Refactor Sk2x<T> + Sk4x<T> into SkNf<N,T> and SkNi<N,T>

src/opts/SkNx_neon.h

+/*
+ * Copyright 2015 Google Inc.
+ *
+ * Use of this source code is governed by a BSD-style license that can be
+ * found in the LICENSE file.
+ */
+
+#ifndef SkNx_neon_DEFINED
+#define SkNx_neon_DEFINED
+
+#include <arm_neon.h>
+
+template <>
+class SkNi<2, int32_t> {
+public:
+    SkNi(int32x2_t vec) : fVec(vec) {}
+
+    SkNi() {}
+    bool allTrue() const { return fVec[0] && fVec[1]; }
+    bool anyTrue() const { return fVec[0] || fVec[1]; }
+private:
+    int32x2_t fVec;
+};
+
+template <>
+class SkNi<4, int32_t> {
+public:
+    SkNi(int32x4_t vec) : fVec(vec) {}
+
+    SkNi() {}
+    bool allTrue() const { return fVec[0] && fVec[1] && fVec[2] && fVec[3]; }
+    bool anyTrue() const { return fVec[0] || fVec[1] || fVec[2] || fVec[3]; }
+private:
+    int32x4_t fVec;
+};
+
+template <>
+class SkNf<2, float> {
+    typedef SkNi<2, int32_t> Ni;
+public:
+    SkNf(float32x2_t vec) : fVec(vec) {}
+
+    SkNf() {}
+    explicit SkNf(float val)           : fVec(vdup_n_f32(val)) {}
+    static SkNf Load(const float vals[2]) { return vld1_f32(vals); }
+    SkNf(float a, float b) { fVec = (float32x2_t) { a, b }; }
+
+    void store(float vals[2]) const { vst1_f32(vals, fVec); }
+
+    SkNf approxInvert() const {
+        float32x2_t est0 = vrecpe_f32(fVec),
+                    est1 = vmul_f32(vrecps_f32(est0, fVec), est0);
+        return est1;
+    }
+    SkNf invert() const {
+        float32x2_t est1 = this->approxInvert().fVec,
+                    est2 = vmul_f32(vrecps_f32(est1, fVec), est1);
+        return est2;
+    }
+
+    SkNf operator + (const SkNf& o) const { return vadd_f32(fVec, o.fVec); }
+    SkNf operator - (const SkNf& o) const { return vsub_f32(fVec, o.fVec); }
+    SkNf operator * (const SkNf& o) const { return vmul_f32(fVec, o.fVec); }
+    SkNf operator / (const SkNf& o) const {
+    #if defined(SK_CPU_ARM64)
+        return vdiv_f32(fVec, o.fVec);
+    #else
+        return vmul_f32(fVec, o.invert().fVec);
+    #endif
+    }
+
+    Ni operator == (const SkNf& o) const { return vreinterpret_s32_u32(vceq_f32(fVec, o.fVec)); }
+    Ni operator  < (const SkNf& o) const { return vreinterpret_s32_u32(vclt_f32(fVec, o.fVec)); }
+    Ni operator  > (const SkNf& o) const { return vreinterpret_s32_u32(vcgt_f32(fVec, o.fVec)); }
+    Ni operator <= (const SkNf& o) const { return vreinterpret_s32_u32(vcle_f32(fVec, o.fVec)); }
+    Ni operator >= (const SkNf& o) const { return vreinterpret_s32_u32(vcge_f32(fVec, o.fVec)); }
+    Ni operator != (const SkNf& o) const {
+        return vreinterpret_s32_u32(vmvn_u32(vceq_f32(fVec, o.fVec)));
+    }
+
+    static SkNf Min(const SkNf& l, const SkNf& r) { return vmin_f32(l.fVec, r.fVec); }
+    static SkNf Max(const SkNf& l, const SkNf& r) { return vmax_f32(l.fVec, r.fVec); }
+
+    SkNf rsqrt() const {
+        float32x2_t est0 = vrsqrte_f32(fVec),
+                    est1 = vmul_f32(vrsqrts_f32(fVec, vmul_f32(est0, est0)), est0);
+        return est1;
+    }
+
+    SkNf sqrt() const {
+    #if defined(SK_CPU_ARM64)
+        return vsqrt_f32(fVec);
+    #else
+        float32x2_t est1 = this->rsqrt().fVec,
+        // An extra step of Newton's method to refine the estimate of 1/sqrt(this).
