typo

README.md

@@ -191,7 +191,7 @@ torch_sparse.spspmm(indexA, valueA, indexB, valueB, m, k, n) -> (torch.LongTenso
 ```
 
 Matrix product of two sparse tensors.
-Both input sparse matrices need to be **coalesced** (use the `coalesce` attribute to force).
+Both input sparse matrices need to be **coalesced** (use the `coalesced` attribute to force).
 
 ### Parameters
 

torch_sparse/spspmm.py

@@ -9,7 +9,7 @@ if torch.cuda.is_available():
 
 def spspmm(indexA, valueA, indexB, valueB, m, k, n, coalesced=False):
     """Matrix product of two sparse tensors. Both input sparse matrices need to
-    be coalesced (use the :obj:`coalesce` attribute to force).
+    be coalesced (use the :obj:`coalesced` attribute to force).
 
     Args:
         indexA (:class:`LongTensor`): The index tensor of first sparse matrix.