 0x384AA000, 0x384AC000, 0x384AE000, 0x384B0000, 0x384B2000, 0x384B4000, 0x384B6000, 0x384B8000, 0x384BA000, 0x384BC000, 0x384BE000,
0x384C0000, 0x384C2000, 0x384C4000, 0x384C6000, 0x384C8000, 0x384CA000, 0x384CC000, 0x384CE000, 0x384D0000, 0x384D2000, 0x384D4000, 0x384D6000, 0x384D8000, 0x384DA000, 0x384DC000, 0x384DE000,
0x384E0000, 0x384E2000, 0x384E4000, 0x384E6000, 0x384E8000, 0x384EA000, 0x384EC000, 0x384EE000, 0x384F0000, 0x384F2000, 0x384F4000, 0x384F6000, 0x384F8000, 0x384FA000, 0x384FC000, 0x384FE000,
0x38500000, 0x38502000, 0x38504000, 0x38506000, 0x38508000, 0x3850A000, 0x3850C000, 0x3850E000, 0x38510000, 0x38512000, 0x38514000, 0x38516000, 0x38518000, 0x3851A000, 0x3851C000, 0x3851E000,
0x38520000, 0x38522000, 0x38524000, 0x38526000, 0x38528000, 0x3852A000, 0x3852C000, 0x3852E000, 0x38530000, 0x38532000, 0x38534000, 0x38536000, 0x38538000, 0x3853A000, 0x3853C000, 0x3853E000,
0x38540000, 0x38542000, 0x38544000, 0x38546000, 0x38548000, 0x3854A000, 0x3854C000, 0x3854E000, 0x38550000, 0x38552000, 0x38554000, 0x38556000, 0x38558000, 0x3855A000, 0x3855C000, 0x3855E000,
0x38560000, 0x38562000, 0x38564000, 0x38566000, 0x38568000, 0x3856A000, 0x3856C000, 0x3856E000, 0x38570000, 0x38572000, 0x38574000, 0x38576000, 0x38578000, 0x3857A000, 0x3857C000, 0x3857E000,
0x38580000, 0x38582000, 0x38584000, 0x38586000, 0x38588000, 0x3858A000, 0x3858C000, 0x3858E000, 0x38590000, 0x38592000, 0x38594000, 0x38596000, 0x38598000, 0x3859A000, 0x3859C000, 0x3859E000,
0x385A0000, 0x385A2000, 0x385A4000, 0x385A6000, 0x385A8000, 0x385AA000, 0x385AC000, 0x385AE000, 0x385B0000, 0x385B2000, 0x385B4000, 0x385B6000, 0x385B8000, 0x385BA000, 0x385BC000, 0x385BE000,
0x385C0000, 0x385C2000, 0x385C4000, 0x385C6000, 0x385C8000, 0x385CA000, 0x385CC000, 0x385CE000, 0x385D0000, 0x385D2000, 0x385D4000, 0x385D6000, 0x385D8000, 0x385DA000, 0x385DC000, 0x385DE000,
0x385E0000, 0x385E2000, 0x385E4000, 0x385E6000, 0x385E8000, 0x385EA000, 0x385EC000, 0x385EE000, 0x385F0000, 0x385F2000, 0x385F4000, 0x385F6000, 0x385F8000, 0x385FA000, 0x385FC000, 0x385FE000,
0x38600000, 0x38602000, 0x38604000, 0x38606000, 0x38608000, 0x3860A000, 0x3860C000, 0x3860E000, 0x38610000, 0x38612000, 0x38614000, 0x38616000, 0x38618000, 0x3861A000, 0x3861C000, 0x3861E000,
0x38620000, 0x38622000, 0x38624000, 0x38626000, 0x38628000, 0x3862A000, 0x3862C000, 0x3862E000, 0x38630000, 0x38632000, 0x38634000, 0x38636000, 0x38638000, 0x3863A000, 0x3863C000, 0x3863E000,
0x38640000, 0x38642000, 0x38644000, 0x38646000, 0x38648000, 0x3864A000, 0x3864C000, 0x3864E000, 0x38650000, 0x38652000, 0x38654000, 0x38656000, 0x38658000, 0x3865A000, 0x3865C000, 0x3865E000,
0x38660000, 0x38662000, 0x38664000, 0x38666000, 0x38668000, 0x3866A000, 0x3866C000, 0x3866E000, 0x38670000, 0x38672000, 0x38674000, 0x38676000, 0x38678000, 0x3867A000, 0x3867C000, 0x3867E000,
0x38680000, 0x38682000, 0x38684000, 0x38686000, 0x38688000, 0x3868A000, 0x3868C000, 0x3868E000, 0x38690000, 0x38692000, 0x38694000, 0x38696000, 0x38698000, 0x3869A000, 0x3869C000, 0x3869E000,
0x386A0000, 0x386A2000, 0x386A4000, 0x386A6000, 0x386A8000, 0x386AA000, 0x386AC000, 0x386AE000, 0x386B0000, 0x386B2000, 0x386B4000, 0x386B6000, 0x386B8000, 0x386BA000, 0x386BC000, 0x386BE000,
0x386C0000, 0x386C2000, 0x386C4000, 0x386C6000, 0x386C8000, 0x386CA000, 0x386CC000, 0x386CE000, 0x386D0000, 0x386D2000, 0x386D4000, 0x386D6000, 0x386D8000, 0x386DA000, 0x386DC000, 0x386DE000,
0x386E0000, 0x386E2000, 0x386E4000, 0x386E6000, 0x386E8000, 0x386EA000, 0x386EC000, 0x386EE000, 0x386F0000, 0x386F2000, 0x386F4000, 0x386F6000, 0x386F8000, 0x386FA000, 0x386FC000, 0x386FE000,
0x38700000, 0x38702000, 0x38704000, 0x38706000, 0x38708000, 0x3870A000, 0x3870C000, 0x3870E000, 0x38710000, 0x38712000, 0x38714000, 0x38716000, 0x38718000, 0x3871A000, 0x3871C000, 0x3871E000,
0x38720000, 0x38722000, 0x38724000, 0x38726000, 0x38728000, 0x3872A000, 0x3872C000, 0x3872E000, 0x38730000, 0x38732000, 0x38734000, 0x38736000, 0x38738000, 0x3873A000, 0x3873C000, 0x3873E000,
0x38740000, 0x38742000, 0x38744000, 0x38746000, 0x38748000, 0x3874A000, 0x3874C000, 0x3874E000, 0x38750000, 0x38752000, 0x38754000, 0x38756000, 0x38758000, 0x3875A000, 0x3875C000, 0x3875E000,
0x38760000, 0x38762000, 0x38764000, 0x38766000, 0x38768000, 0x3876A000, 0x3876C000, 0x3876E000, 0x38770000, 0x38772000, 0x38774000, 0x38776000, 0x38778000, 0x3877A000, 0x3877C000, 0x3877E000,
0x38780000, 0x38782000, 0x38784000, 0x38786000, 0x38788000, 0x3878A000, 0x3878C000, 0x3878E000, 0x38790000, 0x38792000, 0x38794000, 0x38796000, 0x38798000, 0x3879A000, 0x3879C000, 0x3879E000,
0x387A0000, 0x387A2000, 0x387A4000, 0x387A6000, 0x387A8000, 0x387AA000, 0x387AC000, 0x387AE000, 0x387B0000, 0x387B2000, 0x387B4000, 0x387B6000, 0x387B8000, 0x387BA000, 0x387BC000, 0x387BE000,
0x387C0000, 0x387C2000, 0x387C4000, 0x387C6000, 0x387C8000, 0x387CA000, 0x387CC000, 0x387CE000, 0x387D0000, 0x387D2000, 0x387D4000, 0x387D6000, 0x387D8000, 0x387DA000, 0x387DC000, 0x387DE000,
0x387E0000, 0x387E2000, 0x387E4000, 0x387E6000, 0x387E8000, 0x387EA000, 0x387EC000, 0x387EE000, 0x387F0000, 0x387F2000, 0x387F4000, 0x387F6000, 0x387F8000, 0x387FA000, 0x387FC000, 0x387FE000 };
static const uint32 exponent_table[64] = {
0x00000000, 0x00800000, 0x01000000, 0x01800000, 0x02000000, 0x02800000, 0x03000000, 0x03800000, 0x04000000, 0x04800000, 0x05000000, 0x05800000, 0x06000000, 0x06800000, 0x07000000, 0x07800000,
0x08000000, 0x08800000, 0x09000000, 0x09800000, 0x0A000000, 0x0A800000, 0x0B000000, 0x0B800000, 0x0C000000, 0x0C800000, 0x0D000000, 0x0D800000, 0x0E000000, 0x0E800000, 0x0F000000, 0x47800000,
0x80000000, 0x80800000, 0x81000000, 0x81800000, 0x82000000, 0x82800000, 0x83000000, 0x83800000, 0x84000000, 0x84800000, 0x85000000, 0x85800000, 0x86000000, 0x86800000, 0x87000000, 0x87800000,
0x88000000, 0x88800000, 0x89000000, 0x89800000, 0x8A000000, 0x8A800000, 0x8B000000, 0x8B800000, 0x8C000000, 0x8C800000, 0x8D000000, 0x8D800000, 0x8E000000, 0x8E800000, 0x8F000000, 0xC7800000 };
static const unsigned short offset_table[64] = {
0, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024,
0, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024, 1024 };
uint32 bits = mantissa_table[offset_table[value>>10]+(value&0x3FF)] + exponent_table[value>>10];
// return *reinterpret_cast<float*>(&bits); //violating strict aliasing!
float out;
std::memcpy(&out, &bits, sizeof(float));
return out;
}
/// Convert half-precision to IEEE double-precision.
/// \param value binary representation of half-precision value
/// \return double-precision value
inline double half2float_impl(uint16 value, double, true_type)
{
typedef bits<float>::type uint32;
typedef bits<double>::type uint64;
uint32 hi = static_cast<uint32>(value&0x8000) << 16;
int abs = value & 0x7FFF;
if(abs)
{
hi |= 0x3F000000 << static_cast<unsigned>(abs>=0x7C00);
for(; abs<0x400; abs<<=1,hi-=0x100000) ;
hi += static_cast<uint32>(abs) << 10;
}
uint64 bits = static_cast<uint64>(hi) << 32;
// return *reinterpret_cast<double*>(&bits); //violating strict aliasing!
double out;
std::memcpy(&out, &bits, sizeof(double));
return out;
}
/// Convert half-precision to non-IEEE floating point.
/// \tparam T type to convert to (builtin integer type)
/// \param value binary representation of half-precision value
/// \return floating point value
template<typename T> T half2float_impl(uint16 value, T, ...)
{
T out;
int abs = value & 0x7FFF;
if(abs > 0x7C00)
out = std::numeric_limits<T>::has_quiet_NaN ? std::numeric_limits<T>::quiet_NaN() : T();
else if(abs == 0x7C00)
out = std::numeric_limits<T>::has_infinity ? std::numeric_limits<T>::infinity() : std::numeric_limits<T>::max();
else if(abs > 0x3FF)
out = std::ldexp(static_cast<T>((abs&0x3FF)|0x400), (abs>>10)-25);
else
out = std::ldexp(static_cast<T>(abs), -24);
return (value&0x8000) ? -out : out;
}
/// Convert half-precision to floating point.
/// \tparam T type to convert to (builtin integer type)
/// \param value binary representation of half-precision value
/// \return floating point value
template<typename T> T half2float(uint16 value)
{
return half2float_impl(value, T(), bool_type<std::numeric_limits<T>::is_iec559&&sizeof(typename bits<T>::type)==sizeof(T)>());
}
/// Convert half-precision floating point to integer.
/// \tparam R rounding mode to use, `std::round_indeterminate` for fastest rounding
/// \tparam E `true` for round to even, `false` for round away from zero
/// \tparam T type to convert to (buitlin integer type with at least 16 bits precision, excluding any implicit sign bits)
/// \param value binary representation of half-precision value
/// \return integral value
template<std::float_round_style R,bool E,typename T> T half2int_impl(uint16 value)
{
#if HALF_ENABLE_CPP11_STATIC_ASSERT && HALF_ENABLE_CPP11_TYPE_TRAITS
static_assert(std::is_integral<T>::value, "half to int conversion only supports builtin integer types");
#endif
unsigned int e = value & 0x7FFF;
if(e >= 0x7C00)
return (value&0x8000) ? std::numeric_limits<T>::min() : std::numeric_limits<T>::max();
if(e < 0x3800)
{
if(R == std::round_toward_infinity)
return T(~(value>>15)&(e!=0));
else if(R == std::round_toward_neg_infinity)
return -T(value>0x8000);
return T();
}
unsigned int m = (value&0x3FF) | 0x400;
e >>= 10;
if(e < 25)
{
if(R == std::round_to_nearest)
m += (1<<(24-e)) - (~(m>>(25-e))&E);
else if(R == std::round_toward_infinity)
m += ((value>>15)-1) & ((1<<(25-e))-1U);
else if(R == std::round_toward_neg_infinity)
m += -(value>>15) & ((1<<(25-e))-1U);
m >>= 25 - e;
}
else
m <<= e - 25;
return (value&0x8000) ? -static_cast<T>(m) : static_cast<T>(m);
}
/// Convert half-precision floating point to integer.
/// \tparam R rounding mode to use, `std::round_indeterminate` for fastest rounding
/// \tparam T type to convert to (buitlin integer type with at least 16 bits precision, excluding any implicit sign bits)
/// \param value binary representation of half-precision value
/// \return integral value
template<std::float_round_style R,typename T> T half2int(uint16 value) { return half2int_impl<R,HALF_ROUND_TIES_TO_EVEN,T>(value); }
/// Convert half-precision floating point to integer using round-to-nearest-away-from-zero.
/// \tparam T type to convert to (buitlin integer type with at least 16 bits precision, excluding any implicit sign bits)
/// \param value binary representation of half-precision value
/// \return integral value
template<typename T> T half2int_up(uint16 value) { return half2int_impl<std::round_to_nearest,0,T>(value); }
/// Round half-precision number to nearest integer value.
/// \tparam R rounding mode to use, `std::round_indeterminate` for fastest rounding
/// \tparam E `true` for round to even, `false` for round away from zero
/// \param value binary representation of half-precision value
/// \return half-precision bits for nearest integral value
template<std::float_round_style R,bool E> uint16 round_half_impl(uint16 value)
{
unsigned int e = value & 0x7FFF;
uint16 result = value;
if(e < 0x3C00)
{
result &= 0x8000;
if(R == std::round_to_nearest)
result |= 0x3C00U & -(e>=(0x3800+E));
else if(R == std::round_toward_infinity)
result |= 0x3C00U & -(~(value>>15)&(e!=0));
else if(R == std::round_toward_neg_infinity)
result |= 0x3C00U & -(value>0x8000);
}
else if(e < 0x6400)
{
e = 25 - (e>>10);
unsigned int mask = (1<<e) - 1;
if(R == std::round_to_nearest)
result += (1<<(e-1)) - (~(result>>e)&E);
else if(R == std::round_toward_infinity)
result += mask & ((value>>15)-1);
else if(R == std::round_toward_neg_infinity)
result += mask & -(value>>15);
result &= ~mask;
}
return result;
}
/// Round half-precision number to nearest integer value.
/// \tparam R rounding mode to use, `std::round_indeterminate` for fastest rounding
/// \param value binary representation of half-precision value
/// \return half-precision bits for nearest integral value
template<std::float_round_style R> uint16 round_half(uint16 value) { return round_half_impl<R,HALF_ROUND_TIES_TO_EVEN>(value); }
/// Round half-precision number to nearest integer value using round-to-nearest-away-from-zero.
/// \param value binary representation of half-precision value
/// \return half-precision bits for nearest integral value
inline uint16 round_half_up(uint16 value) { return round_half_impl<std::round_to_nearest,0>(value); }
/// \}
struct functions;
template<typename> struct unary_specialized;
template<typename,typename> struct binary_specialized;
template<typename,typename,std::float_round_style> struct half_caster;
}
/// Half-precision floating point type.
/// This class implements an IEEE-conformant half-precision floating point type with the usual arithmetic operators and
/// conversions. It is implicitly convertible to single-precision floating point, which makes artihmetic expressions and
/// functions with mixed-type operands to be of the most precise operand type. Additionally all arithmetic operations
/// (and many mathematical functions) are carried out in single-precision internally. All conversions from single- to
/// half-precision are done using the library's default rounding mode, but temporary results inside chained arithmetic
/// expressions are kept in single-precision as long as possible (while of course still maintaining a strong half-precision type).
///
/// According to the C++98/03 definition, the half type is not a POD type. But according to C++11's less strict and
/// extended definitions it is both a standard layout type and a trivially copyable type (even if not a POD type), which
/// means it can be standard-conformantly copied using raw binary copies. But in this context some more words about the
/// actual size of the type. Although the half is representing an IEEE 16-bit type, it does not neccessarily have to be of
/// exactly 16-bits size. But on any reasonable implementation the actual binary representation of this type will most
/// probably not ivolve any additional "magic" or padding beyond the simple binary representation of the underlying 16-bit
/// IEEE number, even if not strictly guaranteed by the standard. But even then it only has an actual size of 16 bits if
/// your C++ implementation supports an unsigned integer type of exactly 16 bits width. But this should be the case on
/// nearly any reasonable platform.
///
/// So if your C++ implementation is not totally exotic or imposes special alignment requirements, it is a reasonable
/// assumption that the data of a half is just comprised of the 2 bytes of the underlying IEEE representation.
class half
{
friend struct detail::functions;
friend struct detail::unary_specialized<half>;
friend struct detail::binary_specialized<half,half>;
template<typename,typename,std::float_round_style> friend struct detail::half_caster;
friend class std::numeric_limits<half>;
#if HALF_ENABLE_CPP11_HASH
friend struct std::hash<half>;
#endif
#if HALF_ENABLE_CPP11_USER_LITERALS
friend half literal::operator""_h(long double);
#endif
public:
/// Default constructor.
/// This initializes the half to 0. Although this does not match the builtin types' default-initialization semantics
/// and may be less efficient than no initialization, it is needed to provide proper value-initialization semantics.
HALF_CONSTEXPR half() HALF_NOEXCEPT : data_() {}
/// Copy constructor.
/// \tparam T type of concrete half expression
/// \param rhs half expression to copy from
half(detail::expr rhs) : data_(detail::float2half<round_style>(static_cast<float>(rhs))) {}
/// Conversion constructor.
/// \param rhs float to convert
explicit half(float rhs) : data_(detail::float2half<round_style>(rhs)) {}
/// Conversion to single-precision.
/// \return single precision value representing expression value
operator float() const { return detail::half2float<float>(data_); }
/// Assignment operator.
/// \tparam T type of concrete half expression
/// \param rhs half expression to copy from
/// \return reference to this half
half& operator=(detail::expr rhs) { return *this = static_cast<float>(rhs); }
/// Arithmetic assignment.
/// \tparam T type of concrete half expression
/// \param rhs half expression to add
/// \return reference to this half
template<typename T> typename detail::enable<half&,T>::type operator+=(T rhs) { return *this += static_cast<float>(rhs); }
/// Arithmetic assignment.
/// \tparam T type of concrete half expression
/// \param rhs half expression to subtract
/// \return reference to this half
template<typename T> typename detail::enable<half&,T>::type operator-=(T rhs) { return *this -= static_cast<float>(rhs); }
/// Arithmetic assignment.
/// \tparam T type of concrete half expression
/// \param rhs half expression to multiply with
/// \return reference to this half
template<typename T> typename detail::enable<half&,T>::type operator*=(T rhs) { return *this *= static_cast<float>(rhs); }
/// Arithmetic assignment.
