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19da5c0c
编写于
8月 02, 2023
作者:
W
wanghuancoder
提交者:
GitHub
8月 02, 2023
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
fix security bug (#55782)
* fix security bug
上级
db700d10
变更
18
显示空白变更内容
内联
并排
Showing
18 changed file
with
90 addition
and
6 deletion
+90
-6
paddle/fluid/pybind/op_function_common.cc
paddle/fluid/pybind/op_function_common.cc
+4
-4
paddle/phi/infermeta/binary.cc
paddle/phi/infermeta/binary.cc
+6
-0
paddle/phi/kernels/cpu/broadcast_kernel.cc
paddle/phi/kernels/cpu/broadcast_kernel.cc
+5
-0
paddle/phi/kernels/cpu/dot_kernel.cc
paddle/phi/kernels/cpu/dot_kernel.cc
+3
-0
paddle/phi/kernels/cpu/eig_kernel.cc
paddle/phi/kernels/cpu/eig_kernel.cc
+4
-0
paddle/phi/kernels/cpu/reduce_kernel.cc
paddle/phi/kernels/cpu/reduce_kernel.cc
+4
-0
paddle/phi/kernels/cpu/top_k_kernel.cc
paddle/phi/kernels/cpu/top_k_kernel.cc
+6
-0
paddle/phi/kernels/funcs/gather_scatter_functor.cc
paddle/phi/kernels/funcs/gather_scatter_functor.cc
+0
-1
paddle/phi/kernels/funcs/reduce_function.h
paddle/phi/kernels/funcs/reduce_function.h
+9
-0
paddle/phi/kernels/funcs/repeat_tensor2index_tensor.h
paddle/phi/kernels/funcs/repeat_tensor2index_tensor.h
+5
-0
paddle/phi/kernels/gpu/broadcast_kernel.cu
paddle/phi/kernels/gpu/broadcast_kernel.cu
+5
-0
paddle/phi/kernels/gpu/dot_kernel.cu
paddle/phi/kernels/gpu/dot_kernel.cu
+3
-0
paddle/phi/kernels/gpu/lerp_kernel.cu
paddle/phi/kernels/gpu/lerp_kernel.cu
+10
-0
paddle/phi/kernels/gpu/reduce_kernel.cu
paddle/phi/kernels/gpu/reduce_kernel.cu
+4
-0
paddle/phi/kernels/gpu/top_k_kernel.cu
paddle/phi/kernels/gpu/top_k_kernel.cu
+5
-0
paddle/phi/kernels/impl/lerp_kernel_impl.h
paddle/phi/kernels/impl/lerp_kernel_impl.h
+10
-0
paddle/phi/kernels/impl/repeat_interleave_kernel_impl.h
paddle/phi/kernels/impl/repeat_interleave_kernel_impl.h
+5
-0
python/paddle/tensor/manipulation.py
python/paddle/tensor/manipulation.py
+2
-1
未找到文件。
paddle/fluid/pybind/op_function_common.cc
浏览文件 @
19da5c0c
...
...
@@ -412,7 +412,7 @@ std::vector<int> CastPyArg2Ints(PyObject* obj,
i
));
}
}
}
else
if
(
PySequence_Check
(
obj
))
{
}
else
if
(
PySequence_Check
(
obj
)
&&
!
PyObject_TypeCheck
(
obj
,
p_tensor_type
)
)
{
Py_ssize_t
len
=
PySequence_Size
(
obj
);
value
.
reserve
(
len
);
PyObject
*
item
=
nullptr
;
...
...
@@ -488,7 +488,7 @@ std::vector<int64_t> CastPyArg2Longs(PyObject* obj,
i
));
}
}
}
else
if
(
PySequence_Check
(
obj
))
{
}
else
if
(
PySequence_Check
(
obj
)
&&
!
PyObject_TypeCheck
(
obj
,
p_tensor_type
)
)
{
Py_ssize_t
len
=
PySequence_Size
(
obj
);
PyObject
*
item
=
nullptr
;
for
(
Py_ssize_t
i
=
0
;
i
<
len
;
i
++
)
{
...
...
@@ -567,7 +567,7 @@ std::vector<float> CastPyArg2Floats(PyObject* obj,
i
));
}
}
}
else
if
(
PySequence_Check
(
obj
))
{
}
else
if
(
PySequence_Check
(
obj
)
&&
!
