Skip to content
体验新版
项目
组织
正在加载...
登录
切换导航
打开侧边栏
PaddlePaddle
Paddle
提交
522b3e41
P
Paddle
项目概览
PaddlePaddle
/
Paddle
12 个月 前同步成功
通知
2292
Star
20931
Fork
5422
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
1423
列表
看板
标记
里程碑
合并请求
543
Wiki
0
Wiki
分析
仓库
DevOps
项目成员
Pages
P
Paddle
项目概览
项目概览
详情
发布
仓库
仓库
文件
提交
分支
标签
贡献者
分支图
比较
Issue
1,423
Issue
1,423
列表
看板
标记
里程碑
合并请求
543
合并请求
543
Pages
分析
分析
仓库分析
DevOps
Wiki
0
Wiki
成员
成员
收起侧边栏
关闭侧边栏
动态
分支图
创建新Issue
提交
Issue看板
体验新版 GitCode,发现更多精彩内容 >>
提交
522b3e41
编写于
8月 22, 2018
作者:
T
tensor-tang
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
complete attention lstm op test
上级
93cc29ab
变更
1
显示空白变更内容
内联
并排
Showing
1 changed file
with
52 addition
and
3 deletion
+52
-3
python/paddle/fluid/tests/unittests/test_attention_lstm_op.py
...on/paddle/fluid/tests/unittests/test_attention_lstm_op.py
+52
-3
未找到文件。
python/paddle/fluid/tests/unittests/test_attention_lstm_op.py
浏览文件 @
522b3e41
...
...
@@ -18,6 +18,7 @@ import unittest
import
numpy
as
np
from
op_test
import
OpTest
from
test_fusion_lstm_op
import
fc
,
ACTIVATION
from
test_softmax_op
import
stable_softmax
def
attention_lstm
(
...
...
@@ -32,8 +33,56 @@ def attention_lstm(
act_gate
,
act_cell
,
act_cand
):
hidden
cell
T
=
sum
(
lod
[
0
])
N
=
len
(
lod
[
0
])
M
=
x
.
shape
[
1
]
D
=
b
.
shape
[
1
]
/
4
assert
T
==
x
.
shape
[
0
]
assert
len
(
fcws
)
==
len
(
fcbs
)
hidden
=
[]
cell
=
[]
start_offset
=
0
for
bid
in
range
(
N
):
seq_len
=
lod
[
0
][
bid
]
xi
=
np
.
copy
(
x
[
start_offset
:
seq_len
,
:]).
reshape
(
seq_len
,
M
)
prev_cell
=
np
.
copy
(
c0
[
bid
]).
reshape
([
1
,
D
])
prev_hidden
=
np
.
copy
(
h0
[
bid
]).
reshape
([
1
,
D
])
for
step
in
range
(
seq_len
):
expanded_cell
=
np
.
repeat
(
prev_cell
,
seq_len
,
axis
=
0
)
tmp
=
np
.
concatenate
((
xi
,
expanded_cell
),
axis
=
1
)
assert
tmp
.
shape
[
1
]
==
M
+
D
for
fcid
in
range
(
len
(
fcbs
)):
tmp
=
fc
(
tmp
,
fcws
[
fcid
],
fcbs
[
fcid
])
tmp
=
ACTIVATION
[
'relu'
](
tmp
)
tmp
=
np
.
reshape
(
tmp
,
(
1
,
seq_len
))
tmp
=
stable_softmax
(
tmp
).
reshape
(
seq_len
,
1
)
lstmx
=
xi
*
tmp
# seq * M
lstmx
=
np
.
sum
(
lstmx
.
reshape
(
seq_len
,
M
),
axis
=
0
).
reshape
([
1
,
M
])
lstmin
=
np
.
concatenate
((
prev_hidden
,
lstmx
),
axis
=
1
)
lstmout
=
np
.
dot
(
lstmin
,
w
).
reshape
([
1
,
4
*
D
])
g_f
,
g_i
,
g_o
,
cand
=
np
.
split
(
lstmout
,
4
,
axis
=
1
)
g_f
=
act_gate
(
g_f
).
reshape
([
1
,
D
])
g_i
=
act_gate
(
g_i
).
reshape
([
1
,
D
])
g_o
=
act_gate
(
g_o
).
reshape
([
1
,
D
])
cand
=
act_cand
(
cand
).
reshape
([
1
,
D
])
cell_t
=
(
prev_cell
*
g_f
)
+
(
g_i
*
cand
)
hidden_t
=
g_o
*
act_cell
(
cell_t
)
hidden
.
append
(
hidden_t
.
flatten
())
cell
.
append
(
cell_t
.
flatten
())
prev_cell
=
cell_t
.
reshape
([
1
,
D
])
prev_hidden
=
hidden_t
.
reshape
([
1
,
D
])
start_offset
+=
seq_len
hidden
=
np
.
array
(
hidden
).
astype
(
'float32'
).
reshape
([
T
,
D
])
cell
=
np
.
array
(
cell
).
astype
(
'float32'
).
reshape
([
T
,
D
])
return
hidden
,
cell
...
...
@@ -73,7 +122,7 @@ class TestAttentionLSTMOp(OpTest):
b
=
np
.
random
.
normal
(
size
=
(
1
,
self
.
D
*
4
)).
astype
(
'float32'
)
h
,
c
=
attention_lstm
(
x
,
self
.
lod
,
h0
,
c0
,
[
fcw1
,
fcw2
],
[
fcb1
,
fcb2
],
ACTIVATION
[
self
.
act_gate
],
w
,
b
,
ACTIVATION
[
self
.
act_gate
],
ACTIVATION
[
self
.
act_cell
],
ACTIVATION
[
self
.
act_cand
])
...
...
编辑
预览
Markdown
is supported
0%
请重试
或
添加新附件
.
添加附件
取消
You are about to add
0
people
to the discussion. Proceed with caution.
先完成此消息的编辑!
取消
想要评论请
注册
或
登录