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48f9ae36
编写于
6月 25, 2019
作者:
T
tensor-tang
浏览文件
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差异文件
Merge branch 'tangjian/lite/int8' into 'incubate/lite'
Tangjian/lite/int8 See merge request inference/paddlelite!61
上级
d2de6a65
f2b88ecf
变更
2
显示空白变更内容
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并排
Showing
2 changed file
with
53 addition
and
1 deletion
+53
-1
paddle/fluid/lite/core/lite_tensor.h
paddle/fluid/lite/core/lite_tensor.h
+16
-0
paddle/fluid/lite/kernels/arm/conv_compute.cc
paddle/fluid/lite/kernels/arm/conv_compute.cc
+37
-1
未找到文件。
paddle/fluid/lite/core/lite_tensor.h
浏览文件 @
48f9ae36
...
@@ -47,6 +47,22 @@ class DDimLite : public DDimBase<DDimLite> {
...
@@ -47,6 +47,22 @@ class DDimLite : public DDimBase<DDimLite> {
std
::
multiplies
<
value_type
>
());
std
::
multiplies
<
value_type
>
());
}
}
const
std
::
vector
<
value_type
>
&
data
()
const
{
return
data_
;
}
const
std
::
vector
<
value_type
>
&
data
()
const
{
return
data_
;
}
value_type
count
(
int
start
,
int
end
)
{
if
(
start
<
0
)
{
start
=
0
;
}
if
(
end
>
size
())
{
end
=
size
();
}
if
(
end
<
start
)
{
end
=
start
;
}
value_type
sum
=
1
;
for
(
auto
i
=
start
;
i
<
end
;
++
i
)
{
sum
*=
data_
[
i
];
}
return
sum
;
}
private:
private:
std
::
vector
<
value_type
>
data_
;
std
::
vector
<
value_type
>
data_
;
...
...
paddle/fluid/lite/kernels/arm/conv_compute.cc
浏览文件 @
48f9ae36
...
@@ -95,8 +95,44 @@ void ConvCompute::Run() {
...
@@ -95,8 +95,44 @@ void ConvCompute::Run() {
template
<
PrecisionType
Ptype_out
>
template
<
PrecisionType
Ptype_out
>
void
ConvComputeInt8
<
Ptype_out
>::
PrepareForRun
()
{
void
ConvComputeInt8
<
Ptype_out
>::
PrepareForRun
()
{
auto
&
param
=
this
->
Param
<
param_t
>
();
auto
&
param
=
this
->
Param
<
param_t
>
();
auto
x_dims
=
param
.
x
->
dims
();
auto
w_dims
=
param
.
filter
->
dims
();
auto
o_dims
=
param
.
output
->
dims
();
auto
&
ctx
=
this
->
ctx_
->
template
As
<
ARMContext
>();
auto
&
ctx
=
this
->
ctx_
->
template
As
<
ARMContext
>();
int
win
=
x_dims
[
3
];
// nchw
int
hin
=
x_dims
[
2
];
int
ic
=
x_dims
[
1
];
int
bs
=
x_dims
[
0
];
int
ow
=
o_dims
[
3
];
int
oh
=
o_dims
[
2
];
int
oc
=
o_dims
[
1
];
int
kh
=
w_dims
[
2
];
// oihw
int
kw
=
w_dims
[
3
];
int
ph
=
param
.
paddings
[
1
];
int
pw
=
param
.
paddings
[
0
];
int
sh
=
param
.
strides
[
1
];
int
sw
=
param
.
strides
[
0
];
bool
kps_equal
=
(
pw
==
ph
)
&&
(
sh
==
sw
)
&&
(
kw
==
kh
);
bool
no_dilation
=
(
param
.
dilations
[
0
]
==
1
)
&&
(
param
.
dilations
[
1
]
==
1
);
bool
flag_dw_3x3
=
(
kw
==
3
)
&&
(
ph
==
1
)
&&
(
sw
==
1
||
sw
==
2
);
bool
flag_dw_5x5
=
(
kw
==
5
&&
sw
==
1
&&
ph
==
2
);
bool
flag_dw
=
flag_dw_3x3
||
flag_dw_5x5
;
// weigth is int8 and bias is int32 so do not need trans
if
(
param
.
groups
==
ic
&&
ic
==
oc
&&
kps_equal
&&
no_dilation
&&
flag_dw
)
{
impl_
=
new
lite
::
arm
::
math
::
DepthwiseConvInt8
<
Ptype_out
>
;
VLOG
(
3
)
<<
"DepthwiseConv Int8"
;
}
else
if
(
param
.
groups
==
1
&&
kw
==
3
&&
(
sw
==
1
||
sw
==
2
)
&&
kps_equal
&&
no_dilation
)
{
// impl_ = new lite::arm::math::DirectConv<Ptype_out>;
}
else
{
VLOG
(
3
)
<<
"GemmLikeConvInt8"
;
impl_
=
new
lite
::
arm
::
math
::
GemmLikeConvInt8
<
Ptype_out
>
;
impl_
=
new
lite
::
arm
::
math
::
GemmLikeConvInt8
<
Ptype_out
>
;
}
CHECK
(
this
->
impl_
->
create
(
param
,
&
ctx
));
CHECK
(
this
->
impl_
->
create
(
param
,
&
ctx
));
}
}
...
...
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