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56869d99
编写于
8月 31, 2022
作者:
F
feifei-111
提交者:
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8月 31, 2022
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[phi] Migrate lookup_table_v2 and lookup_table_v2_grad XPU kernel to phi (#45590)
* test=kunlun * test=kunlun
上级
24176395
变更
3
显示空白变更内容
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并排
Showing
3 changed file
with
139 addition
and
144 deletion
+139
-144
paddle/fluid/operators/lookup_table_v2_op_xpu.cc
paddle/fluid/operators/lookup_table_v2_op_xpu.cc
+0
-144
paddle/phi/kernels/xpu/embedding_grad_kernel.cc
paddle/phi/kernels/xpu/embedding_grad_kernel.cc
+66
-0
paddle/phi/kernels/xpu/embedding_kernel.cc
paddle/phi/kernels/xpu/embedding_kernel.cc
+73
-0
未找到文件。
paddle/fluid/operators/lookup_table_v2_op_xpu.cc
已删除
100644 → 0
浏览文件 @
24176395
/* Copyright (c) 2016 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 <memory>
#include "paddle/fluid/framework/no_need_buffer_vars_inference.h"
#include "paddle/fluid/framework/op_version_registry.h"
#include "paddle/fluid/framework/var_type_inference.h"
#include "paddle/fluid/operators/lookup_table_v2_op.h"
#include "paddle/fluid/platform/device/device_wrapper.h"
#ifdef PADDLE_WITH_XPU
namespace
paddle
{
namespace
operators
{
template
<
typename
DeviceContext
,
typename
T
>
class
LookupTableV2XPUKernel
:
public
framework
::
OpKernel
<
T
>
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
auto
*
ids_t
=
context
.
Input
<
LoDTensor
>
(
"Ids"
);
// int
auto
*
output_t
=
context
.
Output
<
LoDTensor
>
(
"Out"
);
// float
auto
*
table_var
=
context
.
InputVar
(
"W"
);
PADDLE_ENFORCE_EQ
(
(
std
::
is_same
<
DeviceContext
,
platform
::
XPUDeviceContext
>::
value
),
true
,
platform
::
errors
::
PreconditionNotMet
(
"Unsupported place! only support "
"xpu place , please check your "
"place."
));
PADDLE_ENFORCE_EQ
(
table_var
->
IsType
<
LoDTensor
>
(),
true
,
platform
::
errors
::
PermissionDenied
(
"Unsupported Variable Type , idx in "
"LookupTableV2XPUKernel should be LoDTensor."
));
int64_t
padding_idx
=
context
.
Attr
<
int64_t
>
(
"padding_idx"
);
int64_t
ids_numel
=
ids_t
->
numel
();
auto
*
table_t
=
context
.
Input
<
LoDTensor
>
(
"W"
);
auto
&
dev_ctx
=
context
.
template
device_context
<
DeviceContext
>();
auto
*
table
=
table_t
->
data
<
T
>
();
auto
*
output
=
output_t
->
mutable_data
<
T
>
(
context
.
GetPlace
());
const
int64_t
*
ids
=
ids_t
->
data
<
int64_t
>
();
PADDLE_ENFORCE_EQ
(
ids_numel
<=
std
::
numeric_limits
<
int32_t
>::
max
(),
true
,
platform
::
errors
::
OutOfRange
(
"Number of ids greater than int32_t::max , please check "
"number of ids in LookupTableV2XPUKernel."
));
int
ym
=
static_cast
<
int
>
(
ids_numel
);
size_t
xm
=
table_t
->
dims
()[
0
];
size_t
n
=
table_t
->
dims
()[
1
];
int
r
=
xpu
::
embedding
<
T
,
int64_t
>
(
dev_ctx
.
x_context
(),
table
,
ids
,
output
,
xm
,
n
,
ym
,
static_cast
<
int
>
(
padding_idx
));
PADDLE_ENFORCE_XDNN_SUCCESS
(
r
,
"embedding"
);
}
};
template
<
typename
DeviceContext
,
typename
T
>
class
LookupTableV2GradXPUKernel
:
public
framework
::
OpKernel
<
T
>
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
auto
*
table_var
=
context
.
