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60c51de5
编写于
1月 05, 2022
作者:
J
joanna.wozna.intel
提交者:
GitHub
1月 05, 2022
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电子邮件补丁
差异文件
Add input data type checking in BF16 placement pass (#38702)
上级
bbe83ed1
变更
4
显示空白变更内容
内联
并排
Showing
4 changed file
with
39 addition
and
9 deletion
+39
-9
paddle/fluid/framework/ir/graph_pattern_detector.cc
paddle/fluid/framework/ir/graph_pattern_detector.cc
+2
-0
paddle/fluid/framework/ir/graph_pattern_detector.h
paddle/fluid/framework/ir/graph_pattern_detector.h
+1
-0
paddle/fluid/framework/ir/mkldnn/cpu_bfloat16_placement_pass.cc
.../fluid/framework/ir/mkldnn/cpu_bfloat16_placement_pass.cc
+4
-0
paddle/fluid/framework/ir/mkldnn/cpu_bfloat16_placement_pass_tester.cc
...framework/ir/mkldnn/cpu_bfloat16_placement_pass_tester.cc
+32
-9
未找到文件。
paddle/fluid/framework/ir/graph_pattern_detector.cc
浏览文件 @
60c51de5
...
...
@@ -2441,11 +2441,13 @@ PDNode *patterns::Bfloat16Placement::operator()(
if
(
!
bfloat16_enabled_op_types
.
empty
())
{
supported_op_types
=
bfloat16_enabled_op_types
;
}
auto
*
op_in
=
pattern
->
NewNode
(
op_in_repr
())
->
AsInput
();
auto
*
op
=
pattern
->
NewNode
(
op_repr
())
->
assert_is_ops
(
supported_op_types
);
op
->
assert_more
([
&
](
Node
*
node
)
{
return
node
->
Op
()
->
GetAttrIfExists
<
bool
>
(
"use_mkldnn"
)
||
node
->
Op
()
->
Type
()
==
"reshape2"
;
});
op
->
LinksFrom
({
op_in
});
return
op
;
}
...
...
paddle/fluid/framework/ir/graph_pattern_detector.h
浏览文件 @
60c51de5
...
...
@@ -1446,6 +1446,7 @@ struct Bfloat16Placement : public PatternBase {
PDNode
*
operator
()(
const
std
::
unordered_set
<
std
::
string
>&
bfloat16_enabled_op_types
);
PATTERN_DECL_NODE
(
op_in
);
PATTERN_DECL_NODE
(
op
);
};
...
...
paddle/fluid/framework/ir/mkldnn/cpu_bfloat16_placement_pass.cc
浏览文件 @
60c51de5
...
...
@@ -41,8 +41,12 @@ void CPUBfloat16PlacementPass::SetMkldnnDataType(
auto
handler
=
[
&
](
const
GraphPatternDetector
::
subgraph_t
&
subgraph
,
Graph
*
g
)
{
GET_IR_NODE_FROM_SUBGRAPH
(
op_in
,
op_in
,
bfloat16_placement_pattern
);
GET_IR_NODE_FROM_SUBGRAPH
(
op
,
op
,
bfloat16_placement_pattern
);
// Only float input can be converted to bfloat16
if
(
op_in
->
Var
()
->
GetDataType
()
!=
proto
::
VarType
::
FP32
)
return
;
if
((
op
->
Op
()
->
HasAttr
(
"mkldnn_data_type"
)
||
op
->
Op
()
->
HasProtoAttr
(
"mkldnn_data_type"
))
&&
!
platform
::
HasOpINT8DataType
(
op
->
Op
()))
{
...
...
paddle/fluid/framework/ir/mkldnn/cpu_bfloat16_placement_pass_tester.cc
浏览文件 @
60c51de5
...
...
@@ -68,7 +68,7 @@ ProgramDesc BuildProgramDesc() {
for
(
auto
&
v
:
std
::
vector
<
std
::
string
>
({
"a"
,
"b"
,
"c"
,
"f"
,
"g"
,
"h"
,
"k"
,
"l"
,
"m"
,
"n"
,
"o"
,
"p"
,
"r"
,
"s"
}))
{
prog
.
