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50d2a350
编写于
1月 06, 2020
作者:
Y
Yang Zhang
浏览文件
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浏览文件
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电子邮件补丁
差异文件
Refactor startup and weight loading
上级
db7cfc1c
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
14 addition
and
13 deletion
+14
-13
model.py
model.py
+14
-13
未找到文件。
model.py
浏览文件 @
50d2a350
...
...
@@ -114,6 +114,7 @@ class StaticGraphAdapter(object):
# so we need to keep track of the parameters already created
self
.
_startup_prog
=
fluid
.
default_startup_program
()
self
.
_orig_prog
=
fluid
.
default_main_program
()
self
.
_lazy_load_path
=
None
self
.
_label_vars
=
{}
# label variables
self
.
_endpoints
=
{}
...
...
@@ -182,6 +183,12 @@ class StaticGraphAdapter(object):
_save
(
optim
,
optim_path
)
def
load
(
self
,
path
):
if
self
.
_executor
is
None
:
self
.
_lazy_load_path
=
path
else
:
self
.
_do_load
(
path
)
def
_do_load
(
self
,
path
):
def
_load
(
path
):
if
not
os
.
path
.
exists
(
path
):
return
...
...
@@ -322,21 +329,15 @@ class StaticGraphAdapter(object):
places
=
[
device
.
lower
()
==
'gpu'
and
fluid
.
CUDAPlace
(
i
)
or
fluid
.
CPUPlace
()
for
i
in
device_ids
]
# XXX
only run startup once as *ALL WEIGHTS* should have bee
n
#
initialized upon construction of the model even if `forward()`
#
may run different code path for different mod
e
# XXX
*ALL WEIGHTS* should be initialized upon model constructio
n
#
even if `forward()` may run different code path for different mode
#
therefore startup program only needs to run onc
e
if
self
.
_executor
is
None
:
self
.
_executor
=
fluid
.
Executor
(
places
[
0
])
# XXX incremental initialization
uninitialized
=
[]
for
var_py
in
self
.
_startup_prog
.
list_vars
():
var
=
fluid
.
global_scope
().
find_var
(
var_py
.
name
)
if
var
and
var
.
get_tensor
().
_is_initialized
():
continue
uninitialized
.
append
(
var_py
)
if
uninitialized
:
startup_prog
=
self
.
_startup_prog
.
_prune
(
uninitialized
)
self
.
_executor
.
run
(
startup_prog
)
self
.
_executor
.
run
(
self
.
_startup_prog
)
if
self
.
_lazy_load_path
is
not
None
:
self
.
_do_load
(
self
.
_lazy_load_path
)
self
.
_lazy_load_path
=
None
if
len
(
device_ids
)
<
2
:
return
prog
...
...
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