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体验新版 GitCode,发现更多精彩内容 >>
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28fd30cd
编写于
3月 04, 2022
作者:
C
Chen Weihang
提交者:
GitHub
3月 04, 2022
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电子邮件补丁
差异文件
[Phi] Remove cholsky solve deps with svd helper (#40119)
* remove cholsky solve deps with svd helper * fix shape infer bug
上级
5435459a
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
94 addition
and
8 deletion
+94
-8
paddle/fluid/operators/cholesky_solve_op.h
paddle/fluid/operators/cholesky_solve_op.h
+12
-8
paddle/phi/infermeta/unary.cc
paddle/phi/infermeta/unary.cc
+53
-0
paddle/phi/infermeta/unary.h
paddle/phi/infermeta/unary.h
+4
-0
paddle/phi/kernels/transpose_kernel.h
paddle/phi/kernels/transpose_kernel.h
+25
-0
未找到文件。
paddle/fluid/operators/cholesky_solve_op.h
浏览文件 @
28fd30cd
...
...
@@ -16,11 +16,11 @@ limitations under the License. */
#include "paddle/fluid/framework/op_registry.h"
#include "paddle/fluid/operators/solve_op.h"
#include "paddle/fluid/operators/svd_helper.h"
#include "paddle/fluid/operators/triangular_solve_op.h"
#include "paddle/fluid/platform/complex.h"
#include "paddle/phi/kernels/funcs/lapack/lapack_function.h"
#include "paddle/phi/kernels/math_kernel.h"
#include "paddle/phi/kernels/transpose_kernel.h"
namespace
paddle
{
namespace
operators
{
// namespace operators
...
...
@@ -59,7 +59,9 @@ void cholesky_solve_fn(const paddle::framework::ExecutionContext &ctx,
framework
::
Tensor
b_bst
(
bin
.
type
());
TensorExpand
<
T
,
DeviceContext
>
(
dev_ctx
,
bin
,
&
b_bst
,
b_bst_dims_vec
);
math
::
DeviceIndependenceTensorOperations
<
DeviceContext
,
T
>
helper
(
ctx
);
auto
&
phi_dev_ctx
=
static_cast
<
const
typename
framework
::
ConvertToPhiContext
<
DeviceContext
>::
TYPE
&>
(
dev_ctx
);
// calculate u's conjugate for complex
framework
::
Tensor
u_conj
(
u_bst
.
type
());
...
...
@@ -68,7 +70,7 @@ void cholesky_solve_fn(const paddle::framework::ExecutionContext &ctx,
u_bst
.
data
<
T
>
(),
u_bst
.
numel
(),
u_conj
.
mutable_data
<
T
>
(
u_bst
.
dims
(),
dev_ctx
.
GetPlace
()));
u_for_range
(
u_functor
);
u_conj
=
helper
.
Transpose
(
u_conj
);
u_conj
=
phi
::
TransposeLast2Dim
<
T
>
(
phi_dev_ctx
,
u_conj
);
// calculate b's conjugate for complex
framework
::
Tensor
b_conj
(
b_bst
.
type
());
...
...
@@ -77,7 +79,7 @@ void cholesky_solve_fn(const paddle::framework::ExecutionContext &ctx,
b_bst
.
data
<
T
>
(),
b_bst
.
numel
(),
b_conj
.
mutable_data
<
T
>
(
b_bst
.
dims
(),
dev_ctx
.
GetPlace
()));
b_for_range
(
b_functor
);
b_conj
=
helper
.
Transpose
(
b_conj
);
b_conj
=
phi
::
TransposeLast2Dim
<
T
>
(
phi_dev_ctx
,
b_conj
);
auto
ut_data
=
u_conj
.
mutable_data
<
T
>
(
dev_ctx
.
GetPlace
());
auto
uindims
=
u_bst
.
dims
();
...
...
@@ -117,7 +119,7 @@ void cholesky_solve_fn(const paddle::framework::ExecutionContext &ctx,
out
->
data
<
T
>
(),
out
->
numel
(),
out
->
mutable_data
<
T
>
(
out
->
dims
(),
dev_ctx
.
GetPlace
()));
out_for_range
(
out_functor
);
*
out
=
helper
.
Transpose
(
*
out
);
*
out
=
phi
::
TransposeLast2Dim
<
T
>
(
phi_dev_ctx
,
*
out
);
}
template
<
typename
DeviceContext
,
typename
T
>
...
...
@@ -145,7 +147,9 @@ class CholeskySolveGradKernel : public framework::OpKernel<T> {
auto
upper
=
ctx
.
Attr
<
bool
>
(
"upper"
);
const
auto
&
dev_ctx
=
ctx
.
template
device_context
<
DeviceContext
>();
math
::
DeviceIndependenceTensorOperations
<
DeviceContext
,
T
>
helper
(
ctx
);
auto
&
phi_dev_ctx
=
static_cast
<
const
typename
framework
::
ConvertToPhiContext
<
DeviceContext
>::
TYPE
&>
(
dev_ctx
);
std
::
vector
<
int64_t
>
u_bst_dims_vec
;
std
::
vector
<
int64_t
>
b_bst_dims_vec
;
...
...
@@ -177,7 +181,7 @@ class CholeskySolveGradKernel : public framework::OpKernel<T> {
out
->
data
<
T
>
(),
out
->
numel
(),
out_conj
.
mutable_data
<
T
>
(
out
->
dims
(),
dev_ctx
.
GetPlace
()));
out_for_range
(
out_functor
);
out_conj
=
helper
.
