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Add Group Normalization

This commit is contained in:
zhaojichen 2020-04-16 03:54:32 -04:00
parent 04c522d0c6
commit 77fd2e841e
1 changed files with 2 additions and 2 deletions
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4
mindspore/nn/layer/normalization.py
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@ -20,7 +20,7 @@ from mindspore.common.initializer import initializer
from mindspore.common.tensor import Tensor
import mindspore.common.dtype as mstype
import mindspore.context as context
from mindspore._checkparam import check_int_positive, check_bool, check_typename
from mindspore._checkparam import check_int_positive, check_bool, check_typename
from mindspore._extends import cell_attr_register
from ..cell import Cell
@ -293,7 +293,7 @@ class LayerNorm(Cell):
class GroupNorm(Cell):
r"""
Group Normalization over a mini-batch of inputs.
Group Normalization over a mini-batch of inputs.
Group normalization is widely used in recurrent neural networks. It applies
normalization over a mini-batch of inputs for each single training case as described