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!15382 clean pylint & shell check 

From: @zhao_ting_v
Reviewed-by: @wuxuejian,@c_34
Signed-off-by: @wuxuejian
This commit is contained in:
mindspore-ci-bot 2021-04-19 20:47:52 +08:00 committed by Gitee
parent 0d03ff0816 ffaf33d5d6
commit 879f5e1f4e
20 changed files with 28 additions and 28 deletions
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2
model_zoo/official/cv/crnn/ascend310_infer/build.sh
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@ -17,7 +17,7 @@
if [ ! -d out ]; then
mkdir out
fi
cd out
cd out || exit
cmake .. \
-DMINDSPORE_PATH="`pip show mindspore-ascend | grep Location | awk '{print $2"/mindspore"}' | xargs realpath`"
make

4
model_zoo/official/cv/crnn/scripts/run_infer_310.sh
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@ -63,7 +63,7 @@ fi
function compile_app()
{
cd ../ascend310_infer
cd ../ascend310_infer || exit
if [ -f "Makefile" ]; then
make clean
fi
@ -73,7 +73,7 @@ function compile_app()
echo "compile app code failed"
exit 1
fi
cd -
cd - || exit
}
function infer()

2
model_zoo/official/cv/ctpn/scripts/run_infer_310.sh
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@ -73,7 +73,7 @@ function compile_app()
echo "compile app code failed"
exit 1
fi
cd -
cd - || exit
}
function infer()

2
model_zoo/official/cv/deeptext/ascend310_infer/build.sh
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@ -17,7 +17,7 @@
if [ ! -d out ]; then
mkdir out
fi
cd out
cd out || exit
cmake .. \
-DMINDSPORE_PATH="`pip show mindspore-ascend | grep Location | awk '{print $2"/mindspore"}' | xargs realpath`"
make

5
model_zoo/official/cv/deeptext/postprocess.py
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@ -16,12 +16,11 @@
"""Evaluation for Deeptext"""
import argparse
import os
from PIL import Image
import numpy as np
import mmcv
from src.config import config
from src.utils import metrics
from PIL import Image
import mmcv
parser = argparse.ArgumentParser(description="Deeptext evaluation")
parser.add_argument("--result_path", type=str, required=True, help="result file path")

4
model_zoo/official/cv/deeptext/scripts/run_infer_310.sh
View File

@ -62,7 +62,7 @@ fi
function compile_app()
{
cd ../ascend310_infer
cd ../ascend310_infer || exit
if [ -f "Makefile" ]; then
make clean
fi
@ -72,7 +72,7 @@ function compile_app()
echo "compile app code failed"
exit 1
fi
cd -
cd - || exit
}
function infer()

2
model_zoo/official/cv/faster_rcnn/ascend310_infer/src/build.sh
View File

@ -19,7 +19,7 @@ build_type="Release"
function preparePath() {
rm -rf $1
mkdir -p $1
cd $1
cd $1 || exit
}
function buildA300() {

4
model_zoo/official/cv/maskrcnn/scripts/run_infer_310.sh
View File

@ -66,9 +66,9 @@ function air_to_om()
function compile_app()
{
cd ../ascend310_infer/src
cd ../ascend310_infer/src || exit
sh build.sh &> build.log
cd -
cd - || exit
}
function infer()

2
model_zoo/official/cv/resnet152/scripts/run_eval.sh
View File

@ -57,7 +57,7 @@ mkdir ./eval
cp ../*.py ./eval
cp *.sh ./eval
cp -r ../src ./eval
cd ./eval
cd ./eval || exit
env > env.log
echo "start evaluation for device $DEVICE_ID"
python eval.py --data_url=$PATH1 --checkpoint_path=$PATH2 &> eval.log &

2
model_zoo/official/cv/unet/scripts/run_infer_310.sh
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@ -70,7 +70,7 @@ function preprocess_data()
function compile_app()
{
cd ../ascend310_infer/src
cd ../ascend310_infer/ || exit
if [ -f "Makefile" ]; then
make clean
fi

3
model_zoo/official/cv/vgg16/scripts/run_distribute_train.sh
View File

@ -62,7 +62,8 @@ do
end=`expr $start \+ $gap`
cmdopt=$start"-"$end
export DEVICE_ID=`expr $i \+ $start_idx`
device_id=`expr $i \+ $start_idx`
export DEVICE_ID=$device_id
export RANK_ID=$i
rm -rf ./train_parallel$DEVICE_ID
mkdir ./train_parallel$DEVICE_ID

2
model_zoo/official/cv/yolov4/scripts/run_infer_310.sh
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@ -60,7 +60,7 @@ fi
function compile_app()
{
cd ../ascend310_infer/src
cd ../ascend310_infer/src || exit
if [ -f "Makefile" ]; then
make clean
fi

2
model_zoo/official/nlp/fasttext/src/dataset.py
View File

@ -21,8 +21,8 @@ import pprint
import ast
import html
import numpy as np
import spacy
from sklearn.feature_extraction import FeatureHasher
import spacy
from mindspore.mindrecord import FileWriter

