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9d88feea
编写于
2月 29, 2020
作者:
S
Santa An
提交者:
GitHub
2月 29, 2020
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差异文件
* [LITE][BM] support yolov3, test=develop (#3035)
上级
63e0f695
变更
8
隐藏空白更改
内联
并排
Showing
8 changed file
with
282 addition
and
48 deletion
+282
-48
lite/kernels/bm/bridges/CMakeLists.txt
lite/kernels/bm/bridges/CMakeLists.txt
+4
-0
lite/kernels/bm/bridges/act_op.cc
lite/kernels/bm/bridges/act_op.cc
+28
-9
lite/kernels/bm/bridges/elementwise_ops.cc
lite/kernels/bm/bridges/elementwise_ops.cc
+19
-30
lite/kernels/bm/bridges/interpolate_op.cc
lite/kernels/bm/bridges/interpolate_op.cc
+95
-0
lite/kernels/bm/bridges/paddle_use_bridges.h
lite/kernels/bm/bridges/paddle_use_bridges.h
+6
-0
lite/kernels/bm/bridges/yolo_box_op.cc
lite/kernels/bm/bridges/yolo_box_op.cc
+125
-0
lite/kernels/bm/subgraph_compute.cc
lite/kernels/bm/subgraph_compute.cc
+5
-8
lite/kernels/bm/subgraph_compute.h
lite/kernels/bm/subgraph_compute.h
+0
-1
未找到文件。
lite/kernels/bm/bridges/CMakeLists.txt
浏览文件 @
9d88feea
...
...
@@ -23,6 +23,8 @@ lite_cc_library(subgraph_bridge_norm_op_bm SRCS norm_op.cc DEPS ${bm_subgraph_br
lite_cc_library
(
subgraph_bridge_prior_box_op_bm SRCS prior_box_op.cc DEPS
${
bm_subgraph_bridge_deps
}
)
lite_cc_library
(
subgraph_bridge_box_coder_op_bm SRCS box_coder_op.cc DEPS
${
bm_subgraph_bridge_deps
}
)
lite_cc_library
(
subgraph_bridge_multiclass_nms_op_bm SRCS multiclass_nms_op.cc DEPS
${
bm_subgraph_bridge_deps
}
)
lite_cc_library
(
subgraph_bridge_interpolate_op_bm SRCS interpolate_op.cc DEPS
${
bm_subgraph_bridge_deps
}
)
lite_cc_library
(
subgraph_bridge_yolo_box_op_bm SRCS yolo_box_op.cc DEPS
${
bm_subgraph_bridge_deps
}
)
set
(
bm_subgraph_bridges
subgraph_bridge_registry
...
...
@@ -44,4 +46,6 @@ set(bm_subgraph_bridges
subgraph_bridge_prior_box_op_bm
subgraph_bridge_box_coder_op_bm
subgraph_bridge_multiclass_nms_op_bm
subgraph_bridge_interpolate_op_bm
subgraph_bridge_yolo_box_op_bm
CACHE INTERNAL
"bm_subgraph_bridges"
)
lite/kernels/bm/bridges/act_op.cc
浏览文件 @
9d88feea
...
...
@@ -13,6 +13,7 @@
// limitations under the License.
#include <bmcompiler_if.h>
#include <bmcompiler_op_code.h>
#include "lite/kernels/bm/bridges/graph.h"
#include "lite/kernels/npu/bridges/registry.h"
...
...
@@ -46,22 +47,38 @@ int ActConverter(void* ctx, OpLite* op, KernelBase* kernel) {
i_output_shape_data
[
i
]
=
static_cast
<
int
>
(
output_shape_data
[
i
]);
}
float
alpha
=
0.
f
;
int
active_type_id
=
0
;
if
(
op_type
==
"relu"
)
{
}
else
if
(
op_type
==
"leaky_relu"
)
{
alpha
=
op_info
->
GetAttr
<
float
>
(
"alpha"
);
}
else
if
(
op_type
==
"sqrt"
)
{
active_type_id
=
ACTIVE_SQRT
;
}
else
if
(
op_type
==
"square"
)
{
active_type_id
=
ACTIVE_SQUARE
;
}
else
{
LOG
(
FATAL
)
<<
"[BM] unsupport act type"
;
return
FAILED
;
}
add_relu_layer
(
graph
->
GetCompilerHandle
(),
const_cast
<
const
int
*>
(
&
i_x_shape_data
[
0
]),
x_dims
.
