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体验新版 GitCode,发现更多精彩内容 >>
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0f165f0b
编写于
4月 04, 2022
作者:
F
From00
提交者:
GitHub
4月 04, 2022
浏览文件
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电子邮件补丁
差异文件
Add yaml for randint OP (#41375)
上级
bcb663cc
变更
5
隐藏空白更改
内联
并排
Showing
5 changed file
with
93 addition
and
10 deletion
+93
-10
paddle/phi/infermeta/nullary.cc
paddle/phi/infermeta/nullary.cc
+28
-0
paddle/phi/infermeta/nullary.h
paddle/phi/infermeta/nullary.h
+3
-0
python/paddle/fluid/tests/unittests/test_randint_op.py
python/paddle/fluid/tests/unittests/test_randint_op.py
+42
-5
python/paddle/tensor/random.py
python/paddle/tensor/random.py
+7
-4
python/paddle/utils/code_gen/api.yaml
python/paddle/utils/code_gen/api.yaml
+13
-1
未找到文件。
paddle/phi/infermeta/nullary.cc
浏览文件 @
0f165f0b
...
...
@@ -63,6 +63,34 @@ void RandpermInferMeta(int n, DataType dtype, MetaTensor* out) {
out
->
set_dtype
(
dtype
);
}
void
RandintInferMeta
(
int
low
,
int
high
,
const
IntArray
&
shape
,
DataType
dtype
,
MetaTensor
*
out
)
{
PADDLE_ENFORCE_NOT_NULL
(
out
,
errors
::
InvalidArgument
(
"Output(Out) of RandintOp is null."
));
PADDLE_ENFORCE_LT
(
low
,
high
,
errors
::
InvalidArgument
(
"randint's low must less then high, "
"but received: low = %d, high = %d."
,
low
,
high
));
auto
&
shape_vector
=
shape
.
GetData
();
PADDLE_ENFORCE_EQ
(
shape_vector
.
empty
(),
false
,
errors
::
InvalidArgument
(
"The shape information should not be empty, it "
"must be set by Attr(shape)."
));
std
::
vector
<
int64_t
>
tensor_shape
;
tensor_shape
.
reserve
(
shape_vector
.
size
());
for
(
auto
dim
:
shape_vector
)
{
tensor_shape
.
push_back
(
static_cast
<
int64_t
>
(
dim
));
}
out
->
set_dims
(
make_ddim
(
tensor_shape
));
out
->
set_dtype
(
dtype
);
}
void
TruncatedGaussianRandomInferMeta
(
const
std
::
vector
<
int
>&
shape
,
float
mean
,
float
std
,
...
...
paddle/phi/infermeta/nullary.h
浏览文件 @
0f165f0b
...
...
@@ -55,6 +55,9 @@ void GaussianRandomInferMeta(const IntArray& shape,
void
RandpermInferMeta
(
int
n
,
DataType
dtype
,
MetaTensor
*
out
);
void
RandintInferMeta
(
int
low
,
int
high
,
const
IntArray
&
shape
,
DataType
dtype
,
MetaTensor
*
out
);
void
TruncatedGaussianRandomInferMeta
(
const
std
::
vector
<
int
>&
shape
,
float
mean
,
float
std
,
...
...
python/paddle/fluid/tests/unittests/test_randint_op.py
浏览文件 @
0f165f0b
...
...
@@ -14,13 +14,14 @@
from
__future__
import
print_function
import
os
import
paddle
import
unittest
import
numpy
as
np
from
op_test
import
OpTest
import
paddle
from
paddle.fluid
import
core
from
paddle.fluid.framework
import
_test_eager_guard
from
paddle.static
import
program_guard
,
Program
import
os
paddle
.
enable_static
()
...
...
@@ -53,6 +54,10 @@ class TestRandintOp(OpTest):
np
.
allclose
(
hist
,
prob
,
rtol
=
0
,
atol
=
0.001
),
"hist: "
+
str
(
hist
))
def
test_check_output_eager
(
self
):
with
_test_eager_guard
():
self
.
test_check_output
()
class
TestRandintOpError
(
unittest
.
TestCase
):
def
test_errors
(
self
):
...
...
@@ -67,6 +72,10 @@ class TestRandintOpError(unittest.TestCase):
self
.
assertRaises
(
TypeError
,
paddle
.
randint
,
5
,
shape
=
[
shape_tensor
])
def
test_errors_eager
(
self
):
with
_test_eager_guard
():
self
.
test_errors
()
class
TestRandintOp_attr_tensorlist
(
OpTest
):
def
setUp
(
self
):
...
...
@@ -93,6 +102,10 @@ class TestRandintOp_attr_tensorlist(OpTest):
np
.
allclose
(
hist
,
prob
,
rtol
=
0
,
atol
=
0.001
),
"hist: "
+
str
(
hist
))
def
test_check_output_eager
(
self
):
with
_test_eager_guard
():
self
.
test_check_output
()
class
TestRandint_attr_tensor
(
OpTest
):
def
setUp
(
self
):
...
...
@@ -114,6 +127,10 @@ class TestRandint_attr_tensor(OpTest):
np
.
allclose
(
hist
,
prob
,
rtol
=
0
,
atol
=
0.001
),
"hist: "
+
str
(
hist
))
def
test_check_output_eager
(
self
):
with
_test_eager_guard
():
self
.
test_check_output
()
# Test python API
class
TestRandintAPI
(
unittest
.
