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author | Raghuveer Devulapalli <raghuveer.devulapalli@intel.com> | 2021-05-05 14:53:28 -0700 |
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committer | Raghuveer Devulapalli <raghuveer.devulapalli@intel.com> | 2021-05-05 14:53:28 -0700 |
commit | b2191de9ce77441373b3b7265c700ae91283a677 (patch) | |
tree | 6f7d17e58e45fb3a5afce7292828a71333d0a5d5 /numpy | |
parent | bf531216d3b70f28c462e457dcda1795a3c28476 (diff) | |
download | numpy-b2191de9ce77441373b3b7265c700ae91283a677.tar.gz |
BUG: Detect and report underflow condition in AVX implementation of np.exp
Diffstat (limited to 'numpy')
-rw-r--r-- | numpy/core/src/umath/loops_exponent_log.dispatch.c.src | 12 |
1 files changed, 12 insertions, 0 deletions
diff --git a/numpy/core/src/umath/loops_exponent_log.dispatch.c.src b/numpy/core/src/umath/loops_exponent_log.dispatch.c.src index 1dc24b226..291ce4518 100644 --- a/numpy/core/src/umath/loops_exponent_log.dispatch.c.src +++ b/numpy/core/src/umath/loops_exponent_log.dispatch.c.src @@ -465,6 +465,7 @@ simd_exp_FLOAT(npy_float * op, @mask@ xmax_mask, xmin_mask, nan_mask, inf_mask; @mask@ overflow_mask = @isa@_get_partial_load_mask_ps(0, num_lanes); + @mask@ underflow_mask = @isa@_get_partial_load_mask_ps(0, num_lanes); @mask@ load_mask = @isa@_get_full_load_mask_ps(); npy_intp num_remaining_elements = array_size; @@ -491,6 +492,7 @@ simd_exp_FLOAT(npy_float * op, inf_mask = _mm@vsize@_cmp_ps@vsub@(x, inf, _CMP_EQ_OQ); overflow_mask = @or_masks@(overflow_mask, @xor_masks@(xmax_mask, inf_mask)); + underflow_mask = @or_masks@(underflow_mask, xmin_mask); x = @isa@_set_masked_lanes_ps(x, zeros_f, @or_masks@( @or_masks@(nan_mask, xmin_mask), xmax_mask)); @@ -539,6 +541,10 @@ simd_exp_FLOAT(npy_float * op, if (@mask_to_int@(overflow_mask)) { npy_set_floatstatus_overflow(); } + + if (@mask_to_int@(underflow_mask)) { + npy_set_floatstatus_underflow(); + } } /* @@ -740,6 +746,7 @@ AVX512F_exp_DOUBLE(npy_double * op, __m512d mTable_tail_3 = _mm512_loadu_pd(&(EXP_Table_tail[8*3])); __mmask8 overflow_mask = avx512_get_partial_load_mask_pd(0, num_lanes); + __mmask8 underflow_mask = avx512_get_partial_load_mask_pd(0, num_lanes); __mmask8 load_mask = avx512_get_full_load_mask_pd(); __mmask8 xmin_mask, xmax_mask, inf_mask, nan_mask, nearzero_mask; @@ -769,6 +776,7 @@ AVX512F_exp_DOUBLE(npy_double * op, nearzero_mask = _mm512_kxor(nearzero_mask, nan_mask); overflow_mask = _mm512_kor(overflow_mask, _mm512_kxor(xmax_mask, inf_mask)); + underflow_mask = _mm512_kor(underflow_mask, xmax_mask); x = avx512_set_masked_lanes_pd(x, zeros_d, _mm512_kor(_mm512_kor(nan_mask, xmin_mask), _mm512_kor(xmax_mask, nearzero_mask))); @@ -828,6 +836,10 @@ AVX512F_exp_DOUBLE(npy_double * op, if (overflow_mask) { npy_set_floatstatus_overflow(); } + + if (underflow_mask) { + npy_set_floatstatus_underflow(); + } } /* * Vectorized implementation of log double using AVX512 |