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b3fdf708
编写于
1月 22, 2019
作者:
X
Xin Pan
提交者:
GitHub
1月 22, 2019
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差异文件
Merge pull request #15454 from panyx0718/api3
tweak the executor implementation to better match origin behavior
上级
a8aa7913
1d31a0e1
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
17 addition
and
18 deletion
+17
-18
python/paddle/fluid/executor.py
python/paddle/fluid/executor.py
+17
-18
未找到文件。
python/paddle/fluid/executor.py
浏览文件 @
b3fdf708
...
...
@@ -305,7 +305,9 @@ class Executor(object):
def
__init__
(
self
,
place
):
self
.
place
=
place
self
.
program_caches
=
dict
()
self
.
executor
=
None
p
=
core
.
Place
()
p
.
set_place
(
self
.
place
)
self
.
_default_executor
=
core
.
Executor
(
p
)
self
.
_closed
=
False
def
_get_program_cache
(
self
,
program_cache_key
):
...
...
@@ -397,12 +399,13 @@ class Executor(object):
>>> ...
>>> exe.close()
"""
if
not
self
.
_closed
and
self
.
executor
:
self
.
executor
.
close
()
if
not
self
.
_closed
:
self
.
_default_
executor
.
close
()
self
.
_closed
=
True
def
_run_parallel
(
self
,
program
,
scope
,
feed
,
fetch_list
,
fetch_var_name
,
return_numpy
):
exe
=
program
.
_executor
if
isinstance
(
feed
,
dict
):
feed_tensor_dict
=
dict
()
for
feed_name
in
feed
:
...
...
@@ -414,8 +417,7 @@ class Executor(object):
feed_tensor
.
set
(
feed
[
feed_name
],
core
.
CPUPlace
())
feed_tensor_dict
[
feed_name
]
=
feed_tensor
self
.
executor
.
feed_and_split_tensor_into_local_scopes
(
feed_tensor_dict
)
exe
.
feed_and_split_tensor_into_local_scopes
(
feed_tensor_dict
)
elif
isinstance
(
feed
,
list
)
or
isinstance
(
feed
,
tuple
):
if
len
(
feed
)
!=
len
(
program
.
_places
):
raise
ValueError
(
...
...
@@ -436,10 +438,10 @@ class Executor(object):
tensor
=
tmp
res_dict
[
feed_name
]
=
tensor
res
.
append
(
res_dict
)
self
.
executor
.
feed_tensors_into_local_scopes
(
res
)
exe
.
feed_tensors_into_local_scopes
(
res
)
fetch_var_names
=
list
(
map
(
_to_name_str
,
fetch_list
))
self
.
executor
.
run
(
fetch_var_names
,
fetch_var_name
)
exe
.
run
(
fetch_var_names
,
fetch_var_name
)
arr
=
scope
.
find_var
(
fetch_var_name
).
get_lod_tensor_array
()
if
return_numpy
:
...
...
@@ -511,12 +513,9 @@ class Executor(object):
compiled
=
isinstance
(
program
,
compiler
.
CompiledProgram
)
# For backward compatibility, run directly.
if
not
compiled
:
if
not
self
.
executor
:
p
=
core
.
Place
()
p
.
set_place
(
self
.
place
)
self
.
executor
=
core
.
Executor
(
p
)
return
self
.
_run
(
program
,
self
.
_default_executor
,
feed
=
feed
,
fetch_list
=
fetch_list
,
feed_var_name
=
feed_var_name
,
...
...
@@ -526,7 +525,6 @@ class Executor(object):
use_program_cache
=
use_program_cache
)
program
.
_compile
(
scope
,
self
.
place
)
self
.
executor
=
program
.
_executor
if
program
.
_is_data_parallel
:
return
self
.
_run_parallel
(
program
,
...
...
@@ -536,12 +534,13 @@ class Executor(object):
fetch_var_name
=
fetch_var_name
,
return_numpy
=
return_numpy
)
elif
program
.
_is_inference
:
return
self
.
_run_inference
(
program
,
feed
)
return
self
.
_run_inference
(
program
.
_executor
,
feed
)
else
:
# TODO(panyx0718): Can compile program to optimize executor
# performance.
return
self
.
_run
(
program
.
_program
,
self
.
_default_executor
,
feed
=
feed
,
fetch_list
=
fetch_list
,
feed_var_name
=
feed_var_name
,
...
...
@@ -550,8 +549,8 @@ class Executor(object):
return_numpy
=
return_numpy
,
use_program_cache
=
use_program_cache
)
def
_run
(
self
,
program
,
feed
,
fetch_list
,
feed_var_name
,
fetch
_var_name
,
scope
,
return_numpy
,
use_program_cache
):
def
_run
(
self
,
program
,
exe
,
feed
,
fetch_list
,
feed
_var_name
,
fetch_var_name
,
scope
,
return_numpy
,
use_program_cache
):
if
feed
is
None
:
feed
=
{}
...
...
@@ -589,11 +588,11 @@ class Executor(object):
fetch_var_name
=
fetch_var_name
)
self
.
_feed_data
(
program
,
feed
,
feed_var_name
,
scope
)
self
.
executor
.
run
(
program
.
desc
,
scope
,
0
,
True
,
True
)
exe
.
run
(
program
.
desc
,
scope
,
0
,
True
,
True
)
outs
=
self
.
_fetch_data
(
fetch_list
,
fetch_var_name
,
scope
)
if
return_numpy
:
outs
=
as_numpy
(
outs
)
return
outs
def
_run_inference
(
self
,
program
,
feed
):
return
self
.
executor
.
run
(
feed
)
def
_run_inference
(
self
,
exe
,
feed
):
return
exe
.
run
(
feed
)
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