InputVar
(
"W"
);
DDim
table_dim
;
PADDLE_ENFORCE_EQ
(
table_var
->
IsType
<
LoDTensor
>
(),
true
,
platform
::
errors
::
PermissionDenied
(
"Unsupported Variable Type , idx in "
"LookupTableV2GradXPUKernel should be LoDTensor."
));
table_dim
=
context
.
Input
<
LoDTensor
>
(
"W"
)
->
dims
();
bool
is_sparse
=
context
.
Attr
<
bool
>
(
"is_sparse"
);
PADDLE_ENFORCE_EQ
(
is_sparse
,
false
,
platform
::
errors
::
InvalidArgument
(
"LookupTableV2GradXPUKernel dose NOT support is_sparse = True."
));
auto
ids_t
=
context
.
Input
<
LoDTensor
>
(
"Ids"
);
auto
d_output_t
=
context
.
Input
<
LoDTensor
>
(
framework
::
GradVarName
(
"Out"
));
auto
d_table_t
=
context
.
Output
<
LoDTensor
>
(
framework
::
GradVarName
(
"W"
));
int64_t
ids_numel
=
ids_t
->
numel
();
PADDLE_ENFORCE_EQ
(
ids_numel
<=
std
::
numeric_limits
<
int32_t
>::
max
(),
true
,
platform
::
errors
::
OutOfRange
(
"Number of ids greater than int32_t::max , please check "
"number of ids in LookupTableV2GradXPUKernel."
));
auto
&
dev_ctx
=
context
.
template
device_context
<
DeviceContext
>();
const
int64_t
*
ids_data
=
ids_t
->
data
<
int64_t
>
();
const
T
*
d_output_data
=
d_output_t
->
data
<
T
>
();
T
*
d_table_data
=
d_table_t
->
mutable_data
<
T
>
(
context
.
GetPlace
());
int
xm
=
d_table_t
->
dims
()[
0
];
int
ym
=
static_cast
<
int
>
(
ids_numel
);
int
n
=
d_table_t
->
dims
()[
1
];
int
padding_idx
=
context
.
Attr
<
int64_t
>
(
"padding_idx"
);
int
r
=
xpu
::
embedding_grad
<
T
,
int64_t
>
(
dev_ctx
.
x_context
(),
d_output_data
,
ids_data
,
d_table_data
,
xm
,
n
,
ym
,
padding_idx
);
PADDLE_ENFORCE_XDNN_SUCCESS
(
r
,
"embedding_grad"
);
}
};
}
// namespace operators
}
// namespace paddle
namespace
ops
=
paddle
::
operators
;
REGISTER_OP_XPU_KERNEL
(
lookup_table_v2
,
ops
::
LookupTableV2XPUKernel
<
paddle
::
platform
::
XPUDeviceContext
,
float
>
);
REGISTER_OP_XPU_KERNEL
(
lookup_table_v2_grad
,
ops
::
LookupTableV2GradXPUKernel
<
paddle
::
platform
::
XPUDeviceContext
,
float
>
);
#endif
paddle/phi/kernels/xpu/embedding_grad_kernel.cc
0 → 100644
浏览文件 @
56869d99
// 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/embedding_grad_kernel.h"
#include "paddle/phi/backends/xpu/enforce_xpu.h"
#include "paddle/phi/core/kernel_registry.h"
namespace
phi
{
template
<
typename
T
,
typename
Context
>
void
EmbeddingGradKernel
(
const
Context
&
ctx
,
const
DenseTensor
&
input
,
const
DenseTensor
&
weight
,
const
DenseTensor
&
out_grad
,
int64_t
padding_idx
,
DenseTensor
*
weight_grad
)
{
DDim
table_dim
;
table_dim
=
weight
.
dims
();
auto
ids_t
=
&
input
;
auto
d_output_t
=
&
out_grad
;
auto
d_table_t
=
weight_grad
;
int64_t
ids_numel
=
ids_t
->
numel
();
PADDLE_ENFORCE_EQ
(
ids_numel
<=
std
::
numeric_limits
<
int32_t
>::
max
(),
true
,
phi
::
errors
::
OutOfRange
(
"Number of ids greater than int32_t::max , please check "
"number of ids in LookupTableV2GradXPUKernel."
