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体验新版 GitCode,发现更多精彩内容 >>
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48f3cbdf
编写于
3月 28, 2019
作者:
M
minqiyang
浏览文件
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差异文件
Polish code
test=develop
上级
35c89f38
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
19 addition
and
13 deletion
+19
-13
python/paddle/fluid/layers/learning_rate_scheduler.py
python/paddle/fluid/layers/learning_rate_scheduler.py
+1
-1
python/paddle/fluid/optimizer.py
python/paddle/fluid/optimizer.py
+18
-12
未找到文件。
python/paddle/fluid/layers/learning_rate_scheduler.py
浏览文件 @
48f3cbdf
...
...
@@ -350,7 +350,7 @@ def cosine_decay(learning_rate, step_each_epoch, epochs):
following cosine decay strategy.
decayed_lr = learning_rate * 0.5 * (math.cos(epoch * math.pi / epochs) + 1)
Args:
learning_rate(Variable|float): The initial learning rate.
step_each_epoch(int): the number of steps in an epoch.
...
...
python/paddle/fluid/optimizer.py
浏览文件 @
48f3cbdf
...
...
@@ -94,13 +94,18 @@ class Optimizer(object):
if
imperative_base
.
enabled
():
# create learning rate Variable
if
isinstance
(
self
.
_learning_rate
,
float
):
self
.
_learning_rate_map
[
framework
.
default_main_program
(
)]
=
layers
.
create_global_var
(
name
=
unique_name
.
generate
(
"learning_rate"
),
shape
=
[
1
],
value
=
float
(
self
.
_learning_rate
),
dtype
=
'float32'
if
self
.
_dtype
is
None
else
self
.
_dtype
,
persistable
=
True
)
lr
=
self
.
_global_learning_rate
()
if
isinstance
(
lr
,
framework
.
Variable
):
return
else
:
self
.
_learning_rate_map
[
framework
.
default_main_program
(
)]
=
layers
.
create_global_var
(
name
=
unique_name
.
generate
(
"learning_rate"
),
shape
=
[
1
],
value
=
float
(
self
.
_learning_rate
),
dtype
=
'float32'
if
self
.
_dtype
is
None
else
self
.
_dtype
,
persistable
=
True
)
# get learning rate Variable from LearningRateDecay
elif
isinstance
(
self
.
_learning_rate
,
LearningRateDecay
):
self
.
_learning_rate_map
[
framework
.
default_main_program
(
...
...
@@ -114,11 +119,12 @@ class Optimizer(object):
if
isinstance
(
lr
,
framework
.
Variable
):
return
if
not
isinstance
(
self
.
_learning_rate
,
float
):
raise
TypeError
(
"learning rate variable is create outside optimizer,"
"can not create new learning rate variable for new program"
)
else
:
if
not
isinstance
(
self
.
_learning_rate
,
float
):
raise
TypeError
(
"learning rate variable is create outside optimizer,"
"can not create new learning rate variable for new program"
)
# create learning rate in the current main program
self
.
_learning_rate_map
[
framework
.
default_main_program
(
...
...
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