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d06b9ba4
编写于
6月 01, 2023
作者:
H
hong
提交者:
GitHub
6月 01, 2023
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差异文件
[IR]add infer_shape interface (#54250)
* add infer_shape interface * update
上级
455a6735
变更
5
隐藏空白更改
内联
并排
Showing
5 changed file
with
206 addition
and
0 deletion
+206
-0
paddle/fluid/dialect/op_gen.py
paddle/fluid/dialect/op_gen.py
+41
-0
paddle/fluid/interface/CMakeLists.txt
paddle/fluid/interface/CMakeLists.txt
+7
-0
paddle/fluid/interface/infershape.h
paddle/fluid/interface/infershape.h
+49
-0
test/cpp/ir/core/CMakeLists.txt
test/cpp/ir/core/CMakeLists.txt
+10
-0
test/cpp/ir/core/ir_infershape_test.cc
test/cpp/ir/core/ir_infershape_test.cc
+99
-0
未找到文件。
paddle/fluid/dialect/op_gen.py
浏览文件 @
d06b9ba4
...
...
@@ -35,6 +35,10 @@ H_FILE_TEMPLATE = """#ifdef GET_OP_LIST
#include "paddle/fluid/dialect/utils.h"
#include "paddle/fluid/dialect/pd_interface.h"
#include "paddle/fluid/interface/infershape.h"
#include "paddle/fluid/framework/infershape_utils.h"
#include "paddle/phi/core/infermeta_utils.h"
{input}
#endif
"""
...
...
@@ -52,6 +56,7 @@ class {op_name} : public ir::Op<{op_name}{interfaces}{traits}> {{
static OpInfoTuple GetOpInfo();
static void verify(const std::vector<ir::OpResult> &inputs, const std::vector<ir::Type> &outputs, const ir::AttributeMap &attributes);
{get_inputs_and_outputs}
{exclusive_interface}
}};
"""
op_0_attribute_declare_str
=
(
...
...
@@ -77,6 +82,14 @@ CC_FILE_TEMPLATE = """#include "{h_file}"
#include "paddle/ir/core/ir_context.h"
#include "paddle/phi/core/enforce.h"
#include "paddle/phi/infermeta/unary.h"
#include "paddle/phi/infermeta/nullary.h"
#include "paddle/phi/infermeta/binary.h"
#include "paddle/phi/infermeta/ternary.h"
#include "paddle/phi/infermeta/multiary.h"
#include "paddle/phi/infermeta/backward.h"
#include "paddle/phi/core/infermeta_utils.h"
{input}
"""
...
...
@@ -217,6 +230,12 @@ ATTRIBUTE_VECTOR_CHECK_TEMPLATE = """PADDLE_ENFORCE_EQ(attributes.count("{attrib
phi::errors::PreconditionNotMet("Type of attribute: {attribute_name} is not right."));
}}
"""
OP_INFER_SHAPE_TEMPLATE
=
"""
void {op_name}::InferShape( phi::InferMetaContext *infer_meta ) {{
auto fn = PD_INFER_META(phi::{infer_meta_func});
fn(infer_meta);
}}
"""
def
to_phi_and_fluid_op_name
(
op_item
):
...
...
@@ -280,6 +299,11 @@ class OpInfoParser:
self
.
attribute_data_type_list
=
self
.
parse_attribute_data_type_list
()
self
.
cross_check
(
self
.
attribute_name_list
,
self
.
attribute_type_list
)
if
'infer_meta'
in
self
.
op_yaml_item
:
self
.
infer_shape_func
=
self
.
op_yaml_item
[
'infer_meta'
][
"func"
]
else
:
self
.
infer_shape_func
=
None
def
cross_check
(
self
,
name_list
,
type_list
,
optional_list
=
None
):
assert
len
(
name_list
)
==
len
(
type_list
...
...
@@ -496,6 +520,13 @@ def OpGenerator(
op_interfaces
=
[
"GetOpInfoInterface"
]
op_traits
=
[]
exclusive_interface_str
=
""
if
op_info
.
infer_shape_func
:
op_interfaces
+=
[
"InferShapeInterface"
]
exclusive_interface_str
+=
(
" static void InferShape( phi::InferMetaContext *infer_meta );"
)
# If op has inplace info, we will generate inplace op and non-inplace op.
for
op_name
in
op_info
.
op_phi_name
:
op_class_name
=
to_pascal_case
(
op_name
)
+
"Op"
...
