1 files changed, 229 insertions, 0 deletions
diff --git a/bench/MatrixBench.cpp b/bench/MatrixBench.cpp
new file mode 100644
index 0000000..d963bc7
--- /dev/null
+++ b/bench/MatrixBench.cpp
@@ -0,0 +1,229 @@
+#include "SkBenchmark.h"
+#include "SkMatrix.h"
+#include "SkRandom.h"
+#include "SkString.h"
+
+class MatrixBench : public SkBenchmark {
+    SkString    fName;
+    enum { N = 100000 };
+public:
+    MatrixBench(void* param, const char name[]) : INHERITED(param) {
+        fName.printf("matrix_%s", name);
+    }
+
+    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 = N * this->mulLoopCount();
+        for (int i = 0; i < n; i++) {
+            this->performTest();
+        }
+    }
+
+private:
+    typedef SkBenchmark INHERITED;
+};
+
+// we want to stop the compiler from eliminating code that it thinks is a no-op
+// so we have a non-static global we increment, hoping that will convince the
+// compiler to execute everything
+int gMatrixBench_NonStaticGlobal;
+
+#define always_do(pred)                     \
+    do {                                    \
+        if (pred) {                         \
+            ++gMatrixBench_NonStaticGlobal; \
+        }                                   \
+    } while (0)
+
+class EqualsMatrixBench : public MatrixBench {
+public:
+    EqualsMatrixBench(void* param) : INHERITED(param, "equals") {}
+protected:
+    virtual void performTest() {
+        SkMatrix m0, m1, m2;
+
+        m0.reset();
+        m1.reset();
+        m2.reset();
+        always_do(m0 == m1);
+        always_do(m1 == m2);
+        always_do(m2 == m0);
+        always_do(m0.getType());
+        always_do(m1.getType());
+        always_do(m2.getType());
+    }
+private:
+    typedef MatrixBench INHERITED;
+};
+
+class ScaleMatrixBench : public MatrixBench {
+public:
+    ScaleMatrixBench(void* param) : INHERITED(param, "scale") {
+
+        fM0.reset();
+        fM1.setScale(fSX, fSY);
+        fM2.setTranslate(fSX, fSY);
+        fSX = fSY = SkFloatToScalar(1.5f);
+    }
+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(void* p) : INHERITED(p, "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(void* p) : INHERITED(p, "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(void* p) : INHERITED(p, "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;
+};
+
+
+static SkBenchmark* M0(void* p) { return new EqualsMatrixBench(p); }
+static SkBenchmark* M1(void* p) { return new ScaleMatrixBench(p); }
+static SkBenchmark* M2(void* p) { return new FloatConcatMatrixBench(p); }
+static SkBenchmark* M3(void* p) { return new FloatDoubleConcatMatrixBench(p); }
+static SkBenchmark* M4(void* p) { return new DoubleConcatMatrixBench(p); }
+
+static BenchRegistry gReg0(M0);
+static BenchRegistry gReg1(M1);
+static BenchRegistry gReg2(M2);
+static BenchRegistry gReg3(M3);
+static BenchRegistry gReg4(M4);