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Unified Diff: src/opts/SkNx_neon.h

Issue 1048593002: Refactor Sk2x<T> + Sk4x<T> into SkNf<N,T> and SkNi<N,T> (Closed) Base URL: https://skia.googlesource.com/skia.git@master
Patch Set: This is actually faster Created 5 years, 9 months ago
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Index: src/opts/SkNx_neon.h
diff --git a/src/opts/SkNx_neon.h b/src/opts/SkNx_neon.h
new file mode 100644
index 0000000000000000000000000000000000000000..01ea67c5d7a2211ddf8612d2b68e1cec0d022999
--- /dev/null
+++ b/src/opts/SkNx_neon.h
@@ -0,0 +1,257 @@
+/*
+ * 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
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