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体验新版 GitCode,发现更多精彩内容 >>
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d46a140d
编写于
12月 25, 2018
作者:
T
tensor-tang
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差异文件
add seq pool inference test
test=develop
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d4931a2a
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2
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2 changed file
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and
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-0
paddle/fluid/inference/tests/api/CMakeLists.txt
paddle/fluid/inference/tests/api/CMakeLists.txt
+4
-0
paddle/fluid/inference/tests/api/analyzer_seq_pool1_tester.cc
...le/fluid/inference/tests/api/analyzer_seq_pool1_tester.cc
+117
-0
未找到文件。
paddle/fluid/inference/tests/api/CMakeLists.txt
浏览文件 @
d46a140d
...
...
@@ -108,6 +108,10 @@ inference_analysis_api_test_with_refer_result(test_analyzer_mobilenet_transpose
inference_analysis_api_test_with_fake_data
(
test_analyzer_resnet50
"
${
INFERENCE_DEMO_INSTALL_DIR
}
/resnet50"
analyzer_resnet50_tester.cc
"resnet50_model.tar.gz"
)
# seq_pool1
inference_analysis_api_test_with_fake_data
(
test_analyzer_seq_pool1
"
${
INFERENCE_DEMO_INSTALL_DIR
}
/seq_pool1"
analyzer_seq_pool1_tester.cc
"seq_pool1.tar.gz"
)
# mobilenet with depthwise_conv op
inference_analysis_api_test_with_fake_data
(
test_analyzer_mobilenet_depthwise_conv
"
${
INFERENCE_DEMO_INSTALL_DIR
}
/mobilenet_depthwise_conv"
analyzer_resnet50_tester.cc
"mobilenet_model.tar.gz"
)
...
...
paddle/fluid/inference/tests/api/analyzer_seq_pool1_tester.cc
0 → 100644
浏览文件 @
d46a140d
/* 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. */
#include <fstream>
#include <iostream>
#include "paddle/fluid/inference/tests/api/tester_helper.h"
namespace
paddle
{
namespace
inference
{
namespace
analysis
{
void
SetConfig
(
AnalysisConfig
*
cfg
)
{
cfg
->
param_file
=
FLAGS_infer_model
+
"/params"
;
cfg
->
prog_file
=
FLAGS_infer_model
+
"/model"
;
cfg
->
use_gpu
=
false
;
cfg
->
device
=
0
;
cfg
->
enable_ir_optim
=
true
;
cfg
->
specify_input_name
=
true
;
cfg
->
SetCpuMathLibraryNumThreads
(
FLAGS_paddle_num_threads
);
}
void
SetInput
(
std
::
vector
<
std
::
vector
<
PaddleTensor
>>
*
inputs
)
{
std
::
vector
<
std
::
string
>
feed_names
=
{
"slot10000_embed"
,
"slot10001_embed"
,
"slot10004_embed"
,
"slot10005_embed"
,
"slot10008_embed"
,
"slot10009_embed"
,
"slot10012_embed"
,
"slot10013_embed"
,
"slot10108_embed"
,
"slot13324_embed"
,
"slot13325_embed"
,
"slot13326_embed"
,
"slot13327_embed"
,
"slot13328_embed"
,
"slot13329_embed"
,
"slot13330_embed"
,
"slot13331_embed"
,
"slot15501_embed"
,
"slot15502_embed"
,
"slot15503_embed"
,
"slot15504_embed"
,
"slot15505_embed"
,
"slot15506_embed"
,
"slot15507_embed"
,
"slot15508_embed"
,
"slot15516_embed"
,
"slot15519_embed"
,
"slot15523_embed"
,
"slot15531_embed"
,
"slot15533_embed"
,
"slot15548_embed"
,
"slot15564_embed"
,
"slot15565_embed"
,
"slot15566_embed"
,
"slot15570_embed"
,
