* -> \*

Author: gouzil

python/paddle/tensor/linalg.py

@@ -3113,11 +3113,11 @@ def lu(
     Returns:
         factorization (Tensor), LU matrix, the factorization of input X.
 
-        pivots (IntTensor), the pivots of size(*(N-2), min(m,n)). `pivots` stores all the
+        pivots (IntTensor), the pivots of size(\*(N-2), min(m,n)). `pivots` stores all the
         intermediate transpositions of rows. The final permutation `perm` could be
         reconstructed by this, details refer to upper example.
 
-        infos (IntTensor, optional), if `get_infos` is `True`, this is a tensor of size (*(N-2))
+        infos (IntTensor, optional), if `get_infos` is `True`, this is a tensor of size (\*(N-2))
         where non-zero values indicate whether factorization for the matrix or each minibatch
         has succeeded or failed.