/// \tparam T type of concrete half expression
/// \param rhs half expression to divide by
/// \return reference to this half
template<typename T> typename detail::enable<half&,T>::type operator/=(T rhs) { return *this /= static_cast<float>(rhs); }
/// Assignment operator.
/// \param rhs single-precision value to copy from
/// \return reference to this half
half& operator=(float rhs) { data_ = detail::float2half<round_style>(rhs); return *this; }
/// Arithmetic assignment.
/// \param rhs single-precision value to add
/// \return reference to this half
half& operator+=(float rhs) { data_ = detail::float2half<round_style>(detail::half2float<float>(data_)+rhs); return *this; }
/// Arithmetic assignment.
/// \param rhs single-precision value to subtract
/// \return reference to this half
half& operator-=(float rhs) { data_ = detail::float2half<round_style>(detail::half2float<float>(data_)-rhs); return *this; }
/// Arithmetic assignment.
/// \param rhs single-precision value to multiply with
/// \return reference to this half
half& operator*=(float rhs) { data_ = detail::float2half<round_style>(detail::half2float<float>(data_)*rhs); return *this; }
/// Arithmetic assignment.
/// \param rhs single-precision value to divide by
/// \return reference to this half
half& operator/=(float rhs) { data_ = detail::float2half<round_style>(detail::half2float<float>(data_)/rhs); return *this; }
/// Prefix increment.
/// \return incremented half value
half& operator++() { return *this += 1.0f; }
/// Prefix decrement.
/// \return decremented half value
half& operator--() { return *this -= 1.0f; }
/// Postfix increment.
/// \return non-incremented half value
half operator++(int) { half out(*this); ++*this; return out; }
/// Postfix decrement.
/// \return non-decremented half value
half operator--(int) { half out(*this); --*this; return out; }
private:
/// Rounding mode to use
static const std::float_round_style round_style = (std::float_round_style)(HALF_ROUND_STYLE);
/// Constructor.
/// \param bits binary representation to set half to
HALF_CONSTEXPR half(detail::binary_t, detail::uint16 bits) HALF_NOEXCEPT : data_(bits) {}
/// Internal binary representation
detail::uint16 data_;
};
#if HALF_ENABLE_CPP11_USER_LITERALS
namespace literal
{
/// Half literal.
/// While this returns an actual half-precision value, half literals can unfortunately not be constant expressions due
/// to rather involved conversions.
/// \param value literal value
/// \return half with given value (if representable)
inline half operator""_h(long double value) { return half(detail::binary, detail::float2half<half::round_style>(value)); }
}
#endif
namespace detail
{
/// Wrapper implementing unspecialized half-precision functions.
struct functions
{
/// Addition implementation.
/// \param x first operand
/// \param y second operand
/// \return Half-precision sum stored in single-precision
static expr plus(float x, float y) { return expr(x+y); }
/// Subtraction implementation.
/// \param x first operand
/// \param y second operand
/// \return Half-precision difference stored in single-precision
static expr minus(float x, float y) { return expr(x-y); }
/// Multiplication implementation.
/// \param x first operand
/// \param y second operand
/// \return Half-precision product stored in single-precision
static expr multiplies(float x, float y) { return expr(x*y); }
/// Division implementation.
/// \param x first operand
/// \param y second operand
/// \return Half-precision quotient stored in single-precision
static expr divides(float x, float y) { return expr(x/y); }
/// Output implementation.
/// \param out stream to write to
/// \param arg value to write
/// \return reference to stream
template<typename charT,typename traits> static std::basic_ostream<charT,traits>& write(std::basic_ostream<charT,traits> &out, float arg) { return out << arg; }
/// Input implementation.
/// \param in stream to read from
/// \param arg half to read into
/// \return reference to stream
template<typename charT,typename traits> static std::basic_istream<charT,traits>& read(std::basic_istream<charT,traits> &in, half &arg)
{
float f;
if(in >> f)
arg = f;
return in;
}
/// Modulo implementation.
/// \param x first operand
/// \param y second operand
/// \return Half-precision division remainder stored in single-precision
static expr fmod(float x, float y) { return expr(std::fmod(x, y)); }
/// Remainder implementation.
/// \param x first operand
/// \param y second operand
/// \return Half-precision division remainder stored in single-precision
static expr remainder(float x, float y)
{
#if HALF_ENABLE_CPP11_CMATH
return expr(std::remainder(x, y));
#else
if(builtin_isnan(x) || builtin_isnan(y))
return expr(std::numeric_limits<float>::quiet_NaN());
float ax = std::fabs(x), ay = std::fabs(y);
if(ax >= 65536.0f || ay < std::ldexp(1.0f, -24))
return expr(std::numeric_limits<float>::quiet_NaN());
if(ay >= 65536.0f)
return expr(x);
if(ax == ay)
return expr(builtin_signbit(x) ? -0.0f : 0.0f);
ax = std::fmod(ax, ay+ay);
float y2 = 0.5f * ay;
if(ax > y2)
{
ax -= ay;
if(ax >= y2)
ax -= ay;
}
return expr(builtin_signbit(x) ? -ax : ax);
#endif
}
/// Remainder implementation.
/// \param x first operand
/// \param y second operand
/// \param quo address to store quotient bits at
/// \return Half-precision division remainder stored in single-precision
static expr remquo(float x, float y, int *quo)
{
#if HALF_ENABLE_CPP11_CMATH
return expr(std::remquo(x, y, quo));
#else
if(builtin_isnan(x) || builtin_isnan(y))
return expr(std::numeric_limits<float>::quiet_NaN());
bool sign = builtin_signbit(x), qsign = static_cast<bool>(sign^builtin_signbit(y));
float ax = std::fabs(x), ay = std::fabs(y);
if(ax >= 65536.0f || ay < std::ldexp(1.0f, -24))
return expr(std::numeric_limits<float>::quiet_NaN());
if(ay >= 65536.0f)
return expr(x);
if(ax == ay)
return *quo = qsign ? -1 : 1, expr(sign ? -0.0f : 0.0f);
ax = std::fmod(ax, 8.0f*ay);
int cquo = 0;
if(ax >= 4.0f * ay)
{
ax -= 4.0f * ay;
cquo += 4;
}
if(ax >= 2.0f * ay)
{
ax -= 2.0f * ay;
cquo += 2;
}
float y2 = 0.5f * ay;
if(ax > y2)
{
ax -= ay;
++cquo;
if(ax >= y2)
{
ax -= ay;
++cquo;
}
}
return *quo = qsign ? -cquo : cquo, expr(sign ? -ax : ax);
#endif
}
/// Positive difference implementation.
/// \param x first operand
/// \param y second operand
/// \return Positive difference stored in single-precision
static expr fdim(float x, float y)
{
#if HALF_ENABLE_CPP11_CMATH
return expr(std::fdim(x, y));
#else
return expr((x<=y) ? 0.0f : (x-y));
#endif
}
/// Fused multiply-add implementation.
/// \param x first operand
/// \param y second operand
/// \param z third operand
/// \return \a x * \a y + \a z stored in single-precision
static expr fma(float x, float y, float z)
{
#if HALF_ENABLE_CPP11_CMATH && defined(FP_FAST_FMAF)
return expr(std::fma(x, y, z));
#else
return expr(x*y+z);
#endif
}
/// Get NaN.
/// \return Half-precision quiet NaN
static half nanh() { return half(binary, 0x7FFF); }
/// Exponential implementation.
/// \param arg function argument
/// \return function value stored in single-preicision
static expr exp(float arg) { return expr(std::exp(arg)); }
/// Exponential implementation.
/// \param arg function argument
/// \return function value stored in single-preicision
static expr expm1(float arg)
{
#if HALF_ENABLE_CPP11_CMATH
return expr(std::expm1(arg));
#else
return expr(static_cast<float>(std::exp(static_cast<double>(arg))-1.0));
#endif
}
/// Binary exponential implementation.
/// \param arg function argument
/// \return function value stored in single-preicision
static expr exp2(float arg)
{
#if HALF_ENABLE_CPP11_CMATH
return expr(std::exp2(arg));
#else
return expr(static_cast<float>(std::exp(arg*0.69314718055994530941723212145818)));
#endif
}
/// Logarithm implementation.
/// \param arg function argument
/// \return function value stored in single-preicision
static expr log(float arg) { return expr(std::log(arg)); }
/// Common logarithm implementation.
/// \param arg function argument
/// \return function value stored in single-preicision
static expr log10(float arg) { return expr(std::log10(arg)); }
/// Logarithm implementation.
/// \param arg function argument
/// \return function value stored in single-preicision
static expr log1p(float arg)
{
#if HALF_ENABLE_CPP11_CMATH
return expr(std::log1p(arg));
#else
return expr(static_cast<float>(std::log(1.0+arg)));
#endif
}
/// Binary logarithm implementation.
/// \param arg function argument
/// \return function value stored in single-preicision
static expr log2(float arg)
{
#if HALF_ENABLE_CPP11_CMATH
return expr(std::log2(arg));
#else
return expr(static_cast<float>(std::log(static_cast<double>(arg))*1.4426950408889634073599246810019));
#endif
}
/// Square root implementation.
/// \param arg function argument
/// \return function value stored in single-preicision
static expr sqrt(float arg) { return expr(std::sqrt(arg)); }
/// Cubic root implementation.
/// \param arg function argument
/// \return function value stored in single-preicision
static expr cbrt(float arg)
{
#if HALF_ENABLE_CPP11_CMATH
return expr(std::cbrt(arg));
#else
if(builtin_isnan(arg) || builtin_isinf(arg))
return expr(arg);
return expr(builtin_signbit(arg) ? -static_cast<float>(std::pow(-static_cast<double>(arg), 1.0/3.0)) :
static_cast<float>(std::pow(static_cast<double>(arg), 1.0/3.0)));
#endif
}
/// Hypotenuse implementation.
/// \param x first argument
/// \param y second argument
/// \return function value stored in single-preicision
static expr hypot(float x, float y)
{
#if HALF_ENABLE_CPP11_CMATH
return expr(std::hypot(x, y));
#else
return expr((builtin_isinf(x) || builtin_isinf(y)) ? std::numeric_limits<float>::infinity() :
static_cast<float>(std::sqrt(static_cast<double>(x)*x+static_cast<double>(y)*y)));
#endif
}
/// Power implementation.
/// \param base value to exponentiate
/// \param exp power to expontiate to
/// \return function value stored in single-preicision
static expr pow(float base, float exp) { return expr(std::pow(base, exp)); }
/// Sine implementation.
/// \param arg function argument
/// \return function value stored in single-preicision
static expr sin(float arg) { return expr(std::sin(arg)); }
/// Cosine implementation.
/// \param arg function argument
/// \return function value stored in single-preicision
static expr cos(float arg) { return expr(std::cos(arg)); }
/// Tan implementation.
/// \param arg function argument
/// \return function value stored in single-preicision
static expr tan(float arg) { return expr(std::tan(arg)); }
/// Arc sine implementation.
/// \param arg function argument
/// \return function value stored in single-preicision
static expr asin(float arg) { return expr(std::asin(arg)); }
/// Arc cosine implementation.
/// \param arg function argument
/// \return function value stored in single-preicision
static expr acos(float arg) { return expr(std::acos(arg)); }
/// Arc tangent implementation.
/// \param arg function argument
/// \return function value stored in single-preicision
static expr atan(float arg) { return expr(std::atan(arg)); }
/// Arc tangent implementation.
/// \param x first argument
/// \param y second argument
/// \return function value stored in single-preicision
static expr atan2(float x, float y) { return expr(std::atan2(x, y)); }
/// Hyperbolic sine implementation.
/// \param arg function argument
/// \return function value stored in single-preicision
static expr sinh(float arg) { return expr(std::sinh(arg)); }
/// Hyperbolic cosine implementation.
/// \param arg function argument
/// \return function value stored in single-preicision
static expr cosh(float arg) { return expr(std::cosh(arg)); }
/// Hyperbolic tangent implementation.
/// \param arg function argument
/// \return function value stored in single-preicision
static expr tanh(float arg) { return expr(std::tanh(arg)); }
/// Hyperbolic area sine implementation.
/// \param arg function argument
/// \return function value stored in single-preicision
static expr asinh(float arg)
{
#if HALF_ENABLE_CPP11_CMATH
return expr(std::asinh(arg));
#else
return expr((arg==-std::numeric_limits<float>::infinity()) ? arg : static_cast<float>(std::log(arg+std::sqrt(arg*arg+1.0))));
#endif
}
/// Hyperbolic area cosine implementation.
/// \param arg function argument
/// \return function value stored in single-preicision
static expr acosh(float arg)
{
#if HALF_ENABLE_CPP11_CMATH
return expr(std::acosh(arg));
#else
return expr((arg<-1.0f) ? std::numeric_limits<float>::quiet_NaN() : static_cast<float>(std::log(arg+std::sqrt(arg*arg-1.0))));
#endif
}
/// Hyperbolic area tangent implementation.
/// \param arg function argument
/// \return function value stored in single-preicision
static expr atanh(float arg)
{
#if HALF_ENABLE_CPP11_CMATH
return expr(std::atanh(arg));
#else
return expr(static_cast<float>(0.5*std::log((1.0+arg)/(1.0-arg))));
#endif
}
/// Error function implementation.
/// \param arg function argument
/// \return function value stored in single-preicision
static expr erf(float arg)
{
#if HALF_ENABLE_CPP11_CMATH
return expr(std::erf(arg));
#else
return expr(static_cast<float>(erf(static_cast<double>(arg))));
#endif
}
/// Complementary implementation.
/// \param arg function argument
/// \return function value stored in single-preicision
static expr erfc(float arg)
{
#if HALF_ENABLE_CPP11_CMATH
return expr(std::erfc(arg));
#else
return expr(static_cast<float>(1.0-erf(static_cast<double>(arg))));
#endif
}
/// Gamma logarithm implementation.
/// \param arg function argument
/// \return function value stored in single-preicision
static expr lgamma(float arg)
{
#if HALF_ENABLE_CPP11_CMATH
return expr(std::lgamma(arg));
#else
if(builtin_isinf(arg))
return expr(std::numeric_limits<float>::infinity());
if(arg < 0.0f)
{
float i, f = std::modf(-arg, &i);
if(f == 0.0f)
return expr(std::numeric_limits<float>::infinity());
return expr(static_cast<float>(1.1447298858494001741434273513531-
std::log(std::abs(std::sin(3.1415926535897932384626433832795*f)))-lgamma(1.0-arg)));
}
return expr(static_cast<float>(lgamma(static_cast<double>(arg))));
#endif
}
/// Gamma implementation.
/// \param arg function argument
/// \return function value stored in single-preicision
static expr tgamma(float arg)
{
#if HALF_ENABLE_CPP11_CMATH
return expr(std::tgamma(arg));
#else
if(arg == 0.0f)
return builtin_signbit(arg) ? expr(-std::numeric_limits<float>::infinity()) : expr(std::numeric_limits<float>::infinity());
if(arg < 0.0f)
{
float i, f = std::modf(-arg, &i);
if(f == 0.0f)
return expr(std::numeric_limits<float>::quiet_NaN());
double value = 3.1415926535897932384626433832795 / (std::sin(3.1415926535897932384626433832795*f)*std::exp(lgamma(1.0-arg)));
return expr(static_cast<float>((std::fmod(i, 2.0f)==0.0f) ? -value : value));
}
if(builtin_isinf(arg))
return expr(arg);
return expr(static_cast<float>(std::exp(lgamma(static_cast<double>(arg)))));
#endif
}
/// Floor implementation.
/// \param arg value to round
/// \return rounded value
static half floor(half arg) { return half(binary, round_half<std::round_toward_neg_infinity>(arg.data_)); }
/// Ceiling implementation.
/// \param arg value to round
/// \return rounded value
static half ceil(half arg) { return half(binary, round_half<std::round_toward_infinity>(arg.data_)); }
/// Truncation implementation.
/// \param arg value to round
/// \return rounded value
static half trunc(half arg) { return half(binary, round_half<std::round_toward_zero>(arg.data_)); }
/// Nearest integer implementation.
/// \param arg value to round
/// \return rounded value
static half round(half arg) { return half(binary, round_half_up(arg.data_)); }
/// Nearest integer implementation.
/// \param arg value to round
/// \return rounded value
static long lround(half arg) { return detail::half2int_up<long>(arg.data_); }
/// Nearest integer implementation.
/// \param arg value to round
/// \return rounded value
static half rint(half arg) { return half(binary, round_half<half::round_style>(arg.data_)); }
/// Nearest integer implementation.
/// \param arg value to round
/// \return rounded value
static long lrint(half arg) { return detail::half2int<half::round_style,long>(arg.data_); }
#if HALF_ENABLE_CPP11_LONG_LONG
/// Nearest integer implementation.
/// \param arg value to round
/// \return rounded value
static long long llround(half arg) { return detail::half2int_up<long long>(arg.data_); }
/// Nearest integer implementation.
/// \param arg value to round
/// \return rounded value
static long long llrint(half arg) { return detail::half2int<half::round_style,long long>(arg.data_); }
#endif
/// Decompression implementation.
/// \param arg number to decompress
/// \param exp address to store exponent at
/// \return normalized significant
static half frexp(half arg, int *exp)
{
int m = arg.data_ & 0x7FFF, e = -14;
if(m >= 0x7C00 || !m)
return *exp = 0, arg;
for(; m<0x400; m<<=1,--e) ;
return *exp = e+(m>>10), half(binary, (arg.data_&0x8000)|0x3800|(m&0x3FF));
}
/// Decompression implementation.
/// \param arg number to decompress
/// \param iptr address to store integer part at
/// \return fractional part
static half modf(half arg, half *iptr)
{
unsigned int e = arg.data_ & 0x7FFF;
if(e >= 0x6400)
return *iptr = arg, half(binary, arg.data_&(0x8000U|-(e>0x7C00)));
if(e < 0x3C00)
return iptr->data_ = arg.data_ & 0x8000, arg;
e >>= 10;
unsigned int mask = (1<<(25-e)) - 1, m = arg.data_ & mask;
iptr->data_ = arg.data_ & ~mask;
if(!m)
return half(binary, arg.data_&0x8000);
for(; m<0x400; m<<=1,--e) ;
return half(binary, static_cast<uint16>((arg.data_&0x8000)|(e<<10)|(m&0x3FF)));
}
/// Scaling implementation.
/// \param arg number to scale
/// \param exp power of two to scale by
/// \return scaled number
static half scalbln(half arg, long exp)
{
unsigned int m = arg.data_ & 0x7FFF;
if(m >= 0x7C00 || !m)
return arg;
for(; m<0x400; m<<=1,--exp) ;
exp += m >> 10;
uint16 value = arg.data_ & 0x8000;
if(exp > 30)
{
if(half::round_style == std::round_toward_zero)
value |= 0x7BFF;
else if(half::round_style == std::round_toward_infinity)
value |= 0x7C00 - (value>>15);
else if(half::round_style == std::round_toward_neg_infinity)
value |= 0x7BFF + (value>>15);
else
value |= 0x7C00;
}
else if(exp > 0)
value |= (exp<<10) | (m&0x3FF);
else if(exp > -11)
{
m = (m&0x3FF) | 0x400;
if(half::round_style == std::round_to_nearest)
{
m += 1 << -exp;
#if HALF_ROUND_TIES_TO_EVEN
m -= (m>>(1-exp)) & 1;
#endif
}
else if(half::round_style == std::round_toward_infinity)
m += ((value>>15)-1) & ((1<<(1-exp))-1U);
else if(half::round_style == std::round_toward_neg_infinity)
m += -(value>>15) & ((1<<(1-exp))-1U);
value |= m >> (1-exp);
}
else if(half::round_style == std::round_toward_infinity)
value -= (value>>15) - 1;
else if(half::round_style == std::round_toward_neg_infinity)
value += value >> 15;
return half(binary, value);
}
/// Exponent implementation.
