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PaddleDetection
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230c8c1e
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PaddleDetection
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230c8c1e
编写于
1月 18, 2021
作者:
K
Kaipeng Deng
提交者:
GitHub
1月 18, 2021
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fix feed var need prune when export (#2054)
* fix feed var need prune when export * fix format * fix format
上级
d4b30ff2
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1
隐藏空白更改
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Showing
1 changed file
with
26 addition
and
1 deletion
+26
-1
dygraph/ppdet/engine/trainer.py
dygraph/ppdet/engine/trainer.py
+26
-1
未找到文件。
dygraph/ppdet/engine/trainer.py
浏览文件 @
230c8c1e
...
@@ -327,5 +327,30 @@ class Trainer(object):
...
@@ -327,5 +327,30 @@ class Trainer(object):
# dy2st and save model
# dy2st and save model
static_model
=
paddle
.
jit
.
to_static
(
self
.
model
,
input_spec
=
input_spec
)
static_model
=
paddle
.
jit
.
to_static
(
self
.
model
,
input_spec
=
input_spec
)
paddle
.
jit
.
save
(
static_model
,
os
.
path
.
join
(
save_dir
,
'model'
))
# NOTE: dy2st do not pruned program, but jit.save will prune program
# input spec, prune input spec here and save with pruned input spec
pruned_input_spec
=
self
.
_prune_input_spec
(
input_spec
,
static_model
.
forward
.
main_program
,
static_model
.
forward
.
outputs
)
paddle
.
jit
.
save
(
static_model
,
os
.
path
.
join
(
save_dir
,
'model'
),
input_spec
=
pruned_input_spec
)
logger
.
info
(
"Export model and saved in {}"
.
format
(
save_dir
))
logger
.
info
(
"Export model and saved in {}"
.
format
(
save_dir
))
def
_prune_input_spec
(
self
,
input_spec
,
program
,
targets
):
# try to prune static program to figure out pruned input spec
# so we perform following operations in static mode
paddle
.
enable_static
()
pruned_input_spec
=
[{}]
program
=
program
.
clone
()
program
=
program
.
_prune
(
targets
=
targets
)
global_block
=
program
.
global_block
()
for
name
,
spec
in
input_spec
[
0
].
items
():
try
:
v
=
global_block
.
var
(
name
)
pruned_input_spec
[
0
][
name
]
=
spec
except
Exception
:
pass
paddle
.
disable_static
()
return
pruned_input_spec
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