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体验新版 GitCode,发现更多精彩内容 >>
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提交
f6d8ab54
编写于
8月 16, 2021
作者:
Z
zhangchunle
提交者:
GitHub
8月 16, 2021
浏览文件
操作
浏览文件
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电子邮件补丁
差异文件
fix iscan bug in test file (#34912)
上级
3b9f040d
变更
12
隐藏空白更改
内联
并排
Showing
12 changed file
with
16 addition
and
304 deletion
+16
-304
python/paddle/fluid/contrib/slim/tests/test_imperative_out_scale.py
...dle/fluid/contrib/slim/tests/test_imperative_out_scale.py
+1
-1
python/paddle/fluid/incubate/fleet/base/fleet_base.py
python/paddle/fluid/incubate/fleet/base/fleet_base.py
+0
-9
python/paddle/fluid/tests/unittests/dist_sharding_save.py
python/paddle/fluid/tests/unittests/dist_sharding_save.py
+1
-1
python/paddle/fluid/tests/unittests/mkldnn/test_reshape_mkldnn_op.py
...le/fluid/tests/unittests/mkldnn/test_reshape_mkldnn_op.py
+1
-1
python/paddle/fluid/tests/unittests/test_dist_fleet_grad_clip.py
...paddle/fluid/tests/unittests/test_dist_fleet_grad_clip.py
+1
-1
python/paddle/fluid/tests/unittests/test_fleet_base_3.py
python/paddle/fluid/tests/unittests/test_fleet_base_3.py
+1
-1
python/paddle/fluid/tests/unittests/test_fleet_rolemaker_new.py
.../paddle/fluid/tests/unittests/test_fleet_rolemaker_new.py
+0
-258
python/paddle/fluid/tests/unittests/test_layers.py
python/paddle/fluid/tests/unittests/test_layers.py
+4
-4
python/paddle/fluid/tests/unittests/test_matmul_op.py
python/paddle/fluid/tests/unittests/test_matmul_op.py
+5
-5
python/paddle/fluid/tests/unittests/test_parallel_dygraph_pipeline_parallel.py
...ests/unittests/test_parallel_dygraph_pipeline_parallel.py
+2
-2
python/paddle/fluid/tests/unittests/test_reduce_op.py
python/paddle/fluid/tests/unittests/test_reduce_op.py
+0
-18
python/paddle/fluid/tests/unittests/test_sum_op.py
python/paddle/fluid/tests/unittests/test_sum_op.py
+0
-3
未找到文件。
python/paddle/fluid/contrib/slim/tests/test_imperative_out_scale.py
浏览文件 @
f6d8ab54
...
...
@@ -35,7 +35,7 @@ from paddle.nn import Linear, Conv2D, Softmax, BatchNorm2D, MaxPool2D
from
paddle.fluid.log_helper
import
get_logger
from
paddle.fluid.dygraph
import
nn
from
imperative_test_utils
import
fix_model_dict
,
train_lenet
,
ImperativeLenet
from
imperative_test_utils
import
fix_model_dict
,
train_lenet
paddle
.
enable_static
()
...
...
python/paddle/fluid/incubate/fleet/base/fleet_base.py
浏览文件 @
f6d8ab54
...
...
@@ -26,15 +26,6 @@ from paddle.distributed.fleet.base.role_maker import RoleMakerBase
from
paddle.fluid.contrib.mixed_precision.decorator
import
OptimizerWithMixedPrecision
from
.
import
mode
class
Mode
:
"""
There are various mode for fleet, each of them is designed for different model.
"""
PS
=
1
COLLECTIVE
=
2
__all__
=
[
'Fleet'
,
'DistributedOptimizer'
]
__all__
+=
mode
.
__all__
...
...
python/paddle/fluid/tests/unittests/dist_sharding_save.py
浏览文件 @
f6d8ab54
...
...
@@ -16,7 +16,7 @@ from __future__ import print_function
import
paddle
import
paddle.fluid
as
fluid
from
test_dist_base
import
TestDistRunnerBase
,
runtime_main
from
test_dist_base
import
TestDistRunnerBase
from
dist_mnist
import
cnn_model
# from paddle.fluid.incubate.fleet.collective import fleet
import
paddle.distributed.fleet
as
fleet
...
...
python/paddle/fluid/tests/unittests/mkldnn/test_reshape_mkldnn_op.py
浏览文件 @
f6d8ab54
...
