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体验新版 GitCode,发现更多精彩内容 >>
提交
8c594376
编写于
11月 15, 2016
作者:
L
Luo Tao
浏览文件
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电子邮件补丁
差异文件
change is_train to is_generating
上级
ffbf00a0
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1
隐藏空白更改
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Showing
1 changed file
with
8 addition
and
9 deletion
+8
-9
python/paddle/trainer_config_helpers/layers.py
python/paddle/trainer_config_helpers/layers.py
+8
-9
未找到文件。
python/paddle/trainer_config_helpers/layers.py
浏览文件 @
8c594376
...
@@ -494,8 +494,7 @@ def scaling_projection(input, param_attr=None):
...
@@ -494,8 +494,7 @@ def scaling_projection(input, param_attr=None):
:return: A ScalingProjection object
:return: A ScalingProjection object
:rtype: ScalingProjection
:rtype: ScalingProjection
"""
"""
proj
=
ScalingProjection
(
input_layer_name
=
input
.
name
,
proj
=
ScalingProjection
(
input_layer_name
=
input
.
name
,
**
param_attr
.
attr
)
**
param_attr
.
attr
)
proj
.
origin
=
input
proj
.
origin
=
input
return
proj
return
proj
...
@@ -2788,7 +2787,7 @@ def recurrent_group(step,
...
@@ -2788,7 +2787,7 @@ def recurrent_group(step,
reverse
=
False
,
reverse
=
False
,
name
=
None
,
name
=
None
,
targetInlink
=
None
,
targetInlink
=
None
,
is_
train
=
Tru
e
):
is_
generating
=
Fals
e
):
"""
"""
Recurrent layer group is an extremely flexible recurrent unit in
Recurrent layer group is an extremely flexible recurrent unit in
PaddlePaddle. As long as the user defines the calculation done within a
PaddlePaddle. As long as the user defines the calculation done within a
...
@@ -2853,11 +2852,11 @@ def recurrent_group(step,
...
@@ -2853,11 +2852,11 @@ def recurrent_group(step,
:type targetInlink: LayerOutput|SubsequenceInput
:type targetInlink: LayerOutput|SubsequenceInput
:param is_
train: recurrent_group is used for training (True) or generating (False).
:param is_
generating: If is generating, none of input type should be LayerOutput;
If is training, one of the input type must be LayerOutput; else,
else, for training or testing, one of the input type must
none of input type should
be LayerOutput.
be LayerOutput.
: type is_
train: bool
: type is_
generating: bool
:return: LayerOutput object.
:return: LayerOutput object.
:rtype: LayerOutput
:rtype: LayerOutput
...
@@ -2928,7 +2927,7 @@ def recurrent_group(step,
...
@@ -2928,7 +2927,7 @@ def recurrent_group(step,
mix
+=
identity_projection
(
mem
)
mix
+=
identity_projection
(
mem
)
in_args
.
append
(
mem
)
in_args
.
append
(
mem
)
assert
(
is_
train
=
=
has_LayerOutput
)
assert
(
is_
generating
!
=
has_LayerOutput
)
layer_outs
=
step
(
*
in_args
)
layer_outs
=
step
(
*
in_args
)
...
@@ -3225,7 +3224,7 @@ def beam_search(step,
...
@@ -3225,7 +3224,7 @@ def beam_search(step,
input
=
real_input
,
input
=
real_input
,
reverse
=
False
,
reverse
=
False
,
name
=
name
,
name
=
name
,
is_
train
=
Fals
e
)
is_
generating
=
Tru
e
)
return
tmp
return
tmp
...
...
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