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c35b4b8e
编写于
2月 09, 2022
作者:
F
fwenguang
提交者:
GitHub
2月 09, 2022
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差异文件
[MLU] add gaussian_random mlu kernel (#39338)
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f8ba12e5
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2
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2 changed file
with
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+133
-0
paddle/fluid/operators/gaussian_random_op_mlu.cc
paddle/fluid/operators/gaussian_random_op_mlu.cc
+55
-0
python/paddle/fluid/tests/unittests/mlu/test_gaussian_random_op_mlu.py
.../fluid/tests/unittests/mlu/test_gaussian_random_op_mlu.py
+78
-0
未找到文件。
paddle/fluid/operators/gaussian_random_op_mlu.cc
0 → 100644
浏览文件 @
c35b4b8e
/* 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 <random>
#include "paddle/fluid/framework/generator.h"
#include "paddle/fluid/framework/op_registry.h"
namespace
paddle
{
namespace
operators
{
using
Tensor
=
framework
::
Tensor
;
template
<
typename
T
>
class
MLUGaussianRandomKernel
:
public
framework
::
OpKernel
<
T
>
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
float
mean
=
context
.
Attr
<
float
>
(
"mean"
);
float
std
=
context
.
Attr
<
float
>
(
"std"
);
auto
*
tensor
=
context
.
Output
<
framework
::
Tensor
>
(
"Out"
);
tensor
->
mutable_data
<
T
>
(
context
.
GetPlace
());
Tensor
cpu_tensor
(
tensor
->
type
());
cpu_tensor
.
Resize
(
tensor
->
dims
());
T
*
cpu_data
=
cpu_tensor
.
mutable_data
<
T
>
(
platform
::
CPUPlace
());
std
::
normal_distribution
<
T
>
dist
(
mean
,
std
);
int64_t
size
=
tensor
->
numel
();
unsigned
int
seed
=
static_cast
<
unsigned
int
>
(
context
.
Attr
<
int
>
(
"seed"
));
auto
engine
=
framework
::
GetCPURandomEngine
(
seed
);
for
(
int64_t
i
=
0
;
i
<
size
;
++
i
)
{
cpu_data
[
i
]
=
dist
(
*
engine
);
}
auto
&
dev_ctx
=
context
.
template
device_context
<
paddle
::
platform
::
MLUDeviceContext
>();
framework
::
TensorCopy
(
cpu_tensor
,
context
.
GetPlace
(),
dev_ctx
,
tensor
);
}
};
}
// namespace operators
}
// namespace paddle
namespace
ops
=
paddle
::
operators
;
REGISTER_OP_MLU_KERNEL
(
gaussian_random
,
ops
::
MLUGaussianRandomKernel
<
float
>
);
python/paddle/fluid/tests/unittests/mlu/test_gaussian_random_op_mlu.py
0 → 100644
浏览文件 @
c35b4b8e
# 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
unittest
import
numpy
as
np
import
paddle
import
paddle.fluid
as
fluid
import
paddle.fluid.core
as
core
from
paddle.fluid.op
import
Operator
from
paddle.fluid.executor
import
Executor
import
sys
sys
.
path
.
append
(
'..'
)
from
op_test
import
OpTest
import
paddle
class
TestGaussianRandomOp
(
OpTest
):
def
setUp
(
self
):
self
.
op_type
=
"gaussian_random"
self
.
place
=
paddle
.
device
.
MLUPlace
(
0
)
self
.
__class__
.
use_mlu
=
True
self
.
set_attrs
()
self
.
inputs
=
{}
self
.
attrs
=
{
"shape"
:
[
123
,
92
],
"mean"
:
self
.
mean
,
"std"
:
self
.
std
,
"seed"
:
10
,
}
paddle
.
seed
(
10
)
self
.
outputs
=
{
'Out'
:
np
.
zeros
((
123
,
92
),
dtype
=
'float32'
)}
def
set_attrs
(
self
):
self
.
mean
=
1.0
self
.
std
=
2.
def
test_check_output
(
self
):
self
.
check_output_with_place_customized
(
self
.
verify_output
,
self
.
place
)
# self.check_output_customized(self.verify_output, self.place)
def
verify_output
(
self
,
outs
):
self
.
assertEqual
(
outs
[
0
].
shape
,
(
123
,
92
))
hist
,
_
=
np
.
histogram
(
outs
[
0
],
range
=
(
-
3
,
5
))
hist
=
hist
.
astype
(
"float32"
)
hist
/=
float
(
outs
[
0
].
size
)
data
=
np
.
random
.
normal
(
size
=
(
123
,
92
),
loc
=
1
,
scale
=
2
)
hist2
,
_
=
np
.
histogram
(
data
,
range
=
(
-
3
,
5
))
hist2
=
hist2
.
astype
(
"float32"
)
hist2
/=
float
(
outs
[
0
].
size
)
self
.
assertTrue
(
np
.
allclose
(
hist
,
hist2
,
rtol
=
0
,
atol
=
0.01
),
"hist: "
+
str
(
hist
)
+
" hist2: "
+
str
(
hist2
))
class
TestMeanStdAreInt
(
TestGaussianRandomOp
):
def
set_attrs
(
self
):
self
.
mean
=
1
self
.
std
=
2
if
__name__
==
"__main__"
:
paddle
.
enable_static
()
unittest
.
main
()
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