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31ea3231
编写于
1月 09, 2023
作者:
Q
QingshuChen
提交者:
GitHub
1月 09, 2023
浏览文件
操作
浏览文件
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电子邮件补丁
差异文件
add fill/fill_any for kunlun (#49645)
上级
a5bf156b
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
277 addition
and
0 deletion
+277
-0
paddle/phi/backends/xpu/xpu2_op_list.cc
paddle/phi/backends/xpu/xpu2_op_list.cc
+12
-0
paddle/phi/kernels/xpu/fill_kernel.cc
paddle/phi/kernels/xpu/fill_kernel.cc
+29
-0
python/paddle/fluid/tests/unittests/xpu/test_fill_any_op_xpu.py
.../paddle/fluid/tests/unittests/xpu/test_fill_any_op_xpu.py
+125
-0
python/paddle/fluid/tests/unittests/xpu/test_fill_op_xpu.py
python/paddle/fluid/tests/unittests/xpu/test_fill_op_xpu.py
+111
-0
未找到文件。
paddle/phi/backends/xpu/xpu2_op_list.cc
浏览文件 @
31ea3231
...
@@ -214,6 +214,18 @@ XPUOpMap& get_kl2_ops() {
...
@@ -214,6 +214,18 @@ XPUOpMap& get_kl2_ops() {
phi
::
DataType
::
BOOL
,
phi
::
DataType
::
BOOL
,
phi
::
DataType
::
FLOAT16
,
phi
::
DataType
::
FLOAT16
,
phi
::
DataType
::
FLOAT32
})},
phi
::
DataType
::
FLOAT32
})},
{
"fill"
,
XPUKernelSet
({
phi
::
DataType
::
INT64
,
phi
::
DataType
::
INT32
,
phi
::
DataType
::
FLOAT16
,
phi
::
DataType
::
FLOAT64
,
phi
::
DataType
::
FLOAT32
})},
{
"fill_any"
,
XPUKernelSet
({
phi
::
DataType
::
INT64
,
phi
::
DataType
::
INT32
,
phi
::
DataType
::
FLOAT16
,
phi
::
DataType
::
FLOAT64
,
phi
::
DataType
::
FLOAT32
})},
{
"fill_any_like"
,
{
"fill_any_like"
,
XPUKernelSet
({
phi
::
DataType
::
INT64
,
XPUKernelSet
({
phi
::
DataType
::
INT64
,
phi
::
DataType
::
INT32
,
phi
::
DataType
::
INT32
,
...
...
paddle/phi/kernels/xpu/fill_kernel.cc
0 → 100644
浏览文件 @
31ea3231
// 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/phi/kernels/impl/fill_kernel_impl.h"
#include "paddle/phi/backends/cpu/cpu_context.h"
#include "paddle/phi/core/kernel_registry.h"
PD_REGISTER_KERNEL
(
fill
,
XPU
,
ALL_LAYOUT
,
phi
::
FillKernel
,
float
,
double
,
int64_t
,
int
,
phi
::
dtype
::
float16
,
bool
)
{}
python/paddle/fluid/tests/unittests/xpu/test_fill_any_op_xpu.py
0 → 100644
浏览文件 @
31ea3231
# Copyright (c) 2021 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.
import
sys
sys
.
path
.
append
(
".."
)
import
unittest
import
numpy
as
np
from
op_test_xpu
import
XPUOpTest
from
xpu.get_test_cover_info
import
(
XPUOpTestWrapper
,
create_test_class
,
get_xpu_op_support_types
,
)
import
paddle
paddle
.
enable_static
()
class
XPUTestFillAnyOp
(
XPUOpTestWrapper
):
def
__init__
(
self
):
self
.
op_name
=
'fill_any'
self
.
use_dynamic_create_class
=
False
class
TestFillAnyOp
(
XPUOpTest
):
def
setUp
(
self
):
self
.
op_type
=
"fill_any"
self
.
dtype
=
'float64'
self
.
value
=
0.0
self
.
init
()
self
.
inputs
=
{
'X'
:
np
.
random
.
random
((
20
,
30
)).
astype
(
self
.
dtype
)}
self
.
attrs
=
{
'value_float'
:
float
(
self
.
value
),
'value_int'
:
int
(
self
.
value
),
}
self
.
outputs
=
{
'Out'
:
self
.
value
*
np
.
ones_like
(
self
.
inputs
[
"X"
]).
astype
(
self
.
dtype
)
}
def
init
(
self
):
pass
def
test_check_output
(
self
):
self
.
check_output_with_place
(
paddle
.
XPUPlace
(
0
))
def
test_check_grad
(
self
):
self
.
check_grad_with_place
(
paddle
.
XPUPlace
(
0
),
[
'X'
],
'Out'
)
class
TestFillAnyOpFloat32
(
TestFillAnyOp
):
def
init
(
self
):
self
.
dtype
=
np
.
float32
self
.
value
=
0.0
class
TestFillAnyOpFloat16
(
TestFillAnyOp
):
def
init
(
self
):
self
.
dtype
=
np
.
float16
class
TestFillAnyOpvalue1
(
TestFillAnyOp
):
def
init
(
self
):
self
.
dtype
=
np
.
float32
self
.
value
=
111111555
class
TestFillAnyOpvalue2
(
TestFillAnyOp
):
def
init
(
self
):
self
.
dtype
=
np
.
float32
self
.
value
=
11111.1111
class
TestFillAnyInplace
(
unittest
.
