positive-definite matrix, then "info" stores a positive integer for
   the corresponding matrix. The positive integer indicates the order
   of the leading minor that is not positive-definite, and the
   decomposition could not be completed. "info" filled with zeros
   indicates that the decomposition was successful. If
   "check_errors=True" and "info" contains positive integers, then a
   RuntimeError is thrown.
Note:
 When the inputs are on a CUDA device, this function synchronizes
 only when "check_errors"*= True*.

Warning:
 This function is "experimental" and it may change in a future
 PyTorch release.

See also:
 "torch.linalg.cholesky()" is a NumPy compatible variant that
 always checks for errors.

Parameters:
      A (Tensor) -- the Hermitian n times n matrix or the
      batch of such matrices of size (, n, n)* where *** is one or
      more batch dimensions.
Keyword Arguments: