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体验新版 GitCode,发现更多精彩内容 >>
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提交
fd1ecfc5
编写于
4月 03, 2022
作者:
Z
zyfncg
提交者:
GitHub
4月 03, 2022
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Add randperm and range yaml (#41265)
* add randperm and range yaml * add eager test for randperm
上级
7315fb2d
变更
14
隐藏空白更改
内联
并排
Showing
14 changed file
with
167 addition
and
80 deletion
+167
-80
paddle/fluid/operators/range_op.cc
paddle/fluid/operators/range_op.cc
+1
-1
paddle/phi/infermeta/nullary.cc
paddle/phi/infermeta/nullary.cc
+5
-0
paddle/phi/infermeta/nullary.h
paddle/phi/infermeta/nullary.h
+2
-0
paddle/phi/infermeta/ternary.cc
paddle/phi/infermeta/ternary.cc
+50
-50
paddle/phi/infermeta/ternary.h
paddle/phi/infermeta/ternary.h
+5
-5
paddle/phi/kernels/arange_kernel.h
paddle/phi/kernels/arange_kernel.h
+5
-5
paddle/phi/kernels/cpu/arange_kernel.cc
paddle/phi/kernels/cpu/arange_kernel.cc
+7
-7
paddle/phi/kernels/gpu/arange_kernel.cu
paddle/phi/kernels/gpu/arange_kernel.cu
+7
-7
paddle/phi/ops/compat/range_sig.cc
paddle/phi/ops/compat/range_sig.cc
+17
-0
python/paddle/fluid/layers/tensor.py
python/paddle/fluid/layers/tensor.py
+6
-2
python/paddle/fluid/tests/unittests/test_randperm_op.py
python/paddle/fluid/tests/unittests/test_randperm_op.py
+19
-0
python/paddle/fluid/tests/unittests/test_range.py
python/paddle/fluid/tests/unittests/test_range.py
+12
-1
python/paddle/tensor/random.py
python/paddle/tensor/random.py
+5
-2
python/paddle/utils/code_gen/api.yaml
python/paddle/utils/code_gen/api.yaml
+26
-0
未找到文件。
paddle/fluid/operators/range_op.cc
浏览文件 @
fd1ecfc5
...
...
@@ -61,6 +61,6 @@ class RangeOpMaker : public framework::OpProtoAndCheckerMaker {
namespace
ops
=
paddle
::
operators
;
DECLARE_INFER_SHAPE_FUNCTOR
(
range
,
RangeInferMetaFunctor
,
PD_INFER_META
(
phi
::
R
angeInferMeta
));
PD_INFER_META
(
phi
::
Ar
angeInferMeta
));
REGISTER_OP_WITHOUT_GRADIENT
(
range
,
ops
::
RangeOp
,
ops
::
RangeOpMaker
,
RangeInferMetaFunctor
);
paddle/phi/infermeta/nullary.cc
浏览文件 @
fd1ecfc5
...
...
@@ -58,6 +58,11 @@ void GaussianRandomInferMeta(const IntArray& shape,
out
->
set_layout
(
DataLayout
::
NCHW
);
}
void
RandpermInferMeta
(
int
n
,
DataType
dtype
,
MetaTensor
*
out
)
{
out
->
set_dims
(
phi
::
make_ddim
({
n
}));
out
->
set_dtype
(
dtype
);
}
void
TruncatedGaussianRandomInferMeta
(
const
std
::
vector
<
int
>&
shape
,
float
mean
,
float
std
,
...
...
paddle/phi/infermeta/nullary.h
浏览文件 @
fd1ecfc5
...
...
@@ -53,6 +53,8 @@ void GaussianRandomInferMeta(const IntArray& shape,
DataType
dtype
,
MetaTensor
*
out
);
void
RandpermInferMeta
(
int
n
,
DataType
dtype
,
MetaTensor
*
out
);
void
TruncatedGaussianRandomInferMeta
(
const
std
::
vector
<
int
>&
shape
,
float
mean
,
float
std
,
...
...
paddle/phi/infermeta/ternary.cc
浏览文件 @
fd1ecfc5
...
...