+                    est2 = vmul_f32(vrsqrts_f32(fVec, vmul_f32(est1, est1)), est1);
+        return vmul_f32(fVec, est2);
+    #endif
+    }
+
+    float operator[] (int k) const {
+        SkASSERT(0 <= k && k < 2);
+        return fVec[k];
+    }
+
+private:
+    float32x2_t fVec;
+};
+
+#if defined(SK_CPU_ARM64)
+template <>
+class SkNi<2, int64_t> {
+public:
+    SkNi(int64x2_t vec) : fVec(vec) {}
+
+    SkNi() {}
+    bool allTrue() const { return fVec[0] && fVec[1]; }
+    bool anyTrue() const { return fVec[0] || fVec[1]; }
+private:
+    int64x2_t fVec;
+};
+
+template <>
+class SkNf<2, double> {
+    typedef SkNi<2, int64_t> Ni;
+public:
+    SkNf(float64x2_t vec) : fVec(vec) {}
+
+    SkNf() {}
+    explicit SkNf(double val)           : fVec(vdupq_n_f64(val))  {}
+    static SkNf Load(const double vals[2]) { return vld1q_f64(vals); }
+    SkNf(double a, double b) { fVec = (float64x2_t) { a, b }; }
+
+    void store(double vals[2]) const { vst1q_f64(vals, fVec); }
+
+    SkNf operator + (const SkNf& o) const { return vaddq_f64(fVec, o.fVec); }
+    SkNf operator - (const SkNf& o) const { return vsubq_f64(fVec, o.fVec); }
+    SkNf operator * (const SkNf& o) const { return vmulq_f64(fVec, o.fVec); }
+    SkNf operator / (const SkNf& o) const { return vdivq_f64(fVec, o.fVec); }
+
+    Ni operator == (const SkNf& o) const { return vreinterpretq_s64_u64(vceqq_f64(fVec, o.fVec)); }
+    Ni operator  < (const SkNf& o) const { return vreinterpretq_s64_u64(vcltq_f64(fVec, o.fVec)); }
+    Ni operator  > (const SkNf& o) const { return vreinterpretq_s64_u64(vcgtq_f64(fVec, o.fVec)); }
+    Ni operator <= (const SkNf& o) const { return vreinterpretq_s64_u64(vcleq_f64(fVec, o.fVec)); }
+    Ni operator >= (const SkNf& o) const { return vreinterpretq_s64_u64(vcgeq_f64(fVec, o.fVec)); }
+    Ni operator != (const SkNf& o) const {
+        return vreinterpretq_s64_u32(vmvnq_u32(vreinterpretq_u32_u64(vceqq_f64(fVec, o.fVec))));
+    }
+
+    static SkNf Min(const SkNf& l, const SkNf& r) { return vminq_f64(l.fVec, r.fVec); }
+    static SkNf Max(const SkNf& l, const SkNf& r) { return vmaxq_f64(l.fVec, r.fVec); }
+
+    SkNf  sqrt() const { return vsqrtq_f64(fVec);  }
+    SkNf rsqrt() const {
+        float64x2_t est0 = vrsqrteq_f64(fVec),
+                    est1 = vmulq_f64(vrsqrtsq_f64(fVec, vmulq_f64(est0, est0)), est0);
+        return est1;
+    }
+
+    SkNf approxInvert() const {
+        float64x2_t est0 = vrecpeq_f64(fVec),
+                    est1 = vmulq_f64(vrecpsq_f64(est0, fVec), est0);
+        return est1;
+    }
+
+    SkNf invert() const {
+        float64x2_t est1 = this->approxInvert().fVec,
+                    est2 = vmulq_f64(vrecpsq_f64(est1, fVec), est1),
+                    est3 = vmulq_f64(vrecpsq_f64(est2, fVec), est2);
+        return est3;
+    }
+
+    double operator[] (int k) const {
+        SkASSERT(0 <= k && k < 2);
+        return fVec[k];