PyObject_TypeCheck
(
obj
,
p_tensor_type
)
)
{
Py_ssize_t
len
=
PySequence_Size
(
obj
);
PyObject
*
item
=
nullptr
;
for
(
Py_ssize_t
i
=
0
;
i
<
len
;
i
++
)
{
...
...
@@ -642,7 +642,7 @@ std::vector<double> CastPyArg2Float64s(PyObject* obj,
i
));
}
}
}
else
if
(
PySequence_Check
(
obj
))
{
}
else
if
(
PySequence_Check
(
obj
)
&&
!
PyObject_TypeCheck
(
obj
,
p_tensor_type
)
)
{
Py_ssize_t
len
=
PySequence_Size
(
obj
);
PyObject
*
item
=
nullptr
;
for
(
Py_ssize_t
i
=
0
;
i
<
len
;
i
++
)
{
...
...
paddle/phi/infermeta/binary.cc
浏览文件 @
19da5c0c
...
...
@@ -2663,6 +2663,12 @@ void SearchsortedInferMeta(const MetaTensor& sorted_sequence,
MetaTensor
*
out
)
{
auto
sequences_dims
=
sorted_sequence
.
dims
();
auto
values_dims
=
value
.
dims
();
PADDLE_ENFORCE_GE
(
sequences_dims
.
size
(),
1
,
phi
::
errors
::
InvalidArgument
(
"Input sequences's dimension(%d) must be greater or equal than 1"
,
sequences_dims
.
size
()));
bool
flag
=
true
;
if
(
sequences_dims
.
size
()
!=
values_dims
.
size
())
{
...
...
paddle/phi/kernels/cpu/broadcast_kernel.cc
浏览文件 @
19da5c0c
...
...
@@ -28,6 +28,11 @@ void BroadcastKernel(const Context& dev_ctx,
const
DenseTensor
&
x
,
int
root
,
DenseTensor
*
out
)
{
PADDLE_ENFORCE_GT
(
x
.
numel
(),
0
,
phi
::
errors
::
InvalidArgument
(
"Tensor need be broadcast must not empyt."
));
#if defined(PADDLE_WITH_GLOO)
dev_ctx
.
template
Alloc
<
T
>(
out
);
auto
comm_context
=
...
...
paddle/phi/kernels/cpu/dot_kernel.cc
浏览文件 @
19da5c0c
...
...
@@ -27,6 +27,9 @@ void DotKernel(const Context& dev_ctx,
const
DenseTensor
&
x
,
const
DenseTensor
&
y
,
DenseTensor
*
out
)
{
if
(
out
->
numel
()
<=
0
)
{
return
;
}
auto
const
*
x_ptr
=
x
.
data
<
T
>
(),
*
x_ptr_
=
&
x_ptr
[
0
];
auto
const
*
y_ptr
=
y
.
data
<
T
>
(),
*
y_ptr_
=
&
y_ptr
[
0
];
T
*
z
=
dev_ctx
.
template
Alloc
<
T
>(
out
);
...
...
paddle/phi/kernels/cpu/eig_kernel.cc
浏览文件 @
19da5c0c
...
...
@@ -24,6 +24,10 @@ void EigKernel(const Context& dev_ctx,
const
DenseTensor
&
x
,
DenseTensor
*
out_w
,
DenseTensor
*
out_v
)
{
PADDLE_ENFORCE_GT
(
x
.
numel
(),
0
,
errors
::
InvalidArgument
(
"EigKernel input tensor is empty."
));
if
(
!
IsComplexType
(
x
.
dtype
()))
{
dev_ctx
.
template
Alloc
<
phi
::
dtype
::
Complex
<
T
>
>
(
out_w
);
dev_ctx
.
template
Alloc
<
phi
::
dtype
::
Complex
<
T
>
>
(
out_v
);
...
...
paddle/phi/kernels/cpu/reduce_kernel.cc
浏览文件 @
19da5c0c
...
...
@@ -29,6 +29,10 @@ void ReduceKernel(const Context& dev_ctx,
int
root
,
int
reduce_type
,
DenseTensor
*
out
)
{
PADDLE_ENFORCE_GT
(
x
.
numel
(),
0
,
phi
::
errors
::
InvalidArgument
(
"Tensor need be reduced must not empyt."
));
#if defined(PADDLE_WITH_GLOO)
out
->
Resize
(
x
.
dims
());
dev_ctx
.
template
Alloc
<
T
>(
out
);
...
...
paddle/phi/kernels/cpu/top_k_kernel.cc
浏览文件 @
19da5c0c
...
...