/// \param arg number to query
/// \return floating point exponent
static int ilogb(half arg)
{
int abs = arg.data_ & 0x7FFF;
if(!abs)
return FP_ILOGB0;
if(abs < 0x7C00)
{
int exp = (abs>>10) - 15;
if(abs < 0x400)
for(; abs<0x200; abs<<=1,--exp) ;
return exp;
}
if(abs > 0x7C00)
return FP_ILOGBNAN;
return INT_MAX;
}
/// Exponent implementation.
/// \param arg number to query
/// \return floating point exponent
static half logb(half arg)
{
int abs = arg.data_ & 0x7FFF;
if(!abs)
return half(binary, 0xFC00);
if(abs < 0x7C00)
{
int exp = (abs>>10) - 15;
if(abs < 0x400)
for(; abs<0x200; abs<<=1,--exp) ;
uint16 bits = (exp<0) << 15;
if(exp)
{
unsigned int m = std::abs(exp) << 6, e = 18;
for(; m<0x400; m<<=1,--e) ;
bits |= (e<<10) + m;
}
return half(binary, bits);
}
if(abs > 0x7C00)
return arg;
return half(binary, 0x7C00);
}
/// Enumeration implementation.
/// \param from number to increase/decrease
/// \param to direction to enumerate into
/// \return next representable number
static half nextafter(half from, half to)
{
uint16 fabs = from.data_ & 0x7FFF, tabs = to.data_ & 0x7FFF;
if(fabs > 0x7C00)
return from;
if(tabs > 0x7C00 || from.data_ == to.data_ || !(fabs|tabs))
return to;
if(!fabs)
return half(binary, (to.data_&0x8000)+1);
bool lt = ((fabs==from.data_) ? static_cast<int>(fabs) : -static_cast<int>(fabs)) <
((tabs==to.data_) ? static_cast<int>(tabs) : -static_cast<int>(tabs));
return half(binary, from.data_+(((from.data_>>15)^static_cast<unsigned>(lt))<<1)-1);
}
/// Enumeration implementation.
/// \param from number to increase/decrease
/// \param to direction to enumerate into
/// \return next representable number
static half nexttoward(half from, long double to)
{
if(isnan(from))
return from;
long double lfrom = static_cast<long double>(from);
if(builtin_isnan(to) || lfrom == to)
return half(static_cast<float>(to));
if(!(from.data_&0x7FFF))
return half(binary, (static_cast<detail::uint16>(builtin_signbit(to))<<15)+1);
return half(binary, from.data_+(((from.data_>>15)^static_cast<unsigned>(lfrom<to))<<1)-1);
}
/// Sign implementation
/// \param x first operand
/// \param y second operand
/// \return composed value
static half copysign(half x, half y) { return half(binary, x.data_^((x.data_^y.data_)&0x8000)); }
/// Classification implementation.
/// \param arg value to classify
/// \retval true if infinite number
/// \retval false else
static int fpclassify(half arg)
{
unsigned int abs = arg.data_ & 0x7FFF;
return abs ? ((abs>0x3FF) ? ((abs>=0x7C00) ? ((abs>0x7C00) ? FP_NAN : FP_INFINITE) : FP_NORMAL) :FP_SUBNORMAL) : FP_ZERO;
}
/// Classification implementation.
/// \param arg value to classify
/// \retval true if finite number
/// \retval false else
static bool isfinite(half arg) { return (arg.data_&0x7C00) != 0x7C00; }
/// Classification implementation.
/// \param arg value to classify
/// \retval true if infinite number
/// \retval false else
static bool isinf(half arg) { return (arg.data_&0x7FFF) == 0x7C00; }
/// Classification implementation.
/// \param arg value to classify
/// \retval true if not a number
/// \retval false else
static bool isnan(half arg) { return (arg.data_&0x7FFF) > 0x7C00; }
/// Classification implementation.
/// \param arg value to classify
/// \retval true if normal number
/// \retval false else
static bool isnormal(half arg) { return ((arg.data_&0x7C00)!=0) & ((arg.data_&0x7C00)!=0x7C00); }
/// Sign bit implementation.
/// \param arg value to check
/// \retval true if signed
/// \retval false if unsigned
static bool signbit(half arg) { return (arg.data_&0x8000) != 0; }
/// Comparison implementation.
/// \param x first operand
/// \param y second operand
/// \retval true if operands equal
/// \retval false else
static bool isequal(half x, half y) { return (x.data_==y.data_ || !((x.data_|y.data_)&0x7FFF)) && !isnan(x); }
/// Comparison implementation.
/// \param x first operand
/// \param y second operand
/// \retval true if operands not equal
/// \retval false else
static bool isnotequal(half x, half y) { return (x.data_!=y.data_ && ((x.data_|y.data_)&0x7FFF)) || isnan(x); }
/// Comparison implementation.
/// \param x first operand
/// \param y second operand
/// \retval true if \a x > \a y
/// \retval false else
static bool isgreater(half x, half y)
{
int xabs = x.data_ & 0x7FFF, yabs = y.data_ & 0x7FFF;
return xabs<=0x7C00 && yabs<=0x7C00 && (((xabs==x.data_) ? xabs : -xabs) > ((yabs==y.data_) ? yabs : -yabs));
}
/// Comparison implementation.
/// \param x first operand
/// \param y second operand
/// \retval true if \a x >= \a y
/// \retval false else
static bool isgreaterequal(half x, half y)
{
int xabs = x.data_ & 0x7FFF, yabs = y.data_ & 0x7FFF;
return xabs<=0x7C00 && yabs<=0x7C00 && (((xabs==x.data_) ? xabs : -xabs) >= ((yabs==y.data_) ? yabs : -yabs));
}
/// Comparison implementation.
/// \param x first operand
/// \param y second operand
/// \retval true if \a x < \a y
/// \retval false else
static bool isless(half x, half y)
{
int xabs = x.data_ & 0x7FFF, yabs = y.data_ & 0x7FFF;
return xabs<=0x7C00 && yabs<=0x7C00 && (((xabs==x.data_) ? xabs : -xabs) < ((yabs==y.data_) ? yabs : -yabs));
}
/// Comparison implementation.
/// \param x first operand
/// \param y second operand
/// \retval true if \a x <= \a y
/// \retval false else
static bool islessequal(half x, half y)
{
int xabs = x.data_ & 0x7FFF, yabs = y.data_ & 0x7FFF;
return xabs<=0x7C00 && yabs<=0x7C00 && (((xabs==x.data_) ? xabs : -xabs) <= ((yabs==y.data_) ? yabs : -yabs));
}
/// Comparison implementation.
/// \param x first operand
/// \param y second operand
/// \retval true if either \a x > \a y nor \a x < \a y
/// \retval false else
static bool islessgreater(half x, half y)
{
int xabs = x.data_ & 0x7FFF, yabs = y.data_ & 0x7FFF;
if(xabs > 0x7C00 || yabs > 0x7C00)
return false;
int a = (xabs==x.data_) ? xabs : -xabs, b = (yabs==y.data_) ? yabs : -yabs;
return a < b || a > b;
}
/// Comparison implementation.
/// \param x first operand
/// \param y second operand
/// \retval true if operand unordered
/// \retval false else
static bool isunordered(half x, half y) { return isnan(x) || isnan(y); }
private:
static double erf(double arg)
{
if(builtin_isinf(arg))
return (arg<0.0) ? -1.0 : 1.0;
double x2 = arg * arg, ax2 = 0.147 * x2, value = std::sqrt(1.0-std::exp(-x2*(1.2732395447351626861510701069801+ax2)/(1.0+ax2)));
return builtin_signbit(arg) ? -value : value;
}
static double lgamma(double arg)
{
double v = 1.0;
for(; arg<8.0; ++arg) v *= arg;
double w = 1.0 / (arg*arg);
return (((((((-0.02955065359477124183006535947712*w+0.00641025641025641025641025641026)*w+
-0.00191752691752691752691752691753)*w+8.4175084175084175084175084175084e-4)*w+
-5.952380952380952380952380952381e-4)*w+7.9365079365079365079365079365079e-4)*w+
-0.00277777777777777777777777777778)*w+0.08333333333333333333333333333333)/arg +
0.91893853320467274178032973640562 - std::log(v) - arg + (arg-0.5) * std::log(arg);
}
};
/// Wrapper for unary half-precision functions needing specialization for individual argument types.
/// \tparam T argument type
template<typename T> struct unary_specialized
{
/// Negation implementation.
/// \param arg value to negate
/// \return negated value
static HALF_CONSTEXPR half negate(half arg) { return half(binary, arg.data_^0x8000); }
/// Absolute value implementation.
/// \param arg function argument
/// \return absolute value
static half fabs(half arg) { return half(binary, arg.data_&0x7FFF); }
};
template<> struct unary_specialized<expr>
{
static HALF_CONSTEXPR expr negate(float arg) { return expr(-arg); }
static expr fabs(float arg) { return expr(std::fabs(arg)); }
};
/// Wrapper for binary half-precision functions needing specialization for individual argument types.
/// \tparam T first argument type
/// \tparam U first argument type
template<typename T,typename U> struct binary_specialized
{
/// Minimum implementation.
/// \param x first operand
/// \param y second operand
/// \return minimum value
static expr fmin(float x, float y)
{
#if HALF_ENABLE_CPP11_CMATH
return expr(std::fmin(x, y));
#else
if(builtin_isnan(x))
return expr(y);
if(builtin_isnan(y))
return expr(x);
return expr(std::min(x, y));
#endif
}
/// Maximum implementation.
/// \param x first operand
/// \param y second operand
/// \return maximum value
static expr fmax(float x, float y)
{
#if HALF_ENABLE_CPP11_CMATH
return expr(std::fmax(x, y));
#else
if(builtin_isnan(x))
return expr(y);
if(builtin_isnan(y))
return expr(x);
return expr(std::max(x, y));
#endif
}
};
template<> struct binary_specialized<half,half>
{
static half fmin(half x, half y)
{
int xabs = x.data_ & 0x7FFF, yabs = y.data_ & 0x7FFF;
if(xabs > 0x7C00)
return y;
if(yabs > 0x7C00)
return x;
return (((xabs==x.data_) ? xabs : -xabs) > ((yabs==y.data_) ? yabs : -yabs)) ? y : x;
}
static half fmax(half x, half y)
{
int xabs = x.data_ & 0x7FFF, yabs = y.data_ & 0x7FFF;
if(xabs > 0x7C00)
return y;
if(yabs > 0x7C00)
return x;
return (((xabs==x.data_) ? xabs : -xabs) < ((yabs==y.data_) ? yabs : -yabs)) ? y : x;
}
};
/// Helper class for half casts.
/// This class template has to be specialized for all valid cast argument to define an appropriate static `cast` member
/// function and a corresponding `type` member denoting its return type.
/// \tparam T destination type
/// \tparam U source type
/// \tparam R rounding mode to use
template<typename T,typename U,std::float_round_style R=(std::float_round_style)(HALF_ROUND_STYLE)> struct half_caster {};
template<typename U,std::float_round_style R> struct half_caster<half,U,R>
{
#if HALF_ENABLE_CPP11_STATIC_ASSERT && HALF_ENABLE_CPP11_TYPE_TRAITS
static_assert(std::is_arithmetic<U>::value, "half_cast from non-arithmetic type unsupported");
#endif
static half cast(U arg) { return cast_impl(arg, is_float<U>()); };
private:
static half cast_impl(U arg, true_type) { return half(binary, float2half<R>(arg)); }
static half cast_impl(U arg, false_type) { return half(binary, int2half<R>(arg)); }
};
template<typename T,std::float_round_style R> struct half_caster<T,half,R>
{
#if HALF_ENABLE_CPP11_STATIC_ASSERT && HALF_ENABLE_CPP11_TYPE_TRAITS
static_assert(std::is_arithmetic<T>::value, "half_cast to non-arithmetic type unsupported");
#endif
static T cast(half arg) { return cast_impl(arg, is_float<T>()); }
private:
static T cast_impl(half arg, true_type) { return half2float<T>(arg.data_); }
static T cast_impl(half arg, false_type) { return half2int<R,T>(arg.data_); }
};
template<typename T,std::float_round_style R> struct half_caster<T,expr,R>
{
#if HALF_ENABLE_CPP11_STATIC_ASSERT && HALF_ENABLE_CPP11_TYPE_TRAITS
static_assert(std::is_arithmetic<T>::value, "half_cast to non-arithmetic type unsupported");
#endif
static T cast(expr arg) { return cast_impl(arg, is_float<T>()); }
private:
static T cast_impl(float arg, true_type) { return static_cast<T>(arg); }
static T cast_impl(half arg, false_type) { return half2int<R,T>(arg.data_); }
};
template<std::float_round_style R> struct half_caster<half,half,R>
{
static half cast(half arg) { return arg; }
};
template<std::float_round_style R> struct half_caster<half,expr,R> : half_caster<half,half,R> {};
/// \name Comparison operators
/// \{
/// Comparison for equality.
/// \param x first operand
/// \param y second operand
/// \retval true if operands equal
/// \retval false else
template<typename T,typename U> typename enable<bool,T,U>::type operator==(T x, U y) { return functions::isequal(x, y); }
/// Comparison for inequality.
/// \param x first operand
/// \param y second operand
/// \retval true if operands not equal
/// \retval false else
template<typename T,typename U> typename enable<bool,T,U>::type operator!=(T x, U y) { return functions::isnotequal(x, y); }
/// Comparison for less than.
/// \param x first operand
/// \param y second operand
/// \retval true if \a x less than \a y
/// \retval false else
template<typename T,typename U> typename enable<bool,T,U>::type operator<(T x, U y) { return functions::isless(x, y); }
/// Comparison for greater than.
/// \param x first operand
/// \param y second operand
/// \retval true if \a x greater than \a y
/// \retval false else
template<typename T,typename U> typename enable<bool,T,U>::type operator>(T x, U y) { return functions::isgreater(x, y); }
/// Comparison for less equal.
/// \param x first operand
/// \param y second operand
/// \retval true if \a x less equal \a y
/// \retval false else
template<typename T,typename U> typename enable<bool,T,U>::type operator<=(T x, U y) { return functions::islessequal(x, y); }
/// Comparison for greater equal.
/// \param x first operand
/// \param y second operand
/// \retval true if \a x greater equal \a y
/// \retval false else
template<typename T,typename U> typename enable<bool,T,U>::type operator>=(T x, U y) { return functions::isgreaterequal(x, y); }
/// \}
/// \name Arithmetic operators
/// \{
/// Add halfs.
/// \param x left operand
/// \param y right operand
/// \return sum of half expressions
template<typename T,typename U> typename enable<expr,T,U>::type operator+(T x, U y) { return functions::plus(x, y); }
/// Subtract halfs.
/// \param x left operand
/// \param y right operand
/// \return difference of half expressions
template<typename T,typename U> typename enable<expr,T,U>::type operator-(T x, U y) { return functions::minus(x, y); }
/// Multiply halfs.
/// \param x left operand
/// \param y right operand
/// \return product of half expressions
template<typename T,typename U> typename enable<expr,T,U>::type operator*(T x, U y) { return functions::multiplies(x, y); }
/// Divide halfs.
/// \param x left operand
/// \param y right operand
/// \return quotient of half expressions
template<typename T,typename U> typename enable<expr,T,U>::type operator/(T x, U y) { return functions::divides(x, y); }
/// Identity.
/// \param arg operand
/// \return uncahnged operand
template<typename T> HALF_CONSTEXPR typename enable<T,T>::type operator+(T arg) { return arg; }
/// Negation.
/// \param arg operand
/// \return negated operand
template<typename T> HALF_CONSTEXPR typename enable<T,T>::type operator-(T arg) { return unary_specialized<T>::negate(arg); }
/// \}
/// \name Input and output
/// \{
/// Output operator.
/// \param out output stream to write into
/// \param arg half expression to write
/// \return reference to output stream
template<typename T,typename charT,typename traits> typename enable<std::basic_ostream<charT,traits>&,T>::type
operator<<(std::basic_ostream<charT,traits> &out, T arg) { return functions::write(out, arg); }
/// Input operator.
/// \param in input stream to read from
/// \param arg half to read into
/// \return reference to input stream
template<typename charT,typename traits> std::basic_istream<charT,traits>&
operator>>(std::basic_istream<charT,traits> &in, half &arg) { return functions::read(in, arg); }
/// \}
/// \name Basic mathematical operations
/// \{
/// Absolute value.
/// \param arg operand
/// \return absolute value of \a arg
// template<typename T> typename enable<T,T>::type abs(T arg) { return unary_specialized<T>::fabs(arg); }
inline half abs(half arg) { return unary_specialized<half>::fabs(arg); }
inline expr abs(expr arg) { return unary_specialized<expr>::fabs(arg); }
/// Absolute value.
/// \param arg operand
/// \return absolute value of \a arg
// template<typename T> typename enable<T,T>::type fabs(T arg) { return unary_specialized<T>::fabs(arg); }
inline half fabs(half arg) { return unary_specialized<half>::fabs(arg); }
inline expr fabs(expr arg) { return unary_specialized<expr>::fabs(arg); }
/// Remainder of division.
/// \param x first operand
/// \param y second operand
/// \return remainder of floating point division.
// template<typename T,typename U> typename enable<expr,T,U>::type fmod(T x, U y) { return functions::fmod(x, y); }
inline expr fmod(half x, half y) { return functions::fmod(x, y); }
inline expr fmod(half x, expr y) { return functions::fmod(x, y); }
inline expr fmod(expr x, half y) { return functions::fmod(x, y); }
inline expr fmod(expr x, expr y) { return functions::fmod(x, y); }
/// Remainder of division.
/// \param x first operand
/// \param y second operand
/// \return remainder of floating point division.
// template<typename T,typename U> typename enable<expr,T,U>::type remainder(T x, U y) { return functions::remainder(x, y); }
inline expr remainder(half x, half y) { return functions::remainder(x, y); }
inline expr remainder(half x, expr y) { return functions::remainder(x, y); }
inline expr remainder(expr x, half y) { return functions::remainder(x, y); }
inline expr remainder(expr x, expr y) { return functions::remainder(x, y); }
/// Remainder of division.
/// \param x first operand
/// \param y second operand
/// \param quo address to store some bits of quotient at
/// \return remainder of floating point division.
// template<typename T,typename U> typename enable<expr,T,U>::type remquo(T x, U y, int *quo) { return functions::remquo(x, y, quo); }
inline expr remquo(half x, half y, int *quo) { return functions::remquo(x, y, quo); }
inline expr remquo(half x, expr y, int *quo) { return functions::remquo(x, y, quo); }
inline expr remquo(expr x, half y, int *quo) { return functions::remquo(x, y, quo); }
inline expr remquo(expr x, expr y, int *quo) { return functions::remquo(x, y, quo); }
/// Fused multiply add.
/// \param x first operand
/// \param y second operand
/// \param z third operand
/// \return ( \a x * \a y ) + \a z rounded as one operation.
