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37 /* PROLOG END TAG zYx                                              */
38 #ifdef __SPU__
39 #ifndef _HYPOTF4_H_
40 #define _HYPOTF4_H_	1
41 
42 #include <spu_intrinsics.h>
43 
44 #include "sqrtf4.h"
45 
46 /*
47  * FUNCTION
48  *  vector float _hypotf4(vector float x, vector float y)
49  *
50  * DESCRIPTION
51  *     The function hypotf4 returns a float vector in which each element is
52  *     the square root of the sum of the squares of the corresponding
53  *     elements of x and y. In other words, each element is sqrt(x^2 + y^2).
54  *
55  *     The purpose of this function is to avoid overflow during
56  *     intermediate calculations, and therefore it is slower than
57  *     simply calcualting sqrt(x^2 + y^2).
58  *
59  *     This function is performed by factoring out the larger of the 2
60  *     input exponents and moving this factor outside of the sqrt calculation.
61  *     This will minimize the possibility of over/underflow when the square
62  *     of the values are calculated. Think of it as normalizing the larger
63  *     input to the range [1,2).
64  *
65  *
66  *  Special Cases:
67  *	- hypot(x, +/-0)              returns |x|
68  *	- hypot(+/- infinity, y)      returns +infinity
69  *	- hypot(+/- infinity, NaN)    returns +infinity
70  *
71  */
72 
73 
_hypotf4(vector float x,vector float y)74 static __inline vector float _hypotf4(vector float x, vector float y)
75 {
76     vector unsigned int emask = spu_splats(0x7F800000u);
77     vector unsigned int mmask = spu_splats(0x007FFFFFu);
78     vector signed int bias  = spu_splats(0x3F800000);
79     vector float inf  = (vec_float4)spu_splats(0x7F800000);
80     vector float onef = spu_splats(1.0f);
81     vector float sbit = spu_splats(-0.0f);
82     vector float max, max_e, max_m;
83     vector float min, min_e, min_m;
84     vector unsigned int xgty;
85     vector float sum;
86     vector float result;
87 
88     /* Only need absolute values for this function */
89     x = spu_andc(x, sbit);
90     y = spu_andc(y, sbit);
91     xgty = spu_cmpgt(x,y);
92 
93     max  = spu_sel(y,x,xgty);
94     min  = spu_sel(x,y,xgty);
95 
96     /* Extract exponents and mantissas */
97     max_e = (vec_float4)spu_and((vec_uint4)max, emask);
98     max_m = (vec_float4)spu_and((vec_uint4)max, mmask);
99     min_e = (vec_float4)spu_and((vec_uint4)min, emask);
100     min_m = (vec_float4)spu_and((vec_uint4)min, mmask);
101 
102     /* Adjust the exponent of the smaller of the 2 input values by
103      * subtracting max_exp from min_exp.
104      */
105     vec_int4 min_e_int = spu_sub((vec_int4)min_e, (vec_int4)max_e);
106     min_e = (vec_float4)spu_add(min_e_int, bias);
107 
108     /* If the new min exponent is too small, just set it to 0. It
109      * wouldn't contribute to the final result in either case.
110      */
111     min_e = spu_sel(min_e, sbit, spu_cmpgt(sbit, min_e));
112 
113     /* Combine new exponents with original mantissas */
114     max = spu_or(onef, max_m);
115     min = spu_or(min_e, min_m);
116 
117     sum = _sqrtf4(spu_madd(max, max, spu_mul(min, min)));
118     sum = spu_mul(max_e, sum);
119 
120     /* Special case: x = +/- infinity */
121     result = spu_sel(sum, inf, spu_cmpeq(x, inf));
122 
123     return result;
124 }
125 
126 #endif /* _HYPOTF4_H_ */
127 #endif /* __SPU__ */
128