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e2a322b6
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前往新版Gitcode,体验更适合开发者的 AI 搜索 >>
提交
e2a322b6
编写于
5月 26, 2020
作者:
R
rick_sanchez
提交者:
kpy
6月 01, 2020
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Modify code to support dynamic graph.
上级
72fd4178
变更
34
展开全部
显示空白变更内容
内联
并排
Showing
34 changed file
with
673 addition
and
72 deletion
+673
-72
mindspore/_extends/parse/__init__.py
mindspore/_extends/parse/__init__.py
+7
-6
mindspore/_extends/parse/parser.py
mindspore/_extends/parse/parser.py
+11
-0
mindspore/ccsrc/ir/manager.cc
mindspore/ccsrc/ir/manager.cc
+1
-5
mindspore/ccsrc/ir/param_value_py.h
mindspore/ccsrc/ir/param_value_py.h
+1
-1
mindspore/ccsrc/ir/primitive.cc
mindspore/ccsrc/ir/primitive.cc
+1
-1
mindspore/ccsrc/ir/tensor.cc
mindspore/ccsrc/ir/tensor.cc
+4
-0
mindspore/ccsrc/ir/tensor.h
mindspore/ccsrc/ir/tensor.h
+2
-0
mindspore/ccsrc/operator/composite/composite.cc
mindspore/ccsrc/operator/composite/composite.cc
+8
-2
mindspore/ccsrc/operator/composite/composite.h
mindspore/ccsrc/operator/composite/composite.h
+1
-1
mindspore/ccsrc/operator/composite/do_signature.cc
mindspore/ccsrc/operator/composite/do_signature.cc
+5
-0
mindspore/ccsrc/optimizer/ad/dfunctor.cc
mindspore/ccsrc/optimizer/ad/dfunctor.cc
+4
-0
mindspore/ccsrc/optimizer/ad/dfunctor.h
mindspore/ccsrc/optimizer/ad/dfunctor.h
+2
-1
mindspore/ccsrc/optimizer/ad/grad.cc
mindspore/ccsrc/optimizer/ad/grad.cc
+10
-4
mindspore/ccsrc/optimizer/ad/grad.h
mindspore/ccsrc/optimizer/ad/grad.h
+2
-1
mindspore/ccsrc/optimizer/irpass/inline.h
mindspore/ccsrc/optimizer/irpass/inline.h
+2
-1
mindspore/ccsrc/pipeline/action.cc
mindspore/ccsrc/pipeline/action.cc
+2
-0
mindspore/ccsrc/pipeline/action.h
mindspore/ccsrc/pipeline/action.h
+1
-0
mindspore/ccsrc/pipeline/parse/data_converter.cc
mindspore/ccsrc/pipeline/parse/data_converter.cc
+4
-0
mindspore/ccsrc/pipeline/parse/parse_base.h
mindspore/ccsrc/pipeline/parse/parse_base.h
+2
-0
mindspore/ccsrc/pipeline/pass.cc
mindspore/ccsrc/pipeline/pass.cc
+2
-0
mindspore/ccsrc/pipeline/pass.h
mindspore/ccsrc/pipeline/pass.h
+1
-0
mindspore/ccsrc/pipeline/pipeline.cc
mindspore/ccsrc/pipeline/pipeline.cc
+7
-2
mindspore/ccsrc/pipeline/pipeline.h
mindspore/ccsrc/pipeline/pipeline.h
+2
-0
mindspore/ccsrc/pynative/pynative_execute.cc
mindspore/ccsrc/pynative/pynative_execute.cc
+430
-15
mindspore/ccsrc/pynative/pynative_execute.h
mindspore/ccsrc/pynative/pynative_execute.h
+70
-0
mindspore/common/api.py
mindspore/common/api.py
+30
-1
mindspore/common/tensor.py
mindspore/common/tensor.py
+0
-7
mindspore/nn/cell.py
mindspore/nn/cell.py
+29
-4
mindspore/nn/wrap/cell_wrapper.py
mindspore/nn/wrap/cell_wrapper.py
+1
-0
mindspore/ops/composite/base.py
mindspore/ops/composite/base.py
+26
-4
mindspore/ops/operations/debug_ops.py
mindspore/ops/operations/debug_ops.py
+0
-6
mindspore/ops/primitive.py
mindspore/ops/primitive.py
+2
-8
tests/ut/python/pynative_mode/nn/test_dropout.py
tests/ut/python/pynative_mode/nn/test_dropout.py
+1
-1
tests/vm_impl/array_ops_vm_impl.py
tests/vm_impl/array_ops_vm_impl.py
+2
-1
未找到文件。
mindspore/_extends/parse/__init__.py
浏览文件 @
e2a322b6
...
...
@@ -19,14 +19,15 @@ Interfaces for parser module in c++.
from
.parser
import
(
Parser
,
create_obj_instance
,
generate_scope
,
get_bprop_method_of_class
,
get_class_instance_type
,
get_class_member_namespace_symbol
,
create_slice_obj
,
get_dataclass_attributes
,
get_dataclass_methods
,
get_dataclass_attributes
,
get_dataclass_methods
,
get_obj_id
,
get_module_namespace
,
get_obj_type
,
get_object_key
,
get_parse_method_of_class
,
get_scope_name
,
get_
default_input
,
get_
parse_method_of_class
,
get_scope_name
,
is_class_member
,
parse_cb
,
resolve_symbol
,
create_ellipsis_obj
)
from
.serialize
import
*
__all__
=
[
'parse_cb'
,
'get_parse_method_of_class'
,
'get_bprop_method_of_class'
,
'resolve_symbol'
,
'get_object_key'
,
'get_class_instance_type'
,
'is_class_member'
,
'get_obj_type'
,
'create_obj_instance'
,
'get_module_namespace'
,
'get_class_member_namespace_symbol'
,
'Parser'
,
'get_dataclass_attributes'
,
'get_dataclass_methods'
,
'dump_obj'
,
'load_obj'
,
'get_dataclass_methods'
,
'get_scope_name'
,
'create_slice_obj'
,
'create_ellipsis_obj'
]
'get_object_key'
,
'get_default_input'
,
'get_class_instance_type'
,
'is_class_member'
,
'get_obj_type'
,
'get_obj_id'
,
'create_obj_instance'
,
'get_module_namespace'
,
'get_class_member_namespace_symbol'
,
'get_obj_id'
,
'Parser'
,
'get_dataclass_attributes'
,
'get_dataclass_methods'
,
'dump_obj'
,
'load_obj'
,
'get_dataclass_methods'
,
'get_scope_name'
,
'create_slice_obj'
,
'create_ellipsis_obj'
]
mindspore/_extends/parse/parser.py
浏览文件 @
e2a322b6
...
