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4b749513
编写于
8月 29, 2022
作者:
Z
zhangbo9674
提交者:
GitHub
8月 29, 2022
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电子邮件补丁
差异文件
Move expand_as_v2 XPU kernel to PHI, test=kunlun (#45474)
上级
23a79923
变更
2
隐藏空白更改
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并排
Showing
2 changed file
with
121 addition
and
123 deletion
+121
-123
paddle/fluid/operators/expand_as_v2_op_xpu.cc
paddle/fluid/operators/expand_as_v2_op_xpu.cc
+0
-123
paddle/phi/kernels/xpu/expand_as_kernel.cc
paddle/phi/kernels/xpu/expand_as_kernel.cc
+121
-0
未找到文件。
paddle/fluid/operators/expand_as_v2_op_xpu.cc
已删除
100644 → 0
浏览文件 @
23a79923
/* Copyright (c) 2021 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. */
#ifdef PADDLE_WITH_XPU
#include "paddle/fluid/operators/expand_as_v2_op.h"
namespace
paddle
{
namespace
operators
{
template
<
typename
T
>
class
ExpandAsV2XPUKernel
:
public
framework
::
OpKernel
<
T
>
{
using
XPUType
=
typename
XPUTypeTrait
<
T
>::
Type
;
public:
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
auto
rank
=
context
.
Input
<
Tensor
>
(
"X"
)
->
dims
().
size
();
auto
target_shape
=
context
.
Attr
<
std
::
vector
<
int
>>
(
"target_shape"
);
auto
target_rank
=
target_shape
.
size
();
PADDLE_ENFORCE_GE
(
target_rank
,
rank
,
platform
::
errors
::
InvalidArgument
(
"The rank (%d) of the input 'target_tensor' for "
"expand_as_v2 op must be greater than or equal to "
"the rank (%d) of the input 'x'."
,
target_rank
,
rank
));
PADDLE_ENFORCE_GE
(
rank
,
1
,
platform
::
errors
::
InvalidArgument
(
"The rank (%d) of the input 'x' for "
"expand_as_v2 op must be positive."
,
rank
));
PADDLE_ENFORCE_LE
(
target_rank
,
MAX_RANK_SUPPORTED
,
platform
::
errors
::
InvalidArgument
(
"The rank (%d) of the input 'target_tensor' for "
"expand_as_v2 op must be less than or equal to %d."
,
target_rank
,
MAX_RANK_SUPPORTED
));
ExpandAs
(
context
);
}
protected:
void
ExpandAs
(
const
framework
::
ExecutionContext
&
context
)
const
{
auto
*
in0
=
context
.
Input
<
framework
::
Tensor
>
(
"X"
);
auto
in_dims
=
in0
->
dims
();
auto
target_shape
=
context
.
Attr
<
std
::
vector
<
int
>>
(
"target_shape"
);
auto
vec_in_dims
=
phi
::
vectorize
<
int
>
(
in_dims
);
auto
diff
=
target_shape
.
size
()
-
vec_in_dims
.
size
();
vec_in_dims
.
insert
(
vec_in_dims
.
begin
(),
diff
,
1
);
for
(
size_t
i
=
0
;
i
<
vec_in_dims
.
size
();
++
i
)
{
PADDLE_ENFORCE_NE
(
target_shape
[
i
],
0
,
platform
::
errors
::
InvalidArgument
(
"The value of target shape cannot be zero."
));
if
(
vec_in_dims
[
i
]
!=
1
)
{
PADDLE_ENFORCE_EQ
(
vec_in_dims
[
i
],
target_shape
[
i
],
platform
::
errors
::
InvalidArgument
(
"The value (%d) of the non-singleton dimension does not match"
" the corresponding value (%d) in "
"target tensor for expand_as_v2 op."
,
vec_in_dims
[
i
],
target_shape
[
i
]));
}
}
auto
*
out0
=
context
.
Output
<
framework
::
Tensor
>
(
"Out"
);
framework
::
DDim
out_dims
=
phi
::
make_ddim
(
target_shape
);
out0
->
Resize
(
out_dims
);
out0
->
mutable_data
<
T
>
(
context
.
GetPlace
());
auto
&
in0_shape
=
vec_in_dims
;
auto
out0_shape
=
phi
::
vectorize
<
int
>
(
out_dims
);
const
auto
&
dev_ctx
=
context
.
template
device_context
<
paddle
::
platform
::
XPUDeviceContext
>();
int
r
=
XPU_SUCCESS
;
if
(
std
::
is_same
<
T
,
bool
>::
value
)
{
auto
in0_data
=
reinterpret_cast
<
const
int8_t
*>
(
in0
->
data
<
T
>
());
auto
out0_data
=
reinterpret_cast
<
int8_t
*>
(
out0
->
data
<
T
>
());
r
=
xpu
::
broadcast
<
int8_t
>
(
dev_ctx
.
x_context
(),
in0_data
,
out0_data
,
in0_shape
,
out0_shape
);
}
else
{
auto
in0_data
=
reinterpret_cast
<
const
XPUType
*>
(
in0
->
data
<
T
>
());
auto
out0_data
=
reinterpret_cast
<
XPUType
*>
(
out0
->
data
<
T
>
());
r
=
xpu
::
broadcast
<
XPUType
>
(
dev_ctx
.
x_context
(),
in0_data
,
out0_data
,
in0_shape
,
out0_shape
);
}
PADDLE_ENFORCE_EQ
(
r
,
XPU_SUCCESS
,
platform
::
errors
::
External
(
"XPU API(broadcast) return wrong "
"value[%d %s] in ExpandAsV2XPUKernel."
