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90d98aa6
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体验新版 GitCode,发现更多精彩内容 >>
提交
90d98aa6
编写于
5月 30, 2020
作者:
M
mindspore-ci-bot
提交者:
Gitee
5月 30, 2020
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差异文件
!1694 Check the input size of BatchNorm before fission in bert
Merge pull request !1694 from YuJianfeng/master
上级
fffb2ef5
e6f1cfa5
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
49 addition
and
1 deletion
+49
-1
mindspore/ccsrc/pre_activate/ascend/ir_fission/batch_norm_bert_fission.cc
...pre_activate/ascend/ir_fission/batch_norm_bert_fission.cc
+9
-0
tests/ut/cpp/pre_activate/ascend/ir_fission/batch_norm_bert_fission_test.cc
...ctivate/ascend/ir_fission/batch_norm_bert_fission_test.cc
+40
-1
未找到文件。
mindspore/ccsrc/pre_activate/ascend/ir_fission/batch_norm_bert_fission.cc
浏览文件 @
90d98aa6
...
...
@@ -149,8 +149,17 @@ const BaseRef BatchNormBertFission::DefinePattern() const {
const
AnfNodePtr
BatchNormBertFission
::
Process
(
const
FuncGraphPtr
&
func_graph
,
const
AnfNodePtr
&
node
,
const
EquivPtr
&
)
const
{
MS_EXCEPTION_IF_NULL
(
func_graph
);
MS_EXCEPTION_IF_NULL
(
node
);
std
::
vector
<
AnfNodePtr
>
bn_outputs
;
if
(
!
GetBatchNormOutputs
(
func_graph
,
node
,
&
bn_outputs
))
{
MS_LOG
(
INFO
)
<<
"The BatchNorm node should only have output 0, 3 and 4. The node should not be changed"
;
return
nullptr
;
}
auto
cnode
=
node
->
cast
<
CNodePtr
>
();
MS_EXCEPTION_IF_NULL
(
cnode
);
if
(
cnode
->
inputs
().
size
()
!=
kBatchNormRealInputNum
+
1
)
{
MS_LOG
(
INFO
)
<<
"The input size of BatchNorm should be "
<<
kBatchNormRealInputNum
<<
". The node should not be changed"
;
return
nullptr
;
}
AnfNodePtr
bn_training_reduce
=
CreateBNTrainingReduce
(
func_graph
,
node
);
...
...
tests/ut/cpp/pre_activate/ascend/ir_fission/batch_norm_bert_fission_test.cc
浏览文件 @
90d98aa6
...
...
@@ -28,7 +28,7 @@ class TestHWBatchNormBertFission : public BackendCommon {
UT
::
PyFuncGraphFetcher
get_py_fun_
;
};
TEST_F
(
TestHWBatchNormBertFission
,
test_fused_batch_norm_f
u
sion
)
{
TEST_F
(
TestHWBatchNormBertFission
,
test_fused_batch_norm_f
is
sion
)
{
FuncGraphPtr
g
=
get_py_fun_
.
CallAndParseRet
(
"test_batch_norm_bert_fission"
,
"before"
);
EXPECT_NE
(
g
,
nullptr
);
std
::
vector
<
int
>
shp_x
{
32
,
64
,
112
,
112
};
...
...
@@ -40,6 +40,23 @@ TEST_F(TestHWBatchNormBertFission, test_fused_batch_norm_fusion) {
args_spec_list
.
push_back
(
y_abstract
);
}
auto
kg
=
GetKernelGraph
(
g
,
args_spec_list
);
auto
ret
=
kg
->
get_return
();
EXPECT_NE
(
ret
,
nullptr
);
auto
make_tuple0
=
ret
->
input
(
1
);
EXPECT_NE
(
make_tuple0
,
nullptr
);
auto
tuple_getitem0
=
make_tuple0
->
cast
<
CNodePtr
>
()
->
input
(
1
);
EXPECT_NE
(
tuple_getitem0
,
nullptr
);
auto
make_tuple1
=
tuple_getitem0
->
cast
<
CNodePtr
>
()
->
input
(
1
);
EXPECT_NE
(
make_tuple1
,
nullptr
);
auto
tuple_getitem1
=
make_tuple1
->
cast
<
CNodePtr
>
()
->
input
(
1
);
EXPECT_NE
(
tuple_getitem1
,
nullptr
);
auto
bn
=
tuple_getitem1
->
cast
<
CNodePtr
>
()
->
input
(
1
);
EXPECT_NE
(
bn
,
nullptr
);
auto
bn_cnode
=
bn
->
cast
<
CNodePtr
>
();
EXPECT_NE
(
bn_cnode
,
nullptr
);
auto
inputs
=
bn_cnode
->
inputs
();
std
::
vector
<
AnfNodePtr
>
new_inputs
(
inputs
.
begin
(),
inputs
.
begin
()
+
4
);
bn_cnode
->
set_inputs
(
new_inputs
);
auto
optimizer
=
std
::
make_shared
<
opt
::
GraphOptimizer
>
();
auto
pm
=
std
::
make_shared
<
opt
::
PassManager
>
();
...
...
@@ -50,5 +67,27 @@ TEST_F(TestHWBatchNormBertFission, test_fused_batch_norm_fusion) {
FuncGraphPtr
g_after
=
get_py_fun_
.
CallAndParseRet
(
"test_batch_norm_bert_fission"
,
"after"
);
EXPECT_TRUE
(
CheckEqualGraph
(
g_after
,
new_graph
));
}
TEST_F
(
TestHWBatchNormBertFission
,
test_fused_batch_norm_no_fission
)
{
FuncGraphPtr
g
=
get_py_fun_
.
CallAndParseRet
(
"test_batch_norm_bert_fission"
,
"before"
);
EXPECT_NE
(
g
,
nullptr
);
std
::
vector
<
int
>
shp_x
{
32
,
64
,
112
,
112
};
auto
x_abstract
=
std
::
make_shared
<
abstract
::
AbstractTensor
>
(
kFloat32
,
shp_x
);
std
::
vector
<
int
>
shp_y
{
64
};
auto
y_abstract
=
std
::
make_shared
<
abstract
::
AbstractTensor
>
(
kFloat32
,
shp_y
);
AbstractBasePtrList
args_spec_list
{
x_abstract
};
for
(
size_t
i
=
0
;
i
<
4
;
++
i
)
{
args_spec_list
.
push_back
(
y_abstract
);
}
auto
kg
=
GetKernelGraph
(
g
,
args_spec_list
);
auto
optimizer
=
std
::
make_shared
<
opt
::
GraphOptimizer
>
();
auto
pm
=
std
::
make_shared
<
opt
::
PassManager
>
();
pm
->
AddPass
(
std
::
make_shared
<
opt
::
BatchNormBertFission
>
());
optimizer
->
AddPassManager
(
pm
);
FuncGraphPtr
new_graph
=
optimizer
->
Optimize
(
kg
);
EXPECT_TRUE
(
CheckEqualGraph
(
kg
,
new_graph
));
}
}
// namespace opt
}
// namespace mindspore
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