...
@@ -209,6 +209,14 @@ def get_object_key(obj):
obj_id
=
instance_id
+
obj_id
return
obj_id
,
obj_key
def
get_default_input
(
obj
):
if
hasattr
(
obj
,
'__parameter__'
):
return
obj
.
default_input
if
isinstance
(
obj
,
tuple
):
convert
=
lambda
x
:
x
.
default_input
if
hasattr
(
x
,
'__parameter__'
)
else
x
args
=
tuple
(
convert
(
x
)
for
x
in
obj
)
return
args
return
obj
def
is_class_member
(
node
):
"""Check the attr is class member variable."""
...
...
@@ -221,6 +229,9 @@ def is_class_member(node):
return
True
return
False
def
get_obj_id
(
obj
):
"""Get the obj id."""
return
str
(
id
(
obj
))
def
get_obj_type
(
obj
):
"""Get the obj type."""
...
...
mindspore/ccsrc/ir/manager.cc
浏览文件 @
e2a322b6
...
...
@@ -328,9 +328,6 @@ void FuncGraphManager::ProcessEdge(AnfNodePtr node, int index, AnfNodePtr inp, E
DropEdge
(
node
,
index
,
inp
);
}
else
{
MS_LOG
(
DEBUG
)
<<
"Add node "
<<
node
->
ToString
()
<<
" input["
<<
index
<<
"] "
<<
inp
->
ToString
();
if
(
inp
->
func_graph
()
!=
nullptr
)
{
AddFuncGraph
(
inp
->
func_graph
());
}
if
(
IsValueNode
<
FuncGraph
>
(
inp
))
{
MS_LOG
(
DEBUG
)
<<
"Input["
<<
index
<<
"] is const graph "
<<
inp
->
ToString
();
AddFuncGraph
(
GetValueNode
<
FuncGraphPtr
>
(
inp
));
...
...
@@ -372,9 +369,8 @@ void FuncGraphManager::AcquireNodes(const std::vector<AnfNodePtr> &nodes) {
for
(
auto
&
node
:
acq
)
{
MS_EXCEPTION_IF_NULL
(
node
);
FuncGraphPtr
fg
=
node
->
func_graph
();
auto
fg
=
node
->
func_graph
();
if
(
fg
!=
nullptr
)
{
AddFuncGraph
(
fg
);
fg
->
AddNode
(
node
);
}
ProcessInputs
(
node
,
kIncEdge
);
...
...
mindspore/ccsrc/ir/param_value_py.h
浏览文件 @
e2a322b6
...
...
@@ -28,7 +28,7 @@ namespace py = pybind11;
class
ParamValuePy
:
public
ParamValue
{
public:
ParamValuePy
()
:
value_
(
py
::
none
())
{}
explicit
ParamValuePy
(
py
::
object
value
)
:
value_
(
value
)
{}
explicit
ParamValuePy
(
const
py
::
object
&
value
)
:
value_
(
value
)
{}
~
ParamValuePy
()
override
=
default
;
py
::
object
value
()
{
return
value_
;
}
...
...
mindspore/ccsrc/ir/primitive.cc
浏览文件 @
e2a322b6
...
...
@@ -75,7 +75,7 @@ py::function PrimitivePy::GetComputeFunction() {
py
::
function
vm_fn
=
get_fn
(
python_obj_
);
if
(
py
::
isinstance
<
py
::
none
>
(
vm_fn
))
{
MS_LOG
(
DEBU
G
)
<<
"Cannot find "
<<
python_obj_
.
attr
(
"__class__"
).
attr
(
"__name__"
).
cast
<
std
::
string
>
();
MS_LOG
(
WARNIN
G
)
<<
"Cannot find "
<<
python_obj_
.
attr
(
"__class__"
).
attr
(
"__name__"
).
cast
<
std
::
string
>
();
vm_fn
=
mindspore
::
GetComputeFunction
(
Primitive
::
name
());
}
return
vm_fn
;
...
...
mindspore/ccsrc/ir/tensor.cc
浏览文件 @
e2a322b6
...
...
@@ -81,6 +81,7 @@ Tensor::Tensor(const Tensor &tensor, const TypePtr &data_type)
:
MetaTensor
(
tensor
),
device_address_
(
tensor
.
device_address_
)
{
init
(
tensor
.
data_
,
data_type
);
dirty_
=
tensor
.
is_dirty
();
id_
=
tensor
.
id
();
}
Tensor
&
Tensor
::
operator
=
(
const
Tensor
&
tensor
)
{
...
...
@@ -89,6 +90,7 @@ Tensor &Tensor::operator=(const Tensor &tensor) {
dirty_
=
tensor
.
is_dirty
();
device_address_
=
tensor
.
device_address
();
data_
=
tensor
.
data_
;
id_
=
tensor
.
id
();
}
return
*
this
;
}
...
...
@@ -208,6 +210,7 @@ void Tensor::init(const py::array &input, const TypeId &data_type) {
data_
=
input
;
}
dirty_
=
true
;
id_
=
std
::
to_string
((
uintptr_t
)(
this
));
}
void
Tensor
::
init
(
TypeId
data_type
,
const
std
::
vector
<
int
>
&
shape
,
py
::
array
*
const
data
)
{
...
...
@@ -254,6 +257,7 @@ void Tensor::init(TypeId data_type, const std::vector<int> &shape, py::array *co
MS_LOG
(
EXCEPTION
)
<<
"Cannot construct Tensor because of unsupported data type: "
<<
data_type
<<
"."
;
break
;
}
id_
=
std
::
to_string
((
uintptr_t
)(
this
));
}
TypePtr
Tensor
::
SetDtype
(
const
TypePtr
type_ptr
)
{
...
...
mindspore/ccsrc/ir/tensor.h
浏览文件 @
e2a322b6
...
...