));
auto
&
dev_ctx
=
ctx
;
const
int64_t
*
ids_data
=
ids_t
->
data
<
int64_t
>
();
const
T
*
d_output_data
=
d_output_t
->
data
<
T
>
();
T
*
d_table_data
=
dev_ctx
.
template
Alloc
<
T
>(
d_table_t
);
int
xm
=
d_table_t
->
dims
()[
0
];
int
ym
=
static_cast
<
int
>
(
ids_numel
);
int
n
=
d_table_t
->
dims
()[
1
];
int
r
=
xpu
::
embedding_grad
<
T
,
int64_t
>
(
dev_ctx
.
x_context
(),
d_output_data
,
ids_data
,
d_table_data
,
xm
,
n
,
ym
,
padding_idx
);
PADDLE_ENFORCE_XDNN_SUCCESS
(
r
,
"embedding_grad"
);
}
}
// namespace phi
PD_REGISTER_KERNEL
(
embedding_grad
,
XPU
,
ALL_LAYOUT
,
phi
::
EmbeddingGradKernel
,
float
)
{}
paddle/phi/kernels/xpu/embedding_kernel.cc
0 → 100644
浏览文件 @
56869d99
// 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/embedding_kernel.h"
#include "paddle/phi/backends/xpu/enforce_xpu.h"
#include "paddle/phi/core/kernel_registry.h"
namespace
phi
{
template
<
typename
T
,
typename
Context
>
void
EmbeddingKernel
(
const
Context
&
ctx
,
const
DenseTensor
&
inputx
,
const
DenseTensor
&
weight
,
int64_t
padding_idx
,
DenseTensor
*
out
)
{
auto
*
ids_t
=
&
inputx
;
// int
auto
*
output_t
=
out
;
// float
PADDLE_ENFORCE_EQ
(
(
std
::
is_same
<
Context
,
XPUContext
>::
value
),
true
,
phi
::
errors
::
PreconditionNotMet
(
"Unsupported place! only support "
"xpu place , please check your "
"place."
));
int64_t
ids_numel
=
ids_t
->
numel
();
auto
*
table_t
=
&
weight
;
auto
&
dev_ctx
=
ctx
;
auto
*
table
=
table_t
->
data
<
T
>
();
auto
*
output
=
dev_ctx
.
template
Alloc
<
T
>(
output_t
);
const
int64_t
*
ids
=
ids_t
->
data
<
int64_t
>
();
PADDLE_ENFORCE_EQ
(
ids_numel
<=
std
::
numeric_limits
<
int32_t
>::
max
(),
true
,
phi
::
errors
::
OutOfRange
(
"Number of ids greater than int32_t::max , please check "
"number of ids in LookupTableV2XPUKernel."
));
int
ym
=
static_cast
<
int
>
(
ids_numel
);
size_t
xm
=
table_t
->
dims
()[
0
];
size_t
n
=
table_t
->
dims
()[
1
];
int
r
=
xpu
::
embedding
<
T
,
int64_t
>
(
dev_ctx
.
x_context
(),
table
,
ids
,
output
,
xm
,
n
,
ym
,
static_cast
<
int
>
(
padding_idx
));
PADDLE_ENFORCE_XDNN_SUCCESS
(
r
,
"embedding"
);
}
}
// namespace phi
PD_REGISTER_KERNEL
(
embedding
,
XPU
,
ALL_LAYOUT
,
phi
::
EmbeddingKernel
,
float
)
{}
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