@@ -141,6 +141,56 @@ void AddmmInferMeta(const MetaTensor& input,
out
->
set_dtype
(
input
.
dtype
());
}
void
ArangeInferMeta
(
const
MetaTensor
&
start
,
const
MetaTensor
&
end
,
const
MetaTensor
&
step
,
MetaTensor
*
out
)
{
auto
start_dims
=
start
.
dims
();
auto
end_dims
=
end
.
dims
();
auto
step_dims
=
step
.
dims
();
PADDLE_ENFORCE_EQ
(
start_dims
.
size
(),
1
,
phi
::
errors
::
InvalidArgument
(
"The dim of the shape of Input(Start) should be 1, but got %d"
,
start_dims
.
size
()));
PADDLE_ENFORCE_EQ
(
start_dims
[
0
],
1
,
phi
::
errors
::
InvalidArgument
(
"The first dim of the shape of Input(Start) should "
"be 1, but got %d"
,
start_dims
[
0
]));
PADDLE_ENFORCE_EQ
(
end_dims
.
size
(),
1
,
phi
::
errors
::
InvalidArgument
(
"The dim of the shape of Input(End) should be 1, but got %d"
,
end_dims
.
size
()));
PADDLE_ENFORCE_EQ
(
end_dims
[
0
],
1
,
phi
::
errors
::
InvalidArgument
(
"The first dim of the shape of "
"Input(End) should be 1, but got %d"
,
end_dims
[
0
]));
PADDLE_ENFORCE_EQ
(
step_dims
.
size
(),
1
,
phi
::
errors
::
InvalidArgument
(
"The dim of the shape of Input(Step) should be 1, but got %d"
,
step_dims
.
size
()));
PADDLE_ENFORCE_EQ
(
step_dims
[
0
],
1
,
phi
::
errors
::
InvalidArgument
(
"The first dim of the shape of Input(Step) should "
"be 1, but got %d"
,
step_dims
[
0
]));
out
->
set_dims
({
-
1
});
out
->
set_dtype
(
start
.
dtype
());
}
void
GraphSendRecvInferMeta
(
const
MetaTensor
&
x
,
const
MetaTensor
&
src_index
,
const
MetaTensor
&
dst_index
,
...
...
@@ -345,56 +395,6 @@ void PutAlongAxisInferMeta(const MetaTensor& x,
out
->
set_dtype
(
x
.
dtype
());
}
void
RangeInferMeta
(
const
MetaTensor
&
start
,
const
MetaTensor
&
end
,
const
MetaTensor
&
step
,
MetaTensor
*
out
)
{
auto
start_dims
=
start
.
dims
();
auto
end_dims
=
end
.
dims
();
auto
step_dims
=
step
.
dims
();
PADDLE_ENFORCE_EQ
(
start_dims
.
size
(),
1
,
phi
::
errors
::
InvalidArgument
(
"The dim of the shape of Input(Start) should be 1, but got %d"
,
start_dims
.
size
()));
PADDLE_ENFORCE_EQ
(
start_dims
[
0
],
1
,
phi
::
errors
::
InvalidArgument
(
"The first dim of the shape of Input(Start) should "
"be 1, but got %d"
,
start_dims
[
0
]));
PADDLE_ENFORCE_EQ
(
end_dims
.
size
(),
1
,
phi
::
errors
::
InvalidArgument
(
"The dim of the shape of Input(End) should be 1, but got %d"
,
end_dims
.
size
()));
PADDLE_ENFORCE_EQ
(
end_dims
[
0
],
1
,
phi
::
errors
::
InvalidArgument
(
"The first dim of the shape of "
"Input(End) should be 1, but got %d"
,
end_dims
[
0
]));
PADDLE_ENFORCE_EQ
(
step_dims
.
size
(),
1
,
phi
::
errors
::
InvalidArgument
(
"The dim of the shape of Input(Step) should be 1, but got %d"
,
step_dims
.
size
()));
PADDLE_ENFORCE_EQ
(
step_dims
[
0
],
1
,
phi
::
errors
::
InvalidArgument
(
"The first dim of the shape of Input(Step) should "
"be 1, but got %d"
,
step_dims
[
0
]));
out
->
set_dims
({
-
1
});
out
->
set_dtype
(
start
.
dtype
());
}
void
RoiAlignInferMeta
(
const
MetaTensor
&
x
,
const
MetaTensor
&
boxes
,
paddle
::
optional
<
const
MetaTensor
&>
boxes_num
,
...
