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1dcd6ee5
编写于
9月 28, 2018
作者:
T
Tao Luo
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add resnet50 inference UT
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643b6faa
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2
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+100
-0
paddle/fluid/inference/tests/api/CMakeLists.txt
paddle/fluid/inference/tests/api/CMakeLists.txt
+8
-0
paddle/fluid/inference/tests/api/analyzer_resnet50_tester.cc
paddle/fluid/inference/tests/api/analyzer_resnet50_tester.cc
+92
-0
未找到文件。
paddle/fluid/inference/tests/api/CMakeLists.txt
浏览文件 @
1dcd6ee5
...
...
@@ -70,6 +70,14 @@ if (NOT EXISTS ${OCR_INSTALL_DIR})
endif
()
inference_analysis_api_test
(
test_analyzer_ocr
${
OCR_INSTALL_DIR
}
analyzer_vis_tester.cc
)
# resnet50
set
(
RESNET50_INSTALL_DIR
"
${
INFERENCE_DEMO_INSTALL_DIR
}
/resnet50"
)
if
(
NOT EXISTS
${
RESNET50_INSTALL_DIR
}
)
inference_download_and_uncompress
(
${
RESNET50_INSTALL_DIR
}
${
INFERENCE_URL
}
"resnet50_model.tar.gz"
)
endif
()
inference_analysis_test
(
test_analyzer_resnet50 SRCS analyzer_resnet50_tester.cc
EXTRA_DEPS
${
INFERENCE_EXTRA_DEPS
}
ARGS --infer_model=
${
RESNET50_INSTALL_DIR
}
/model
)
# anakin
if
(
WITH_ANAKIN AND WITH_MKL
)
# only needed in CI
# anakin rnn1
...
...
paddle/fluid/inference/tests/api/analyzer_resnet50_tester.cc
0 → 100644
浏览文件 @
1dcd6ee5
/* 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
;
}
void
SetInput
(
std
::
vector
<
std
::
vector
<
PaddleTensor
>>
*
inputs
)
{
PADDLE_ENFORCE_EQ
(
FLAGS_test_all_data
,
0
,
"Only have single batch of data."
);
PaddleTensor
input
;
// channel=3, height/width=318
std
::
vector
<
int
>
shape
({
FLAGS_batch_size
,
3
,
318
,
318
});
input
.
shape
=
shape
;
input
.
dtype
=
PaddleDType
::
FLOAT32
;
// fill input data, for profile easily, do not use random data here.
size_t
size
=
FLAGS_batch_size
*
3
*
318
*
318
;
input
.
data
.
Resize
(
size
*
sizeof
(
float
));
float
*
input_data
=
static_cast
<
float
*>
(
input
.
data
.
data
());
for
(
size_t
i
=
0
;
i
<
size
;
i
++
)
{
*
(
input_data
+
i
)
=
static_cast
<
float
>
(
i
)
/
size
;
}
std
::
vector
<
PaddleTensor
>
input_slots
;
input_slots
.
assign
({
input
});
(
*
inputs
).
emplace_back
(
input_slots
);
}
// Easy for profiling independently.
TEST
(
Analyzer_resnet50
,
profile
)
{
AnalysisConfig
cfg
;
SetConfig
(
&
cfg
);
std
::
vector
<
PaddleTensor
>
outputs
;
std
::
vector
<
std
::
vector
<
PaddleTensor
>>
input_slots_all
;
SetInput
(
&
input_slots_all
);
TestPrediction
(
cfg
,
input_slots_all
,
&
outputs
,
FLAGS_num_threads
);
if
(
FLAGS_num_threads
==
1
&&
!
FLAGS_test_all_data
)
{
PADDLE_ENFORCE_EQ
(
outputs
.
size
(),
1UL
);
size_t
size
=
GetSize
(
outputs
[
0
]);
// output is a 512-dimension feature
EXPECT_EQ
(
size
,
512
*
FLAGS_batch_size
);
}
}
// Check the fuse status
TEST
(
Analyzer_resnet50
,
fuse_statis
)
{
AnalysisConfig
cfg
;
SetConfig
(
&
cfg
);
int
num_ops
;
GetFuseStatis
(
cfg
,
&
num_ops
);
}
// Compare result of NativeConfig and AnalysisConfig
TEST
(
Analyzer_resnet50
,
compare
)
{
AnalysisConfig
cfg
;
SetConfig
(
&
cfg
);
std
::
vector
<
std
::
vector
<
PaddleTensor
>>
input_slots_all
;
SetInput
(
&
input_slots_all
);
CompareNativeAndAnalysis
(
cfg
,
input_slots_all
);
}
}
// namespace analysis
}
// namespace inference
}
// namespace paddle
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