From 35b8576180abef392fd58de79698047987b0e166 Mon Sep 17 00:00:00 2001
From: zlq2020 <zouliqin@huawei.com>
Date: Fri, 24 Mar 2023 14:58:10 +0800
Subject: [PATCH] change ms_adpater to msadapter

---
 .../cv/C3D&R3D&R(2+1)D/dataloaders/dataset.py |  4 +-
 official/cv/C3D&R3D&R(2+1)D/inference.py      |  2 +-
 .../cv/C3D&R3D&R(2+1)D/network/C3D_model.py   |  4 +-
 .../C3D&R3D&R(2+1)D/network/R2Plus1D_model.py |  6 +--
 .../cv/C3D&R3D&R(2+1)D/network/R3D_model.py   |  6 +--
 .../cv/C3D&R3D&R(2+1)D/network/Untitled.ipynb |  2 +-
 official/cv/C3D&R3D&R(2+1)D/train.py          |  8 ++--
 official/cv/PQA-Net/Gdn.py                    |  4 +-
 .../ImageQualityDatasetLQSixSeperate.py       |  4 +-
 official/cv/PQA-Net/MeonLQ.py                 |  6 +--
 official/cv/PQA-Net/TrainModelDTLQ.py         |  4 +-
 official/cv/alexnet/alexnet_adapter.py        | 12 ++---
 official/cv/darknet53/model.py                |  4 +-
 official/cv/darknet53/train.py                | 10 ++---
 .../cv/mobilenet_v2/mobilenet_v2_adapter.py   |  8 ++--
 .../cv/ssd/ssd_mobilenet_adapter/eval_ssd.py  |  2 +-
 .../ssd_mobilenet_adapter/run_ssd_example.py  |  2 +-
 .../run_ssd_live_demo.py                      |  2 +-
 .../cv/ssd/ssd_mobilenet_adapter/train_ssd.py |  4 +-
 .../vision/datasets/collation.py              |  2 +-
 .../vision/nn/alexnet.py                      |  2 +-
 .../vision/nn/mobilenet.py                    |  4 +-
 .../vision/nn/mobilenet_v2.py                 |  2 +-
 .../vision/nn/mobilenetv3.py                  |  8 ++--
 .../vision/nn/multibox_loss.py                |  6 +--
 .../vision/nn/scaled_l2_norm.py               |  6 +--
 .../vision/nn/squeezenet.py                   |  6 +--
 .../ssd_mobilenet_adapter/vision/nn/vgg.py    |  2 +-
 .../vision/prunning/prunner.py                |  4 +-
 .../vision/ssd/fpn_mobilenetv1_ssd.py         |  4 +-
 .../vision/ssd/fpn_ssd.py                     |  4 +-
 .../vision/ssd/mobilenet_v2_ssd_lite.py       |  6 +--
 .../vision/ssd/mobilenetv1_ssd.py             |  4 +-
 .../vision/ssd/mobilenetv1_ssd_lite.py        |  4 +-
 .../vision/ssd/mobilenetv3_ssd_lite.py        |  6 +--
 .../vision/ssd/predictor.py                   |  2 +-
 .../vision/ssd/squeezenet_ssd_lite.py         |  4 +-
 .../ssd_mobilenet_adapter/vision/ssd/ssd.py   |  6 +--
 .../vision/ssd/vgg_ssd.py                     |  4 +-
 .../vision/test/test_vgg_ssd.py               |  2 +-
 .../vision/transforms/transforms.py           |  4 +-
 .../vision/utils/box_utils.py                 |  2 +-
 .../vision/utils/misc.py                      |  2 +-
 .../vision/utils/model_book.py                |  2 +-
 .../ssd_mobilenet_torch/run_ssd_live_demo.py  |  2 +-
 .../ssd_vgg_resnet_adapter/data/__init__.py   |  2 +-
 .../ssd/ssd_vgg_resnet_adapter/data/coco.py   |  6 +--
 .../ssd_vgg_resnet_adapter/data/voc0712.py    |  4 +-
 .../ssd/ssd_vgg_resnet_adapter/demo/live.py   |  4 +-
 .../cv/ssd/ssd_vgg_resnet_adapter/eval.py     |  4 +-
 .../layers/box_utils.py                       |  2 +-
 .../layers/functions/detection.py             |  4 +-
 .../layers/functions/prior_box.py             |  2 +-
 .../layers/modules/l2norm.py                  |  6 +--
 .../layers/modules/multibox_loss.py           |  6 +--
 official/cv/ssd/ssd_vgg_resnet_adapter/ssd.py |  6 +--
 .../cv/ssd/ssd_vgg_resnet_adapter/test.py     |  4 +-
 .../cv/ssd/ssd_vgg_resnet_adapter/train.py    | 12 ++---
 .../utils/augmentations.py                    |  4 +-
