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体验新版 GitCode,发现更多精彩内容 >>
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e26411ce
编写于
8月 28, 2019
作者:
C
chengduo
提交者:
GitHub
8月 28, 2019
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差异文件
Open test_parallel_dygraph_se_resnext (#19342)
* enabel test_parallel_dygraph_se_resnext test=develop
上级
caf59d0f
变更
2
显示空白变更内容
内联
并排
Showing
2 changed file
with
16 addition
and
11 deletion
+16
-11
python/paddle/fluid/tests/unittests/parallel_dygraph_se_resnext.py
...ddle/fluid/tests/unittests/parallel_dygraph_se_resnext.py
+10
-3
python/paddle/fluid/tests/unittests/test_parallel_dygraph_se_resnext.py
...fluid/tests/unittests/test_parallel_dygraph_se_resnext.py
+6
-8
未找到文件。
python/paddle/fluid/tests/unittests/parallel_dygraph_se_resnext.py
浏览文件 @
e26411ce
...
@@ -57,10 +57,15 @@ class ConvBNLayer(fluid.dygraph.Layer):
...
@@ -57,10 +57,15 @@ class ConvBNLayer(fluid.dygraph.Layer):
self
.
_batch_norm
=
BatchNorm
(
self
.
_batch_norm
=
BatchNorm
(
self
.
full_name
(),
num_filters
,
act
=
act
,
momentum
=
0.1
)
self
.
full_name
(),
num_filters
,
act
=
act
,
momentum
=
0.1
)
self
.
_layer_norm
=
fluid
.
dygraph
.
nn
.
LayerNorm
(
self
.
full_name
(),
begin_norm_axis
=
1
)
def
forward
(
self
,
inputs
):
def
forward
(
self
,
inputs
):
y
=
self
.
_conv
(
inputs
)
y
=
self
.
_conv
(
inputs
)
y
=
self
.
_batch_norm
(
y
)
# FIXME(zcd): when compare the result of multi-card and single-card,
# we should replace batch_norm with layer_norm.
y
=
self
.
_layer_norm
(
y
)
# y = self._batch_norm(y)
return
y
return
y
...
@@ -278,7 +283,9 @@ class SeResNeXt(fluid.dygraph.Layer):
...
@@ -278,7 +283,9 @@ class SeResNeXt(fluid.dygraph.Layer):
for
bottleneck_block
in
self
.
bottleneck_block_list
:
for
bottleneck_block
in
self
.
bottleneck_block_list
:
y
=
bottleneck_block
(
y
)
y
=
bottleneck_block
(
y
)
y
=
self
.
pool2d_avg
(
y
)
y
=
self
.
pool2d_avg
(
y
)
y
=
fluid
.
layers
.
dropout
(
y
,
dropout_prob
=
0.2
,
seed
=
1
)
# FIXME(zcd): the dropout should be removed when compare the
# result of multi-card and single-card.
# y = fluid.layers.dropout(y, dropout_prob=0.2, seed=1)
cost
=
self
.
fc
(
y
)
cost
=
self
.
fc
(
y
)
loss
=
fluid
.
layers
.
cross_entropy
(
cost
,
label
)
loss
=
fluid
.
layers
.
cross_entropy
(
cost
,
label
)
avg_loss
=
fluid
.
layers
.
mean
(
loss
)
avg_loss
=
fluid
.
layers
.
mean
(
loss
)
...
@@ -290,7 +297,7 @@ class TestSeResNeXt(TestParallelDyGraphRunnerBase):
...
@@ -290,7 +297,7 @@ class TestSeResNeXt(TestParallelDyGraphRunnerBase):
model
=
SeResNeXt
(
"se-resnext"
)
model
=
SeResNeXt
(
"se-resnext"
)
train_reader
=
paddle
.
batch
(
train_reader
=
paddle
.
batch
(
paddle
.
dataset
.
flowers
.
test
(
use_xmap
=
False
),
paddle
.
dataset
.
flowers
.
test
(
use_xmap
=
False
),
batch_size
=
2
,
batch_size
=
4
,
drop_last
=
True
)
drop_last
=
True
)
opt
=
fluid
.
optimizer
.
SGD
(
learning_rate
=
1e-3
)
opt
=
fluid
.
optimizer
.
SGD
(
learning_rate
=
1e-3
)
...
...
python/paddle/fluid/tests/unittests/test_parallel_dygraph_se_resnext.py
浏览文件 @
e26411ce
...
@@ -13,10 +13,11 @@
...
@@ -13,10 +13,11 @@
# limitations under the License.
# limitations under the License.
from
__future__
import
print_function
from
__future__
import
print_function
#
import unittest
import
unittest
from
test_dist_base
import
TestDistBase
from
test_dist_base
import
TestDistBase
import
paddle.fluid
as
fluid
import
paddle.fluid
as
fluid
'''
class
TestParallelDygraphSeResNeXt
(
TestDistBase
):
class
TestParallelDygraphSeResNeXt
(
TestDistBase
):
def
_setup_config
(
self
):
def
_setup_config
(
self
):
self
.
_sync_mode
=
False
self
.
_sync_mode
=
False
...
@@ -24,12 +25,9 @@ class TestParallelDygraphSeResNeXt(TestDistBase):
...
@@ -24,12 +25,9 @@ class TestParallelDygraphSeResNeXt(TestDistBase):
self
.
_dygraph
=
True
self
.
_dygraph
=
True
def
test_se_resnext
(
self
):
def
test_se_resnext
(
self
):
# TODO(Yancey1989): BN and Dropout is related with batchsize, so the delta is the 1,
# try to remove the BN and Dropout in the network and using delta = 1e-5
if
fluid
.
core
.
is_compiled_with_cuda
():
if
fluid
.
core
.
is_compiled_with_cuda
():
self.check_with_place("parallel_dygraph_se_resnext.py", delta=1)
self
.
check_with_place
(
"parallel_dygraph_se_resnext.py"
,
delta
=
0.0
1
)
'''
if
__name__
==
"__main__"
:
if
__name__
==
"__main__"
:
pass
unittest
.
main
()
#unittest.main()
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