mirror of
https://github.com/dolphin-emu/dolphin.git
synced 2024-11-15 13:57:57 -07:00
347 lines
8.4 KiB
C++
347 lines
8.4 KiB
C++
// Copyright 2008 Dolphin Emulator Project
|
|
// Licensed under GPLv2+
|
|
// Refer to the license.txt file included.
|
|
|
|
#include <cmath>
|
|
#include <cstring>
|
|
#include <limits>
|
|
#include <numeric>
|
|
|
|
#include "Common/CommonTypes.h"
|
|
#include "Common/MathUtil.h"
|
|
|
|
namespace MathUtil
|
|
{
|
|
u32 ClassifyDouble(double dvalue)
|
|
{
|
|
// TODO: Optimize the below to be as fast as possible.
|
|
IntDouble value(dvalue);
|
|
u64 sign = value.i & DOUBLE_SIGN;
|
|
u64 exp = value.i & DOUBLE_EXP;
|
|
if (exp > DOUBLE_ZERO && exp < DOUBLE_EXP)
|
|
{
|
|
// Nice normalized number.
|
|
return sign ? PPC_FPCLASS_NN : PPC_FPCLASS_PN;
|
|
}
|
|
else
|
|
{
|
|
u64 mantissa = value.i & DOUBLE_FRAC;
|
|
if (mantissa)
|
|
{
|
|
if (exp)
|
|
{
|
|
return PPC_FPCLASS_QNAN;
|
|
}
|
|
else
|
|
{
|
|
// Denormalized number.
|
|
return sign ? PPC_FPCLASS_ND : PPC_FPCLASS_PD;
|
|
}
|
|
}
|
|
else if (exp)
|
|
{
|
|
// Infinite
|
|
return sign ? PPC_FPCLASS_NINF : PPC_FPCLASS_PINF;
|
|
}
|
|
else
|
|
{
|
|
// Zero
|
|
return sign ? PPC_FPCLASS_NZ : PPC_FPCLASS_PZ;
|
|
}
|
|
}
|
|
}
|
|
|
|
u32 ClassifyFloat(float fvalue)
|
|
{
|
|
// TODO: Optimize the below to be as fast as possible.
|
|
IntFloat value(fvalue);
|
|
u32 sign = value.i & FLOAT_SIGN;
|
|
u32 exp = value.i & FLOAT_EXP;
|
|
if (exp > FLOAT_ZERO && exp < FLOAT_EXP)
|
|
{
|
|
// Nice normalized number.
|
|
return sign ? PPC_FPCLASS_NN : PPC_FPCLASS_PN;
|
|
}
|
|
else
|
|
{
|
|
u32 mantissa = value.i & FLOAT_FRAC;
|
|
if (mantissa)
|
|
{
|
|
if (exp)
|
|
{
|
|
return PPC_FPCLASS_QNAN; // Quiet NAN
|
|
}
|
|
else
|
|
{
|
|
// Denormalized number.
|
|
return sign ? PPC_FPCLASS_ND : PPC_FPCLASS_PD;
|
|
}
|
|
}
|
|
else if (exp)
|
|
{
|
|
// Infinite
|
|
return sign ? PPC_FPCLASS_NINF : PPC_FPCLASS_PINF;
|
|
}
|
|
else
|
|
{
|
|
// Zero
|
|
return sign ? PPC_FPCLASS_NZ : PPC_FPCLASS_PZ;
|
|
}
|
|
}
|
|
}
|
|
|
|
const std::array<BaseAndDec, 32> frsqrte_expected = {{
|
|
{0x3ffa000, 0x7a4}, {0x3c29000, 0x700}, {0x38aa000, 0x670}, {0x3572000, 0x5f2},
|
|
{0x3279000, 0x584}, {0x2fb7000, 0x524}, {0x2d26000, 0x4cc}, {0x2ac0000, 0x47e},
|
|
{0x2881000, 0x43a}, {0x2665000, 0x3fa}, {0x2468000, 0x3c2}, {0x2287000, 0x38e},
|
|
{0x20c1000, 0x35e}, {0x1f12000, 0x332}, {0x1d79000, 0x30a}, {0x1bf4000, 0x2e6},
|
|
{0x1a7e800, 0x568}, {0x17cb800, 0x4f3}, {0x1552800, 0x48d}, {0x130c000, 0x435},
|
|
{0x10f2000, 0x3e7}, {0x0eff000, 0x3a2}, {0x0d2e000, 0x365}, {0x0b7c000, 0x32e},
|
|
{0x09e5000, 0x2fc}, {0x0867000, 0x2d0}, {0x06ff000, 0x2a8}, {0x05ab800, 0x283},
|
|