...
@@ -531,6 +562,7 @@ def OpGenerator(
attribute_declare
=
op_0_attribute_declare_str
,
attribute_num
=
0
,
get_inputs_and_outputs
=
op_get_inputs_outputs_str
,
exclusive_interface
=
exclusive_interface_str
,
)
op_defined_str
=
""
else
:
...
...
@@ -544,6 +576,7 @@ def OpGenerator(
),
attribute_num
=
len
(
op_attribute_name_list
),
get_inputs_and_outputs
=
op_get_inputs_outputs_str
,
exclusive_interface
=
exclusive_interface_str
,
)
attribute_names_str
=
(
'"'
+
'", "'
.
join
(
op_attribute_name_list
)
+
'"'
...
...
@@ -712,11 +745,19 @@ def OpGenerator(
attributes_check
=
attributes_check_str
,
)
op_infer_shape_str
=
""
if
op_info
.
infer_shape_func
:
op_infer_shape_str
=
OP_INFER_SHAPE_TEMPLATE
.
format
(
op_name
=
op_class_name
,
infer_meta_func
=
op_info
.
infer_shape_func
,
)
ops_name_list
.
append
(
op_class_name
)
ops_declare_list
.
append
(
op_declare_str
)
ops_defined_list
.
append
(
op_defined_str
)
ops_defined_list
.
append
(
op_info_func_str
)
ops_defined_list
.
append
(
op_verify_str
)
ops_defined_list
.
append
(
op_infer_shape_str
)
# (4) Generate head file str
op_namespaces_prev
=
""
...
...
paddle/fluid/interface/CMakeLists.txt
0 → 100644
浏览文件 @
d06b9ba4
# All source files of pd_dialect, except for the source file of op, which is generated in the compilation directory.
file
(
GLOB PD_INTERFACE_SRCS
"*.cc"
)
cc_library
(
pd_interface
SRCS
${
PD_INTERFACE_SRCS
}
DEPS new_ir framework_proto dense_tensor phi_utils
)
paddle/fluid/interface/infershape.h
0 → 100644
浏览文件 @
d06b9ba4
// Copyright (c) 2023 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 "paddle/ir/core/op_base.h"
#include "paddle/phi/core/infermeta_utils.h"
class
InferShapeInterface
:
public
ir
::
OpInterfaceBase
<
InferShapeInterface
>
{
public:
struct
Concept
{
explicit
Concept
(
void
(
*
infer_shape
)(
ir
::
Operation
*
,
phi
::
InferMetaContext
*
))
:
infer_shape_
(
infer_shape
)
{}
void
(
*
infer_shape_
)(
ir
::
Operation
*
,
phi
::
InferMetaContext
*
);
};
template
<
class
ConcreteOp
>
struct
Model
:
public
Concept
{
static
void
InferShape
(
ir
::
Operation
*
op
,
phi
::
InferMetaContext
*
infer_meta
)
{
ConcreteOp
concret_op
=
op
->
dyn_cast
<
ConcreteOp
>
();
if
(
concret_op
==
nullptr
)
throw
(
"concret_op is nullptr"
);
concret_op
.
InferShape
(
infer_meta
);
}
Model
()
:
Concept
(
InferShape
)
{}
};
InferShapeInterface
(
ir
::
Operation
*
op
,
Concept
*
impl
)
:
ir
::
OpInterfaceBase
<
InferShapeInterface
>
(
op
),
impl_
(
impl
)
{}
void
InferShape
(
phi
::
InferMetaContext
*
infer_meta
)
{
impl_
->
infer_shape_
(
operation
(),
infer_meta
);
}
private:
Concept
*
impl_
;
};
test/cpp/ir/core/CMakeLists.txt
浏览文件 @
d06b9ba4
...
...
@@ -12,6 +12,16 @@ cc_test_old(
phi
gtest
)
cc_test_old
(
ir_infershape_test
SRCS
ir_infershape_test.cc
DEPS
new_ir
pd_dialect
phi
gtest
)
file
(
DOWNLOAD
https://paddle-ci.gz.bcebos.com/ir_translator_test/restnet50_main.prog
...