@@ -263,9 +263,11 @@ class Tensor : public MetaTensor {
DeviceAddressPtr
device_address
()
const
{
return
device_address_
;
}
void
set_device_address
(
const
DeviceAddressPtr
&
device_address
)
{
device_address_
=
device_address
;
}
py
::
array
data_sync
();
std
::
string
id
()
const
{
return
id_
;
}
private:
bool
dirty_
{
true
};
std
::
string
id_
{
""
};
DeviceAddressPtr
device_address_
{
nullptr
};
};
...
...
mindspore/ccsrc/operator/composite/composite.cc
浏览文件 @
e2a322b6
...
...
@@ -501,10 +501,16 @@ GradOperation::GradOperation(const std::string &name, bool get_all, bool get_by_
}
FuncGraphPtr
GradOperation
::
GetGrad
(
AnfNodePtr
node
,
const
AnfNodePtr
&
weights
,
const
std
::
vector
<
AnfNodePtr
>
&
params_list
,
bool
applyJ
)
{
const
std
::
vector
<
AnfNodePtr
>
&
params_list
,
const
std
::
vector
<
AnfNodePtr
>
&
args
,
bool
applyJ
)
{
FuncGraphPtr
ret
=
std
::
make_shared
<
FuncGraph
>
();
ret
->
set_flags
(
FUNC_GRAPH_FLAG_CORE
,
true
);
auto
weights_node
=
weights
;
if
(
weights
==
nullptr
&&
!
args
.
empty
())
{
weights_node
=
ret
->
NewCNode
(
args
);
}
ValueNodePtr
opsJ
=
NewValueNode
(
prim
::
kPrimJ
);
ValueNodePtr
opsTupleItem
=
NewValueNode
(
prim
::
kPrimTupleGetItem
);
...
...
@@ -537,7 +543,7 @@ FuncGraphPtr GradOperation::GetGrad(AnfNodePtr node, const AnfNodePtr &weights,
inputs
.
push_back
(
NewValueNode
(
1
));
AnfNodePtr
ptrBprop
=
ret
->
NewCNode
(
inputs
);
doGetGrad
(
ret
,
out
,
ptrBprop
,
weights
,
opsTupleItem
);
doGetGrad
(
ret
,
out
,
ptrBprop
,
weights
_node
,
opsTupleItem
);
return
ret
;
}
...
...
mindspore/ccsrc/operator/composite/composite.h
浏览文件 @
e2a322b6
...
...
@@ -129,7 +129,7 @@ class GradOperation : public MetaFuncGraph {
MS_DECLARE_PARENT
(
GradOperation
,
MetaFuncGraph
)
FuncGraphPtr
GetGrad
(
AnfNodePtr
ptrNode
,
const
AnfNodePtr
&
weights
,
const
std
::
vector
<
AnfNodePtr
>
&
ptrParams
,
bool
applyJ
=
false
);
const
std
::
vector
<
AnfNodePtr
>
&
args
=
{},
bool
applyJ
=
false
);
FuncGraphPtr
GenerateFuncGraph
(
const
AbstractBasePtrList
&
args_spec_list
)
override
;
bool
sens_param
()
const
{
return
sens_param_
;
}
bool
get_all_
;
...
...
mindspore/ccsrc/operator/composite/do_signature.cc
浏览文件 @
e2a322b6
...
...
@@ -285,6 +285,10 @@ AnfNodePtr BuildNewCNode(const FuncGraphPtr &func_graph, const std::string &func
// and add cast op on other inputs to keep the same type with assigned parameter.
for
(
size_t
i
=
0
;
i
<
args_spec_list
.
size
();
++
i
)
{
AnfNodePtr
param
=
params_list
[
i
];
if
(
args_spec_list
[
i
]
==
nullptr
)
{
op_inputs
.
push_back
(
param
);
continue
;
}
SignatureEnumRW
sig
=
SignatureEnumRW
::
kRWDefault
;
// If sig_size is 0 use defalut.
if
(
sig_size
>
0
&&
i
<
sig_size
)
{
...
...
@@ -292,6 +296,7 @@ AnfNodePtr BuildNewCNode(const FuncGraphPtr &func_graph, const std::string &func
}
else
if
(
has_var
&&
i
>=
sig_size
)
{
sig
=
signature
[
sig_size
-
1
].
rw
;
}
TypePtr
type
=
args_spec_list
[
i
]
->
GetTypeTrack
();
if
(
type
&&
type
->
type_id
()
==
kObjectTypeRef
)
{
if
(
sig
==
SignatureEnumRW
::
kRWRead
)
{
...
...
mindspore/ccsrc/optimizer/ad/dfunctor.cc
浏览文件 @
e2a322b6
...
...
@@ -551,6 +551,10 @@ AdjointPtr DFunctor::FindAdjoint(const AnfNodePtr &primal) {
}
void
DFunctor
::
CallDoutHoleOnTape
()
{
if
(
!
is_top_
)
{
return
;
}
// Call dout hole of all adjoint.
for
(
auto
&
f
:
func_graph_to_functor_
)
{
for
(
auto
&
adjoint
:
f
.
second
->
anfnode_to_adjoin_
)
{
...
...
mindspore/ccsrc/optimizer/ad/dfunctor.h
浏览文件 @
e2a322b6
...
...
@@ -55,6 +55,8 @@ class DFunctor {
FuncGraphPtr
KUserDefined
(
const
FuncGraphPtr
&
primal
);
// Register functor objects to form a global view.
void
Init
(
const
DFunctorPtr
&
functor
,
bool
is_top
=
false
);
bool
IsInScope
(
const
AnfNodePtr
&
node
);
// Clear resources.
static
void
Clear
();
...
...
@@ -62,7 +64,6 @@ class DFunctor {
// Map one morphism.
AdjointPtr
MapMorphism
(
const
AnfNodePtr
&
morph
);
bool
IsFreeMorphism
(
const
AnfNodePtr
&
node
);
bool
IsInScope
(
const
AnfNodePtr
&
node
);
// Map morphism that's not attached to output.
void
MapFreeMorphism
();
void
BackPropagateFv
(
const
AnfNodePtr
&
fv
,
const
AnfNodePtr
&
din
);
...
...
mindspore/ccsrc/optimizer/ad/grad.cc
浏览文件 @
e2a322b6
...
