diff --git a/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/densenet121_1p_main.py b/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/densenet121_1p_main.py
index c4a606d6a91633eb8cb57e8a9d9f717ac9bd4c28..e9a5438e98cc3e3bac2872065fa28046a20fabc5 100644
--- a/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/densenet121_1p_main.py
+++ b/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/densenet121_1p_main.py
@@ -143,6 +143,7 @@ def main():
 
 
     if args.seed is not None:
+	seed = args.seed
         random.seed(seed)
         os.environ['PYTHONHASHSEED'] = str(seed)
         np.random.seed(seed)
@@ -250,7 +251,8 @@ def main_worker(gpu, ngpus_per_node, args):
                                 weight_decay=args.weight_decay)
 
     if args.amp:
-        model, optimizer = amp.initialize(model, optimizer, opt_level=args.opt_level, loss_scale=args.loss_scale, combine_grad=True)
+        model, optimizer = amp.initialize(model, optimizer, opt_level=args.opt_level,
+					 loss_scale=args.loss_scale, combine_grad=True)
 
     # optionally resume from a checkpoint
     if args.resume:
@@ -260,6 +262,7 @@ def main_worker(gpu, ngpus_per_node, args):
             args.start_epoch = checkpoint['epoch']
             best_acc1 = checkpoint['best_acc1']
             model.load_state_dict(checkpoint['state_dict'])
+            model = nn.DataParallel(model)
             optimizer.load_state_dict(checkpoint['optimizer'])
             if args.amp:
                 amp.load_state_dict(checkpoint['amp'])
diff --git a/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/densenet121_8p_main.py b/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/densenet121_8p_main.py
index f2b148daa42c7e17c176bb4507e67116bbfe1fab..46b32dd9b881c381581afa6ff07b2009cb195934 100644
--- a/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/densenet121_8p_main.py
+++ b/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/densenet121_8p_main.py
@@ -153,6 +153,7 @@ def main():
     print("===============main()=================")
 
     if args.seed is not None:
+        seed = args.seed
         random.seed(args.seed)
         torch.manual_seed(args.seed)
         cudnn.deterministic = True
@@ -288,8 +289,10 @@ def main_worker(gpu, ngpus_per_node, args):
                                 weight_decay=args.weight_decay)
 
     if args.amp:
-        model, optimizer = amp.initialize(model, optimizer, opt_level=args.opt_level, loss_scale=args.loss_scale, combine_grad=True)
-    model = torch.nn.parallel.DistributedDataParallel(model, device_ids=[args.gpu], broadcast_buffers=False)
+        model, optimizer = amp.initialize(model, optimizer, opt_level=args.opt_level,
+					 loss_scale=args.loss_scale, combine_grad=True)
+    model = torch.nn.parallel.DistributedDataParallel(model, device_ids=[args.gpu],
+						       broadcast_buffers=False)
 
     # optionally resume from a checkpoint
     if args.resume:
@@ -299,6 +302,7 @@ def main_worker(gpu, ngpus_per_node, args):
             args.start_epoch = checkpoint['epoch']
             best_acc1 = checkpoint['best_acc1']
             model.load_state_dict(checkpoint['state_dict'])
+            model = nn.DataParallel(model)
             optimizer.load_state_dict(checkpoint['optimizer'])
             if args.amp:
                 amp.load_state_dict(checkpoint['amp'])
@@ -330,7 +334,8 @@ def main_worker(gpu, ngpus_per_node, args):
             best_acc1 = max(acc1, best_acc1)
 
             if not args.multiprocessing_distributed or (args.multiprocessing_distributed
-                                                        and args.rank % ngpus_per_node == 0 and epoch == args.epochs - 1):
+                                                        and args.rank % ngpus_per_node == 0 
+							and epoch == args.epochs - 1):
                 if args.amp:
                     save_checkpoint({
                         'epoch': epoch + 1,
diff --git a/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/docker_start.sh b/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/docker_start.sh
index 944bca3cdac8e3f2d47ceb0e2b6eb181a405de11..cf8052518d25e80d6df572348dc18c47e1fced7b 100644
--- a/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/docker_start.sh
+++ b/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/docker_start.sh
@@ -4,7 +4,7 @@ docker_image=$1
 data_dir=$2
 model_dir=$3
 