size
(),
static_cast
<
const
char
*>
(
x_var_name
.
c_str
()),
const_cast
<
const
int
*>
(
&
i_output_shape_data
[
0
]),
output_dims
.
size
(),
static_cast
<
const
char
*>
(
output_var_name
.
c_str
()),
alpha
,
-
1.
f
);
if
(
op_type
==
"relu"
||
op_type
==
"leaky_relu"
)
{
add_relu_layer
(
graph
->
GetCompilerHandle
(),
const_cast
<
const
int
*>
(
&
i_x_shape_data
[
0
]),
x_dims
.
size
(),
static_cast
<
const
char
*>
(
x_var_name
.
c_str
()),
const_cast
<
const
int
*>
(
&
i_output_shape_data
[
0
]),
output_dims
.
size
(),
static_cast
<
const
char
*>
(
output_var_name
.
c_str
()),
alpha
,
-
1.
f
);
}
else
{
add_active_layer
(
graph
->
GetCompilerHandle
(),
const_cast
<
const
int
*>
(
&
i_x_shape_data
[
0
]),
x_dims
.
size
(),
static_cast
<
const
char
*>
(
x_var_name
.
c_str
()),
const_cast
<
const
int
*>
(
&
i_output_shape_data
[
0
]),
output_dims
.
size
(),
static_cast
<
const
char
*>
(
output_var_name
.
c_str
()),
active_type_id
);
}
graph
->
AddNode
(
output_var_name
);
return
SUCCESS
;
}
...
...
@@ -75,3 +92,5 @@ REGISTER_SUBGRAPH_BRIDGE(relu, kBM, paddle::lite::subgraph::bm::ActConverter);
REGISTER_SUBGRAPH_BRIDGE
(
leaky_relu
,
kBM
,
paddle
::
lite
::
subgraph
::
bm
::
ActConverter
);
REGISTER_SUBGRAPH_BRIDGE
(
sqrt
,
kBM
,
paddle
::
lite
::
subgraph
::
bm
::
ActConverter
);
REGISTER_SUBGRAPH_BRIDGE
(
square
,
kBM
,
paddle
::
lite
::
subgraph
::
bm
::
ActConverter
);
lite/kernels/bm/bridges/elementwise_ops.cc
浏览文件 @
9d88feea
...
...
@@ -71,18 +71,14 @@ int ElementwiseConverter(void* ctx, OpLite* op, KernelBase* kernel) {
}
auto
axis
=
op_info
->
GetAttr
<
int
>
(
"axis"
);
int
op_code
{
-
1
};
int
eltwise_if_code
{
-
1
};
float
coeff
[
2
]
=
{
1.
f
,
1.
f
};
if
(
op_type
==
"elementwise_mul"
)
{
op_code
=
BINARY_MUL
;
eltwise_if_code
=
0
;
}
else
if
(
op_type
==
"elementwise_add"
)
{
op_code
=
BINARY_ADD
;
eltwise_if_code
=
1
;
}
else
if
(
op_type
==
"elementwise_sub"
)
{
op_code
=
BINARY_SUB
;
eltwise_if_code
=
1
;
coeff
[
1
]
=
-
1.
f
;
}
else
if
(
op_type
==
"elementwise_div"
)
{
op_code
=
BINARY_DIV
;
}
else
{
LOG
(
FATAL
)
<<
"UNSUPPORTED ELTWISE OPERATION: "
<<
op_type
;
}
...
...
@@ -115,31 +111,21 @@ int ElementwiseConverter(void* ctx, OpLite* op, KernelBase* kernel) {
shape
[
1
]
=
&
i_expand_shape_data
[
0
];
y_data
=
nullptr
;
}
add_binary_layer_v2
(
graph
->
GetCompilerHandle
(),
name
[
0
],
shape
[
0
],
dim
[
0
],
0
,
static_cast
<
const
float
*>
(
x_data
),
name
[
1
],
shape
[
1
],
dim
[
1
],
0
,
static_cast
<
const
float
*>
(
y_data
),
static_cast
<
const
char
*>
(
output_var_name
.
c_str
()),
op_code
);
}
else
{
add_eltwise_layer
(
graph
->
GetCompilerHandle
(),
input_num
,
shape
,
dim
,
name
,
const_cast
<
const
int
*>
(
&
i_output_shape_data
[
0
]),
output_dims
.
size
(),
static_cast
<
const
char
*>
(
output_var_name
.
c_str
()),
eltwise_if_code
,
coeff
);
}
add_binary_layer_v2
(
graph
->
GetCompilerHandle
(),
name
[
0
],
shape
[
0
],
dim
[
0
],
0
,
static_cast
<
const
float
*>
(
x_data
),
name
[
1
],
shape
[
1
],
dim
[
1
],
0
,
static_cast
<
const
float
*>
(
y_data
),
static_cast
<
const
char
*>
(
output_var_name
.
c_str
()),
op_code
);
delete
[]
shape
;
delete
[]
name
;
delete
[]
dim
;
...