...
@@ -85,7 +85,7 @@ class TestReshape2OneDNNOpDimInfer2(TestReshape2OneDNNOp):
'XShape'
:
np
.
random
.
random
(
self
.
ori_shape
).
astype
(
"float32"
)
}
def
init_data
(
self
):
def
init_data
1
(
self
):
self
.
ori_shape
=
(
6
,
20
)
self
.
new_shape
=
(
0
,
-
1
,
20
)
self
.
actual_shape
=
(
2
,
3
,
20
)
...
...
python/paddle/fluid/tests/unittests/test_dist_fleet_grad_clip.py
浏览文件 @
f6d8ab54
...
...
@@ -46,7 +46,7 @@ class TestDistGeoClipByGlobalNorm(TestFleetBase):
self
.
check_with_place
(
"dist_fleet_ctr.py"
,
delta
=
1e-5
,
check_error_log
=
True
)
def
_setup_config
(
self
):
def
_setup_config
1
(
self
):
self
.
_sync_mode
=
False
self
.
_grad_clip_mode
=
2
...
...
python/paddle/fluid/tests/unittests/test_fleet_base_3.py
浏览文件 @
f6d8ab54
...
...
@@ -21,7 +21,7 @@ import paddle.fluid as fluid
paddle
.
enable_static
()
class
TestFleetBase
(
unittest
.
TestCase
):
class
TestFleetBase
_1
(
unittest
.
TestCase
):
def
setUp
(
self
):
os
.
environ
[
"POD_IP"
]
=
"127.0.0.1"
os
.
environ
[
"PADDLE_TRAINER_ENDPOINTS"
]
=
"127.0.0.1:36001"
...
...
python/paddle/fluid/tests/unittests/test_fleet_rolemaker_new.py
浏览文件 @
f6d8ab54
...
...
@@ -268,264 +268,6 @@ class TestGlooWithCloudRoleMaker(unittest.TestCase):
self
.
case
(
role
,
"server"
)
self
.
clean
(
tmp
)
def
test_fs_gloo4
(
self
):
plats
=
platform
.
platform
()
if
'Linux'
not
in
plats
:
print
(
"skip gloo UT on MacOS/Win"
)
return
os
.
environ
[
"TRAINING_ROLE"
]
=
"WORKER"
os
.
environ
[
"PADDLE_PSERVERS_IP_PORT_LIST"
]
=
"127.0.0.1:36001"
os
.
environ
[
"POD_IP"
]
=
"127.0.0.1"
os
.
environ
[
"PADDLE_PORT"
]
=
"36001"
os
.
environ
[
"SYS_JOB_ID"
]
=
"gloo_for_cluster"
os
.
environ
[
"PADDLE_WITH_GLOO"
]
=
"1"
os
.
environ
[
"PADDLE_GLOO_RENDEZVOUS"
]
=
"3"
os
.
environ
[
"PADDLE_GLOO_HTTP_ENDPOINT"
]
=
"127.0.0.1:30019"
role
=
role_maker
.
PaddleCloudRoleMaker
(
is_collecitve
=
True
)
role
.
_generate_role
()
import
time
time
.
sleep
(
3
)
def
test_fs_gloo5
(
self
):
plats
=
platform
.
platform
()
if
'Linux'
not
in
plats
:
print
(
"skip gloo UT on MacOS/Win"
)
return
tmp
=
self
.
mkdir
()
os
.
environ
[
"TRAINING_ROLE"
]
=
"PSERVER"
os
.
environ
[
"PADDLE_PSERVERS_IP_PORT_LIST"
]
=
"127.0.0.1:36001"
os
.
environ
[
"POD_IP"
]
=
"127.0.0.1"
os
.
environ
[
"PADDLE_PORT"
]
=
"36001"
os
.
environ
[
"PADDLE_TRAINERS_NUM"
]
=
"0"
os
.
environ
[
"SYS_JOB_ID"
]
=
"gloo_for_cluster"
os
.
environ
[
"PADDLE_WITH_GLOO"
]
=
"2"
os
.
environ
[
"PADDLE_GLOO_RENDEZVOUS"
]
=
"2"
os
.
environ
[
"PADDLE_GLOO_FS_PATH"
]
=
tmp
role
=
role_maker
.
