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18709770
编写于
4月 28, 2020
作者:
H
HappyAngel
提交者:
GitHub
4月 29, 2020
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差异文件
[BUG FIX][Pass]fix depthwise deconv+bn fusion (#3480) (#3519)
*fix depthwise deconv+bn fusion
上级
717c176d
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
6 addition
and
3 deletion
+6
-3
lite/core/mir/fusion/conv_bn_fuser.cc
lite/core/mir/fusion/conv_bn_fuser.cc
+6
-3
未找到文件。
lite/core/mir/fusion/conv_bn_fuser.cc
浏览文件 @
18709770
...
@@ -103,9 +103,12 @@ void ConvBNFuser::InsertNewNode(SSAGraph* graph, const key2nodes_t& matched) {
...
@@ -103,9 +103,12 @@ void ConvBNFuser::InsertNewNode(SSAGraph* graph, const key2nodes_t& matched) {
std
::
string
conv_weight_name
=
matched
.
at
(
"conv_weight"
)
->
arg
()
->
name
;
std
::
string
conv_weight_name
=
matched
.
at
(
"conv_weight"
)
->
arg
()
->
name
;
auto
conv_weight_t
=
auto
conv_weight_t
=
scope
->
FindVar
(
conv_weight_name
)
->
GetMutable
<
lite
::
Tensor
>
();
scope
->
FindVar
(
conv_weight_name
)
->
GetMutable
<
lite
::
Tensor
>
();
auto
groups
=
conv_op_desc
->
GetAttr
<
int
>
(
"groups"
);
bool
depthwise
=
false
;
if
(
conv_type_
==
"conv2d_transpose"
)
{
if
(
conv_type_
==
"conv2d_transpose"
)
{
depthwise
=
(
conv_weight_t
->
dims
()[
0
]
==
conv_weight_t
->
dims
()[
1
]
*
groups
);
CHECK_EQ
(
static_cast
<
size_t
>
(
bn_scale_t
->
data_size
()),
CHECK_EQ
(
static_cast
<
size_t
>
(
bn_scale_t
->
data_size
()),
static_cast
<
size_t
>
(
conv_weight_t
->
dims
()[
1
]))
static_cast
<
size_t
>
(
conv_weight_t
->
dims
()[
1
]
*
groups
))
<<
"The BN bias's size should be equal to the size of the first "
<<
"The BN bias's size should be equal to the size of the first "
<<
"dim size of the conv weights"
;
<<
"dim size of the conv weights"
;
}
else
{
}
else
{
...
@@ -159,7 +162,7 @@ void ConvBNFuser::InsertNewNode(SSAGraph* graph, const key2nodes_t& matched) {
...
@@ -159,7 +162,7 @@ void ConvBNFuser::InsertNewNode(SSAGraph* graph, const key2nodes_t& matched) {
// compute new conv_weight for int8
// compute new conv_weight for int8
auto
weight_scale
=
auto
weight_scale
=
conv_op_desc
->
GetAttr
<
std
::
vector
<
float
>>
(
"weight_scale"
);
conv_op_desc
->
GetAttr
<
std
::
vector
<
float
>>
(
"weight_scale"
);
if
(
conv_type_
==
"conv2d_transpose"
)
{
if
(
conv_type_
==
"conv2d_transpose"
&&
!
depthwise
)
{
int
c_size
=
conv_weight_t
->
dims
()[
1
]
*
conv_weight_t
->
dims
()[
2
]
*
int
c_size
=
conv_weight_t
->
dims
()[
1
]
*
conv_weight_t
->
dims
()[
2
]
*
conv_weight_t
->
dims
()[
3
];
conv_weight_t
->
dims
()[
3
];
int
hw
=
conv_weight_t
->
dims
()[
2
]
*
conv_weight_t
->
dims
()[
3
];
int
hw
=
conv_weight_t
->
dims
()[
2
]
*
conv_weight_t
->
dims
()[
3
];
...
@@ -199,7 +202,7 @@ void ConvBNFuser::InsertNewNode(SSAGraph* graph, const key2nodes_t& matched) {
...
@@ -199,7 +202,7 @@ void ConvBNFuser::InsertNewNode(SSAGraph* graph, const key2nodes_t& matched) {
}
else
{
}
else
{
// compute new conv_weight
// compute new conv_weight
auto
conv_weight_d
=
conv_weight_t
->
mutable_data
<
float
>
();
auto
conv_weight_d
=
conv_weight_t
->
mutable_data
<
float
>
();
if
(
conv_type_
==
"conv2d_transpose"
)
{
if
(
conv_type_
==
"conv2d_transpose"
&&
!
depthwise
)
{
int
c_size
=
conv_weight_t
->
dims
()[
1
]
*
conv_weight_t
->
dims
()[
2
]
*
int
c_size
=
conv_weight_t
->
dims
()[
1
]
*
conv_weight_t
->
dims
()[
2
]
*
conv_weight_t
->
dims
()[
3
];
conv_weight_t
->
dims
()[
3
];
int
hw
=
conv_weight_t
->
dims
()[
2
]
*
conv_weight_t
->
dims
()[
3
];
int
hw
=
conv_weight_t
->
dims
()[
2
]
*
conv_weight_t
->
dims
()[
3
];
...
...
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