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体验新版 GitCode,发现更多精彩内容 >>
提交
e1f475ad
编写于
1月 17, 2018
作者:
K
Kexin Zhao
浏览文件
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差异文件
refine code
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ed3e5717
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Showing
1 changed file
with
29 addition
and
21 deletion
+29
-21
python/paddle/v2/fluid/io.py
python/paddle/v2/fluid/io.py
+29
-21
未找到文件。
python/paddle/v2/fluid/io.py
浏览文件 @
e1f475ad
...
@@ -192,6 +192,33 @@ def get_inference_program(target_vars, main_program=None):
...
@@ -192,6 +192,33 @@ def get_inference_program(target_vars, main_program=None):
return
inference_program
return
inference_program
def
prepend_feed_ops
(
inference_program
,
feeded_var_names
):
global_block
=
inference_program
.
global_block
()
feed_var
=
global_block
.
create_var
(
name
=
'feed'
,
type
=
core
.
VarDesc
.
VarType
.
FEED_MINIBATCH
,
persistable
=
True
)
for
i
,
name
in
enumerate
(
feeded_var_names
):
out
=
global_block
.
var
(
name
)
global_block
.
prepend_op
(
type
=
'feed'
,
inputs
=
{
'X'
:
[
feed_var
]},
outputs
=
{
'Out'
:
[
out
]},
attrs
=
{
'col'
:
i
})
def
append_fetch_ops
(
inference_program
,
fetch_var_names
):
global_block
=
inference_program
.
global_block
()
fetch_var
=
global_block
.
create_var
(
name
=
'fetch'
,
type
=
core
.
VarDesc
.
VarType
.
FETCH_LIST
,
persistable
=
True
)
for
i
,
name
in
enumerate
(
fetch_var_names
):
global_block
.
append_op
(
type
=
'fetch'
,
inputs
=
{
'X'
:
[
name
]},
outputs
=
{
'Out'
:
[
fetch_var
]},
attrs
=
{
'col'
:
i
})
def
save_inference_model
(
dirname
,
def
save_inference_model
(
dirname
,
feeded_var_names
,
feeded_var_names
,
target_vars
,
target_vars
,
...
@@ -244,27 +271,8 @@ def save_inference_model(dirname,
...
@@ -244,27 +271,8 @@ def save_inference_model(dirname,
# Save only programDesc of inference_program in binary format
# Save only programDesc of inference_program in binary format
# in another file: __model__.dat
# in another file: __model__.dat
global_block
=
inference_program
.
global_block
()
prepend_feed_ops
(
inference_program
,
feeded_var_names
)
feed_var
=
global_block
.
create_var
(
append_fetch_ops
(
inference_program
,
fetch_var_names
)
name
=
'feed'
,
type
=
core
.
VarDesc
.
VarType
.
FEED_MINIBATCH
,
persistable
=
True
)
for
i
,
name
in
enumerate
(
feeded_var_names
):
out
=
global_block
.
var
(
name
)
global_block
.
prepend_op
(
type
=
'feed'
,
inputs
=
{
'X'
:
[
feed_var
]},
outputs
=
{
'Out'
:
[
out
]},
attrs
=
{
'col'
:
i
})
fetch_var
=
global_block
.
create_var
(
name
=
'fetch'
,
type
=
core
.
VarDesc
.
VarType
.
FETCH_LIST
,
persistable
=
True
)
for
i
,
name
in
enumerate
(
fetch_var_names
):
global_block
.
append_op
(
type
=
'fetch'
,
inputs
=
{
'X'
:
[
name
]},
outputs
=
{
'Out'
:
[
fetch_var
]},
attrs
=
{
'col'
:
i
})
with
open
(
model_file_name
+
".dat"
,
"wb"
)
as
fp
:
with
open
(
model_file_name
+
".dat"
,
"wb"
)
as
fp
:
fp
.
write
(
inference_program
.
desc
.
serialize_to_string
())
fp
.
write
(
inference_program
.
desc
.
serialize_to_string
())
...
...
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