PaddleCloudRoleMaker
()
role
.
_generate_role
()
self
.
case
(
role
,
"server"
)
self
.
case
(
role
,
"all"
)
self
.
clean
(
tmp
)
def
test_fs_gloo6
(
self
):
plats
=
platform
.
platform
()
if
'Linux'
not
in
plats
:
print
(
"skip gloo UT on MacOS/Win"
)
return
tmp
=
self
.
mkdir
()
os
.
environ
[
"TRAINING_ROLE"
]
=
"PSERVER"
os
.
environ
[
"PADDLE_PSERVERS_IP_PORT_LIST"
]
=
"127.0.0.1:36001"
os
.
environ
[
"POD_IP"
]
=
"127.0.0.1"
os
.
environ
[
"PADDLE_PORT"
]
=
"36001"
os
.
environ
[
"PADDLE_TRAINERS_NUM"
]
=
"0"
os
.
environ
[
"SYS_JOB_ID"
]
=
"gloo_for_cluster"
os
.
environ
[
"PADDLE_WITH_GLOO"
]
=
"2"
os
.
environ
[
"PADDLE_GLOO_RENDEZVOUS"
]
=
"1"
os
.
environ
[
"PADDLE_GLOO_FS_NAME"
]
=
"NULL"
os
.
environ
[
"PADDLE_GLOO_FS_UGI"
]
=
"NULL"
os
.
environ
[
"PADDLE_GLOO_FS_PATH"
]
=
tmp
role
=
role_maker
.
PaddleCloudRoleMaker
()
role
.
_generate_role
()
self
.
case
(
role
,
"server"
)
self
.
case
(
role
,
"all"
)
self
.
clean
(
tmp
)
def
test_fs_gloo7
(
self
):
plats
=
platform
.
platform
()
if
'Linux'
not
in
plats
:
print
(
"skip gloo UT on MacOS/Win"
)
return
os
.
environ
[
"TRAINING_ROLE"
]
=
"PSERVER"
os
.
environ
[
"PADDLE_PSERVERS_IP_PORT_LIST"
]
=
"127.0.0.1:36001"
os
.
environ
[
"POD_IP"
]
=
"127.0.0.1"
os
.
environ
[
"PADDLE_PORT"
]
=
"36001"
os
.
environ
[
"PADDLE_TRAINERS_NUM"
]
=
"0"
os
.
environ
[
"SYS_JOB_ID"
]
=
"gloo_for_cluster"
os
.
environ
[
"PADDLE_WITH_GLOO"
]
=
"1"
os
.
environ
[
"PADDLE_GLOO_RENDEZVOUS"
]
=
"5"
role
=
role_maker
.
PaddleCloudRoleMaker
()
self
.
assertRaises
(
ValueError
,
role
.
_generate_role
)
def
test_fs_gloo8
(
self
):
plats
=
platform
.
platform
()
if
'Linux'
not
in
plats
:
print
(
"skip gloo UT on MacOS/Win"
)
return
tmp
=
self
.
mkdir
()
os
.
environ
[
"TRAINING_ROLE"
]
=
"PSERVER"
os
.
environ
[
"PADDLE_PSERVERS_IP_PORT_LIST"
]
=
"127.0.0.1:36001"
os
.
environ
[
"POD_IP"
]
=
"127.0.0.1"
os
.
environ
[
"PADDLE_PORT"
]
=
"36001"
os
.
environ
[
"PADDLE_TRAINERS_NUM"
]
=
"0"
os
.
environ
[
"SYS_JOB_ID"
]
=
"gloo_for_cluster"
os
.
environ
[
"PADDLE_WITH_GLOO"
]
=
"2"
os
.
environ
[
"PADDLE_GLOO_RENDEZVOUS"
]
=
"1"
os
.
environ
[
"PADDLE_GLOO_FS_NAME"
]
=
"NULL"
os
.
environ
[
"PADDLE_GLOO_FS_UGI"
]
=
"NULL"
os
.
environ
[
"PADDLE_GLOO_FS_PATH"
]
=
tmp
def
net
():
x
=
paddle
.
fluid
.
layers
.
data
(
name
=
'x'
,
shape
=
[
13
],
dtype
=
'float32'
)
y_predict
=
paddle
.
fluid
.
layers
.
fc
(
input
=
x
,
size
=
1
,
act
=
None
)
y
=
paddle
.
fluid
.
layers
.
data
(
name
=
'y'
,
shape
=
[
1
],
dtype
=
'float32'
)
cost
=
paddle
.
fluid
.
layers
.
square_error_cost
(
input
=
y_predict
,
label
=
y
)
avg_cost
=
paddle
.
fluid
.
layers
.
mean
(
cost
)
return
avg_cost
from
paddle.distributed
import
fleet
role
=
role_maker
.
