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14ebc424
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14ebc424
编写于
10月 24, 2018
作者:
M
minqiyang
浏览文件
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电子邮件补丁
差异文件
Add gpu support for unittest
上级
bd5a82e1
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
33 addition
and
10 deletion
+33
-10
paddle/fluid/operators/math/sequence_pooling_test.cc
paddle/fluid/operators/math/sequence_pooling_test.cc
+33
-10
未找到文件。
paddle/fluid/operators/math/sequence_pooling_test.cc
浏览文件 @
14ebc424
...
...
@@ -19,17 +19,18 @@ limitations under the License. */
template
<
typename
DeviceContext
,
typename
Place
,
typename
T
>
void
TestSequencePoolingSum
(
const
paddle
::
framework
::
LoD
&
lod
)
{
paddle
::
framework
::
LoDTensor
cpu_out_grad
;
paddle
::
framework
::
LoDTensor
cpu_in_grad
;
paddle
::
framework
::
LoDTensor
out_grad
;
paddle
::
framework
::
LoDTensor
in_grad
;
const
size_t
second_dim
=
128u
;
// construct out_grad's tensor in cpu
const
size_t
out_first_dim
=
lod
.
size
()
-
1
;
const
size_t
out_first_dim
=
lod
[
0
]
.
size
()
-
1
;
auto
out_dims
=
paddle
::
framework
::
make_ddim
(
{
static_cast
<
int64_t
>
(
out_first_dim
),
static_cast
<
int64_t
>
(
second_dim
)});
cpu_out_grad
.
mutable_data
<
T
>
(
out_dims
,
paddle
::
platform
::
CPUPlace
());
for
(
int64_t
i
=
0
;
i
<
out_grad
.
numel
();
++
i
)
{
for
(
int64_t
i
=
0
;
i
<
cpu_
out_grad
.
numel
();
++
i
)
{
cpu_out_grad
.
data
<
T
>
()[
i
]
=
static_cast
<
T
>
(
i
);
}
...
...
@@ -58,16 +59,38 @@ void TestSequencePoolingSum(const paddle::framework::LoD& lod) {
paddle
::
operators
::
math
::
SequencePoolGradFunctor
<
DeviceContext
,
T
>
()(
*
context
,
"SUM"
,
out_grad
,
&
in_grad
);
if
(
paddle
::
platform
::
is_cpu_place
(
*
place
))
{
cpu_in_grad
=
in_grad
;
}
else
{
TensorCopySync
(
in_grad
,
paddle
::
platform
::
CPUPlace
(),
&
cpu_in_grad
);
cpu_in_grad
.
set_lod
(
in_grad
.
lod
());
}
EXPECT_EQ
(
in_grad
.
numel
(),
lod
[
0
].
back
()
*
second_dim
);
EXPECT_EQ
(
in_grad
.
lod
(),
lod
);
for
(
int64_t
i
=
0
;
i
<
in_grad
.
lod
()[
0
].
size
()
-
1
;
++
i
)
{
int64_t
begin
=
in_grad
.
lod
()[
0
][
i
];
int64_t
end
=
in_grad
.
lod
()[
0
][
i
+
1
];
paddle
::
framework
::
Tensor
tmp
=
in_grad
.
Slice
(
begin
,
end
);
for
(
int64_t
j
=
0
;
j
!=
tmp
.
numel
()
/
second_dim
;
++
j
)
{
for
(
int64_t
m
=
0
;
m
!=
second_dim
;
++
m
)
{
EXPECT_EQ
(
tmp
.
data
<
T
>
()[
m
+
j
*
second_dim
],
out_grad
.
data
<
T
>
()[
m
+
i
*
second_dim
]);
if
(
paddle
::
platform
::
is_cpu_place
(
*
place
))
{
for
(
int64_t
i
=
0
;
i
<
cpu_in_grad
.
lod
()[
0
].
size
()
-
1
;
++
i
)
{
int64_t
begin
=
in_grad
.
lod
()[
0
][
i
];
int64_t
end
=
in_grad
.
lod
()[
0
][
i
+
1
];
paddle
::
framework
::
Tensor
tmp
=
in_grad
.
Slice
(
begin
,
end
);
for
(
int64_t
j
=
0
;
j
!=
tmp
.
numel
()
/
second_dim
;
++
j
)
{
for
(
int64_t
m
=
0
;
m
!=
second_dim
;
++
m
)
{
EXPECT_EQ
(
tmp
.
data
<
T
>
()[
m
+
j
*
second_dim
],
out_grad
.
data
<
T
>
()[
m
+
i
*
second_dim
]);
}
}
}
}
else
{
for
(
int64_t
i
=
0
;
i
<
cpu_in_grad
.
lod
()[
0
].
size
()
-
1
;
++
i
)
{
int64_t
begin
=
cpu_in_grad
.
lod
()[
0
][
i
];
int64_t
end
=
cpu_in_grad
.
lod
()[
0
][
i
+
1
];
paddle
::
framework
::
Tensor
tmp
=
cpu_in_grad
.
Slice
(
begin
,
end
);
for
(
int64_t
j
=
0
;
j
!=
tmp
.
numel
()
/
second_dim
;
++
j
)
{
for
(
int64_t
m
=
0
;
m
!=
second_dim
;
++
m
)
{
EXPECT_EQ
(
tmp
.
data
<
T
>
()[
m
+
j
*
second_dim
],
cpu_out_grad
.
data
<
T
>
()[
m
+
i
*
second_dim
]);
}
}
}
}
...
...
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