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体验新版 GitCode,发现更多精彩内容 >>
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a3247ab5
编写于
2月 17, 2022
作者:
T
TTerror
提交者:
GitHub
2月 17, 2022
浏览文件
操作
浏览文件
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电子邮件补丁
差异文件
refactoring where/where_index/scatter unittests for kunlun, *test=kunlun (#39619)
上级
c05cd7ed
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
218 addition
and
244 deletion
+218
-244
python/paddle/fluid/tests/unittests/xpu/test_refactor_op_xpu.py
.../paddle/fluid/tests/unittests/xpu/test_refactor_op_xpu.py
+5
-19
python/paddle/fluid/tests/unittests/xpu/test_scatter_op_xpu.py
...n/paddle/fluid/tests/unittests/xpu/test_scatter_op_xpu.py
+103
-130
python/paddle/fluid/tests/unittests/xpu/test_where_index_xpu.py
.../paddle/fluid/tests/unittests/xpu/test_where_index_xpu.py
+63
-57
python/paddle/fluid/tests/unittests/xpu/test_where_op_xpu.py
python/paddle/fluid/tests/unittests/xpu/test_where_op_xpu.py
+47
-38
未找到文件。
python/paddle/fluid/tests/unittests/xpu/test_refactor_op_xpu.py
浏览文件 @
a3247ab5
...
...
@@ -60,10 +60,11 @@ class XPUTestArgsortOp1(XPUOpTestWrapper):
class
TestArgsortOp
(
XPUOpTest
):
def
setUp
(
self
):
self
.
set_xpu
()
self
.
op_type
=
"argsort"
self
.
place
=
paddle
.
XPUPlace
(
0
)
self
.
__class__
.
no_need_check_grad
=
True
self
.
dtype
=
self
.
in_type
self
.
input_shape
=
(
2
,
2
,
2
,
3
,
3
)
self
.
axis
=
-
1
if
not
hasattr
(
self
,
'init_axis'
)
else
self
.
init_axis
self
.
descending
=
False
if
not
hasattr
(
...
...
@@ -94,10 +95,6 @@ class XPUTestArgsortOp1(XPUOpTestWrapper):
self
.
x
,
kind
=
'heapsort'
,
axis
=
self
.
axis
)
self
.
sorted_x
=
np
.
sort
(
self
.
x
,
kind
=
'heapsort'
,
axis
=
self
.
axis
)
def
set_xpu
(
self
):
self
.
__class__
.
use_xpu
=
True
self
.
__class__
.
no_need_check_grad
=
True
def
test_check_output
(
self
):
self
.
check_output_with_place
(
self
.
place
)
...
...
@@ -110,9 +107,10 @@ class XPUTestArgsortOp2(XPUOpTestWrapper):
class
TestArgsortOp
(
XPUOpTest
):
def
setUp
(
self
):
self
.
set_xpu
()
self
.
op_type
=
"argsort"
self
.
place
=
paddle
.
XPUPlace
(
0
)
self
.
__class__
.
no_need_check_grad
=
True
self
.
init_dtype
()
self
.
init_inputshape
()
self
.
init_axis
()
...
...
@@ -143,10 +141,6 @@ class XPUTestArgsortOp2(XPUOpTestWrapper):
self
.
x
,
kind
=
'heapsort'
,
axis
=
self
.
axis
)
self
.
sorted_x
=
np
.
sort
(
self
.
x
,
kind
=
'heapsort'
,
axis
=
self
.
axis
)
def
set_xpu
(
self
):
self
.
__class__
.
use_xpu
=
True
self
.
__class__
.
no_need_check_grad
=
True
def
init_inputshape
(
self
):
self
.
input_shape
=
(
2
,
2
,
2
,
3
,
3
)
...
...
@@ -220,11 +214,9 @@ class XPUTestHuberLossOp(XPUOpTestWrapper):
class
TestHuberLossOp
(
XPUOpTest
):
def
setUp
(
self
):
self
.
set_xpu
()
self
.
op_type
=
'huber_loss'
self
.
place
=
paddle
.