...
@@ -161,3 +147,6 @@ REGISTER_SUBGRAPH_BRIDGE(elementwise_mul,
REGISTER_SUBGRAPH_BRIDGE
(
elementwise_sub
,
kBM
,
paddle
::
lite
::
subgraph
::
bm
::
ElementwiseConverter
);
REGISTER_SUBGRAPH_BRIDGE
(
elementwise_div
,
kBM
,
paddle
::
lite
::
subgraph
::
bm
::
ElementwiseConverter
);
lite/kernels/bm/bridges/interpolate_op.cc
0 → 100644
浏览文件 @
9d88feea
// Copyright (c) 2019 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 <bmcompiler_if.h>
#include "lite/kernels/bm/bridges/graph.h"
#include "lite/kernels/npu/bridges/registry.h"
namespace
paddle
{
namespace
lite
{
namespace
subgraph
{
namespace
bm
{
int
InterpolateConverter
(
void
*
ctx
,
OpLite
*
op
,
KernelBase
*
kernel
)
{
CHECK
(
ctx
!=
nullptr
);
CHECK
(
op
!=
nullptr
);
auto
graph
=
static_cast
<
Graph
*>
(
ctx
);
auto
scope
=
op
->
scope
();
auto
op_info
=
op
->
op_info
();
auto
op_type
=
op_info
->
Type
();
auto
x_var_name
=
op_info
->
Input
(
"X"
).
front
();
auto
x
=
scope
->
FindVar
(
x_var_name
)
->
GetMutable
<
lite
::
Tensor
>
();
auto
x_dims
=
x
->
dims
();
std
::
vector
<
int32_t
>
i_x_shape_data
(
x_dims
.
size
());
for
(
size_t
i
=
0
;
i
<
x_dims
.
size
();
i
++
)
{
i_x_shape_data
[
i
]
=
static_cast
<
int32_t
>
(
x_dims
[
i
]);
}
auto
output_var_name
=
op_info
->
Output
(
"Out"
).
front
();
auto
output
=
scope
->
FindVar
(
output_var_name
)
->
GetMutable
<
lite
::
Tensor
>
();
auto
output_dims
=
output
->
dims
();
std
::
vector
<
int32_t
>
i_output_shape_data
(
output_dims
.
size
());
for
(
size_t
i
=
0
;
i
<
output_dims
.
size
();
i
++
)
{
i_output_shape_data
[
i
]
=
static_cast
<
int32_t
>
(
output_dims
[
i
]);
}
auto
scale
=
op_info
->
GetAttr
<
float
>
(
"scale"
);
int32_t
i_scale
=
static_cast
<
int32_t
>
(
scale
);
bool
is_int
=
false
;
if
((
scale
-
i_scale
)
<
0.000001
f
)
{
is_int
=
true
;
}
int32_t
type
=
0
;
if
(
op_type
==
"nearest_interp"
)
{
type
=
2
;
}
else
{
type
=
0
;
}
if
(
type
==
2
&&
is_int
)
{
add_upsample_layer
(
graph
->
GetCompilerHandle
(),
const_cast
<
const
int
*>
(
&
i_x_shape_data
[
0
]),
x_dims
.
size
(),
static_cast
<
const
char
*>
(
x_var_name
.
c_str
()),
const_cast
<
const
int
*>
(
&
i_output_shape_data
[
0
]),
output_dims
.
size
(),
static_cast
<
const
char
*>
(
output_var_name
.
c_str
()),
i_scale
);
}
else
{
add_interp_layer_v2
(
graph
->
GetCompilerHandle
(),
const_cast
<
const
int
*>
(
&
i_x_shape_data
[
0
]),
x_dims
.
size
(),
static_cast
<
const
char
*>
(
x_var_name
.
c_str
()),
1
,
const_cast
<
const
int
*>
(
&
i_output_shape_data
[
0
]),
output_dims
.
size
(),
nullptr
,
static_cast
<
const
char
*>
(
output_var_name
.