...
test/cpp/ir/core/ir_infershape_test.cc
0 → 100644
浏览文件 @
d06b9ba4
// Copyright (c) 2023 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 <gtest/gtest.h>
#include "paddle/ir/core/block.h"
#include "paddle/ir/core/builder.h"
#include "paddle/ir/core/builtin_attribute.h"
#include "paddle/ir/core/builtin_type.h"
#include "paddle/ir/core/dialect.h"
#include "paddle/ir/core/ir_context.h"
#include "paddle/ir/core/op_base.h"
#include "paddle/ir/core/region.h"
#include "paddle/fluid/framework/scope.h"
#include "paddle/fluid/framework/tensor.h"
#include "paddle/fluid/framework/variable.h"
#include "paddle/fluid/framework/variable_helper.h"
#include "paddle/phi/common/place.h"
#include "paddle/phi/core/kernel_context.h"
#include "paddle/phi/core/kernel_factory.h"
#include "paddle/fluid/interface/infershape.h"
#include "paddle/fluid/platform/init.h"
#include "paddle/phi/core/infermeta_utils.h"
#include "paddle/phi/infermeta/nullary.h"
// Define op
class
OperationTest
:
public
ir
::
Op
<
OperationTest
,
InferShapeInterface
>
{
public:
using
Op
::
Op
;
static
const
char
*
name
()
{
return
"test.operation2"
;
}
static
constexpr
uint32_t
attributes_num
=
2
;
static
const
char
*
attributes_name
[
attributes_num
];
static
void
verify
(
const
std
::
vector
<
ir
::
OpResult
>
&
inputs
,
const
std
::
vector
<
ir
::
Type
>
&
outputs
,
const
ir
::
AttributeMap
&
attributes
)
{}
static
void
InferShape
(
phi
::
InferMetaContext
*
infer_meta
)
{
auto
fn
=
PD_INFER_META
(
phi
::
CreateInferMeta
);
fn
(
infer_meta
);
}
};
const
char
*
OperationTest
::
attributes_name
[
attributes_num
]
=
{
"op2_attr1"
,
"op2_attr2"
};
// Define a dialect, op1 and op2 will be registered by this dialect.
class
TestDialect
:
public
ir
::
Dialect
{
public:
explicit
TestDialect
(
ir
::
IrContext
*
context
)
:
ir
::
Dialect
(
name
(),
context
,
ir
::
TypeId
::
get
<
TestDialect
>
())
{
initialize
();
}
static
const
char
*
name
()
{
return
"test"
;
}
private:
void
initialize
()
{
RegisterOps
<
OperationTest
>
();
}
};
TEST
(
infershape_test
,
infershape_test
)
{
ir
::
IrContext
*
ctx
=
ir
::
IrContext
::
Instance
();
ir
::
Dialect
*
test_dialect
=
ctx
->
GetOrRegisterDialect
<
TestDialect
>
();
EXPECT_EQ
(
test_dialect
!=
nullptr
,
true
);
// (2) Get registered operations.
std
::
string
op_name
=
OperationTest
::
name
();
ir
::
OpInfo
op_info
=
ctx
->
GetRegisteredOpInfo
(
op_name
);
std
::
vector
<
ir
::
OpResult
>
op_inputs
=
{};
std
::
vector
<
ir
::
Type
>
op_output_types
=
{
ir
::
Float32Type
::
get
(
ctx
)};
ir
::
Operation
*
op
=
ir
::
Operation
::
create
(
op_inputs
,
{},
op_output_types
,
op_info
);
InferShapeInterface
interface
=
op
->
dyn_cast
<
InferShapeInterface
>
();
phi
::
InferMetaContext
infer_meta_ctx
;
infer_meta_ctx
.
EmplaceBackAttr
(
phi
::
IntArray
({
5
,
6
}));
infer_meta_ctx
.
EmplaceBackAttr
(
phi
::
DataType
::
FLOAT32
);
phi
::
DenseTensor
tensor
;
infer_meta_ctx
.
EmplaceBackOutput
(
phi
::
MetaTensor
(
&
tensor
));
interface
.
InferShape
(
&
infer_meta_ctx
);
EXPECT_EQ
(
tensor
.
dims
().
size
(),
2
);
EXPECT_EQ
(
tensor
.
dims
()[
0
],
5
);
EXPECT_EQ
(
tensor
.
dims
()[
1
],
6
);
}
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