XPUPlace
(
0
)
self
.
init_dtype
()
self
.
dtype
=
self
.
in_type
self
.
set_inputs
()
self
.
set_attrs
()
...
...
@@ -253,12 +245,6 @@ class XPUTestHuberLossOp(XPUOpTestWrapper):
def
set_shape
(
self
):
return
(
100
,
1
)
def
set_xpu
(
self
):
self
.
__class__
.
use_xpu
=
True
def
init_dtype
(
self
):
self
.
dtype
=
self
.
in_type
def
test_check_output
(
self
):
self
.
check_output_with_place
(
self
.
place
)
...
...
python/paddle/fluid/tests/unittests/xpu/test_scatter_op_xpu.py
浏览文件 @
a3247ab5
...
...
@@ -18,152 +18,125 @@ import numpy as np
import
unittest
import
sys
sys
.
path
.
append
(
".."
)
from
op_test
import
OpTest
from
op_test_xpu
import
XPUOpTest
import
paddle
import
paddle.fluid
as
fluid
import
paddle.fluid.core
as
core
from
op_test_xpu
import
XPUOpTest
from
xpu.get_test_cover_info
import
create_test_class
,
get_xpu_op_support_types
,
XPUOpTestWrapper
,
type_dict_str_to_numpy
paddle
.
enable_static
()
class
TestScatterOp
(
XPUOpTest
):
def
setUp
(
self
):
self
.
set_xpu
()
self
.
op_type
=
"scatter"
self
.
place
=
paddle
.
XPUPlace
(
0
)
ref_np
=
np
.
ones
((
3
,
50
)).
astype
(
"float32"
)
index_np
=
np
.
array
([
1
,
2
]).
astype
(
"int32"
)
updates_np
=
np
.
random
.
random
((
2
,
50
)).
astype
(
"float32"
)
output_np
=
np
.
copy
(
ref_np
)
output_np
[
index_np
]
=
updates_np
self
.
inputs
=
{
'X'
:
ref_np
,
'Ids'
:
index_np
,
'Updates'
:
updates_np
}
self
.
outputs
=
{
'Out'
:
output_np
}
def
set_xpu
(
self
):
self
.
__class__
.
use_xpu
=
True
def
test_check_output
(
self
):
self
.
check_output_with_place
(
self
.
place
)
def
test_check_grad
(
self
):
pass
class
XPUTestScatterOp
(
XPUOpTestWrapper
):
def
__init__
(
self
):
self
.
op_name
=
'scatter'
self
.
use_dynamic_create_class
=
True
class
TestScatterOp0
(
TestScatterOp
):
def
setUp
(
self
):
self
.
set_xpu
()
self
.
op_type
=
"scatter"
self
.
place
=
paddle
.
XPUPlace
(
0
)
def
dynamic_create_class
(
self
):
base_class
=
self
.
TestScatterOp
classes
=
[]
test_data_case
=
[]
ref_np
=
np
.
ones
((
3
,
3
)).
astype
(
"float32"
)
index_np
=
np
.
array
([
1
,
2
]).
astype
(
"int32"
)
updates_np
=
np
.
random
.
random
((
2
,
3
)).
astype
(
"float32"
)
# case1
ref_np
=
np
.
ones
((
3
,
50
))
index_np
=
np
.
array
([
1
,
2
])
updates_np
=
np
.
random
.
random
((
2
,
50
))
output_np
=
np
.
copy
(
ref_np
)
output_np
[
index_np
]
=
updates_np
self
.
inputs
=
{
'X'
:
ref_np
,
'Ids'
:
index_np
,
'Updates'
:
updates_np
}
self
.
attrs
=
{
'overwrite'
:
True
}
self
.
outputs
=
{
'Out'
:
output_np
}
class
TestScatterOp1
(
TestScatterOp
):
def
setUp
(
self
):
self
.
set_xpu
()
self
.
op_type
=
"scatter"
self
.
place
=
paddle
.
