diff --git a/PyTorch/contrib/audio/WaveGlow/requirement.txt b/PyTorch/contrib/audio/WaveGlow/requirement.txt
index e85be42a1f454321c5792290abefb6fa7504ea5a..45e6410de9f7e59bd47cf43064a235e257c2ed82 100644
--- a/PyTorch/contrib/audio/WaveGlow/requirement.txt
+++ b/PyTorch/contrib/audio/WaveGlow/requirement.txt
@@ -1,6 +1,6 @@
 matplotlib==3.5.1
 numpy==1.20.3
-inflect==5.3.1
+inflect==5.3.0
 scipy==1.7.3
 Unidecode==1.3.2
 Pillow==8.4.0
diff --git a/PyTorch/contrib/cv/detection/SOLOv2/test/train_eval_1p.sh b/PyTorch/contrib/cv/detection/SOLOv2/test/train_eval_1p.sh
index 338b8dd79b8c7a3d4fa7a7f492073b2a95557a06..8132b286e3e8c50a53cde219bb12f297c1288f03 100644
--- a/PyTorch/contrib/cv/detection/SOLOv2/test/train_eval_1p.sh
+++ b/PyTorch/contrib/cv/detection/SOLOv2/test/train_eval_1p.sh
@@ -60,7 +60,7 @@ etp_flag=`echo ${check_etp_flag#*=}`
 if [ x"${etp_flag}" != x"true" ];then
     source ${cur_path}/test/env_npu.sh
 fi
-nohup python tools/test_ins.py configs/solov2/solov2_r50_fpn_8gpu_1x.py  $MODEL --show --out  results_solo.pkl --eval segm \
+nohup python3.7 tools/test_ins.py configs/solov2/solov2_r50_fpn_8gpu_1x.py  $MODEL --show --out  results_solo.pkl --eval segm \
       --data_root=$data_path > ${cur_path}/output/${ASCEND_DEVICE_ID}/eval_${ASCEND_DEVICE_ID}.log 2>&1 &
 wait
 
diff --git a/PyTorch/contrib/cv/detection/SOLOv2/test/train_finetune_1p.sh b/PyTorch/contrib/cv/detection/SOLOv2/test/train_finetune_1p.sh
index dd5f93484f461d75293ab1c754926acf7404e9f5..648019d58da2ba2ad3f4e89c1f4df2e5f8d05035 100644
--- a/PyTorch/contrib/cv/detection/SOLOv2/test/train_finetune_1p.sh
+++ b/PyTorch/contrib/cv/detection/SOLOv2/test/train_finetune_1p.sh
@@ -67,11 +67,11 @@ fi
 #执行训练脚本，以下传参不需要修改，其他需要模型审视修改
 export NPUID=0
 export RANK=0
-python tools/train.py configs/solov2/solov2_r50_fpn_8gpu_1x.py --opt-level $apex --autoscale-lr --seed 0 --total_epochs 1 \
+python3.7 tools/train.py configs/solov2/solov2_r50_fpn_8gpu_1x.py --opt-level $apex --autoscale-lr --seed 0 --total_epochs 1 \
       --data_root=$data_path --gpu-ids 0 --resume_from work_dirs/solov2_release_r50_fpn_8gpu_1x/latest.pth \
       --fine-tune > ${cur_path}/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1 &
 wait
-#python tools/test_ins.py configs/solo/solo_r50_fpn_8gpu_1x.py  work_dirs/solo_release_r50_fpn_8gpu_1x/latest.pth --show \
+#python3.7 tools/test_ins.py configs/solo/solo_r50_fpn_8gpu_1x.py  work_dirs/solo_release_r50_fpn_8gpu_1x/latest.pth --show \
 #      --out  results_solo.pkl --eval segm >> ${cur_path}/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1 &
 #wait
 
diff --git a/PyTorch/contrib/cv/detection/SOLOv2/test/train_full_1p.sh b/PyTorch/contrib/cv/detection/SOLOv2/test/train_full_1p.sh
index b44b9a512619d2987862a0d487d1887e5904f609..b4be5448561ecc86dbfde2a078eba4c9464dc3f0 100644
--- a/PyTorch/contrib/cv/detection/SOLOv2/test/train_full_1p.sh
+++ b/PyTorch/contrib/cv/detection/SOLOv2/test/train_full_1p.sh
@@ -67,10 +67,10 @@ fi
 #执行训练脚本，以下传参不需要修改，其他需要模型审视修改
 export NPUID=0
 export RANK=0
-python tools/train.py configs/solov2/solov2_r50_fpn_8gpu_1x.py --opt-level $apex --autoscale-lr --seed 0 --total_epochs 12 \
+python3.7 tools/train.py configs/solov2/solov2_r50_fpn_8gpu_1x.py --opt-level $apex --autoscale-lr --seed 0 --total_epochs 12 \
       --data_root=$data_path --gpu-ids 0 > ${cur_path}/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1 &
 wait
-python tools/test_ins.py configs/solov2/solov2_r50_fpn_8gpu_1x.py  work_dirs/solov2_release_r50_fpn_8gpu_1x/latest.pth --show \
+python3.7 tools/test_ins.py configs/solov2/solov2_r50_fpn_8gpu_1x.py  work_dirs/solov2_release_r50_fpn_8gpu_1x/latest.pth --show \
       --out  results_solo.pkl --eval segm --data_root=$data_path >> ${cur_path}/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1 &
 wait
 
