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体验新版 GitCode,发现更多精彩内容 >>
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ac2e2e6b
编写于
2月 03, 2021
作者:
C
cucuzg
提交者:
GitHub
2月 03, 2021
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差异文件
add clip_by_norm on kunlun, *test=kunlun (#30862)
上级
30242717
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
152 addition
and
1 deletion
+152
-1
cmake/external/xpu.cmake
cmake/external/xpu.cmake
+1
-1
paddle/fluid/operators/clip_by_norm_op_xpu.cc
paddle/fluid/operators/clip_by_norm_op_xpu.cc
+74
-0
python/paddle/fluid/tests/unittests/xpu/test_clip_by_norm_op_xpu.py
...dle/fluid/tests/unittests/xpu/test_clip_by_norm_op_xpu.py
+77
-0
未找到文件。
cmake/external/xpu.cmake
浏览文件 @
ac2e2e6b
...
...
@@ -11,7 +11,7 @@ if(NOT XPU_SDK_ROOT)
elseif
(
WITH_SUNWAY
)
SET
(
XPU_URL
"https://baidu-kunlun-public.su.bcebos.com/paddle_depence/sunway/xpu_2021_01_13.tar.gz"
CACHE STRING
""
FORCE
)
else
()
SET
(
XPU_URL
"https://baidu-kunlun-public.su.bcebos.com/paddle_depence/xpu_2021_0
1_1
3.tar.gz"
CACHE STRING
""
FORCE
)
SET
(
XPU_URL
"https://baidu-kunlun-public.su.bcebos.com/paddle_depence/xpu_2021_0
2_0
3.tar.gz"
CACHE STRING
""
FORCE
)
endif
()
SET
(
XPU_SOURCE_DIR
"
${
THIRD_PARTY_PATH
}
/xpu"
)
...
...
paddle/fluid/operators/clip_by_norm_op_xpu.cc
0 → 100644
浏览文件 @
ac2e2e6b
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#ifdef PADDLE_WITH_XPU
#include "paddle/fluid/operators/clip_by_norm_op.h"
#include <vector>
namespace
paddle
{
namespace
operators
{
template
<
typename
DeviceContext
,
typename
T
>
class
XPUClipByNormKernel
:
public
framework
::
OpKernel
<
T
>
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
auto
max_norm
=
context
.
Attr
<
T
>
(
"max_norm"
);
auto
in_var
=
context
.
InputVar
(
"X"
);
Tensor
*
output
=
nullptr
;
const
Tensor
*
input
=
nullptr
;
if
(
in_var
->
IsType
<
framework
::
LoDTensor
>
())
{
input
=
context
.
Input
<
Tensor
>
(
"X"
);
output
=
context
.
Output
<
Tensor
>
(
"Out"
);
output
->
mutable_data
<
T
>
(
context
.
GetPlace
());
}
else
{
PADDLE_THROW
(
platform
::
errors
::
InvalidArgument
(
"Invalid input variable type, only support LodTensor"
"type, but got type is %s."
,
framework
::
ToTypeName
(
in_var
->
Type
())));
}
PADDLE_ENFORCE_NOT_NULL
(
input
,
platform
::
errors
::
InvalidArgument
(
"Input(X) of ClipByNormOp should not be null. "
"Please check if it is created correctly."
));
auto
&
dev_ctx
=
context
.
template
device_context
<
DeviceContext
>();
const
auto
&
x_dims
=
input
->
dims
();
std
::
vector
<
int
>
xshape
(
x_dims
.
size
());
std
::
vector
<
int
>
rdims
(
x_dims
.
size
());
for
(
int
i
=
0
;
i
<
x_dims
.
size
();
i
++
)
{
xshape
[
i
]
=
x_dims
[
i
];
rdims
[
i
]
=
i
;
}
int
r
=
xpu
::
clip_by_norm
<
T
>
(
dev_ctx
.
x_context
(),
input
->
data
<
T
>
(),
output
->
data
<
T
>
(),
max_norm
,
xshape
,
rdims
);
PADDLE_ENFORCE_EQ
(
r
,
XPU_SUCCESS
,
platform
::
errors
::
External
(
"XPU API(clip_by_norm) return "
"wrong value[%d], please check whether "
"Baidu Kunlun Card is properly installed."
,
r
));
}
};
}
// namespace operators
}
// namespace paddle
namespace
ops
=
paddle
::
operators
;
REGISTER_OP_XPU_KERNEL
(
clip_by_norm
,
ops
::
XPUClipByNormKernel
<
paddle
::
platform
::
XPUDeviceContext
,
float
>
);
#endif // PADDLE_WITH_XPU
python/paddle/fluid/tests/unittests/xpu/test_clip_by_norm_op_xpu.py
0 → 100644
浏览文件 @
ac2e2e6b
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from
__future__
import
print_function
import
sys
sys
.
path
.
append
(
".."
)
import
unittest
import
numpy
as
np
import
paddle.fluid.core
as
core
import
paddle.fluid
as
fluid
from
op_test_xpu
import
OpTest
,
XPUOpTest
import
paddle
from
paddle.fluid
import
Program
,
program_guard
class
TestXPUClipByNormOp
(
XPUOpTest
):
def
setUp
(
self
):
self
.
op_type
=
"clip_by_norm"
self
.
dtype
=
np
.
float32
self
.
use_xpu
=
True
self
.
max_relative_error
=
0.006
self
.
initTestCase
()
input
=
np
.
random
.
random
(
self
.
shape
).
astype
(
"float32"
)
input
[
np
.
abs
(
input
)
<
self
.
max_relative_error
]
=
0.5
self
.
inputs
=
{
'X'
:
input
,
}
self
.
attrs
=
{}
self
.
attrs
[
'max_norm'
]
=
self
.
max_norm
norm
=
np
.
sqrt
(
np
.
sum
(
np
.
square
(
input
)))
if
norm
>
self
.
max_norm
:
output
=
self
.
max_norm
*
input
/
norm
else
:
output
=
input
self
.
outputs
=
{
'Out'
:
output
}
def
test_check_output
(
self
):
if
paddle
.
is_compiled_with_xpu
():
paddle
.
enable_static
()
place
=
paddle
.
XPUPlace
(
0
)
self
.
check_output_with_place
(
place
)
def
initTestCase
(
self
):
self
.
shape
=
(
100
,
)
self
.
max_norm
=
1.0
class
TestCase1
(
TestXPUClipByNormOp
):
def
initTestCase
(
self
):
self
.
shape
=
(
100
,
)
self
.
max_norm
=
1e20
class
TestCase2
(
TestXPUClipByNormOp
):
def
initTestCase
(
self
):
self
.
shape
=
(
16
,
16
)
self
.
max_norm
=
0.1
class
TestCase3
(
TestXPUClipByNormOp
):
def
initTestCase
(
self
):
self
.
shape
=
(
4
,
8
,
16
)
self
.
max_norm
=
1.0
if
__name__
==
"__main__"
:
unittest
.
main
()
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