...
paddle/phi/infermeta/ternary.h
浏览文件 @
fd1ecfc5
...
...
@@ -47,6 +47,11 @@ void AddmmInferMeta(const MetaTensor& input,
float
beta
,
MetaTensor
*
out
);
void
ArangeInferMeta
(
const
MetaTensor
&
start
,
const
MetaTensor
&
end
,
const
MetaTensor
&
step
,
MetaTensor
*
out
);
void
GraphSendRecvInferMeta
(
const
MetaTensor
&
x
,
const
MetaTensor
&
src_index
,
const
MetaTensor
&
dst_index
,
...
...
@@ -81,11 +86,6 @@ void PutAlongAxisInferMeta(const MetaTensor& x,
const
std
::
string
&
reduce
,
MetaTensor
*
out
);
void
RangeInferMeta
(
const
MetaTensor
&
start
,
const
MetaTensor
&
end
,
const
MetaTensor
&
step
,
MetaTensor
*
out
);
void
RoiAlignInferMeta
(
const
MetaTensor
&
x
,
const
MetaTensor
&
boxes
,
paddle
::
optional
<
const
MetaTensor
&>
boxes_num
,
...
...
paddle/phi/kernels/range_kernel.h
→
paddle/phi/kernels/
a
range_kernel.h
浏览文件 @
fd1ecfc5
...
...
@@ -19,10 +19,10 @@
namespace
phi
{
template
<
typename
T
,
typename
Context
>
void
R
angeKernel
(
const
Context
&
dev_ctx
,
const
DenseTensor
&
start
,
const
DenseTensor
&
end
,
const
DenseTensor
&
step
,
DenseTensor
*
out
);
void
Ar
angeKernel
(
const
Context
&
dev_ctx
,
const
DenseTensor
&
start
,
const
DenseTensor
&
end
,
const
DenseTensor
&
step
,
DenseTensor
*
out
);
}
// namespace phi
paddle/phi/kernels/cpu/range_kernel.cc
→
paddle/phi/kernels/cpu/
a
range_kernel.cc
浏览文件 @
fd1ecfc5
...
...
@@ -12,7 +12,7 @@ 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/range_kernel.h"
#include "paddle/phi/kernels/
a
range_kernel.h"
#include "paddle/phi/backends/cpu/cpu_context.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/kernels/funcs/range_function.h"
...
...
@@ -20,11 +20,11 @@ limitations under the License. */
namespace
phi
{
template
<
typename
T
,
typename
Context
>
void
R
angeKernel
(
const
Context
&
dev_ctx
,
const
DenseTensor
&
start
,
const
DenseTensor
&
end
,
const
DenseTensor
&
step
,
DenseTensor
*
out
)
{
void
Ar
angeKernel
(
const
Context
&
dev_ctx
,
const
DenseTensor
&
start
,
const
DenseTensor
&
end
,
const
DenseTensor
&
step
,
DenseTensor
*
out
)
{
T
start_value
=
start
.
data
<
T
>
()[
0
];
T
end_value
=
end
.
data
<
T
>
()[
0
];
T
step_value
=
step
.
data
<
T
>
()[
0
];
...
...
@@ -42,4 +42,4 @@ void RangeKernel(const Context& dev_ctx,
}
// namespace phi
PD_REGISTER_KERNEL
(
range
,
CPU
,
ALL_LAYOUT
,
phi
::
R
angeKernel
,
float
,
double
,
int
,
int64_t
)
{}
arange
,
CPU
,
ALL_LAYOUT
,
phi
::
Ar
angeKernel
,
float
,
double
,
int
,
int64_t
)
{}
paddle/phi/kernels/gpu/range_kernel.cu
→
paddle/phi/kernels/gpu/
a
range_kernel.cu
浏览文件 @
fd1ecfc5
...
...
@@ -12,7 +12,7 @@
// See the License for the specific language governing permissions and
// limitations under the License.
#include "paddle/phi/kernels/range_kernel.h"
#include "paddle/phi/kernels/
a
range_kernel.h"
#include "paddle/phi/backends/gpu/gpu_context.h"
#include "paddle/phi/core/kernel_registry.h"
...
...