XPUPlace
(
0
)
ref_np
=
np
.
ones
((
3
,
3
)).
astype
(
"float32"
)
zeros_np
=
np
.
zeros
([
2
,
3
]).
astype
(
'float32'
)
index_np
=
np
.
array
([
1
,
1
]).
astype
(
"int32"
)
updates_np
=
np
.
random
.
random
((
2
,
3
)).
astype
(
"float32"
)
output_np
=
np
.
copy
(
ref_np
)
output_np
[
index_np
]
=
zeros_np
for
i
in
range
(
0
,
len
(
index_np
)):
output_np
[
index_np
[
i
]]
+=
updates_np
[
i
]
self
.
attrs
=
{
'overwrite'
:
False
}
self
.
inputs
=
{
'X'
:
ref_np
,
'Ids'
:
index_np
,
'Updates'
:
updates_np
}
self
.
outputs
=
{
'Out'
:
output_np
}
class
TestScatterOp2
(
TestScatterOp
):
def
setUp
(
self
):
self
.
set_xpu
()
self
.
op_type
=
"scatter"
self
.
place
=
paddle
.
XPUPlace
(
0
)
ref_np
=
np
.
ones
((
3
,
3
)).
astype
(
"float32"
)
index_np
=
np
.
array
([
1
,
2
]).
astype
(
"int32"
)
updates_np
=
np
.
random
.
random
((
2
,
3
)).
astype
(
"float32"
)
data_dict
=
{
'init_ref_np'
:
ref_np
,
'init_index_np'
:
index_np
,
'init_updates_np'
:
updates_np
,
'init_output_np'
:
output_np
,
'test_name'
:
'case1'
}
test_data_case
.
append
(
data_dict
)
# case2
ref_np
=
np
.
ones
((
3
,
3
))
index_np
=
np
.
array
([
1
,
2
])
updates_np
=
np
.
random
.
random
((
2
,
3
))
output_np
=
np
.
copy
(
ref_np
)
output_np
[
index_np
]
=
updates_np
self
.
inputs
=
{
'X'
:
ref_np
,
'Ids'
:
index_np
,
'Updates'
:
updates_np
}
self
.
outputs
=
{
'Out'
:
output_np
}
class
TestScatterOp3
(
TestScatterOp
):
def
setUp
(
self
):
self
.
set_xpu
()
self
.
op_type
=
"scatter"
self
.
place
=
paddle
.
XPUPlace
(
0
)
ref_np
=
np
.
ones
((
3
,
3
))
.
astype
(
"float32"
)
zeros_np
=
np
.
zeros
([
2
,
3
])
.
astype
(
'float32'
)
data_dict
=
{
'init_ref_np'
:
ref_np
,
'init_index_np'
:
index_np
,
'init_updates_np'
:
updates_np
,
'init_output_np'
:
output_np
,
'test_name'
:
'case2'
}
test_data_case
.
append
(
data_dict
)
# case3
ref_np
=
np
.
ones
((
3
,
3
))
zeros_np
=
np
.
zeros
([
2
,
3
])
index_np
=
np
.
array
([
1
,
1
]).
astype
(
"int32"
)
updates_np
=
np
.
random
.
rand
om
((
2
,
3
)).
astype
(
"float32"
)
updates_np
=
np
.
random
.
rand
int
(
low
=-
1000
,
high
=
1000
,
size
=
(
2
,
3
)
)
output_np
=
np
.
copy
(
ref_np
)
output_np
[
index_np
]
=
zeros_np
for
i
in
range
(
0
,
len
(
index_np
)):
output_np
[
index_np
[
i
]]
+=
updates_np
[
i
]
self
.
attrs
=
{
'overwrite'
:
False
}
self
.
inputs
=
{
'X'
:
ref_np
,
'Ids'
:
index_np
,
'Updates'
:
updates_np
}
self
.
outputs
=
{
'Out'
:
output_np
}
class
TestScatterOp4
(
TestScatterOp
):
def
setUp
(
self
):
self
.
set_xpu
()
self
.
op_type
=
"scatter"
self
.
place
=
paddle
.
