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bcc5ce44
编写于
8月 15, 2023
作者:
W
WangZhen
提交者:
GitHub
8月 15, 2023
浏览文件
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电子邮件补丁
差异文件
Add more gen api (#56291)
上级
04b6035d
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
76 addition
and
23 deletion
+76
-23
paddle/fluid/ir/dialect/op_generator/api_gen.py
paddle/fluid/ir/dialect/op_generator/api_gen.py
+75
-22
paddle/fluid/ir/dialect/op_generator/op_gen.py
paddle/fluid/ir/dialect/op_generator/op_gen.py
+1
-1
未找到文件。
paddle/fluid/ir/dialect/op_generator/api_gen.py
浏览文件 @
bcc5ce44
...
...
@@ -14,6 +14,7 @@
import
argparse
import
os
import
re
import
yaml
from
op_gen
import
OpCompatParser
,
OpInfoParser
,
to_pascal_case
...
...
@@ -27,6 +28,7 @@ H_FILE_TEMPLATE = """
#include "paddle/ir/core/value.h"
#include "paddle/phi/common/data_type.h"
#include "paddle/phi/common/place.h"
#include "paddle/phi/common/scalar.h"
{body}
...
...
@@ -62,18 +64,38 @@ API_IMPL_TEMPLATE = """
{in_combine}
{compute_op}
{out_slice}
{out_combine}
{return_result}
}}
"""
COMBINE_OP_TEMPLATE
=
"""auto {op_name} = APIBuilder::Instance().GetBuilder()->Build<ir::CombineOp>({in_name});"""
COMPUTE_OP_TEMPLATE
=
"""paddle::dialect::{op_class_name} {op_inst_name} = APIBuilder::Instance().GetBuilder()->Build<paddle::dialect::{op_class_name}>({args});"""
API_LIST
=
[
'add_n'
,
'mean'
,
'sum'
,
'divide'
,
'full'
,
'tanh_grad'
,
'mean_grad'
]
COMBINE_OP_TEMPLATE
=
"""
auto {op_name} = APIBuilder::Instance().GetBuilder()->Build<ir::CombineOp>({in_name});"""
SLICE_OP_TEMPLATE
=
"""
auto {op_name} = APIBuilder::Instance().GetBuilder()->Build<ir::SliceOp>({in_name});"""
COMPUTE_OP_TEMPLATE
=
"""
paddle::dialect::{op_class_name} {op_inst_name} = APIBuilder::Instance().GetBuilder()->Build<paddle::dialect::{op_class_name}>({args});"""
API_LIST
=
[
'add_n'
,
'mean'
,
'sum'
,
'divide'
,
'full'
,
'tanh_grad'
,
'mean_grad'
,
'concat'
,
'add'
,
'multiply'
,
'elementwise_pow'
,
'scale'
,
'reshape'
,
'expand'
,
'tile'
,
'add_grad'
,
]
OP_RESULT
=
'ir::OpResult'
VECTOR_TYPE
=
'ir::VectorType'
...
...
@@ -86,6 +108,7 @@ class CodeGen:
def
__init__
(
self
)
->
None
:
self
.
_type_map
=
{
'paddle::dialect::DenseTensorType'
:
'ir::OpResult'
,
'paddle::dialect::SelectedRowsType'
:
'ir::OpResult'
,
'ir::VectorType<paddle::dialect::DenseTensorType>'
:
'std::vector<ir::OpResult>'
,
}
...
...
@@ -126,6 +149,8 @@ class CodeGen:
name_list
,
type_list
,
default_value_list
):
if
with_default
and
default_value
is
not
None
:
if
type
in
[
'float'
,
'double'
]:
default_value
=
default_value
.
strip
(
'"'
)
ret
.
append
(
'{type} {name} = {default_value}'
.
format
(
type
=
type
,
name
=
name
,
default_value
=
default_value
...
...
@@ -140,9 +165,19 @@ class CodeGen:
attrs
=
self
.
_gen_api_attrs
(
op_info
,
with_default_attr
)
return
(
inputs
+
', '
+
attrs
).
strip
(
', '
)
def
_gen_ret_type
(
self
,
op_info
):
type_list
=
op_info
.
output_type_list
assert
len
(
type_list
)
>=
1
if
len
(
type_list
)
>
1
:
return
'std::tuple<{}>'
.
format
(
', '
.
join
([
self
.