...
@@ -23,7 +23,7 @@
namespace
mindspore
{
namespace
ad
{
FuncGraphPtr
Grad
(
const
FuncGraphPtr
&
func_graph
,
const
pipeline
::
ResourceBasePtr
&
resources
)
{
FuncGraphPtr
Grad
(
const
FuncGraphPtr
&
func_graph
,
const
pipeline
::
ResourceBasePtr
&
resources
,
bool
is_top
)
{
MS_EXCEPTION_IF_NULL
(
func_graph
);
auto
gradkv
=
func_graph
->
transforms
().
find
(
"grad"
);
if
(
gradkv
!=
func_graph
->
transforms
().
end
())
{
...
...
@@ -46,14 +46,18 @@ FuncGraphPtr Grad(const FuncGraphPtr &func_graph, const pipeline::ResourceBasePt
auto
user_defined
=
f
->
KUserDefined
(
func_graph
);
if
(
user_defined
!=
nullptr
)
{
multi_graph_sink
(
user_defined
);
if
(
is_top
)
{
DFunctor
::
Clear
();
}
return
user_defined
;
}
f
->
Init
(
f
,
true
);
f
->
Init
(
f
,
is_top
);
f
->
MapObject
();
f
->
MapMorphism
();
auto
ret
=
f
->
k_graph
();
if
(
is_top
)
{
DFunctor
::
Clear
();
}
multi_graph_sink
(
ret
);
return
ret
;
...
...
@@ -71,5 +75,7 @@ MetaFuncGraphPtr Kmeta(const PrimitivePtr &prim, const pipeline::ResourceBasePtr
MetaFuncGraphPtr
fg
=
g_k_prims
.
KMetaFuncGraph
(
prim
);
return
fg
;
}
void
CleanRes
()
{
DFunctor
::
Clear
();
}
}
// namespace ad
}
// namespace mindspore
mindspore/ccsrc/optimizer/ad/grad.h
浏览文件 @
e2a322b6
...
...
@@ -28,9 +28,10 @@ namespace mindspore {
namespace
ad
{
using
ResourcePtr
=
std
::
shared_ptr
<
pipeline
::
Resource
>
;
FuncGraphPtr
Grad
(
const
FuncGraphPtr
&
func_graph
,
const
pipeline
::
ResourceBasePtr
&
resources
);
FuncGraphPtr
Grad
(
const
FuncGraphPtr
&
func_graph
,
const
pipeline
::
ResourceBasePtr
&
resources
,
bool
is_top
=
true
);
FuncGraphPtr
Kprim
(
const
ValueNodePtr
&
value_node
,
const
pipeline
::
ResourceBasePtr
&
resources
);
MetaFuncGraphPtr
Kmeta
(
const
PrimitivePtr
&
prim
,
const
pipeline
::
ResourceBasePtr
&
);
void
CleanRes
();
}
// namespace ad
}
// namespace mindspore
...
...
mindspore/ccsrc/optimizer/irpass/inline.h
浏览文件 @
e2a322b6
...
...
@@ -167,7 +167,8 @@ class InlinerBase : public AnfVisitor {
auto
params
=
fg
->
parameters
();
auto
old_size
=
params
.
size
();
if
(
old_size
!=
new_params
.
size
())
{
MS_LOG
(
EXCEPTION
)
<<
"Parameter size not match."
;
MS_LOG
(
EXCEPTION
)
<<
"Parameter size not match."
<<
old_size
<<
" new "
<<
new_params
.
size
()
<<
fg
->
output
()
->
DebugString
(
10
);
}
for
(
size_t
i
=
0
;
i
<
old_size
;
i
++
)
{
(
void
)
mng
->
Replace
(
params
[
i
],
new_params
[
i
]);
...
...
mindspore/ccsrc/pipeline/action.cc
浏览文件 @
e2a322b6
...
...
@@ -276,6 +276,8 @@ bool GeOptimizeAction(const ResourcePtr &res) { return OptimizeAction(res, kGePa
bool
VmOptimizeAction
(
const
ResourcePtr
&
res
)
{
return
OptimizeAction
(
res
,
kVmPasses
);
}
bool
PynativeOptimizeAction
(
const
ResourcePtr
&
res
)
{
return
OptimizeAction
(
res
,
kPynativePasses
);
}
static
bool
IsCtrlSink
()
{
auto
ms_ctx
=
MsContext
::
GetInstance
();
std
::
string
device_target
=
ms_ctx
->
device_target
();
...
...
mindspore/ccsrc/pipeline/action.h
浏览文件 @
e2a322b6
...
...
@@ -35,6 +35,7 @@ bool SymbolResolveAction(const ResourcePtr &res);
bool
AbstractSpecializeAction
(
const
ResourcePtr
&
res
);
bool
GeOptimizeAction
(
const
ResourcePtr
&
res
);
bool
VmOptimizeAction
(
const
ResourcePtr
&
res
);
bool
PynativeOptimizeAction
(
const
ResourcePtr
&
res
);
bool
TaskEmitAction
(
const
ResourcePtr
&
res
);
bool
ExecuteAction
(
const
ResourcePtr
&
res
);
...
...
mindspore/ccsrc/pipeline/parse/data_converter.cc
浏览文件 @
e2a322b6
...
...
@@ -32,6 +32,7 @@
#include "utils/symbolic.h"
#include "utils/context/ms_context.h"
#include "debug/trace.h"
#include "optimizer/ad/grad.h"
namespace
mindspore
{
namespace
parse
{
...
...
@@ -338,6 +339,9 @@ bool ConvertData(const py::object &obj, ValuePtr *const data, bool use_signature
}
else
if
(
py
::
hasattr
(
obj
,
PYTHON_ENVINSTANCE_FLAG
))
{
std
::
shared_ptr
<
EnvInstance
>
env
=
obj
.
cast
<
std
::
shared_ptr
<
EnvInstance
>>
();
converted
=
env
;
}
else
if
(
py
::
hasattr
(
obj
,
"__parameter__"
))
{
auto
to_convert
=
py
::
cast
<
py
::
object
>
(
python_adapter
::
GetPyObjAttr
(
obj
,
"default_input"
));
ret
=
ConvertData
(
to_convert
,
&
converted
);
}
else
{
ret
=
ConvertOtherObj
(
obj
,
&
converted
);
}
...
