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6dd21658
编写于
3月 01, 2017
作者:
Y
Yu Yang
浏览文件
操作
浏览文件
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电子邮件补丁
差异文件
Add config_base.py for Layer
上级
91f13e48
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
73 addition
and
72 deletion
+73
-72
python/paddle/v2/config_base.py
python/paddle/v2/config_base.py
+72
-0
python/paddle/v2/layer.py
python/paddle/v2/layer.py
+1
-72
未找到文件。
python/paddle/v2/config_base.py
0 → 100644
浏览文件 @
6dd21658
import
collections
from
paddle.trainer_config_helpers.default_decorators
import
wrap_name_default
import
paddle.trainer_config_helpers
as
conf_helps
class
Layer
(
object
):
def
__init__
(
self
,
name
=
None
,
parent_layers
=
None
):
assert
isinstance
(
parent_layers
,
dict
)
self
.
name
=
name
self
.
__parent_layers__
=
parent_layers
def
to_proto
(
self
,
context
):
"""
function to set proto attribute
"""
kwargs
=
dict
()
for
layer_name
in
self
.
__parent_layers__
:
if
not
isinstance
(
self
.
__parent_layers__
[
layer_name
],
collections
.
Sequence
):
v1_layer
=
self
.
__parent_layers__
[
layer_name
].
to_proto
(
context
=
context
)
else
:
v1_layer
=
map
(
lambda
x
:
x
.
to_proto
(
context
=
context
),
self
.
__parent_layers__
[
layer_name
])
kwargs
[
layer_name
]
=
v1_layer
if
self
.
name
is
None
:
return
self
.
to_proto_impl
(
**
kwargs
)
elif
self
.
name
not
in
context
:
context
[
self
.
name
]
=
self
.
to_proto_impl
(
**
kwargs
)
return
context
[
self
.
name
]
def
to_proto_impl
(
self
,
**
kwargs
):
raise
NotImplementedError
()
def
__convert_to_v2__
(
method_name
,
parent_names
,
is_default_name
=
True
):
if
is_default_name
:
wrapper
=
wrap_name_default
(
name_prefix
=
method_name
)
else
:
wrapper
=
None
class
V2LayerImpl
(
Layer
):
def
__init__
(
self
,
**
kwargs
):
parent_layers
=
dict
()
other_kwargs
=
dict
()
for
pname
in
parent_names
:
if
kwargs
.
has_key
(
pname
):
parent_layers
[
pname
]
=
kwargs
[
pname
]
for
key
in
kwargs
.
keys
():
if
key
not
in
parent_names
:
other_kwargs
[
key
]
=
kwargs
[
key
]
name
=
kwargs
.
get
(
'name'
,
None
)
super
(
V2LayerImpl
,
self
).
__init__
(
name
,
parent_layers
)
self
.
__other_kwargs__
=
other_kwargs
if
wrapper
is
not
None
:
__init__
=
wrapper
(
__init__
)
def
to_proto_impl
(
self
,
**
kwargs
):
args
=
dict
()
for
each
in
kwargs
:
args
[
each
]
=
kwargs
[
each
]
for
each
in
self
.
__other_kwargs__
:
args
[
each
]
=
self
.
__other_kwargs__
[
each
]
return
getattr
(
conf_helps
,
method_name
)(
**
args
)
return
V2LayerImpl
python/paddle/v2/layer.py
浏览文件 @
6dd21658
...
...
@@ -65,10 +65,7 @@ to be in a Python function but could be anywhere.
Also, the creation of a protobuf message is hidden in the invocation of
paddle.v2.parameters.create, no longer exposed to users.
"""
import
collections
import
inspect
from
config_base
import
Layer
,
__convert_to_v2__
import
paddle.trainer_config_helpers
as
conf_helps
from
paddle.trainer_config_helpers.config_parser_utils
import
\
parse_network_config
as
__parse__
...
...
@@ -107,74 +104,6 @@ def parse_network(*outputs):
return
__parse__
(
__real_func__
)
class
Layer
(
object
):
def
__init__
(
self
,
name
=
None
,
parent_layers
=
None
):
assert
isinstance
(
parent_layers
,
dict
)
self
.
name
=
name
self
.
__parent_layers__
=
parent_layers
def
to_proto
(
self
,
context
):
"""
function to set proto attribute
"""
kwargs
=
dict
()
for
layer_name
in
self
.
__parent_layers__
:
if
not
isinstance
(
self
.
__parent_layers__
[
layer_name
],
collections
.
Sequence
):
v1_layer
=
self
.
__parent_layers__
[
layer_name
].
to_proto
(
context
=
context
)
else
:
v1_layer
=
map
(
lambda
x
:
x
.
to_proto
(
context
=
context
),
self
.
__parent_layers__
[
layer_name
])
kwargs
[
layer_name
]
=
v1_layer
if
self
.
name
is
None
:
return
self
.
to_proto_impl
(
**
kwargs
)
elif
self
.
name
not
in
context
:
context
[
self
.
name
]
=
self
.
to_proto_impl
(
**
kwargs
)
return
context
[
self
.
name
]
def
to_proto_impl
(
self
,
**
kwargs
):
raise
NotImplementedError
()
def
__convert_to_v2__
(
method_name
,
parent_names
,
is_default_name
=
True
):
if
is_default_name
:
wrapper
=
wrap_name_default
(
name_prefix
=
method_name
)
else
:
wrapper
=
None
class
V2LayerImpl
(
Layer
):
def
__init__
(
self
,
**
kwargs
):
parent_layers
=
dict
()
other_kwargs
=
dict
()
for
pname
in
parent_names
:
if
kwargs
.
has_key
(
pname
):
parent_layers
[
pname
]
=
kwargs
[
pname
]
for
key
in
kwargs
.
keys
():
if
key
not
in
parent_names
:
other_kwargs
[
key
]
=
kwargs
[
key
]
name
=
kwargs
.
get
(
'name'
,
None
)
super
(
V2LayerImpl
,
self
).
__init__
(
name
,
parent_layers
)
self
.
__other_kwargs__
=
other_kwargs
if
wrapper
is
not
None
:
__init__
=
wrapper
(
__init__
)
def
to_proto_impl
(
self
,
**
kwargs
):
args
=
dict
()
for
each
in
kwargs
:
args
[
each
]
=
kwargs
[
each
]
for
each
in
self
.
__other_kwargs__
:
args
[
each
]
=
self
.
__other_kwargs__
[
each
]
return
getattr
(
conf_helps
,
method_name
)(
**
args
)
return
V2LayerImpl
"""
Some layer may need some special config, and can not use __convert_to_v2__ to convert.
So we also need to implement some special LayerV2.
...
...
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