PaddleCloudRoleMaker
()
fleet
.
init
(
role
)
avg_cost
=
net
()
strategy
=
paddle
.
distributed
.
fleet
.
DistributedStrategy
()
strategy
.
a_sync
=
False
optimizer
=
paddle
.
optimizer
.
SGD
(
0.01
)
optimizer
=
fleet
.
distributed_optimizer
(
optimizer
,
strategy
)
optimizer
.
minimize
(
avg_cost
)
comm_world
=
"server"
fleet
.
util
.
barrier
(
comm_world
)
gather
=
fleet
.
util
.
all_gather
(
1
,
comm_world
)
self
.
assertEqual
(
gather
[
0
],
1
)
all_reduce
=
fleet
.
util
.
all_reduce
(
1
,
"sum"
,
comm_world
)
self
.
assertEqual
(
1
,
all_reduce
)
self
.
clean
(
tmp
)
class
TestGlooWithCloudRoleMaker
(
unittest
.
TestCase
):
def
setUp
(
self
):
os
.
environ
[
"PADDLE_TRAINERS_NUM"
]
=
"1"
os
.
environ
[
"PADDLE_PSERVERS_IP_PORT_LIST"
]
=
"127.0.0.1:36001"
os
.
environ
[
"PADDLE_TRAINER_ENDPOINTS"
]
=
"127.0.0.1:36001"
os
.
environ
[
"POD_IP"
]
=
"127.0.0.1"
os
.
environ
[
"PADDLE_TRAINER_ID"
]
=
"0"
def
case
(
self
,
role
,
comm_world
):
role
.
_barrier
(
comm_world
)
gather
=
role
.
_all_gather
(
1
,
comm_world
)
self
.
assertEqual
(
gather
[
0
],
1
)
all_reduce
=
role
.
_all_reduce
(
1
,
"sum"
,
comm_world
)
self
.
assertEqual
(
1
,
all_reduce
)
def
mkdir
(
self
):
tmp
=
tempfile
.
mkdtemp
()
return
tmp
def
clean
(
self
,
tmp
):
shutil
.
rmtree
(
tmp
)
def
test_hdfs_gloo
(
self
):
plats
=
platform
.
platform
()
if
'Linux'
not
in
plats
:
print
(
"skip gloo UT on MacOS/Win"
)
return
tmp
=
self
.
mkdir
()
os
.
environ
[
"TRAINING_ROLE"
]
=
"TRAINER"
os
.
environ
[
"SYS_JOB_ID"
]
=
"gloo_for_cluster"
os
.
environ
[
"PADDLE_WITH_GLOO"
]
=
"1"
os
.
environ
[
"PADDLE_GLOO_RENDEZVOUS"
]
=
"1"
os
.
environ
[
"PADDLE_GLOO_FS_NAME"
]
=
"NULL"
os
.
environ
[
"PADDLE_GLOO_FS_UGI"
]
=
"NULL"
os
.
environ
[
"PADDLE_GLOO_FS_PATH"
]
=
tmp
role
=
role_maker
.
PaddleCloudRoleMaker
()
role
.
_generate_role
()
self
.
case
(
role
,
"worker"
)
self
.
clean
(
tmp
)
def
test_fs_gloo
(
self
):
plats
=
platform
.
platform
()
if
'Linux'
not
in
plats
:
print
(
"skip gloo UT on MacOS/Win"
)
return
tmp
=
self
.
mkdir
()
os
.
environ
[
"TRAINING_ROLE"
]
=
"TRAINER"
os
.
environ
[
"SYS_JOB_ID"
]
=
"gloo_for_cluster"
os
.
environ
[
"PADDLE_WITH_GLOO"
]
=
"1"
os
.
environ
[
"PADDLE_GLOO_RENDEZVOUS"
]
=
"2"
os
.
environ
[
"PADDLE_GLOO_FS_PATH"
]
=
tmp
role
=
role_maker
.