@@ -153,6 +153,12 @@ void TopkKernel(const Context& dev_ctx,
}
int
k
=
k_scalar
.
to
<
int
>
();
PADDLE_ENFORCE_GE
(
x
.
numel
(),
k
,
errors
::
InvalidArgument
(
"x has only %d element, can not find %d top values."
,
x
.
numel
(),
k
));
if
(
k_scalar
.
FromTensor
())
{
auto
out_dims
=
out
->
dims
();
// accroding to axis to set K value in the dim
...
...
paddle/phi/kernels/funcs/gather_scatter_functor.cc
浏览文件 @
19da5c0c
...
...
@@ -122,7 +122,6 @@ struct cpu_gather_scatter_functor {
self_idx
=
is_scatter_like
?
replace_index
:
index_idx
;
src_idx
=
is_scatter_like
?
index_idx
:
replace_index
;
reduce_op
((
tensor_t
*
)(
self_data
+
self_idx
),
// NOLINT
(
tensor_t
*
)(
src_data
+
src_idx
));
// NOLINT
index_idx
++
;
...
...
paddle/phi/kernels/funcs/reduce_function.h
浏览文件 @
19da5c0c
...
...
@@ -988,6 +988,10 @@ void ReduceKernel(const KPDevice& dev_ctx,
const
TransformOp
&
transform
,
const
std
::
vector
<
int
>&
origin_reduce_dims
,
bool
is_mean
=
false
)
{
PADDLE_ENFORCE_GT
(
x
.
numel
(),
0
,
phi
::
errors
::
InvalidArgument
(
"Tensor need be reduced must not empyt."
));
#ifdef PADDLE_WITH_XPU_KP
auto
stream
=
dev_ctx
.
x_context
()
->
xpu_stream
;
#else
...
...
@@ -1298,6 +1302,11 @@ void ReduceKernelImpl(const Context& dev_ctx,
const
std
::
vector
<
int64_t
>&
dims
,
bool
keep_dim
,
bool
reduce_all
)
{
PADDLE_ENFORCE_GT
(
input
.
numel
(),
0
,
phi
::
errors
::
InvalidArgument
(
"Tensor need be reduced must not empyt."
));
dev_ctx
.
template
Alloc
<
OutT
>(
output
);
if
(
reduce_all
)
{
...
...
paddle/phi/kernels/funcs/repeat_tensor2index_tensor.h
浏览文件 @
19da5c0c
...
...
@@ -32,6 +32,11 @@ void RepeatsTensor2IndexTensor(const Context& ctx,
int64_t
index_size
=
0
;
for
(
int
i
=
0
;
i
<
repeats
.
dims
()[
0
];
i
++
)
{
PADDLE_ENFORCE_GE
(
repeats_data
[
i
],
0
,
phi
::
errors
::
InvalidArgument
(
"repeats must grater or equal than 0, but got %d"
,
repeats_data
[
i
]));
index_size
+=
repeats_data
[
i
];
}
std
::
vector
<
RepeatsT
>
index_vec
(
index_size
);
...
...
paddle/phi/kernels/gpu/broadcast_kernel.cu
浏览文件 @
19da5c0c
...
...
@@ -28,6 +28,11 @@ void BroadcastKernel(const Context& dev_ctx,
const
DenseTensor
&
x
,
int
root
,
DenseTensor
*
out
)
{
PADDLE_ENFORCE_GT
(
x
.
numel
(),
0
,
phi
::
errors
::
InvalidArgument
(
"Tensor need be broadcast must not empyt."
));
#if defined(PADDLE_WITH_NCCL) || defined(PADDLE_WITH_RCCL)
dev_ctx
.
template
Alloc
<
T
>(
out
);
gpuStream_t
stream
=
dev_ctx
.
stream
();
...
...
paddle/phi/kernels/gpu/dot_kernel.cu
浏览文件 @
19da5c0c
...
...
@@ -31,6 +31,9 @@ void DotKernel(const Context& dev_ctx,
const
DenseTensor
&
x
,
const
DenseTensor
&
y
,
DenseTensor
*
out
)
{
if
(
out
->
numel
()
<=
0
)
{
return
;
}
dev_ctx
.
template
Alloc
<
T
>(
out
);
if
(
out
->
dims
().
size
()
==
0
)
{
auto
eigen_out
=
phi
::
EigenScalar
<
T
>::
From
(
*
out
);
...
...
paddle/phi/kernels/gpu/lerp_kernel.cu
浏览文件 @
19da5c0c
...
...
