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4498313d
编写于
4月 03, 2020
作者:
Z
zhupengyang
提交者:
GitHub
4月 03, 2020
浏览文件
操作
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电子邮件补丁
差异文件
[XPU] add yolo_box bridge (#3319)
上级
7603c043
变更
5
隐藏空白更改
内联
并排
Showing
5 changed file
with
106 addition
and
16 deletion
+106
-16
lite/kernels/xpu/bridges/CMakeLists.txt
lite/kernels/xpu/bridges/CMakeLists.txt
+2
-0
lite/kernels/xpu/bridges/paddle_use_bridges.h
lite/kernels/xpu/bridges/paddle_use_bridges.h
+1
-0
lite/kernels/xpu/bridges/yolo_box_op.cc
lite/kernels/xpu/bridges/yolo_box_op.cc
+85
-0
lite/kernels/xpu/subgraph_compute.cc
lite/kernels/xpu/subgraph_compute.cc
+3
-5
lite/tests/kernels/yolo_box_compute_test.cc
lite/tests/kernels/yolo_box_compute_test.cc
+15
-11
未找到文件。
lite/kernels/xpu/bridges/CMakeLists.txt
浏览文件 @
4498313d
...
...
@@ -25,6 +25,7 @@ lite_cc_library(subgraph_bridge_layer_norm_op_xpu SRCS layer_norm_op.cc DEPS ${x
lite_cc_library
(
subgraph_bridge_dropout_op_xpu SRCS dropout_op.cc DEPS
${
xpu_subgraph_bridge_deps
}
)
lite_cc_library
(
subgraph_bridge_matmul_op_xpu SRCS matmul_op.cc DEPS
${
xpu_subgraph_bridge_deps
}
)
lite_cc_library
(
subgraph_bridge_cast_op_xpu SRCS cast_op.cc DEPS
${
xpu_subgraph_bridge_deps
}
)
lite_cc_library
(
subgraph_bridge_yolo_box_op_xpu SRCS yolo_box_op.cc DEPS
${
xpu_subgraph_bridge_deps
}
)
set
(
xpu_subgraph_bridges
subgraph_bridge_registry
...
...
@@ -48,6 +49,7 @@ set(xpu_subgraph_bridges
subgraph_bridge_dropout_op_xpu
subgraph_bridge_matmul_op_xpu
subgraph_bridge_cast_op_xpu
subgraph_bridge_yolo_box_op_xpu
CACHE INTERNAL
"xpu_subgraph_bridges"
)
message
(
STATUS
"+++++ xpu_subgraph_bridges:
${
xpu_subgraph_bridges
}
"
)
lite/kernels/xpu/bridges/paddle_use_bridges.h
浏览文件 @
4498313d
...
...
@@ -37,3 +37,4 @@ USE_SUBGRAPH_BRIDGE(gelu, kXPU);
USE_SUBGRAPH_BRIDGE
(
dropout
,
kXPU
);
USE_SUBGRAPH_BRIDGE
(
matmul
,
kXPU
);
USE_SUBGRAPH_BRIDGE
(
cast
,
kXPU
);
USE_SUBGRAPH_BRIDGE
(
yolo_box
,
kXPU
);
lite/kernels/xpu/bridges/yolo_box_op.cc
0 → 100644
浏览文件 @
4498313d
// Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "lite/kernels/npu/bridges/registry.h"
#include "lite/kernels/xpu/bridges/graph.h"
#include "lite/kernels/xpu/bridges/utility.h"
namespace
paddle
{
namespace
lite
{
namespace
subgraph
{
namespace
xpu
{
int
YoloBoxConverter
(
void
*
ctx
,
OpLite
*
op
,
KernelBase
*
kernel
)
{
CHECK
(
ctx
!=
nullptr
);
CHECK
(
op
!=
nullptr
);
auto
graph
=
static_cast
<
Graph
*>
(
ctx
);
auto
op_info
=
op
->
op_info
();
auto
op_type
=
op_info
->
Type
();
auto
scope
=
op
->
scope
();
VLOG
(
3
)
<<
"[XPU] Converting "
+
op_type
+
"..."
;
// Get input and output vars and op attributes
auto
x_name
=
op_info
->
Input
(
"X"
).
front
();
auto
x
=
scope
->
FindTensor
(
x_name
);
auto
img_size_name
=
op_info
->
Input
(
"ImgSize"
).
front
();
auto
img_size
=
scope
->
FindTensor
(
img_size_name
);
auto
boxes_name
=
op_info
->
Output
(
"Boxes"
).
front
();
auto
scores_name
=
op_info
->
Output
(
"Scores"
).
front
();
auto
anchors
=
op_info
->
GetAttr
<
std
::
vector
<
int
>>
(
"anchors"
);
auto
class_num
=
op_info
->
GetAttr
<
int
>
(
"class_num"
);
auto
conf_thresh
=
op_info
->
GetAttr
<
float
>
(
"conf_thresh"
);
auto
downsample_ratio
=
op_info
->
GetAttr
<
int
>
(
"downsample_ratio"
);
// X node
std
::
shared_ptr
<
Node
>
x_node
=
nullptr
;
if
(
graph
->
Has
(
x_name
))
{
x_node
=
graph
->
Get
(
x_name
);
}
else
{
x_node
=
graph
->
Add
(
x_name
,
*
x
);
}
// ImgSize node
std
::
shared_ptr
<
Node
>
img_size_node
=
nullptr
;
if
(
graph
->
Has
(
img_size_name
))
{
img_size_node
=
graph
->
Get
(
img_size_name
);
}
else
{
img_size_node
=
graph
->
Add
(
img_size_name
,
*
img_size
);
}
// Softmax node
auto
yolo_box_data
=
graph
->
builder_
.
