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skia2/bench/MatrixBench.cpp

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/*
* Copyright 2011 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 "SkMatrix.h"
#include "SkMatrixUtils.h"
#include "SkRandom.h"
#include "SkString.h"
class MatrixBench : public SkBenchmark {
SkString fName;
public:
MatrixBench(const char name[]) {
fName.printf("matrix_%s", name);
}
virtual bool isSuitableFor(Backend backend) SK_OVERRIDE {
return backend == kNonRendering_Backend;
}
virtual void performTest() = 0;
protected:
virtual int mulLoopCount() const { return 1; }
virtual const char* onGetName() {
return fName.c_str();
}
virtual void onDraw(const int loops, SkCanvas*) {
for (int i = 0; i < loops; i++) {
this->performTest();
}
}
private:
typedef SkBenchmark INHERITED;
};
class EqualsMatrixBench : public MatrixBench {
public:
EqualsMatrixBench() : INHERITED("equals") {}
protected:
virtual void performTest() {
SkMatrix m0, m1, m2;
m0.reset();
m1.reset();
m2.reset();
// xor into a volatile prevents these comparisons from being optimized away.
volatile bool junk = false;
junk ^= (m0 == m1);
junk ^= (m1 == m2);
junk ^= (m2 == m0);
}
private:
typedef MatrixBench INHERITED;
};
class ScaleMatrixBench : public MatrixBench {
public:
ScaleMatrixBench() : INHERITED("scale") {
fSX = fSY = 1.5f;
fM0.reset();
fM1.setScale(fSX, fSY);
fM2.setTranslate(fSX, fSY);
}
protected:
virtual void performTest() {
SkMatrix m;
m = fM0; m.preScale(fSX, fSY);
m = fM1; m.preScale(fSX, fSY);
m = fM2; m.preScale(fSX, fSY);
}
private:
SkMatrix fM0, fM1, fM2;
SkScalar fSX, fSY;
typedef MatrixBench INHERITED;
};
// having unknown values in our arrays can throw off the timing a lot, perhaps
// handling NaN values is a lot slower. Anyway, this guy is just meant to put
// reasonable values in our arrays.
template <typename T> void init9(T array[9]) {
SkRandom rand;
for (int i = 0; i < 9; i++) {
array[i] = rand.nextSScalar1();
}
}
// Test the performance of setConcat() non-perspective case:
// using floating point precision only.
class FloatConcatMatrixBench : public MatrixBench {
public:
FloatConcatMatrixBench() : INHERITED("concat_floatfloat") {
init9(mya);
init9(myb);
init9(myr);
}
protected:
virtual int mulLoopCount() const { return 4; }
static inline void muladdmul(float a, float b, float c, float d,
float* result) {
*result = a * b + c * d;
}
virtual void performTest() {
const float* a = mya;
const float* b = myb;
float* r = myr;
muladdmul(a[0], b[0], a[1], b[3], &r[0]);
muladdmul(a[0], b[1], a[1], b[4], &r[1]);
muladdmul(a[0], b[2], a[1], b[5], &r[2]);
r[2] += a[2];
muladdmul(a[3], b[0], a[4], b[3], &r[3]);
muladdmul(a[3], b[1], a[4], b[4], &r[4]);
muladdmul(a[3], b[2], a[4], b[5], &r[5]);
r[5] += a[5];
r[6] = r[7] = 0.0f;
r[8] = 1.0f;
}
private:
float mya [9];
float myb [9];
float myr [9];
typedef MatrixBench INHERITED;
};
static inline float SkDoubleToFloat(double x) {
return static_cast<float>(x);
}
// Test the performance of setConcat() non-perspective case:
// using floating point precision but casting up to float for
// intermediate results during computations.
