diff --git a/PyTorch/built-in/cv/detection/RetinaNet_for_PyTorch/test/set_conda.sh b/PyTorch/built-in/cv/detection/RetinaNet_for_PyTorch/test/set_conda.sh
new file mode 100644
index 0000000000000000000000000000000000000000..d050d95db597341eb6de14aa803c1502f0cf1b0b
--- /dev/null
+++ b/PyTorch/built-in/cv/detection/RetinaNet_for_PyTorch/test/set_conda.sh
@@ -0,0 +1,2 @@
+export PATH=/home/anaconda3/bin:$PATH 
+export LD_LIBRARY_PATH=/home/anaconda3/lib:$LD_LIBRARY_PATH
\ No newline at end of file
diff --git a/PyTorch/built-in/cv/detection/RetinaNet_for_PyTorch/test/train_full_8p.sh b/PyTorch/built-in/cv/detection/RetinaNet_for_PyTorch/test/train_full_8p.sh
index cfb2d20015de78c62db9a78098e8ecc94fe9990f..b008126a97d96572b7658e9eaa6c863a3a83159e 100644
--- a/PyTorch/built-in/cv/detection/RetinaNet_for_PyTorch/test/train_full_8p.sh
+++ b/PyTorch/built-in/cv/detection/RetinaNet_for_PyTorch/test/train_full_8p.sh
@@ -65,6 +65,12 @@ do
     elif [[ $para == --epochs* ]];then
         epochs=`echo ${para#*=}`
     fi
+    if [[ $para == --conda_name* ]];then
+		conda_name=`echo ${para#*=}`
+        source set_conda.sh --conda_name=$conda_name
+        source activate $conda_name
+        echo "PATH TRAIN AFTER :$PATH"
+    fi
 done
 
 #校验是否传入data_path,不需要修改
@@ -159,4 +165,11 @@ echo "ActualFPS = ${ActualFPS}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName
 echo "TrainingTime = ${TrainingTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "ActualLoss = ${ActualLoss}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "TrainAccuracy = ${train_accuracy}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
-echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
+echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+
+#退出conda环境
+conda deactivate
+if [-n "$conda_name"];then
+    echo "conda $conda_name deactivate"
+    conda deactivate
+fi
\ No newline at end of file
diff --git a/PyTorch/built-in/nlp/Bert-Squad_ID0470_for_PyTorch/test/train_full_8p.sh b/PyTorch/built-in/nlp/Bert-Squad_ID0470_for_PyTorch/test/train_full_8p.sh
index d7c67c17572eed069a1b9e8f829f67f91d61d3ca..8ff876b4c0ce28c6a133fca6849d4c1fb7607ec6 100644
--- a/PyTorch/built-in/nlp/Bert-Squad_ID0470_for_PyTorch/test/train_full_8p.sh
+++ b/PyTorch/built-in/nlp/Bert-Squad_ID0470_for_PyTorch/test/train_full_8p.sh
@@ -121,7 +121,7 @@ do
             --seed 1 \
             --fp16 \
             --loss_scale 4096 \
-            --vocab_file "data/uncased_L-24_H-1024_A-16/vocab.txt" \
+            --vocab_file ${data_path}/data/uncased_L-24_H-1024_A-16/vocab.txt \
             --do_eval \
             --eval_script ${data_path}/evaluate-v1.1.py \
             --npu_id ${ASCEND_DEVICE_ID} \
diff --git a/PyTorch/dev/cv/image_classification/DeepLab-CRF_ID1873_for_PyTorch/test/train_full_1p.sh b/PyTorch/dev/cv/image_classification/DeepLab-CRF_ID1873_for_PyTorch/test/train_full_1p.sh
index a71b37404a66f5daf237a77eb3ef57a22e1b54b1..519ac6c41bb0f0324fc0ae0485e8eec9219310f0 100644
--- a/PyTorch/dev/cv/image_classification/DeepLab-CRF_ID1873_for_PyTorch/test/train_full_1p.sh
+++ b/PyTorch/dev/cv/image_classification/DeepLab-CRF_ID1873_for_PyTorch/test/train_full_1p.sh
@@ -170,7 +170,7 @@ grep "the loss is: " $cur_path/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.
 ActualLoss=`awk 'END {print}' $cur_path/output/$ASCEND_DEVICE_ID/train_${CaseName}_loss.txt`
 
 #关键信息打印到${CaseName}.log中，不需要修改
-echo "Network = ${Network}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "Network = ${Network}" > $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "RankSize = ${RANK_SIZE}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "BatchSize = ${BatchSize}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "DeviceType = ${DeviceType}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log