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Minor improvement to FakeDataset #4065

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merged 2 commits into from
Feb 11, 2022
Merged

Minor improvement to FakeDataset #4065

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76946ad
node, edge features to vary across labels
arunppsg Feb 11, 2022
0db84ca
minor fix
arunppsg Feb 11, 2022
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17 changes: 10 additions & 7 deletions torch_geometric/datasets/fake.py
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Original file line number Diff line number Diff line change
Expand Up @@ -72,11 +72,19 @@ def generate_data(self) -> Data:

data = Data()

if self._num_classes > 0 and self.task == 'node':
data.y = torch.randint(self._num_classes, (num_nodes, ))
elif self._num_classes > 0 and self.task == 'graph':
data.y = torch.tensor([random.randint(0, self._num_classes - 1)])

data.edge_index = get_edge_index(num_nodes, num_nodes, self.avg_degree,
self.is_undirected, remove_loops=True)

if self.num_channels > 0:
data.x = torch.randn(num_nodes, self.num_channels)
if self.num_channels > 0 and self.task == 'graph':
data.x = torch.randn(num_nodes, self.num_channels) + data.y
elif self.num_channels > 0 and self.task == 'node':
data.x = torch.randn(num_nodes,
self.num_channels) + data.y.unsqueeze(1)
else:
data.num_nodes = num_nodes

Expand All @@ -85,11 +93,6 @@ def generate_data(self) -> Data:
elif self.edge_dim == 1:
data.edge_weight = torch.rand(data.num_edges)

if self._num_classes > 0 and self.task == 'node':
data.y = torch.randint(self._num_classes, (num_nodes, ))
elif self._num_classes > 0 and self.task == 'graph':
data.y = torch.tensor([random.randint(0, self._num_classes - 1)])

return data


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