+    }
+
+private:
+    float64x2_t fVec;
+};
+#endif//defined(SK_CPU_ARM64)
+
+template <>
+class SkNf<4, float> {
+    typedef SkNi<4, int32_t> Ni;
+public:
+    SkNf(float32x4_t vec) : fVec(vec) {}
+    float32x4_t vec() const { return fVec; }
+
+    SkNf() {}
+    explicit SkNf(float val)           : fVec(vdupq_n_f32(val)) {}
+    static SkNf Load(const float vals[4]) { return vld1q_f32(vals); }
+    SkNf(float a, float b, float c, float d) { fVec = (float32x4_t) { a, b, c, d }; }
+
+    void store(float vals[4]) const { vst1q_f32(vals, fVec); }
+
+    SkNf approxInvert() const {
+        float32x4_t est0 = vrecpeq_f32(fVec),
+                    est1 = vmulq_f32(vrecpsq_f32(est0, fVec), est0);
+        return est1;
+    }
+    SkNf invert() const {
+        float32x4_t est1 = this->approxInvert().fVec,
+                    est2 = vmulq_f32(vrecpsq_f32(est1, fVec), est1);
+        return est2;
+    }
+
+    SkNf operator + (const SkNf& o) const { return vaddq_f32(fVec, o.fVec); }
+    SkNf operator - (const SkNf& o) const { return vsubq_f32(fVec, o.fVec); }
+    SkNf operator * (const SkNf& o) const { return vmulq_f32(fVec, o.fVec); }
+    SkNf operator / (const SkNf& o) const {
+    #if defined(SK_CPU_ARM64)
+        return vdivq_f32(fVec, o.fVec);
+    #else
+        return vmulq_f32(fVec, o.invert().fVec);
+    #endif
+    }
+
+    Ni operator == (const SkNf& o) const { return vreinterpretq_s32_u32(vceqq_f32(fVec, o.fVec)); }
+    Ni operator  < (const SkNf& o) const { return vreinterpretq_s32_u32(vcltq_f32(fVec, o.fVec)); }
+    Ni operator  > (const SkNf& o) const { return vreinterpretq_s32_u32(vcgtq_f32(fVec, o.fVec)); }
+    Ni operator <= (const SkNf& o) const { return vreinterpretq_s32_u32(vcleq_f32(fVec, o.fVec)); }
+    Ni operator >= (const SkNf& o) const { return vreinterpretq_s32_u32(vcgeq_f32(fVec, o.fVec)); }
+    Ni operator != (const SkNf& o) const {
+        return vreinterpretq_s32_u32(vmvnq_u32(vceqq_f32(fVec, o.fVec)));
+    }
+
+    static SkNf Min(const SkNf& l, const SkNf& r) { return vminq_f32(l.fVec, r.fVec); }
+    static SkNf Max(const SkNf& l, const SkNf& r) { return vmaxq_f32(l.fVec, r.fVec); }
+
+    SkNf rsqrt() const {
+        float32x4_t est0 = vrsqrteq_f32(fVec),
+                    est1 = vmulq_f32(vrsqrtsq_f32(fVec, vmulq_f32(est0, est0)), est0);
+        return est1;
+    }
+
+    SkNf sqrt() const {
+    #if defined(SK_CPU_ARM64)
+        return vsqrtq_f32(fVec);
+    #else
+        float32x4_t est1 = this->rsqrt().fVec,
+        // An extra step of Newton's method to refine the estimate of 1/sqrt(this).
+                    est2 = vmulq_f32(vrsqrtsq_f32(fVec, vmulq_f32(est1, est1)), est1);
+        return vmulq_f32(fVec, est2);
+    #endif
+    }
+
+    float operator[] (int k) const {
+        SkASSERT(0 <= k && k < 4);
+        return fVec[k];
+    }
+
+private:
+    float32x4_t fVec;
+};
+
+#endif//SkNx_neon_DEFINED