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0333696c
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0333696c
编写于
5月 09, 2020
作者:
M
mindspore-ci-bot
提交者:
Gitee
5月 09, 2020
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差异文件
!1004 modify readme for resnet101
Merge pull request !1004 from meixiaowei/r0.2
上级
6955440b
495d0428
变更
5
隐藏空白更改
内联
并排
Showing
5 changed file
with
53 addition
and
20 deletion
+53
-20
example/resnet101_imagenet2012/README.md
example/resnet101_imagenet2012/README.md
+2
-3
example/resnet101_imagenet2012/dataset.py
example/resnet101_imagenet2012/dataset.py
+2
-2
example/resnet101_imagenet2012/run_distribute_train.sh
example/resnet101_imagenet2012/run_distribute_train.sh
+19
-7
example/resnet101_imagenet2012/run_infer.sh
example/resnet101_imagenet2012/run_infer.sh
+17
-5
example/resnet101_imagenet2012/run_standalone_train.sh
example/resnet101_imagenet2012/run_standalone_train.sh
+13
-3
未找到文件。
example/resnet101_imagenet2012/README.md
浏览文件 @
0333696c
...
...
@@ -8,9 +8,9 @@ This is an example of training ResNet101 with ImageNet dataset in MindSpore.
-
Install
[
MindSpore
](
https://www.mindspore.cn/install/en
)
.
-
Download the dataset
[
ImageNet
](
http://image-net.org/download
)
.
-
Download the dataset
ImageNet2012
.
> Unzip the ImageNet dataset to any path you want, the folder should include train and eval dataset as follows:
> Unzip the ImageNet
2012
dataset to any path you want, the folder should include train and eval dataset as follows:
```
.
...
...
@@ -25,7 +25,6 @@ This is an example of training ResNet101 with ImageNet dataset in MindSpore.
```
shell
.
├── crossentropy.py
# CrossEntropy loss function
├── var_init.py
# weight initial
├── config.py
# parameter configuration
├── dataset.py
# data preprocessing
├── eval.py
# eval net
...
...
example/resnet101_imagenet2012/dataset.py
浏览文件 @
0333696c
...
...
@@ -76,8 +76,8 @@ def create_dataset(dataset_path, do_train, repeat_num=1, batch_size=32):
type_cast_op
=
C2
.
TypeCast
(
mstype
.
int32
)
ds
=
ds
.
map
(
input_columns
=
"image"
,
operations
=
trans
)
ds
=
ds
.
map
(
input_columns
=
"label"
,
operations
=
type_cast_op
)
ds
=
ds
.
map
(
input_columns
=
"image"
,
operations
=
trans
,
num_parallel_workers
=
8
)
ds
=
ds
.
map
(
input_columns
=
"label"
,
operations
=
type_cast_op
,
num_parallel_workers
=
8
)
# apply shuffle operations
ds
=
ds
.
shuffle
(
buffer_size
=
config
.
buffer_size
)
...
...
example/resnet101_imagenet2012/run_distribute_train.sh
浏览文件 @
0333696c
...
...
@@ -20,23 +20,35 @@ then
exit
1
fi
if
[
!
-f
$1
]
get_real_path
(){
if
[
"
${
1
:0:1
}
"
==
"/"
]
;
then
echo
"
$1
"
else
echo
"
$(
realpath
-m
$PWD
/
$1
)
"
fi
}
PATH1
=
$(
get_real_path
$1
)
PATH2
=
$(
get_real_path
$2
)
echo
$PATH1
echo
$PATH2
if
[
!
-f
$PATH1
]
then
echo
"error: MINDSPORE_HCCL_CONFIG_PATH=
$1
is not a file"
echo
"error: MINDSPORE_HCCL_CONFIG_PATH=
$
PATH
1
is not a file"
exit
1
fi
if
[
!
-d
$2
]
if
[
!
-d
$
PATH
2
]
then
echo
"error: DATASET_PATH=
$2
is not a directory"
echo
"error: DATASET_PATH=
$
PATH
2
is not a directory"
exit
1
fi
ulimit
-u
unlimited
export
DEVICE_NUM
=
8
export
RANK_SIZE
=
8
export
MINDSPORE_HCCL_CONFIG_PATH
=
$1
export
RANK_TABLE_FILE
=
$1
export
MINDSPORE_HCCL_CONFIG_PATH
=
$
PATH
1
export
RANK_TABLE_FILE
=
$
PATH
1
for
((
i
=
0
;
i<
${
DEVICE_NUM
}
;
i++
))
do
...
...
@@ -49,6 +61,6 @@ do
cd
./train_parallel
$i
||
exit
echo
"start training for rank
$RANK_ID
, device
$DEVICE_ID
"
env
>
env.log
python train.py
--do_train
=
True
--run_distribute
=
True
--device_num
=
$DEVICE_NUM
--dataset_path
=
$2
&> log &
python train.py
--do_train
=
True
--run_distribute
=
True
--device_num
=
$DEVICE_NUM
--dataset_path
=
$
PATH
2
&> log &
cd
..
done
example/resnet101_imagenet2012/run_infer.sh
浏览文件 @
0333696c
...
...
@@ -20,15 +20,27 @@ then
exit
1
fi
if
[
!
-d
$1
]
get_real_path
(){
if
[
"
${
1
:0:1
}
"
==
"/"
]
;
then
echo
"
$1
"
else
echo
"
$(
realpath
-m
$PWD
/
$1
)
"
fi
}
PATH1
=
$(
get_real_path
$1
)
PATH2
=
$(
get_real_path
$2
)
echo
$PATH1
echo
$PATH2
if
[
!
-d
$PATH1
]
then
echo
"error: DATASET_PATH=
$1
is not a directory"
echo
"error: DATASET_PATH=
$
PATH
1
is not a directory"
exit
1
fi
if
[
!
-f
$2
]
if
[
!
-f
$
PATH
2
]
then
echo
"error: CHECKPOINT_PATH=
$2
is not a file"
echo
"error: CHECKPOINT_PATH=
$
PATH
2
is not a file"
exit
1
fi
...
...
@@ -48,5 +60,5 @@ cp *.sh ./infer
cd
./infer
||
exit
env
>
env.log
echo
"start infering for device
$DEVICE_ID
"
python eval.py
--do_eval
=
True
--dataset_path
=
$
1
--checkpoint_path
=
$
2
&> log &
python eval.py
--do_eval
=
True
--dataset_path
=
$
PATH1
--checkpoint_path
=
$PATH
2
&> log &
cd
..
example/resnet101_imagenet2012/run_standalone_train.sh
浏览文件 @
0333696c
...
...
@@ -20,9 +20,19 @@ then
exit
1
fi
if
[
!
-d
$1
]
get_real_path
(){
if
[
"
${
1
:0:1
}
"
==
"/"
]
;
then
echo
"
$1
"
else
echo
"
$(
realpath
-m
$PWD
/
$1
)
"
fi
}
PATH1
=
$(
get_real_path
$1
)
echo
$PATH1
if
[
!
-d
$PATH1
]
then
echo
"error: DATASET_PATH=
$1
is not a directory"
echo
"error: DATASET_PATH=
$
PATH
1
is not a directory"
exit
1
fi
...
...
@@ -42,5 +52,5 @@ cp *.sh ./train
cd
./train
||
exit
echo
"start training for device
$DEVICE_ID
"
env
>
env.log
python train.py
--do_train
=
True
--dataset_path
=
$1
&> log &
python train.py
--do_train
=
True
--dataset_path
=
$
PATH
1
&> log &
cd
..
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