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050a68dd
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050a68dd
编写于
12月 17, 2018
作者:
N
nhzlx
浏览文件
操作
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电子邮件补丁
差异文件
fix comments
test=develop
上级
fcc93d96
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
0 addition
and
6 deletion
+0
-6
paddle/fluid/inference/analysis/ir_passes/tensorrt_subgraph_pass.cc
...id/inference/analysis/ir_passes/tensorrt_subgraph_pass.cc
+0
-3
paddle/fluid/operators/tensorrt/tensorrt_engine_op.cc
paddle/fluid/operators/tensorrt/tensorrt_engine_op.cc
+0
-1
paddle/fluid/operators/tensorrt/tensorrt_engine_op.h
paddle/fluid/operators/tensorrt/tensorrt_engine_op.h
+0
-2
未找到文件。
paddle/fluid/inference/analysis/ir_passes/tensorrt_subgraph_pass.cc
浏览文件 @
050a68dd
...
@@ -63,7 +63,6 @@ std::unique_ptr<framework::ir::Graph> analysis::TensorRtSubgraphPass::ApplyImpl(
...
@@ -63,7 +63,6 @@ std::unique_ptr<framework::ir::Graph> analysis::TensorRtSubgraphPass::ApplyImpl(
void
TensorRtSubgraphPass
::
CreateTensorRTOp
(
framework
::
ir
::
Node
*
node
,
void
TensorRtSubgraphPass
::
CreateTensorRTOp
(
framework
::
ir
::
Node
*
node
,
Graph
*
graph
)
const
{
Graph
*
graph
)
const
{
auto
*
op_desc
=
node
->
Op
();
auto
*
op_desc
=
node
->
Op
();
static
int
counter
{
0
};
auto
&
subgraph
=
*
Agent
(
node
).
subgraph
();
auto
&
subgraph
=
*
Agent
(
node
).
subgraph
();
PADDLE_ENFORCE
(
!
subgraph
.
empty
());
PADDLE_ENFORCE
(
!
subgraph
.
empty
());
...
@@ -192,8 +191,6 @@ void TensorRtSubgraphPass::CreateTensorRTOp(framework::ir::Node *node,
...
@@ -192,8 +191,6 @@ void TensorRtSubgraphPass::CreateTensorRTOp(framework::ir::Node *node,
block_desc
.
Proto
()
->
SerializeAsString
());
block_desc
.
Proto
()
->
SerializeAsString
());
SetAttr
(
op_desc
->
Proto
(),
"max_batch_size"
,
Get
<
int
>
(
"max_batch_size"
));
SetAttr
(
op_desc
->
Proto
(),
"max_batch_size"
,
Get
<
int
>
(
"max_batch_size"
));
SetAttr
(
op_desc
->
Proto
(),
"workspace_size"
,
Get
<
int
>
(
"workspace_size"
));
SetAttr
(
op_desc
->
Proto
(),
"workspace_size"
,
Get
<
int
>
(
"workspace_size"
));
SetAttr
(
op_desc
->
Proto
(),
"engine_uniq_key"
,
"trt-"
+
std
::
to_string
(
counter
++
));
SetAttr
(
op_desc
->
Proto
(),
"parameters"
,
ExtractParameters
(
graph
->
Nodes
()));
SetAttr
(
op_desc
->
Proto
(),
"parameters"
,
ExtractParameters
(
graph
->
Nodes
()));
SetAttr
(
op_desc
->
Proto
(),
"output_name_mapping"
,
output_mapping
);
SetAttr
(
op_desc
->
Proto
(),
"output_name_mapping"
,
output_mapping
);
}
}
...
...
paddle/fluid/operators/tensorrt/tensorrt_engine_op.cc
浏览文件 @
050a68dd
...
@@ -29,7 +29,6 @@ class TensorRTEngineOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -29,7 +29,6 @@ class TensorRTEngineOpMaker : public framework::OpProtoAndCheckerMaker {
AddInput
(
"Xs"
,
"A list of inputs."
).
AsDuplicable
();
AddInput
(
"Xs"
,
"A list of inputs."
).
AsDuplicable
();
AddOutput
(
"Ys"
,
"A list of outputs"
).
AsDuplicable
();
AddOutput
(
"Ys"
,
"A list of outputs"
).
AsDuplicable
();
AddAttr
<
std
::
string
>
(
"subgraph"
,
"the subgraph."
);
AddAttr
<
std
::
string
>
(
"subgraph"
,
"the subgraph."
);
AddAttr
<
std
::
string
>
(
"engine_uniq_key"
,
"unique key for the TRT engine."
);
AddAttr
<
int
>
(
"max_batch_size"
,
"the maximum batch size."
);
AddAttr
<
int
>
(
"max_batch_size"
,
"the maximum batch size."
);
AddAttr
<
int
>
(
"workspace_size"
,
"the workspace size."
);
AddAttr
<
int
>
(
"workspace_size"
,
"the workspace size."
);
AddComment
(
"TensorRT engine operator."
);
AddComment
(
"TensorRT engine operator."
);
...
...
paddle/fluid/operators/tensorrt/tensorrt_engine_op.h
浏览文件 @
050a68dd
...
@@ -65,7 +65,6 @@ using inference::tensorrt::TensorRTEngine;
...
@@ -65,7 +65,6 @@ using inference::tensorrt::TensorRTEngine;
class
TensorRTEngineOp
:
public
framework
::
OperatorBase
{
class
TensorRTEngineOp
:
public
framework
::
OperatorBase
{
private:
private:
std
::
string
engine_name_
;
std
::
vector
<
std
::
string
>
input_names_
;
std
::
vector
<
std
::
string
>
input_names_
;
std
::
unordered_set
<
std
::
string
>
param_names_
;
std
::
unordered_set
<
std
::
string
>
param_names_
;
mutable
std
::
unique_ptr
<
TensorRTEngine
>
trt_engine_
;
mutable
std
::
unique_ptr
<
TensorRTEngine
>
trt_engine_
;
...
@@ -78,7 +77,6 @@ class TensorRTEngineOp : public framework::OperatorBase {
...
@@ -78,7 +77,6 @@ class TensorRTEngineOp : public framework::OperatorBase {
const
framework
::
VariableNameMap
&
outputs
,
const
framework
::
VariableNameMap
&
outputs
,
const
framework
::
AttributeMap
&
attrs
)
const
framework
::
AttributeMap
&
attrs
)
:
framework
::
OperatorBase
(
type
,
inputs
,
outputs
,
attrs
)
{
:
framework
::
OperatorBase
(
type
,
inputs
,
outputs
,
attrs
)
{
engine_name_
=
Attr
<
std
::
string
>
(
"engine_uniq_key"
);
input_names_
=
Inputs
(
"Xs"
);
input_names_
=
Inputs
(
"Xs"
);
max_batch_size_
=
Attr
<
int
>
(
"max_batch_size"
);
max_batch_size_
=
Attr
<
int
>
(
"max_batch_size"
);
workspace_size_
=
Attr
<
int
>
(
"workspace_size"
);
workspace_size_
=
Attr
<
int
>
(
"workspace_size"
);
...
...
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