[Type Hints] nn.DiffGroupNorm (#5757)

…roup_distance_ratio

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Jinu Sunil <jinu.sunil@gmail.com>
Co-authored-by: Matthias Fey <matthias.fey@tu-dortmund.de>

CHANGELOG.md

@@ -46,7 +46,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Support `in_channels` with `tuple` in `GENConv` for bipartite message passing ([#5627](https://github.com/pyg-team/pytorch_geometric/pull/5627), [#5641](https://github.com/pyg-team/pytorch_geometric/pull/5641))
 - Handle cases of not having enough possible negative edges in `RandomLinkSplit` ([#5642](https://github.com/pyg-team/pytorch_geometric/pull/5642))
 - Fix `RGCN+pyg-lib` for `LongTensor` input ([#5610](https://github.com/pyg-team/pytorch_geometric/pull/5610))
-- Improved type hint support ([#5603](https://github.com/pyg-team/pytorch_geometric/pull/5603), [#5659](https://github.com/pyg-team/pytorch_geometric/pull/5659), [#5664](https://github.com/pyg-team/pytorch_geometric/pull/5664), [#5665](https://github.com/pyg-team/pytorch_geometric/pull/5665), [#5666](https://github.com/pyg-team/pytorch_geometric/pull/5666), [#5667](https://github.com/pyg-team/pytorch_geometric/pull/5667), [#5668](https://github.com/pyg-team/pytorch_geometric/pull/5668), [#5669](https://github.com/pyg-team/pytorch_geometric/pull/5669), [#5673](https://github.com/pyg-team/pytorch_geometric/pull/5673), [#5675](https://github.com/pyg-team/pytorch_geometric/pull/5675), [#5673](https://github.com/pyg-team/pytorch_geometric/pull/5676), [#5678](https://github.com/pyg-team/pytorch_geometric/pull/5678), [#5682](https://github.com/pyg-team/pytorch_geometric/pull/5682), [#5683](https://github.com/pyg-team/pytorch_geometric/pull/5683), [#5684](https://github.com/pyg-team/pytorch_geometric/pull/5684), [#5685](https://github.com/pyg-team/pytorch_geometric/pull/5685), [#5687](https://github.com/pyg-team/pytorch_geometric/pull/5687), [#5688](https://github.com/pyg-team/pytorch_geometric/pull/5688), [#5695](https://github.com/pyg-team/pytorch_geometric/pull/5695), [#5699](https://github.com/pyg-team/pytorch_geometric/pull/5699), [#5701](https://github.com/pyg-team/pytorch_geometric/pull/5701), [#5702](https://github.com/pyg-team/pytorch_geometric/pull/5702), [#5703](https://github.com/pyg-team/pytorch_geometric/pull/5703), [#5706](https://github.com/pyg-team/pytorch_geometric/pull/5706), [#5707](https://github.com/pyg-team/pytorch_geometric/pull/5707), [#5710](https://github.com/pyg-team/pytorch_geometric/pull/5710), [#5714](https://github.com/pyg-team/pytorch_geometric/pull/5714), [#5715](https://github.com/pyg-team/pytorch_geometric/pull/5715), [#5722](https://github.com/pyg-team/pytorch_geometric/pull/5722), [#5725](https://github.com/pyg-team/pytorch_geometric/pull/5725), [#5726](https://github.com/pyg-team/pytorch_geometric/pull/5726), [#5729](https://github.com/pyg-team/pytorch_geometric/pull/5729), [#5730](https://github.com/pyg-team/pytorch_geometric/pull/5730), [#5732](https://github.com/pyg-team/pytorch_geometric/pull/5732), [#5733](https://github.com/pyg-team/pytorch_geometric/pull/5733), [#5743](https://github.com/pyg-team/pytorch_geometric/pull/5743), [#5734](https://github.com/pyg-team/pytorch_geometric/pull/5734), [#5735](https://github.com/pyg-team/pytorch_geometric/pull/5735),  [#5736](https://github.com/pyg-team/pytorch_geometric/pull/5736), [#5737](https://github.com/pyg-team/pytorch_geometric/pull/5737), [#5747](https://github.com/pyg-team/pytorch_geometric/pull/5747), [#5752](https://github.com/pyg-team/pytorch_geometric/pull/5752), [#5753](https://github.com/pyg-team/pytorch_geometric/pull/5753), [#5760](https://github.com/pyg-team/pytorch_geometric/pull/5760), [#5754](https://github.com/pyg-team/pytorch_geometric/pull/5754))