-docker run -it --ipc=host \
+docker run -it -u root --ipc=host \
               --device=/dev/davinci0 \
               --device=/dev/davinci1 \
               --device=/dev/davinci2 \
@@ -22,4 +22,4 @@ docker run -it --ipc=host \
               -v /var/log/npu/conf/slog/slog.conf:/var/log/npu/conf/slog/slog.conf \
               -v /var/log/npu/slog/:/var/log/npu/slog -v /var/log/npu/profiling/:/var/log/npu/profiling \
               -v /var/log/npu/dump/:/var/log/npu/dump -v /var/log/npu/:/usr/slog ${docker_image} \
-              /bin/bash
\ No newline at end of file
+              /bin/bash
diff --git a/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/sdk_infer/docker_start_infer.sh b/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/sdk_infer/docker_start_infer.sh
index 072b0819ae7edbe63d62c98a039c43469157f792..deac57c423852de8cb899170a1f539fa15f2a3dd 100644
--- a/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/sdk_infer/docker_start_infer.sh
+++ b/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/sdk_infer/docker_start_infer.sh
@@ -37,7 +37,7 @@ function param_check() {
 
 param_check
 
-docker run -it \
+docker run -it -u root \
   --device=/dev/davinci0 \
   --device=/dev/davinci_manager \
   --device=/dev/devmm_svm \
diff --git a/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/sdk_infer/sdk_run_infer/pipeline/densenet121_opencv.pipeline b/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/sdk_infer/sdk_run_infer/pipeline/densenet121_opencv.pipeline
index 4357b974bca2d95b5b4a05cf470cdafd3b46c4a9..4027490b114a93c9f7230580b35485e5515dc231 100644
--- a/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/sdk_infer/sdk_run_infer/pipeline/densenet121_opencv.pipeline
+++ b/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/sdk_infer/sdk_run_infer/pipeline/densenet121_opencv.pipeline
@@ -38,7 +38,7 @@
         "mxpi_tensorinfer0": {
             "props": {
                 "dataSource": "mxpi_opencvcentercrop0",
-                "modelPath": "./models/densenet121/densenet121_304.om",
+                "modelPath": "./models/densenet121/densenet121_pytorch_1.3.om",
                 "waitingTime": "2000",
                 "outputDeviceId": "-1"
             },
@@ -50,7 +50,7 @@
                 "dataSource": "mxpi_tensorinfer0",
                 "postProcessConfigPath": "./models/densenet121/densenet121_aipp.cfg",
                 "labelPath": "./models/densenet121/imagenet1000_clsidx_to_labels.names",
-                "postProcessLibPath": "../../../lib/modelpostprocessors/libresnet50postprocess.so"
+                "postProcessLibPath": "../../../../lib/modelpostprocessors/libresnet50postprocess.so"
             },
             "factory": "mxpi_classpostprocessor",
             "next": "mxpi_dataserialize0"
diff --git a/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/sdk_infer/sdk_run_infer/run_densenet.sh b/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/sdk_infer/sdk_run_infer/run_densenet.sh
index fe7de0829651e3b810bf1c617a19659ee2f6cdd9..7d04a39fa15c13e1d670558fc6be3cffaad1f5e2 100644
--- a/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/sdk_infer/sdk_run_infer/run_densenet.sh
+++ b/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/sdk_infer/sdk_run_infer/run_densenet.sh
@@ -22,12 +22,5 @@ CUR_PATH=$(cd "$(dirname "$0")" || { warn "Failed to check path/to/run.sh" ; exi
 info() { echo -e "\033[1;34m[INFO ][MxStream] $1\033[1;37m" ; }
 warn() { echo >&2 -e "\033[1;31m[WARN ][MxStream] $1\033[1;37m" ; }
 