2
model_zoo/research/cv/FaceQualityAssessment/scripts/run_eval.sh
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@ -61,7 +61,7 @@ export RANK_ID=0
rm -rf ${current_exec_path}/device$USE_DEVICE_ID
echo 'start device '$USE_DEVICE_ID
mkdir ${current_exec_path}/device$USE_DEVICE_ID
cd ${current_exec_path}/device$USE_DEVICE_ID
cd ${current_exec_path}/device$USE_DEVICE_ID || exit
dev=`expr $USE_DEVICE_ID + 0`
export DEVICE_ID=$dev
python ${dirname_path}/${SCRIPT_NAME} \

2
model_zoo/research/cv/FaceQualityAssessment/train.py
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@ -102,7 +102,7 @@ def main(args):
else:
param_dict_new[key] = values
load_param_into_net(network, param_dict_new)
cfg.logger.info('load model %s success.' % cfg.pretrained)
cfg.logger.info('load model %s success.', cfg.pretrained)
# optimizer and lr scheduler
lr = warmup_step(cfg, gamma=0.9)

2
model_zoo/research/cv/FaceRecognition/eval.py
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@ -328,6 +328,6 @@ if __name__ == '__main__':
log_path = os.path.join(arg.ckpt_path, 'logs')
arg.logger = get_logger(log_path, arg.local_rank)
arg.logger.info('Config\n\n{}\n'.format(pformat(arg)))
arg.logger.info('Config: {}'.format(pformat(arg)))
main(arg)

2
model_zoo/research/cv/FaceRecognition/scripts/run_standalone_train_base.sh
View File

@ -42,7 +42,7 @@ mkdir ${EXECUTE_PATH}/log_standalone_graph
rm -rf ${EXECUTE_PATH}/data_standalone_log_$USE_DEVICE_ID
mkdir -p ${EXECUTE_PATH}/data_standalone_log_$USE_DEVICE_ID
cd ${EXECUTE_PATH}/data_standalone_log_$USE_DEVICE_ID
cd ${EXECUTE_PATH}/data_standalone_log_$USE_DEVICE_ID || exit
echo "start training for rank $RANK_ID, device $USE_DEVICE_ID"
env > ${EXECUTE_PATH}/log_standalone_graph/face_recognition_$USE_DEVICE_ID.log
python ${EXECUTE_PATH}/../train.py \

2
model_zoo/research/cv/FaceRecognition/scripts/run_standalone_train_beta.sh
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@ -42,7 +42,7 @@ mkdir ${EXECUTE_PATH}/log_standalone_graph
rm -rf ${EXECUTE_PATH}/data_standalone_log_$USE_DEVICE_ID
mkdir -p ${EXECUTE_PATH}/data_standalone_log_$USE_DEVICE_ID
cd ${EXECUTE_PATH}/data_standalone_log_$USE_DEVICE_ID
cd ${EXECUTE_PATH}/data_standalone_log_$USE_DEVICE_ID || exit
echo "start training for rank $RANK_ID, device $USE_DEVICE_ID"
env > ${EXECUTE_PATH}/log_standalone_graph/face_recognition_$USE_DEVICE_ID.log
python ${EXECUTE_PATH}/../train.py \

8
model_zoo/research/cv/FaceRecognitionForTracking/train.py
View File

@ -90,13 +90,13 @@ def main():
cfg.logger.info('start create dataloader')
de_dataset, steps_per_epoch, class_num = get_de_dataset(cfg)
cfg.steps_per_epoch = steps_per_epoch
cfg.logger.info('step per epoch: %d' % cfg.steps_per_epoch)
cfg.logger.info('step per epoch: {}'.format(cfg.steps_per_epoch))
de_dataloader = de_dataset.create_tuple_iterator()
cfg.logger.info('class num original: %d' % class_num)
cfg.logger.info('class num original: {}'.format(class_num))
if class_num % 16 != 0:
class_num = (class_num // 16 + 1) * 16
cfg.class_num = class_num
cfg.logger.info('change the class num to: %d' % cfg.class_num)
cfg.logger.info('change the class num to: {}'.format(cfg.class_num))
cfg.logger.info('end create dataloader')
# backbone and loss
@ -119,7 +119,7 @@ def main():
else:
param_dict_new[key] = values
load_param_into_net(network, param_dict_new)
cfg.logger.info('load model %s success' % cfg.pretrained)
cfg.logger.info('load model %s success', cfg.pretrained)
# mixed precision training
network.add_flags_recursive(fp16=True)

2
model_zoo/research/nlp/ternarybert/scripts/run_train.sh
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@ -15,7 +15,7 @@
# ============================================================================
mkdir -p ms_log
PROJECT_DIR=$(cd "$(dirname "$0")"; pwd)
PROJECT_DIR=$(cd "$(dirname "$0")" || exit; pwd)
CUR_DIR=`pwd`
export GLOG_log_dir=${CUR_DIR}/ms_log
export GLOG_logtostderr=0