@@ -40,11 +40,11 @@ __global__ void Range(T start, T step, int64_t size, T* out) {
}
template
<
typename
T
,
typename
Context
>
void
R
angeKernel
(
const
Context
&
dev_ctx
,
const
DenseTensor
&
start
,
const
DenseTensor
&
end
,
const
DenseTensor
&
step
,
DenseTensor
*
out
)
{
void
Ar
angeKernel
(
const
Context
&
dev_ctx
,
const
DenseTensor
&
start
,
const
DenseTensor
&
end
,
const
DenseTensor
&
step
,
DenseTensor
*
out
)
{
T
start_value
=
GetValue
<
T
,
Context
>
(
dev_ctx
,
start
);
T
end_value
=
GetValue
<
T
,
Context
>
(
dev_ctx
,
end
);
T
step_value
=
GetValue
<
T
,
Context
>
(
dev_ctx
,
step
);
...
...
@@ -63,7 +63,7 @@ void RangeKernel(const Context& dev_ctx,
}
// namespace phi
PD_REGISTER_KERNEL
(
range
,
GPU
,
ALL_LAYOUT
,
phi
::
R
angeKernel
,
float
,
double
,
int64_t
,
int
)
{
arange
,
GPU
,
ALL_LAYOUT
,
phi
::
Ar
angeKernel
,
float
,
double
,
int64_t
,
int
)
{
kernel
->
InputAt
(
0
).
SetBackend
(
phi
::
Backend
::
CPU
);
kernel
->
InputAt
(
1
).
SetBackend
(
phi
::
Backend
::
CPU
);
kernel
->
InputAt
(
2
).
SetBackend
(
phi
::
Backend
::
CPU
);
...
...
paddle/phi/ops/compat/range_sig.cc
0 → 100644
浏览文件 @
fd1ecfc5
/* 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/core/compat/op_utils.h"
PD_REGISTER_BASE_KERNEL_NAME
(
range
,
arange
);
python/paddle/fluid/layers/tensor.py
浏览文件 @
fd1ecfc5
...
...
@@ -21,7 +21,7 @@ import warnings
from
..layer_helper
import
LayerHelper
from
..param_attr
import
ParamAttr
from
..initializer
import
Initializer
from
..framework
import
convert_np_dtype_to_dtype_
,
_non_static_mode
,
_varbase_creator
,
device_guard
,
_in_legacy_dygraph
,
in_dygraph_mode
from
..framework
import
_current_expected_place
,
convert_np_dtype_to_dtype_
,
_non_static_mode
,
_varbase_creator
,
device_guard
,
_in_legacy_dygraph
,
in_dygraph_mode
from
..framework
import
Variable
from
..initializer
import
Constant
from
..core
import
VarDesc
...
...
@@ -1433,6 +1433,10 @@ def range(start, end, step, dtype, name=None):
if
not
isinstance
(
dtype
,
core
.
VarDesc
.
VarType
):
dtype
=
convert_np_dtype_to_dtype_
(
dtype
)
if
in_dygraph_mode
():
return
_C_ops
.
final_state_arange
(
start
,
end
,
step
,
dtype
,
_current_expected_place
())
if
not
isinstance
(
start
,
Variable
):
with
device_guard
(
"cpu"
):
start
=
fill_constant
([
1
],
dtype
,
start
,
force_cpu
=
True
)
...
...
@@ -1451,7 +1455,7 @@ def range(start, end, step, dtype, name=None):
elif
step
.
dtype
!=
dtype
:
step
=
cast
(
step
,
dtype
)
if
_
non_static_mode
():
if
_
in_legacy_dygraph
():
out
=
_C_ops
.
range
(
start
,
end
,
step
)
out
.
stop_gradient
=
True
return
out
...
...
python/paddle/fluid/tests/unittests/test_randperm_op.py
浏览文件 @
fd1ecfc5
...
...
@@ -18,6 +18,7 @@ from op_test import OpTest
import
paddle
import
paddle.fluid.core
as
core
from
paddle.static
import
program_guard
,
Program
from
paddle.fluid.framework
import
_test_eager_guard
import
os
...
...
@@ -50,6 +51,7 @@ class TestRandpermOp(OpTest):
def
setUp
(
self
):
self
.
op_type
=
"randperm"
self
.
python_api
=
paddle
.
randperm
self
.
n
=
200
self
.
dtype
=
"int64"
...