...
mindspore/ccsrc/pipeline/parse/parse_base.h
浏览文件 @
e2a322b6
...
...
@@ -60,6 +60,7 @@ const char PYTHON_MOD_RESOLVE_FUNCTION[] = "resolve_symbol";
const
char
PYTHON_MOD_RESOLVE_GET_OBJ_KEY
[]
=
"get_object_key"
;
const
char
PYTHON_MOD_PARSE_CHECK_IS_CLASS_MEMBER
[]
=
"is_class_member"
;
const
char
PYTHON_MOD_RESOLVE_GET_OBJ_TYPE
[]
=
"get_obj_type"
;
const
char
PYTHON_MOD_GET_OBJ_ID
[]
=
"get_obj_id"
;
const
char
PYTHON_MOD_GET_CLASS_INSTANCE_TYPE
[]
=
"get_class_instance_type"
;
const
char
PYTHON_MOD_CREATE_OBJ_INSTANCE
[]
=
"create_obj_instance"
;
const
char
PYTHON_MOD_GET_DATACLASS_ATTRS
[]
=
"get_dataclass_attributes"
;
...
...
@@ -83,6 +84,7 @@ const char PYTHON_PARSE_GET_SCOPE_NAME[] = "get_scope_name";
const
char
PYTHON_PARSE_CLASS_SLICE
[]
=
"create_slice_obj"
;
const
char
PYTHON_PARSE_CLASS_ELLIPSIS
[]
=
"create_ellipsis_obj"
;
const
char
PYTHON_MOD_GET_DEFAULT_INPUT
[]
=
"get_default_input"
;
// define the common name
const
char
NAMED_PRIMITIVE_ITER
[]
=
"iter"
;
...
...
mindspore/ccsrc/pipeline/pass.cc
浏览文件 @
e2a322b6
...
...
@@ -278,5 +278,7 @@ std::vector<PassItem> kGePasses = {{"simplify_data_structures", SimplifyDataStru
{
"opt_control"
,
ControlGroup
},
{
"opt_prepare"
,
PrepareGroup
},
{
"cconv"
,
CconvPass
}};
std
::
vector
<
PassItem
>
kPynativePasses
=
{{
"opt_a"
,
OptPassAGroup
},
{
"opt_b"
,
OptPassBGroup
},
{
"cconv"
,
CconvPass
}};
}
// namespace pipeline
}
// namespace mindspore
mindspore/ccsrc/pipeline/pass.h
浏览文件 @
e2a322b6
...
...
@@ -29,6 +29,7 @@ using PassItem = std::pair<std::string, std::function<bool(ResourcePtr)>>;
extern
std
::
vector
<
PassItem
>
kGePasses
;
extern
std
::
vector
<
PassItem
>
kVmPasses
;
extern
std
::
vector
<
PassItem
>
kPynativePasses
;
bool
CconvPass
(
const
ResourcePtr
&
res
);
bool
ValidatePass
(
const
ResourcePtr
&
res
);
...
...
mindspore/ccsrc/pipeline/pipeline.cc
浏览文件 @
e2a322b6
...
...
@@ -608,7 +608,7 @@ void Pipeline::Run() {
MS_LOG
(
INFO
)
<<
"End"
;
}
void
ExecutorPy
::
ProcessVmArg
(
const
py
::
tuple
&
args
,
const
std
::
string
&
phase
,
VectorRef
*
arg_list
)
{
void
ProcessVmArgInner
(
const
py
::
tuple
&
args
,
const
ResourcePtr
&
res
,
VectorRef
*
arg_list
)
{
std
::
size_t
size
=
args
.
size
();
for
(
std
::
size_t
i
=
0
;
i
<
size
;
i
++
)
{
...
...
@@ -625,7 +625,6 @@ void ExecutorPy::ProcessVmArg(const py::tuple &args, const std::string &phase, V
arg_list
->
push_back
(
converted
);
}
ResourcePtr
res
=
GetResource
(
phase
);
MS_EXCEPTION_IF_NULL
(
res
);
auto
graph
=
res
->
func_graph
();
MS_EXCEPTION_IF_NULL
(
graph
);
...
...
@@ -647,6 +646,10 @@ void ExecutorPy::ProcessVmArg(const py::tuple &args, const std::string &phase, V
}
}
void
ExecutorPy
::
ProcessVmArg
(
const
py
::
tuple
&
args
,
const
std
::
string
&
phase
,
VectorRef
*
arg_list
)
{
ProcessVmArgInner
(
args
,
GetResource
(
phase
),
arg_list
);
}
py
::
object
ExecutorPy
::
Run
(
const
py
::
tuple
&
args
,
const
py
::
object
&
phase
)
{
std
::
size_t
size
=
args
.
size
();
if
(
!
py
::
isinstance
<
py
::
str
>
(
phase
))
{
...
...
@@ -874,6 +877,8 @@ void ClearResAtexit() {
compile
::
ClearConvertCache
();
pipeline
::
GetMethodMap
().
clear
();
pipeline
::
ExecutorPy
::
ClearRes
();
pipeline
::
ReclaimOptimizer
();
pynative
::
PynativeExecutor
::
GetInstance
()
->
Clean
();
#ifdef ENABLE_GE
transform
::
DfGraphManager
::
GetInstance
().
ClearGraph
();
transform
::
DfGraphConvertor
::
get_adpt_map
().
clear
();
...
...
mindspore/ccsrc/pipeline/pipeline.h
浏览文件 @
e2a322b6
...
...
@@ -139,6 +139,8 @@ bool InitExecDatasetVm(const std::string &queue_name, int64_t size, int64_t batc
const
std
::
vector
<
TypePtr
>
&
types
,
const
std
::
vector
<
std
::
vector
<
int64_t
>>
&
shapes
,
const
std
::
vector
<
int64_t
>
&
input_indexes
,
bool
need_run
);
void
ProcessVmArgInner
(
const
py
::
tuple
&
args
,
const
ResourcePtr
&
res
,
VectorRef
*
arg_list
);
}
// namespace pipeline
}
// namespace mindspore
...
...
mindspore/ccsrc/pynative/pynative_execute.cc
浏览文件 @
e2a322b6
此差异已折叠。
点击以展开。
mindspore/ccsrc/pynative/pynative_execute.h
浏览文件 @
e2a322b6
...
