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体验新版 GitCode,发现更多精彩内容 >>
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72c370c8
编写于
5月 12, 2020
作者:
T
Tao Luo
提交者:
GitHub
5月 12, 2020
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差异文件
remove unused test_multi_thread_helper.h (#24399)
test=develop
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123255cf
变更
2
隐藏空白更改
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2 changed file
with
2 addition
and
90 deletion
+2
-90
paddle/fluid/inference/api/paddle_analysis_config.h
paddle/fluid/inference/api/paddle_analysis_config.h
+2
-0
paddle/fluid/inference/tests/test_multi_thread_helper.h
paddle/fluid/inference/tests/test_multi_thread_helper.h
+0
-90
未找到文件。
paddle/fluid/inference/api/paddle_analysis_config.h
浏览文件 @
72c370c8
...
...
@@ -347,6 +347,8 @@ struct AnalysisConfig {
///
/// \brief Set the cache capacity of different input shapes for MKLDNN.
/// Default value 0 means not caching any shape.
/// Please see MKL-DNN Data Caching Design Document:
/// https://github.com/PaddlePaddle/FluidDoc/blob/develop/doc/fluid/design/mkldnn/caching/caching.md
///
/// \param capacity The cache capacity.
///
...
...
paddle/fluid/inference/tests/test_multi_thread_helper.h
已删除
100644 → 0
浏览文件 @
123255cf
/* Copyright (c) 2018 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. */
#pragma once
#include <map>
#include <string>
#include <thread> // NOLINT
#include <vector>
#include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/inference/io.h"
void
ThreadedRunInference
(
const
std
::
unique_ptr
<
paddle
::
framework
::
ProgramDesc
>&
inference_program
,
paddle
::
framework
::
Executor
*
executor
,
paddle
::
framework
::
Scope
*
scope
,
const
int
thread_id
,
const
std
::
vector
<
paddle
::
framework
::
LoDTensor
*>&
cpu_feeds
,
const
std
::
vector
<
paddle
::
framework
::
LoDTensor
*>&
cpu_fetchs
)
{
auto
copy_program
=
std
::
unique_ptr
<
paddle
::
framework
::
ProgramDesc
>
(
new
paddle
::
framework
::
ProgramDesc
(
*
inference_program
));
std
::
string
feed_holder_name
=
"feed_"
+
paddle
::
string
::
to_string
(
thread_id
);
std
::
string
fetch_holder_name
=
"fetch_"
+
paddle
::
string
::
to_string
(
thread_id
);
copy_program
->
SetFeedHolderName
(
feed_holder_name
);
copy_program
->
SetFetchHolderName
(
fetch_holder_name
);
// 3. Get the feed_target_names and fetch_target_names
const
std
::
vector
<
std
::
string
>&
feed_target_names
=
copy_program
->
GetFeedTargetNames
();
const
std
::
vector
<
std
::
string
>&
fetch_target_names
=
copy_program
->
GetFetchTargetNames
();
// 4. Prepare inputs: set up maps for feed targets
std
::
map
<
std
::
string
,
const
paddle
::
framework
::
LoDTensor
*>
feed_targets
;
for
(
size_t
i
=
0
;
i
<
feed_target_names
.
size
();
++
i
)
{
// Please make sure that cpu_feeds[i] is right for feed_target_names[i]
feed_targets
[
feed_target_names
[
i
]]
=
cpu_feeds
[
i
];
}
// 5. Define Tensor to get the outputs: set up maps for fetch targets
std
::
map
<
std
::
string
,
paddle
::
framework
::
LoDTensor
*>
fetch_targets
;
for
(
size_t
i
=
0
;
i
<
fetch_target_names
.
size
();
++
i
)
{
fetch_targets
[
fetch_target_names
[
i
]]
=
cpu_fetchs
[
i
];
}
// 6. Run the inference program
executor
->
Run
(
*
copy_program
,
scope
,
feed_targets
,
fetch_targets
,
true
,
feed_holder_name
,
fetch_holder_name
);
}
template
<
typename
Place
>
void
TestMultiThreadInference
(
const
std
::
string
&
dirname
,
const
std
::
vector
<
std
::
vector
<
paddle
::
framework
::
LoDTensor
*>>&
cpu_feeds
,
const
std
::
vector
<
std
::
vector
<
paddle
::
framework
::
LoDTensor
*>>&
cpu_fetchs
,
const
int
num_threads
)
{
// 1. Define place, executor, scope
auto
place
=
Place
();
auto
executor
=
paddle
::
framework
::
Executor
(
place
);
auto
*
scope
=
new
paddle
::
framework
::
Scope
();
// 2. Initialize the inference_program and load parameters
std
::
unique_ptr
<
paddle
::
framework
::
ProgramDesc
>
inference_program
=
paddle
::
inference
::
Load
(
executor
,
*
scope
,
dirname
);
std
::
vector
<
std
::
thread
*>
threads
;
for
(
int
i
=
0
;
i
<
num_threads
;
++
i
)
{
threads
.
push_back
(
new
std
::
thread
(
ThreadedRunInference
,
std
::
ref
(
inference_program
),
&
executor
,
scope
,
i
,
std
::
ref
(
cpu_feeds
[
i
]),
std
::
ref
(
cpu_fetchs
[
i
])));
}
for
(
int
i
=
0
;
i
<
num_threads
;
++
i
)
{
threads
[
i
]
->
join
();
delete
threads
[
i
];
}
delete
scope
;
}
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