!3444 Fix README.md and shell scripts in fasterRCNN
Merge pull request !3444 from zhouyuanshen/master
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commit
243c1195f9
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@ -93,7 +93,8 @@ sh run_distribute_train.sh [MINDSPORE_HCCL_CONFIG_PATH] [PRETRAINED_MODEL]
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sh run_standalone_train.sh [PRETRAINED_MODEL]
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```
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> About rank_table.json, you can refer to the [distributed training tutorial](https://www.mindspore.cn/tutorial/en/master/advanced_use/distributed_training.html).
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> Rank_table.json which is specified by MINDSPORE_HCCL_CONFIG_PATH is needed when you are running a distribute task. You can generate it by using the [hccl_tools](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/utils/hccl_tools).
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> As for PRETRAINED_MODEL,if not set, the model will be trained from the very beginning.Ready-made pretrained_models are not available now. Stay tuned.
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#### Result
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@ -14,7 +14,7 @@
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# limitations under the License.
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# ============================================================================
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if [ $# != 2 ]
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if [ $# -lt 1 ] || [ $# -gt 2 ]
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then
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echo "Usage: sh run_train.sh [MINDSPORE_HCCL_CONFIG_PATH] [PRETRAINED_PATH]"
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exit 1
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@ -27,11 +27,9 @@ get_real_path(){
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echo "$(realpath -m $PWD/$1)"
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fi
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}
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PATH1=$(get_real_path $1)
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PATH2=$(get_real_path $2)
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PATH1=$(get_real_path $1)
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echo $PATH1
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echo $PATH2
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if [ ! -f $PATH1 ]
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then
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@ -39,10 +37,15 @@ then
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exit 1
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fi
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if [ ! -f $PATH2 ]
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then
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echo "error: PRETRAINED_PATH=$PATH2 is not a file"
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exit 1
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if [ $# == 2 ]
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then
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PATH2=$(get_real_path $2)
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echo $PATH2
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if [ ! -f $PATH2 ]
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then
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echo "error: PRETRAINED_PATH=$PATH2 is not a file"
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exit 1
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fi
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fi
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ulimit -u unlimited
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@ -63,7 +66,11 @@ do
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cd ./train_parallel$i || exit
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echo "start training for rank $RANK_ID, device $DEVICE_ID"
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env > env.log
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python train.py --do_train=True --device_id=$i --rank_id=$i --run_distribute=True --device_num=$DEVICE_NUM \
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--pre_trained=$PATH2 &> log &
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if [ $# == 2 ]
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then
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python train.py --do_train=True --device_id=$i --rank_id=$i --run_distribute=True --device_num=$DEVICE_NUM --pre_trained=$PATH2 &> log &
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else
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python train.py --do_train=True --device_id=$i --rank_id=$i --run_distribute=True --device_num=$DEVICE_NUM &> log &
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fi
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cd ..
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done
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@ -14,7 +14,7 @@
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# limitations under the License.
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# ============================================================================
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if [ $# != 1 ]
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if [ $# -gt 1 ]
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then
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echo "Usage: sh run_standalone_train.sh [PRETRAINED_PATH]"
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exit 1
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@ -27,13 +27,17 @@ get_real_path(){
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echo "$(realpath -m $PWD/$1)"
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fi
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}
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PATH1=$(get_real_path $1)
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echo $PATH1
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if [ ! -f $PATH1 ]
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then
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echo "error: PRETRAINED_PATH=$PATH1 is not a file"
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exit 1
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if [ $# == 1 ]
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then
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PATH1=$(get_real_path $1)
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echo $PATH1
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if [ ! -f $PATH1 ]
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then
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echo "error: PRETRAINED_PATH=$PATH1 is not a file"
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exit 1
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fi
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fi
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ulimit -u unlimited
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@ -53,5 +57,10 @@ cp -r ../src ./train
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cd ./train || exit
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echo "start training for device $DEVICE_ID"
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env > env.log
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python train.py --do_train=True --device_id=$DEVICE_ID --pre_trained=$PATH1 &> log &
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if [ $# == 1 ]
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then
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python train.py --do_train=True --device_id=$DEVICE_ID --pre_trained=$PATH1 &> log &
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else
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python train.py --do_train=True --device_id=$DEVICE_ID &> log &
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fi
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cd ..
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