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体验新版 GitCode,发现更多精彩内容 >>
提交
4d0df1fe
编写于
11月 28, 2018
作者:
X
Xin Pan
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
add fields for autograd
test=develop
上级
81383916
变更
5
隐藏空白更改
内联
并排
Showing
5 changed file
with
72 addition
and
34 deletion
+72
-34
paddle/fluid/imperative/layer.h
paddle/fluid/imperative/layer.h
+12
-2
paddle/fluid/imperative/tracer.h
paddle/fluid/imperative/tracer.h
+11
-4
paddle/fluid/pybind/imperative.h
paddle/fluid/pybind/imperative.h
+5
-0
paddle/fluid/pybind/pybind.cc
paddle/fluid/pybind/pybind.cc
+3
-2
python/paddle/fluid/framework.py
python/paddle/fluid/framework.py
+41
-26
未找到文件。
paddle/fluid/imperative/layer.h
浏览文件 @
4d0df1fe
...
...
@@ -23,19 +23,29 @@
namespace
paddle
{
namespace
imperative
{
class
OpBase
;
class
VarBase
{
public:
VarBase
()
{}
virtual
~
VarBase
()
{}
OpBase
*
pre_op_
;
framework
::
VarDesc
*
var_desc_
;
};
class
OpBase
{
public:
OpBase
()
{}
virtual
~
OpBase
()
{}
OpBase
()
:
input_vars_
(
new
std
::
vector
<
VarBase
*>
()),
output_vars_
(
new
std
::
vector
<
VarBase
*>
())
{}
virtual
~
OpBase
()
{
delete
input_vars_
;
delete
output_vars_
;
}
std
::
vector
<
VarBase
*>*
input_vars_
;
std
::
vector
<
VarBase
*>*
output_vars_
;
framework
::
OpDesc
*
op_desc_
;
};
...
...
paddle/fluid/imperative/tracer.h
浏览文件 @
4d0df1fe
...
...
@@ -31,15 +31,18 @@ class Tracer {
public:
Tracer
()
{}
void
Trace
(
OpBase
*
op
,
const
std
::
map
<
std
::
string
,
VarBase
*>&
inputs
,
const
std
::
map
<
std
::
string
,
VarBase
*>&
outputs
)
{
void
Trace
(
OpBase
*
op
,
const
std
::
vector
<
VarBase
*>&
inputs
,
const
std
::
vector
<
VarBase
*>&
outputs
)
{
framework
::
OpDesc
*
op_desc
=
op
->
op_desc_
;
LOG
(
ERROR
)
<<
"tracer tracing "
<<
op_desc
->
Type
();
op_desc
->
InferShape
(
*
block_
);
op_desc
->
InferVarType
(
block_
);
std
::
unique_ptr
<
framework
::
OperatorBase
>
op_base
=
framework
::
OpRegistry
::
CreateOp
(
*
op_desc
);
for
(
const
std
::
string
&
vname
:
op_desc
->
InputArgumentNames
())
{
*
op
->
input_vars_
=
inputs
;
for
(
VarBase
*
input
:
inputs
)
{
const
std
::
string
vname
=
input
->
var_desc_
->
Name
();
framework
::
Variable
*
var
=
scope_
->
Var
(
vname
);
if
(
!
var
->
IsInitialized
())
{
framework
::
VarDesc
*
var_desc
=
block_
->
FindVar
(
vname
);
...
...
@@ -50,7 +53,10 @@ class Tracer {
}
}
}
for
(
const
std
::
string
&
vname
:
op_desc
->
OutputArgumentNames
())
{
*
op
->
output_vars_
=
outputs
;
for
(
auto
output
:
outputs
)
{
const
std
::
string
vname
=
output
->
var_desc_
->
Name
();
framework
::
Variable
*
var
=
scope_
->
Var
(
vname
);
if
(
!
var
->
IsInitialized
())
{
framework
::
VarDesc
*
var_desc
=
block_
->
FindVar
(
vname
);
...
...
@@ -60,6 +66,7 @@ class Tracer {
LOG
(
ERROR
)
<<
"tracer doesn't support yet"
;
}
}
output
->
pre_op_
=
op
;
}
op_base
->
Run
(
*
scope_
,
platform
::
CPUPlace
());
}
...
...
paddle/fluid/pybind/imperative.h
浏览文件 @
4d0df1fe
...
...
@@ -37,6 +37,11 @@ class PyLayer : public imperative::Layer {
}
};
class
PyOpBase
:
public
imperative
::
OpBase
{
public:
using
imperative
::
OpBase
::
OpBase
;
// Inherit constructors
};
void
BindTracer
(
pybind11
::
module
*
m
);
}
// namespace pybind
...
...
paddle/fluid/pybind/pybind.cc
浏览文件 @
4d0df1fe
...