...
@@ -22,23 +22,93 @@
#include <string>
#include <memory>
#include <unordered_map>
#include <mutex>
#include <stack>
#include "pybind11/pybind11.h"
#include "pynative/base.h"
#include "utils/context/ms_context.h"
#include "ir/anf.h"
#include "pipeline/resource.h"
#include "operator/composite/composite.h"
namespace
mindspore
{
namespace
pynative
{
namespace
py
=
pybind11
;
using
ResourcePtr
=
std
::
shared_ptr
<
pipeline
::
Resource
>
;
using
GradOperationPtr
=
std
::
shared_ptr
<
prim
::
GradOperation
>
;
py
::
object
RunOpInVM
(
const
OpExecInfoPtr
&
op_exec_info
,
PynativeStatusCode
*
status
);
py
::
tuple
RunOp
(
const
py
::
args
&
args
);
py
::
list
ConvertInputs
(
const
PrimitivePyPtr
&
prim
,
const
py
::
list
&
py_args
);
void
ClearPyNativeSession
();
struct
GraphInfo
{
std
::
unordered_map
<
std
::
string
,
AnfNodePtr
>
param_map
;
std
::
unordered_map
<
std
::
string
,
std
::
pair
<
AnfNodePtr
,
int
>>
obj_node_map
;
AnfNodePtr
output
;
std
::
vector
<
std
::
string
>
objects
;
};
class
PynativeExecutor
:
public
std
::
enable_shared_from_this
<
PynativeExecutor
>
{
public:
static
std
::
shared_ptr
<
PynativeExecutor
>
GetInstance
()
{
std
::
lock_guard
<
std
::
mutex
>
i_lock
(
instance_lock_
);
if
(
executor_
==
nullptr
)
{
executor_
=
std
::
shared_ptr
<
PynativeExecutor
>
(
new
(
std
::
nothrow
)
PynativeExecutor
());
resource_
=
std
::
make_shared
<
pipeline
::
Resource
>
();
}
return
executor_
;
}
void
NewGraph
(
const
py
::
object
&
cell
,
const
py
::
args
&
args
);
void
EndGraph
(
const
py
::
object
&
cell
,
const
py
::
object
&
out
,
const
py
::
args
&
args
);
void
GradNet
(
const
GradOperationPtr
&
grad
,
const
py
::
object
&
cell
,
const
py
::
object
&
weights
,
const
py
::
args
&
args
);
void
Clear
();
void
Clean
();
bool
grad_flag
()
{
return
grad_flag_
;
}
void
set_grad_flag
(
bool
flag
)
{
grad_flag_
=
flag
;
}
AnfNodePtr
GetInput
(
const
py
::
object
&
obj
,
const
py
::
object
&
op_mask
);
AnfNodePtr
GetObjNode
(
const
py
::
object
&
obj
);
FuncGraphPtr
curr_g
()
{
return
curr_g_
;
}
void
set_pyobj
(
FuncGraphPtr
g
,
const
std
::
string
obj
)
{
graph_info_map_
[
g
].
objects
.
push_back
(
obj
);
}
void
set_obj_node_map
(
FuncGraphPtr
g
,
const
std
::
string
obj
,
AnfNodePtr
node
)
{
graph_info_map_
[
g
].
obj_node_map
[
obj
]
=
std
::
make_pair
(
node
,
-
1
);
}
void
set_obj_node_map
(
FuncGraphPtr
g
,
const
std
::
string
obj
,
AnfNodePtr
node
,
int
index
)
{
graph_info_map_
[
g
].
obj_node_map
[
obj
]
=
std
::
make_pair
(
node
,
index
);
}
AnfNodePtr
MakeCNode
(
const
py
::
args
&
args
,
const
py
::
tuple
&
out
);
py
::
object
Run
(
const
py
::
tuple
&
args
,
const
py
::
object
&
phase
);
void
Pushp
();
void
Popp
();
FuncGraphPtr
GradGraph
(
FuncGraphPtr
g
,
const
GradOperationPtr
&
grad_op
,
const
std
::
vector
<
AnfNodePtr
>
&
weights
,
size_t
arg_size
);
~
PynativeExecutor
();
private:
PynativeExecutor
();
static
std
::
shared_ptr
<
PynativeExecutor
>
executor_
;
static
std
::
mutex
instance_lock_
;
static
ResourcePtr
resource_
;
bool
grad_flag_
;
std
::
unordered_map
<
std
::
string
,
FuncGraphPtr
>
graph_map_
;
std
::
unordered_map
<
std
::
string
,
FuncGraphPtr
>
cell_graph_map_
;
std
::
unordered_map
<
FuncGraphPtr
,
GraphInfo
>
graph_info_map_
;
std
::
stack
<
FuncGraphPtr
>
graph_p_
;
FuncGraphPtr
top_g_
;
FuncGraphPtr
df_builder_
;
FuncGraphPtr
curr_g_
;
};
using
PynativeExecutorPtr
=
std
::
shared_ptr
<
PynativeExecutor
>
;
}
// namespace pynative
}
// namespace mindspore
...
...
mindspore/common/api.py
浏览文件 @
e2a322b6
...
...
@@ -20,7 +20,7 @@ from collections import OrderedDict
from
functools
import
wraps
from
mindspore
import
context
from
mindspore
import
log
as
logger
from
.._c_expression
import
generate_key
,
Executor_
,
Tensor
,
MetaTensor
from
.._c_expression
import
generate_key
,
Executor_
,
Tensor
,
MetaTensor
,
PynativeExecutor_
from
.._c_expression
import
verify_inputs_signature
,
init_exec_dataset
,
_set_dataset_mode_config
,
init_backend
from
.tensor
import
Tensor
as
MsTensor
...
...
@@ -273,6 +273,34 @@ def _generate_pip_args(obj, *args, method="construct"):
obj
.
__parse_method__
=
parse_method
return
args_names
,
args_list
class
_PynativeExecutor
:
"""
An pynative executor used to compile/manage/run graph.
Returns:
Graph, return the result of pipeline running.
"""
def
__init__
(
self
):
self
.
_executor
=
PynativeExecutor_
.
get_instance
()
def
new_graph
(
self
,
obj
,
*
args
):
self
.