c_str
()),
0
,
0
,
type
);
}
graph
->
AddNode
(
output_var_name
);
return
SUCCESS
;
}
}
// namespace bm
}
// namespace subgraph
}
// namespace lite
}
// namespace paddle
REGISTER_SUBGRAPH_BRIDGE
(
nearest_interp
,
kBM
,
paddle
::
lite
::
subgraph
::
bm
::
InterpolateConverter
);
REGISTER_SUBGRAPH_BRIDGE
(
bilinear_interp
,
kBM
,
paddle
::
lite
::
subgraph
::
bm
::
InterpolateConverter
);
lite/kernels/bm/bridges/paddle_use_bridges.h
浏览文件 @
9d88feea
...
...
@@ -21,6 +21,7 @@ USE_SUBGRAPH_BRIDGE(depthwise_conv2d, kBM);
USE_SUBGRAPH_BRIDGE
(
elementwise_add
,
kBM
);
USE_SUBGRAPH_BRIDGE
(
elementwise_mul
,
kBM
);
USE_SUBGRAPH_BRIDGE
(
elementwise_sub
,
kBM
);
USE_SUBGRAPH_BRIDGE
(
elementwise_div
,
kBM
);
USE_SUBGRAPH_BRIDGE
(
pool2d
,
kBM
);
USE_SUBGRAPH_BRIDGE
(
softmax
,
kBM
);
USE_SUBGRAPH_BRIDGE
(
mul
,
kBM
);
...
...
@@ -38,3 +39,8 @@ USE_SUBGRAPH_BRIDGE(norm, kBM);
USE_SUBGRAPH_BRIDGE
(
prior_box
,
kBM
);
USE_SUBGRAPH_BRIDGE
(
box_coder
,
kBM
);
USE_SUBGRAPH_BRIDGE
(
multiclass_nms
,
kBM
);
USE_SUBGRAPH_BRIDGE
(
nearest_interp
,
kBM
);
USE_SUBGRAPH_BRIDGE
(
bilinear_interp
,
kBM
);
USE_SUBGRAPH_BRIDGE
(
yolo_box
,
kBM
);
USE_SUBGRAPH_BRIDGE
(
sqrt
,
kBM
);
USE_SUBGRAPH_BRIDGE
(
square
,
kBM
);
lite/kernels/bm/bridges/yolo_box_op.cc
0 → 100644
浏览文件 @
9d88feea
// Copyright (c) 2019 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 <bmcompiler_if.h>
#include <user_bmcpu_common.h>
#include <iostream>
#include <string>
#include <vector>
#include "lite/kernels/bm/bridges/graph.h"
#include "lite/kernels/bm/bridges/utility.h"
#include "lite/kernels/npu/bridges/registry.h"
namespace
paddle
{
namespace
lite
{
namespace
subgraph
{
namespace
bm
{
int
YoloBoxConverter
(
void
*
ctx
,
OpLite
*
op
,
KernelBase
*
kernel
)
{
CHECK
(
ctx
!=
nullptr
);
CHECK
(
op
!=
nullptr
);
auto
graph
=
static_cast
<
Graph
*>
(
ctx
);
auto
scope
=
op
->
scope
();
auto
op_info
=
op
->
op_info
();
auto
op_type
=
op_info
->
Type
();
auto
x_var_name
=
op_info
->
Input
(
"X"
).
front
();
auto
x
=
scope
->
FindVar
(
x_var_name
)
->
GetMutable
<
lite
::
Tensor
>
();
auto
x_dims
=
x
->
dims
();
auto
img_size_var_name
=
op_info
->
Input
(
"ImgSize"
).
front
();
auto
img_size
=
scope
->
FindVar
(
img_size_var_name
)
->
GetMutable
<
lite
::
Tensor
>
();
auto
img_size_dims
=
img_size
->
dims
();
auto
boxes_var_name
=
op_info
->
Output
(
"Boxes"
).
front
();
auto
boxes
=
scope
->
FindVar
(
boxes_var_name
)
->
GetMutable
<
lite
::
Tensor
>
();
auto
boxes_dims
=
boxes
->
dims
();
auto
scores_var_name
=
op_info
->
Output
(
"Scores"
).
front
();
auto
scores
=
scope
->
FindVar
(
scores_var_name
)
->
GetMutable
<
lite
::
Tensor
>
();
auto
scores_dims
=
scores
->
dims
();
std
::
vector
<
int32_t
>
i_x_shape_data
(
x_dims
.