-export LD_LIBRARY_PATH=${MX_SDK_HOME}/lib:${MX_SDK_HOME}/opensource/lib:${MX_SDK_HOME}/opensource/lib64:/usr/local/Ascend/ascend-toolkit/latest/acllib/lib64:${LD_LIBRARY_PATH}
-export GST_PLUGIN_SCANNER=${MX_SDK_HOME}/opensource/libexec/gstreamer-1.0/gst-plugin-scanner
-export GST_PLUGIN_PATH=${MX_SDK_HOME}/opensource/lib/gstreamer-1.0:${MX_SDK_HOME}/lib/plugins
-
-#to set PYTHONPATH, import the StreamManagerApi.py
-export PYTHONPATH=$PYTHONPATH:${MX_SDK_HOME}/python
-
-python3.7 main_densenet_opencv.py
+python3 main_densenet_opencv.py
 exit 0
diff --git a/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/test/train_full_1p.sh b/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/test/train_full_1p.sh
index 80dcfbf8c367277369e6e12fd8d8326c59965e1b..39e1cb45c4043d50633b14203b958fcc7dfbca4b 100644
--- a/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/test/train_full_1p.sh
+++ b/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/test/train_full_1p.sh
@@ -175,4 +175,4 @@ echo "ActualFPS = ${ActualFPS}" >> ${test_path_dir}/output/$ASCEND_DEVICE_ID/${C
 echo "TrainingTime = ${TrainingTime}" >> ${test_path_dir}/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "ActualLoss = ${ActualLoss}" >> ${test_path_dir}/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "E2ETrainingTime = ${e2e_time}" >> ${test_path_dir}/output/$ASCEND_DEVICE_ID/${CaseName}.log
-echo "TrainAccuracy = ${train_accuracy}" >> ${test_path_dir}/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
+echo "TrainAccuracy = ${train_accuracy}" >> ${test_path_dir}/output/$ASCEND_DEVICE_ID/${CaseName}.log
diff --git a/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/test/train_full_8p.sh b/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/test/train_full_8p.sh
index 4c8482b67c8482f936551b35b8c1b09da2be2b97..1b00b4168e60496351962e7e488a3626ca3c69aa 100644
--- a/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/test/train_full_8p.sh
+++ b/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/test/train_full_8p.sh
@@ -133,7 +133,7 @@ then
         --device-list '0,1,2,3,4,5,6,7' \
         --amp \
         --benchmark 0 \
-        --data $data_path > ${test_path_dir}/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log 2>&1 &
+        --data $data_path >  ${test_path_dir}/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log 2>&1 &
     done
 else
     for i in $(seq 0 7)
@@ -213,4 +213,4 @@ echo "ActualFPS = ${ActualFPS}" >> ${test_path_dir}/output/$ASCEND_DEVICE_ID/${C
 echo "TrainingTime = ${TrainingTime}" >> ${test_path_dir}/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "ActualLoss = ${ActualLoss}" >> ${test_path_dir}/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "TrainAccuracy = ${train_accuracy}" >> ${test_path_dir}/output/$ASCEND_DEVICE_ID/${CaseName}.log
-echo "E2ETrainingTime = ${e2e_time}" >> ${test_path_dir}/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
+echo "E2ETrainingTime = ${e2e_time}" >> ${test_path_dir}/output/$ASCEND_DEVICE_ID/${CaseName}.log
diff --git a/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/test/train_performance_1p.sh b/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/test/train_performance_1p.sh
index 48c18be1d4927f29d56aa019aa18e8535431fe2c..d57dbe2a7334f83cebdad775d1853771f944daa2 100644
--- a/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/test/train_performance_1p.sh
+++ b/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/test/train_performance_1p.sh
@@ -176,4 +176,4 @@ echo "CaseName = ${CaseName}" >> ${test_path_dir}/output/$ASCEND_DEVICE_ID/${Cas
 echo "ActualFPS = ${ActualFPS}" >> ${test_path_dir}/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "TrainingTime = ${TrainingTime}" >> ${test_path_dir}/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "ActualLoss = ${ActualLoss}" >> ${test_path_dir}/output/$ASCEND_DEVICE_ID/${CaseName}.log
-echo "E2ETrainingTime = ${e2e_time}" >> ${test_path_dir}/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
+echo "E2ETrainingTime = ${e2e_time}" >> ${test_path_dir}/output/$ASCEND_DEVICE_ID/${CaseName}.log
diff --git a/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/test/train_performance_8p.sh b/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/test/train_performance_8p.sh
index 0175d3c3e47253f5c5a152b4164108521b25bd31..2f9653a51feb6e8c188ed1650a8e148477fce551 100644
--- a/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/test/train_performance_8p.sh
+++ b/PyTorch/built-in/cv/classification/Densenet121_for_PyTorch/test/train_performance_8p.sh
@@ -219,4 +219,4 @@ echo "CaseName = ${CaseName}" >> ${test_path_dir}/output/$ASCEND_DEVICE_ID/${Cas
 echo "ActualFPS = ${ActualFPS}" >> ${test_path_dir}/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "TrainingTime = ${TrainingTime}" >> ${test_path_dir}/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "ActualLoss = ${ActualLoss}" >> ${test_path_dir}/output/$ASCEND_DEVICE_ID/${CaseName}.log
-echo "E2ETrainingTime = ${e2e_time}" >> ${test_path_dir}/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
+echo "E2ETrainingTime = ${e2e_time}" >> ${test_path_dir}/output/$ASCEND_DEVICE_ID/${CaseName}.log