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Side by Side Diff: src/opts/Sk2x_neon.h

Issue 1018423003: Sk2x for NEON (Closed) Base URL: https://skia.googlesource.com/skia@master
Patch Set: unused header Created 5 years, 9 months ago
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1 /*
2 * Copyright 2015 Google Inc.
3 *
4 * Use of this source code is governed by a BSD-style license that can be
5 * found in the LICENSE file.
6 */
7
8 // It is important _not_ to put header guards here.
9 // This file will be intentionally included three times.
10
11 #include "SkTypes.h" // Keep this before any #ifdef for skbug.com/3362
12
13 #if defined(SK2X_PREAMBLE)
14 #include <arm_neon.h>
15 #include <math.h>
16 template <typename T> struct SkScalarToSIMD;
17 template <> struct SkScalarToSIMD< float> { typedef float32x2_t Type; };
18 template <> struct SkScalarToSIMD<double> { typedef double Type[2]; };
19
20
21 #elif defined(SK2X_PRIVATE)
22 typename SkScalarToSIMD<T>::Type fVec;
23 /*implicit*/ Sk2x(const typename SkScalarToSIMD<T>::Type vec) { fVec = vec; }
24
25 #else
26
27 #define M(...) template <> inline __VA_ARGS__ Sk2x<float>::
28
29 M() Sk2x() {}
30 M() Sk2x(float val) { fVec = vdup_n_f32(val); }
31 M() Sk2x(float a, float b) {
32 fVec = vset_lane_f32(a, fVec, 0);
33 fVec = vset_lane_f32(b, fVec, 1);
34 }
35 M(Sk2f&) operator=(const Sk2f& o) { fVec = o.fVec; return *this; }
36
37 M(Sk2f) Load(const float vals[2]) { return vld1_f32(vals); }
38 M(void) store(float vals[2]) const { vst1_f32(vals, fVec); }
39
40 M(Sk2f) add(const Sk2f& o) const { return vadd_f32(fVec, o.fVec); }
41 M(Sk2f) subtract(const Sk2f& o) const { return vsub_f32(fVec, o.fVec); }
42 M(Sk2f) multiply(const Sk2f& o) const { return vmul_f32(fVec, o.fVec); }
43
44 M(Sk2f) Min(const Sk2f& a, const Sk2f& b) { return vmin_f32(a.fVec, b.fVec); }
45 M(Sk2f) Max(const Sk2f& a, const Sk2f& b) { return vmax_f32(a.fVec, b.fVec); }
46
47 M(Sk2f) rsqrt() const {
48 float32x2_t est0 = vrsqrte_f32(fVec),
49 est1 = vmul_f32(vrsqrts_f32(fVec, vmul_f32(est0, est0)), est0);
50 return est1;
51 }
52 M(Sk2f) sqrt() const {
53 float32x2_t est1 = this->rsqrt().fVec,
54 // An extra step of Newton's method to refine the estimate of 1/sqrt(this).
55 est2 = vmul_f32(vrsqrts_f32(fVec, vmul_f32(est1, est1)), est1);
56 return vmul_f32(fVec, est2);
57 }
58
59 #undef M
60
61 #define M(...) template <> inline __VA_ARGS__ Sk2x<double>::
62
63 // TODO: #ifdef SK_CPU_ARM64 use float64x2_t for Sk2d.
64
65 M() Sk2x() {}
66 M() Sk2x(double val) { fVec[0] = fVec[1] = val; }
67 M() Sk2x(double a, double b) { fVec[0] = a; fVec[1] = b; }
68 M(Sk2d&) operator=(const Sk2d& o) {
69 fVec[0] = o.fVec[0];
70 fVec[1] = o.fVec[1];
71 return *this;
72 }
73
74 M(Sk2d) Load(const double vals[2]) { return Sk2d(vals[0], vals[1]); }
75 M(void) store(double vals[2]) const { vals[0] = fVec[0]; vals[1] = fVec[1]; }
76
77 M(Sk2d) add(const Sk2d& o) const { return Sk2d(fVec[0] + o.fVec[0], fVec[1] + o.fVec[1]); }
78 M(Sk2d) subtract(const Sk2d& o) const { return Sk2d(fVec[0] - o.fVec[0], fVec[1] - o.fVec[1]); }
79 M(Sk2d) multiply(const Sk2d& o) const { return Sk2d(fVec[0] * o.fVec[0], fVec[1] * o.fVec[1]); }
80
81 M(Sk2d) Min(const Sk2d& a, const Sk2d& b) {
82 return Sk2d(SkTMin(a.fVec[0], b.fVec[0]), SkTMin(a.fVec[1], b.fVec[1]));
83 }
84 M(Sk2d) Max(const Sk2d& a, const Sk2d& b) {
85 return Sk2d(SkTMax(a.fVec[0], b.fVec[0]), SkTMax(a.fVec[1], b.fVec[1]));
86 }
87
88 M(Sk2d) rsqrt() const { return Sk2d(1.0/::sqrt(fVec[0]), 1.0/::sqrt(fVec[1])); }
89 M(Sk2d) sqrt() const { return Sk2d( ::sqrt(fVec[0]), ::sqrt(fVec[1])); }
90
91 #undef M
92
93 #endif
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