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/*
* 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*) {
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); )
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