"slot15571_embed"
,
"slot15572_embed"
,
"slot15573_embed"
,
"slot15574_embed"
,
"slot15575_embed"
,
"slot15576_embed"
,
"slot15577_embed"
,
"slot15579_embed"
,
"slot15581_embed"
,
"slot15582_embed"
,
"slot15583_embed"
,
"slot15584_embed"
,
"slot5016_embed"
,
"slot5021_embed"
,
"slot6002_embed"
,
"slot6003_embed"
,
"slot6004_embed"
,
"slot6005_embed"
,
"slot6006_embed"
,
"slot6007_embed"
,
"slot6008_embed"
,
"slot6009_embed"
,
"slot6011_embed"
,
"slot6014_embed"
,
"slot6015_embed"
,
"slot6023_embed"
,
"slot6024_embed"
,
"slot6025_embed"
,
"slot6027_embed"
,
"slot6029_embed"
,
"slot6031_embed"
,
"slot6034_embed"
,
"slot6035_embed"
,
"slot6036_embed"
,
"slot6037_embed"
,
"slot6039_embed"
,
"slot6048_embed"
,
"slot6050_embed"
,
"slot6058_embed"
,
"slot6059_embed"
,
"slot6060_embed"
,
"slot6066_embed"
,
"slot6067_embed"
,
"slot6068_embed"
,
"slot6069_embed"
,
"slot6070_embed"
,
"slot6071_embed"
,
"slot6072_embed"
,
"slot6073_embed"
,
"slot6182_embed"
,
"slot6183_embed"
,
"slot6184_embed"
,
"slot6185_embed"
,
"slot6186_embed"
,
"slot6188_embed"
,
"slot6189_embed"
,
"slot6190_embed"
,
"slot6201_embed"
,
"slot6202_embed"
,
"slot6203_embed"
,
"slot6247_embed"
,
"slot6248_embed"
,
"slot6250_embed"
,
"slot6251_embed"
,
"slot6807_embed"
,
"slot6808_embed"
,
"slot6809_embed"
,
"slot6810_embed"
,
"slot6811_embed"
,
"slot6812_embed"
,
"slot6813_embed"
,
"slot6814_embed"
,
"slot6815_embed"
,
"slot6816_embed"
,
"slot6817_embed"
,
"slot6818_embed"
,
"slot6819_embed"
,
"slot6820_embed"
,
"slot6822_embed"
,
"slot6823_embed"
,
"slot6826_embed"
,
"slot7002_embed"
,
"slot7003_embed"
,
"slot7004_embed"
,
"slot7005_embed"
,
"slot7006_embed"
,
"slot7008_embed"
,
"slot7009_embed"
,
"slot7010_embed"
,
"slot7011_embed"
,
"slot7013_embed"
,
"slot7014_embed"
,
"slot7015_embed"
,
"slot7016_embed"
,
"slot7017_embed"
,
"slot7019_embed"
,
"slot7100_embed"
,
"slot7506_embed"
,
"slot7507_embed"
,
"slot7514_embed"
,
"slot7515_embed"
,
"slot7516_embed"
};
SetFakeImageInput
(
inputs
,
FLAGS_infer_model
,
true
,
"model"
,
"params"
,
&
feed_names
);
}
// Easy for profiling independently.
void
profile
(
bool
use_mkldnn
=
false
)
{
AnalysisConfig
cfg
;
SetConfig
(
&
cfg
);
if
(
use_mkldnn
)
{
cfg
.
EnableMKLDNN
();
}
std
::
vector
<
PaddleTensor
>
outputs
;
std
::
vector
<
std
::
vector
<
PaddleTensor
>>
input_slots_all
;
SetInput
(
&
input_slots_all
);
TestPrediction
(
reinterpret_cast
<
const
PaddlePredictor
::
Config
*>
(
&
cfg
),
input_slots_all
,
&
outputs
,
FLAGS_num_threads
);
}
TEST
(
Analyzer_seq_pool1
,
profile
)
{
profile
();
}
// Check the fuse status
TEST
(
Analyzer_seq_pool1
,
fuse_statis
)
{
AnalysisConfig
cfg
;
SetConfig
(
&
cfg
);
int
num_ops
;
auto
predictor
=
CreatePaddlePredictor
<
AnalysisConfig
>
(
cfg
);
auto
fuse_statis
=
GetFuseStatis
(
static_cast
<
AnalysisPredictor
*>
(
predictor
.
get
()),
&
num_ops
);
LOG
(
INFO
)
<<
"num_ops: "
<<
num_ops
;
EXPECT_EQ
(
num_ops
,
314
);
}
}
// namespace analysis
}
// namespace inference
}
// namespace paddle
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