diff options
author | 2018-04-03 14:12:50 +0200 | |
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committer | 2018-04-03 14:12:50 +0200 | |
commit | 7b0630315f343422b37f62f40a039c9e725fe9e1 (patch) | |
tree | 1864aa020d7c673e60cca9e2196c011eeb07d161 /Eigen/src | |
parent | 6719409cd92b19acabc4544f9ac5571a2ff9a88f (diff) |
AVX512: fix psqrt and prsqrt
Diffstat (limited to 'Eigen/src')
-rw-r--r-- | Eigen/src/Core/arch/AVX512/MathFunctions.h | 22 |
1 files changed, 8 insertions, 14 deletions
diff --git a/Eigen/src/Core/arch/AVX512/MathFunctions.h b/Eigen/src/Core/arch/AVX512/MathFunctions.h index 399be0ee4..4695fbc81 100644 --- a/Eigen/src/Core/arch/AVX512/MathFunctions.h +++ b/Eigen/src/Core/arch/AVX512/MathFunctions.h @@ -266,8 +266,7 @@ psqrt<Packet16f>(const Packet16f& _x) { // select only the inverse sqrt of positive normal inputs (denormals are // flushed to zero and cause infs as well). __mmask16 non_zero_mask = _mm512_cmp_ps_mask(_x, p16f_flt_min, _CMP_GE_OQ); - Packet16f x = _mm512_mask_blend_ps(non_zero_mask, _mm512_rsqrt14_ps(_x), - _mm512_setzero_ps()); + Packet16f x = _mm512_mask_blend_ps(non_zero_mask, _mm512_setzero_ps(), _mm512_rsqrt14_ps(_x)); // Do a single step of Newton's iteration. x = pmul(x, pmadd(neg_half, pmul(x, x), p16f_one_point_five)); @@ -289,8 +288,7 @@ psqrt<Packet8d>(const Packet8d& _x) { // select only the inverse sqrt of positive normal inputs (denormals are // flushed to zero and cause infs as well). __mmask8 non_zero_mask = _mm512_cmp_pd_mask(_x, p8d_dbl_min, _CMP_GE_OQ); - Packet8d x = _mm512_mask_blend_pd(non_zero_mask, _mm512_rsqrt14_pd(_x), - _mm512_setzero_pd()); + Packet8d x = _mm512_mask_blend_pd(non_zero_mask, _mm512_setzero_pd(), _mm512_rsqrt14_pd(_x)); // Do a first step of Newton's iteration. x = pmul(x, pmadd(neg_half, pmul(x, x), p8d_one_point_five)); @@ -333,20 +331,18 @@ prsqrt<Packet16f>(const Packet16f& _x) { // select only the inverse sqrt of positive normal inputs (denormals are // flushed to zero and cause infs as well). __mmask16 le_zero_mask = _mm512_cmp_ps_mask(_x, p16f_flt_min, _CMP_LT_OQ); - Packet16f x = _mm512_mask_blend_ps(le_zero_mask, _mm512_setzero_ps(), - _mm512_rsqrt14_ps(_x)); + Packet16f x = _mm512_mask_blend_ps(le_zero_mask, _mm512_rsqrt14_ps(_x), _mm512_setzero_ps()); // Fill in NaNs and Infs for the negative/zero entries. __mmask16 neg_mask = _mm512_cmp_ps_mask(_x, _mm512_setzero_ps(), _CMP_LT_OQ); Packet16f infs_and_nans = _mm512_mask_blend_ps( - neg_mask, p16f_nan, - _mm512_mask_blend_ps(le_zero_mask, p16f_inf, _mm512_setzero_ps())); + neg_mask, _mm512_mask_blend_ps(le_zero_mask, _mm512_setzero_ps(), p16f_inf), p16f_nan); // Do a single step of Newton's iteration. x = pmul(x, pmadd(neg_half, pmul(x, x), p16f_one_point_five)); // Insert NaNs and Infs in all the right places. - return _mm512_mask_blend_ps(le_zero_mask, infs_and_nans, x); + return _mm512_mask_blend_ps(le_zero_mask, x, infs_and_nans); } template <> @@ -363,14 +359,12 @@ prsqrt<Packet8d>(const Packet8d& _x) { // select only the inverse sqrt of positive normal inputs (denormals are // flushed to zero and cause infs as well). __mmask8 le_zero_mask = _mm512_cmp_pd_mask(_x, p8d_dbl_min, _CMP_LT_OQ); - Packet8d x = _mm512_mask_blend_pd(le_zero_mask, _mm512_setzero_pd(), - _mm512_rsqrt14_pd(_x)); + Packet8d x = _mm512_mask_blend_pd(le_zero_mask, _mm512_rsqrt14_pd(_x), _mm512_setzero_pd()); // Fill in NaNs and Infs for the negative/zero entries. __mmask8 neg_mask = _mm512_cmp_pd_mask(_x, _mm512_setzero_pd(), _CMP_LT_OQ); Packet8d infs_and_nans = _mm512_mask_blend_pd( - neg_mask, p8d_nan, - _mm512_mask_blend_pd(le_zero_mask, p8d_inf, _mm512_setzero_pd())); + neg_mask, _mm512_mask_blend_pd(le_zero_mask, _mm512_setzero_pd(), p8d_inf), p8d_nan); // Do a first step of Newton's iteration. x = pmul(x, pmadd(neg_half, pmul(x, x), p8d_one_point_five)); @@ -379,7 +373,7 @@ prsqrt<Packet8d>(const Packet8d& _x) { x = pmul(x, pmadd(neg_half, pmul(x, x), p8d_one_point_five)); // Insert NaNs and Infs in all the right places. - return _mm512_mask_blend_pd(le_zero_mask, infs_and_nans, x); + return _mm512_mask_blend_pd(le_zero_mask, x, infs_and_nans); } #else template <> |