...
@@ -72,6 +74,10 @@ class TestRandpermOp(OpTest):
self
.
assertTrue
(
check_randperm_out
(
self
.
n
,
out_np
),
msg
=
error_msg
(
out_np
))
def
test_eager
(
self
):
with
_test_eager_guard
():
self
.
test_check_output
()
class
TestRandpermOpN
(
TestRandpermOp
):
def
init_attrs
(
self
):
...
...
@@ -130,6 +136,19 @@ class TestRandpermImperative(unittest.TestCase):
paddle
.
enable_static
()
class
TestRandpermEager
(
unittest
.
TestCase
):
def
test_out
(
self
):
paddle
.
disable_static
()
n
=
10
with
_test_eager_guard
():
for
dtype
in
[
'int32'
,
np
.
int64
,
'float32'
,
'float64'
]:
data_p
=
paddle
.
randperm
(
n
,
dtype
)
data_np
=
data_p
.
numpy
()
self
.
assertTrue
(
check_randperm_out
(
n
,
data_np
),
msg
=
error_msg
(
data_np
))
paddle
.
enable_static
()
class
TestRandomValue
(
unittest
.
TestCase
):
def
test_fixed_random_number
(
self
):
# Test GPU Fixed random number, which is generated by 'curandStatePhilox4_32_10_t'
...
...
python/paddle/fluid/tests/unittests/test_range.py
浏览文件 @
fd1ecfc5
...
...
@@ -14,9 +14,15 @@
from
__future__
import
print_function
import
paddle
import
unittest
import
numpy
as
np
from
op_test
import
OpTest
from
functools
import
partial
def
arange_wrapper
(
start
,
end
,
step
,
dtype
=
None
):
return
paddle
.
arange
(
start
,
end
,
step
,
dtype
)
class
TestRangeOp
(
OpTest
):
...
...
@@ -36,33 +42,38 @@ class TestRangeOp(OpTest):
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
()
self
.
check_output
(
check_eager
=
True
)
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
)
...
...
python/paddle/tensor/random.py
浏览文件 @
fd1ecfc5
...
...
@@ -22,7 +22,7 @@ from ..fluid.layers import utils
import
paddle
from
paddle
import
_C_ops
from
paddle.static
import
Variable
from
paddle.fluid.framework
import
in_dygraph_mode
,
_in_legacy_dygraph
from
..fluid.framework
import
_in_legacy_dygraph
,
in_dygraph_mode
__all__
=
[]
...
...
@@ -919,7 +919,10 @@ def randperm(n, dtype="int64", 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
():
return
_C_ops
.
final_state_randperm
(
n
,
dtype
,
paddle
.
fluid
.
framework
.
_current_expected_place
())
if
_in_legacy_dygraph
():
return
_C_ops
.
randperm
(
'n'
,
n
,
'seed'
,
0
,
'dtype'
,
dtype
)
if
n
<
1
:
...
...
python/paddle/utils/code_gen/api.yaml
浏览文件 @
fd1ecfc5
...
...
@@ -97,6 +97,20 @@
kernel
:
func
:
any
-
api
:
arange
args
:
(Tensor start, Tensor end, Tensor step, DataType dtype, Place place={})
output
:
Tensor
infer_meta
:
func
:
ArangeInferMeta
param
:
[
start
,
end
,
step
]
kernel
:
func
:
arange
param
:
[
start
,
end
,
step
]
data_type
:
dtype
backend
:
place
data_transform
:
support_trans_dtype
:
start, end, step
# arg_max
-
api
:
argmax
args
:
(Tensor x, int64_t axis, bool keepdims, bool flatten, int dtype)
...
...
@@ -1227,6 +1241,18 @@
data_type
:
x
backward
:
put_along_axis_grad
-
api
:
randperm
args
:
(int n, DataType dtype, Place place={})
output
:
Tensor
infer_meta
:
func
:
RandpermInferMeta
param
:
[
n
,
dtype
]
kernel
:
func
:
randperm
param
:
[
n
,
dtype
]
data_type
:
dtype
backend
:
place
-
api
:
reciprocal
args
:
(Tensor x)
output
:
Tensor
...
...
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