_executor
.
new_graph
(
obj
,
*
args
)
def
end_graph
(
self
,
obj
,
output
,
*
args
):
self
.
_executor
.
end_graph
(
obj
,
output
,
*
args
)
def
grad
(
self
,
grad
,
obj
,
weights
,
*
args
):
self
.
_executor
.
grad_net
(
grad
,
obj
,
weights
,
*
args
)
def
clear
(
self
):
self
.
_executor
.
clear
()
def
set_grad_flag
(
self
,
flag
):
self
.
_executor
.
set_grad_flag
(
flag
)
def
__call__
(
self
,
*
args
):
return
self
.
_executor
(
args
,
""
)
class
_Executor
:
"""
...
...
@@ -500,5 +528,6 @@ class _Executor:
_executor
=
_Executor
()
_pynative_exec
=
_PynativeExecutor
()
__all__
=
[
'ms_function'
]
mindspore/common/tensor.py
浏览文件 @
e2a322b6
...
...
@@ -89,7 +89,6 @@ class Tensor(Tensor_):
return
hash
(
id
(
self
))
def
__mul__
(
self
,
other
):
check_type
(
'tensor input_data'
,
other
,
(
Tensor
,
float
,
int
))
out
=
tensor_operator_registry
.
get
(
'__mul__'
)(
self
,
other
)
return
out
...
...
@@ -101,7 +100,6 @@ class Tensor(Tensor_):
return
out
def
__radd__
(
self
,
other
):
check_type
(
'tensor operation input'
,
other
,
(
Tensor
,
float
,
int
))
out
=
tensor_operator_registry
.
get
(
'__add__'
)(
other
,
self
)
return
out
...
...
@@ -110,22 +108,18 @@ class Tensor(Tensor_):
return
out
def
__rmul__
(
self
,
other
):
check_type
(
'tensor operation input'
,
other
,
(
Tensor
,
float
,
int
))
out
=
tensor_operator_registry
.
get
(
'__mul__'
)(
other
,
self
)
return
out
def
__truediv__
(
self
,
other
):
check_type
(
'tensor operation input'
,
other
,
(
Tensor
,
float
,
int
))
out
=
tensor_operator_registry
.
get
(
'__div__'
)(
self
,
other
)
return
out
def
__rtruediv__
(
self
,
other
):
check_type
(
'tensor operation input'
,
other
,
(
Tensor
,
float
,
int
))
out
=
tensor_operator_registry
.
get
(
'__div__'
)(
other
,
self
)
return
out
def
__sub__
(
self
,
other
):
check_type
(
'tensor operation input'
,
other
,
(
Tensor
,
float
,
int
))
out
=
self
.
__add__
(
-
other
)
return
out
...
...
@@ -134,7 +128,6 @@ class Tensor(Tensor_):
return
out
def
__rsub__
(
self
,
other
):
check_type
(
'tensor operation input'
,
other
,
(
Tensor
,
float
,
int
))
out
=
tensor_operator_registry
.
get
(
'__add__'
)(
other
,
Tensor
(
-
self
.
asnumpy
()))
return
out
...
...
mindspore/nn/cell.py
浏览文件 @
e2a322b6
...
...
@@ -19,7 +19,7 @@ from collections import OrderedDict
from
mindspore
import
log
as
logger
from
..
import
context
from
..common
import
dtype
as
mstype
from
..common.api
import
_executor
from
..common.api
import
_executor
,
_pynative_exec
from
.._checkparam
import
_check_str_by_regular
from
..common.parameter
import
Parameter
,
ParameterTuple
from
.._c_expression
import
init_backend
...
...
@@ -60,6 +60,7 @@ class Cell:
self
.
_params
=
OrderedDict
()
self
.
_cells
=
OrderedDict
()
self
.
training
=
False
self
.
requires_grad
=
False
self
.
pynative
=
False
self
.
_param_prefix
=
''
self
.
_auto_prefix
=
auto_prefix
...
...
@@ -79,6 +80,15 @@ class Cell:
self
.
_backward_hook
=
None
self
.
enable_hook
=
False
self
.
_bprop_debug
=
False
self
.
_is_run
=
False
@
property
def
is_run
(
self
):
return
self
.
_is_run
@
is_run
.
setter
def
is_run
(
self
,
value
):
self
.
_is_run
=
value
@
property
def
create_time
(
self
):
...
...
@@ -192,9 +202,20 @@ class Cell:
out
=
self
.
compile_and_run
(
*
inputs
)
return
out
self
.
init_parameters_data
()
if
self
.
requires_grad
is
True
:
_pynative_exec
.
set_grad_flag
(
True
)
_pynative_exec
.
new_graph
(
self
,
*
inputs
)
else
:
_pynative_exec
.
set_grad_flag
(
False
)
if
self
.
enable_hook
:
output
=
self
.
_hook_construct
(
*
inputs
)
else
:
output
=
self
.
construct
(
*
inputs
)
if
isinstance
(
output
,
Parameter
):
output
=
output
.
data
if
self
.
requires_grad
is
True
:
_pynative_exec
.
end_graph
(
self
,
output
,
*
inputs
)
self
.
_is_run
=
True
return
output
def
__setattr__
(
self
,
name
,
value
):
...
...
@@ -722,6 +743,10 @@ class Cell:
self
.
add_flags_recursive
(
**
flags
)
return
self
def
set_grad
(
self
,
mode
=
True
):
self
.
add_flags_recursive
(
requires_grad
=
mode
)
return
self
def
set_train
(
self
,
mode
=
True
):
"""
Sets the cell to training mode.
...
...
@@ -762,9 +787,9 @@ class Cell:
self
.
add_flags
(
auto_parallel
=
True
)
self
.
_get_construct_inputs_number_and_name
()
def
_hook_construct
(
self
,
inputs
):
def
_hook_construct
(
self
,
*
inputs
):
"""Hook construct method to replace original construct method when hook function enabled."""
inputs
=
self
.
_backward_hook
(
inputs
)
inputs
=
self
.
_backward_hook
(
*
inputs
)
inputs
=
self
.
construct
(
inputs
)
outputs
=
self
.
_backward_hook
(
inputs
)
return
outputs
...
...
mindspore/nn/wrap/cell_wrapper.py
浏览文件 @
e2a322b6
...
