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体验新版 GitCode,发现更多精彩内容 >>
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8d95a109
编写于
4月 08, 2020
作者:
Z
zhongpu
提交者:
GitHub
4月 08, 2020
浏览文件
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电子邮件补丁
差异文件
fix if logic in dygraph, test=develop (#23512)
上级
316ea549
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
20 addition
and
5 deletion
+20
-5
python/paddle/fluid/dygraph/nn.py
python/paddle/fluid/dygraph/nn.py
+2
-2
python/paddle/fluid/tests/unittests/test_layers.py
python/paddle/fluid/tests/unittests/test_layers.py
+18
-3
未找到文件。
python/paddle/fluid/dygraph/nn.py
浏览文件 @
8d95a109
...
...
@@ -2610,9 +2610,9 @@ class GroupNorm(layers.Layer):
def
forward
(
self
,
input
):
inputs
=
{
'X'
:
input
}
if
self
.
bias
:
if
self
.
bias
is
not
None
:
inputs
[
'Bias'
]
=
self
.
bias
if
self
.
weight
:
if
self
.
weight
is
not
None
:
inputs
[
'Scale'
]
=
self
.
weight
# create output
...
...
python/paddle/fluid/tests/unittests/test_layers.py
浏览文件 @
8d95a109
...
...
@@ -1114,7 +1114,12 @@ class TestLayer(LayerTest):
dtype
=
'float32'
,
lod_level
=
1
,
append_batch_size
=
False
)
ret
=
layers
.
group_norm
(
input
=
X
,
groups
=
2
)
ret
=
layers
.
group_norm
(
input
=
X
,
groups
=
2
,
param_attr
=
fluid
.
initializer
.
Uniform
(
low
=-
0.5
,
high
=
0.5
),
bias_attr
=
fluid
.
initializer
.
ConstantInitializer
(
value
=
1
))
static_ret
=
self
.
get_static_graph_result
(
feed
=
{
'X'
:
fluid
.
create_lod_tensor
(
...
...
@@ -1130,7 +1135,12 @@ class TestLayer(LayerTest):
dtype
=
'float32'
,
lod_level
=
1
,
append_batch_size
=
False
)
groupNorm
=
nn
.
GroupNorm
(
channels
=
shape
[
1
],
groups
=
2
)
groupNorm
=
nn
.
GroupNorm
(
channels
=
shape
[
1
],
groups
=
2
,
param_attr
=
fluid
.
initializer
.
Uniform
(
low
=-
0.5
,
high
=
0.5
),
bias_attr
=
fluid
.
initializer
.
ConstantInitializer
(
value
=
1
))
ret
=
groupNorm
(
X
)
static_ret2
=
self
.
get_static_graph_result
(
feed
=
{
...
...
@@ -1141,7 +1151,12 @@ class TestLayer(LayerTest):
with_lod
=
True
)[
0
]
with
self
.
dynamic_graph
():
groupNorm
=
nn
.
GroupNorm
(
channels
=
shape
[
1
],
groups
=
2
)
groupNorm
=
nn
.
GroupNorm
(
channels
=
shape
[
1
],
groups
=
2
,
param_attr
=
fluid
.
initializer
.
Uniform
(
low
=-
0.5
,
high
=
0.5
),
bias_attr
=
fluid
.
initializer
.
ConstantInitializer
(
value
=
1
))
dy_ret
=
groupNorm
(
base
.
to_variable
(
input
))
dy_rlt_value
=
dy_ret
.
numpy
()
...
...
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