/* * Copyright 2012 Google Inc. * * Use of this source code is governed by a BSD-style license that can be * found in the LICENSE file. */ #include "SkBenchmark.h" #include "SkMatrix44.h" #include "SkRandom.h" #include "SkString.h" class Matrix44Bench : public SkBenchmark { SkString fName; enum { N = 10000 }; public: Matrix44Bench(void* param, const char name[]) : INHERITED(param) { fName.printf("matrix44_%s", name); fIsRendering = false; } virtual void performTest() = 0; protected: virtual int mulLoopCount() const { return 1; } virtual const char* onGetName() { return fName.c_str(); } virtual void onDraw(SkCanvas* canvas) { int n = SkBENCHLOOP(N * this->mulLoopCount()); for (int i = 0; i < n; i++) { this->performTest(); } } private: typedef SkBenchmark INHERITED; }; class EqualsMatrix44Bench : public Matrix44Bench { public: EqualsMatrix44Bench(void* param) : INHERITED(param, "equals") { fM1.set(0, 0, 0); fM2.set(3, 3, 0); } protected: virtual void performTest() { for (int i = 0; i < 10; ++i) { (void) (fM0 == fM1); (void) (fM1 == fM2); (void) (fM2 == fM0); } } private: SkMatrix44 fM0, fM1, fM2; typedef Matrix44Bench INHERITED; }; class PreScaleMatrix44Bench : public Matrix44Bench { public: PreScaleMatrix44Bench(void* param) : INHERITED(param, "prescale") { fX = fY = fZ = SkDoubleToMScalar(1.5); } protected: virtual void performTest() { fM0.reset(); for (int i = 0; i < 10; ++i) { fM0.preScale(fX, fY, fZ); } } private: SkMatrix44 fM0; SkMScalar fX, fY, fZ; typedef Matrix44Bench INHERITED; }; class InvertMatrix44Bench : public Matrix44Bench { public: InvertMatrix44Bench(void* param) : INHERITED(param, "invert") { fM0.set(0, 0, -1.1); fM0.set(0, 1, 2.1); fM0.set(0, 2, -3.1); fM0.set(0, 3, 4.1); fM0.set(1, 0, 5.1); fM0.set(1, 1, -6.1); fM0.set(1, 2, 7.1); fM0.set(1, 3, 8.1); fM0.set(2, 0, -9.1); fM0.set(2, 1, 10.1); fM0.set(2, 2, 11.1); fM0.set(2, 3, -12.1); fM0.set(3, 0, -13.1); fM0.set(3, 1, 14.1); fM0.set(3, 2, -15.1); fM0.set(3, 3, 16.1); } protected: virtual void performTest() { for (int i = 0; i < 10; ++i) { fM0.invert(&fM1); } } private: SkMatrix44 fM0, fM1; typedef Matrix44Bench INHERITED; }; class PostScaleMatrix44Bench : public Matrix44Bench { public: PostScaleMatrix44Bench(void* param) : INHERITED(param, "postscale") { fX = fY = fZ = SkDoubleToMScalar(1.5); } protected: virtual void performTest() { fM0.reset(); for (int i = 0; i < 10; ++i) { fM0.postScale(fX, fY, fZ); } } private: SkMatrix44 fM0; SkMScalar fX, fY, fZ; typedef Matrix44Bench INHERITED; }; class SetConcatMatrix44Bench : public Matrix44Bench { public: SetConcatMatrix44Bench(void* param) : INHERITED(param, "setconcat") { fX = fY = fZ = SkDoubleToMScalar(1.5); fM1.setScale(fX, fY, fZ); fM2.setTranslate(fX, fY, fZ); } protected: virtual void performTest() { fM0.reset(); // just to normalize this test with prescale/postscale for (int i = 0; i < 10; ++i) { fM0.setConcat(fM1, fM2); } } private: SkMatrix44 fM0, fM1, fM2; SkMScalar fX, fY, fZ; typedef Matrix44Bench INHERITED; }; class GetTypeMatrix44Bench : public Matrix44Bench { public: GetTypeMatrix44Bench(void* param) : INHERITED(param, "gettype") {} protected: // Putting random generation of the matrix inside performTest() // would help us avoid anomalous runs, but takes up 25% or // more of the function time. virtual void performTest() { for (int i = 0; i < 20; ++i) { fMatrix.set(1, 2, 1); // to invalidate the type-cache fMatrix.getType(); } } private: SkMatrix44 fMatrix; typedef Matrix44Bench INHERITED; }; DEF_BENCH( return new EqualsMatrix44Bench(p); ) DEF_BENCH( return new PreScaleMatrix44Bench(p); ) DEF_BENCH( return new PostScaleMatrix44Bench(p); ) DEF_BENCH( return new InvertMatrix44Bench(p); ) DEF_BENCH( return new SetConcatMatrix44Bench(p); ) DEF_BENCH( return new GetTypeMatrix44Bench(p); )