class FloatDoubleConcatMatrixBench : public MatrixBench {
public:
FloatDoubleConcatMatrixBench() : INHERITED("concat_floatdouble") {
init9(mya);
init9(myb);
init9(myr);
}
protected:
virtual int mulLoopCount() const { return 4; }
static inline void muladdmul(float a, float b, float c, float d,
float* result) {
*result = SkDoubleToFloat((double)a * b + (double)c * d);
}
virtual void performTest() {
const float* a = mya;
const float* b = myb;
float* r = myr;
muladdmul(a[0], b[0], a[1], b[3], &r[0]);
muladdmul(a[0], b[1], a[1], b[4], &r[1]);
muladdmul(a[0], b[2], a[1], b[5], &r[2]);
r[2] += a[2];
muladdmul(a[3], b[0], a[4], b[3], &r[3]);
muladdmul(a[3], b[1], a[4], b[4], &r[4]);
muladdmul(a[3], b[2], a[4], b[5], &r[5]);
r[5] += a[5];
r[6] = r[7] = 0.0f;
r[8] = 1.0f;
}
private:
float mya [9];
float myb [9];
float myr [9];
typedef MatrixBench INHERITED;
};
// Test the performance of setConcat() non-perspective case:
// using double precision only.
class DoubleConcatMatrixBench : public MatrixBench {
public:
DoubleConcatMatrixBench() : INHERITED("concat_double") {
init9(mya);
init9(myb);
init9(myr);
}
protected:
virtual int mulLoopCount() const { return 4; }
static inline void muladdmul(double a, double b, double c, double d,
double* result) {
*result = a * b + c * d;
}
virtual void performTest() {
const double* a = mya;
const double* b = myb;
double* r = myr;
muladdmul(a[0], b[0], a[1], b[3], &r[0]);
muladdmul(a[0], b[1], a[1], b[4], &r[1]);
muladdmul(a[0], b[2], a[1], b[5], &r[2]);
r[2] += a[2];
muladdmul(a[3], b[0], a[4], b[3], &r[3]);
muladdmul(a[3], b[1], a[4], b[4], &r[4]);
muladdmul(a[3], b[2], a[4], b[5], &r[5]);
r[5] += a[5];
r[6] = r[7] = 0.0;
r[8] = 1.0;
}
private:
double mya [9];
double myb [9];
double myr [9];
typedef MatrixBench INHERITED;
};
class GetTypeMatrixBench : public MatrixBench {
public:
GetTypeMatrixBench()
: INHERITED("gettype") {
fArray[0] = (float) fRnd.nextS();
fArray[1] = (float) fRnd.nextS();
fArray[2] = (float) fRnd.nextS();
fArray[3] = (float) fRnd.nextS();
fArray[4] = (float) fRnd.nextS();
fArray[5] = (float) fRnd.nextS();
fArray[6] = (float) fRnd.nextS();
fArray[7] = (float) fRnd.nextS();
fArray[8] = (float) fRnd.nextS();
}
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() {
fMatrix.setAll(fArray[0], fArray[1], fArray[2],
fArray[3], fArray[4], fArray[5],
fArray[6], fArray[7], fArray[8]);
// xoring into a volatile prevents the compiler from optimizing these away
volatile int junk = 0;
junk ^= (fMatrix.getType());
fMatrix.dirtyMatrixTypeCache();
junk ^= (fMatrix.getType());
fMatrix.dirtyMatrixTypeCache();
junk ^= (fMatrix.getType());
fMatrix.dirtyMatrixTypeCache();
junk ^= (fMatrix.getType());
fMatrix.dirtyMatrixTypeCache();
junk ^= (fMatrix.getType());
fMatrix.dirtyMatrixTypeCache();
junk ^= (fMatrix.getType());
fMatrix.dirtyMatrixTypeCache();
junk ^= (fMatrix.getType());
fMatrix.dirtyMatrixTypeCache();
junk ^= (fMatrix.getType());
}
private:
SkMatrix fMatrix;
float fArray[9];
SkRandom fRnd;
typedef MatrixBench INHERITED;
};
class ScaleTransMixedMatrixBench : public MatrixBench {
public:
ScaleTransMixedMatrixBench() : INHERITED("scaletrans_mixed") {
fMatrix.setAll(fRandom.nextSScalar1(), fRandom.nextSScalar1(), fRandom.nextSScalar1(),
fRandom.nextSScalar1(), fRandom.nextSScalar1(), fRandom.nextSScalar1(),