MutableBlock
(
0
)
->
Var
(
v
);
prog
.
MutableBlock
(
0
)
->
Var
(
v
)
->
SetDataType
(
proto
::
VarType
::
FP32
)
;
}
SetOp
(
&
prog
,
"concat"
,
"concat1"
,
{
"a"
,
"b"
},
{
"c"
});
...
...
@@ -86,9 +86,8 @@ ProgramDesc BuildProgramDesc() {
}
void
MainTest
(
std
::
initializer_list
<
std
::
string
>
bfloat16_enabled_op_types
,
unsigned
expected_bfloat16_data_type_count
)
{
auto
prog
=
BuildProgramDesc
();
unsigned
expected_bfloat16_data_type_count
,
const
ProgramDesc
&
prog
)
{
std
::
unique_ptr
<
ir
::
Graph
>
graph
(
new
ir
::
Graph
(
prog
));
auto
pass
=
PassRegistry
::
Instance
().
Get
(
"cpu_bfloat16_placement_pass"
);
...
...
@@ -110,8 +109,8 @@ void MainTest(std::initializer_list<std::string> bfloat16_enabled_op_types,
EXPECT_EQ
(
bfloat16_data_type_count
,
expected_bfloat16_data_type_count
);
}
void
DefaultAttrTest
(
unsigned
expected_bfloat16_data_type_count
)
{
auto
prog
=
BuildProgramDesc
();
void
DefaultAttrTest
(
unsigned
expected_bfloat16_data_type_count
,
const
ProgramDesc
&
prog
)
{
std
::
unique_ptr
<
ir
::
Graph
>
graph
(
new
ir
::
Graph
(
prog
));
auto
pass
=
PassRegistry
::
Instance
().
Get
(
"cpu_bfloat16_placement_pass"
);
graph
.
reset
(
pass
->
Apply
(
graph
.
release
()));
...
...
@@ -128,15 +127,39 @@ void DefaultAttrTest(unsigned expected_bfloat16_data_type_count) {
}
TEST
(
Bfloat16PlacementPass
,
enable_all
)
{
MainTest
({
"conv2d"
,
"pool2d"
,
"gelu"
,
"concat"
,
"sum"
},
8
);
MainTest
({
"conv2d"
,
"pool2d"
,
"gelu"
,
"concat"
,
"sum"
},
8
,
BuildProgramDesc
());
}
TEST
(
Bfloat16PlacementPass
,
enabled_conv_and_pool
)
{
// 2 conv2d + 2 pool2 - 1 orphaned conv2d
MainTest
({
"conv2d"
,
"pool2d"
},
3
);
MainTest
({
"conv2d"
,
"pool2d"
},
3
,
BuildProgramDesc
());
}
TEST
(
Bfloat16PlacementPass
,
default_attr_value
)
{
DefaultAttrTest
(
10
,
BuildProgramDesc
());
}
TEST
(
Bfloat16PlacementPass
,
default_attr_value
)
{
DefaultAttrTest
(
10
);
}
ProgramDesc
BuildProgramDescWithDataType
()
{
ProgramDesc
prog
;
for
(
auto
&
v
:
std
::
vector
<
std
::
string
>
({
"a"
,
"b"
,
"c"
,
"d"
,
"e"
}))
{
if
(
v
==
"a"
)
{
prog
.
MutableBlock
(
0
)
->
Var
(
v
)
->
SetDataType
(
proto
::
VarType
::
INT32
);
}
else
{
prog
.
MutableBlock
(
0
)
->
Var
(
v
)
->
SetDataType
(
proto
::
VarType
::
FP32
);
}
}
SetOp
(
&
prog
,
"conv2d"
,
"conv1"
,
{
"a"
},
{
"b"
});
SetOp
(
&
prog
,
"pool2d"
,
"pool1"
,
{
"b"
},
{
"c"
});
SetOp
(
&
prog
,
"concat"
,
"concat1"
,
{
"c"
,
"d"
},
{
"e"
});
return
prog
;
}
TEST
(
Bfloat16PlacementPass
,
check_data_types
)
{
DefaultAttrTest
(
2
,
BuildProgramDescWithDataType
());
}
}
// namespace ir
}
// namespace framework
...
...
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