p60975123
/
mindspore
forked from mindspore-Ecosystem/mindspore
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

fix retinanet shell script

This commit is contained in:
陈劢 2021-06-01 10:56:47 +08:00
parent ccee6de15f
commit 5d5b920227
2 changed files with 2 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
model_zoo/official/cv/retinanet/scripts/run_distribute_train.sh
View File

@ -17,7 +17,7 @@
echo "=============================================================================================================="
echo "Please run the script as: "
echo "sh run_distribute_train.sh DEVICE_NUM EPOCH_SIZE LR DATASET RANK_TABLE_FILE PRE_TRAINED PRE_TRAINED_EPOCH_SIZE"
echo "for example: sh run_distribute_train.sh 8 500 0.1 coco /data/hccl.json /opt/retinanet-500_458.ckpt(optional) 200(optional)"
echo "for example: sh run_distribute_train.sh 8 500 0.1 /data/hccl.json /opt/retinanet-500_458.ckpt(optional) 200(optional)"
echo "It is better to use absolute path."
echo "================================================================================================================="

3
model_zoo/official/cv/retinanet/scripts/run_single_train.sh
View File

@ -17,7 +17,7 @@
echo "=============================================================================================================="
echo "Please run the script as: "
echo "sh run_single_train.sh DEVICE_ID EPOCH_SIZE LR DATASET PRE_TRAINED PRE_TRAINED_EPOCH_SIZE"
echo "for example: sh run_single_train.sh 0 500 0.1 coco /opt/retinanet-500_458.ckpt(optional) 200(optional)"
echo "for example: sh run_single_train.sh 0 500 0.1 /opt/retinanet-500_458.ckpt(optional) 200(optional)"
echo "It is better to use absolute path."
echo "================================================================================================================="
@ -31,7 +31,6 @@ fi
# Before start single train, first create mindrecord files.
BASE_PATH=$(cd "`dirname $0`" || exit; pwd)
cd $BASE_PATH/../ || exit
python train.py --only_create_dataset=True
echo "After running the script, the network runs in the background. The log will be generated in LOGx/log.txt"