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Diffstat (limited to 'Eigen/src/Core/arch/SSE/MathFunctions.h')
-rw-r--r--Eigen/src/Core/arch/SSE/MathFunctions.h121
1 files changed, 104 insertions, 17 deletions
diff --git a/Eigen/src/Core/arch/SSE/MathFunctions.h b/Eigen/src/Core/arch/SSE/MathFunctions.h
index d16f30bb0..7b5f948e1 100644
--- a/Eigen/src/Core/arch/SSE/MathFunctions.h
+++ b/Eigen/src/Core/arch/SSE/MathFunctions.h
@@ -32,7 +32,7 @@ Packet4f plog<Packet4f>(const Packet4f& _x)
/* the smallest non denormalized float number */
_EIGEN_DECLARE_CONST_Packet4f_FROM_INT(min_norm_pos, 0x00800000);
_EIGEN_DECLARE_CONST_Packet4f_FROM_INT(minus_inf, 0xff800000);//-1.f/0.f);
-
+
/* natural logarithm computed for 4 simultaneous float
return NaN for x <= 0
*/
@@ -63,7 +63,7 @@ Packet4f plog<Packet4f>(const Packet4f& _x)
x = _mm_or_ps(x, p4f_half);
emm0 = _mm_sub_epi32(emm0, p4i_0x7f);
- Packet4f e = padd(_mm_cvtepi32_ps(emm0), p4f_1);
+ Packet4f e = padd(Packet4f(_mm_cvtepi32_ps(emm0)), p4f_1);
/* part2:
if( x < SQRTHF ) {
@@ -72,9 +72,9 @@ Packet4f plog<Packet4f>(const Packet4f& _x)
} else { x = x - 1.0; }
*/
Packet4f mask = _mm_cmplt_ps(x, p4f_cephes_SQRTHF);
- Packet4f tmp = _mm_and_ps(x, mask);
+ Packet4f tmp = pand(x, mask);
x = psub(x, p4f_1);
- e = psub(e, _mm_and_ps(p4f_1, mask));
+ e = psub(e, pand(p4f_1, mask));
x = padd(x, tmp);
Packet4f x2 = pmul(x,x);
@@ -126,7 +126,7 @@ Packet4f pexp<Packet4f>(const Packet4f& _x)
_EIGEN_DECLARE_CONST_Packet4f(cephes_exp_p4, 1.6666665459E-1f);
_EIGEN_DECLARE_CONST_Packet4f(cephes_exp_p5, 5.0000001201E-1f);
- Packet4f tmp = _mm_setzero_ps(), fx;
+ Packet4f tmp, fx;
Packet4i emm0;
// clamp x
@@ -195,7 +195,7 @@ Packet2d pexp<Packet2d>(const Packet2d& _x)
_EIGEN_DECLARE_CONST_Packet2d(cephes_exp_C2, 1.42860682030941723212e-6);
static const __m128i p4i_1023_0 = _mm_setr_epi32(1023, 1023, 0, 0);
- Packet2d tmp = _mm_setzero_pd(), fx;
+ Packet2d tmp, fx;
Packet4i emm0;
// clamp x
@@ -279,7 +279,7 @@ Packet4f psin<Packet4f>(const Packet4f& _x)
_EIGEN_DECLARE_CONST_Packet4f(coscof_p2, 4.166664568298827E-002f);
_EIGEN_DECLARE_CONST_Packet4f(cephes_FOPI, 1.27323954473516f); // 4 / M_PI
- Packet4f xmm1, xmm2 = _mm_setzero_ps(), xmm3, sign_bit, y;
+ Packet4f xmm1, xmm2, xmm3, sign_bit, y;
Packet4i emm0, emm2;
sign_bit = x;
@@ -378,7 +378,7 @@ Packet4f pcos<Packet4f>(const Packet4f& _x)
_EIGEN_DECLARE_CONST_Packet4f(coscof_p2, 4.166664568298827E-002f);
_EIGEN_DECLARE_CONST_Packet4f(cephes_FOPI, 1.27323954473516f); // 4 / M_PI
- Packet4f xmm1, xmm2 = _mm_setzero_ps(), xmm3, y;
+ Packet4f xmm1, xmm2, xmm3, y;
Packet4i emm0, emm2;
x = pabs(x);
@@ -444,32 +444,119 @@ Packet4f pcos<Packet4f>(const Packet4f& _x)
#if EIGEN_FAST_MATH
-// This is based on Quake3's fast inverse square root.
+// Functions for sqrt.
+// The EIGEN_FAST_MATH version uses the _mm_rsqrt_ps approximation and one step
+// of Newton's method, at a cost of 1-2 bits of precision as opposed to the
+// exact solution. It does not handle +inf, or denormalized numbers correctly.
+// The main advantage of this approach is not just speed, but also the fact that
+// it can be inlined and pipelined with other computations, further reducing its
+// effective latency. This is similar to Quake3's fast inverse square root.