...
@@ -166,6 +166,7 @@ class TrainOneStepCell(Cell):
def
__init__
(
self
,
network
,
optimizer
,
sens
=
1.0
):
super
(
TrainOneStepCell
,
self
).
__init__
(
auto_prefix
=
False
)
self
.
network
=
network
self
.
network
.
set_grad
()
self
.
network
.
add_flags
(
defer_inline
=
True
)
self
.
weights
=
optimizer
.
parameters
self
.
optimizer
=
optimizer
...
...
mindspore/ops/composite/base.py
浏览文件 @
e2a322b6
...
...
@@ -18,14 +18,16 @@
"""Basic composite operations."""
from
functools
import
partial
from
mindspore
import
context
from
..._c_expression
import
EnvInstance_
,
GradOperation_
,
HyperMap_
,
MultitypeFuncGraph_
,
Tail_
,
TensorSlice_
,
\
TupleAdd_
,
TupleSlice_
,
UnpackCall_
,
ZipOperation_
,
ListAppend_
,
TupleGetItemTensor_
from
...common
import
dtype
as
mstype
from
...common.api
import
ms_function
from
...common.api
import
ms_function
,
_pynative_exec
from
..
import
functional
as
F
from
..
import
operations
as
P
from
...common.parameter
import
Parameter
__all__
=
[
EnvInstance_
,
TensorSlice_
,
TupleAdd_
,
TupleSlice_
,
UnpackCall_
,
TupleGetItemTensor_
]
...
...
@@ -105,14 +107,34 @@ class GradOperation(GradOperation_):
GradOperation_
.
__init__
(
self
,
name
,
get_all
,
get_by_list
,
sens_param
)
self
.
grad_fn
=
None
self
.
fn
=
None
self
.
need_forward
=
False
def
__call__
(
self
,
fn
,
weights
=
None
):
grad_
=
GradOperation
(
'grad'
,
self
.
get_all
,
self
.
get_by_list
,
self
.
sens_param
)
if
self
.
grad_fn
is
None
or
self
.
fn
!=
fn
:
if
self
.
get_by_list
:
if
context
.
get_context
(
"mode"
)
==
context
.
GRAPH_MODE
or
fn
.
bprop_debug
:
@
ms_function
(
obj
=
fn
)
def
after_grad
(
*
args
):
return
grad_
(
fn
,
weights
)(
*
args
)
else
:
def
after_grad
(
*
args
):
if
fn
.
is_run
and
not
fn
.
requires_grad
:
raise
ValueError
(
"obj must set_grad."
)
if
not
fn
.
is_run
:
self
.
need_forward
=
True
print
(
"already has forward run before grad by user"
)
if
self
.
need_forward
:
fn
.
set_grad
()
if
self
.
sens_param
:
f_args
=
args
[:
-
1
]
fn
(
*
f_args
)
else
:
fn
(
*
args
)
_pynative_exec
.
grad
(
grad_
,
fn
,
weights
,
*
args
)
out
=
_pynative_exec
(
*
args
)
_pynative_exec
.
clear
()
return
out
else
:
@
ms_function
(
obj
=
fn
)
def
after_grad
(
*
args
):
...
...
mindspore/ops/operations/debug_ops.py
浏览文件 @
e2a322b6
...
...
@@ -286,12 +286,6 @@ class HookBackward(PrimitiveWithInfer):
self
.
register_hook
(
hook_fn
)
self
.
cell_id
=
cell_id
def
__call__
(
self
,
*
inputs
):
"""run in PyNative mode."""
if
len
(
inputs
)
==
1
:
return
inputs
[
0
]
return
inputs
def
infer_shape
(
self
,
*
inputs_shape
):
if
len
(
inputs_shape
)
==
1
:
return
inputs_shape
[
0
]
...
...
mindspore/ops/primitive.py
浏览文件 @
e2a322b6
...
...
@@ -328,15 +328,9 @@ def _run_op(obj, op_name, args):
op_inputs
=
[]
for
i
,
arg
in
enumerate
(
args
):
if
hasattr
(
arg
,
'__parameter__'
):
op_inputs
.
append
(
arg
.
default_input
)
op_mask
[
i
]
=
1
elif
isinstance
(
arg
,
tuple
):
convert
=
lambda
x
:
x
.
default_input
if
hasattr
(
x
,
'__parameter__'
)
else
x
args_
=
tuple
(
convert
(
x
)
for
x
in
arg
)
op_inputs
.
append
(
args_
)
else
:
op_inputs
.
append
(
arg
)
output
=
real_run_op
(
obj
,
op_name
,
tuple
(
op_inputs
)
,
tuple
(
op_mask
))
output
=
real_run_op
(
obj
,
op_name
,
args
,
tuple
(
op_mask
))
if
not
output
:
raise
RuntimeError
(
"Pynative run op %s failed!"
%
op_name
)
if
len
(
output
)
==
1
:
...
...
tests/ut/python/pynative_mode/nn/test_dropout.py
浏览文件 @
e2a322b6
...
...
@@ -54,4 +54,4 @@ class Net_Dropout(nn.Cell):
def
test_compile_dropout
():
net
=
Net_Dropout
()
input_data
=
Tensor
(
np
.
ones
([
20
,
16
,
50
],
dtype
=
np
.
float32
))
_executor
.
compile
(
net
,
input_data
)
net
(
input_data
)
tests/vm_impl/array_ops_vm_impl.py
浏览文件 @
e2a322b6
...
...
@@ -18,6 +18,7 @@ import numpy as np
import
mindspore.common.dtype
as
mstype
from
mindspore.common.tensor
import
Tensor
from
mindspore.ops
import
operations
as
P
from
mindspore.ops.operations
import
_grad_ops
as
G
from
mindspore.ops.vm_impl_registry
import
vm_impl_registry
as
vm_impl_getters
from
.vm_interface
import
vm
...
...
@@ -225,7 +226,7 @@ def vm_impl_slice(self):
return
vm_impl
@
vm_impl_getters
.
register
(
P
.
_grad_ops
.
ConcatOffset
)
@
vm_impl_getters
.
register
(
G
.
ConcatOffset
)
def
vm_impl_concatOffset
(
self
):
"""Generate vm_impl function for ConcatOffset"""
...
...
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