// template<typename T,typename U,typename V> typename enable<expr,T,U,V>::type fma(T x, U y, V z) { return functions::fma(x, y, z); }
inline expr fma(half x, half y, half z) { return functions::fma(x, y, z); }
inline expr fma(half x, half y, expr z) { return functions::fma(x, y, z); }
inline expr fma(half x, expr y, half z) { return functions::fma(x, y, z); }
inline expr fma(half x, expr y, expr z) { return functions::fma(x, y, z); }
inline expr fma(expr x, half y, half z) { return functions::fma(x, y, z); }
inline expr fma(expr x, half y, expr z) { return functions::fma(x, y, z); }
inline expr fma(expr x, expr y, half z) { return functions::fma(x, y, z); }
inline expr fma(expr x, expr y, expr z) { return functions::fma(x, y, z); }
/// Maximum of half expressions.
/// \param x first operand
/// \param y second operand
/// \return maximum of operands
// template<typename T,typename U> typename result<T,U>::type fmax(T x, U y) { return binary_specialized<T,U>::fmax(x, y); }
inline half fmax(half x, half y) { return binary_specialized<half,half>::fmax(x, y); }
inline expr fmax(half x, expr y) { return binary_specialized<half,expr>::fmax(x, y); }
inline expr fmax(expr x, half y) { return binary_specialized<expr,half>::fmax(x, y); }
inline expr fmax(expr x, expr y) { return binary_specialized<expr,expr>::fmax(x, y); }
/// Minimum of half expressions.
/// \param x first operand
/// \param y second operand
/// \return minimum of operands
// template<typename T,typename U> typename result<T,U>::type fmin(T x, U y) { return binary_specialized<T,U>::fmin(x, y); }
inline half fmin(half x, half y) { return binary_specialized<half,half>::fmin(x, y); }
inline expr fmin(half x, expr y) { return binary_specialized<half,expr>::fmin(x, y); }
inline expr fmin(expr x, half y) { return binary_specialized<expr,half>::fmin(x, y); }
inline expr fmin(expr x, expr y) { return binary_specialized<expr,expr>::fmin(x, y); }
/// Positive difference.
/// \param x first operand
/// \param y second operand
/// \return \a x - \a y or 0 if difference negative
// template<typename T,typename U> typename enable<expr,T,U>::type fdim(T x, U y) { return functions::fdim(x, y); }
inline expr fdim(half x, half y) { return functions::fdim(x, y); }
inline expr fdim(half x, expr y) { return functions::fdim(x, y); }
inline expr fdim(expr x, half y) { return functions::fdim(x, y); }
inline expr fdim(expr x, expr y) { return functions::fdim(x, y); }
/// Get NaN value.
/// \return quiet NaN
inline half nanh(const char*) { return functions::nanh(); }
/// \}
/// \name Exponential functions
/// \{
/// Exponential function.
/// \param arg function argument
/// \return e raised to \a arg
// template<typename T> typename enable<expr,T>::type exp(T arg) { return functions::exp(arg); }
inline expr exp(half arg) { return functions::exp(arg); }
inline expr exp(expr arg) { return functions::exp(arg); }
/// Exponential minus one.
/// \param arg function argument
/// \return e raised to \a arg subtracted by 1
// template<typename T> typename enable<expr,T>::type expm1(T arg) { return functions::expm1(arg); }
inline expr expm1(half arg) { return functions::expm1(arg); }
inline expr expm1(expr arg) { return functions::expm1(arg); }
/// Binary exponential.
/// \param arg function argument
/// \return 2 raised to \a arg
// template<typename T> typename enable<expr,T>::type exp2(T arg) { return functions::exp2(arg); }
inline expr exp2(half arg) { return functions::exp2(arg); }
inline expr exp2(expr arg) { return functions::exp2(arg); }
/// Natural logorithm.
/// \param arg function argument
/// \return logarithm of \a arg to base e
// template<typename T> typename enable<expr,T>::type log(T arg) { return functions::log(arg); }
inline expr log(half arg) { return functions::log(arg); }
inline expr log(expr arg) { return functions::log(arg); }
/// Common logorithm.
/// \param arg function argument
/// \return logarithm of \a arg to base 10
// template<typename T> typename enable<expr,T>::type log10(T arg) { return functions::log10(arg); }
inline expr log10(half arg) { return functions::log10(arg); }
inline expr log10(expr arg) { return functions::log10(arg); }
/// Natural logorithm.
/// \param arg function argument
/// \return logarithm of \a arg plus 1 to base e
// template<typename T> typename enable<expr,T>::type log1p(T arg) { return functions::log1p(arg); }
inline expr log1p(half arg) { return functions::log1p(arg); }
inline expr log1p(expr arg) { return functions::log1p(arg); }
/// Binary logorithm.
/// \param arg function argument
/// \return logarithm of \a arg to base 2
// template<typename T> typename enable<expr,T>::type log2(T arg) { return functions::log2(arg); }
inline expr log2(half arg) { return functions::log2(arg); }
inline expr log2(expr arg) { return functions::log2(arg); }
/// \}
/// \name Power functions
/// \{
/// Square root.
/// \param arg function argument
/// \return square root of \a arg
// template<typename T> typename enable<expr,T>::type sqrt(T arg) { return functions::sqrt(arg); }
inline expr sqrt(half arg) { return functions::sqrt(arg); }
inline expr sqrt(expr arg) { return functions::sqrt(arg); }
/// Cubic root.
/// \param arg function argument
/// \return cubic root of \a arg
// template<typename T> typename enable<expr,T>::type cbrt(T arg) { return functions::cbrt(arg); }
inline expr cbrt(half arg) { return functions::cbrt(arg); }
inline expr cbrt(expr arg) { return functions::cbrt(arg); }
/// Hypotenuse function.
/// \param x first argument
/// \param y second argument
/// \return square root of sum of squares without internal over- or underflows
// template<typename T,typename U> typename enable<expr,T,U>::type hypot(T x, U y) { return functions::hypot(x, y); }
inline expr hypot(half x, half y) { return functions::hypot(x, y); }
inline expr hypot(half x, expr y) { return functions::hypot(x, y); }
inline expr hypot(expr x, half y) { return functions::hypot(x, y); }
inline expr hypot(expr x, expr y) { return functions::hypot(x, y); }
/// Power function.
/// \param base first argument
/// \param exp second argument
/// \return \a base raised to \a exp
// template<typename T,typename U> typename enable<expr,T,U>::type pow(T base, U exp) { return functions::pow(base, exp); }
inline expr pow(half base, half exp) { return functions::pow(base, exp); }
inline expr pow(half base, expr exp) { return functions::pow(base, exp); }
inline expr pow(expr base, half exp) { return functions::pow(base, exp); }
inline expr pow(expr base, expr exp) { return functions::pow(base, exp); }
/// \}
/// \name Trigonometric functions
/// \{
/// Sine function.
/// \param arg function argument
/// \return sine value of \a arg
// template<typename T> typename enable<expr,T>::type sin(T arg) { return functions::sin(arg); }
inline expr sin(half arg) { return functions::sin(arg); }
inline expr sin(expr arg) { return functions::sin(arg); }
/// Cosine function.
/// \param arg function argument
/// \return cosine value of \a arg
// template<typename T> typename enable<expr,T>::type cos(T arg) { return functions::cos(arg); }
inline expr cos(half arg) { return functions::cos(arg); }
inline expr cos(expr arg) { return functions::cos(arg); }
/// Tangent function.
/// \param arg function argument
/// \return tangent value of \a arg
// template<typename T> typename enable<expr,T>::type tan(T arg) { return functions::tan(arg); }
inline expr tan(half arg) { return functions::tan(arg); }
inline expr tan(expr arg) { return functions::tan(arg); }
/// Arc sine.
/// \param arg function argument
/// \return arc sine value of \a arg
// template<typename T> typename enable<expr,T>::type asin(T arg) { return functions::asin(arg); }
inline expr asin(half arg) { return functions::asin(arg); }
inline expr asin(expr arg) { return functions::asin(arg); }
/// Arc cosine function.
/// \param arg function argument
/// \return arc cosine value of \a arg
// template<typename T> typename enable<expr,T>::type acos(T arg) { return functions::acos(arg); }
inline expr acos(half arg) { return functions::acos(arg); }
inline expr acos(expr arg) { return functions::acos(arg); }
/// Arc tangent function.
/// \param arg function argument
/// \return arc tangent value of \a arg
// template<typename T> typename enable<expr,T>::type atan(T arg) { return functions::atan(arg); }
inline expr atan(half arg) { return functions::atan(arg); }
inline expr atan(expr arg) { return functions::atan(arg); }
/// Arc tangent function.
/// \param x first argument
/// \param y second argument
/// \return arc tangent value
// template<typename T,typename U> typename enable<expr,T,U>::type atan2(T x, U y) { return functions::atan2(x, y); }
inline expr atan2(half x, half y) { return functions::atan2(x, y); }
inline expr atan2(half x, expr y) { return functions::atan2(x, y); }
inline expr atan2(expr x, half y) { return functions::atan2(x, y); }
inline expr atan2(expr x, expr y) { return functions::atan2(x, y); }
/// \}
/// \name Hyperbolic functions
/// \{
/// Hyperbolic sine.
/// \param arg function argument
/// \return hyperbolic sine value of \a arg
// template<typename T> typename enable<expr,T>::type sinh(T arg) { return functions::sinh(arg); }
inline expr sinh(half arg) { return functions::sinh(arg); }
inline expr sinh(expr arg) { return functions::sinh(arg); }
/// Hyperbolic cosine.
/// \param arg function argument
/// \return hyperbolic cosine value of \a arg
// template<typename T> typename enable<expr,T>::type cosh(T arg) { return functions::cosh(arg); }
inline expr cosh(half arg) { return functions::cosh(arg); }
inline expr cosh(expr arg) { return functions::cosh(arg); }
/// Hyperbolic tangent.
/// \param arg function argument
/// \return hyperbolic tangent value of \a arg
// template<typename T> typename enable<expr,T>::type tanh(T arg) { return functions::tanh(arg); }
inline expr tanh(half arg) { return functions::tanh(arg); }
inline expr tanh(expr arg) { return functions::tanh(arg); }
/// Hyperbolic area sine.
/// \param arg function argument
/// \return area sine value of \a arg
// template<typename T> typename enable<expr,T>::type asinh(T arg) { return functions::asinh(arg); }
inline expr asinh(half arg) { return functions::asinh(arg); }
inline expr asinh(expr arg) { return functions::asinh(arg); }
/// Hyperbolic area cosine.
/// \param arg function argument
/// \return area cosine value of \a arg
// template<typename T> typename enable<expr,T>::type acosh(T arg) { return functions::acosh(arg); }
inline expr acosh(half arg) { return functions::acosh(arg); }
inline expr acosh(expr arg) { return functions::acosh(arg); }
/// Hyperbolic area tangent.
/// \param arg function argument
/// \return area tangent value of \a arg
// template<typename T> typename enable<expr,T>::type atanh(T arg) { return functions::atanh(arg); }
inline expr atanh(half arg) { return functions::atanh(arg); }
inline expr atanh(expr arg) { return functions::atanh(arg); }
/// \}
/// \name Error and gamma functions
/// \{
/// Error function.
/// \param arg function argument
/// \return error function value of \a arg
// template<typename T> typename enable<expr,T>::type erf(T arg) { return functions::erf(arg); }
inline expr erf(half arg) { return functions::erf(arg); }
inline expr erf(expr arg) { return functions::erf(arg); }
/// Complementary error function.
/// \param arg function argument
/// \return 1 minus error function value of \a arg
// template<typename T> typename enable<expr,T>::type erfc(T arg) { return functions::erfc(arg); }
inline expr erfc(half arg) { return functions::erfc(arg); }
inline expr erfc(expr arg) { return functions::erfc(arg); }
/// Natural logarithm of gamma function.
/// \param arg function argument
/// \return natural logarith of gamma function for \a arg
// template<typename T> typename enable<expr,T>::type lgamma(T arg) { return functions::lgamma(arg); }
inline expr lgamma(half arg) { return functions::lgamma(arg); }
inline expr lgamma(expr arg) { return functions::lgamma(arg); }
/// Gamma function.
/// \param arg function argument
/// \return gamma function value of \a arg
// template<typename T> typename enable<expr,T>::type tgamma(T arg) { return functions::tgamma(arg); }
inline expr tgamma(half arg) { return functions::tgamma(arg); }
inline expr tgamma(expr arg) { return functions::tgamma(arg); }
/// \}
/// \name Rounding
/// \{
/// Nearest integer not less than half value.
/// \param arg half to round
/// \return nearest integer not less than \a arg
// template<typename T> typename enable<half,T>::type ceil(T arg) { return functions::ceil(arg); }
inline half ceil(half arg) { return functions::ceil(arg); }
inline half ceil(expr arg) { return functions::ceil(arg); }
/// Nearest integer not greater than half value.
/// \param arg half to round
/// \return nearest integer not greater than \a arg
// template<typename T> typename enable<half,T>::type floor(T arg) { return functions::floor(arg); }
inline half floor(half arg) { return functions::floor(arg); }
inline half floor(expr arg) { return functions::floor(arg); }
/// Nearest integer not greater in magnitude than half value.
/// \param arg half to round
/// \return nearest integer not greater in magnitude than \a arg
// template<typename T> typename enable<half,T>::type trunc(T arg) { return functions::trunc(arg); }
inline half trunc(half arg) { return functions::trunc(arg); }
inline half trunc(expr arg) { return functions::trunc(arg); }
/// Nearest integer.
/// \param arg half to round
/// \return nearest integer, rounded away from zero in half-way cases
// template<typename T> typename enable<half,T>::type round(T arg) { return functions::round(arg); }
inline half round(half arg) { return functions::round(arg); }
inline half round(expr arg) { return functions::round(arg); }
/// Nearest integer.
/// \param arg half to round
/// \return nearest integer, rounded away from zero in half-way cases
// template<typename T> typename enable<long,T>::type lround(T arg) { return functions::lround(arg); }
inline long lround(half arg) { return functions::lround(arg); }
inline long lround(expr arg) { return functions::lround(arg); }
/// Nearest integer using half's internal rounding mode.
/// \param arg half expression to round
/// \return nearest integer using default rounding mode
// template<typename T> typename enable<half,T>::type nearbyint(T arg) { return functions::nearbyint(arg); }
inline half nearbyint(half arg) { return functions::rint(arg); }
inline half nearbyint(expr arg) { return functions::rint(arg); }
/// Nearest integer using half's internal rounding mode.
/// \param arg half expression to round
/// \return nearest integer using default rounding mode
// template<typename T> typename enable<half,T>::type rint(T arg) { return functions::rint(arg); }
inline half rint(half arg) { return functions::rint(arg); }
inline half rint(expr arg) { return functions::rint(arg); }
/// Nearest integer using half's internal rounding mode.
/// \param arg half expression to round
/// \return nearest integer using default rounding mode
// template<typename T> typename enable<long,T>::type lrint(T arg) { return functions::lrint(arg); }
inline long lrint(half arg) { return functions::lrint(arg); }
inline long lrint(expr arg) { return functions::lrint(arg); }
#if HALF_ENABLE_CPP11_LONG_LONG
/// Nearest integer.
/// \param arg half to round
/// \return nearest integer, rounded away from zero in half-way cases
// template<typename T> typename enable<long long,T>::type llround(T arg) { return functions::llround(arg); }
inline long long llround(half arg) { return functions::llround(arg); }
inline long long llround(expr arg) { return functions::llround(arg); }
/// Nearest integer using half's internal rounding mode.
/// \param arg half expression to round
/// \return nearest integer using default rounding mode
// template<typename T> typename enable<long long,T>::type llrint(T arg) { return functions::llrint(arg); }
inline long long llrint(half arg) { return functions::llrint(arg); }
inline long long llrint(expr arg) { return functions::llrint(arg); }
#endif
/// \}
/// \name Floating point manipulation
/// \{
/// Decompress floating point number.
/// \param arg number to decompress
/// \param exp address to store exponent at
/// \return significant in range [0.5, 1)
// template<typename T> typename enable<half,T>::type frexp(T arg, int *exp) { return functions::frexp(arg, exp); }
inline half frexp(half arg, int *exp) { return functions::frexp(arg, exp); }
inline half frexp(expr arg, int *exp) { return functions::frexp(arg, exp); }
/// Multiply by power of two.
/// \param arg number to modify
/// \param exp power of two to multiply with
/// \return \a arg multplied by 2 raised to \a exp
// template<typename T> typename enable<half,T>::type ldexp(T arg, int exp) { return functions::scalbln(arg, exp); }
inline half ldexp(half arg, int exp) { return functions::scalbln(arg, exp); }
inline half ldexp(expr arg, int exp) { return functions::scalbln(arg, exp); }
/// Extract integer and fractional parts.
/// \param arg number to decompress
/// \param iptr address to store integer part at
/// \return fractional part
// template<typename T> typename enable<half,T>::type modf(T arg, half *iptr) { return functions::modf(arg, iptr); }
inline half modf(half arg, half *iptr) { return functions::modf(arg, iptr); }
inline half modf(expr arg, half *iptr) { return functions::modf(arg, iptr); }
/// Multiply by power of two.
/// \param arg number to modify
/// \param exp power of two to multiply with
/// \return \a arg multplied by 2 raised to \a exp
// template<typename T> typename enable<half,T>::type scalbn(T arg, int exp) { return functions::scalbln(arg, exp); }
inline half scalbn(half arg, int exp) { return functions::scalbln(arg, exp); }
inline half scalbn(expr arg, int exp) { return functions::scalbln(arg, exp); }
/// Multiply by power of two.
/// \param arg number to modify
/// \param exp power of two to multiply with
/// \return \a arg multplied by 2 raised to \a exp
// template<typename T> typename enable<half,T>::type scalbln(T arg, long exp) { return functions::scalbln(arg, exp); }
inline half scalbln(half arg, long exp) { return functions::scalbln(arg, exp); }
inline half scalbln(expr arg, long exp) { return functions::scalbln(arg, exp); }
/// Extract exponent.
/// \param arg number to query
/// \return floating point exponent
/// \retval FP_ILOGB0 for zero
/// \retval FP_ILOGBNAN for NaN
/// \retval MAX_INT for infinity
// template<typename T> typename enable<int,T>::type ilogb(T arg) { return functions::ilogb(arg); }
inline int ilogb(half arg) { return functions::ilogb(arg); }
inline int ilogb(expr arg) { return functions::ilogb(arg); }
/// Extract exponent.
/// \param arg number to query
/// \return floating point exponent
// template<typename T> typename enable<half,T>::type logb(T arg) { return functions::logb(arg); }
inline half logb(half arg) { return functions::logb(arg); }
inline half logb(expr arg) { return functions::logb(arg); }
/// Next representable value.
/// \param from value to compute next representable value for
/// \param to direction towards which to compute next value
/// \return next representable value after \a from in direction towards \a to
// template<typename T,typename U> typename enable<half,T,U>::type nextafter(T from, U to) { return functions::nextafter(from, to); }
inline half nextafter(half from, half to) { return functions::nextafter(from, to); }
inline half nextafter(half from, expr to) { return functions::nextafter(from, to); }
inline half nextafter(expr from, half to) { return functions::nextafter(from, to); }
inline half nextafter(expr from, expr to) { return functions::nextafter(from, to); }
/// Next representable value.
/// \param from value to compute next representable value for
/// \param to direction towards which to compute next value
/// \return next representable value after \a from in direction towards \a to
// template<typename T> typename enable<half,T>::type nexttoward(T from, long double to) { return functions::nexttoward(from, to); }
inline half nexttoward(half from, long double to) { return functions::nexttoward(from, to); }
inline half nexttoward(expr from, long double to) { return functions::nexttoward(from, to); }
/// Take sign.