TestCase
):
...
...
@@ -145,18 +162,30 @@ class TestRandintAPI(unittest.TestCase):
feed
=
{
'var_shape'
:
np
.
array
([
100
,
100
]).
astype
(
'int64'
)},
fetch_list
=
[
out1
,
out2
,
out3
,
out4
,
out5
])
def
test_api_eager
(
self
):
with
_test_eager_guard
():
self
.
test_api
()
class
TestRandintImperative
(
unittest
.
TestCase
):
def
test_api
(
self
):
n
=
10
paddle
.
disable_static
()
self
.
run_test_case
()
with
_test_eager_guard
():
self
.
run_test_case
()
paddle
.
enable_static
()
def
run_test_case
(
self
):
n
=
10
x1
=
paddle
.
randint
(
n
,
shape
=
[
10
],
dtype
=
"int32"
)
x2
=
paddle
.
tensor
.
randint
(
n
)
x3
=
paddle
.
tensor
.
random
.
randint
(
n
)
for
i
in
[
x1
,
x2
,
x3
]:
for
j
in
i
.
numpy
().
tolist
():
self
.
assertTrue
((
j
>=
0
and
j
<
n
))
paddle
.
enable_static
()
class
TestRandomValue
(
unittest
.
TestCase
):
...
...
@@ -174,6 +203,15 @@ class TestRandomValue(unittest.TestCase):
print
(
"Test Fixed Random number on GPU------>"
)
paddle
.
disable_static
()
self
.
run_test_case
()
with
_test_eager_guard
():
self
.
run_test_case
()
paddle
.
enable_static
()
def
run_test_case
(
self
):
paddle
.
set_device
(
'gpu'
)
paddle
.
seed
(
100
)
...
...
@@ -198,7 +236,6 @@ class TestRandomValue(unittest.TestCase):
self
.
assertTrue
(
np
.
array_equal
(
x
[
20
,
1
,
600
,
600
:
605
],
expect
))
expect
=
[
3581
,
3420
,
-
8027
,
-
5237
,
-
2436
]
self
.
assertTrue
(
np
.
array_equal
(
x
[
30
,
2
,
1000
,
1000
:
1005
],
expect
))
paddle
.
enable_static
()
if
__name__
==
"__main__"
:
...
...
python/paddle/tensor/random.py
浏览文件 @
0f165f0b
...
...
@@ -22,7 +22,7 @@ from ..fluid.layers import utils
import
paddle
from
paddle
import
_C_ops
from
paddle.static
import
Variable
from
..fluid.framework
import
_in_legacy_dygraph
,
in_dygraph_mod
e
from
paddle.fluid.framework
import
in_dygraph_mode
,
_in_legacy_dygraph
,
_current_expected_plac
e
__all__
=
[]
...
...
@@ -687,7 +687,11 @@ def randint(low=0, high=None, shape=[1], dtype=None, name=None):
if
not
isinstance
(
dtype
,
core
.
VarDesc
.
VarType
):
dtype
=
convert_np_dtype_to_dtype_
(
dtype
)
if
paddle
.
in_dynamic_mode
():
if
in_dygraph_mode
():
shape
=
utils
.
convert_shape_to_list
(
shape
)
place
=
_current_expected_place
()
return
_C_ops
.
final_state_randint
(
low
,
high
,
shape
,
dtype
,
place
)
if
_in_legacy_dygraph
():
shape
=
utils
.
convert_shape_to_list
(
shape
)
return
_C_ops
.
randint
(
'shape'
,
shape
,
'low'
,
low
,
'high'
,
high
,
'seed'
,
0
,
'dtype'
,
dtype
)
...
...
@@ -920,8 +924,7 @@ def randperm(n, dtype="int64", name=None):
dtype
=
convert_np_dtype_to_dtype_
(
dtype
)
if
in_dygraph_mode
():
return
_C_ops
.
final_state_randperm
(
n
,
dtype
,
paddle
.
fluid
.
framework
.
_current_expected_place
())
return
_C_ops
.
final_state_randperm
(
n
,
dtype
,
_current_expected_place
())
if
_in_legacy_dygraph
():
return
_C_ops
.
randperm
(
'n'
,
n
,
'seed'
,
0
,
'dtype'
,
dtype
)
...
...
python/paddle/utils/code_gen/api.yaml
浏览文件 @
0f165f0b
...
...
@@ -1265,6 +1265,18 @@
data_type
:
x
backward
:
put_along_axis_grad
-
api
:
randint
args
:
(int low, int high, IntArray shape, DataType dtype=DataType::INT64, Place place={})
output
:
Tensor(out)
infer_meta
:
func
:
RandintInferMeta
param
:
[
low
,
high
,
shape
,
dtype
]
kernel
:
func
:
randint
param
:
[
low
,
high
,
shape
,
dtype
]
data_type
:
dtype
backend
:
place
-
api
:
randperm
args
:
(int n, DataType dtype, Place place={})
output
:
Tensor
...
...
@@ -1276,7 +1288,7 @@
param
:
[
n
,
dtype
]
data_type
:
dtype
backend
:
place
-
api
:
reciprocal
args
:
(Tensor x)
output
:
Tensor
...
...
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