XPUPlace
(
0
)
ref_np
=
np
.
ones
((
3
,
3
)).
astype
(
"float32"
)
index_np
=
np
.
array
([
1
,
2
]).
astype
(
"int64"
)
updates_np
=
np
.
random
.
random
((
2
,
3
)).
astype
(
"float32"
)
output_np
=
np
.
copy
(
ref_np
)
output_np
[
index_np
]
=
updates_np
self
.
inputs
=
{
'X'
:
ref_np
,
'Ids'
:
index_np
,
'Updates'
:
updates_np
}
self
.
outputs
=
{
'Out'
:
output_np
}
class
TestScatterOp5
(
TestScatterOp
):
def
setUp
(
self
):
self
.
set_xpu
()
self
.
op_type
=
"scatter"
self
.
place
=
paddle
.
XPUPlace
(
0
)
ref_np
=
np
.
ones
((
3
,
3
)).
astype
(
"float32"
)
index_np
=
np
.
array
([
1
,
2
]).
astype
(
"int64"
)
updates_np
=
np
.
random
.
random
((
2
,
3
)).
astype
(
"float32"
)
output_np
=
np
.
copy
(
ref_np
)
output_np
[
index_np
]
=
updates_np
self
.
inputs
=
{
'X'
:
ref_np
,
'Ids'
:
index_np
,
'Updates'
:
updates_np
}
self
.
outputs
=
{
'Out'
:
output_np
}
class
TestScatterOp6
(
TestScatterOp
):
def
setUp
(
self
):
self
.
set_xpu
()
self
.
op_type
=
"scatter"
self
.
place
=
paddle
.
XPUPlace
(
0
)
ref_np
=
np
.
ones
((
3
,
3
)).
astype
(
"int64"
)
index_np
=
np
.
array
([
1
,
2
]).
astype
(
"int64"
)
updates_np
=
np
.
random
.
random
((
2
,
3
)).
astype
(
"int64"
)
output_np
=
np
.
copy
(
ref_np
)
output_np
[
index_np
]
=
updates_np
self
.
inputs
=
{
'X'
:
ref_np
,
'Ids'
:
index_np
,
'Updates'
:
updates_np
}
self
.
outputs
=
{
'Out'
:
output_np
}
data_dict
=
{
'init_ref_np'
:
ref_np
,
'init_index_np'
:
index_np
,
'init_updates_np'
:
updates_np
,
'init_output_np'
:
output_np
,
'test_name'
:
'case3'
}
test_data_case
.
append
(
data_dict
)
for
data_dict
in
test_data_case
:
for
index_type
in
[
'int32'
,
'int64'
]:
for
overwrite
in
[
True
,
False
]:
class_name
=
'XPUTestScatterOp_index_type_'
+
data_dict
[
'test_name'
]
+
'_'
+
str
(
index_type
)
+
'_'
+
str
(
overwrite
)
attr_dict
=
data_dict
attr_dict
[
'index_type'
]
=
type_dict_str_to_numpy
[
index_type
]
attr_dict
[
'init_overwrite'
]
=
overwrite
classes
.
append
([
class_name
,
attr_dict
])
return
base_class
,
classes
class
TestScatterOp
(
XPUOpTest
):
def
setUp
(
self
):
self
.
init_config
()
self
.
index_type
=
np
.
int32
if
not
hasattr
(
self
,
'index_type'
)
else
self
.
index_type
self
.
overwrite
=
True
if
not
hasattr
(
self
,
'init_overwrite'
)
else
self
.
init_overwrite
if
not
hasattr
(
self
,
'init_ref_np'
):
self
.
ref_np
=
np
.
ones
((
3
,
50
)).
astype
(
self
.
dtype
)
self
.
index_np
=
np
.
array
([
1
,
2
]).
astype
(
self
.
index_type
)
self
.
updates_np
=
np
.
random
.
random
((
2
,
50
)).
astype
(
self
.
dtype
)
self
.
output_np
=
np
.
copy
(
self
.
ref_np
)
self
.
output_np
[
self
.
index_np
]
=
self
.
updates_np
else
:
self
.
ref_np
=
self
.
init_ref_np
.
astype
(
self
.
dtype
)
self
.
index_np
=
self
.
init_index_np
.
astype
(
self
.
index_type
)
self
.
updates_np
=
self
.
init_updates_np
.
astype
(
self
.
dtype
)
self
.
output_np
=
self
.
init_output_np
.
astype
(
self
.
dtype
)
self
.
inputs
=
{
'X'
:
self
.
ref_np
,
'Ids'
:
self
.
index_np
,
'Updates'
:
self
.
updates_np
}
self
.
attrs
=
{
'overwrite'
:
self
.
overwrite
}
self
.
outputs
=
{
'Out'
:
self
.
output_np
}
def
init_config
(
self
):
self
.
op_type
=
"scatter"
self
.
place
=
paddle
.
