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87371be6
M
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87371be6
编写于
6月 15, 2020
作者:
M
mindspore-ci-bot
提交者:
Gitee
6月 15, 2020
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差异文件
!2127 Fix exception when FusedBatchNorm's first input 's shape dims not equal 4
Merge pull request !2127 from huanghui/fix-fusebatchnorm-split
上级
8593c4d8
ffe074b6
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
13 addition
and
7 deletion
+13
-7
mindspore/ccsrc/pre_activate/ascend/ir_fission/bn_split.cc
mindspore/ccsrc/pre_activate/ascend/ir_fission/bn_split.cc
+13
-7
未找到文件。
mindspore/ccsrc/pre_activate/ascend/ir_fission/bn_split.cc
浏览文件 @
87371be6
...
...
@@ -28,14 +28,14 @@
namespace
mindspore
{
namespace
opt
{
namespace
{
void
CreateOutputsOfBNTrainingReduce
(
const
FuncGraphPtr
&
graph
,
const
CNodePtr
&
bn_cnode
,
bool
CreateOutputsOfBNTrainingReduce
(
const
FuncGraphPtr
&
graph
,
const
CNodePtr
&
bn_cnode
,
std
::
vector
<
AnfNodePtr
>
*
bn_training_reduce_outputs
)
{
MS_EXCEPTION_IF_NULL
(
graph
);
MS_EXCEPTION_IF_NULL
(
bn_cnode
);
if
(
bn_cnode
->
inputs
().
size
()
!=
kBnInputNum
)
{
MS_LOG
(
EXCEPTION
)
<<
"BN node has wrong input size"
;
MS_LOG
(
INFO
)
<<
"FusedbatchNorm's input size less than "
<<
kBnInputNum
<<
". "
<<
bn_cnode
->
DebugString
();
return
false
;
}
// All the inputs of BNTrainingReduce are from the inputs of BN
std
::
vector
<
AnfNodePtr
>
bn_training_reduce_inputs
=
{
NewValueNode
(
std
::
make_shared
<
Primitive
>
(
kBNTrainingReduceOpName
))};
bn_training_reduce_inputs
.
push_back
(
bn_cnode
->
input
(
1
));
...
...
@@ -45,8 +45,9 @@ void CreateOutputsOfBNTrainingReduce(const FuncGraphPtr &graph, const CNodePtr &
MS_EXCEPTION_IF_NULL
(
kernel_info
);
bn_training_reduce
->
set_kernel_info
(
kernel_info
);
std
::
vector
<
size_t
>
bn_shape_i0
=
AnfAlgo
::
GetPrevNodeOutputInferShape
(
bn_cnode
,
0
);
if
(
bn_shape_i0
.
size
()
!=
kShape4dDims
)
{
MS_LOG
(
EXCEPTION
)
<<
"Get shape of FusedBatchNorm fail"
;
if
(
bn_shape_i0
.
size
()
<
kShape2dDims
)
{
MS_LOG
(
INFO
)
<<
"The FusedBatchNorm's first input's shape dims less than "
<<
kShape2dDims
;
return
false
;
}
std
::
vector
<
size_t
>
bn_training_reduce_shape
=
{
bn_shape_i0
[
1
]};
auto
types
=
{
kNumberTypeFloat32
,
kNumberTypeFloat32
};
...
...
@@ -56,6 +57,7 @@ void CreateOutputsOfBNTrainingReduce(const FuncGraphPtr &graph, const CNodePtr &
AnfAlgo
::
CopyNodeAttrs
(
bn_cnode
,
bn_training_reduce
);
CreateMultipleOutputsOfAnfNode
(
graph
,
bn_training_reduce
,
kBNTrainingReduceOutputNum
,
bn_training_reduce_outputs
);
return
true
;
}
AnfNodePtr
CreateOutputsOfBNTrainingUpdate
(
const
FuncGraphPtr
&
graph
,
const
CNodePtr
&
bn_cnode
,
...
...
@@ -99,11 +101,15 @@ AnfNodePtr SplitFusedBatchNormForTBE(const FuncGraphPtr &func_graph, const AnfNo
auto
cnode
=
node
->
cast
<
CNodePtr
>
();
MS_EXCEPTION_IF_NULL
(
cnode
);
if
(
cnode
->
inputs
().
size
()
<
kBnInputNum
)
{
MS_LOG
(
EXCEPTION
)
<<
"op[FusedBatchNorm] has less than "
<<
kBnInputNum
<<
" inputs."
;
MS_LOG
(
INFO
)
<<
"op[FusedBatchNorm] has less than "
<<
kBnInputNum
<<
" inputs."
;
return
nullptr
;
}
// Create BNTrainingReduce node and get outputs of BNTrainingReduce
std
::
vector
<
AnfNodePtr
>
bn_training_reduce_outputs
;
CreateOutputsOfBNTrainingReduce
(
func_graph
,
cnode
,
&
bn_training_reduce_outputs
);
if
(
!
CreateOutputsOfBNTrainingReduce
(
func_graph
,
cnode
,
&
bn_training_reduce_outputs
))
{
MS_LOG
(
WARNING
)
<<
"Create BNTrainingReduce fail, quit split"
;
return
nullptr
;
}
if
(
bn_training_reduce_outputs
.
size
()
!=
kBN1OutputNum
)
{
MS_LOG
(
EXCEPTION
)
<<
"make outputs of op BNTrainingReduce fail"
;
}
...
...
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