size
());
for
(
size_t
i
=
0
;
i
<
x_dims
.
size
();
i
++
)
{
i_x_shape_data
[
i
]
=
static_cast
<
int32_t
>
(
x_dims
[
i
]);
}
std
::
vector
<
int32_t
>
i_img_size_shape_data
(
img_size_dims
.
size
());
for
(
size_t
i
=
0
;
i
<
img_size_dims
.
size
();
i
++
)
{
i_img_size_shape_data
[
i
]
=
static_cast
<
int32_t
>
(
img_size_dims
[
i
]);
}
std
::
vector
<
int32_t
>
i_boxes_shape_data
(
boxes_dims
.
size
());
for
(
size_t
i
=
0
;
i
<
boxes_dims
.
size
();
i
++
)
{
i_boxes_shape_data
[
i
]
=
static_cast
<
int32_t
>
(
boxes_dims
[
i
]);
}
std
::
vector
<
int32_t
>
i_scores_shape_data
(
scores_dims
.
size
());
for
(
size_t
i
=
0
;
i
<
scores_dims
.
size
();
i
++
)
{
i_scores_shape_data
[
i
]
=
static_cast
<
int32_t
>
(
scores_dims
[
i
]);
}
auto
class_num
=
op_info
->
GetAttr
<
int
>
(
"class_num"
);
auto
downsample_ratio
=
op_info
->
GetAttr
<
int
>
(
"downsample_ratio"
);
auto
conf_thresh
=
op_info
->
GetAttr
<
float
>
(
"conf_thresh"
);
auto
anchors
=
op_info
->
GetAttr
<
std
::
vector
<
int
>>
(
"anchors"
);
int
*
anchors_buffer
=
static_cast
<
int
*>
(
malloc
(
sizeof
(
int
)
*
anchors
.
size
()));
CHECK
(
anchors_buffer
!=
nullptr
);
memcpy
(
anchors_buffer
,
&
anchors
[
0
],
sizeof
(
int
)
*
anchors
.
size
());
user_cpu_param_t
bm_param
;
bm_param
.
op_type
=
USER_PADDLE_YOLO_BOX
;
bm_param
.
u
.
yolo_box_param
.
class_num
=
class_num
;
bm_param
.
u
.
yolo_box_param
.
downsample_ratio
=
downsample_ratio
;
bm_param
.
u
.
yolo_box_param
.
conf_thresh
=
conf_thresh
;
bm_param
.
u
.
yolo_box_param
.
anchors
=
anchors_buffer
;
bm_param
.
u
.
yolo_box_param
.
anchors_size
=
anchors
.
size
();
memcpy
(
anchors_buffer
,
&
anchors
[
0
],
sizeof
(
int
)
*
anchors
.
size
());
int32_t
input_num
=
2
;
int32_t
output_num
=
2
;
int32_t
*
in_shape
[
2
];
int32_t
in_dim
[
2
];
const
char
*
in_name
[
2
];
in_shape
[
0
]
=
&
i_x_shape_data
[
0
];
in_shape
[
1
]
=
&
i_img_size_shape_data
[
0
];
in_dim
[
0
]
=
x_dims
.
size
();
in_dim
[
1
]
=
img_size_dims
.
size
();
in_name
[
0
]
=
static_cast
<
const
char
*>
(
x_var_name
.
c_str
());
in_name
[
1
]
=
static_cast
<
const
char
*>
(
img_size_var_name
.
c_str
());
int32_t
*
out_shape
[
2
];
int32_t
out_dim
[
2
];
const
char
*
out_name
[
2
];
out_shape
[
0
]
=
&
i_boxes_shape_data
[
0
];
out_shape
[
1
]
=
&
i_scores_shape_data
[
0
];
out_dim
[
0
]
=
boxes_dims
.
size
();
out_dim
[
1
]
=
scores_dims
.
size
();
out_name
[
0
]
=
static_cast
<
const
char
*>
(
boxes_var_name
.
c_str
());
out_name
[
1
]
=
static_cast
<
const
char
*>
(
scores_var_name
.
c_str
());
add_user_cpu_layer
(
graph
->
GetCompilerHandle
(),
input_num
,
in_shape
,
in_dim
,
in_name
,
output_num
,
out_shape
,
out_dim
,
out_name
,
&
bm_param
,
static_cast
<
int
>
(
sizeof
(
bm_param
)));
graph
->
AddNode
(
boxes_var_name
);
graph
->
AddNode
(
scores_var_name
);
return
SUCCESS
;
}
}
// namespace bm
}
// namespace subgraph
}
// namespace lite
}
// namespace paddle
REGISTER_SUBGRAPH_BRIDGE
(
yolo_box
,
kBM
,
paddle
::
lite
::
subgraph
::
bm
::
YoloBoxConverter
);
lite/kernels/bm/subgraph_compute.cc
浏览文件 @
9d88feea
...
