blob: f10870c1432885159621a2477cd66a49ed00147a [file] [log] [blame]
reed@google.com7d683352012-12-03 21:19:52 +00001/*
2 * Copyright 2012 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#include "SkBenchmark.h"
9#include "SkMatrix44.h"
10#include "SkRandom.h"
11#include "SkString.h"
12
13class Matrix44Bench : public SkBenchmark {
14 SkString fName;
15 enum { N = 10000 };
16public:
17 Matrix44Bench(void* param, const char name[]) : INHERITED(param) {
18 fName.printf("matrix44_%s", name);
19 fIsRendering = false;
20 }
21
22 virtual void performTest() = 0;
23
24protected:
25 virtual int mulLoopCount() const { return 1; }
26
27 virtual const char* onGetName() {
28 return fName.c_str();
29 }
30
31 virtual void onDraw(SkCanvas* canvas) {
32 int n = SkBENCHLOOP(N * this->mulLoopCount());
33 for (int i = 0; i < n; i++) {
34 this->performTest();
35 }
36 }
37
38private:
39 typedef SkBenchmark INHERITED;
40};
41
42class EqualsMatrix44Bench : public Matrix44Bench {
43public:
44 EqualsMatrix44Bench(void* param) : INHERITED(param, "equals") {
45 fM1.set(0, 0, 0);
46 fM2.set(3, 3, 0);
47 }
48protected:
49 virtual void performTest() {
50 for (int i = 0; i < 10; ++i) {
51 fM0 == fM1;
52 fM1 == fM2;
53 fM2 == fM0;
54 }
55 }
56private:
57 SkMatrix44 fM0, fM1, fM2;
58 typedef Matrix44Bench INHERITED;
59};
60
61class PreScaleMatrix44Bench : public Matrix44Bench {
62public:
63 PreScaleMatrix44Bench(void* param) : INHERITED(param, "prescale") {
64 fX = fY = fZ = SkDoubleToMScalar(1.5);
65 }
66protected:
67 virtual void performTest() {
68 fM0.reset();
69 for (int i = 0; i < 10; ++i) {
70 fM0.preScale(fX, fY, fZ);
71 }
72 }
73private:
74 SkMatrix44 fM0;
75 SkMScalar fX, fY, fZ;
76 typedef Matrix44Bench INHERITED;
77};
78
79class PostScaleMatrix44Bench : public Matrix44Bench {
80public:
81 PostScaleMatrix44Bench(void* param) : INHERITED(param, "postscale") {
82 fX = fY = fZ = SkDoubleToMScalar(1.5);
83 }
84protected:
85 virtual void performTest() {
86 fM0.reset();
87 for (int i = 0; i < 10; ++i) {
88 fM0.postScale(fX, fY, fZ);
89 }
90 }
91private:
92 SkMatrix44 fM0;
93 SkMScalar fX, fY, fZ;
94 typedef Matrix44Bench INHERITED;
95};
96
97class SetConcatMatrix44Bench : public Matrix44Bench {
98public:
99 SetConcatMatrix44Bench(void* param) : INHERITED(param, "setconcat") {
100 fX = fY = fZ = SkDoubleToMScalar(1.5);
101 fM1.setScale(fX, fY, fZ);
102 fM2.setTranslate(fX, fY, fZ);
103 }
104protected:
105 virtual void performTest() {
106 fM0.reset(); // just to normalize this test with prescale/postscale
107 for (int i = 0; i < 10; ++i) {
108 fM0.setConcat(fM1, fM2);
109 }
110 }
111private:
112 SkMatrix44 fM0, fM1, fM2;
113 SkMScalar fX, fY, fZ;
114 typedef Matrix44Bench INHERITED;
115};
116
117class GetTypeMatrix44Bench : public Matrix44Bench {
118public:
119 GetTypeMatrix44Bench(void* param) : INHERITED(param, "gettype") {}
120protected:
121 // Putting random generation of the matrix inside performTest()
122 // would help us avoid anomalous runs, but takes up 25% or
123 // more of the function time.
124 virtual void performTest() {
125 for (int i = 0; i < 20; ++i) {
126 fMatrix.set(1, 2, 1); // to invalidate the type-cache
127 fMatrix.getType();
128 }
129 }
130private:
131 SkMatrix44 fMatrix;
132 typedef Matrix44Bench INHERITED;
133};
134
135DEF_BENCH( return new EqualsMatrix44Bench(p); )
136DEF_BENCH( return new PreScaleMatrix44Bench(p); )
137DEF_BENCH( return new PostScaleMatrix44Bench(p); )
138DEF_BENCH( return new SetConcatMatrix44Bench(p); )
139DEF_BENCH( return new GetTypeMatrix44Bench(p); )
140