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1a80b484
编写于
6月 09, 2022
作者:
F
fuyou765
提交者:
GitHub
6月 09, 2022
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差异文件
[MLU]add mlu kernel for range op (#43296)
上级
0454b777
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
165 addition
and
0 deletion
+165
-0
paddle/fluid/operators/range_op_mlu.cc
paddle/fluid/operators/range_op_mlu.cc
+72
-0
python/paddle/fluid/tests/unittests/mlu/test_range_op_mlu.py
python/paddle/fluid/tests/unittests/mlu/test_range_op_mlu.py
+93
-0
未找到文件。
paddle/fluid/operators/range_op_mlu.cc
0 → 100644
浏览文件 @
1a80b484
/* Copyright (c) 2022 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. */
#include "paddle/fluid/operators/range_op.h"
namespace
paddle
{
namespace
operators
{
template
<
typename
T
>
class
RangeMLUKernel
:
public
framework
::
OpKernel
<
T
>
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
auto
*
start_t
=
context
.
Input
<
framework
::
Tensor
>
(
"Start"
);
auto
*
end_t
=
context
.
Input
<
framework
::
Tensor
>
(
"End"
);
auto
*
step_t
=
context
.
Input
<
framework
::
Tensor
>
(
"Step"
);
auto
*
out
=
context
.
Output
<
framework
::
Tensor
>
(
"Out"
);
framework
::
Tensor
n
;
framework
::
TensorCopy
(
*
start_t
,
platform
::
CPUPlace
(),
context
.
template
device_context
<
platform
::
MLUDeviceContext
>(),
&
n
);
context
.
template
device_context
<
paddle
::
platform
::
MLUDeviceContext
>()
.
Wait
();
T
start
=
n
.
data
<
T
>
()[
0
];
framework
::
TensorCopy
(
*
end_t
,
platform
::
CPUPlace
(),
context
.
template
device_context
<
platform
::
MLUDeviceContext
>(),
&
n
);
context
.
template
device_context
<
paddle
::
platform
::
MLUDeviceContext
>()
.
Wait
();
T
end
=
n
.
data
<
T
>
()[
0
];
framework
::
TensorCopy
(
*
step_t
,
platform
::
CPUPlace
(),
context
.
template
device_context
<
platform
::
MLUDeviceContext
>(),
&
n
);
context
.
template
device_context
<
paddle
::
platform
::
MLUDeviceContext
>()
.
Wait
();
T
step
=
n
.
data
<
T
>
()[
0
];
int64_t
size
=
0
;
GetSize
(
start
,
end
,
step
,
&
size
);
out
->
Resize
(
phi
::
make_ddim
({
size
}));
out
->
mutable_data
<
T
>
(
context
.
GetPlace
());
std
::
vector
<
T
>
odata
;
T
value
=
start
;
for
(
int64_t
i
=
0
;
i
<
size
;
++
i
)
{
odata
.
push_back
(
value
);
value
+=
step
;
}
framework
::
TensorFromVector
(
odata
,
context
.
device_context
(),
out
);
}
};
}
// namespace operators
}
// namespace paddle
REGISTER_OP_MLU_KERNEL
(
range
,
paddle
::
operators
::
RangeMLUKernel
<
int
>
,
paddle
::
operators
::
RangeMLUKernel
<
int64_t
>
,
paddle
::
operators
::
RangeMLUKernel
<
float
>
,
paddle
::
operators
::
RangeMLUKernel
<
double
>
)
python/paddle/fluid/tests/unittests/mlu/test_range_op_mlu.py
0 → 100644
浏览文件 @
1a80b484
# Copyright (c) 2022 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
paddle
import
unittest
import
numpy
as
np
from
op_test
import
OpTest
from
functools
import
partial
paddle
.
enable_static
()
def
arange_wrapper
(
start
,
end
,
step
,
dtype
=
None
):
return
paddle
.
arange
(
start
,
end
,
step
,
dtype
)
class
TestRangeOp
(
OpTest
):
def
setUp
(
self
):
self
.
op_type
=
"range"
self
.
place
=
paddle
.
device
.
MLUPlace
(
0
)
self
.
__class__
.
use_mlu
=
True
self
.
init_config
()
self
.
inputs
=
{
'Start'
:
np
.
array
([
self
.
case
[
0
]]).
astype
(
self
.
dtype
),
'End'
:
np
.
array
([
self
.
case
[
1
]]).
astype
(
self
.
dtype
),
'Step'
:
np
.
array
([
self
.
case
[
2
]]).
astype
(
self
.
dtype
)
}
self
.
outputs
=
{
'Out'
:
np
.
arange
(
self
.
case
[
0
],
self
.
case
[
1
],
self
.
case
[
2
]).
astype
(
self
.
dtype
)
}
def
init_config
(
self
):
self
.
dtype
=
np
.
float32
self
.
python_api
=
partial
(
arange_wrapper
,
dtype
=
self
.
dtype
)
self
.
case
=
(
0
,
1
,
0.2
)
def
test_check_output
(
self
):
self
.
check_output_with_place
(
self
.
place
,
check_eager
=
False
)
class
TestFloatRangeOpCase0
(
TestRangeOp
):
def
init_config
(
self
):
self
.
dtype
=
np
.
float32
self
.
python_api
=
partial
(
arange_wrapper
,
dtype
=
self
.
dtype
)
self
.
case
=
(
0
,
5
,
1
)
class
TestInt32RangeOpCase0
(
TestRangeOp
):
def
init_config
(
self
):
self
.
dtype
=
np
.
int32
self
.
python_api
=
partial
(
arange_wrapper
,
dtype
=
self
.
dtype
)
self
.
case
=
(
0
,
5
,
2
)
class
TestInt32RangeOpCase1
(
TestRangeOp
):
def
init_config
(
self
):
self
.
dtype
=
np
.
int32
self
.
python_api
=
partial
(
arange_wrapper
,
dtype
=
self
.
dtype
)
self
.
case
=
(
10
,
1
,
-
2
)
class
TestInt32RangeOpCase2
(
TestRangeOp
):
def
init_config
(
self
):
self
.
dtype
=
np
.
int32
self
.
python_api
=
partial
(
arange_wrapper
,
dtype
=
self
.
dtype
)
self
.
case
=
(
-
1
,
-
10
,
-
2
)
if
__name__
==
"__main__"
:
unittest
.
main
()
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