CreateYoloBox
(
*
x_node
->
data
(),
*
img_size_node
->
data
(),
CvtShape
<
xtcl
::
Integer
>
(
anchors
),
class_num
,
conf_thresh
,
downsample_ratio
);
graph
->
Add
(
boxes_name
,
graph
->
builder_
.
GetField
(
yolo_box_data
,
0
));
graph
->
Add
(
scores_name
,
graph
->
builder_
.
GetField
(
yolo_box_data
,
1
));
return
SUCCESS
;
}
}
// namespace xpu
}
// namespace subgraph
}
// namespace lite
}
// namespace paddle
REGISTER_SUBGRAPH_BRIDGE
(
yolo_box
,
kXPU
,
paddle
::
lite
::
subgraph
::
xpu
::
YoloBoxConverter
);
lite/kernels/xpu/subgraph_compute.cc
浏览文件 @
4498313d
...
...
@@ -34,7 +34,7 @@ int SubgraphEngine::BuildDeviceProgram() {
subgraph
::
xpu
::
Graph
graph
;
const
auto
&
bridges
=
subgraph
::
Registry
::
Instance
();
for
(
auto
&
inst
:
origin_program_
)
{
auto
op
=
inst
.
op
(
);
auto
op
=
const_cast
<
OpLite
*>
(
inst
.
op
()
);
CHECK
(
op
);
op
->
CheckShape
();
op
->
InferShape
();
...
...
@@ -43,10 +43,8 @@ int SubgraphEngine::BuildDeviceProgram() {
return
subgraph
::
FAILED
;
}
auto
kernel
=
inst
.
kernel
();
status
|=
bridges
.
Select
(
op_type
,
TARGET
(
kXPU
))(
reinterpret_cast
<
void
*>
(
&
graph
),
const_cast
<
OpLite
*>
(
op
),
const_cast
<
KernelBase
*>
(
kernel
));
status
|=
bridges
.
Select
(
op_type
,
TARGET
(
kXPU
))(
reinterpret_cast
<
void
*>
(
&
graph
),
op
,
const_cast
<
KernelBase
*>
(
kernel
));
if
(
subgraph
::
CHECK_FAILED
(
status
))
{
return
subgraph
::
FAILED
;
}
...
...
lite/tests/kernels/yolo_box_compute_test.cc
浏览文件 @
4498313d
...
...
@@ -228,14 +228,14 @@ class YoloBoxComputeTester : public arena::TestCase {
}
};
void
test_yolobox
(
Place
place
)
{
for
(
int
class_num
:
{
1
,
2
,
3
,
4
})
{
for
(
float
conf_thresh
:
{
0.01
,
0.2
,
0.7
})
{
void
TestYoloBox
(
Place
place
,
float
abs_error
)
{
for
(
int
class_num
:
{
1
,
4
})
{
for
(
float
conf_thresh
:
{
0.01
,
0.2
})
{
for
(
int
downsample_ratio
:
{
16
,
32
})
{
std
::
vector
<
int
>
anchor
({
10
,
13
,
16
,
30
})
;
std
::
vector
<
int
>
anchor
{
10
,
13
,
16
,
30
,
33
,
30
}
;
std
::
unique_ptr
<
arena
::
TestCase
>
tester
(
new
YoloBoxComputeTester
(
place
,
"def"
,
anchor
,
class_num
,
conf_thresh
,
downsample_ratio
));
arena
::
Arena
arena
(
std
::
move
(
tester
),
place
,
2e-5
);
arena
::
Arena
arena
(
std
::
move
(
tester
),
place
,
abs_error
);
arena
.
TestPrecision
();
}
}
...
...
@@ -243,13 +243,17 @@ void test_yolobox(Place place) {
}
TEST
(
YoloBox
,
precision
)
{
// #ifdef LITE_WITH_X86
// Place place(TARGET(kX86));
// #endif
#ifdef LITE_WITH_ARM
Place
place
(
TARGET
(
kARM
));
test_yolobox
(
place
);
float
abs_error
=
2e-5
;
Place
place
;
#if defined(LITE_WITH_ARM)
place
=
TARGET
(
kARM
);
#elif defined(LITE_WITH_XPU)
place
=
TARGET
(
kXPU
);
#else
return
;
#endif
TestYoloBox
(
place
,
abs_error
);
}
}
// namespace lite
...
...
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