XPUPlace
(
0
)
self
.
dtype
=
self
.
in_type
self
.
__class__
.
no_need_check_grad
=
True
def
test_check_output
(
self
):
self
.
check_output_with_place
(
self
.
place
)
support_types
=
get_xpu_op_support_types
(
'scatter'
)
for
stype
in
support_types
:
create_test_class
(
globals
(),
XPUTestScatterOp
,
stype
)
if
__name__
==
'__main__'
:
unittest
.
main
()
python/paddle/fluid/tests/unittests/xpu/test_where_index_xpu.py
浏览文件 @
a3247ab5
...
...
@@ -16,71 +16,77 @@ from __future__ import print_function
import
numpy
as
np
import
unittest
import
paddle
import
sys
sys
.
path
.
append
(
".."
)
from
op_test
import
OpTest
from
op_test_xpu
import
XPUOpTest
from
paddle.fluid.op
import
Operator
import
paddle
import
paddle.fluid
as
fluid
from
paddle.fluid
import
Program
,
program_guard
paddle
.
enable_static
()
class
TestWhereIndexOp
(
XPUOpTest
):
def
setUp
(
self
):
self
.
set_xpu
()
self
.
op_type
=
"where_index"
self
.
place
=
paddle
.
XPUPlace
(
0
)
self
.
init_config
()
def
test_check_output
(
self
):
self
.
check_output_with_place
(
self
.
place
)
def
test_check_grad
(
self
):
pass
def
init_config
(
self
):
self
.
inputs
=
{
'Condition'
:
np
.
array
([
True
,
False
,
True
]),
}
self
.
outputs
=
{
'Out'
:
np
.
array
([[
0
],
[
2
]],
dtype
=
'int64'
)}
def
set_xpu
(
self
):
self
.
__class__
.
use_xpu
=
True
class
TestNotBool
(
TestWhereIndexOp
):
def
init_config
(
self
):
self
.
inputs
=
{
'Condition'
:
np
.
array
([
1
,
0
,
8
]),
}
self
.
outputs
=
{
'Out'
:
np
.
array
([[
0
],
[
2
]],
dtype
=
'int64'
)}
class
TestAllFalse
(
TestWhereIndexOp
):
def
init_config
(
self
):
self
.
inputs
=
{
'Condition'
:
np
.
array
([
False
,
False
,
False
]),
}
self
.
outputs
=
{
'Out'
:
np
.
array
([],
dtype
=
'int64'
)}
class
TestRank2
(
TestWhereIndexOp
):
def
init_config
(
self
):
self
.
inputs
=
{
'Condition'
:
np
.
array
([[
True
,
False
],
[
False
,
True
]]),
}
self
.
outputs
=
{
'Out'
:
np
.
array
([[
0
,
0
],
[
1
,
1
]],
dtype
=
'int64'
)}
from
op_test_xpu
import
XPUOpTest
from
xpu.get_test_cover_info
import
create_test_class
,
get_xpu_op_support_types
,
XPUOpTestWrapper
paddle
.
enable_static
()
class
TestRank3
(
TestWhereIndexOp
):
def
init_config
(
self
):
self
.
inputs
=
{
'Condition'
:
np
.
array
([[[
True
,
False
],
[
False
,
True
]],
[[
False
,
True
],
[
True
,
False
]],
[[
False
,
False
],
[
False
,
True
]]]),
}
self
.
outputs
=
{
'Out'
:
np
.
array
(
[[
0
,
0
,
0
],
[
0
,
1
,
1
],
[
1
,
0
,
1
],
[
1
,
1
,
0
],
[
2
,
1
,
1
]],
dtype
=
'int64'
)
}
class
XPUTestWhereIndexOp
(
XPUOpTestWrapper
):
def
__init__
(
self
):
self
.
