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f6d07342
编写于
8月 18, 2018
作者:
T
tensor-tang
浏览文件
操作
浏览文件
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电子邮件补丁
差异文件
refine fusion lstm op test
上级
92890ac2
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
19 addition
and
13 deletion
+19
-13
python/paddle/fluid/tests/unittests/test_fusion_lstm_op.py
python/paddle/fluid/tests/unittests/test_fusion_lstm_op.py
+19
-13
未找到文件。
python/paddle/fluid/tests/unittests/test_fusion_lstm_op.py
浏览文件 @
f6d07342
...
...
@@ -61,28 +61,28 @@ class TestLstmOp(OpTest):
T
=
sum
(
self
.
lod
[
0
])
bs
=
len
(
self
.
lod
[
0
])
x
=
np
.
random
.
normal
(
size
=
(
T
,
self
.
M
)).
astype
(
'float
32
'
)
x
=
np
.
random
.
normal
(
size
=
(
T
,
self
.
M
)).
astype
(
'float
64
'
)
if
self
.
has_initial_state
:
h0
=
np
.
random
.
normal
(
size
=
(
bs
,
self
.
D
)).
astype
(
'float
32
'
)
c0
=
np
.
random
.
normal
(
size
=
(
bs
,
self
.
D
)).
astype
(
'float
32
'
)
h0
=
np
.
random
.
normal
(
size
=
(
bs
,
self
.
D
)).
astype
(
'float
64
'
)
c0
=
np
.
random
.
normal
(
size
=
(
bs
,
self
.
D
)).
astype
(
'float
64
'
)
else
:
h0
=
np
.
zeros
((
bs
,
self
.
D
)).
astype
(
'float
32
'
)
c0
=
np
.
zeros
((
bs
,
self
.
D
)).
astype
(
'float
32
'
)
h0
=
np
.
zeros
((
bs
,
self
.
D
)).
astype
(
'float
64
'
)
c0
=
np
.
zeros
((
bs
,
self
.
D
)).
astype
(
'float
64
'
)
wh
=
np
.
random
.
normal
(
size
=
(
self
.
D
,
4
*
self
.
D
)).
astype
(
'float
32
'
)
wh
=
np
.
random
.
normal
(
size
=
(
self
.
D
,
4
*
self
.
D
)).
astype
(
'float
64
'
)
if
self
.
use_peepholes
:
b
=
np
.
random
.
normal
(
size
=
(
1
,
7
*
self
.
D
)).
astype
(
'float
32
'
)
b
=
np
.
random
.
normal
(
size
=
(
1
,
7
*
self
.
D
)).
astype
(
'float
64
'
)
else
:
b
=
np
.
random
.
normal
(
size
=
(
1
,
4
*
self
.
D
)).
astype
(
'float
32
'
)
b
=
np
.
random
.
normal
(
size
=
(
1
,
4
*
self
.
D
)).
astype
(
'float
64
'
)
w_b
=
np
.
copy
(
b
[:,
0
:
4
*
self
.
D
])
w_c
=
b
[:,
4
*
self
.
D
:]
if
self
.
use_peepholes
else
None
# this is the weight of fc
wx
=
np
.
random
.
normal
(
size
=
(
self
.
M
,
4
*
self
.
D
)).
astype
(
'float
32
'
)
wx
=
np
.
random
.
normal
(
size
=
(
self
.
M
,
4
*
self
.
D
)).
astype
(
'float
64
'
)
# this is the bias of fc
# and it should be manually added into the bias of this fusion LSTM
bx
=
np
.
random
.
normal
(
size
=
(
1
,
4
*
self
.
D
)).
astype
(
'float
32
'
)
bx
=
np
.
random
.
normal
(
size
=
(
1
,
4
*
self
.
D
)).
astype
(
'float
64
'
)
b
[
0
,
0
:
4
*
self
.
D
]
+=
bx
[
0
,
:]
h
,
c
=
fusion_lstm
(
x
,
self
.
lod
,
wx
,
bx
,
h0
,
c0
,
wh
,
w_b
,
w_c
,
self
.
is_reverse
,
ACTIVATION
[
self
.
act_gate
],
...
...
@@ -112,7 +112,7 @@ class TestLstmOp(OpTest):
}
def
test_check_output
(
self
):
self
.
check_output
()
self
.
check_output
(
atol
=
1e-8
)
class
TestLstmOpInitReverse
(
TestLstmOp
):
...
...
@@ -123,16 +123,22 @@ class TestLstmOpInitReverse(TestLstmOp):
class
TestLstmOpMD1
(
TestLstmOp
):
def
set_argument
(
self
):
self
.
M
=
3
5
self
.
M
=
3
6
self
.
D
=
8
class
TestLstmOpMD2
(
TestLstmOp
):
def
set_argument
(
self
):
self
.
M
=
36
self
.
M
=
8
self
.
D
=
8
class
TestLstmOpMD3
(
TestLstmOp
):
def
set_argument
(
self
):
self
.
M
=
15
self
.
D
=
3
class
TestLstmOpBS1
(
TestLstmOp
):
def
set_argument
(
self
):
self
.
lod
=
[[
3
]]
...
...
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