add relative and full path for the eval

example/resnet101_imagenet2012/README.md

@@ -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/run_infer.sh

@@ -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=$1 is not a directory"
+    echo "error: DATASET_PATH=$PATH1 is not a directory"
 exit 1
 fi 
 
-if [ ! -f $2 ]
+if [ ! -f $PATH2 ]
 then 
-    echo "error: CHECKPOINT_PATH=$2 is not a file"
+    echo "error: CHECKPOINT_PATH=$PATH2 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=$PATH2 &> log &
 cd ..