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体验新版 GitCode,发现更多精彩内容 >>
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36d9a364
编写于
1月 22, 2022
作者:
C
Chen Weihang
提交者:
GitHub
1月 22, 2022
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差异文件
add infershape utils (#39140)
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60df9254
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3
隐藏空白更改
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Showing
3 changed file
with
237 addition
and
2 deletion
+237
-2
paddle/fluid/framework/CMakeLists.txt
paddle/fluid/framework/CMakeLists.txt
+3
-2
paddle/fluid/framework/infershape_utils.cc
paddle/fluid/framework/infershape_utils.cc
+190
-0
paddle/fluid/framework/infershape_utils.h
paddle/fluid/framework/infershape_utils.h
+44
-0
未找到文件。
paddle/fluid/framework/CMakeLists.txt
浏览文件 @
36d9a364
...
...
@@ -192,11 +192,11 @@ cc_library(unused_var_check SRCS unused_var_check.cc DEPS glog no_need_buffer_va
IF
(
WITH_XPU
)
cc_library
(
operator SRCS operator.cc DEPS xpu_op_list op_info device_context tensor scope glog trainer_desc_proto data_feed_proto
shape_inference data_transform lod_tensor profiler transfer_scope_cache op_kernel_type op_call_stack unused_var_check nan_inf_utils
pten pten_utils kernel_factory
)
pten pten_utils kernel_factory
infershape_utils
)
ELSE
()
cc_library
(
operator SRCS operator.cc DEPS op_info device_context tensor scope glog trainer_desc_proto data_feed_proto
shape_inference data_transform lod_tensor profiler transfer_scope_cache op_kernel_type op_call_stack unused_var_check nan_inf_utils
pten pten_utils kernel_factory
)
pten pten_utils kernel_factory
infershape_utils
)
ENDIF
()
cc_test
(
operator_test SRCS operator_test.cc DEPS operator op_registry device_context
)
...
...
@@ -408,6 +408,7 @@ cc_test(save_load_util_test SRCS save_load_util_test.cc DEPS save_load_util tens
cc_library
(
generator SRCS generator.cc DEPS enforce place
)
cc_library
(
pten_utils SRCS pten_utils.cc DEPS lod_tensor selected_rows_utils place pten var_type_traits pten_api_utils op_info
)
cc_library
(
infershape_utils SRCS infershape_utils.cc DEPS lod_tensor selected_rows_utils attribute place pten var_type_traits pten pten_api_utils op_info shape_inference
)
# Get the current working branch
execute_process
(
...
...
paddle/fluid/framework/infershape_utils.cc
0 → 100644
浏览文件 @
36d9a364
/* 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/fluid/framework/infershape_utils.h"
#include "paddle/fluid/framework/framework.pb.h"
#include "paddle/fluid/platform/enforce.h"
#include "paddle/pten/core/compat/arg_map_context.h"
#include "paddle/pten/core/compat_utils.h"
#include "paddle/pten/core/convert_utils.h"
#include "paddle/pten/core/dense_tensor.h"
#include "paddle/pten/core/meta_tensor.h"
namespace
paddle
{
namespace
framework
{
class
InferShapeArgumentMappingContext
:
public
pten
::
ArgumentMappingContext
{
public:
explicit
InferShapeArgumentMappingContext
(
const
InferShapeContext
&
ctx
)
:
ctx_
(
ctx
)
{}
bool
HasInput
(
const
std
::
string
&
name
)
const
override
{
return
ctx_
.
HasInput
(
name
);
}
bool
HasOutput
(
const
std
::
string
&
name
)
const
override
{
return
ctx_
.
HasOutput
(
name
);
}
paddle
::
any
Attr
(
const
std
::
string
&
name
)
const
override
{
auto
&
attr
=
ctx_
.
Attrs
().
GetAttr
(
name
);
return
GetAttrValue
(
attr
);
}
size_t
InputSize
(
const
std
::
string
&
name
)
const
override
{
return
ctx_
.
Inputs
(
name
).
size
();
}
size_t
OutputSize
(
const
std
::
string
&
name
)
const
override
{
return
ctx_
.
Outputs
(
name
).
size
();
}
bool
IsDenseTensorInput
(
const
std
::
string
&
name
)
const
override
{
auto
var_types
=
ctx_
.
GetInputsVarType
(
name
);
return
var_types
[
0
]
==
proto
::
VarType
::
LOD_TENSOR
;
}
bool
IsSelectedRowsInput
(
const
std
::
string
&
name
)
const
override
{
auto
var_types
=
ctx_
.
GetInputsVarType
(
name
);
return
var_types
[
0
]
==
proto
::
VarType
::
SELECTED_ROWS
;
}
private:
const
InferShapeContext
&
ctx_
;
};
// TODO(chenweihang): Support SelectedRows later
// TODO(chenweihang): Support TensorArray later
class
CompatMetaTensor
:
public
pten
::
MetaTensor
{
public:
CompatMetaTensor
(
InferShapeVarPtr
var
,
bool
is_runtime
)
:
var_
(
std
::
move
(
var
)),
is_runtime_
(
is_runtime
)
{}
CompatMetaTensor
()
=
default
;
CompatMetaTensor
(
const
CompatMetaTensor
&
)
=
default
;
CompatMetaTensor
(
CompatMetaTensor
&&
)
=
default
;
CompatMetaTensor
&
operator
=
(
const
CompatMetaTensor
&
)
=
delete
;
CompatMetaTensor
&
operator
=
(
CompatMetaTensor
&&
)
=
delete
;
int64_t
numel
()
const
override
{
if
(
is_runtime_
)
{
auto
*
var
=
BOOST_GET_CONST
(
Variable
*
,
var_
);
return
var
->
Get
<
Tensor
>
().