fRandom.nextSScalar1(), fRandom.nextSScalar1(), fRandom.nextSScalar1());
int i;
for (i = 0; i < kCount; i++) {
fSrc[i].fX = fRandom.nextSScalar1();
fSrc[i].fY = fRandom.nextSScalar1();
fDst[i].fX = fRandom.nextSScalar1();
fDst[i].fY = fRandom.nextSScalar1();
}
}
protected:
virtual void performTest() {
SkPoint* dst = fDst;
const SkPoint* src = fSrc;
int count = kCount;
float mx = fMatrix[SkMatrix::kMScaleX];
float my = fMatrix[SkMatrix::kMScaleY];
float tx = fMatrix[SkMatrix::kMTransX];
float ty = fMatrix[SkMatrix::kMTransY];
do {
dst->fY = SkScalarMulAdd(src->fY, my, ty);
dst->fX = SkScalarMulAdd(src->fX, mx, tx);
src += 1;
dst += 1;
} while (--count);
}
private:
enum {
kCount = 16
};
SkMatrix fMatrix;
SkPoint fSrc [kCount];
SkPoint fDst [kCount];
SkRandom fRandom;
typedef MatrixBench INHERITED;
};
class ScaleTransDoubleMatrixBench : public MatrixBench {
public:
ScaleTransDoubleMatrixBench() : INHERITED("scaletrans_double") {
init9(fMatrix);
int i;
for (i = 0; i < kCount; i++) {
fSrc[i].fX = fRandom.nextSScalar1();
fSrc[i].fY = fRandom.nextSScalar1();
fDst[i].fX = fRandom.nextSScalar1();
fDst[i].fY = fRandom.nextSScalar1();
}
}
protected:
virtual void performTest() {
SkPoint* dst = fDst;
const SkPoint* src = fSrc;
int count = kCount;
// As doubles, on Z600 Linux systems this is 2.5x as expensive as mixed mode
float mx = (float) fMatrix[SkMatrix::kMScaleX];
float my = (float) fMatrix[SkMatrix::kMScaleY];
float tx = (float) fMatrix[SkMatrix::kMTransX];
float ty = (float) fMatrix[SkMatrix::kMTransY];
do {
dst->fY = src->fY * my + ty;
dst->fX = src->fX * mx + tx;
src += 1;
dst += 1;
} while (--count);
}
private:
enum {
kCount = 16
};
double fMatrix [9];
SkPoint fSrc [kCount];
SkPoint fDst [kCount];
SkRandom fRandom;
typedef MatrixBench INHERITED;
};
class DecomposeMatrixBench : public MatrixBench {
public:
DecomposeMatrixBench() : INHERITED("decompose") {}
protected:
virtual void onPreDraw() {
for (int i = 0; i < 10; ++i) {
SkScalar rot0 = (fRandom.nextBool()) ? fRandom.nextRangeF(-180, 180) : 0.0f;
SkScalar sx = fRandom.nextRangeF(-3000.f, 3000.f);
SkScalar sy = (fRandom.nextBool()) ? fRandom.nextRangeF(-3000.f, 3000.f) : sx;
SkScalar rot1 = fRandom.nextRangeF(-180, 180);
fMatrix[i].setRotate(rot0);
fMatrix[i].postScale(sx, sy);
fMatrix[i].postRotate(rot1);
}
}
virtual void performTest() {
SkPoint rotation1, scale, rotation2;
for (int i = 0; i < 10; ++i) {
(void) SkDecomposeUpper2x2(fMatrix[i], &rotation1, &scale, &rotation2);
}
}
private:
SkMatrix fMatrix[10];
SkRandom fRandom;
typedef MatrixBench INHERITED;
};
class InvertMapRectMatrixBench : public MatrixBench {
public:
InvertMapRectMatrixBench(const char* name, int flags)
: INHERITED(name)
, fFlags(flags) {
fMatrix.reset();
fIteration = 0;
if (flags & kScale_Flag) {
fMatrix.postScale(1.5f, 2.5f);
}
if (flags & kTranslate_Flag) {
fMatrix.postTranslate(1.5f, 2.5f);
}
if (flags & kRotate_Flag) {
fMatrix.postRotate(45.0f);
}
if (flags & kPerspective_Flag) {
fMatrix.setPerspX(1.5f);
fMatrix.setPerspY(2.5f);
}
if (0 == (flags & kUncachedTypeMask_Flag)) {
fMatrix.getType();
}
}
enum Flag {
kScale_Flag = 0x01,
kTranslate_Flag = 0x02,
kRotate_Flag = 0x04,
kPerspective_Flag = 0x08,
kUncachedTypeMask_Flag = 0x10,
};
protected:
virtual void performTest() {
if (fFlags & kUncachedTypeMask_Flag) {
// This will invalidate the typemask without
// changing the matrix.