TestCase
):
def
test_fill_any_version
(
self
):
with
paddle
.
fluid
.
dygraph
.
guard
():
var
=
paddle
.
to_tensor
(
np
.
ones
((
4
,
2
,
3
)).
astype
(
np
.
float32
))
self
.
assertEqual
(
var
.
inplace_version
,
0
)
var
.
fill_
(
0
)
self
.
assertEqual
(
var
.
inplace_version
,
1
)
var
.
fill_
(
0
)
self
.
assertEqual
(
var
.
inplace_version
,
2
)
var
.
fill_
(
0
)
self
.
assertEqual
(
var
.
inplace_version
,
3
)
def
test_fill_any_eqaul
(
self
):
with
paddle
.
fluid
.
dygraph
.
guard
():
tensor
=
paddle
.
to_tensor
(
np
.
random
.
random
((
20
,
30
)).
astype
(
np
.
float32
)
)
target
=
tensor
.
numpy
()
target
[...]
=
1
tensor
.
fill_
(
1
)
self
.
assertEqual
((
tensor
.
numpy
()
==
target
).
all
().
item
(),
True
)
def
test_backward
(
self
):
with
paddle
.
fluid
.
dygraph
.
guard
():
x
=
paddle
.
full
([
10
,
10
],
-
1.0
,
dtype
=
'float32'
)
x
.
stop_gradient
=
False
y
=
2
*
x
y
.
fill_
(
1
)
y
.
backward
()
np
.
testing
.
assert_array_equal
(
x
.
grad
.
numpy
(),
np
.
zeros
([
10
,
10
])
)
support_types
=
get_xpu_op_support_types
(
'fill_any'
)
for
stype
in
support_types
:
create_test_class
(
globals
(),
XPUTestFillAnyOp
,
stype
)
if
__name__
==
"__main__"
:
unittest
.
main
()
python/paddle/fluid/tests/unittests/xpu/test_fill_op_xpu.py
0 → 100644
浏览文件 @
31ea3231
# Copyright (c) 2019 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.
import
sys
sys
.
path
.
append
(
".."
)
import
unittest
import
numpy
as
np
from
op_test_xpu
import
XPUOpTest
from
xpu.get_test_cover_info
import
(
XPUOpTestWrapper
,
create_test_class
,
get_xpu_op_support_types
,
)
import
paddle
import
paddle.fluid.core
as
core
from
paddle.fluid.op
import
Operator
paddle
.
enable_static
()
class
XPUTestFillOp
(
XPUOpTestWrapper
):
def
__init__
(
self
):
self
.
op_name
=
'fill'
self
.
use_dynamic_create_class
=
False
class
TestFillOp1
(
XPUOpTest
):
def
setUp
(
self
):
self
.
op_type
=
"fill"
val
=
np
.
random
.
random
(
size
=
[
100
,
200
])
self
.
inputs
=
{}
self
.
attrs
=
{
'value'
:
val
.
flatten
().
tolist
(),
'shape'
:
[
100
,
200
],
'dtype'
:
int
(
core
.
VarDesc
.
VarType
.
FP64
),
'force_cpu'
:
False
,
}
self
.
outputs
=
{
'Out'
:
val
.
astype
(
'float64'
)}
def
test_check_output
(
self
):
self
.
check_output_with_place
(
paddle
.
XPUPlace
(
0
))
class
TestFillOp2
(
XPUOpTest
):
def
setUp
(
self
):
self
.
op_type
=
"fill"
val
=
np
.
random
.
random
(
size
=
[
100
,
200
])
self
.
inputs
=
{}
self
.
attrs
=
{
'value'
:
val
.
flatten
().
tolist
(),
'shape'
:
[
100
,
200
],
'dtype'
:
int
(
core
.
VarDesc
.
VarType
.
FP64
),
'force_cpu'
:
True
,
}
self
.
outputs
=
{
'Out'
:
val
.
astype
(
'float64'
)}
def
test_check_output
(
self
):
self
.
check_output
()
class
TestFillOp3
(
unittest
.
TestCase
):
def
check_with_place
(
self
,
place
,
f_cpu
):
scope
=
core
.
Scope
()
# create Out Variable
out
=
scope
.
var
(
'Out'
).
get_tensor
()
# create and run fill_op operator
val
=
np
.
random
.
random
(
size
=
[
300
,
200
])
fill_op
=
Operator
(
"fill"
,
value
=
val
.
flatten
(),
shape
=
[
300
,
200
],
dtype
=
int
(
core
.
VarDesc
.
VarType
.
FP32
),
force_cpu
=
f_cpu
,
Out
=
'Out'
,
)
fill_op
.
run
(
scope
,
place
)
# get result from Out
result_array
=
np
.
array
(
out
)
full_array
=
np
.
array
(
val
,
'float32'
)
np
.
testing
.
assert_array_equal
(
result_array
,
full_array
)
def
test_fill_op
(
self
):
places
=
[
core
.
CPUPlace
()]
if
core
.
is_compiled_with_xpu
():
places
.
append
(
core
.
XPUPlace
(
0
))
for
place
in
places
:
self
.
check_with_place
(
place
,
True
)
self
.
check_with_place
(
place
,
False
)
support_types
=
get_xpu_op_support_types
(
'fill'
)
for
stype
in
support_types
:
create_test_class
(
globals
(),
XPUTestFillOp
,
stype
)
if
__name__
==
'__main__'
:
unittest
.
main
()
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