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体验新版 GitCode,发现更多精彩内容 >>
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4a6f7cec
编写于
11月 24, 2021
作者:
文幕地方
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差异文件
pair param with key when load trained model params
上级
91b79f69
变更
1
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1 changed file
with
10 addition
and
9 deletion
+10
-9
ppocr/utils/save_load.py
ppocr/utils/save_load.py
+10
-9
未找到文件。
ppocr/utils/save_load.py
浏览文件 @
4a6f7cec
...
...
@@ -57,22 +57,23 @@ def load_model(config, model, optimizer=None):
if
checkpoints
.
endswith
(
'pdparams'
):
checkpoints
=
checkpoints
.
replace
(
'.pdparams'
,
''
)
assert
os
.
path
.
exists
(
checkpoints
+
".pdparams"
),
\
f
"The
{
checkpoints
}
.pdparams does not exists!"
"The {}.pdparams does not exists!"
.
format
(
checkpoints
)
# load params from trained model
params
=
paddle
.
load
(
checkpoints
+
'.pdparams'
)
state_dict
=
model
.
state_dict
()
new_state_dict
=
{}
for
key
,
value
in
state_dict
.
items
():
if
key
not
in
params
:
logger
.
warning
(
f
"
{
key
}
not in loaded params
{
params
.
keys
()
}
!"
)
logger
.
warning
(
"{} not in loaded params {} !"
.
format
(
key
,
params
.
keys
()))
pre_value
=
params
[
key
]
if
list
(
value
.
shape
)
==
list
(
pre_value
.
shape
):
new_state_dict
[
key
]
=
pre_value
else
:
logger
.
warning
(
f
"The shape of model params
{
key
}
{
value
.
shape
}
not matched with loaded params shape
{
pre_value
.
shape
}
!"
)
"The shape of model params {} {} not matched with loaded params shape {} !"
.
format
(
key
,
value
.
shape
,
pre_value
.
shape
)
)
model
.
set_state_dict
(
new_state_dict
)
optim_dict
=
paddle
.
load
(
checkpoints
+
'.pdopt'
)
...
...
@@ -99,7 +100,7 @@ def load_pretrained_params(model, path):
if
path
.
endswith
(
'pdparams'
):
path
=
path
.
replace
(
'.pdparams'
,
''
)
assert
os
.
path
.
exists
(
path
+
".pdparams"
),
\
f
"The
{
path
}
.pdparams does not exists!"
"The {}.pdparams does not exists!"
.
format
(
path
)
params
=
paddle
.
load
(
path
+
'.pdparams'
)
state_dict
=
model
.
state_dict
()
...
...
@@ -109,10 +110,10 @@ def load_pretrained_params(model, path):
new_state_dict
[
k1
]
=
params
[
k2
]
else
:
logger
.
warning
(
f
"The shape of model params
{
k1
}
{
state_dict
[
k1
].
shape
}
not matched with loaded params
{
k2
}
{
params
[
k2
].
shape
}
!"
)
"The shape of model params {} {} not matched with loaded params {} {} !"
.
format
(
k1
,
state_dict
[
k1
].
shape
,
k2
,
params
[
k2
].
shape
)
)
model
.
set_state_dict
(
new_state_dict
)
logger
.
info
(
f
"load pretrain successful from
{
path
}
"
)
logger
.
info
(
"load pretrain successful from {}"
.
format
(
path
)
)
return
model
...
...
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