diff --git a/PyTorch/contrib/cv/detection/SOLOv2/test/train_full_8p.sh b/PyTorch/contrib/cv/detection/SOLOv2/test/train_full_8p.sh
index 08dbdd71413ace8c56f4554d41c5f9625f23d7ce..00f40316f47639de8d8d34704b4682d68ab3eb36 100644
--- a/PyTorch/contrib/cv/detection/SOLOv2/test/train_full_8p.sh
+++ b/PyTorch/contrib/cv/detection/SOLOv2/test/train_full_8p.sh
@@ -96,7 +96,7 @@ do
     fi
 done
 wait
-python tools/test_ins.py configs/solov2/solov2_r50_fpn_8gpu_1x.py  work_dirs/solov2_release_r50_fpn_8gpu_1x/latest.pth --show \
+python3.7 tools/test_ins.py configs/solov2/solov2_r50_fpn_8gpu_1x.py  work_dirs/solov2_release_r50_fpn_8gpu_1x/latest.pth --show \
       --out  results_solo.pkl --eval segm --data_root=$data_path >> ${cur_path}/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1 &
 wait
 
diff --git a/PyTorch/contrib/cv/detection/SOLOv2/test/train_performance_1p.sh b/PyTorch/contrib/cv/detection/SOLOv2/test/train_performance_1p.sh
index 04d54a85542eba8a1ded47d06a4d09632aa21be2..9cb99d7d0ba0c44b6e3f7128c45f2c7b8f36451f 100644
--- a/PyTorch/contrib/cv/detection/SOLOv2/test/train_performance_1p.sh
+++ b/PyTorch/contrib/cv/detection/SOLOv2/test/train_performance_1p.sh
@@ -67,10 +67,10 @@ fi
 #执行训练脚本，以下传参不需要修改，其他需要模型审视修改
 export NPUID=0
 export RANK=0
-python tools/train.py configs/solov2/solov2_r50_fpn_8gpu_1x.py --opt-level $apex --autoscale-lr --seed 0 --total_epochs 1 \
+python3.7 tools/train.py configs/solov2/solov2_r50_fpn_8gpu_1x.py --opt-level $apex --autoscale-lr --seed 0 --total_epochs 1 \
       --data_root=$data_path --gpu-ids 0 > ${cur_path}/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1 &
 wait
-python tools/test_ins.py configs/solov2/solov2_r50_fpn_8gpu_1x.py  work_dirs/solov2_release_r50_fpn_8gpu_1x/latest.pth --show \
+python3.7 tools/test_ins.py configs/solov2/solov2_r50_fpn_8gpu_1x.py  work_dirs/solov2_release_r50_fpn_8gpu_1x/latest.pth --show \
       --out  results_solo.pkl --eval segm --data_root=$data_path >> ${cur_path}/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1 &
 wait
 
diff --git a/PyTorch/contrib/cv/detection/SOLOv2/test/train_performance_8p.sh b/PyTorch/contrib/cv/detection/SOLOv2/test/train_performance_8p.sh
index 83aa6d37c47ed7f1f77aa208c2d973bd0b004c6f..8e00d0e5da88b6513f836e4a4cc53f2ef82d13c8 100644
--- a/PyTorch/contrib/cv/detection/SOLOv2/test/train_performance_8p.sh
+++ b/PyTorch/contrib/cv/detection/SOLOv2/test/train_performance_8p.sh
@@ -96,7 +96,7 @@ do
     fi
 done
 wait
-python tools/test_ins.py configs/solov2/solov2_r50_fpn_8gpu_1x.py  work_dirs/solov2_release_r50_fpn_8gpu_1x/latest.pth --show \
+python3.7 tools/test_ins.py configs/solov2/solov2_r50_fpn_8gpu_1x.py  work_dirs/solov2_release_r50_fpn_8gpu_1x/latest.pth --show \
       --out  results_solo.pkl --eval segm --data_root=$data_path >> ${cur_path}/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1 &
 wait
 #训练结束时间，不需要修改
diff --git a/PyTorch/contrib/cv/pose_estimation/Lightweight_OpenPose/test/train_full_8p.sh b/PyTorch/contrib/cv/pose_estimation/Lightweight_OpenPose/test/train_full_8p.sh
index bfede3f4fc330ffbc19d4dfe1d383424e44ab32e..9f09cdc851337bbebdbc31ec36c6e1c0b06d144d 100644
--- a/PyTorch/contrib/cv/pose_estimation/Lightweight_OpenPose/test/train_full_8p.sh
+++ b/PyTorch/contrib/cv/pose_estimation/Lightweight_OpenPose/test/train_full_8p.sh
@@ -98,7 +98,16 @@ if [ x"${etp_flag}" != x"true" ];then
     source ${test_path_dir}/env_npu.sh
 fi
 
