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Add option for BatchNorm to handle batches of size one #5530

Merged
merged 12 commits into from
Sep 30, 2022
Merged

Add option for BatchNorm to handle batches of size one #5530

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df194c5
add skip for batch norm
Padarn Sep 25, 2022
5398b65
add changelog
Padarn Sep 26, 2022
d227042
device of default mean/var
Padarn Sep 26, 2022
24bbb6f
device of default mean/var
Padarn Sep 26, 2022
8cd8690
device of default mean/var
Padarn Sep 26, 2022
7ab163d
device of default mean/var
Padarn Sep 26, 2022
2709908
update naming for new arugment
Padarn Sep 29, 2022
c1a86d9
require track running
Padarn Sep 30, 2022
87e50cf
Update torch_geometric/nn/norm/batch_norm.py
rusty1s Sep 30, 2022
39c250d
Update torch_geometric/nn/norm/batch_norm.py
rusty1s Sep 30, 2022
f86ef20
Merge branch 'master' into padarn/batch_norm_singleton
rusty1s Sep 30, 2022
611edb0
update
rusty1s Sep 30, 2022
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@rusty1s
rusty1s committed Sep 30, 2022
commit 611edb02e76b268dafb2fd5de369a9851914a7df
15 changes: 11 additions & 4 deletions test/nn/norm/test_batch_norm.py
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Expand Up @@ -18,11 +18,18 @@ def test_batch_norm(conf):
out = norm(x)
assert out.size() == (100, 16)


def test_batch_norm_single_element():
x = torch.randn(1, 16)
with pytest.raises(ValueError):
_ = norm(x)

norm = BatchNorm(16, affine=conf, track_running_stats=conf,
allow_single_element=True)
norm = BatchNorm(16)
with pytest.raises(ValueError, match="Expected more than 1 value"):
norm(x)

with pytest.raises(ValueError, match="requires 'track_running_stats'"):
norm = BatchNorm(16, track_running_stats=False,
allow_single_element=True)

norm = BatchNorm(16, track_running_stats=True, allow_single_element=True)
out = norm(x)
assert torch.allclose(out, x)