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a398e25d
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体验新版 GitCode,发现更多精彩内容 >>
提交
a398e25d
编写于
12月 18, 2017
作者:
Y
yangyaming
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电子邮件补丁
差异文件
Expose param_attr and bias_attr.
上级
ed56ed9f
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
13 addition
and
1 deletion
+13
-1
paddle/operators/lstm_unit_op.cc
paddle/operators/lstm_unit_op.cc
+4
-1
python/paddle/v2/fluid/layers/nn.py
python/paddle/v2/fluid/layers/nn.py
+9
-0
未找到文件。
paddle/operators/lstm_unit_op.cc
浏览文件 @
a398e25d
...
...
@@ -51,7 +51,10 @@ class LstmUnitOpMaker : public framework::OpProtoAndCheckerMaker {
LstmUnitOpMaker
(
framework
::
OpProto
*
proto
,
framework
::
OpAttrChecker
*
op_checker
)
:
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"FC input before the non-linear activation."
);
AddInput
(
"X"
,
"Lstm unit only applies non-linear activations, please make sure"
"that linear tranformation has already been applied to `X`. "
"Linear tranformation can be applied by adding a `fc` layer"
);
AddInput
(
"C_prev"
,
"The cell state tensor of last time-step in the Lstm Unit operator."
);
...
...
python/paddle/v2/fluid/layers/nn.py
浏览文件 @
a398e25d
...
...
@@ -5,6 +5,7 @@ All layers just related to the neural network.
from
..layer_helper
import
LayerHelper
from
..initializer
import
Normal
,
Constant
from
..framework
import
Variable
from
..param_attr
import
ParamAttr
from
tensor
import
concat
__all__
=
[
...
...
@@ -796,6 +797,8 @@ def lstm_unit(x_t,
hidden_t_prev
,
cell_t_prev
,
forget_bias
=
0.0
,
param_attr
=
None
,
bias_attr
=
ParamAttr
(),
main_program
=
None
,
startup_program
=
None
):
"""Lstm unit layer. The equation of a lstm step is:
...
...
@@ -836,6 +839,10 @@ def lstm_unit(x_t,
hidden_t_prev (Variable): The hidden value of lstm unit.
cell_t_prev (Variable): The cell value of lstm unit.
forget_bias (float): The forget bias of lstm unit.
param_attr (ParamAttr): The attributes of parameter weights, used to set
initializer, name etc.
bias_attr (ParamAttr): The attributes of bias weights, used to set
initializer, name etc.
main_program (Program): The main program.
startup_program (Program): the startup program.
...
...
@@ -882,6 +889,8 @@ def lstm_unit(x_t,
startup_program
=
startup_program
)
fc_out
=
fc
(
input
=
concat_out
,
size
=
4
*
size
,
param_attr
=
param_attr
,
bias_attr
=
bias_attr
,
main_program
=
main_program
,
startup_program
=
startup_program
)
dtype
=
x_t
.
dtype
...
...
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