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[DeprecationWarning] Fixing multiple warnings related to the conversion of arrays with ndim > 0 to scalars. #7863

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[DeprecationWarning] Fixing multiple warnings related to the conversion of arrays with ndim > 0 to scalars. #7863

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5c30d1d
Fixing multiple warnings related to the conversion of arrays with ndi…
drivanov Jan 29, 2025
4197832
Fixing multiple warnings related to the conversion of arrays with ndi…
drivanov Jan 30, 2025
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4 changes: 2 additions & 2 deletions python/dgl/nn/pytorch/explain/subgraphx.py
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Original file line number Diff line number Diff line change
Expand Up @@ -145,7 +145,7 @@ def shapley(self, subgraph_nodes):
device = self.feat.device
for _ in range(self.shapley_steps):
permuted_space = np.random.permutation(coalition_space)
split_idx = int(np.where(permuted_space == split_point)[0])
split_idx = int(np.where(permuted_space == split_point)[0][0])

selected_nodes = permuted_space[:split_idx]

Expand Down Expand Up @@ -490,7 +490,7 @@ def shapley(self, subgraph_nodes):
selected_node_map = dict()
for ntype, nodes in coalition_space.items():
permuted_space = np.random.permutation(nodes)
split_idx = int(np.where(permuted_space == split_point)[0])
split_idx = int(np.where(permuted_space == split_point)[0][0])
selected_node_map[ntype] = permuted_space[:split_idx]

# Mask for coalition set S_i
Expand Down
4 changes: 2 additions & 2 deletions python/dgl/utils/data.py
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Expand Up @@ -94,7 +94,7 @@ def networkx2tensor(nx_graph, idtype, edge_id_attr_name=None):
src = [0] * num_edges
dst = [0] * num_edges
for u, v, attr in nx_graph.edges(data=True):
eid = int(attr[edge_id_attr_name])
eid = int(attr[edge_id_attr_name][0])
if eid < 0 or eid >= nx_graph.number_of_edges():
raise DGLError(
"Expect edge IDs to be a non-negative integer smaller than {:d}, "
Expand Down Expand Up @@ -278,7 +278,7 @@ def networkxbipartite2tensors(
"Expect the node {} to have attribute bipartite=1 "
"with edge {}".format(v, (u, v))
)
eid = int(attr[edge_id_attr_name])
eid = int(attr[edge_id_attr_name][0])
if eid < 0 or eid >= nx_graph.number_of_edges():
raise DGLError(
"Expect edge IDs to be a non-negative integer smaller than {:d}, "
Expand Down