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Launching fails in non-distributed environments because of default args #152

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Launching fails in non-distributed environments because of default args #152

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0e9516f
Update abn.py
llucid-97 Dec 3, 2019
97e97f1
Update functions.py
llucid-97 Dec 3, 2019
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3 changes: 2 additions & 1 deletion inplace_abn/abn.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,7 @@
import torch.nn.functional as functional

from .functions import *
_default_group = distributed.group.WORLD if hasattr(distributed, "group") else None


class ABN(nn.Module):
Expand Down Expand Up @@ -138,7 +139,7 @@ class InPlaceABNSync(ABN):
"""

def __init__(self, num_features, eps=1e-5, momentum=0.1, affine=True, activation="leaky_relu",
activation_param=0.01, group=distributed.group.WORLD):
activation_param=0.01, group=_default_group):
super(InPlaceABNSync, self).__init__(num_features, eps, momentum, affine, activation, activation_param)
self.group = group

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3 changes: 2 additions & 1 deletion inplace_abn/functions.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,7 @@
from torch.autograd.function import once_differentiable

from . import _backend
_default_group = distributed.group.WORLD if hasattr(distributed, "group") else None


def _activation_from_name(activation):
Expand Down Expand Up @@ -152,7 +153,7 @@ def inplace_abn(x, weight, bias, running_mean, running_var,

def inplace_abn_sync(x, weight, bias, running_mean, running_var,
training=True, momentum=0.1, eps=1e-05, activation="leaky_relu", activation_param=0.01,
group=distributed.group.WORLD):
group=_default_group):
return InPlaceABN.apply(x, weight, bias, running_mean, running_var,
training, momentum, eps, activation, activation_param, group)

Expand Down