_type_map
[
type
]
for
type
in
type_list
])
)
elif
len
(
type_list
)
==
1
:
return
self
.
_type_map
[
type_list
[
0
]]
def
_gen_one_declare
(
self
,
op_info
,
op_name
):
return
API_DECLARE_TEMPLATE
.
format
(
ret_type
=
OP_RESULT
,
ret_type
=
self
.
_gen_ret_type
(
op_info
)
,
api_name
=
op_name
,
args
=
self
.
_gen_api_args
(
op_info
,
True
),
)
...
...
@@ -205,33 +240,51 @@ class CodeGen:
op_inst_name
,
)
def
_gen_out_slice
(
self
):
return
''
def
_gen_out_slice_and_ret_list
(
self
,
op_info
,
op_inst_name
):
name_list
=
op_info
.
output_name_list
type_list
=
op_info
.
output_type_list
def
_gen_out_combine
(
self
):
return
''
slice_op_str
=
''
ret_list
=
[]
for
i
,
(
name
,
type
)
in
enumerate
(
zip
(
name_list
,
type_list
)):
if
VECTOR_TYPE
in
type
:
slice_op_name
=
f
'
{
name
}
_slice_op'
slice_op_str
+=
SLICE_OP_TEMPLATE
.
format
(
op_name
=
slice_op_name
,
in_name
=
f
'
{
op_inst_name
}
.result(
{
i
}
)'
)
ret_list
.
append
(
f
'
{
slice_op_name
}
.outputs()'
)
else
:
ret_list
.
append
(
f
'
{
op_inst_name
}
.result(
{
i
}
)'
)
return
slice_op_str
,
ret_list
def
_gen_return_result
(
self
,
op_info
,
op_inst_name
):
output_name_list
=
op_info
.
output_name_list
assert
len
(
output_name_list
)
==
1
return
f
'return
{
op_inst_name
}
.result(0);'
def
_gen_return_result
(
self
,
ret_list
):
assert
len
(
ret_list
)
>=
1
if
len
(
ret_list
)
>
1
:
return
'return std::make_tuple({});'
.
format
(
', '
.
join
(
ret_list
))
else
:
return
f
'return
{
ret_list
[
0
]
}
;'
def
_gen_one_impl
(
self
,
op_info
,
op_name
):
in_combine
,
in_combine_op_list
=
self
.
_gen_in_combine
(
op_info
)
compute_op
,
op_inst_name
=
self
.
_gen_compute_op
(
op_info
,
op_name
,
in_combine_op_list
)
out_slice
,
ret_list
=
self
.
_gen_out_slice_and_ret_list
(
op_info
,
op_inst_name
)
ret
urn
API_IMPL_TEMPLATE
.
format
(
ret_type
=
OP_RESULT
,
ret
=
API_IMPL_TEMPLATE
.
format
(
ret_type
=
self
.
_gen_ret_type
(
op_info
)
,
api_name
=
op_name
,
args
=
self
.
_gen_api_args
(
op_info
,
False
),
in_combine
=
in_combine
,
compute_op
=
compute_op
,
out_slice
=
self
.
_gen_out_slice
(),
out_combine
=
self
.
_gen_out_combine
(),
return_result
=
self
.
_gen_return_result
(
op_info
,
op_inst_name
),
).
replace
(
'
\n
'
,
''
)
out_slice
=
out_slice
,
return_result
=
self
.
_gen_return_result
(
ret_list
),
)
ret
=
re
.
sub
(
r
' +\n'
,
''
,
ret
)
return
ret
def
_gen_cpp_file
(
self
,
op_info_items
,
namespaces
,
cpp_file_path
):
impl_str
=
''
...
...
paddle/fluid/ir/dialect/op_generator/op_gen.py
浏览文件 @
bcc5ce44
...
...
@@ -259,7 +259,7 @@ class OpInfoParser:
'bool'
:
[
'ir::BoolAttribute'
,
'bool'
],
'bool[]'
:
[
'ir::ArrayAttribute<ir::BoolAttribute>'
,
'const std::vec
ot
<bool>&'
,
'const std::vec
tor
<bool>&'
,
],
'str'
:
[
'ir::StrAttribute'
,
'const std::string&'
],
'str[]'
:
[
...
...
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