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66ae0a8c
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体验新版 GitCode,发现更多精彩内容 >>
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66ae0a8c
编写于
1月 03, 2018
作者:
Y
yangyaming
浏览文件
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电子邮件补丁
差异文件
Enhence shrink_rnn_memory_op.
上级
25af35d8
变更
2
显示空白变更内容
内联
并排
Showing
2 changed file
with
20 addition
and
9 deletion
+20
-9
paddle/operators/shrink_rnn_memory_op.cc
paddle/operators/shrink_rnn_memory_op.cc
+16
-5
python/paddle/v2/fluid/tests/test_shrink_rnn_memory.py
python/paddle/v2/fluid/tests/test_shrink_rnn_memory.py
+4
-4
未找到文件。
paddle/operators/shrink_rnn_memory_op.cc
浏览文件 @
66ae0a8c
...
...
@@ -46,8 +46,19 @@ class ShrinkRNNMemoryOp : public ArrayOp {
auto
*
out_var
=
scope
.
FindVar
(
Output
(
"Out"
));
PADDLE_ENFORCE
(
out_var
!=
nullptr
,
"Output Out must be set"
);
auto
&
out_tensor
=
*
out_var
->
GetMutable
<
framework
::
LoDTensor
>
();
// should consider multiple levels
size_t
height
=
dst_num_rows
;
auto
lod_level
=
lod_rank_table
.
level
();
if
(
x_tensor
.
lod
().
size
()
>
lod_level
&&
x_tensor
.
lod
()[
lod_level
].
size
()
<
dst_num_rows
)
{
auto
lod_offset
=
framework
::
GetSubLoDAndAbsoluteOffset
(
x_tensor
.
lod
(),
0
,
dst_num_rows
+
1
,
lod_level
);
height
=
lod_offset
.
second
.
second
;
}
if
(
dst_num_rows
!=
0
)
{
out_tensor
.
ShareDataWith
(
x_tensor
.
Slice
(
0
,
dst_num_rows
));
out_tensor
.
ShareDataWith
(
x_tensor
.
Slice
(
0
,
height
));
}
}
};
...
...
python/paddle/v2/fluid/tests/test_shrink_rnn_memory.py
浏览文件 @
66ae0a8c
...
...
@@ -26,13 +26,13 @@ class TestShrinkRNNMemory(unittest.TestCase):
cpu
=
core
.
CPUPlace
()
tensor
=
core
.
LoDTensor
()
tensor
.
set_lod
([[
0
,
2
,
5
,
6
]])
tensor_np
=
numpy
.
random
.
random
(
size
=
(
3
,
100
)).
astype
(
'float32'
)
tensor_np
=
numpy
.
random
.
random
(
size
=
(
6
,
100
)).
astype
(
'float32'
)
tensor
.
set
(
tensor_np
,
cpu
)
exe
=
Executor
(
cpu
)
outs
=
exe
.
run
(
feed
=
{
'x'
:
tensor
},
fetch_list
=
[
mem1
,
mem2
,
mem3
])
self
.
assertTrue
(
numpy
.
allclose
(
tensor_np
[
0
:
3
],
outs
[
0
]))
self
.
assertTrue
(
numpy
.
allclose
(
tensor_np
[
0
:
2
],
outs
[
1
]))
self
.
assertTrue
(
numpy
.
allclose
(
tensor_np
[
0
:
1
],
outs
[
2
]))
self
.
assertTrue
(
numpy
.
allclose
(
tensor_np
[
0
:
6
],
outs
[
0
]))
self
.
assertTrue
(
numpy
.
allclose
(
tensor_np
[
0
:
5
],
outs
[
1
]))
self
.
assertTrue
(
numpy
.
allclose
(
tensor_np
[
0
:
2
],
outs
[
2
]))
mem3_mean
=
layers
.
mean
(
x
=
mem3
)
append_backward
(
loss
=
mem3_mean
)
...
...
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