op_name
=
'where_index'
class
TestWhereIndexOp
(
XPUOpTest
):
def
setUp
(
self
):
self
.
init_config
()
self
.
init_data
()
def
test_check_output
(
self
):
self
.
check_output_with_place
(
self
.
place
)
def
init_data
(
self
):
self
.
inputs
=
{
'Condition'
:
np
.
array
([
True
,
False
,
True
]).
astype
(
self
.
dtype
),
}
self
.
outputs
=
{
'Out'
:
np
.
array
([[
0
],
[
2
]],
dtype
=
'int64'
)}
def
init_config
(
self
):
self
.
op_type
=
"where_index"
self
.
place
=
paddle
.
XPUPlace
(
0
)
self
.
dtype
=
self
.
in_type
self
.
__class__
.
no_need_check_grad
=
True
class
TestAllFalse
(
TestWhereIndexOp
):
def
init_data
(
self
):
self
.
inputs
=
{
'Condition'
:
np
.
array
([
False
,
False
,
False
]).
astype
(
self
.
dtype
),
}
self
.
outputs
=
{
'Out'
:
np
.
array
([],
dtype
=
'int64'
)}
class
TestRank2
(
TestWhereIndexOp
):
def
init_data
(
self
):
self
.
inputs
=
{
'Condition'
:
np
.
array
([[
True
,
False
],
[
False
,
True
]]).
astype
(
self
.
dtype
),
}
self
.
outputs
=
{
'Out'
:
np
.
array
([[
0
,
0
],
[
1
,
1
]],
dtype
=
'int64'
)}
class
TestRank3
(
TestWhereIndexOp
):
def
init_data
(
self
):
self
.
inputs
=
{
'Condition'
:
np
.
array
([[[
True
,
False
],
[
False
,
True
]],
[[
False
,
True
],
[
True
,
False
]],
[[
False
,
False
],
[
False
,
True
]]]).
astype
(
self
.
dtype
),
}
self
.
outputs
=
{
'Out'
:
np
.
array
(
[[
0
,
0
,
0
],
[
0
,
1
,
1
],
[
1
,
0
,
1
],
[
1
,
1
,
0
],
[
2
,
1
,
1
]],
dtype
=
'int64'
)
}
support_types
=
get_xpu_op_support_types
(
'where_index'
)
for
stype
in
support_types
:
create_test_class
(
globals
(),
XPUTestWhereIndexOp
,
stype
)
class
TestWhereOpError
(
unittest
.
TestCase
):
...
...
python/paddle/fluid/tests/unittests/xpu/test_where_op_xpu.py
浏览文件 @
a3247ab5
...
...
@@ -18,52 +18,61 @@ import numpy as np
import
unittest
import
sys
sys
.
path
.
append
(
".."
)
from
op_test
import
OpTest
from
op_test_xpu
import
XPUOpTest
import
paddle
import
paddle.fluid
as
fluid
from
paddle.fluid
import
Program
from
paddle.fluid.backward
import
append_backward
paddle
.
enable_static
()
class
TestXPUWhereOp
(
XPUOpTest
):
def
setUp
(
self
):
self
.
op_type
=
"where"
self
.
set_xpu
()
self
.
init_config
()
self
.
inputs
=
{
'Condition'
:
self
.
cond
,
'X'
:
self
.
x
,
'Y'
:
self
.
y
}
self
.
outputs
=
{
'Out'
:
np
.
where
(
self
.
cond
,
self
.
x
,
self
.
y
)}
def
init_config
(
self
):
self
.
x
=
np
.
random
.
uniform
(
-
3
,
5
,
(
100
)).
astype
(
"float32"
)
self
.
y
=
np
.
random
.
uniform
(
-
3
,
5
,
(
100
)).
astype
(
"float32"
)
self
.
cond
=
np
.
zeros
((
100
)).
astype
(
"bool"
)
def
set_xpu
(
self
):
self
.
__class__
.
use_xpu
=
True
self
.
place
=
paddle
.