@@ -51,6 +51,16 @@ void LerpKernel(const Context &ctx,
const
DenseTensor
&
y
,
const
DenseTensor
&
weight
,
DenseTensor
*
out
)
{
PADDLE_ENFORCE_GT
(
x
.
numel
(),
0
,
phi
::
errors
::
InvalidArgument
(
"LerpKernel's input x must not empyt."
));
PADDLE_ENFORCE_GT
(
y
.
numel
(),
0
,
phi
::
errors
::
InvalidArgument
(
"LerpKernel's input y must not empyt."
));
int
rank
=
out
->
dims
().
size
();
PADDLE_ENFORCE_GE
(
rank
,
...
...
paddle/phi/kernels/gpu/reduce_kernel.cu
浏览文件 @
19da5c0c
...
...
@@ -29,6 +29,10 @@ void ReduceKernel(const Context& dev_ctx,
int
root
,
int
reduce_type
,
DenseTensor
*
out
)
{
PADDLE_ENFORCE_GT
(
x
.
numel
(),
0
,
phi
::
errors
::
InvalidArgument
(
"Tensor need be reduced must not empyt."
));
#if defined(PADDLE_WITH_NCCL) || defined(PADDLE_WITH_RCCL)
out
->
Resize
(
x
.
dims
());
dev_ctx
.
template
Alloc
<
T
>(
out
);
...
...
paddle/phi/kernels/gpu/top_k_kernel.cu
浏览文件 @
19da5c0c
...
...
@@ -77,6 +77,11 @@ void TopkKernel(const Context& dev_ctx,
if
(
axis
<
0
)
axis
+=
in_dims
.
size
();
int
k
=
k_scalar
.
to
<
int
>
();
PADDLE_ENFORCE_GE
(
x
.
numel
(),
k
,
errors
::
InvalidArgument
(
"x has only %d element, can not find %d top values."
,
x
.
numel
(),
k
));
if
(
k_scalar
.
FromTensor
())
{
phi
::
DDim
out_dims
=
out
->
dims
();
out_dims
[
axis
]
=
k
;
...
...
paddle/phi/kernels/impl/lerp_kernel_impl.h
浏览文件 @
19da5c0c
...
...
@@ -83,6 +83,16 @@ void LerpKernel(const Context& ctx,
const
DenseTensor
&
y
,
const
DenseTensor
&
weight
,
DenseTensor
*
out
)
{
PADDLE_ENFORCE_GT
(
x
.
numel
(),
0
,
phi
::
errors
::
InvalidArgument
(
"LerpKernel's input x must not empyt."
));
PADDLE_ENFORCE_GT
(
y
.
numel
(),
0
,
phi
::
errors
::
InvalidArgument
(
"LerpKernel's input y must not empyt."
));
int
rank
=
out
->
dims
().
size
();
PADDLE_ENFORCE_GE
(
rank
,
...
...
paddle/phi/kernels/impl/repeat_interleave_kernel_impl.h
浏览文件 @
19da5c0c
...
...
@@ -58,6 +58,11 @@ void RepeatInterleaveKernel(const Context& ctx,
int
repeats
,
int
dim
,
DenseTensor
*
out
)
{
PADDLE_ENFORCE_GT
(
repeats
,
0
,
phi
::
errors
::
InvalidArgument
(
"repeats must grater than 0, but got %d"
,
repeats
));
auto
place
=
ctx
.
GetPlace
();
auto
cpu_place
=
phi
::
CPUPlace
();
...
...
python/paddle/tensor/manipulation.py
浏览文件 @
19da5c0c
...
...
@@ -543,6 +543,8 @@ def unstack(x, axis=0, num=None):
raise
ValueError
(
'`axis` must be in the range [-{0}, {0})'
.
format
(
x
.
ndim
)
)
if
num
is
not
None
and
(
num
<
0
or
num
>
x
.
shape
[
axis
]):
raise
ValueError
(
f
'`num` must be in the range [0,
{
x
.
shape
[
axis
]
}
)'
)
if
in_dynamic_mode
():
if
num
is
None
:
num
=
x
.
shape
[
axis
]
...
...
@@ -4372,7 +4374,6 @@ def repeat_interleave(x, repeats, axis=None, name=None):
if
axis
is
None
:
x
=
paddle
.
flatten
(
x
)
axis
=
0
if
in_dynamic_mode
():
if
isinstance
(
repeats
,
Variable
):
return
_C_ops
.
repeat_interleave_with_tensor_index
(
x
,
repeats
,
axis
)
...
...
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