I’d like to avoid NaNs in division by evaluating (x + eps) / (y + eps) for a type-dependent number eps. Does torch provide an equivalent to C’s DBL_MIN/FLT_MIN or C++'s std::numeric_limits<T>::min or Numpy’s numpy.finfo(...).tiny? It would ideally be a method of each Tensor class like Tensor.finfo.tiny.