diff --git a/PyTorch/built-in/docs/dist_train_demo/README.md b/PyTorch/built-in/docs/dist_train_demo/README.md
index 45cc3d80086c56d266684349dbfa09f4fe9f5c1b..58b40cc1608c54d94f970faffac6cc355c0bd5c3 100644
--- a/PyTorch/built-in/docs/dist_train_demo/README.md
+++ b/PyTorch/built-in/docs/dist_train_demo/README.md
@@ -11,7 +11,7 @@
 
 ## 简述
 
-基于示例模型脚本，针对shell脚本启动、python启动、mp.spawn启动、torchrun启动、torch_npu_run启动五种方式，分别提供单机八卡和双机十六卡端到端训练示例脚本。
+基于示例模型脚本，针对shell脚本启动、torch.distributed.launch启动、mp.spawn启动、torchrun启动、torch_npu_run启动五种方式，分别提供单机八卡和双机十六卡端到端训练示例脚本。
 
 
 # 准备训练环境
@@ -62,7 +62,7 @@
      
      bash start_train_16p_slave_addr.sh  # 从节点
      ```
-   - python脚本启动。
+   - torch.distributed.launch脚本启动。
 
      启动单机八卡训练。
 
diff --git a/PyTorch/built-in/docs/dist_train_demo/train_16p_python.py b/PyTorch/built-in/docs/dist_train_demo/train_16p_torch.distributed.launch.py
similarity index 100%
rename from PyTorch/built-in/docs/dist_train_demo/train_16p_python.py
rename to PyTorch/built-in/docs/dist_train_demo/train_16p_torch.distributed.launch.py
diff --git a/PyTorch/built-in/docs/dist_train_demo/train_8p_python.py b/PyTorch/built-in/docs/dist_train_demo/train_8p_torch.distributed.launch.py
similarity index 100%
rename from PyTorch/built-in/docs/dist_train_demo/train_8p_python.py
rename to PyTorch/built-in/docs/dist_train_demo/train_8p_torch.distributed.launch.py
diff --git a/PyTorch/dev/cv/image_classification/SlowFast_ID0646_for_PyTorch/detectron2/projects/Panoptic-DeepLab/configs/COCO-PanopticSegmentation/panoptic_deeplab_R_52_os16_mg124_poly_200k_bs64_crop_640_640_coco_dsconv.yaml b/PyTorch/dev/cv/image_classification/SlowFast_ID0646_for_PyTorch/detectron2/projects/Panoptic-DeepLab/configs/COCO-PanopticSegmentation/panoptic_deeplab_R_52_os16_mg124_poly_200k_bs64_crop_640_640_coco_dsconv.yaml
deleted file mode 100644
index 74f448ddba0a2cb8de27ca0b8f943d5cc6471978..0000000000000000000000000000000000000000
--- a/PyTorch/dev/cv/image_classification/SlowFast_ID0646_for_PyTorch/detectron2/projects/Panoptic-DeepLab/configs/COCO-PanopticSegmentation/panoptic_deeplab_R_52_os16_mg124_poly_200k_bs64_crop_640_640_coco_dsconv.yaml
+++ /dev/null
@@ -1,42 +0,0 @@
-_BASE_: ../Cityscapes-PanopticSegmentation/Base-PanopticDeepLab-OS16.yaml
-MODEL:
-  WEIGHTS: "detectron2://DeepLab/R-52.pkl"
-  PIXEL_MEAN: [123.675, 116.280, 103.530]
-  PIXEL_STD: [58.395, 57.120, 57.375]
-  BACKBONE:
-    NAME: "build_resnet_deeplab_backbone"
-  RESNETS:
-    DEPTH: 50
-    NORM: "SyncBN"
-    RES5_MULTI_GRID: [1, 2, 4]
-    STEM_TYPE: "deeplab"
-    STEM_OUT_CHANNELS: 128
-    STRIDE_IN_1X1: False
-  SEM_SEG_HEAD:
-    NUM_CLASSES: 133
-    LOSS_TOP_K: 1.0
-    USE_DEPTHWISE_SEPARABLE_CONV: True
-  PANOPTIC_DEEPLAB:
-    STUFF_AREA: 4096
-    NMS_KERNEL: 41
-    SIZE_DIVISIBILITY: 640
-    USE_DEPTHWISE_SEPARABLE_CONV: True
-DATASETS:
-  TRAIN: ("coco_2017_train_panoptic",)
-  TEST: ("coco_2017_val_panoptic",)
-SOLVER:
-  BASE_LR: 0.0005
-  MAX_ITER: 200000
-  IMS_PER_BATCH: 64
-INPUT:
-  FORMAT: "RGB"
-  GAUSSIAN_SIGMA: 8
-  MIN_SIZE_TRAIN: !!python/object/apply:eval ["[int(x * 0.1 * 640) for x in range(5, 16)]"]
-  MIN_SIZE_TRAIN_SAMPLING: "choice"
-  MIN_SIZE_TEST: 640
-  MAX_SIZE_TRAIN: 960
-  MAX_SIZE_TEST: 640
-  CROP:
-    ENABLED: True
-    TYPE: "absolute"
-    SIZE: (640, 640)
\ No newline at end of file