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体验新版 GitCode,发现更多精彩内容 >>
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98e057bb
编写于
8月 26, 2020
作者:
D
Dong Daxiang
提交者:
GitHub
8月 26, 2020
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差异文件
remove role maker in test_fleet_graph_execution_meta_optimizer.py (#26674)
test=develop
上级
dbcef732
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Showing
1 changed file
with
4 addition
and
12 deletion
+4
-12
python/paddle/fluid/tests/unittests/test_fleet_graph_execution_meta_optimizer.py
...ts/unittests/test_fleet_graph_execution_meta_optimizer.py
+4
-12
未找到文件。
python/paddle/fluid/tests/unittests/test_fleet_graph_execution_meta_optimizer.py
浏览文件 @
98e057bb
...
...
@@ -40,9 +40,7 @@ class TestFleetGraphExecutionMetaOptimizer(unittest.TestCase):
def
node_func
():
import
paddle.distributed.fleet
as
fleet
import
paddle.fluid.incubate.fleet.base.role_maker
as
role_maker
role
=
role_maker
.
PaddleCloudRoleMaker
(
is_collective
=
True
)
fleet
.
init
(
role
)
fleet
.
init
(
is_collective
=
True
)
input_x
=
paddle
.
fluid
.
layers
.
data
(
name
=
"x"
,
shape
=
[
32
],
dtype
=
'float32'
)
input_y
=
paddle
.
fluid
.
layers
.
data
(
...
...
@@ -98,9 +96,7 @@ class TestFleetGraphExecutionMetaOptimizer(unittest.TestCase):
def
node_func
():
import
paddle.distributed.fleet
as
fleet
import
paddle.fluid.incubate.fleet.base.role_maker
as
role_maker
role
=
role_maker
.
PaddleCloudRoleMaker
(
is_collective
=
True
)
fleet
.
init
(
role
)
fleet
.
init
(
is_collective
=
True
)
input_x
=
paddle
.
fluid
.
layers
.
data
(
name
=
"x"
,
shape
=
[
32
],
dtype
=
'float32'
)
input_y
=
paddle
.
fluid
.
layers
.
data
(
...
...
@@ -166,9 +162,7 @@ class TestFleetGraphExecutionMetaOptimizer(unittest.TestCase):
def
node_func
():
import
paddle.distributed.fleet
as
fleet
import
paddle.fluid.incubate.fleet.base.role_maker
as
role_maker
role
=
role_maker
.
PaddleCloudRoleMaker
(
is_collective
=
True
)
fleet
.
init
(
role
)
fleet
.
init
(
is_collective
=
True
)
input_x
=
paddle
.
fluid
.
layers
.
data
(
name
=
"x"
,
shape
=
[
32
],
dtype
=
'float32'
)
input_y
=
paddle
.
fluid
.
layers
.
data
(
...
...
@@ -217,9 +211,7 @@ class TestFleetGraphExecutionMetaOptimizer(unittest.TestCase):
def
node_func
():
import
paddle.distributed.fleet
as
fleet
import
paddle.fluid.incubate.fleet.base.role_maker
as
role_maker
role
=
role_maker
.
PaddleCloudRoleMaker
(
is_collective
=
True
)
fleet
.
init
(
role
)
fleet
.
init
(
is_collective
=
True
)
input_x
=
paddle
.
fluid
.
layers
.
data
(
name
=
"x"
,
shape
=
[
32
],
dtype
=
'float32'
)
input_y
=
paddle
.
fluid
.
layers
.
data
(
...
...
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