+- Improved type hint support ([#5603](https://github.com/pyg-team/pytorch_geometric/pull/5603), [#5659](https://github.com/pyg-team/pytorch_geometric/pull/5659), [#5664](https://github.com/pyg-team/pytorch_geometric/pull/5664), [#5665](https://github.com/pyg-team/pytorch_geometric/pull/5665), [#5666](https://github.com/pyg-team/pytorch_geometric/pull/5666), [#5667](https://github.com/pyg-team/pytorch_geometric/pull/5667), [#5668](https://github.com/pyg-team/pytorch_geometric/pull/5668), [#5669](https://github.com/pyg-team/pytorch_geometric/pull/5669), [#5673](https://github.com/pyg-team/pytorch_geometric/pull/5673), [#5675](https://github.com/pyg-team/pytorch_geometric/pull/5675), [#5673](https://github.com/pyg-team/pytorch_geometric/pull/5676), [#5678](https://github.com/pyg-team/pytorch_geometric/pull/5678), [#5682](https://github.com/pyg-team/pytorch_geometric/pull/5682), [#5683](https://github.com/pyg-team/pytorch_geometric/pull/5683), [#5684](https://github.com/pyg-team/pytorch_geometric/pull/5684), [#5685](https://github.com/pyg-team/pytorch_geometric/pull/5685), [#5687](https://github.com/pyg-team/pytorch_geometric/pull/5687), [#5688](https://github.com/pyg-team/pytorch_geometric/pull/5688), [#5695](https://github.com/pyg-team/pytorch_geometric/pull/5695), [#5699](https://github.com/pyg-team/pytorch_geometric/pull/5699), [#5701](https://github.com/pyg-team/pytorch_geometric/pull/5701), [#5702](https://github.com/pyg-team/pytorch_geometric/pull/5702), [#5703](https://github.com/pyg-team/pytorch_geometric/pull/5703), [#5706](https://github.com/pyg-team/pytorch_geometric/pull/5706), [#5707](https://github.com/pyg-team/pytorch_geometric/pull/5707), [#5710](https://github.com/pyg-team/pytorch_geometric/pull/5710), [#5714](https://github.com/pyg-team/pytorch_geometric/pull/5714), [#5715](https://github.com/pyg-team/pytorch_geometric/pull/5715), [#5722](https://github.com/pyg-team/pytorch_geometric/pull/5722), [#5725](https://github.com/pyg-team/pytorch_geometric/pull/5725), [#5726](https://github.com/pyg-team/pytorch_geometric/pull/5726), [#5729](https://github.com/pyg-team/pytorch_geometric/pull/5729), [#5730](https://github.com/pyg-team/pytorch_geometric/pull/5730), [#5732](https://github.com/pyg-team/pytorch_geometric/pull/5732), [#5733](https://github.com/pyg-team/pytorch_geometric/pull/5733), [#5743](https://github.com/pyg-team/pytorch_geometric/pull/5743), [#5734](https://github.com/pyg-team/pytorch_geometric/pull/5734), [#5735](https://github.com/pyg-team/pytorch_geometric/pull/5735),  [#5736](https://github.com/pyg-team/pytorch_geometric/pull/5736), [#5737](https://github.com/pyg-team/pytorch_geometric/pull/5737), [#5747](https://github.com/pyg-team/pytorch_geometric/pull/5747), [#5752](https://github.com/pyg-team/pytorch_geometric/pull/5752), [#5753](https://github.com/pyg-team/pytorch_geometric/pull/5753), [#5760](https://github.com/pyg-team/pytorch_geometric/pull/5760), [#5754](https://github.com/pyg-team/pytorch_geometric/pull/5754), [#5757](https://github.com/pyg-team/pytorch_geometric/pull/5757))
 - Avoid modifying `mode_kwargs` in `MultiAggregation` ([#5601](https://github.com/pyg-team/pytorch_geometric/pull/5601))
 - Changed `BatchNorm` to allow for batches of size one during training ([#5530](https://github.com/pyg-team/pytorch_geometric/pull/5530), [#5614](https://github.com/pyg-team/pytorch_geometric/pull/5614))
 - Integrated better temporal sampling support by requiring that local neighborhoods are sorted according to time ([#5516](https://github.com/pyg-team/pytorch_geometric/issues/5516), [#5602](https://github.com/pyg-team/pytorch_geometric/issues/5602))

test/nn/norm/test_diff_group_norm.py

@@ -32,3 +32,7 @@ def test_group_distance_ratio():
     y = torch.tensor([0, 1, 0, 1, 1, 1])
 
     assert DiffGroupNorm.group_distance_ratio(x, y) > 0
+
+    if is_full_test():
+        jit = torch.jit.script(DiffGroupNorm.group_distance_ratio)
+        assert jit(x, y) > 0

torch_geometric/nn/norm/diff_group_norm.py

@@ -40,8 +40,16 @@ class DiffGroupNorm(torch.nn.Module):
             uses batch statistics in both training and eval modes.
             (default: :obj:`True`)
     """
-    def __init__(self, in_channels, groups, lamda=0.01, eps=1e-5, momentum=0.1,
-                 affine=True, track_running_stats=True):
+    def __init__(
+        self,
+        in_channels: int,
+        groups: int,
+        lamda: float = 0.01,
+        eps: float = 1e-5,
+        momentum: float = 0.1,
+        affine: bool = True,
+        track_running_stats: bool = True,
+    ):
         super().__init__()
 
         self.in_channels = in_channels