/// \param x value to change sign for
/// \param y value to take sign from
/// \return value equal to \a x in magnitude and to \a y in sign
// template<typename T,typename U> typename enable<half,T,U>::type copysign(T x, U y) { return functions::copysign(x, y); }
inline half copysign(half x, half y) { return functions::copysign(x, y); }
inline half copysign(half x, expr y) { return functions::copysign(x, y); }
inline half copysign(expr x, half y) { return functions::copysign(x, y); }
inline half copysign(expr x, expr y) { return functions::copysign(x, y); }
/// \}
/// \name Floating point classification
/// \{
/// Classify floating point value.
/// \param arg number to classify
/// \retval FP_ZERO for positive and negative zero
/// \retval FP_SUBNORMAL for subnormal numbers
/// \retval FP_INFINITY for positive and negative infinity
/// \retval FP_NAN for NaNs
/// \retval FP_NORMAL for all other (normal) values
// template<typename T> typename enable<int,T>::type fpclassify(T arg) { return functions::fpclassify(arg); }
inline int fpclassify(half arg) { return functions::fpclassify(arg); }
inline int fpclassify(expr arg) { return functions::fpclassify(arg); }
/// Check if finite number.
/// \param arg number to check
/// \retval true if neither infinity nor NaN
/// \retval false else
// template<typename T> typename enable<bool,T>::type isfinite(T arg) { return functions::isfinite(arg); }
inline bool isfinite(half arg) { return functions::isfinite(arg); }
inline bool isfinite(expr arg) { return functions::isfinite(arg); }
/// Check for infinity.
/// \param arg number to check
/// \retval true for positive or negative infinity
/// \retval false else
// template<typename T> typename enable<bool,T>::type isinf(T arg) { return functions::isinf(arg); }
inline bool isinf(half arg) { return functions::isinf(arg); }
inline bool isinf(expr arg) { return functions::isinf(arg); }
/// Check for NaN.
/// \param arg number to check
/// \retval true for NaNs
/// \retval false else
// template<typename T> typename enable<bool,T>::type isnan(T arg) { return functions::isnan(arg); }
inline bool isnan(half arg) { return functions::isnan(arg); }
inline bool isnan(expr arg) { return functions::isnan(arg); }
/// Check if normal number.
/// \param arg number to check
/// \retval true if normal number
/// \retval false if either subnormal, zero, infinity or NaN
// template<typename T> typename enable<bool,T>::type isnormal(T arg) { return functions::isnormal(arg); }
inline bool isnormal(half arg) { return functions::isnormal(arg); }
inline bool isnormal(expr arg) { return functions::isnormal(arg); }
/// Check sign.
/// \param arg number to check
/// \retval true for negative number
/// \retval false for positive number
// template<typename T> typename enable<bool,T>::type signbit(T arg) { return functions::signbit(arg); }
inline bool signbit(half arg) { return functions::signbit(arg); }
inline bool signbit(expr arg) { return functions::signbit(arg); }
/// \}
/// \name Comparison
/// \{
/// Comparison for greater than.
/// \param x first operand
/// \param y second operand
/// \retval true if \a x greater than \a y
/// \retval false else
// template<typename T,typename U> typename enable<bool,T,U>::type isgreater(T x, U y) { return functions::isgreater(x, y); }
inline bool isgreater(half x, half y) { return functions::isgreater(x, y); }
inline bool isgreater(half x, expr y) { return functions::isgreater(x, y); }
inline bool isgreater(expr x, half y) { return functions::isgreater(x, y); }
inline bool isgreater(expr x, expr y) { return functions::isgreater(x, y); }
/// Comparison for greater equal.
/// \param x first operand
/// \param y second operand
/// \retval true if \a x greater equal \a y
/// \retval false else
// template<typename T,typename U> typename enable<bool,T,U>::type isgreaterequal(T x, U y) { return functions::isgreaterequal(x, y); }
inline bool isgreaterequal(half x, half y) { return functions::isgreaterequal(x, y); }
inline bool isgreaterequal(half x, expr y) { return functions::isgreaterequal(x, y); }
inline bool isgreaterequal(expr x, half y) { return functions::isgreaterequal(x, y); }
inline bool isgreaterequal(expr x, expr y) { return functions::isgreaterequal(x, y); }
/// Comparison for less than.
/// \param x first operand
/// \param y second operand
/// \retval true if \a x less than \a y
/// \retval false else
// template<typename T,typename U> typename enable<bool,T,U>::type isless(T x, U y) { return functions::isless(x, y); }
inline bool isless(half x, half y) { return functions::isless(x, y); }
inline bool isless(half x, expr y) { return functions::isless(x, y); }
inline bool isless(expr x, half y) { return functions::isless(x, y); }
inline bool isless(expr x, expr y) { return functions::isless(x, y); }
/// Comparison for less equal.
/// \param x first operand
/// \param y second operand
/// \retval true if \a x less equal \a y
/// \retval false else
// template<typename T,typename U> typename enable<bool,T,U>::type islessequal(T x, U y) { return functions::islessequal(x, y); }
inline bool islessequal(half x, half y) { return functions::islessequal(x, y); }
inline bool islessequal(half x, expr y) { return functions::islessequal(x, y); }
inline bool islessequal(expr x, half y) { return functions::islessequal(x, y); }
inline bool islessequal(expr x, expr y) { return functions::islessequal(x, y); }
/// Comarison for less or greater.
/// \param x first operand
/// \param y second operand
/// \retval true if either less or greater
/// \retval false else
// template<typename T,typename U> typename enable<bool,T,U>::type islessgreater(T x, U y) { return functions::islessgreater(x, y); }
inline bool islessgreater(half x, half y) { return functions::islessgreater(x, y); }
inline bool islessgreater(half x, expr y) { return functions::islessgreater(x, y); }
inline bool islessgreater(expr x, half y) { return functions::islessgreater(x, y); }
inline bool islessgreater(expr x, expr y) { return functions::islessgreater(x, y); }
/// Check if unordered.
/// \param x first operand
/// \param y second operand
/// \retval true if unordered (one or two NaN operands)
/// \retval false else
// template<typename T,typename U> typename enable<bool,T,U>::type isunordered(T x, U y) { return functions::isunordered(x, y); }
inline bool isunordered(half x, half y) { return functions::isunordered(x, y); }
inline bool isunordered(half x, expr y) { return functions::isunordered(x, y); }
inline bool isunordered(expr x, half y) { return functions::isunordered(x, y); }
inline bool isunordered(expr x, expr y) { return functions::isunordered(x, y); }
/// \name Casting
/// \{
/// Cast to or from half-precision floating point number.
/// This casts between [half](\ref half_float::half) and any built-in arithmetic type. The values are converted
/// directly using the given rounding mode, without any roundtrip over `float` that a `static_cast` would otherwise do.
/// It uses the default rounding mode.
///
/// Using this cast with neither of the two types being a [half](\ref half_float::half) or with any of the two types
/// not being a built-in arithmetic type (apart from [half](\ref half_float::half), of course) results in a compiler
/// error and casting between [half](\ref half_float::half)s is just a no-op.
/// \tparam T destination type (half or built-in arithmetic type)
/// \tparam U source type (half or built-in arithmetic type)
/// \param arg value to cast
/// \return \a arg converted to destination type
template<typename T,typename U> T half_cast(U arg) { return half_caster<T,U>::cast(arg); }
/// Cast to or from half-precision floating point number.
/// This casts between [half](\ref half_float::half) and any built-in arithmetic type. The values are converted
/// directly using the given rounding mode, without any roundtrip over `float` that a `static_cast` would otherwise do.
///
/// Using this cast with neither of the two types being a [half](\ref half_float::half) or with any of the two types
/// not being a built-in arithmetic type (apart from [half](\ref half_float::half), of course) results in a compiler
/// error and casting between [half](\ref half_float::half)s is just a no-op.
/// \tparam T destination type (half or built-in arithmetic type)
/// \tparam R rounding mode to use.
/// \tparam U source type (half or built-in arithmetic type)
/// \param arg value to cast
/// \return \a arg converted to destination type
template<typename T,std::float_round_style R,typename U> T half_cast(U arg) { return half_caster<T,U,R>::cast(arg); }
/// \}
}
using detail::operator==;
using detail::operator!=;
using detail::operator<;
using detail::operator>;
using detail::operator<=;
using detail::operator>=;
using detail::operator+;
using detail::operator-;
using detail::operator*;
using detail::operator/;
using detail::operator<<;
using detail::operator>>;
using detail::abs;
using detail::fabs;
using detail::fmod;
using detail::remainder;
using detail::remquo;
using detail::fma;
using detail::fmax;
using detail::fmin;
using detail::fdim;
using detail::nanh;
using detail::exp;
using detail::expm1;
using detail::exp2;
using detail::log;
using detail::log10;
using detail::log1p;
using detail::log2;
using detail::sqrt;
using detail::cbrt;
using detail::hypot;
using detail::pow;
using detail::sin;
using detail::cos;
using detail::tan;
using detail::asin;
using detail::acos;
using detail::atan;
using detail::atan2;
using detail::sinh;
using detail::cosh;
using detail::tanh;
using detail::asinh;
using detail::acosh;
using detail::atanh;
using detail::erf;
using detail::erfc;
using detail::lgamma;
using detail::tgamma;
using detail::ceil;
using detail::floor;
using detail::trunc;
using detail::round;
using detail::lround;
using detail::nearbyint;
using detail::rint;
using detail::lrint;
#if HALF_ENABLE_CPP11_LONG_LONG
using detail::llround;
using detail::llrint;
#endif
using detail::frexp;
using detail::ldexp;
using detail::modf;
using detail::scalbn;
using detail::scalbln;
using detail::ilogb;
using detail::logb;
using detail::nextafter;
using detail::nexttoward;
using detail::copysign;
using detail::fpclassify;
using detail::isfinite;
using detail::isinf;
using detail::isnan;
using detail::isnormal;
using detail::signbit;
using detail::isgreater;
using detail::isgreaterequal;
using detail::isless;
using detail::islessequal;
using detail::islessgreater;
using detail::isunordered;
using detail::half_cast;
}
/// Extensions to the C++ standard library.
namespace std
{
/// Numeric limits for half-precision floats.
/// Because of the underlying single-precision implementation of many operations, it inherits some properties from
/// `std::numeric_limits<float>`.
template<> class numeric_limits<half_float::half> : public numeric_limits<float>
{
public:
/// Supports signed values.
static HALF_CONSTEXPR_CONST bool is_signed = true;
/// Is not exact.
static HALF_CONSTEXPR_CONST bool is_exact = false;
/// Doesn't provide modulo arithmetic.
static HALF_CONSTEXPR_CONST bool is_modulo = false;
/// IEEE conformant.
static HALF_CONSTEXPR_CONST bool is_iec559 = true;
/// Supports infinity.
static HALF_CONSTEXPR_CONST bool has_infinity = true;
/// Supports quiet NaNs.
static HALF_CONSTEXPR_CONST bool has_quiet_NaN = true;
/// Supports subnormal values.
static HALF_CONSTEXPR_CONST float_denorm_style has_denorm = denorm_present;
/// Rounding mode.
/// Due to the mix of internal single-precision computations (using the rounding mode of the underlying
/// single-precision implementation) with the rounding mode of the single-to-half conversions, the actual rounding
/// mode might be `std::round_indeterminate` if the default half-precision rounding mode doesn't match the
/// single-precision rounding mode.
static HALF_CONSTEXPR_CONST float_round_style round_style = (std::numeric_limits<float>::round_style==
half_float::half::round_style) ? half_float::half::round_style : round_indeterminate;
/// Significant digits.
static HALF_CONSTEXPR_CONST int digits = 11;
/// Significant decimal digits.
static HALF_CONSTEXPR_CONST int digits10 = 3;
/// Required decimal digits to represent all possible values.
static HALF_CONSTEXPR_CONST int max_digits10 = 5;
/// Number base.
static HALF_CONSTEXPR_CONST int radix = 2;
/// One more than smallest exponent.
static HALF_CONSTEXPR_CONST int min_exponent = -13;
/// Smallest normalized representable power of 10.
static HALF_CONSTEXPR_CONST int min_exponent10 = -4;
/// One more than largest exponent
static HALF_CONSTEXPR_CONST int max_exponent = 16;
/// Largest finitely representable power of 10.
static HALF_CONSTEXPR_CONST int max_exponent10 = 4;
/// Smallest positive normal value.
static HALF_CONSTEXPR half_float::half min() HALF_NOTHROW { return half_float::half(half_float::detail::binary, 0x0400); }
/// Smallest finite value.
static HALF_CONSTEXPR half_float::half lowest() HALF_NOTHROW { return half_float::half(half_float::detail::binary, 0xFBFF); }
/// Largest finite value.
static HALF_CONSTEXPR half_float::half max() HALF_NOTHROW { return half_float::half(half_float::detail::binary, 0x7BFF); }
/// Difference between one and next representable value.
static HALF_CONSTEXPR half_float::half epsilon() HALF_NOTHROW { return half_float::half(half_float::detail::binary, 0x1400); }
/// Maximum rounding error.
static HALF_CONSTEXPR half_float::half round_error() HALF_NOTHROW
{ return half_float::half(half_float::detail::binary, (round_style==std::round_to_nearest) ? 0x3800 : 0x3C00); }
/// Positive infinity.
static HALF_CONSTEXPR half_float::half infinity() HALF_NOTHROW { return half_float::half(half_float::detail::binary, 0x7C00); }
/// Quiet NaN.
static HALF_CONSTEXPR half_float::half quiet_NaN() HALF_NOTHROW { return half_float::half(half_float::detail::binary, 0x7FFF); }
/// Signalling NaN.
static HALF_CONSTEXPR half_float::half signaling_NaN() HALF_NOTHROW { return half_float::half(half_float::detail::binary, 0x7DFF); }
/// Smallest positive subnormal value.
static HALF_CONSTEXPR half_float::half denorm_min() HALF_NOTHROW { return half_float::half(half_float::detail::binary, 0x0001); }
};
#if HALF_ENABLE_CPP11_HASH
/// Hash function for half-precision floats.
/// This is only defined if C++11 `std::hash` is supported and enabled.
template<> struct hash<half_float::half> //: unary_function<half_float::half,size_t>
{
/// Type of function argument.
typedef half_float::half argument_type;
/// Function return type.
typedef size_t result_type;
/// Compute hash function.
/// \param arg half to hash
/// \return hash value
result_type operator()(argument_type arg) const
{ return hash<half_float::detail::uint16>()(static_cast<unsigned>(arg.data_)&-(arg.data_!=0x8000)); }
};
#endif
}
#undef HALF_CONSTEXPR
#undef HALF_CONSTEXPR_CONST
#undef HALF_NOEXCEPT
#undef HALF_NOTHROW
#ifdef HALF_POP_WARNINGS
#pragma warning(pop)
#undef HALF_POP_WARNINGS
#endif
#endif
mace/core/net.cc
浏览文件 @ 3b55f153
......@@ -51,6 +51,9 @@ bool SimpleNet::Run(RunMetadata *run_metadata) {
return false;
}
if (op_stats) {
if (device_type_ == DeviceType::OPENCL) {
OpenCLRuntime::Get()->command_queue().finish();
}
op_stats->set_op_end_rel_micros(NowInMicroSec() -
op_stats->all_start_micros());
op_stats->set_all_end_rel_micros(NowInMicroSec() -
......
mace/core/opencl_allocator.cc
浏览文件 @ 3b55f153
......@@ -8,6 +8,29 @@
namespace mace {
namespace {
static cl_channel_type DataTypeToCLChannelType(const DataType t) {
switch (t) {
case DT_HALF:
case DT_FLOAT:
return CL_FLOAT;
case DT_INT8:
case DT_INT16:
case DT_INT32:
return CL_SIGNED_INT32;
case DT_UINT8:
case DT_UINT16:
case DT_UINT32:
return CL_UNSIGNED_INT32;
default:
LOG(FATAL) << "Image doesn't support the data type: " << t;
return 0;
}
}
}
OpenCLAllocator::OpenCLAllocator() {}
OpenCLAllocator::~OpenCLAllocator() {}
......@@ -21,6 +44,23 @@ void *OpenCLAllocator::New(size_t nbytes) {
return static_cast<void *>(buffer);
}
void *OpenCLAllocator::NewImage(const std::vector<size_t> &image_shape,
const DataType dt) {
MACE_CHECK(image_shape.size() == 2) << "Image shape's size must equal 2";
cl::ImageFormat img_format(CL_RGBA, DataTypeToCLChannelType(dt));
cl_int error;
cl::Image2D *cl_image =
new cl::Image2D(OpenCLRuntime::Get()->context(),
CL_MEM_READ_WRITE | CL_MEM_ALLOC_HOST_PTR ,
img_format,
image_shape[0], image_shape[1],
0, nullptr, &error);
return cl_image;
}
void OpenCLAllocator::Delete(void *buffer) {
if (buffer != nullptr) {
cl::Buffer *cl_buffer = static_cast<cl::Buffer *>(buffer);
......@@ -28,6 +68,13 @@ void OpenCLAllocator::Delete(void *buffer) {
}
}
void OpenCLAllocator::DeleteImage(void *buffer) {
if (buffer != nullptr) {
cl::Image3D *cl_image = static_cast<cl::Image3D *>(buffer);
delete cl_image;
}
}
void *OpenCLAllocator::Map(void *buffer, size_t nbytes) {
auto cl_buffer = static_cast<cl::Buffer *>(buffer);
auto queue = OpenCLRuntime::Get()->command_queue();
......@@ -40,6 +87,29 @@ void *OpenCLAllocator::Map(void *buffer, size_t nbytes) {
return mapped_ptr;
}
// TODO : there is something wrong with half type.
void *OpenCLAllocator::MapImage(void *buffer,
const std::vector<size_t> &image_shape,
std::vector<size_t> &mapped_image_pitch) {
MACE_CHECK(image_shape.size() == 2) << "Just support map 2d image";
auto cl_image = static_cast<cl::Image2D *>(buffer);
std::array<size_t, 3> origin = {0, 0, 0};
std::array<size_t, 3> region = {image_shape[0], image_shape[1], 1};
mapped_image_pitch.resize(2);
cl_int error;
void *mapped_ptr =
OpenCLRuntime::Get()->command_queue().enqueueMapImage(*cl_image,
CL_TRUE, CL_MAP_READ | CL_MAP_WRITE,
origin, region,
&mapped_image_pitch[0],
&mapped_image_pitch[1],
nullptr, nullptr, &error);
MACE_CHECK(error == CL_SUCCESS) << error;
return mapped_ptr;
}
void OpenCLAllocator::Unmap(void *buffer, void *mapped_ptr) {
auto cl_buffer = static_cast<cl::Buffer *>(buffer);
auto queue = OpenCLRuntime::Get()->command_queue();
......
mace/core/opencl_allocator.h
浏览文件 @ 3b55f153
......@@ -17,10 +17,25 @@ class OpenCLAllocator : public Allocator {
void *New(size_t nbytes) override;
/*
* Only support shape.size() > 1 and collapse first n-2 dimensions to depth.
* Use Image3D with RGBA (128-bit) format to represent the image.
*
* @ shape : [depth, ..., height, width ].
