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JIT: implement fres
Mostly a straightforward translation of the interpreter code, with a few tricksy optimizations and fallbacks for rare paths.
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@ -169,6 +169,71 @@ double ApproximateReciprocalSquareRoot(double val)
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return valf;
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}
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const int fres_expected_base[] =
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{
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0x7ff800, 0x783800, 0x70ea00, 0x6a0800,
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0x638800, 0x5d6200, 0x579000, 0x520800,
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0x4cc800, 0x47ca00, 0x430800, 0x3e8000,
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0x3a2c00, 0x360800, 0x321400, 0x2e4a00,
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0x2aa800, 0x272c00, 0x23d600, 0x209e00,
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0x1d8800, 0x1a9000, 0x17ae00, 0x14f800,
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0x124400, 0x0fbe00, 0x0d3800, 0x0ade00,
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0x088400, 0x065000, 0x041c00, 0x020c00,
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};
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const int fres_expected_dec[] =
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{
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0x3e1, 0x3a7, 0x371, 0x340,
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0x313, 0x2ea, 0x2c4, 0x2a0,
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0x27f, 0x261, 0x245, 0x22a,
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0x212, 0x1fb, 0x1e5, 0x1d1,
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0x1be, 0x1ac, 0x19b, 0x18b,
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0x17c, 0x16e, 0x15b, 0x15b,
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0x143, 0x143, 0x12d, 0x12d,
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0x11a, 0x11a, 0x108, 0x106,
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};
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// Used by fres and ps_res.
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double ApproximateReciprocal(double val)
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{
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union
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{
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double valf;
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s64 vali;
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};
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valf = val;
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s64 mantissa = vali & ((1LL << 52) - 1);
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s64 sign = vali & (1ULL << 63);
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s64 exponent = vali & (0x7FFLL << 52);
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// Special case 0
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if (mantissa == 0 && exponent == 0)
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return sign ? -std::numeric_limits<double>::infinity() : std::numeric_limits<double>::infinity();
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// Special case NaN-ish numbers
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if (exponent == (0x7FFLL << 52))
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{
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if (mantissa == 0)
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return sign ? -0.0 : 0.0;
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return 0.0 + valf;
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}
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// Special case small inputs
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if (exponent < (895LL << 52))
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return sign ? -std::numeric_limits<float>::max() : std::numeric_limits<float>::max();
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// Special case large inputs
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if (exponent >= (1149LL << 52))
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return sign ? -0.0f : 0.0f;
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exponent = (0x7FDLL << 52) - exponent;
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int i = (int)(mantissa >> 37);
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vali = sign | exponent;
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vali |= (s64)(fres_expected_base[i / 1024] - (fres_expected_dec[i / 1024] * (i % 1024) + 1) / 2) << 29;
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return valf;
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}
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} // namespace
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inline void MatrixMul(int n, const float *a, const float *b, float *result)
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