{0x046a000, 0x261}, {0x0339800, 0x243}, {0x0218800, 0x226}, {0x0105800, 0x20b},
|
|
}};
|
|
|
|
double ApproximateReciprocalSquareRoot(double val)
|
|
{
|
|
union
|
|
{
|
|
double valf;
|
|
s64 vali;
|
|
};
|
|
valf = val;
|
|
s64 mantissa = vali & ((1LL << 52) - 1);
|
|
s64 sign = vali & (1ULL << 63);
|
|
s64 exponent = vali & (0x7FFLL << 52);
|
|
|
|
// Special case 0
|
|
if (mantissa == 0 && exponent == 0)
|
|
return sign ? -std::numeric_limits<double>::infinity() :
|
|
std::numeric_limits<double>::infinity();
|
|
// Special case NaN-ish numbers
|
|
if (exponent == (0x7FFLL << 52))
|
|
{
|
|
if (mantissa == 0)
|
|
{
|
|
if (sign)
|
|
return std::numeric_limits<double>::quiet_NaN();
|
|
|
|
return 0.0;
|
|
}
|
|
|
|
return 0.0 + valf;
|
|
}
|
|
|
|
// Negative numbers return NaN
|
|
if (sign)
|
|
return std::numeric_limits<double>::quiet_NaN();
|
|
|
|
if (!exponent)
|
|
{
|
|
// "Normalize" denormal values
|
|
do
|
|
{
|
|
exponent -= 1LL << 52;
|
|
mantissa <<= 1;
|
|
} while (!(mantissa & (1LL << 52)));
|
|
mantissa &= (1LL << 52) - 1;
|
|
exponent += 1LL << 52;
|
|
}
|
|
|
|
bool odd_exponent = !(exponent & (1LL << 52));
|
|
exponent = ((0x3FFLL << 52) - ((exponent - (0x3FELL << 52)) / 2)) & (0x7FFLL << 52);
|
|
|
|
int i = (int)(mantissa >> 37);
|
|
vali = sign | exponent;
|
|
int index = i / 2048 + (odd_exponent ? 16 : 0);
|
|
const auto& entry = frsqrte_expected[index];
|
|
vali |= (s64)(entry.m_base - entry.m_dec * (i % 2048)) << 26;
|
|
return valf;
|
|
}
|
|
|
|
const std::array<BaseAndDec, 32> fres_expected = {{
|
|
{0x7ff800, 0x3e1}, {0x783800, 0x3a7}, {0x70ea00, 0x371}, {0x6a0800, 0x340}, {0x638800, 0x313},
|
|
{0x5d6200, 0x2ea}, {0x579000, 0x2c4}, {0x520800, 0x2a0}, {0x4cc800, 0x27f}, {0x47ca00, 0x261},
|
|
{0x430800, 0x245}, {0x3e8000, 0x22a}, {0x3a2c00, 0x212}, {0x360800, 0x1fb}, {0x321400, 0x1e5},
|
|
{0x2e4a00, 0x1d1}, {0x2aa800, 0x1be}, {0x272c00, 0x1ac}, {0x23d600, 0x19b}, {0x209e00, 0x18b},
|
|
{0x1d8800, 0x17c}, {0x1a9000, 0x16e}, {0x17ae00, 0x15b}, {0x14f800, 0x15b}, {0x124400, 0x143},
|
|
{0x0fbe00, 0x143}, {0x0d3800, 0x12d}, {0x0ade00, 0x12d}, {0x088400, 0x11a}, {0x065000, 0x11a},
|
|
{0x041c00, 0x108}, {0x020c00, 0x106},
|
|
}};
|
|
|
|
// Used by fres and ps_res.
|
|
double ApproximateReciprocal(double val)
|
|
{
|
|
// We are using namespace std scoped here because the Android NDK is complete trash as usual
|
|
// For 32bit targets(mips, ARMv7, x86) it doesn't provide an implementation of std::copysign
|
|
// but instead provides just global namespace copysign implementations.
|
|
// The workaround for this is to just use namespace std within this function's scope
|
|
// That way on real toolchains it will use the std:: variant like normal.