*/
void *NewImage(const std::vector<size_t> &image_shape,
const DataType dt) override;
void Delete(void *buffer) override;
void DeleteImage(void *buffer) override;
void *Map(void *buffer, size_t nbytes) override;
void *MapImage(void *buffer,
const std::vector<size_t> &image_shape,
std::vector<size_t> &mapped_image_pitch) override;
void Unmap(void *buffer, void *mapped_ptr) override;
bool OnHost() override;
......
mace/core/runtime/opencl/opencl_runtime.cc
浏览文件 @ 3b55f153
......@@ -120,6 +120,7 @@ const std::map<std::string, std::string>
{"relu", "relu.cl"},
{"resize_bilinear", "resize_bilinear.cl"},
{"space_to_batch", "space_to_batch.cl"},
{"buffer_to_image", "buffer_to_image.cl"},
};
void OpenCLRuntime::BuildProgram(const std::string &program_file_name,
......
mace/core/runtime/opencl/opencl_wrapper.cc
浏览文件 @ 3b55f153
......@@ -101,6 +101,18 @@ class OpenCLLibraryImpl final {
const cl_event *,
cl_event *,
cl_int *);
using clEnqueueMapImageFunc = void *(*)(cl_command_queue,
cl_mem,
cl_bool,
cl_map_flags,
const size_t *,
const size_t *,
size_t *,
size_t *,
cl_uint,
const cl_event *,
cl_event *,
cl_int *);
using clCreateCommandQueueWithPropertiesFunc =
cl_command_queue (*)(cl_context /* context */,
cl_device_id /* device */,
......@@ -148,6 +160,11 @@ class OpenCLLibraryImpl final {
size_t,
void *,
size_t *);
using clGetImageInfoFunc = cl_int (*)(cl_mem,
cl_image_info,
size_t,
void *,
size_t *);
#define DEFINE_FUNC_PTR(func) func##Func func = nullptr
......@@ -172,6 +189,7 @@ class OpenCLLibraryImpl final {
DEFINE_FUNC_PTR(clCreateCommandQueueWithProperties);
DEFINE_FUNC_PTR(clReleaseCommandQueue);
DEFINE_FUNC_PTR(clEnqueueMapBuffer);
DEFINE_FUNC_PTR(clEnqueueMapImage);
DEFINE_FUNC_PTR(clRetainProgram);
DEFINE_FUNC_PTR(clGetProgramBuildInfo);
DEFINE_FUNC_PTR(clEnqueueReadBuffer);
......@@ -191,6 +209,7 @@ class OpenCLLibraryImpl final {
DEFINE_FUNC_PTR(clReleaseDevice);
DEFINE_FUNC_PTR(clRetainEvent);
DEFINE_FUNC_PTR(clGetKernelWorkGroupInfo);
DEFINE_FUNC_PTR(clGetImageInfo);
#undef DEFINE_FUNC_PTR
......@@ -294,6 +313,7 @@ void *OpenCLLibraryImpl::LoadFromPath(const std::string &path) {
ASSIGN_FROM_DLSYM(clCreateCommandQueueWithProperties);
ASSIGN_FROM_DLSYM(clReleaseCommandQueue);
ASSIGN_FROM_DLSYM(clEnqueueMapBuffer);
ASSIGN_FROM_DLSYM(clEnqueueMapImage);
ASSIGN_FROM_DLSYM(clRetainProgram);
ASSIGN_FROM_DLSYM(clGetProgramBuildInfo);
ASSIGN_FROM_DLSYM(clEnqueueReadBuffer);
......@@ -313,6 +333,7 @@ void *OpenCLLibraryImpl::LoadFromPath(const std::string &path) {
ASSIGN_FROM_DLSYM(clReleaseDevice);
ASSIGN_FROM_DLSYM(clRetainEvent);
ASSIGN_FROM_DLSYM(clGetKernelWorkGroupInfo);
ASSIGN_FROM_DLSYM(clGetImageInfo);
#undef ASSIGN_FROM_DLSYM
......@@ -577,6 +598,31 @@ void *clEnqueueMapBuffer(cl_command_queue command_queue,
return nullptr;
}
}
void *clEnqueueMapImage(cl_command_queue command_queue,
cl_mem image,
cl_bool blocking_map,
cl_map_flags map_flags,
const size_t origin[3],
const size_t region[3],
size_t *image_row_pitch,
size_t *image_slice_pitch,
cl_uint num_events_in_wait_list,
const cl_event *event_wait_list,
cl_event *event,
cl_int *errcode_ret) {
auto func = mace::OpenCLLibraryImpl::Get().clEnqueueMapImage;
if (func != nullptr) {
return func(command_queue, image, blocking_map, map_flags, origin, region,
image_row_pitch, image_slice_pitch,
num_events_in_wait_list, event_wait_list, event, errcode_ret);
} else {
if (errcode_ret != nullptr) {
*errcode_ret = CL_OUT_OF_RESOURCES;
}
return nullptr;
}
}
cl_command_queue clCreateCommandQueueWithProperties(
cl_context context,
cl_device_id device,
......@@ -832,3 +878,17 @@ cl_int clGetKernelWorkGroupInfo(cl_kernel kernel,
return CL_OUT_OF_RESOURCES;
}
}
cl_int clGetImageInfo(cl_mem image,
cl_image_info param_name,
size_t param_value_size,
void *param_value,
size_t *param_value_size_ret) {
auto func = mace::OpenCLLibraryImpl::Get().clGetImageInfo;
if (func != nullptr) {
return func(image, param_name, param_value_size, param_value,
param_value_size_ret);
} else {
return CL_OUT_OF_RESOURCES;
}
}
mace/core/tensor.h
浏览文件 @ 3b55f153
......@@ -23,6 +23,7 @@ namespace mace {
#define CASES_WITH_DEFAULT(TYPE_ENUM, STMTS, INVALID, DEFAULT) \
switch (TYPE_ENUM) { \
CASE(half, SINGLE_ARG(STMTS)) \
CASE(float, SINGLE_ARG(STMTS)) \
CASE(double, SINGLE_ARG(STMTS)) \
CASE(int32_t, SINGLE_ARG(STMTS)) \
......@@ -68,20 +69,26 @@ class Tensor {
size_(0),
dtype_(DT_FLOAT),
buffer_(nullptr),
data_(nullptr){};
data_(nullptr),
is_image_(false){};
Tensor(Allocator *alloc, DataType type)
: alloc_(alloc),
size_(0),
dtype_(type),
buffer_(nullptr),
data_(nullptr){};
data_(nullptr),
is_image_(false){};
~Tensor() {
MACE_CHECK(data_ == nullptr, "Buffer must be unmapped before destroy");
if (buffer_ != nullptr) {
MACE_CHECK_NOTNULL(alloc_);
alloc_->Delete(buffer_);
if (is_image_) {
alloc_->DeleteImage(buffer_);
} else {
alloc_->Delete(buffer_);
}
}
}
......@@ -91,6 +98,10 @@ class Tensor {
inline const vector<index_t> &shape() const { return shape_; }
inline const vector<size_t> &image_shape() const { return image_shape_; }
inline const bool is_image() const { return is_image_; }
inline index_t dim_size() const { return shape_.size(); }
inline index_t dim(unsigned int index) const {
......@@ -120,6 +131,11 @@ class Tensor {
}
}
inline void MapImage(std::vector<size_t> &mapped_image_pitch) const {
MACE_CHECK(!OnHost() && buffer_ != nullptr && data_ == nullptr);
data_ = alloc_->MapImage(buffer_, image_shape_, mapped_image_pitch);
}
/*
* Unmap the device buffer
*/
......@@ -162,17 +178,53 @@ class Tensor {
inline void Resize(const vector<index_t> &shape) {
shape_ = shape;
index_t size = NumElements();
if (size_ != size) {
if (size_ != size || is_image_) {
size_ = size;
MACE_CHECK(data_ == nullptr, "Buffer must be unmapped before resize");
alloc_->Delete(buffer_);
if (is_image_) {
alloc_->DeleteImage(buffer_);
} else {
alloc_->Delete(buffer_);
}
is_image_ = false;
CASES(dtype_, buffer_ = alloc_->New(size_ * sizeof(T)));
}
}
inline void ResizeLike(const Tensor &other) { Resize(other.shape()); }
inline void ResizeImage(const vector<index_t> &shape,
const std::vector<size_t> &image_shape) {
shape_ = shape;
index_t size = NumElements();
if (size_ != size || !is_image_) {
size_ = size;
MACE_CHECK(data_ == nullptr, "Buffer must be unmapped before resize");
if (is_image_) {
alloc_->DeleteImage(buffer_);
} else {
alloc_->Delete(buffer_);
}
is_image_ = true;
image_shape_ = image_shape;
buffer_ = alloc_->NewImage(image_shape, dtype_);
}
}
inline void ResizeLike(const Tensor &other) {
if (other.is_image()) {
ResizeImage(other.shape(), other.image_shape());
} else {
Resize(other.shape());
}
}
inline void ResizeLike(const Tensor *other) { Resize(other->shape()); }
inline void ResizeLike(const Tensor *other) {
if (other->is_image()) {
ResizeImage(other->shape(), other->image_shape());
} else {
Resize(other->shape());
}
}
template <typename T>
inline void Copy(const T *src, index_t size) {
......@@ -202,8 +254,6 @@ class Tensor {
for (int i : shape_) {
os << i << ", ";
}
LOG(INFO) << "Tensor shape: " << os.str()
<< " type: " << DataType_Name(dtype_);
os.str("");
os.clear();
......@@ -212,7 +262,7 @@ class Tensor {
if ( i != 0 && i % shape_[3] == 0) {
os << "\n";
}
CASES(dtype_, (os << this->data<T>()[i]) << ", ");
CASES(dtype_, (os << (this->data<T>()[i]) << ", "));
}
LOG(INFO) << os.str();
}
......@@ -228,20 +278,33 @@ class Tensor {
dtype_ = other.dtype_;
ResizeLike(other);
MappingGuard map_other(&other);
CopyBytes(other.raw_data(), size_ * SizeOfType());
if (is_image_) {
LOG(FATAL) << "Not support copy image tensor, please use Copy API.";
} else {
CopyBytes(other.raw_data(), size_ * SizeOfType());
}
}
class MappingGuard {
public:
MappingGuard(const Tensor *tensor) : tensor_(tensor) {
if (tensor_ != nullptr) tensor_->Map();
if (tensor_ != nullptr) {
if (tensor_->is_image()) {
tensor_->MapImage(mapped_image_pitch_);
} else {
tensor_->Map();
}
}
}
~MappingGuard() {
if (tensor_ != nullptr) tensor_->Unmap();
}
inline const vector<size_t> &mapped_image_pitch() const { return mapped_image_pitch_; }
private:
const Tensor *tensor_;
std::vector<size_t> mapped_image_pitch_;
};
private:
......@@ -261,6 +324,9 @@ class Tensor {
// Mapped buffer
mutable void *data_;
vector<index_t> shape_;
// Image for opencl
bool is_image_;
std::vector<size_t> image_shape_;
DISABLE_COPY_AND_ASSIGN(Tensor);
};
......
mace/core/types.cc
浏览文件 @ 3b55f153
......@@ -24,31 +24,32 @@ bool DataTypeCanUseMemcpy(DataType dt) {
}
}
std::string DataTypeToCLType(const DataType dt) {
size_t GetEnumTypeSize(const DataType dt) {
switch (dt) {
case DT_FLOAT:
return "float";
return sizeof(float);
case DT_HALF:
return "half";
return sizeof(half);
case DT_UINT8:
return "uchar";
return sizeof(uint8_t);
case DT_INT8:
return "char";
return sizeof(int8_t);
case DT_DOUBLE:
return "double";
return sizeof(double);
case DT_INT32:
return "int";
return sizeof(int32_t);
case DT_UINT32:
return "int";
return sizeof(uint32_t);
case DT_UINT16:
return "ushort";
return sizeof(uint16_t);
case DT_INT16:
return "short";
return sizeof(int16_t);
case DT_INT64:
return "long";
return sizeof(int64_t);
default:
LOG(FATAL) << "Unsupported data type";
return "";
return 0;
}
}
......
mace/core/types.h
浏览文件 @ 3b55f153
......@@ -7,12 +7,16 @@
#include "mace/core/common.h"
#include "mace/proto/mace.pb.h"
#include "mace/core/half.h"
namespace mace {
using half = half_float::half;
bool DataTypeCanUseMemcpy(DataType dt);
std::string DataTypeToCLType(const DataType dt);
size_t GetEnumTypeSize(const DataType dt);
template <class T>
struct IsValidDataType;
......@@ -43,6 +47,7 @@ struct EnumToDataType {}; // Specializations below
typedef TYPE Type; \
}
MATCH_TYPE_AND_ENUM(half, DT_HALF);
MATCH_TYPE_AND_ENUM(float, DT_FLOAT);
MATCH_TYPE_AND_ENUM(double, DT_DOUBLE);
MATCH_TYPE_AND_ENUM(int32_t, DT_INT32);
......
mace/kernels/buffer_to_image.h 0 → 100644
浏览文件 @ 3b55f153
//
// Copyright (c) 2017 XiaoMi All rights reserved.
//
#ifndef MACE_KERNELS_BATCH_NORM_H_
#define MACE_KERNELS_BATCH_NORM_H_
#include "mace/core/tensor.h"
#include "mace/kernels/opencl/helper.h"
namespace mace {
namespace kernels {
struct BufferToImageFunctorBase {
BufferToImageFunctorBase(bool i2b) : i2b_(i2b) {}
bool i2b_;
};
template<DeviceType D, typename T>
struct BufferToImageFunctor : BufferToImageFunctorBase{
BufferToImageFunctor(bool i2b = false) :
BufferToImageFunctorBase(i2b) {}
void operator()(Tensor *input,
const BufferType type,
Tensor *output) {
MACE_NOT_IMPLEMENTED;
}
bool i2b_;
};
template<typename T>
struct BufferToImageFunctor<DeviceType::OPENCL, T> : BufferToImageFunctorBase{
BufferToImageFunctor(bool i2b = false) :
BufferToImageFunctorBase(i2b) {}
void operator()(Tensor *input,
const BufferType type,
Tensor *output);
};
} // namepsace kernels
} // namespace mace
#endif // MACE_KERNELS_BATCH_NORM_H_
mace/kernels/conv_2d.h
浏览文件 @ 3b55f153
......@@ -15,9 +15,9 @@ template <DeviceType D, typename T>
struct Conv2dFunctor {
Conv2dFunctor() {}
Conv2dFunctor(const int *strides,
const std::vector<int> &paddings,
const Padding &paddings,
const int *dilations)
: strides_(strides), paddings_(paddings), dilations_(dilations) {}
: strides_(strides), dilations_(dilations), paddings_(paddings) {}
void operator()(const Tensor *input,
const Tensor *filter,
......@@ -27,6 +27,13 @@ struct Conv2dFunctor {
MACE_CHECK_NOTNULL(filter);
MACE_CHECK_NOTNULL(output);
std::vector<index_t> output_shape(4);
std::vector<int> paddings(2);
kernels::CalcPaddingAndOutputSize(
input->shape().data(), filter->shape().data(), dilations_,
strides_, paddings_, output_shape.data(), paddings.data());
output->Resize(output_shape);
index_t batch = output->dim(0);
index_t channels = output->dim(1);
index_t height = output->dim(2);
......@@ -49,10 +56,10 @@ struct Conv2dFunctor {
MACE_CHECK(batch == input_batch, "Input/Output batch size mismatch");
// The left-upper most offset of the padded input
int padded_h_start = 0 - paddings_[0] / 2;
int padded_w_start = 0 - paddings_[1] / 2;
index_t padded_h_stop = input_height + paddings_[0] - paddings_[0] / 2;
index_t padded_w_stop = input_width + paddings_[1] - paddings_[1] / 2;
int padded_h_start = 0 - paddings[0] / 2;
int padded_w_start = 0 - paddings[1] / 2;
index_t padded_h_stop = input_height + paddings[0] - paddings[0] / 2;
index_t padded_w_stop = input_width + paddings[1] - paddings[1] / 2;
index_t kernel_size = input_channels * kernel_h * kernel_w;
......@@ -108,8 +115,8 @@ struct Conv2dFunctor {
}
const int *strides_; // [stride_h, stride_w]
std::vector<int> paddings_; // [padding_h, padding_w]
const int *dilations_; // [dilation_h, dilation_w]
Padding paddings_;
};
template <>
......
mace/kernels/neon/conv_2d_neon.cc
浏览文件 @ 3b55f153
......@@ -49,6 +49,14 @@ void Conv2dFunctor<DeviceType::NEON, float>::operator()(const Tensor *input,
MACE_CHECK_NOTNULL(filter);
MACE_CHECK_NOTNULL(output);
std::vector<index_t> output_shape_vec(4);
std::vector<int> paddings(2);
kernels::CalcPaddingAndOutputSize(
input->shape().data(), filter->shape().data(), dilations_,
strides_, paddings_, output_shape_vec.data(), paddings.data());
output->Resize(output_shape_vec);
typedef void (*Conv2dNeonFunction)(
const float *input, const index_t *input_shape, const float *filter,
const index_t *filter_shape, const float *bias, float *output,
......@@ -77,8 +85,8 @@ void Conv2dFunctor<DeviceType::NEON, float>::operator()(const Tensor *input,
Tensor padded_input;
// Keep this alive during kernel execution
if (paddings_[0] > 0 || paddings_[1] > 0) {
ConstructInputWithPadding(input, paddings_.data(), &padded_input);
if (paddings[0] > 0 || paddings[1] > 0) {
ConstructInputWithPadding(input, paddings.data(), &padded_input);
input = &padded_input;
}
Tensor::MappingGuard input_mapper(input);
......
mace/kernels/opencl/addn.cc
浏览文件 @ 3b55f153
......@@ -4,6 +4,7 @@
#include "mace/kernels/addn.h"
#include "mace/core/runtime/opencl/opencl_runtime.h"
#include "mace/kernels/opencl/helper.h"
namespace mace {
namespace kernels {
......
mace/kernels/opencl/batch_norm_opencl.cc
浏览文件 @ 3b55f153
......@@ -6,6 +6,7 @@
#include "mace/core/runtime/opencl/cl2_header.h"
#include "mace/core/runtime/opencl/opencl_runtime.h"
#include "mace/utils/tuner.h"
#include "mace/kernels/opencl/helper.h"
namespace mace {
namespace kernels {
......
mace/kernels/opencl/buffer_to_image.cc 0 → 100644
浏览文件 @ 3b55f153
//
// Copyright (c) 2017 XiaoMi All rights reserved.