,
r
,
XPUAPIErrorMsg
[
r
]));
}
};
}
// namespace operators
}
// namespace paddle
namespace
ops
=
paddle
::
operators
;
REGISTER_OP_XPU_KERNEL
(
expand_as_v2
,
ops
::
ExpandAsV2XPUKernel
<
float
>
,
ops
::
ExpandAsV2XPUKernel
<
paddle
::
platform
::
float16
>
,
ops
::
ExpandAsV2XPUKernel
<
bool
>
,
ops
::
ExpandAsV2XPUKernel
<
int
>
,
ops
::
ExpandAsV2XPUKernel
<
int64_t
>
);
#endif
paddle/phi/kernels/xpu/expand_as_kernel.cc
0 → 100644
浏览文件 @
4b749513
// 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/kernels/expand_as_kernel.h"
#include "paddle/phi/backends/xpu/enforce_xpu.h"
#include "paddle/phi/core/kernel_registry.h"
#define MAX_RANK_SUPPORTED 6
namespace
phi
{
template
<
typename
Context
,
typename
T
>
void
ExpandAs
(
const
Context
&
context
,
const
DenseTensor
&
in0
,
const
std
::
vector
<
int
>&
target_shape
,
DenseTensor
*
out0
)
{
using
XPUType
=
typename
XPUTypeTrait
<
T
>::
Type
;
auto
in_dims
=
in0
.
dims
();
auto
vec_in_dims
=
phi
::
vectorize
<
int
>
(
in_dims
);
auto
diff
=
target_shape
.
size
()
-
vec_in_dims
.
size
();
vec_in_dims
.
insert
(
vec_in_dims
.
begin
(),
diff
,
1
);
for
(
size_t
i
=
0
;
i
<
vec_in_dims
.
size
();
++
i
)
{
PADDLE_ENFORCE_NE
(
target_shape
[
i
],
0
,
phi
::
errors
::
InvalidArgument
(
"The value of target shape cannot be zero."
));
if
(
vec_in_dims
[
i
]
!=
1
)
{
PADDLE_ENFORCE_EQ
(
vec_in_dims
[
i
],
target_shape
[
i
],
phi
::
errors
::
InvalidArgument
(
"The value (%d) of the non-singleton dimension does not match"
" the corresponding value (%d) in "
"target tensor for expand_as_v2 op."
,
vec_in_dims
[
i
],
target_shape
[
i
]));
}
}
phi
::
DDim
out_dims
=
phi
::
make_ddim
(
target_shape
);
out0
->
Resize
(
out_dims
);
context
.
template
Alloc
<
T
>(
out0
);
auto
&
in0_shape
=
vec_in_dims
;
auto
out0_shape
=
phi
::
vectorize
<
int
>
(
out_dims
);
int
r
=
XPU_SUCCESS
;
if
(
std
::
is_same
<
T
,
bool
>::
value
)
{
auto
in0_data
=
reinterpret_cast
<
const
int8_t
*>
(
in0
.
data
<
T
>
());
auto
out0_data
=
reinterpret_cast
<
int8_t
*>
(
out0
->
data
<
T
>
());
r
=
xpu
::
broadcast
<
int8_t
>
(
context
.
x_context
(),
in0_data
,
out0_data
,
in0_shape
,
out0_shape
);
}
else
{
auto
in0_data
=
reinterpret_cast
<
const
XPUType
*>
(
in0
.
data
<
T
>
());
auto
out0_data
=
reinterpret_cast
<
XPUType
*>
(
out0
->
data
<
T
>
());
r
=
xpu
::
broadcast
<
XPUType
>
(
context
.
x_context
(),
in0_data
,
out0_data
,
in0_shape
,
out0_shape
);
}
PADDLE_ENFORCE_EQ
(
r
,
XPU_SUCCESS
,
phi
::
errors
::
External
(
"XPU API(broadcast) return wrong "
"value[%d %s] in ExpandAsV2XPUKernel."
,
r
,
XPUAPIErrorMsg
[
r
]));
}
template
<
typename
T
,
typename
Context
>
void
ExpandAsKernel
(
const
Context
&
ctx
,
const
DenseTensor
&
x
,
const
paddle
::
optional
<
DenseTensor
>&
y
,
const
std
::
vector
<
int
>&
target_shape
,
DenseTensor
*
out
)
{
auto
rank
=
x
.
dims
().
size
();
auto
target_rank
=
target_shape
.
size
();
PADDLE_ENFORCE_GE
(
target_rank
,
rank
,
phi
::
errors
::
InvalidArgument
(
"The rank (%d) of the input 'target_tensor' for "
"expand_as_v2 op must be greater than or equal to "
"the rank (%d) of the input 'x'."
,
target_rank
,
rank
));
PADDLE_ENFORCE_GE
(
rank
,
1
,
phi
::
errors
::
InvalidArgument
(
"The rank (%d) of the input 'x' for "
"expand_as_v2 op must be positive."
,
rank
));
PADDLE_ENFORCE_LE
(
target_rank
,
MAX_RANK_SUPPORTED
,
phi
::
errors
::
InvalidArgument
(
"The rank (%d) of the input 'target_tensor' for "
"expand_as_v2 op must be less than or equal to %d."
,
target_rank
,
MAX_RANK_SUPPORTED
));
ExpandAs
<
Context
,
T
>
(
ctx
,
x
,
target_shape
,
out
);
}
}
// namespace phi
PD_REGISTER_KERNEL
(
expand_as
,
XPU
,
ALL_LAYOUT
,
phi
::
ExpandAsKernel
,
float
,
phi
::
dtype
::
float16
,
bool
,
int
,
int64_t
)
{}
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