minimum Class — pytorch Architecture

Source Code

aten/src/ATen/cpu/vec/vec256/vsx/vec256_complex_double_vsx.h lines 573–587

template <>
Vectorized<ComplexDbl> inline minimum(
    const Vectorized<ComplexDbl>& a,
    const Vectorized<ComplexDbl>& b) {
  auto abs_a = a.abs_2_();
  auto abs_b = b.abs_2_();
  // auto mask = _mm256_cmp_ps(abs_a, abs_b, _CMP_GT_OQ);
  // auto min = _mm256_blendv_ps(a, b, mask);
  auto mask = abs_a.elwise_gt(abs_b);
  auto min = Vectorized<ComplexDbl>::elwise_blendv(a, b, mask);
  return min;
  // Exploit the fact that all-ones is a NaN.
  // auto isnan = _mm256_cmp_ps(abs_a, abs_b, _CMP_UNORD_Q);
  // return _mm256_or_ps(min, isnan);
}