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Have global_norm properly handle when input consists of only None #1832

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Merged
QuantuMope merged 1 commit into from
Mar 27, 2026
Merged

Have global_norm properly handle when input consists of only None #1832

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4 changes: 2 additions & 2 deletions alf/utils/tensor_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -205,13 +205,13 @@ def global_norm(tensors):
norm (Tensor): a scalar tensor
"""
assert alf.nest.is_nested(tensors), "tensors must be a nest! %s" % tensors
tensors = alf.nest.flatten(tensors)
tensors = [t for t in alf.nest.flatten(tensors) if t is not None]
if not tensors:
return torch.zeros((), dtype=torch.float32)
return torch.sqrt(
sum([
math_ops.square(torch.norm(torch.reshape(t, [-1])))
for t in tensors if t is not None
for t in tensors
]))


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