PaddleCloudRoleMaker
()
role
.
_generate_role
()
self
.
case
(
role
,
"worker"
)
self
.
clean
(
tmp
)
def
test_fs_gloo2
(
self
):
plats
=
platform
.
platform
()
if
'Linux'
not
in
plats
:
print
(
"skip gloo UT on MacOS/Win"
)
return
tmp
=
self
.
mkdir
()
os
.
environ
[
"TRAINING_ROLE"
]
=
"PSERVER"
os
.
environ
[
"PADDLE_PSERVERS_IP_PORT_LIST"
]
=
"127.0.0.1:36001"
os
.
environ
[
"POD_IP"
]
=
"127.0.0.1"
os
.
environ
[
"PADDLE_PORT"
]
=
"36001"
os
.
environ
[
"SYS_JOB_ID"
]
=
"gloo_for_cluster"
os
.
environ
[
"PADDLE_WITH_GLOO"
]
=
"1"
os
.
environ
[
"PADDLE_GLOO_RENDEZVOUS"
]
=
"2"
os
.
environ
[
"PADDLE_GLOO_FS_PATH"
]
=
tmp
role
=
role_maker
.
PaddleCloudRoleMaker
()
role
.
_generate_role
()
self
.
case
(
role
,
"server"
)
self
.
clean
(
tmp
)
def
test_fs_gloo3
(
self
):
plats
=
platform
.
platform
()
if
'Linux'
not
in
plats
:
print
(
"skip gloo UT on MacOS/Win"
)
return
tmp
=
self
.
mkdir
()
os
.
environ
[
"TRAINING_ROLE"
]
=
"PSERVER"
os
.
environ
[
"PADDLE_PSERVERS_IP_PORT_LIST"
]
=
"127.0.0.1:36001"
os
.
environ
[
"POD_IP"
]
=
"127.0.0.1"
os
.
environ
[
"PADDLE_PORT"
]
=
"36001"
os
.
environ
[
"SYS_JOB_ID"
]
=
"gloo_for_cluster"
os
.
environ
[
"PADDLE_WITH_GLOO"
]
=
"1"
os
.
environ
[
"PADDLE_GLOO_RENDEZVOUS"
]
=
"1"
os
.
environ
[
"PADDLE_GLOO_FS_NAME"
]
=
"NULL"
os
.
environ
[
"PADDLE_GLOO_FS_UGI"
]
=
"NULL"
os
.
environ
[
"PADDLE_GLOO_FS_PATH"
]
=
tmp
role
=
role_maker
.
PaddleCloudRoleMaker
()
role
.
_generate_role
()
self
.
case
(
role
,
"server"
)
self
.
clean
(
tmp
)
def
test_fs_gloo4
(
self
):
plats
=
platform
.
platform
()
if
'Linux'
not
in
plats
:
...
...
python/paddle/fluid/tests/unittests/test_layers.py
浏览文件 @
f6d8ab54
...
...
@@ -1658,20 +1658,20 @@ class TestLayer(LayerTest):
i
=
layers
.
fill_constant
(
shape
=
[
1
],
dtype
=
'int64'
,
value
=
0
)
ten
=
layers
.
fill_constant
(
shape
=
[
1
],
dtype
=
'int64'
,
value
=
10
)
def
cond
(
i
):
def
cond
1
(
i
):
return
layers
.
less_than
(
i
,
ten
)
def
body
(
i
):
def
body
1
(
i
):
return
i
+
1
dy_ret
=
layers
.
while_loop
(
cond
,
body
,
[
i
])
dy_ret
=
layers
.
while_loop
(
cond
1
,
body1
,
[
i
])
with
self
.
assertRaises
(
ValueError
):
j
=
layers
.
fill_constant
(
shape
=
[
1
],
dtype
=
'int64'
,
value
=
0
)
def
body2
(
i
):
return
i
+
1
,
i
+
2
layers
.
while_loop
(
cond
,
body2
,
[
j
])
layers
.
while_loop
(
cond
1
,
body2
,
[
j
])
self
.
assertTrue
(
np
.
array_equal
(
static_ret
[
0
],
dy_ret
[
0
].
numpy
()))
...
...
python/paddle/fluid/tests/unittests/test_matmul_op.py
浏览文件 @
f6d8ab54
...
...
