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体验新版 GitCode,发现更多精彩内容 >>
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1ee77841
编写于
3月 06, 2018
作者:
Q
qiaolongfei
浏览文件
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电子邮件补丁
差异文件
add get_program_cache_key function
上级
b63901f5
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
23 addition
and
7 deletion
+23
-7
python/paddle/fluid/executor.py
python/paddle/fluid/executor.py
+22
-6
python/paddle/fluid/tests/unittests/test_learning_rate_decay.py
.../paddle/fluid/tests/unittests/test_learning_rate_decay.py
+1
-1
未找到文件。
python/paddle/fluid/executor.py
浏览文件 @
1ee77841
...
...
@@ -163,6 +163,22 @@ def fetch_var(name, scope=None, return_numpy=True):
return
tensor
def
get_program_cache_key
(
feed
,
fetch_list
):
feed_var_names
=
feed
.
keys
()
def
to_name_str
(
var
):
if
isinstance
(
var
,
Variable
):
return
var
.
desc
.
name
()
elif
isinstance
(
var
,
str
):
return
var
else
:
raise
TypeError
(
str
(
var
)
+
" should be Variable or str"
)
fetch_var_names
=
map
(
to_name_str
,
fetch_list
)
return
str
(
feed_var_names
+
fetch_var_names
)
class
Executor
(
object
):
def
__init__
(
self
,
places
):
if
not
isinstance
(
places
,
list
)
and
not
isinstance
(
places
,
tuple
):
...
...
@@ -232,12 +248,13 @@ class Executor(object):
Python executor takes a program, add feed operators and fetch operators to this program according
to feed map and fetch_list. Feed map provides input data for the program. fetch_list provides
the variables that user want to get after program run. Note: the executor will run all
the variables
(or names)
that user want to get after program run. Note: the executor will run all
operators in the program but not only the operators dependent by the fetch_list
:param program: the program that need to run, if not provied, then default_main_program will be used.
:param feed: feed variable map, e.g. {"image": ImageData, "label": LableData}
:param fetch_list: a list of variable that user want to get, run will return them according to this list.
:param fetch_list: a list of variable or variable names that user want to get, run will return them according
to this list.
:param feed_var_name: the name for the input variable of feed Operator.
:param fetch_var_name: the name for the output variable of feed Operator.
:param scope: the scope used to run this program, you can switch it to different scope. default is global_scope
...
...
@@ -247,6 +264,8 @@ class Executor(object):
"""
if
feed
is
None
:
feed
=
{}
if
not
isinstance
(
feed
,
dict
):
raise
TypeError
(
"feed should be a map"
)
if
fetch_list
is
None
:
fetch_list
=
[]
...
...
@@ -260,10 +279,7 @@ class Executor(object):
scope
=
global_scope
()
program_cache
=
None
feed_var_names
=
feed
.
keys
()
fetch_var_names
=
[
var
.
desc
.
name
()
for
var
in
fetch_list
]
program_cache_key
=
str
(
feed_var_names
+
fetch_var_names
)
program_cache_key
=
get_program_cache_key
(
feed
,
fetch_list
)
if
use_program_cache
:
# find program cache by cache_key
...
...
python/paddle/fluid/tests/unittests/test_learning_rate_decay.py
浏览文件 @
1ee77841
...
...
@@ -89,7 +89,7 @@ class TestLearningRateDecay(unittest.TestCase):
exe
.
run
(
fluid
.
default_startup_program
())
for
step
in
range
(
10
):
lr_val
,
=
exe
.
run
(
fluid
.
default_main_program
(),
feed
=
[]
,
feed
=
{}
,
fetch_list
=
[
decayed_lr
])
python_decayed_lr
=
python_decay_fn
(
global_step
=
float
(
step
),
**
kwargs
)
...
...
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