-python3.7.5 train.py \
+RANK_ID_START=0
+RANK_SIZE=8
+
+for((RANK_ID=$RANK_ID_START;RANK_ID<$((RANK_SIZE+RANK_ID_START));RANK_ID++));
+do
+
+KERNEL_NUM=$(($(nproc)/8))
+PID_START=$((KERNEL_NUM * RANK_ID))
+PID_END=$((PID_START + KERNEL_NUM - 1))
+taskset -c $PID_START-$PID_END python3.7.5 train.py \
     --train-images-folder ${data_path}/train2017/ \
     --prepared-train-labels ./prepared_train_annotation.pkl \
     --val-labels ./val_subset.json \
@@ -118,6 +127,7 @@ python3.7.5 train.py \
     --world-size=1 \
     --dist-backend 'hccl' \
     --amp \
+    --gpu=${RANK_ID} \
     --loss-scale=16 \
     --opt-level O1 \
     --device-list '0,1,2,3,4,5,6,7' \
diff --git a/PyTorch/contrib/cv/pose_estimation/Lightweight_OpenPose/test/train_performance_8p.sh b/PyTorch/contrib/cv/pose_estimation/Lightweight_OpenPose/test/train_performance_8p.sh
index 09d08597d8ac84dc13e0ae2045bc6a0fb92776cb..55b61fce77f425674c68c0dbd718c30fd676c604 100644
--- a/PyTorch/contrib/cv/pose_estimation/Lightweight_OpenPose/test/train_performance_8p.sh
+++ b/PyTorch/contrib/cv/pose_estimation/Lightweight_OpenPose/test/train_performance_8p.sh
@@ -68,7 +68,16 @@ if [ x"${etp_flag}" != x"true" ];then
     source ${test_path_dir}/env_npu.sh
 fi
 
-python3.7.5 train.py \
+RANK_ID_START=0
+RANK_SIZE=8
+
+for((RANK_ID=$RANK_ID_START;RANK_ID<$((RANK_SIZE+RANK_ID_START));RANK_ID++));
+do
+
+KERNEL_NUM=$(($(nproc)/8))
+PID_START=$((KERNEL_NUM * RANK_ID))
+PID_END=$((PID_START + KERNEL_NUM - 1))
+taskset -c $PID_START-$PID_END python3.7.5 train.py \
     --train-images-folder ${data_path}/train2017/ \
     --prepared-train-labels ./prepared_train_annotation.pkl \
     --val-labels ./val_subset.json \
@@ -89,6 +98,7 @@ python3.7.5 train.py \
     --dist-backend 'hccl' \
     --loss-scale=16 \
     --amp \
+    --gpu=${RANK_ID} \
     --opt-level O1 \
     --device-list '0,1,2,3,4,5,6,7' \
     > ${test_path_dir}/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1 &
diff --git a/PyTorch/contrib/cv/pose_estimation/Lightweight_OpenPose/train.py b/PyTorch/contrib/cv/pose_estimation/Lightweight_OpenPose/train.py
index ce68710a1cd716f6e7032ab7c1d338d497db105e..1340bf3f4a34ed90c502c628e20acba8f2d428d0 100644
--- a/PyTorch/contrib/cv/pose_estimation/Lightweight_OpenPose/train.py
+++ b/PyTorch/contrib/cv/pose_estimation/Lightweight_OpenPose/train.py
@@ -161,10 +161,7 @@ def main():
     args.world_size = ngpus_per_node * args.world_size
     args.distributed = args.world_size > 1
 
-    if args.distributed:
-        mp.spawn(main_worker, nprocs=ngpus_per_node, args=(ngpus_per_node, args))
-    else:
-        main_worker(args.gpu, ngpus_per_node, args)
+    main_worker(args.gpu, ngpus_per_node, args)
 
 
 def main_worker(gpu, ngpus_per_node, args):