|
|
using namespace std;
|
|
union
|
|
{
|
|
double valf;
|
|
s64 vali;
|
|
};
|
|
|
|
valf = val;
|
|
s64 mantissa = vali & ((1LL << 52) - 1);
|
|
s64 sign = vali & (1ULL << 63);
|
|
s64 exponent = vali & (0x7FFLL << 52);
|
|
|
|
// Special case 0
|
|
if (mantissa == 0 && exponent == 0)
|
|
return copysign(std::numeric_limits<double>::infinity(), valf);
|
|
|
|
// Special case NaN-ish numbers
|
|
if (exponent == (0x7FFLL << 52))
|
|
{
|
|
if (mantissa == 0)
|
|
return copysign(0.0, valf);
|
|
return 0.0 + valf;
|
|
}
|
|
|
|
// Special case small inputs
|
|
if (exponent < (895LL << 52))
|
|
return copysign(std::numeric_limits<float>::max(), valf);
|
|
|
|
// Special case large inputs
|
|
if (exponent >= (1149LL << 52))
|
|
return copysign(0.0, valf);
|
|
|
|
exponent = (0x7FDLL << 52) - exponent;
|
|
|
|
int i = (int)(mantissa >> 37);
|
|
const auto& entry = fres_expected[i / 1024];
|
|
vali = sign | exponent;
|
|
vali |= (s64)(entry.m_base - (entry.m_dec * (i % 1024) + 1) / 2) << 29;
|
|
return valf;
|
|
}
|
|
|
|
} // namespace
|
|
|
|
inline void MatrixMul(int n, const float* a, const float* b, float* result)
|
|
{
|
|
for (int i = 0; i < n; ++i)
|
|
{
|
|
for (int j = 0; j < n; ++j)
|
|
{
|
|
float temp = 0;
|
|
for (int k = 0; k < n; ++k)
|
|
{
|
|
temp += a[i * n + k] * b[k * n + j];
|
|
}
|
|
result[i * n + j] = temp;
|
|
}
|
|
}
|
|
}
|
|
|
|
// Calculate sum of a float list
|
|
float MathFloatVectorSum(const std::vector<float>& Vec)
|
|
{
|
|
return std::accumulate(Vec.begin(), Vec.end(), 0.0f);
|
|
}
|
|
|
|
void Matrix33::LoadIdentity(Matrix33& mtx)
|
|
{
|
|
memset(mtx.data, 0, sizeof(mtx.data));
|
|
mtx.data[0] = 1.0f;
|
|
mtx.data[4] = 1.0f;
|
|
mtx.data[8] = 1.0f;
|
|
}
|
|
|
|
void Matrix33::RotateX(Matrix33& mtx, float rad)
|
|
{
|
|
float s = sin(rad);
|
|
float c = cos(rad);
|
|
memset(mtx.data, 0, sizeof(mtx.data));
|
|
mtx.data[0] = 1;
|
|
mtx.data[4] = c;
|
|
mtx.data[5] = -s;
|
|
mtx.data[7] = s;
|
|
mtx.data[8] = c;
|
|
}
|
|
void Matrix33::RotateY(Matrix33& mtx, float rad)
|
|
{
|
|
float s = sin(rad);
|
|
float c = cos(rad);
|
|
memset(mtx.data, 0, sizeof(mtx.data));
|
|
mtx.data[0] = c;
|
|
mtx.data[2] = s;
|
|
mtx.data[4] = 1;
|
|
mtx.data[6] = -s;
|
|
mtx.data[8] = c;
|
|
}
|
|
|
|
void Matrix33::Multiply(const Matrix33& a, const Matrix33& b, Matrix33& result)
|
|
{
|
|
MatrixMul(3, a.data, b.data, result.data);
|
|
}
|
|
|
|
void Matrix33::Multiply(const Matrix33& a, const float vec[3], float result[3])
|
|
{
|
|
for (int i = 0; i < 3; ++i)
|
|
{
|
|
result[i] = 0;
|
|
|
|
for (int k = 0; k < 3; ++k)
|
|
{
|
|
result[i] += a.data[i * 3 + k] * vec[k];
|
|
}
|
|
}
|
|
}
|
|
|
|
void Matrix44::LoadIdentity(Matrix44& mtx)
|
|
{
|
|
memset(mtx.data, 0, sizeof(mtx.data));
|
|
mtx.data[0] = 1.0f;
|
|
mtx.data[5] = 1.0f;
|
|
mtx.data[10] = 1.0f;
|
|
mtx.data[15] = 1.0f;
|
|
}
|
|
|
|
void Matrix44::LoadMatrix33(Matrix44& mtx, const Matrix33& m33)
|
|
{
|
|
for (int i = 0; i < 3; ++i)
|
|
{
|
|
for (int j = 0; j < 3; ++j)
|
|
{
|
|
mtx.data[i * 4 + j] = m33.data[i * 3 + j];
|
|
}
|
|
}
|
|
|
|
for (int i = 0; i < 3; ++i)
|
|
{
|
|
mtx.data[i * 4 + 3] = 0;
|
|
mtx.data[i + 12] = 0;
|
|
}
|
|
mtx.data[15] = 1.0f;
|
|
}
|
|
|
|
void Matrix44::Set(Matrix44& mtx, const float mtxArray[16])
|
|
{
|
|
for (int i = 0; i < 16; ++i)
|
|
{
|
|
mtx.data[i] = mtxArray[i];
|
|
}
|
|
}
|
|
|
|
void Matrix44::Translate(Matrix44& mtx, const float vec[3])
|
|
{
|
|
LoadIdentity(mtx);
|
|
mtx.data[3] = vec[0];
|
|
mtx.data[7] = vec[1];
|
|
mtx.data[11] = vec[2];
|
|
}
|
|
|
|
void Matrix44::Shear(Matrix44& mtx, const float a, const float b)
|
|
{
|
|
LoadIdentity(mtx);
|
|
mtx.data[2] = a;
|
|
mtx.data[6] = b;
|
|
}
|
|
|
|
void Matrix44::Multiply(const Matrix44& a, const Matrix44& b, Matrix44& result)
|
|
{
|
|
MatrixMul(4, a.data, b.data, result.data);
|
|
}
|