fMatrix.setPerspX(fMatrix.getPerspX());
}
SkMatrix inv;
bool invertible = fMatrix.invert(&inv);
SkASSERT(invertible);
SkRect transformedRect;
// an arbitrary, small, non-zero rect to transform
SkRect srcRect = SkRect::MakeWH(SkIntToScalar(10), SkIntToScalar(10));
if (invertible) {
inv.mapRect(&transformedRect, srcRect);
}
}
private:
SkMatrix fMatrix;
int fFlags;
unsigned fIteration;
typedef MatrixBench INHERITED;
};
///////////////////////////////////////////////////////////////////////////////
DEF_BENCH( return new EqualsMatrixBench(); )
DEF_BENCH( return new ScaleMatrixBench(); )
DEF_BENCH( return new FloatConcatMatrixBench(); )
DEF_BENCH( return new FloatDoubleConcatMatrixBench(); )
DEF_BENCH( return new DoubleConcatMatrixBench(); )
DEF_BENCH( return new GetTypeMatrixBench(); )
DEF_BENCH( return new DecomposeMatrixBench(); )
DEF_BENCH( return new InvertMapRectMatrixBench("invert_maprect_identity", 0); )
DEF_BENCH(return new InvertMapRectMatrixBench(
"invert_maprect_rectstaysrect",
InvertMapRectMatrixBench::kScale_Flag |
InvertMapRectMatrixBench::kTranslate_Flag); )
DEF_BENCH(return new InvertMapRectMatrixBench(
"invert_maprect_translate",
InvertMapRectMatrixBench::kTranslate_Flag); )
DEF_BENCH(return new InvertMapRectMatrixBench(
"invert_maprect_nonpersp",
InvertMapRectMatrixBench::kScale_Flag |
InvertMapRectMatrixBench::kRotate_Flag |
InvertMapRectMatrixBench::kTranslate_Flag); )
DEF_BENCH( return new InvertMapRectMatrixBench(
"invert_maprect_persp",
InvertMapRectMatrixBench::kPerspective_Flag); )
DEF_BENCH( return new InvertMapRectMatrixBench(
"invert_maprect_typemask_rectstaysrect",
InvertMapRectMatrixBench::kUncachedTypeMask_Flag |
InvertMapRectMatrixBench::kScale_Flag |
InvertMapRectMatrixBench::kTranslate_Flag); )
DEF_BENCH( return new InvertMapRectMatrixBench(
"invert_maprect_typemask_nonpersp",
InvertMapRectMatrixBench::kUncachedTypeMask_Flag |
InvertMapRectMatrixBench::kScale_Flag |
InvertMapRectMatrixBench::kRotate_Flag |
InvertMapRectMatrixBench::kTranslate_Flag); )
DEF_BENCH( return new ScaleTransMixedMatrixBench(); )
DEF_BENCH( return new ScaleTransDoubleMatrixBench(); )
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