removed self loops in graclus

setup.py

@@ -2,7 +2,7 @@
 
 from setuptools import setup, find_packages
 
-__version__ = '1.0.1'
+__version__ = '1.0.2'
 url = 'https://github.com/rusty1s/pytorch_cluster'
 
 install_requires = ['cffi']

torch_cluster/__init__.py

@@ -1,6 +1,6 @@
 from .graclus import graclus_cluster
 from .grid import grid_cluster
 
-__version__ = '1.0.1'
+__version__ = '1.0.2'
 
 __all__ = ['graclus_cluster', 'grid_cluster', '__version__']

torch_cluster/graclus.py

@@ -1,3 +1,4 @@
+from .utils.loop import remove_self_loops
 from .utils.perm import randperm, sort_row, randperm_sort_row
 from .utils.ffi import graclus
 
@@ -19,7 +20,6 @@ def graclus_cluster(row, col, weight=None, num_nodes=None):
         >>> weight = torch.Tensor([1, 1, 1, 1])
         >>> cluster = graclus_cluster(row, col, weight)
     """
-
     num_nodes = row.max() + 1 if num_nodes is None else num_nodes
 
     if row.is_cuda:  # pragma: no cover
@@ -28,6 +28,7 @@ def graclus_cluster(row, col, weight=None, num_nodes=None):
         row, col = randperm(row, col)
         row, col = randperm_sort_row(row, col, num_nodes)
 
+    row, col = remove_self_loops(row, col)
     cluster = row.new(num_nodes)
     graclus(cluster, row, col, weight)
 

torch_cluster/utils/loop.py

@@ -0,0 +1,3 @@
+def remove_self_loops(row, col):
+    mask = row != col
+    return row[mask], col[mask]