//
#include "mace/kernels/buffer_to_image.h"
#include "mace/core/runtime/opencl/cl2_header.h"
#include "mace/core/runtime/opencl/opencl_runtime.h"
namespace mace {
namespace kernels {
template<typename T>
void BufferToImageFunctor<DeviceType::OPENCL, T>::operator()(Tensor *buffer,
const BufferType type,
Tensor *image) {
MACE_CHECK(!buffer->is_image()) << "buffer must be buffer-type";
std::vector<size_t> image_shape;
if (!i2b_) {
CalImage2DShape(buffer->shape(), type, image_shape);
image->ResizeImage(buffer->shape(), image_shape);
} else {
image_shape = image->image_shape();
buffer->Resize(image->shape());
}
std::set<std::string> built_options;
built_options.emplace("-DDATA_TYPE=" + DataTypeToCLType(image->dtype()));
built_options.emplace("-DCMD_DATA_TYPE=" + DataTypeToOpenclCMDDataType(image->dtype()));
auto runtime = OpenCLRuntime::Get();
string kernel_name;
switch (type) {
case FILTER:
kernel_name = i2b_ ? "filter_image_to_buffer" : "filter_buffer_to_image";
break;
case IN_OUT:
kernel_name = i2b_ ? "in_out_image_to_buffer" : "in_out_buffer_to_image";
break;
case ARGUMENT:
kernel_name = i2b_ ? "arg_image_to_buffer" : "arg_buffer_to_image";
break;
}
VLOG(0) << kernel_name;
auto b2f_kernel = runtime->BuildKernel("buffer_to_image",
kernel_name,
built_options);
uint32_t idx = 0;
b2f_kernel.setArg(idx++, *(static_cast<const cl::Image3D *>(buffer->buffer())));
if (type == ARGUMENT) {
b2f_kernel.setArg(idx++, static_cast<uint32_t>(buffer->dim(0)));
} else {
b2f_kernel.setArg(idx++, static_cast<uint32_t>(buffer->dim(1)));
b2f_kernel.setArg(idx++, static_cast<uint32_t>(buffer->dim(2)));
b2f_kernel.setArg(idx++, static_cast<uint32_t>(buffer->dim(3)));
}
b2f_kernel.setArg(idx++, *(static_cast<cl::Image3D *>(image->buffer())));
const size_t gws[3] = {image_shape[0],
image_shape[1],
1};
const uint32_t kwg_size = runtime->GetKernelMaxWorkGroupSize(b2f_kernel);
const std::vector<uint32_t> lws = {kwg_size, 1, 1};
cl_int error = runtime->command_queue().enqueueNDRangeKernel(
b2f_kernel, cl::NullRange,
cl::NDRange(gws[0], gws[1], gws[2]),
cl::NDRange(lws[0], lws[1], lws[2]));
MACE_CHECK(error == CL_SUCCESS) << "Error code: " << error;
}
template struct BufferToImageFunctor<DeviceType::OPENCL, float>;
template struct BufferToImageFunctor<DeviceType::OPENCL, half>;
} // namespace kernels
} // namespace mace
mace/kernels/opencl/cl/buffer_to_image.cl 0 → 100644
浏览文件 @ 3b55f153
#include <common.h>
__kernel void filter_buffer_to_image(__global const DATA_TYPE *input, /* h, w, ic, oc */
__private const int filter_w,
__private const int in_channel,
__private const int out_channel,
__write_only image2d_t output) {
int w = get_global_id(0);
int h = get_global_id(1);
const int out_channel_idx = h * 4;
const int hw_idx = w / in_channel;
int in_channel_idx = w % in_channel;
const int h_idx = hw_idx / filter_w;
const int w_idx = hw_idx % filter_w;
const int offset = ((h_idx * filter_w + w_idx) * in_channel + in_channel_idx) * out_channel
+ out_channel_idx;
VEC_DATA_TYPE(DATA_TYPE, 4) values = vload4(0, input + offset);
int2 coord = (int2)(w, h);
CMD_TYPE(write_image, CMD_DATA_TYPE)(output, coord, values);
}
__kernel void filter_image_to_buffer(__global DATA_TYPE *output, /* h, w, ic, oc */
__private const int filter_w,
__private const int in_channel,
__private const int out_channel,
__read_only image2d_t input) {
int w = get_global_id(0);
int h = get_global_id(1);
const int out_channel_idx = h * 4;
const int hw_idx = w / in_channel;
int in_channel_idx = w % in_channel;
const int h_idx = hw_idx / filter_w;
const int w_idx = hw_idx % filter_w;
const int offset = ((h_idx * filter_w + w_idx) * in_channel + in_channel_idx) * out_channel
+ out_channel_idx;
const sampler_t sampler = CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST;
int2 coord = (int2)(w, h);
VEC_DATA_TYPE(DATA_TYPE, 4) values = CMD_TYPE(read_image, CMD_DATA_TYPE)(input, sampler, coord);
if (out_channel_idx + 4 > out_channel) {
const int diff = in_channel - in_channel_idx;
output[offset] = values.s0;
if (diff == 2) {
output[offset+1] = values.s1;
} else {
output[offset+1] = values.s1;
output[offset+2] = values.s2;
}
} else {
vstore4(values, 0, output + offset);
}
}
__kernel void in_out_buffer_to_image(__global const DATA_TYPE *input, /* nhwc */
__private const int height,
__private const int width,
__private const int channels,
__write_only image2d_t output) {
int w = get_global_id(0);
int h = get_global_id(1);
const int batch_idx = h / height;
const int height_idx = h % height;
const int width_idx = w % width;
const int channel_idx = w / width * 4;
const int offset = ((batch_idx * height + height_idx) * width + width_idx) * channels
+ channel_idx;
VEC_DATA_TYPE(DATA_TYPE, 4) values = vload4(0, input + offset);
int2 coord = (int2)(w, h);
CMD_TYPE(write_image, CMD_DATA_TYPE)(output, coord, values);
}
__kernel void in_out_image_to_buffer(__global DATA_TYPE *output, /* nhwc */
__private const int height,
__private const int width,
__private const int channels,
__read_only image2d_t input) {
int w = get_global_id(0);
int h = get_global_id(1);
const int batch_idx = h / height;
const int height_idx = h % height;
const int width_idx = w % width;
const int channel_idx = w / width * 4;
const int offset = ((batch_idx * height + height_idx) * width + width_idx) * channels
+ channel_idx;
const sampler_t sampler = CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST;
int2 coord = (int2)(w, h);
VEC_DATA_TYPE(DATA_TYPE, 4) values = CMD_TYPE(read_image, CMD_DATA_TYPE)(input, sampler, coord);
if (channel_idx + 4 > channels) {
const int diff = channels - channel_idx;
output[offset] = values.s0;
if (diff == 2) {
output[offset+1] = values.s1;
} else {
output[offset+1] = values.s1;
output[offset+2] = values.s2;
}
} else {
vstore4(values, 0, output + offset);
}
}
__kernel void arg_buffer_to_image(__global const DATA_TYPE *input, /* nhwc */
__private const int count,
__write_only image2d_t output) {
int w = get_global_id(0);
int h = get_global_id(1);
const int offset = w * 4;
VEC_DATA_TYPE(DATA_TYPE, 4) values = vload4(0, input + offset);
int2 coord = (int2)(w, h);
CMD_TYPE(write_image, CMD_DATA_TYPE)(output, coord, values);
}
__kernel void arg_image_to_buffer(__global DATA_TYPE *output, /* nhwc */
__private const int count,
__read_only image2d_t input) {
int w = get_global_id(0);
int h = get_global_id(1);
const int offset = w * 4;
const sampler_t sampler = CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST;
int2 coord = (int2)(w, h);
VEC_DATA_TYPE(DATA_TYPE, 4) values = CMD_TYPE(read_image, CMD_DATA_TYPE)(input, sampler, coord);
if (offset + 4 > count) {
const int diff = count - offset;
output[offset] = values.s0;
if (diff == 2) {
output[offset+1] = values.s1;
} else {
output[offset+1] = values.s1;
output[offset+2] = values.s2;
}
} else {
vstore4(values, 0, output + offset);
}
}
mace/kernels/opencl/cl/common.h
浏览文件 @ 3b55f153
......@@ -11,4 +11,7 @@
#define VEC_DATA_TYPE_STR(data_type, size) data_type##size
#define VEC_DATA_TYPE(data_type, size) VEC_DATA_TYPE_STR(data_type, size)
#define CMD_TYPE_STR(cmd, type) cmd##type
#define CMD_TYPE(cmd, type) CMD_TYPE_STR(cmd, type)
#endif // MACE_KERNELS_OPENCL_CL_COMMON_H_
mace/kernels/opencl/cl/conv_2d_1x1.cl
浏览文件 @ 3b55f153
......@@ -165,47 +165,85 @@ __kernel void conv_2d_1x1_v2(__global const DATA_TYPE *input, /* n, c, h, w */
}
}
/* FIXME this is incomplete */
__kernel void conv_2d_1x1_v3(__read_only image3d_t input, /* n, c/4, h, w, 4 */
__global const float *filter, /* o, i, kh, kw */
__global const float *bias, /* o */
__write_only image3d_t output, /* n, c/4, h, w, 4 */
__private const int batch_num,
__private const int in_chan_num,
__private const int out_chan_num,
__private const int height,
__private const int width) {
int out_chan_blk = get_global_id(0);
int h = get_global_id(1);
int w = get_global_id(2);
// TODO : validation
__kernel void conv_2d_1x1(__read_only image2d_t input, /* [c%4 * w * c/4, h * b] */
__read_only image2d_t filter, /* cout%4 * cin, cout/4 */
__read_only image2d_t bias, /* cout%4 * cout/4 */
__write_only image2d_t output,
__private const int in_ch_blks,
__private const int width) {
const int out_ch_blk = get_global_id(0);
const int out_w_blk = get_global_id(1);
const int out_w_blks = get_global_size(1);
const int out_hb = get_global_id(2);
const sampler_t sampler = CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST;
int in_chan_blk_num = (in_chan_num + 3) / 4;
int out_chan_blk_num = (out_chan_num + 3) / 4;
half4 bias_value = read_imageh(bias, sampler, (int2)(out_w_blk, 1));
half4 out0 = (half4)(bias_value.x, bias_value.x, bias_value.x, bias_value.x);
half4 out1 = (half4)(bias_value.y, bias_value.y, bias_value.y, bias_value.y);
half4 out2 = (half4)(bias_value.z, bias_value.z, bias_value.z, bias_value.z);
half4 out3 = (half4)(bias_value.w, bias_value.w, bias_value.w, bias_value.w);
// Unrolling this loop hurt perfmance
int in_x_base = 0;
for (int in_ch_blk = 0; in_ch_blk < in_ch_blks; ++in_ch_blk) {
const int in_x0 = in_x_base + out_w_blk;;
const int in_x1 = in_x0 + out_w_blks;
const int in_x2 = in_x1 + out_w_blks;
const int in_x3 = in_x2 + out_w_blks;
in_x_base += width;
const half4 in0 = read_imageh(input, sampler, (int2)(in_x0, out_hb));
const half4 in1 = read_imageh(input, sampler, (int2)(in_x1, out_hb));
const half4 in2 = read_imageh(input, sampler, (int2)(in_x2, out_hb));
const half4 in3 = read_imageh(input, sampler, (int2)(in_x3, out_hb));
// The order matters, load input first then load filter, why?
const int filter_x0 = in_ch_blk << 2;
const half4 weights0 = read_imageh(filter, sampler, (int2)(filter_x0, out_ch_blk));
const half4 weights1 = read_imageh(filter, sampler, (int2)(filter_x0 + 1, out_ch_blk));
const half4 weights2 = read_imageh(filter, sampler, (int2)(filter_x0 + 2, out_ch_blk));
const half4 weights3 = read_imageh(filter, sampler, (int2)(filter_x0 + 3, out_ch_blk));
// Will prefetch L2 improve performance? How to pretch image data?
// Interleaving load and mul does not improve performance as expected
out0 += in0.x * weights0;
out1 += in1.x * weights0;
out2 += in2.x * weights0;
out3 += in3.x * weights0;
out0 += in0.y * weights1;
out1 += in1.y * weights1;
out2 += in2.y * weights1;
out3 += in3.y * weights1;
out0 += in0.z * weights2;
out1 += in1.z * weights2;
out2 += in2.z * weights2;
out3 += in3.z * weights2;
out0 += in0.w * weights3;
out1 += in1.w * weights3;
out2 += in2.w * weights3;
out3 += in3.w * weights3;
}
const sampler_t sampler = CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST;
const int out_x_offset = out_ch_blk * width;
const int w0 = out_w_blk;
write_imageh(output, (int2)(out_x_offset + w0, out_hb), out0);
for (int batch = 0; batch < batch_num; ++batch) {
float4 bias_value = vload4(out_chan_blk, bias);
__private float4 out = bias_value;
for (int in_chan_blk = 0; in_chan_blk < in_chan_blk_num; ++in_chan_blk) {
int in_d = batch * in_chan_blk_num + in_chan_blk;
float4 in = read_imagef(input, sampler, (int4)(in_d, h, w, 0));
const float *filter_base = filter + (out_chan_blk << 2) * in_chan_num;
float4 weights = vload4(in_chan_blk, filter_base);
out.x += dot(in, weights);
weights = vload4(in_chan_blk, filter_base + in_chan_num);
out.y += dot(in, weights);
weights = vload4(in_chan_blk, filter_base + in_chan_num * 2);
out.z += dot(in, weights);
weights = vload4(in_chan_blk, filter_base + in_chan_num * 3);
out.w += dot(in, weights);
}
const int w1 = w0 + out_w_blks;
if (w1 >= width) return;
write_imageh(output, (int2)(out_x_offset + w1, out_hb), out1);
int out_d = batch * out_chan_blk_num + out_chan_blk;
int4 out_coord = (int4)(out_d, h, w, 0);
write_imagef(output, out_coord, out);
}
const int w2 = w1 + out_w_blks;
if (w2 >= width) return;
write_imageh(output, (int2)(out_x_offset + w2, out_hb), out2);
const int w3 = w2 + out_w_blks;
if (w3 >= width) return;
write_imageh(output, (int2)(out_x_offset + w3, out_hb), out3);
}
mace/kernels/opencl/conv_2d_opencl.cc
浏览文件 @ 3b55f153
......@@ -3,6 +3,7 @@
//
#include "mace/kernels/conv_2d.h"
#include "mace/kernels/opencl/helper.h"
namespace mace {
namespace kernels {
......@@ -47,10 +48,25 @@ void Conv2dFunctor<DeviceType::OPENCL, float>::operator()(const Tensor *input,
input, filter, bias, output);
return;
}
std::vector<index_t> output_shape(4);
std::vector<int> paddings(2);
kernels::CalcPaddingAndOutputSize(
input->shape().data(), filter->shape().data(), dilations_,
strides_, paddings_, output_shape.data(), paddings.data());
if (input->is_image()) {
std::vector<size_t> output_image_shape;
CalImage2DShape(output_shape, BufferType::IN_OUT, output_image_shape);
output->ResizeImage(output_shape, output_image_shape);
} else {
output->Resize(output_shape);
}
auto conv2d_func = selector[kernel_h - 1][strides_[0] - 1];
if (paddings_[0] > 0 || paddings_[1] > 0) {
if (paddings[0] > 0 || paddings[1] > 0) {
Tensor padded_input(GetDeviceAllocator(DeviceType::OPENCL), DataTypeToEnum<float>::v());
ConstructInputWithPadding(input, paddings_.data(), &padded_input);
ConstructInputWithPadding(input, paddings.data(), &padded_input);
conv2d_func(&padded_input, filter, bias, output);
}else {
conv2d_func(input, filter, bias, output);
......
mace/kernels/opencl/conv_2d_opencl_1x1.cc
浏览文件 @ 3b55f153
......@@ -3,45 +3,14 @@
//
#include "mace/kernels/conv_2d.h"
#include "mace/core/common.h"
#include "mace/core/runtime/opencl/cl2_header.h"
#include "mace/core/runtime/opencl/opencl_runtime.h"
#include "mace/utils/utils.h"
#include "mace/kernels/opencl/helper.h"
namespace mace {
namespace kernels {
void Conv1x1Naive(const Tensor *input,
const Tensor *filter,
const Tensor *bias,
Tensor *output) {
const index_t batch = output->dim(0);
const index_t channels = output->dim(1);
const index_t height = output->dim(2);
const index_t width = output->dim(3);
const index_t input_channels = input->dim(1);
auto runtime = OpenCLRuntime::Get();
auto program = runtime->program();
auto conv_2d =
cl::KernelFunctor<cl::Buffer, cl::Buffer, cl::Buffer, cl::Buffer, int,
int>(program, "conv_2d_1x1_naive");
const index_t pixels = height * width;
cl_int error;
conv_2d(cl::EnqueueArgs(
runtime->command_queue(),
cl::NDRange(static_cast<int>(batch), static_cast<int>(channels),
static_cast<int>(pixels)),
cl::NDRange(1, 1, 128)),
*(static_cast<cl::Buffer *>(input->buffer())),
*(static_cast<cl::Buffer *>(filter->buffer())),
*(static_cast<cl::Buffer *>(bias->buffer())),
*(static_cast<cl::Buffer *>(output->buffer())),
static_cast<int>(input_channels), error);
MACE_CHECK(error == CL_SUCCESS);
}
void Conv1x1V2(const Tensor *input,
const Tensor *filter,
const Tensor *bias,
......@@ -98,85 +67,44 @@ void Conv1x1V3(const Tensor *input,
const Tensor *filter,
const Tensor *bias,
Tensor *output) {
const index_t batch = output->dim(0);
const index_t channels = output->dim(1);
const index_t height = output->dim(2);
const index_t width = output->dim(3);
const index_t input_channels = input->dim(1);
auto runtime = OpenCLRuntime::Get();
auto program = runtime->program();
const index_t channel_blocks = RoundUpDiv4(channels);
const index_t input_channel_blocks = RoundUpDiv4(input_channels);
const index_t pixels = height * width;
const index_t pixel_blocks = (pixels + 3) / 4;
std::set<std::string> built_options;
built_options.emplace("-DDATA_TYPE=" + DataTypeToCLType(input->dtype()));
built_options.emplace("-DSTRIDE_1");
built_options.emplace(bias != nullptr ? "-DBIAS" : "");
const index_t channel_blocks = (channels + 3) / 4;
const index_t input_channel_blocks = (input_channels + 3) / 4;
// FIXME temp hacking
static std::map<std::ptrdiff_t, cl::Image3D> input_image_map;
static std::map<std::ptrdiff_t, cl::Image3D> output_image_map;
cl::Image3D input_image;
cl::Image3D output_image;
auto input_iter =
input_image_map.find(reinterpret_cast<std::ptrdiff_t>(input->buffer()));
if (input_iter != input_image_map.end()) {
input_image = input_iter->second;
} else {
// The batch dimension is collapsed with channel
cl_int error;
cl::Image3D image =
cl::Image3D(OpenCLRuntime::Get()->context(),
CL_MEM_READ_ONLY | CL_MEM_ALLOC_HOST_PTR,
cl::ImageFormat(CL_RGBA, CL_FLOAT), height, width,
batch * input_channel_blocks, 0, 0, nullptr, &error);
MACE_CHECK(error == CL_SUCCESS);
input_image = image;
input_image_map.clear();
input_image_map.emplace(reinterpret_cast<std::ptrdiff_t>(input->buffer()),
image);
}
auto output_iter =
output_image_map.find(reinterpret_cast<std::ptrdiff_t>(output->buffer()));
if (output_iter != output_image_map.end()) {
output_image = output_iter->second;
} else {
cl_int error;
cl::Image3D image =
cl::Image3D(OpenCLRuntime::Get()->context(),
CL_MEM_WRITE_ONLY | CL_MEM_ALLOC_HOST_PTR,
cl::ImageFormat(CL_RGBA, CL_FLOAT), height, width,
batch * channel_blocks, 0, 0, nullptr, &error);
MACE_CHECK(error == CL_SUCCESS);
output_image = image;
output_image_map.clear();
output_image_map.emplace(reinterpret_cast<std::ptrdiff_t>(output->buffer()),
image);
}
auto runtime = OpenCLRuntime::Get();
auto program = runtime->program();
auto conv_2d_kernel = cl::Kernel(program, "conv_2d_1x1_v3");
auto conv_2d_kernel = runtime->BuildKernel("conv_2d_1x1", "conv_2d_1x1", built_options);
const uint32_t kwg_size = runtime->GetKernelMaxWorkGroupSize(conv_2d_kernel);
uint32_t idx = 0;
conv_2d_kernel.setArg(idx++, input_image);
conv_2d_kernel.setArg(idx++,
*(static_cast<const cl::Buffer *>(filter->buffer())));
conv_2d_kernel.setArg(idx++,
*(static_cast<const cl::Buffer *>(bias->buffer())));
conv_2d_kernel.setArg(idx++, output_image);
conv_2d_kernel.setArg(idx++, static_cast<int>(batch));
conv_2d_kernel.setArg(idx++, static_cast<int>(input_channels));
conv_2d_kernel.setArg(idx++, static_cast<int>(channels));
conv_2d_kernel.setArg(idx++, static_cast<int>(height));
conv_2d_kernel.setArg(idx++, *(static_cast<const cl::Image2D *>(input->buffer())));
conv_2d_kernel.setArg(idx++, *(static_cast<const cl::Image2D *>(filter->buffer())));
if (bias != nullptr) {
conv_2d_kernel.setArg(idx++, *(static_cast<const cl::Image2D *>(bias->buffer())));
}
conv_2d_kernel.setArg(idx++, *(static_cast<const cl::Image2D *>(output->buffer())));
conv_2d_kernel.setArg(idx++, static_cast<int>(input_channel_blocks));
conv_2d_kernel.setArg(idx++, static_cast<int>(width));
auto command_queue = runtime->command_queue();
cl_int error;
error = command_queue.enqueueNDRangeKernel(
conv_2d_kernel, cl::NullRange,
cl::NDRange(static_cast<int>(channel_blocks), static_cast<int>(height),
static_cast<int>(width)),
cl::NDRange(1, 2, kwg_size / 2));
cl::NDRange(static_cast<uint32_t>(channel_blocks), static_cast<uint32_t>(height),
static_cast<uint32_t>(height * batch)),
cl::NDRange(4, 15, 8));
MACE_CHECK(error == CL_SUCCESS, error);
}
......
mace/kernels/opencl/conv_2d_opencl_3x3.cc
浏览文件 @ 3b55f153
......@@ -5,6 +5,7 @@
#include "mace/core/common.h"
#include "mace/core/runtime/opencl/opencl_runtime.h"
#include "mace/kernels/conv_2d.h"
#include "mace/kernels/opencl/helper.h"
namespace mace {
namespace kernels {
......
mace/kernels/opencl/depthwise_conv_opencl_3x3.cc
浏览文件 @ 3b55f153
......@@ -5,6 +5,7 @@
#include "mace/core/common.h"
#include "mace/core/runtime/opencl/opencl_runtime.h"
#include "mace/kernels/conv_2d.h"
#include "mace/kernels/opencl/helper.h"
namespace mace {
namespace kernels {
......
mace/kernels/opencl/helper.cc 0 → 100644
浏览文件 @ 3b55f153
//
// Copyright (c) 2017 XiaoMi All rights reserved.