...
@@ -111,8 +111,9 @@ PYBIND11_MODULE(core, m) {
},
py
::
return_value_policy
::
reference
);
py
::
class_
<
imperative
::
OpBase
>
(
m
,
"OpBase"
,
R"DOC()DOC"
)
py
::
class_
<
imperative
::
OpBase
,
PyOpBase
>
(
m
,
"OpBase"
,
R"DOC()DOC"
)
.
def
(
py
::
init
<>
())
.
def_property
(
"desc"
,
[](
const
imperative
::
OpBase
&
self
)
{
return
self
.
op_desc_
;
},
[](
imperative
::
OpBase
&
self
,
framework
::
OpDesc
*
op_desc
)
{
...
...
python/paddle/fluid/framework.py
浏览文件 @
4d0df1fe
...
...
@@ -563,6 +563,7 @@ class Operator(core.OpBase):
inputs
=
None
,
outputs
=
None
,
attrs
=
None
):
core
.
OpBase
.
__init__
(
self
)
self
.
block
=
block
self
.
desc
=
desc
# note: not add self.attrs here:
...
...
@@ -602,33 +603,32 @@ class Operator(core.OpBase):
return
True
return
False
self
.
inputs
=
[]
if
not
inputs
else
inputs
for
in_proto
in
proto
.
inputs
:
found
=
find_name
(
self
.
inputs
,
in_proto
.
name
)
assert
found
or
in_proto
.
dispensable
,
"Input {} not found"
.
format
(
in_proto
.
name
)
if
found
:
in_args
=
self
.
inputs
[
in_proto
.
name
]
if
not
isinstance
(
in_args
,
list
):
in_args
=
[
in_args
]
if
not
in_proto
.
duplicable
and
len
(
in_args
)
>
1
:
raise
ValueError
(
"Input %s expects only one input, but %d are given."
%
(
in_proto
.
name
,
len
(
in_args
)))
in_arg_names
=
[]
for
arg
in
in_args
:
if
isinstance
(
arg
,
six
.
string_types
):
in_arg_names
.
append
(
arg
)
elif
isinstance
(
arg
,
six
.
binary_type
):
in_arg_names
.
append
(
arg
.
decode
())
else
:
in_arg_names
.
append
(
cpt
.
to_text
(
arg
.
name
))
self
.
desc
.
set_input
(
in_proto
.
name
,
in_arg_names
)
else
:
self
.
desc
.
set_input
(
in_proto
.
name
,
[])
if
inputs
is
not
None
:
for
in_proto
in
proto
.
inputs
:
found
=
find_name
(
inputs
,
in_proto
.
name
)
assert
found
or
in_proto
.
dispensable
,
"Input {} not found"
.
format
(
in_proto
.
name
)
if
found
:
in_args
=
inputs
[
in_proto
.
name
]
if
not
isinstance
(
in_args
,
list
):
in_args
=
[
in_args
]
if
not
in_proto
.
duplicable
and
len
(
in_args
)
>
1
:
raise
ValueError
(
"Input %s expects only one input, but %d are given."
%
(
in_proto
.
name
,
len
(
in_args
)))
in_arg_names
=
[]
for
arg
in
in_args
:
if
isinstance
(
arg
,
six
.
string_types
):
in_arg_names
.
append
(
arg
)
elif
isinstance
(
arg
,
six
.
binary_type
):
in_arg_names
.
append
(
arg
.
decode
())
else
:
in_arg_names
.
append
(
cpt
.
to_text
(
arg
.
name
))
self
.
desc
.
set_input
(
in_proto
.
name
,
in_arg_names
)
else
:
self
.
desc
.
set_input
(
in_proto
.
name
,
[])
self
.
outputs
=
[]
if
not
outputs
else
outputs
if
outputs
is
not
None
:
given
=
set
()
need
=
set
()
...
...
@@ -657,6 +657,21 @@ class Operator(core.OpBase):
arg
.
op
=
self
self
.
desc
.
set_output
(
out_proto
.
name
,
out_arg_names
)
input_vars
=
[]
for
inp
in
inputs
.
values
():
if
isinstance
(
inp
,
Variable
):
input_vars
.
append
(
inp
)
elif
isinstance
(
inp
,
list
):
input_vars
.
extend
(
inp
[:])
self
.
inputs
=
input_vars
output_vars
=
[]
for
out
in
outputs
.
values
():
if
isinstance
(
out
,
Variable
):
output_vars
.
append
(
out
)
elif
isinstance
(
inp
,
list
):
output_vars
.
extend
(
out
[:])
self
.
outputs
=
output_vars
if
op_attrs
is
not
None
:
if
not
isinstance
(
op_attrs
,
dict
):
raise
TypeError
(
"'attrs' should be a dict."
)
...
...
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