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体验新版 GitCode,发现更多精彩内容 >>
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88ae3f16
编写于
9月 20, 2018
作者:
X
Xin Pan
浏览文件
操作
浏览文件
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电子邮件补丁
差异文件
further clean
上级
2b007fb5
变更
6
隐藏空白更改
内联
并排
Showing
6 changed file
with
2 addition
and
23 deletion
+2
-23
benchmark/fluid/args.py
benchmark/fluid/args.py
+0
-4
benchmark/fluid/models/resnet.py
benchmark/fluid/models/resnet.py
+0
-5
benchmark/fluid/models/resnet_with_preprocess.py
benchmark/fluid/models/resnet_with_preprocess.py
+0
-5
benchmark/fluid/models/se_resnext.py
benchmark/fluid/models/se_resnext.py
+1
-7
python/paddle/fluid/optimizer.py
python/paddle/fluid/optimizer.py
+0
-1
python/paddle/fluid/tests/book/test_recognize_digits.py
python/paddle/fluid/tests/book/test_recognize_digits.py
+1
-1
未找到文件。
benchmark/fluid/args.py
浏览文件 @
88ae3f16
...
...
@@ -136,10 +136,6 @@ def parse_args():
'--no_random'
,
action
=
'store_true'
,
help
=
'If set, keep the random seed and do not shuffle the data.'
)
parser
.
add_argument
(
'--use_lars'
,
action
=
'store_true'
,
help
=
'If set, use lars for optimizers, ONLY support resnet module.'
)
parser
.
add_argument
(
'--reduce_strategy'
,
type
=
str
,
...
...
benchmark/fluid/models/resnet.py
浏览文件 @
88ae3f16
...
...
@@ -200,11 +200,6 @@ def get_model(args, is_train, main_prog, startup_prog):
# configure optimize
optimizer
=
None
if
is_train
:
if
args
.
use_lars
:
lars_decay
=
1.0
else
:
lars_decay
=
0.0
total_images
=
1281167
/
trainer_count
step
=
int
(
total_images
/
(
args
.
batch_size
*
args
.
gpus
)
+
1
)
...
...
benchmark/fluid/models/resnet_with_preprocess.py
浏览文件 @
88ae3f16
...
...
@@ -224,11 +224,6 @@ def get_model(args, is_train, main_prog, startup_prog):
# configure optimize
optimizer
=
None
if
is_train
:
if
args
.
use_lars
:
lars_decay
=
1.0
else
:
lars_decay
=
0.0
total_images
=
1281167
/
trainer_count
step
=
int
(
total_images
/
args
.
batch_size
+
1
)
...
...
benchmark/fluid/models/se_resnext.py
浏览文件 @
88ae3f16
...
...
@@ -244,11 +244,6 @@ def get_model(args, is_train, main_prog, startup_prog):
optimizer
=
None
if
is_train
:
if
args
.
use_lars
:
lars_decay
=
1.0
else
:
lars_decay
=
0.0
total_images
=
1281167
/
trainer_count
step
=
int
(
total_images
/
args
.
batch_size
+
1
)
...
...
@@ -262,8 +257,7 @@ def get_model(args, is_train, main_prog, startup_prog):
learning_rate
=
fluid
.
layers
.
piecewise_decay
(
boundaries
=
bd
,
values
=
lr
),
momentum
=
0.9
,
regularization
=
fluid
.
regularizer
.
L2Decay
(
1e-4
),
LARS_weight_decay
=
lars_decay
)
regularization
=
fluid
.
regularizer
.
L2Decay
(
1e-4
))
optimizer
.
minimize
(
avg_cost
)
if
args
.
memory_optimize
:
...
...
python/paddle/fluid/optimizer.py
浏览文件 @
88ae3f16
...
...
@@ -104,7 +104,6 @@ class Optimizer(object):
param
=
param_and_grad
[
0
]
param_lr
=
param
.
optimize_attr
[
'learning_rate'
]
if
type
(
param_lr
)
==
Variable
:
# param learning rate has been updated (LARS)
print
(
"returns updated param lr "
,
param_lr
)
return
param_lr
else
:
...
...
python/paddle/fluid/tests/book/test_recognize_digits.py
浏览文件 @
88ae3f16
...
...
@@ -99,7 +99,7 @@ def train(nn_type,
test_program
=
fluid
.
default_main_program
().
clone
(
for_test
=
True
)
optimizer
=
fluid
.
optimizer
.
Adam
(
learning_rate
=
0.001
,
LARS_weight_decay
=
0.3
)
optimizer
=
fluid
.
optimizer
.
Adam
(
learning_rate
=
0.001
)
optimizer
.
minimize
(
avg_loss
)
place
=
fluid
.
CUDAPlace
(
0
)
if
use_cuda
else
fluid
.
CPUPlace
()
...
...
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