//
#include "mace/kernels/opencl/helper.h"
#include "mace/utils/utils.h"
namespace mace {
namespace kernels {
// [(c+3)/4*W, N * H]
void CalInOutputImageShape(const std::vector<index_t> &shape, /* NHWC */
std::vector<size_t> &image_shape) {
MACE_CHECK(shape.size() == 4);
image_shape.resize(2);
image_shape[0] = RoundUpDiv4(shape[3]) * shape[2];
image_shape[1] = shape[0] * shape[1];
}
// [H * W * Ic, (Oc + 3) / 4]
void CalFilterImageShape(const std::vector<index_t> &shape, /* HWIO*/
std::vector<size_t> &image_shape) {
MACE_CHECK(shape.size() == 4);
image_shape.resize(2);
image_shape[0] = shape[0] * shape[1] * shape[2];
image_shape[1] = RoundUpDiv4(shape.back());
}
// [(size + 3) / 4, 1]
void CalArgImageShape(const std::vector<index_t> &shape,
std::vector<size_t> &image_shape) {
MACE_CHECK(shape.size() == 1);
image_shape.resize(2);
image_shape[0] = RoundUpDiv4(shape[0]);
image_shape[1] = 1;
}
void CalImage2DShape(const std::vector<index_t> &shape, /* NHWC */
const BufferType type,
std::vector<size_t> &image_shape) {
switch (type) {
case FILTER:
CalFilterImageShape(shape, image_shape);
break;
case IN_OUT:
CalInOutputImageShape(shape, image_shape);
break;
case ARGUMENT:
CalArgImageShape(shape, image_shape);
break;
default:
LOG(FATAL) << "Mace not supported yet.";
}
}
std::string DataTypeToCLType(const DataType dt) {
switch (dt) {
case DT_FLOAT:
return "float";
case DT_HALF:
return "half";
case DT_UINT8:
return "uchar";
case DT_INT8:
return "char";
case DT_DOUBLE:
return "double";
case DT_INT32:
return "int";
case DT_UINT32:
return "int";
case DT_UINT16:
return "ushort";
case DT_INT16:
return "short";
case DT_INT64:
return "long";
default:
LOG(FATAL) << "Unsupported data type";
return "";
}
}
std::string DataTypeToOpenclCMDDataType(const DataType dt) {
switch (dt) {
case DT_FLOAT:
return "f";
case DT_HALF:
return "h";
default:
LOG(FATAL) << "Not supported data type for opencl cmd data type";
return "";
}
}
} // namespace kernels
} // namespace mace
mace/kernels/opencl/helper.h 0 → 100644
浏览文件 @ 3b55f153
//
// Copyright (c) 2017 XiaoMi All rights reserved.
//
#ifndef MACE_KERNELS_OPENCL_HELPER_H_
#define MACE_KERNELS_OPENCL_HELPER_H_
#include "mace/core/types.h"
namespace mace {
namespace kernels {
enum BufferType {
FILTER = 0,
IN_OUT= 1,
ARGUMENT = 2
};
void CalImage2DShape(const std::vector<index_t> &shape, /* NHWC */
const BufferType type,
std::vector<size_t> &image_shape);
std::string DataTypeToOpenclCMDDataType(const DataType dt);
std::string DataTypeToCLType(const DataType dt);
} // namespace kernels
} // namespace mace
#endif // MACE_KERNELS_OPENCL_HELPER_H_
mace/kernels/opencl/pooling_opencl.cc
浏览文件 @ 3b55f153
......@@ -5,6 +5,7 @@
#include "mace/kernels/pooling.h"
#include "mace/core/runtime/opencl/cl2_header.h"
#include "mace/core/runtime/opencl/opencl_runtime.h"
#include "mace/kernels/opencl/helper.h"
namespace mace {
namespace kernels {
......
mace/kernels/opencl/relu_opencl.cc
浏览文件 @ 3b55f153
......@@ -5,6 +5,7 @@
#include "mace/kernels/relu.h"
#include "mace/core/runtime/opencl/cl2_header.h"
#include "mace/core/runtime/opencl/opencl_runtime.h"
#include "mace/kernels/opencl/helper.h"
namespace mace {
namespace kernels {
......
mace/kernels/opencl/resize_bilinear_opencl.cc
浏览文件 @ 3b55f153
......@@ -5,6 +5,7 @@
#include "mace/core/runtime/opencl/opencl_runtime.h"
#include "mace/core/tensor.h"
#include "mace/kernels/resize_bilinear.h"
#include "mace/kernels/opencl/helper.h"
namespace mace {
namespace kernels {
......
mace/kernels/opencl/space_to_batch_opecl.cc
浏览文件 @ 3b55f153
......@@ -8,6 +8,7 @@
#include "mace/core/common.h"
#include "mace/core/runtime/opencl/opencl_runtime.h"
#include "mace/kernels/space_to_batch.h"
#include "mace/kernels/opencl/helper.h"
namespace mace {
namespace kernels {
......
mace/ops/buffer_to_image.cc 0 → 100644
浏览文件 @ 3b55f153
//
// Copyright (c) 2017 XiaoMi All rights reserved.
//
#include "mace/ops/buffer_to_image.h"
namespace mace {
REGISTER_OPENCL_OPERATOR(BufferToImage, BufferToImageOp<DeviceType::OPENCL, float>);
} // namespace mace
mace/ops/buffer_to_image.h 0 → 100644
浏览文件 @ 3b55f153
//
// Copyright (c) 2017 XiaoMi All rights reserved.
//
#ifndef MACE_OPS_BUFFER_TO_IMAGE_H_
#define MACE_OPS_BUFFER_TO_IMAGE_H_
#include "mace/core/operator.h"
#include "mace/kernels/buffer_to_image.h"
namespace mace {
template <DeviceType D, typename T>
class BufferToImageOp: public Operator<D, T> {
public:
BufferToImageOp(const OperatorDef &op_def, Workspace *ws)
: Operator<D, T>(op_def, ws) {}
bool Run() override {
const Tensor *input_tensor = this->Input(INPUT);
kernels::BufferType type = static_cast<kernels::BufferType>(OperatorBase::GetSingleArgument<int>(
"buffer_type", static_cast<int>(kernels::FILTER)));
Tensor *output = this->Output(OUTPUT);
functor_(const_cast<Tensor *>(input_tensor), type, output);
return true;
}
private:
kernels::BufferToImageFunctor<D, T> functor_;
protected:
OP_INPUT_TAGS(INPUT);
OP_OUTPUT_TAGS(OUTPUT);
};
} // namespace mace
#endif // MACE_OPS_BUFFER_TO_IMAGE_H_
mace/ops/buffer_to_image_test.cc 0 → 100644
浏览文件 @ 3b55f153
//
// Copyright (c) 2017 XiaoMi All rights reserved.
//
#include "gtest/gtest.h"
#include "mace/ops/ops_test_util.h"
#include "mace/kernels/opencl/helper.h"
using namespace mace;
template<DeviceType D, typename T>
void TestBidirectionTransform(const int type, const std::vector<index_t> &input_shape) {
OpsTestNet net;
OpDefBuilder("BufferToImage", "BufferToImageTest")
.Input("Input")
.Output("B2IOutput")
.AddIntArg("buffer_type", type)
.Finalize(net.NewOperatorDef());
// Add input data
net.AddRandomInput<D, T>("Input", input_shape);
// Run
net.RunOp(D);
OpDefBuilder("ImageToBuffer", "ImageToBufferTest")
.Input("B2IOutput")
.Output("I2BOutput")
.AddIntArg("buffer_type", type)
.Finalize(net.NewOperatorDef());
// Run
net.RunOp(D);
// Check
ExpectTensorNear<T>(*net.GetOutput("Input"), *net.GetOutput("I2BOutput"), 1e-5);
}
TEST(BufferToImageTest, ArgSmall) {
TestBidirectionTransform<DeviceType::OPENCL, float>(kernels::ARGUMENT, {1});
}
TEST(BufferToImageTest, ArgMedia) {
TestBidirectionTransform<DeviceType::OPENCL, float>(kernels::ARGUMENT, {11});
}
TEST(BufferToImageTest, ArgLarge) {
TestBidirectionTransform<DeviceType::OPENCL, float>(kernels::ARGUMENT, {256});
}
TEST(BufferToImageTest, InputSmallSingleChannel) {
TestBidirectionTransform<DeviceType::OPENCL, float>(kernels::IN_OUT, {1, 2, 3, 1});
}
TEST(BufferToImageTest, InputSmallMultipleChannel) {
TestBidirectionTransform<DeviceType::OPENCL, float>(kernels::IN_OUT, {1, 2, 3, 3});
}
TEST(BufferToImageTest, InputSmallMultipleBatchAndChannel) {
TestBidirectionTransform<DeviceType::OPENCL, float>(kernels::IN_OUT, {3, 2, 3, 3});
}
TEST(BufferToImageTest, InputMedia) {
TestBidirectionTransform<DeviceType::OPENCL, float>(kernels::IN_OUT, {3, 13, 17, 128});
}
TEST(BufferToImageTest, InputLarge) {
TestBidirectionTransform<DeviceType::OPENCL, float>(kernels::IN_OUT, {3, 64, 64, 256});
}
TEST(BufferToImageTest, Filter1x1Small) {
TestBidirectionTransform<DeviceType::OPENCL, float>(kernels::FILTER, {1, 1, 3, 5});
}
TEST(BufferToImageTest, Filter1x1Media) {
TestBidirectionTransform<DeviceType::OPENCL, float>(kernels::FILTER, {1, 1, 13, 17});
}
TEST(BufferToImageTest, Filter1x1Large) {
TestBidirectionTransform<DeviceType::OPENCL, float>(kernels::FILTER, {1, 1, 128, 512});
}
TEST(BufferToImageTest, Filter3x3Small) {
TestBidirectionTransform<DeviceType::OPENCL, float>(kernels::FILTER, {3, 3, 3, 5});
}
TEST(BufferToImageTest, Filter3x3Meida) {
TestBidirectionTransform<DeviceType::OPENCL, float>(kernels::FILTER, {3, 3, 13, 17});
}
TEST(BufferToImageTest, Filter3x3Large) {
TestBidirectionTransform<DeviceType::OPENCL, float>(kernels::FILTER, {3, 3, 128, 256});
}
mace/ops/conv_2d.h
浏览文件 @ 3b55f153
......@@ -17,9 +17,9 @@ template <DeviceType D, typename T>
class Conv2dOp : public ConvPool2dOpBase<D, T> {
public:
Conv2dOp(const OperatorDef &op_def, Workspace *ws)
: ConvPool2dOpBase<D, T>(op_def, ws) {
functor_.strides_ = this->strides_.data();
functor_.dilations_ = this->dilations_.data();
: ConvPool2dOpBase<D, T>(op_def, ws),
functor_(this->strides_.data(), this->padding_,
this->dilations_.data()) {
}
bool Run() override {
......@@ -28,15 +28,6 @@ class Conv2dOp : public ConvPool2dOpBase<D, T> {
const Tensor *bias = this->InputSize() >= 3 ? this->Input(BIAS) : nullptr;
Tensor *output = this->Output(OUTPUT);
std::vector<index_t> output_shape(4);
std::vector<int> paddings(2);
kernels::CalcPaddingAndOutputSize(
input->shape().data(), filter->shape().data(), this->dilations_.data(),
this->strides_.data(), this->padding_, output_shape.data(),
paddings.data());
output->Resize(output_shape);
functor_.paddings_ = paddings;
functor_(input, filter, bias, output);
return true;
......
mace/ops/image_to_buffer.cc 0 → 100644
浏览文件 @ 3b55f153
//
// Copyright (c) 2017 XiaoMi All rights reserved.
//
#include "mace/ops/image_to_buffer.h"
namespace mace {
REGISTER_OPENCL_OPERATOR(ImageToBuffer, ImageToBufferOp<DeviceType::OPENCL, float>);
} // namespace mace
mace/ops/image_to_buffer.h 0 → 100644
浏览文件 @ 3b55f153
//
// Copyright (c) 2017 XiaoMi All rights reserved.
//
#ifndef MACE_OPS_BUFFER_TO_IMAGE_H_
#define MACE_OPS_BUFFER_TO_IMAGE_H_
#include "mace/core/operator.h"
#include "mace/kernels/buffer_to_image.h"
namespace mace {
template <DeviceType D, typename T>
class ImageToBufferOp: public Operator<D, T> {
public:
ImageToBufferOp(const OperatorDef &op_def, Workspace *ws)
: Operator<D, T>(op_def, ws), functor_(true) {}
bool Run() override {
const Tensor *input_tensor = this->Input(INPUT);
Tensor *output = this->Output(OUTPUT);
kernels::BufferType type = static_cast<kernels::BufferType>(OperatorBase::GetSingleArgument<int>(
"buffer_type", static_cast<int>(kernels::FILTER)));
functor_(output, type, const_cast<Tensor *>(input_tensor));
return true;
}
private:
kernels::BufferToImageFunctor<D, T> functor_;
protected:
OP_INPUT_TAGS(INPUT);
OP_OUTPUT_TAGS(OUTPUT);
};
} // namespace mace
#endif // MACE_OPS_BUFFER_TO_IMAGE_H_
mace/ops/ops_test_util.h
浏览文件 @ 3b55f153
......@@ -12,6 +12,7 @@
#include "mace/core/net.h"
#include "mace/core/tensor.h"
#include "mace/core/runtime/opencl/opencl_runtime.h"
#include "mace/kernels/opencl/helper.h"
namespace mace {
......@@ -106,6 +107,32 @@ class OpsTestNet {
memcpy(input_data, data.data(), data.size() * sizeof(T));
}
template <DeviceType D, typename T>
void AddInputImageFromArray(const std::string &name,
const std::vector<index_t> &shape,
const std::vector<T> &data) {
Tensor *input =
ws_.CreateTensor(name, GetDeviceAllocator(D), DataTypeToEnum<T>::v());
std::vector<size_t> image_shape;
input->ResizeImage(shape, image_shape);
Tensor::MappingGuard input_mapper(input);
T *input_data = input->mutable_data<T>();
MACE_CHECK(static_cast<size_t>(input->size()) == data.size());
const T *data_ptr = data.data();
const int type_size = sizeof(T);
const int row_pitch = shape[3];
auto mapped_image_pitch = input_mapper.mapped_image_pitch();
const size_t slice_size = mapped_image_pitch[1] / sizeof(T);
for (int c = 0; c < shape[0] * shape[1]; ++c) {
T *input_ptr = input_data + c * slice_size;
for (int h = 0; h < shape[2]; ++h) {
memcpy(input_ptr, data_ptr, row_pitch * type_size);
input_ptr += mapped_image_pitch[0] / sizeof(T);
data_ptr += row_pitch;
}
}
}
template <DeviceType D, typename T>
void AddRepeatedInput(const std::string &name,
const std::vector<index_t> &shape,
......@@ -126,19 +153,26 @@ class OpsTestNet {
ws_.CreateTensor(name, GetDeviceAllocator(D), DataTypeToEnum<T>::v());
input->Resize(shape);
Tensor::MappingGuard input_mapper(input);
float *input_data = input->mutable_data<T>();
T *input_data = input->mutable_data<T>();
std::random_device rd;
std::mt19937 gen(rd());
std::normal_distribution<T> nd(0, 1);
std::generate(input_data, input_data + input->size(),
[&gen, &nd, positive] {
return positive ? std::abs(nd(gen)) : nd(gen);
});
std::normal_distribution<float> nd(0, 1);
if (DataTypeToEnum<T>::value == DT_HALF) {
std::generate(input_data, input_data + input->size(),
[&gen, &nd, positive] {
return half_float::half_cast<half>(positive ? std::abs(nd(gen)) : nd(gen));
});
} else {
std::generate(input_data, input_data + input->size(),
[&gen, &nd, positive] {
return positive ? std::abs(nd(gen)) : nd(gen);
});
}
}
OperatorDef *NewOperatorDef() {
op_defs_.clear();
op_defs_.emplace_back(OperatorDef());
return &op_defs_[op_defs_.size() - 1];
}
......@@ -258,7 +292,8 @@ inline std::string ShapeToString(const Tensor &x) {
template <typename T>
struct is_floating_point_type {
static const bool value =
std::is_same<T, float>::value || std::is_same<T, double>::value;
std::is_same<T, float>::value || std::is_same<T, double>::value
|| std::is_same<T, half>::value;
};
template <typename T>
......@@ -314,6 +349,7 @@ struct Expector<T, true> {
<< " index = " << i;
}
}
};
template <typename T>
......@@ -330,6 +366,7 @@ std::string ToString(const T &input) {
return ss.str();
}
} // namespace mace
#endif // MACE_OPS_TEST_UTIL_H_
mace/utils/utils.h
浏览文件 @ 3b55f153
......@@ -13,6 +13,17 @@ Integer RoundUp(Integer i, Integer factor) {
return (i + factor - 1) / factor * factor;
}
template <typename Integer, uint32_t factor>
Integer RoundUpDiv(Integer i) {
return (i + factor - 1) / factor;
}
// Partial specialization of function templates is not allowed
template <typename Integer>
Integer RoundUpDiv4(Integer i) {
return (i + 3) >> 2;
}
template <typename Integer>
Integer CeilQuotient(Integer a, Integer b) {
return (a + b - 1) / b;
......
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