XPUPlace
(
0
)
def
test_check_output
(
self
):
self
.
check_output_with_place
(
self
.
place
)
def
test_check_grad_normal
(
self
):
self
.
check_grad_with_place
(
self
.
place
,
[
'X'
,
'Y'
],
'Out'
)
from
op_test_xpu
import
XPUOpTest
from
xpu.get_test_cover_info
import
create_test_class
,
get_xpu_op_support_types
,
XPUOpTestWrapper
class
TestXPUWhereOp2
(
TestXPUWhereOp
):
def
init_config
(
self
):
self
.
x
=
np
.
random
.
uniform
(
-
5
,
5
,
(
60
,
2
)).
astype
(
"float32"
)
self
.
y
=
np
.
random
.
uniform
(
-
5
,
5
,
(
60
,
2
)).
astype
(
"float32"
)
self
.
cond
=
np
.
ones
((
60
,
2
)).
astype
(
"bool"
)
paddle
.
enable_static
()
class
TestXPUWhereOp3
(
TestXPUWhereOp
):
def
init_config
(
self
):
self
.
x
=
np
.
random
.
uniform
(
-
3
,
5
,
(
20
,
2
,
4
)).
astype
(
"float32"
)
self
.
y
=
np
.
random
.
uniform
(
-
3
,
5
,
(
20
,
2
,
4
)).
astype
(
"float32"
)
self
.
cond
=
np
.
array
(
np
.
random
.
randint
(
2
,
size
=
(
20
,
2
,
4
)),
dtype
=
bool
)
class
XPUTestWhereOp
(
XPUOpTestWrapper
):
def
__init__
(
self
):
self
.
op_name
=
'where'
class
TestXPUWhereOp
(
XPUOpTest
):
def
setUp
(
self
):
self
.
init_config
()
self
.
init_data
()
self
.
inputs
=
{
'Condition'
:
self
.
cond
,
'X'
:
self
.
x
,
'Y'
:
self
.
y
}
self
.
outputs
=
{
'Out'
:
np
.
where
(
self
.
cond
,
self
.
x
,
self
.
y
)}
def
init_data
(
self
):
self
.
x
=
np
.
random
.
uniform
(
-
3
,
5
,
(
100
)).
astype
(
self
.
dtype
)
self
.
y
=
np
.
random
.
uniform
(
-
3
,
5
,
(
100
)).
astype
(
self
.
dtype
)
self
.
cond
=
np
.
zeros
((
100
)).
astype
(
"bool"
)
def
init_config
(
self
):
self
.
op_type
=
"where"
self
.
dtype
=
self
.
in_type
self
.
place
=
paddle
.
XPUPlace
(
0
)
self
.
__class__
.
no_need_check_grad
=
True
def
test_check_output
(
self
):
self
.
check_output_with_place
(
self
.
place
)
class
TestXPUWhereOp2
(
TestXPUWhereOp
):
def
init_data
(
self
):
self
.
x
=
np
.
random
.
uniform
(
-
5
,
5
,
(
60
,
2
)).
astype
(
self
.
dtype
)
self
.
y
=
np
.
random
.
uniform
(
-
5
,
5
,
(
60
,
2
)).
astype
(
self
.
dtype
)
self
.
cond
=
np
.
ones
((
60
,
2
)).
astype
(
"bool"
)
class
TestXPUWhereOp3
(
TestXPUWhereOp
):
def
init_data
(
self
):
self
.
x
=
np
.
random
.
uniform
(
-
3
,
5
,
(
20
,
2
,
4
)).
astype
(
self
.
dtype
)
self
.
y
=
np
.
random
.
uniform
(
-
3
,
5
,
(
20
,
2
,
4
)).
astype
(
self
.
dtype
)
self
.
cond
=
np
.
array
(
np
.
random
.
randint
(
2
,
size
=
(
20
,
2
,
4
)),
dtype
=
bool
)
support_types
=
get_xpu_op_support_types
(
'where'
)
for
stype
in
support_types
:
create_test_class
(
globals
(),
XPUTestWhereOp
,
stype
)
class
TestXPUWhereAPI
(
unittest
.
TestCase
):
...
...
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