...
@@ -34,6 +34,7 @@ int SubgraphEngine::BuildDeviceProgram() {
const
auto
&
bridges
=
subgraph
::
Registry
::
Instance
();
graph
.
CreateCompilerHandle
();
auto
&
ctx
=
this
->
ctx_
->
template
As
<
BMContext
>();
int
kk
=
0
;
for
(
auto
&
inst
:
origin_program_
)
{
auto
op
=
inst
.
op
();
CHECK
(
op
);
...
...
@@ -52,7 +53,7 @@ int SubgraphEngine::BuildDeviceProgram() {
return
subgraph
::
FAILED
;
}
}
std
::
string
net_name
=
"
paddle_bitmain
"
;
std
::
string
net_name
=
"
bmnetc_f32umodel
"
;
__bmcompile_opt
(
graph
.
GetCompilerHandle
(),
const_cast
<
char
*>
(
net_name
.
c_str
()),
1
);
void
*
bmodel_data
=
nullptr
;
...
...
@@ -71,7 +72,7 @@ int SubgraphEngine::BuildDeviceProgram() {
origin_itensors_
.
resize
(
input_names_
.
size
());
device_inputs_
.
resize
(
input_names_
.
size
());
for
(
size_t
i
=
0
;
i
<
input_names_
.
size
();
i
++
)
{
origin_itensors_
[
i
]
=
scope_
->
FindMutableTensor
(
input_names_
[
i
]);
origin_itensors_
[
i
]
=
scope_
->
FindMutableTensor
(
net_info_
->
input_names
[
i
]);
CHECK
(
origin_itensors_
[
i
]);
origin_idims_
[
i
]
=
origin_itensors_
[
i
]
->
dims
();
bm_device_mem_t
*
p_mem
=
...
...
@@ -90,19 +91,15 @@ int SubgraphEngine::BuildDeviceProgram() {
origin_otensors_
.
resize
(
output_names_
.
size
());
device_outputs_
.
resize
(
output_names_
.
size
());
for
(
size_t
i
=
0
;
i
<
output_names_
.
size
();
i
++
)
{
origin_otensors_
[
i
]
=
scope_
->
FindMutableTensor
(
output_names_
[
i
]);
origin_otensors_
[
i
]
=
scope_
->
FindMutableTensor
(
net_info_
->
output_names
[
i
]);
CHECK
(
origin_otensors_
[
i
]);
origin_odims_
[
i
]
=
origin_otensors_
[
i
]
->
dims
();
output_map_
.
insert
(
std
::
pair
<
std
::
string
,
int
>
(
output_names_
[
i
],
i
));
origin_otensors_
[
i
]
->
mutable_data
<
float
>
();
}
for
(
size_t
i
=
0
;
i
<
output_names_
.
size
();
i
++
)
{
int
mapping_index
=
output_map_
.
at
(
net_info_
->
output_names
[
i
]);
bm_device_mem_t
*
p_mem
=
static_cast
<
bm_device_mem_t
*>
(
malloc
(
sizeof
(
bm_device_mem_t
)));
CHECK
(
p_mem
!=
nullptr
);
CHECK_EQ
(
bm_malloc_device_byte
(
bm_hd_
,
p_mem
,
origin_otensors_
[
mapping_index
]
->
memory_size
()),
bm_hd_
,
p_mem
,
origin_otensors_
[
i
]
->
memory_size
()),
BM_SUCCESS
);
bmrt_tensor_with_device
(
&
device_outputs_
[
i
],
*
p_mem
,
...
...
lite/kernels/bm/subgraph_compute.h
浏览文件 @
9d88feea
...
...
@@ -51,7 +51,6 @@ class SubgraphEngine : public subgraph::Engine {
void
*
bmrt_hd_
;
std
::
vector
<
bm_tensor_t
>
device_inputs_
;
std
::
vector
<
bm_tensor_t
>
device_outputs_
;
std
::
map
<
std
::
string
,
int
>
output_map_
;
const
char
**
net_names_
;
const
bm_net_info_t
*
net_info_
;
bm_handle_t
bm_hd_
;
...
...
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