minimum Class — pytorch Architecture

Source Code

aten/src/ATen/cpu/vec/vec_base.h lines 909–924

template <
    class T,
    typename std::enable_if_t<c10::is_complex<T>::value, int> = 0>
Vectorized<T> inline minimum(const Vectorized<T>& a, const Vectorized<T>& b) {
  Vectorized<T> c;
  for (int i = 0; i != Vectorized<T>::size(); i++) {
    c[i] = (std::abs(a[i]) < std::abs(b[i])) ? a[i] : b[i];
    if (_isnan(a[i])) {
      // If either input is NaN, propagate a NaN.
      // NOTE: The case where b[i] was NaN is handled correctly by the naive
      // ternary operator above.
      c[i] = a[i];
    }
  }
  return c;
}