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381bacaa
编写于
7月 18, 2018
作者:
F
fengjiayi
浏览文件
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浏览文件
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电子邮件补丁
差异文件
Fix piecewise_decay and fix a unittest error
上级
982d4230
变更
2
显示空白变更内容
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Showing
2 changed file
with
29 addition
and
28 deletion
+29
-28
python/paddle/fluid/layers/learning_rate_scheduler.py
python/paddle/fluid/layers/learning_rate_scheduler.py
+22
-22
python/paddle/fluid/tests/unittests/test_learning_rate_scheduler.py
...dle/fluid/tests/unittests/test_learning_rate_scheduler.py
+7
-6
未找到文件。
python/paddle/fluid/layers/learning_rate_scheduler.py
浏览文件 @
381bacaa
...
...
@@ -277,7 +277,6 @@ def piecewise_decay(boundaries, values):
global_step
=
_decay_step_counter
()
with
init_on_cpu
():
lr
=
tensor
.
create_global_var
(
shape
=
[
1
],
value
=
0.0
,
...
...
@@ -288,15 +287,16 @@ def piecewise_decay(boundaries, values):
with
control_flow
.
Switch
()
as
switch
:
for
i
in
range
(
len
(
boundaries
)):
boundary_val
=
tensor
.
fill_constant
(
shape
=
[
1
],
dtype
=
'float32'
,
value
=
float
(
boundaries
[
i
]))
shape
=
[
1
],
dtype
=
'float32'
,
value
=
float
(
boundaries
[
i
]),
force_cpu
=
True
)
value_var
=
tensor
.
fill_constant
(
shape
=
[
1
],
dtype
=
'float32'
,
value
=
float
(
values
[
i
]))
with
switch
.
case
(
global_step
<
boundary_val
):
tensor
.
assign
(
value_var
,
lr
)
last_value_var
=
tensor
.
fill_constant
(
shape
=
[
1
],
dtype
=
'float32'
,
value
=
float
(
values
[
len
(
values
)
-
1
]))
shape
=
[
1
],
dtype
=
'float32'
,
value
=
float
(
values
[
len
(
values
)
-
1
]))
with
switch
.
default
():
tensor
.
assign
(
last_value_var
,
lr
)
...
...
python/paddle/fluid/tests/unittests/test_learning_rate_scheduler.py
浏览文件 @
381bacaa
...
...
@@ -91,20 +91,21 @@ class TestLearningRateDecay(unittest.TestCase):
def
check_decay_with_place
(
self
,
place
,
python_decay_fn
,
fluid_decay_fn
,
kwargs
):
main_prog
=
fluid
.
Program
()
startup_prog
=
fluid
.
Program
()
with
fluid
.
program_guard
(
main_prog
,
startup_prog
):
decayed_lr
=
fluid_decay_fn
(
**
kwargs
)
place
=
fluid
.
CPUPlace
()
exe
=
fluid
.
Executor
(
place
)
exe
.
run
(
fluid
.
default_startup_program
()
)
exe
.
run
(
startup_prog
)
fluid
.
memory_optimize
(
fluid
.
default_main_program
()
)
# fluid.memory_optimize(main_prog
)
for
step
in
range
(
10
):
lr_val
,
=
exe
.
run
(
fluid
.
default_main_program
(),
feed
=
{},
fetch_list
=
[
decayed_lr
])
lr_val
,
=
exe
.
run
(
main_prog
,
feed
=
{},
fetch_list
=
[
decayed_lr
])
python_decayed_lr
=
python_decay_fn
(
global_step
=
float
(
step
),
**
kwargs
)
self
.
assertAlmostEqual
(
...
...
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