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3fe5cddf
编写于
12月 25, 2019
作者:
H
hong19860320
提交者:
GitHub
12月 25, 2019
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电子邮件补丁
差异文件
[LITE][XPU] Fix matmul op bridge (#2668)
上级
28481458
变更
1
显示空白变更内容
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Showing
1 changed file
with
64 addition
and
6 deletion
+64
-6
lite/kernels/xpu/bridges/matmul_op.cc
lite/kernels/xpu/bridges/matmul_op.cc
+64
-6
未找到文件。
lite/kernels/xpu/bridges/matmul_op.cc
浏览文件 @
3fe5cddf
...
...
@@ -49,9 +49,10 @@ int MatmulConverter(void* ctx, OpLite* op, KernelBase* kernel) {
auto
out_type
=
kernel
->
GetOutputDeclType
(
"Out"
);
CHECK
(
out_type
->
precision
()
==
PRECISION
(
kFloat
));
CHECK
(
out_type
->
layout
()
==
DATALAYOUT
(
kNCHW
));
auto
out
=
scope
->
FindMutableTensor
(
out_name
);
auto
out_dims
=
out
->
dims
();
auto
transpose_x
=
op_info
->
GetAttr
<
bool
>
(
"transpose_X"
);
CHECK
(
!
transpose_x
)
<<
"XPU only support transpose_x == true now"
;
auto
transpose_y
=
op_info
->
GetAttr
<
bool
>
(
"transpose_Y"
);
auto
alpha
=
op_info
->
GetAttr
<
float
>
(
"alpha"
);
...
...
@@ -71,11 +72,68 @@ int MatmulConverter(void* ctx, OpLite* op, KernelBase* kernel) {
y_node
=
graph
->
AddNode
(
y_name
,
y_dims
);
}
auto
matmul_node
=
graph
->
builder_
.
CreateMatmul2D
(
*
x_node
,
*
y_node
,
transpose_y
);
graph
->
AddNode
(
out_name
,
graph
->
builder_
.
CreateScale
(
matmul_node
,
alpha
));
return
SUCCESS
;
// Matmul node
if
(
x_dims
.
size
()
>
2
&&
y_dims
.
size
()
>=
2
)
{
// x: [B, ..., M, K], y: [B, ..., K, N], out: [B, ..., M, N]
// x: [B, M, K], y: [K, N], out: [B, M, N]
// Reshape and transposed X node
if
(
x_dims
.
size
()
!=
3
)
{
auto
m
=
static_cast
<
int
>
(
x_dims
[
x_dims
.
size
()
-
2
]);
auto
k
=
static_cast
<
int
>
(
x_dims
[
x_dims
.
size
()
-
1
]);
x_node
=
graph
->
AddNode
(
x_name
+
"/reshape"
,
graph
->
builder_
.
CreateReshape
(
*
x_node
,
{
-
1
,
m
,
k
}));
if
(
transpose_x
)
{
x_node
=
graph
->
AddNode
(
x_name
+
"/reshape/transpose"
,
graph
->
builder_
.
CreateTranspose
(
*
x_node
,
{
0
,
2
,
1
}));
}
}
// Reshape and transposed Y node
if
(
y_dims
.
size
()
!=
3
)
{
auto
k
=
static_cast
<
int
>
(
y_dims
[
y_dims
.
size
()
-
2
]);
auto
n
=
static_cast
<
int
>
(
y_dims
[
y_dims
.
size
()
-
1
]);
y_node
=
graph
->
AddNode
(
y_name
+
"/reshape"
,
graph
->
builder_
.
CreateReshape
(
*
y_node
,
{
-
1
,
k
,
n
}));
if
(
!
transpose_y
)
{
y_node
=
graph
->
AddNode
(
y_name
+
"/reshape/transpose"
,
graph
->
builder_
.
CreateTranspose
(
*
y_node
,
{
0
,
2
,
1
}));
}
}
// Matmul node
auto
matmul_node
=
graph
->
AddNode
(
out_name
,
graph
->
builder_
.
CreateBatchMatmul
(
*
x_node
,
*
y_node
));
if
(
fabs
(
alpha
-
1
)
>
1e-6
f
)
{
matmul_node
=
graph
->
AddNode
(
out_name
,
graph
->
builder_
.
CreateScale
(
*
matmul_node
,
alpha
));
}
if
(
out_dims
.
size
()
!=
3
)
{
graph
->
AddNode
(
out_name
,
graph
->
builder_
.
CreateReshape
(
*
matmul_node
,
CvtShape
<
xtcl
::
Integer
>
(
out_dims
)));
}
}
else
if
(
x_dims
.
size
()
==
2
&&
y_dims
.
size
()
==
2
)
{
// x: [M, K], y: [K, N], out: [M, N]
if
(
transpose_x
)
{
x_node
=
graph
->
AddNode
(
x_name
+
"/transpose"
,
graph
->
builder_
.
CreateTranspose
(
*
x_node
,
{
1
,
0
}));
}
auto
matmul_node
=
graph
->
AddNode
(
out_name
,
graph
->
builder_
.
CreateMatmul2D
(
*
x_node
,
*
y_node
,
transpose_y
));
if
(
fabs
(
alpha
-
1
)
>
1e-6
f
)
{
matmul_node
=
graph
->
AddNode
(
out_name
,
graph
->
builder_
.
CreateScale
(
*
matmul_node
,
alpha
));
}
}
else
if
(
x_dims
.
size
()
==
1
&&
y_dims
.
size
()
==
1
)
{
// x: [K], y: [K], out: [1]
// x: [M], y: [N], x_transpose: true, y_transpose: true, out: [M, N]
LOG
(
FATAL
)
<<
"[XPU] Not supported."
;
return
FAILED
;
}
return
REBUILD_WHEN_SHAPE_CHANGED
;
}
}
// namespace xpu
...
...
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