numel
();
}
else
{
auto
*
var
=
BOOST_GET_CONST
(
VarDesc
*
,
var_
);
return
var
->
ElementSize
();
}
}
DDim
dims
()
const
override
{
if
(
is_runtime_
)
{
auto
*
var
=
BOOST_GET_CONST
(
Variable
*
,
var_
);
return
var
->
Get
<
LoDTensor
>
().
dims
();
}
else
{
auto
*
var
=
BOOST_GET_CONST
(
VarDesc
*
,
var_
);
return
make_ddim
(
var
->
GetShape
());
}
}
pten
::
DataType
dtype
()
const
override
{
if
(
is_runtime_
)
{
auto
*
var
=
BOOST_GET_CONST
(
Variable
*
,
var_
);
return
var
->
Get
<
LoDTensor
>
().
dtype
();
}
else
{
auto
*
var
=
BOOST_GET_CONST
(
VarDesc
*
,
var_
);
return
pten
::
TransToPtenDataType
(
var
->
GetDataType
());
}
}
DataLayout
layout
()
const
override
{
if
(
is_runtime_
)
{
auto
*
var
=
BOOST_GET_CONST
(
Variable
*
,
var_
);
return
var
->
Get
<
LoDTensor
>
().
layout
();
}
else
{
PADDLE_THROW
(
platform
::
errors
::
Unimplemented
(
"Unsupported get layout for VarDesc now."
));
}
}
void
set_dims
(
const
DDim
&
dims
)
override
{
if
(
is_runtime_
)
{
auto
*
var
=
BOOST_GET
(
Variable
*
,
var_
);
LoDTensor
*
tensor
=
var
->
GetMutable
<
LoDTensor
>
();
pten
::
CompatibleDenseTensorUtils
::
GetMutableMeta
(
static_cast
<
pten
::
DenseTensor
*>
(
tensor
))
->
dims
=
dims
;
}
else
{
auto
*
var
=
BOOST_GET
(
VarDesc
*
,
var_
);
var
->
SetShape
(
vectorize
(
dims
));
}
}
void
set_dtype
(
pten
::
DataType
dtype
)
override
{
if
(
is_runtime_
)
{
auto
*
var
=
BOOST_GET
(
Variable
*
,
var_
);
LoDTensor
*
tensor
=
var
->
GetMutable
<
LoDTensor
>
();
pten
::
CompatibleDenseTensorUtils
::
GetMutableMeta
(
static_cast
<
pten
::
DenseTensor
*>
(
tensor
))
->
dtype
=
dtype
;
}
else
{
auto
*
var
=
BOOST_GET
(
VarDesc
*
,
var_
);
var
->
SetDataType
(
pten
::
TransToProtoVarType
(
dtype
));
}
}
void
set_layout
(
DataLayout
layout
)
override
{
if
(
is_runtime_
)
{
auto
*
var
=
BOOST_GET
(
Variable
*
,
var_
);
LoDTensor
*
tensor
=
var
->
GetMutable
<
LoDTensor
>
();
pten
::
CompatibleDenseTensorUtils
::
GetMutableMeta
(
static_cast
<
pten
::
DenseTensor
*>
(
tensor
))
->
layout
=
layout
;
}
else
{
PADDLE_THROW
(
platform
::
errors
::
Unimplemented
(
"Unsupported set layout for VarDesc now."
));
}
}
void
share_lod
(
const
MetaTensor
&
meta_tensor
)
override
{
if
(
is_runtime_
)
{
auto
*
var
=
BOOST_GET
(
Variable
*
,
var_
);
LoDTensor
*
tensor
=
var
->
GetMutable
<
LoDTensor
>
();
pten
::
CompatibleDenseTensorUtils
::
GetMutableMeta
(
static_cast
<
pten
::
DenseTensor
*>
(
tensor
))
->
lod
=
static_cast
<
const
CompatMetaTensor
&>
(
meta_tensor
).
GetRuntimeLoD
();
}
else
{
auto
*
var
=
BOOST_GET
(
VarDesc
*
,
var_
);
var
->
SetLoDLevel
(
static_cast
<
const
CompatMetaTensor
&>
(
meta_tensor
)
.
GetCompileTimeLoD
());
}
}
private:
const
LoD
&
GetRuntimeLoD
()
const
{
auto
*
var
=
BOOST_GET_CONST
(
Variable
*
,
var_
);
return
var
->
Get
<
LoDTensor
>
().
lod
();
}
int32_t
GetCompileTimeLoD
()
const
{
auto
*
var
=
BOOST_GET_CONST
(
VarDesc
*
,
var_
);
return
var
->
GetLoDLevel
();
}
InferShapeVarPtr
var_
;
bool
is_runtime_
;
};
}
// namespace framework
}
// namespace paddle
paddle/fluid/framework/infershape_utils.h
0 → 100644
浏览文件 @
36d9a364
/* 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. */
#pragma once
#include <string>
#include "paddle/fluid/framework/op_info.h"
#include "paddle/fluid/framework/shape_inference.h"
namespace
pten
{
class
InferMetaContext
;
}
// namespace pten
namespace
paddle
{
namespace
framework
{
// TODO(chenweihang): impl this function in next PR
pten
::
InferMetaContext
BuildInferMetaContext
(
InferShapeContext
*
ctx
,
const
std
::
string
&
op_type
);
#define DELCARE_INFER_SHAPE_FUNCTOR(op_type, functor_name, fn) \
struct functor_name : public paddle::framework::InferShapeBase { \
void operator()( \
paddle::framework::InferShapeContext* ctx) const override { \
auto infer_meta_context = \
paddle::framework::BuildInferMetaContext(ctx, #op_type); \
fn(&infer_meta_context); \
} \
}
}
// namespace framework
}
// namespace paddle
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