diff --git a/PyTorch/contrib/cv/classification/MobileNet/test/train_eval_8p.sh b/PyTorch/contrib/cv/classification/MobileNet/test/train_eval_8p.sh
index 7601be3ffc78b403a8e24b958d8f56825c56787e..6fdbe525b0d335d696dcebfbc6138dfd0ada7ff4 100755
--- a/PyTorch/contrib/cv/classification/MobileNet/test/train_eval_8p.sh
+++ b/PyTorch/contrib/cv/classification/MobileNet/test/train_eval_8p.sh
@@ -75,7 +75,7 @@ do
 KERNEL_NUM=$(($(nproc)/8))
 PID_START=$((KERNEL_NUM * RANK_ID))
 PID_END=$((PID_START + KERNEL_NUM - 1))
-taskset -c $PID_START-$PID_END python mobilenet.py \
+taskset -c $PID_START-$PID_END python3.7 mobilenet.py \
         --data=${data_path} \
         -e \
         --batch_size=${bach_size} \
diff --git a/PyTorch/contrib/cv/classification/MobileNet/test/train_full_1p.sh b/PyTorch/contrib/cv/classification/MobileNet/test/train_full_1p.sh
index 9e96f28b95db62e86e44f293edc8c883b7d0a64d..55b11273c94594277be939c7296414ba46b0f582 100755
--- a/PyTorch/contrib/cv/classification/MobileNet/test/train_full_1p.sh
+++ b/PyTorch/contrib/cv/classification/MobileNet/test/train_full_1p.sh
@@ -12,7 +12,7 @@ export RANK_SIZE=1
 data_path=""
 
 # 训练epoch
-train_epochs=1
+train_epochs=90
 # 指定训练所使用的npu device卡id
 device_id=0
 # 学习率
diff --git a/PyTorch/contrib/cv/classification/MobileNet/test/train_full_8p.sh b/PyTorch/contrib/cv/classification/MobileNet/test/train_full_8p.sh
index c2bf7064cc484707697a142db4755771852216a6..41889c650f6bf15f2449b8bdd14eaeef265d86c9 100755
--- a/PyTorch/contrib/cv/classification/MobileNet/test/train_full_8p.sh
+++ b/PyTorch/contrib/cv/classification/MobileNet/test/train_full_8p.sh
@@ -75,7 +75,7 @@ KERNEL_NUM=$(($(nproc)/8))
 PID_START=$((KERNEL_NUM * RANK_ID))
 PID_END=$((PID_START + KERNEL_NUM - 1))
 
-taskset -c $PID_START-$PID_END python mobilenet.py \
+taskset -c $PID_START-$PID_END python3.7 mobilenet.py \
         --data=${data_path} \
         --batch_size=${batch_size} \
         --ngpu 8 \
diff --git a/PyTorch/contrib/cv/classification/MobileNet/test/train_performance_1p.sh b/PyTorch/contrib/cv/classification/MobileNet/test/train_performance_1p.sh
index 0d21e2cdd76f966f2a36411121c77a23446b538b..b790357f847dcec3d97783c56b4bf48225d5ea51 100755
--- a/PyTorch/contrib/cv/classification/MobileNet/test/train_performance_1p.sh
+++ b/PyTorch/contrib/cv/classification/MobileNet/test/train_performance_1p.sh
@@ -85,7 +85,7 @@ python3.7 mobilenet.py \
         --epochs=${train_epochs} \
         -j $(($(nproc))) \
         --lr=${learning_rate} \
-        --device_id={ASCEND_DEVICE_ID}  > ${test_path_dir}/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1 &
+        --device_id=${ASCEND_DEVICE_ID}  > ${test_path_dir}/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1 &
 
 wait
 
diff --git a/PyTorch/contrib/cv/classification/MobileNet/test/train_performance_8p.sh b/PyTorch/contrib/cv/classification/MobileNet/test/train_performance_8p.sh
index 8ab1d2e097826331ef4a0e68e1d80fdac7ef9ed4..0d8120807b069ced2135f8becf9a03b4e570d04b 100755
--- a/PyTorch/contrib/cv/classification/MobileNet/test/train_performance_8p.sh
+++ b/PyTorch/contrib/cv/classification/MobileNet/test/train_performance_8p.sh
@@ -12,7 +12,7 @@ export RANK_SIZE=8
 data_path=""
 
 # 训练epoch
-train_epochs=90
+train_epochs=1
 # 学习率
 learning_rate=0.8
 
@@ -75,7 +75,7 @@ KERNEL_NUM=$(($(nproc)/8))
 PID_START=$((KERNEL_NUM * RANK_ID))
 PID_END=$((PID_START + KERNEL_NUM - 1))
 
-taskset -c $PID_START-$PID_END python mobilenet.py \
+taskset -c $PID_START-$PID_END python3.7 mobilenet.py \
         --data=${data_path} \
         --batch_size=${batch_size} \
         --ngpu 8 \