Transpose
(
out_conj
);
out_conj
=
phi
::
TransposeLast2Dim
<
T
>
(
phi_dev_ctx
,
out_conj
);
framework
::
Tensor
commonterm
(
out
->
type
());
auto
outdims
=
out_conj
.
dims
();
...
...
@@ -200,7 +204,7 @@ class CholeskySolveGradKernel : public framework::OpKernel<T> {
commonterm_conj
.
mutable_data
<
T
>
(
commonterm
.
dims
(),
dev_ctx
.
GetPlace
()));
commonterm_for_range
(
commonterm_functor
);
commonterm_conj
=
helper
.
Transpose
(
commonterm_conj
);
commonterm_conj
=
phi
::
TransposeLast2Dim
<
T
>
(
phi_dev_ctx
,
commonterm_conj
);
phi
::
AddRawKernel
<
T
>
(
static_cast
<
const
typename
paddle
::
framework
::
ConvertToPhiContext
<
...
...
paddle/phi/infermeta/unary.cc
浏览文件 @
28fd30cd
...
...
@@ -962,6 +962,59 @@ void PixelShuffleInferMeta(const MetaTensor& x,
out
->
set_dims
(
output_dims
);
}
void
TransposeInferMeta
(
const
MetaTensor
&
x
,
const
std
::
vector
<
int
>&
axis
,
MetaTensor
*
out
)
{
auto
x_dims
=
x
.
dims
();
size_t
x_rank
=
x_dims
.
size
();
size_t
axis_size
=
axis
.
size
();
PADDLE_ENFORCE_EQ
(
x_rank
,
axis_size
,
errors
::
InvalidArgument
(
"The input tensor's dimension "
"should be equal to the axis's size. "
"But received input tensor's dimension is %d, "
"axis's size is %d"
,
x_rank
,
axis_size
));
std
::
vector
<
int
>
count
(
axis_size
,
0
);
for
(
size_t
i
=
0
;
i
<
axis_size
;
i
++
)
{
PADDLE_ENFORCE_GE
(
axis
[
i
],
0
,
errors
::
InvalidArgument
(
"The axis should be greater than or equal to 0."
"But received %d of axis[%d]"
,
axis
[
i
],
i
));
PADDLE_ENFORCE_EQ
(
axis
[
i
]
<
static_cast
<
int
>
(
axis_size
)
&&
++
count
[
axis
[
i
]]
==
1
,
true
,
errors
::
InvalidArgument
(
"Each element of Attribute axis should "
"be a unique value range from 0 to (dims - 1), "
"where the dims is the axis's size, "
"unique value means this axis value can appear only once. "
"But received axis[%d] is %d, axis_size is %d, "
"count[axis[%d]] is %d"
,
i
,
axis
[
i
],
axis_size
,
i
,
count
[
axis
[
i
]]));
}
phi
::
DDim
out_dims
(
x_dims
);
for
(
size_t
i
=
0
;
i
<
axis_size
;
++
i
)
{
out_dims
[
i
]
=
x_dims
[
axis
[
i
]];
}
out
->
set_dims
(
out_dims
);
out
->
set_dtype
(
x
.
dtype
());
}
}
// namespace phi
PD_REGISTER_INFER_META_FN
(
copy_to
,
phi
::
CopyToInferMeta
);
...
...
paddle/phi/infermeta/unary.h
浏览文件 @
28fd30cd
...
...
@@ -145,4 +145,8 @@ void PixelShuffleInferMeta(const MetaTensor& x,
const
std
::
string
&
data_format
,
MetaTensor
*
out
);
void
TransposeInferMeta
(
const
MetaTensor
&
x
,
const
std
::
vector
<
int
>&
axis
,
MetaTensor
*
out
);
}
// namespace phi
paddle/phi/kernels/transpose_kernel.h
浏览文件 @
28fd30cd
...
...
@@ -15,7 +15,10 @@
#pragma once
#include <vector>
#include "paddle/phi/core/dense_tensor.h"
#include "paddle/phi/infermeta/unary.h"
#include "paddle/phi/kernels/empty_kernel.h"
namespace
phi
{
...
...
@@ -25,4 +28,26 @@ void TransposeKernel(const Context& dev_ctx,
const
std
::
vector
<
int
>&
axis
,
DenseTensor
*
out
);
template
<
typename
T
,
typename
Context
>
DenseTensor
Transpose
(
const
Context
&
dev_ctx
,
const
DenseTensor
&
x
,
const
std
::
vector
<
int
>&
axis
)
{
auto
dense_out
=
Empty
<
T
,
Context
>
(
dev_ctx
);
MetaTensor
meta_out
(
&
dense_out
);
TransposeInferMeta
(
x
,
axis
,
&
meta_out
);
TransposeKernel
<
T
,
Context
>
(
dev_ctx
,
x
,
axis
,
&
dense_out
);
return
dense_out
;
}
template
<
typename
T
,
typename
Context
>
DenseTensor
TransposeLast2Dim
(
const
Context
&
dev_ctx
,
const
DenseTensor
&
x
)
{
size_t
rank
=
x
.
dims
().
size
();
std
::
vector
<
int
>
axis
(
rank
);
for
(
size_t
i
=
0
;
i
<
rank
;
++
i
)
{
axis
[
i
]
=
i
;
}
std
::
swap
(
axis
[
rank
-
1
],
axis
[
rank
-
2
]);
return
Transpose
<
T
,
Context
>
(
dev_ctx
,
x
,
axis
);
}
}
// namespace phi
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