@@ -207,8 +207,8 @@ for dim_X in (1, 2, 3):
# Test case more batch_size and N, M, K
def
generate_compatible_shapes
(
dim_X
,
dim_Y
,
transpose_X
,
transpose_Y
,
batch_size
):
def
generate_compatible_shapes
_batch
(
dim_X
,
dim_Y
,
transpose_X
,
transpose_Y
,
batch_size
):
BATCH_SIZE
=
2
M
=
3
N
=
4
...
...
@@ -243,7 +243,7 @@ def generate_compatible_shapes(dim_X, dim_Y, transpose_X, transpose_Y,
# Test case n-dim
def
generate_compatible_shapes
(
dim
,
transpose_X
,
transpose_Y
):
def
generate_compatible_shapes
_ndim
(
dim
,
transpose_X
,
transpose_Y
):
M
=
2
N
=
4
K
=
3
...
...
@@ -270,8 +270,8 @@ for dim in [4]:
test_name
=
(
'TestMatMulOp_dimX_{}_dim_Y_{}_transX_{}_transY_{}'
.
format
(
dim
,
dim
,
transpose_X
,
transpose_Y
))
shape_X
,
shape_Y
=
generate_compatible_shapes
(
dim
,
transpose_X
,
transpose_Y
)
shape_X
,
shape_Y
=
generate_compatible_shapes
_ndim
(
dim
,
transpose_X
,
transpose_Y
)
globals
()[
test_name
]
=
type
(
test_name
,
(
Generator
,
OpTest
),
{
'shape_X'
:
shape_X
,
'shape_Y'
:
shape_Y
,
...
...
python/paddle/fluid/tests/unittests/test_parallel_dygraph_pipeline_parallel.py
浏览文件 @
f6d8ab54
...
...
@@ -36,10 +36,10 @@ class TestHybridPipeParallel(TestMultipleGpus):
def
test_hybrid_parallel_transformer
(
self
):
self
.
run_mnist_2gpu
(
'hybrid_parallel_pp_transformer.py'
)
def
test_hybrid_parallel_
transformer
(
self
):
def
test_hybrid_parallel_
save_load
(
self
):
self
.
run_mnist_2gpu
(
'hybrid_parallel_pp_save_load.py'
)
def
test_hybrid_parallel_
transformer
(
self
):
def
test_hybrid_parallel_
recompute
(
self
):
self
.
run_mnist_2gpu
(
'hybrid_parallel_pp_recompute.py'
)
...
...
python/paddle/fluid/tests/unittests/test_reduce_op.py
浏览文件 @
f6d8ab54
...
...
@@ -561,24 +561,6 @@ class TestKeepDim8DReduce(Test1DReduce):
}
class
TestReduceAll
(
Test1DReduce
):
def
setUp
(
self
):
self
.
op_type
=
"reduce_sum"
self
.
inputs
=
{
'X'
:
np
.
random
.
random
((
5
,
6
,
2
,
10
)).
astype
(
"float64"
)}
self
.
attrs
=
{
'reduce_all'
:
True
}
self
.
outputs
=
{
'Out'
:
self
.
inputs
[
'X'
].
sum
()}
class
TestReduceAll
(
Test1DReduce
):
def
setUp
(
self
):
self
.
op_type
=
"reduce_sum"
self
.
inputs
=
{
'X'
:
np
.
random
.
random
((
2
,
5
,
3
,
2
,
2
,
3
,
4
,
2
)).
astype
(
"float64"
)
}
self
.
attrs
=
{
'reduce_all'
:
True
,
'dim'
:
(
3
,
4
,
5
)}
self
.
outputs
=
{
'Out'
:
self
.
inputs
[
'X'
].
sum
(
axis
=
self
.
attrs
[
'dim'
])}
@
skip_check_grad_ci
(
reason
=
"reduce_max is discontinuous non-derivable function,"
" its gradient check is not supported by unittest framework."
)
...
...
python/paddle/fluid/tests/unittests/test_sum_op.py
浏览文件 @
f6d8ab54
...
...
@@ -49,9 +49,6 @@ class TestSumOp(OpTest):
def
test_check_grad
(
self
):
self
.
check_grad
([
'x0'
],
'Out'
)
def
init_kernel_type
(
self
):
pass
class
TestSelectedRowsSumOp
(
unittest
.
TestCase
):
def
setUp
(
self
):
...
...
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