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体验新版 GitCode,发现更多精彩内容 >>
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6c5f928a
编写于
11月 27, 2017
作者:
T
tensor-tang
浏览文件
操作
浏览文件
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电子邮件补丁
差异文件
enable inference benchmark
上级
33fa2dfb
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
68 addition
and
7 deletion
+68
-7
benchmark/paddle/image/googlenet.py
benchmark/paddle/image/googlenet.py
+1
-1
benchmark/paddle/image/resnet.py
benchmark/paddle/image/resnet.py
+1
-1
benchmark/paddle/image/run_mkldnn.sh
benchmark/paddle/image/run_mkldnn.sh
+65
-4
benchmark/paddle/image/vgg.py
benchmark/paddle/image/vgg.py
+1
-1
未找到文件。
benchmark/paddle/image/googlenet.py
浏览文件 @
6c5f928a
...
...
@@ -9,7 +9,7 @@ use_gpu = get_config_arg('use_gpu', bool, True)
args
=
{
'height'
:
height
,
'width'
:
width
,
'color'
:
True
,
'num_class'
:
num_class
}
define_py_data_sources2
(
"train.list"
,
None
,
module
=
"provider"
,
obj
=
"process"
,
args
=
args
)
"train.list"
,
"test.list"
,
module
=
"provider"
,
obj
=
"process"
,
args
=
args
)
settings
(
batch_size
=
batch_size
,
...
...
benchmark/paddle/image/resnet.py
浏览文件 @
6c5f928a
...
...
@@ -10,7 +10,7 @@ is_test = get_config_arg("is_test", bool, False)
args
=
{
'height'
:
height
,
'width'
:
width
,
'color'
:
True
,
'num_class'
:
num_class
}
define_py_data_sources2
(
"train.list"
,
None
,
module
=
"provider"
,
obj
=
"process"
,
args
=
args
)
"train.list"
,
"test.list"
,
module
=
"provider"
,
obj
=
"process"
,
args
=
args
)
settings
(
batch_size
=
batch_size
,
...
...
benchmark/paddle/image/run_mkldnn.sh
浏览文件 @
6c5f928a
...
...
@@ -8,13 +8,13 @@ function train() {
use_mkldnn
=
$4
if
[
$4
==
"True"
]
;
then
thread
=
1
log
=
"logs/
${
topology
}
-
${
layer_num
}
-mkldnn-
${
bs
}
.log"
log
=
"logs/
train-
${
topology
}
-
${
layer_num
}
-mkldnn-
${
bs
}
.log"
elif
[
$4
==
"False"
]
;
then
thread
=
`
nproc
`
# each trainer_count use only 1 core to avoid conflict
log
=
"logs/
${
topology
}
-
${
layer_num
}
-
${
thread
}
mklml-
${
bs
}
.log"
log
=
"logs/
train-
${
topology
}
-
${
layer_num
}
-
${
thread
}
mklml-
${
bs
}
.log"
else
echo
"Wrong input
$
3
, use True or False."
echo
"Wrong input
$
4
, use True or False."
exit
0
fi
args
=
"batch_size=
${
bs
}
,layer_num=
${
layer_num
}
"
...
...
@@ -30,13 +30,74 @@ function train() {
2>&1 |
tee
${
log
}
}
if
[
!
-d
"train.list"
]
;
then
function
test
()
{
unset
OMP_NUM_THREADS MKL_NUM_THREADS OMP_DYNAMIC KMP_AFFINITY
topology
=
$1
layer_num
=
$2
bs
=
$3
use_mkldnn
=
$4
if
[
$4
==
"True"
]
;
then
thread
=
1
log
=
"logs/test-
${
topology
}
-
${
layer_num
}
-mkldnn-
${
bs
}
.log"
elif
[
$4
==
"False"
]
;
then
thread
=
`
nproc
`
if
[
$thread
-gt
$bs
]
;
then
thread
=
$bs
fi
log
=
"logs/test-
${
topology
}
-
${
layer_num
}
-
${
thread
}
mklml-
${
bs
}
.log"
else
echo
"Wrong input
$4
, use True or False."
exit
0
fi
models_in
=
"models/
${
topology
}
-
${
layer_num
}
/pass-00000/"
if
[
!
-d
$models_in
]
;
then
echo
"Training model
${
topology
}
_
${
layer_num
}
"
paddle train
--job
=
train
\
--config
=
"
${
topology
}
.py"
\
--use_mkldnn
=
True
\
--use_gpu
=
False
\
--trainer_count
=
1
\
--num_passes
=
1
\
--save_dir
=
"models/
${
topology
}
-
${
layer_num
}
"
\
--config_args
=
"batch_size=128,layer_num=
${
layer_num
}
"
\
>
/dev/null 2>&1
echo
"Done"
fi
paddle train
--job
=
test
\
--config
=
"
${
topology
}
.py"
\
--use_mkldnn
=
$use_mkldnn
\
--use_gpu
=
False
\
--trainer_count
=
$thread
\
--log_period
=
10
\
--config_args
=
"batch_size=
${
bs
}
,layer_num=
${
layer_num
}
,is_test=True"
\
--init_model_path
=
$models_in
\
2>&1 |
tee
${
log
}
}
if
[
!
-f
"train.list"
]
;
then
echo
" "
>
train.list
fi
if
[
!
-f
"test.list"
]
;
then
echo
" "
>
test.list
fi
if
[
!
-d
"logs"
]
;
then
mkdir
logs
fi
if
[
!
-d
"models"
]
;
then
mkdir
-p
models
fi
# inference benchmark
for
use_mkldnn
in
True False
;
do
for
batchsize
in
1 2 4 8 16
;
do
test
googlenet v1
$batchsize
$use_mkldnn
test
resnet 50
$batchsize
$use_mkldnn
test
vgg 19
$batchsize
$use_mkldnn
done
done
# training benchmark
for
use_mkldnn
in
True False
;
do
for
batchsize
in
64 128 256
;
do
train vgg 19
$batchsize
$use_mkldnn
...
...
benchmark/paddle/image/vgg.py
浏览文件 @
6c5f928a
...
...
@@ -9,7 +9,7 @@ layer_num = get_config_arg('layer_num', int, 19)
args
=
{
'height'
:
height
,
'width'
:
width
,
'color'
:
True
,
'num_class'
:
num_class
}
define_py_data_sources2
(
"train.list"
,
None
,
module
=
"provider"
,
obj
=
"process"
,
args
=
args
)
"train.list"
,
"test.list"
,
module
=
"provider"
,
obj
=
"process"
,
args
=
args
)
settings
(
batch_size
=
batch_size
,
...
...
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