// For detail see here: http://www.beyond3d.com/content/articles/8/
-// It lacks 1 (or 2 bits in some rare cases) of precision, and does not handle negative, +inf, or denormalized numbers correctly.
template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
Packet4f psqrt<Packet4f>(const Packet4f& _x)
{
Packet4f half = pmul(_x, pset1<Packet4f>(.5f));
+ Packet4f denormal_mask = _mm_and_ps(
+ _mm_cmpge_ps(_x, _mm_setzero_ps()),
+ _mm_cmplt_ps(_x, pset1<Packet4f>((std::numeric_limits<float>::min)())));
- /* select only the inverse sqrt of non-zero inputs */
- Packet4f non_zero_mask = _mm_cmpge_ps(_x, pset1<Packet4f>((std::numeric_limits<float>::min)()));
- Packet4f x = _mm_and_ps(non_zero_mask, _mm_rsqrt_ps(_x));
-
+ // Compute approximate reciprocal sqrt.
+ Packet4f x = _mm_rsqrt_ps(_x);
+ // Do a single step of Newton's iteration.
x = pmul(x, psub(pset1<Packet4f>(1.5f), pmul(half, pmul(x,x))));
- return pmul(_x,x);
+ // Flush results for denormals to zero.
+ return _mm_andnot_ps(denormal_mask, pmul(_x,x));
}
#else
-template<> EIGEN_STRONG_INLINE Packet4f psqrt<Packet4f>(const Packet4f& x) { return _mm_sqrt_ps(x); }
+template<>EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet4f psqrt<Packet4f>(const Packet4f& x) { return _mm_sqrt_ps(x); }
+
+#endif
+
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet2d psqrt<Packet2d>(const Packet2d& x) { return _mm_sqrt_pd(x); }
+
+#if EIGEN_FAST_MATH
+
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet4f prsqrt<Packet4f>(const Packet4f& _x) {
+ _EIGEN_DECLARE_CONST_Packet4f_FROM_INT(inf, 0x7f800000);
+ _EIGEN_DECLARE_CONST_Packet4f_FROM_INT(nan, 0x7fc00000);
+ _EIGEN_DECLARE_CONST_Packet4f(one_point_five, 1.5f);
+ _EIGEN_DECLARE_CONST_Packet4f(minus_half, -0.5f);
+ _EIGEN_DECLARE_CONST_Packet4f_FROM_INT(flt_min, 0x00800000);
+
+ Packet4f neg_half = pmul(_x, p4f_minus_half);
+
+ // select only the inverse sqrt of positive normal inputs (denormals are
+ // flushed to zero and cause infs as well).
+ Packet4f le_zero_mask = _mm_cmple_ps(_x, p4f_flt_min);
+ Packet4f x = _mm_andnot_ps(le_zero_mask, _mm_rsqrt_ps(_x));
+
+ // Fill in NaNs and Infs for the negative/zero entries.
+ Packet4f neg_mask = _mm_cmplt_ps(_x, _mm_setzero_ps());
+ Packet4f zero_mask = _mm_andnot_ps(neg_mask, le_zero_mask);
+ Packet4f infs_and_nans = _mm_or_ps(_mm_and_ps(neg_mask, p4f_nan),
+ _mm_and_ps(zero_mask, p4f_inf));
+
+ // Do a single step of Newton's iteration.
+ x = pmul(x, pmadd(neg_half, pmul(x, x), p4f_one_point_five));
+
+ // Insert NaNs and Infs in all the right places.
+ return _mm_or_ps(x, infs_and_nans);
+}
+
+#else
+
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet4f prsqrt<Packet4f>(const Packet4f& x) {
+ // Unfortunately we can't use the much faster mm_rqsrt_ps since it only provides an approximation.
+ return _mm_div_ps(pset1<Packet4f>(1.0f), _mm_sqrt_ps(x));
+}
#endif
-template<> EIGEN_STRONG_INLINE Packet2d psqrt<Packet2d>(const Packet2d& x) { return _mm_sqrt_pd(x); }
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet2d prsqrt<Packet2d>(const Packet2d& x) {
+ // Unfortunately we can't use the much faster mm_rqsrt_pd since it only provides an approximation.
+ return _mm_div_pd(pset1<Packet2d>(1.0), _mm_sqrt_pd(x));
+}
+
+// Hyperbolic Tangent function.
+template <>
+EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED Packet4f
+ptanh<Packet4f>(const Packet4f& x) {
+ return internal::generic_fast_tanh_float(x);
+}
} // end namespace internal
+namespace numext {
+
+template<>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+float sqrt(const float &x)
+{
+ return internal::pfirst(internal::Packet4f(_mm_sqrt_ss(_mm_set_ss(x))));
+}
+
+template<>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+double sqrt(const double &x)
+{
+#if EIGEN_COMP_GNUC_STRICT
+ // This works around a GCC bug generating poor code for _mm_sqrt_pd
+ // See https://bitbucket.org/eigen/eigen/commits/14f468dba4d350d7c19c9b93072e19f7b3df563b
+ return internal::pfirst(internal::Packet2d(__builtin_ia32_sqrtsd(_mm_set_sd(x))));
+#else
+ return internal::pfirst(internal::Packet2d(_mm_sqrt_pd(_mm_set_sd(x))));
+#endif
+}
+
+} // end namespace numex
+
} // end namespace Eigen
#endif // EIGEN_MATH_FUNCTIONS_SSE_H