 official/cv/tinydarknet/msa_model.py          |  6 +--
 official/cv/tinydarknet/train.py              | 10 ++---
 official/nlp/BERT/requirements.txt            |  2 +-
 official/nlp/gpt/gpt-msa/data_utils.py        |  4 +-
 official/nlp/gpt/gpt-msa/main.py              |  4 +-
 official/nlp/gpt/gpt-msa/model.py             |  4 +-
 official/nlp/gpt/gpt-msa/trainer.py           |  6 +--
 official/nlp/lstm/ms_lstm.py                  |  6 +--
 official/nlp/lstm/requirements.txt            |  2 +-
 .../deepfm/deepfm_adapter/data/dataset.py     |  4 +-
 .../recommend/deepfm/deepfm_adapter/main.py   |  6 +--
 .../deepfm/deepfm_adapter/model/DeepFM.py     |  6 +--
 .../dataloaders/dataset.py                    |  4 +-
 .../inference.py                              |  2 +-
 .../network/C3D_model.py                      |  4 +-
 .../network/R2Plus1D_model.py                 |  6 +--
 .../network/R3D_model.py                      |  6 +--
 .../network/Untitled.ipynb                    |  2 +-
 .../adapter-video-recognition-master/train.py |  8 ++--
 .../brdnet_msa/batchrenorm/batchrenorm.py     |  2 +-
 research/brdnet/brdnet_msa/dataset.py         |  2 +-
 research/brdnet/brdnet_msa/main.py            |  8 ++--
 research/brdnet/brdnet_msa/models.py          |  4 +-
 research/brdnet/cmp_msa_torch.py              |  2 +-
 research/cv/doing/yolov5/common.py            |  6 +--
 research/cv/doing/yolov5/model.py             |  4 +-
 research/cv/done/Retinanet/Untitled.ipynb     | 44 +++++++++----------
 research/cv/done/Retinanet/setting.py         | 10 ++---
 .../cv/done/SSD/layers/functions/detection.py |  4 +-
 research/cv/done/SSD/settings.py              | 10 ++---
 .../UNet/UNet_msadapter/unet/unet_parts.py    |  6 +--
 .../pytorch3dunet/unet3d/buildingblocks.py    |  6 +--
 .../pytorch3dunet/unet3d/model.py             |  2 +-
 .../pytorch3dunet/unet3d/utils.py             |  2 +-
 research/cv/done/UNet3D/Untitled.ipynb        |  4 +-
 research/cv/done/alexnet.py                   |  6 +--
 research/cv/done/attention.py                 |  6 +--
 research/cv/done/deepfm.py                    |  8 ++--
 research/cv/done/deeplabv3/resnet_models.py   |  2 +-
 research/cv/done/deeplabv3/setting.py         |  6 +--
 research/cv/done/densenet.py                  |  8 ++--
 research/cv/done/depthnet/setting.py          |  8 ++--
 research/cv/done/dpn.py                       |  6 +--
 research/cv/done/inceptionv3.py               |  6 +--
 research/cv/done/lenet.py                     | 16 +++----
 research/cv/done/mlp.py                       |  6 +--
 research/cv/done/mobilenetv2.py               |  8 ++--
 research/cv/done/resnet.py                    |  2 +-
 research/cv/done/resnext.py                   |  6 +--
 research/cv/done/shufflenet.py                |  6 +--
 research/cv/done/squeezenet.py                |  8 ++--
 research/cv/done/vgg.py                       |  6 +--
 research/cv/done/vit.py                       |  6 +--
 .../lib/model/faster_rcnn/faster_rcnn.py      | 10 ++---
 .../lib/model/faster_rcnn/resnet.py           |  4 +-
 .../lib/model/faster_rcnn/vgg16.py            |  4 +-
 .../lib/model/rpn/anchor_target_layer.py      |  6 +--
 .../lib/model/rpn/bbox_transform.py           |  2 +-
 .../lib/model/rpn/proposal_layer.py           |  8 ++--
 .../rpn/proposal_target_layer_cascade.py      |  6 +--
 .../faster_rcnn_adapter/lib/model/rpn/rpn.py  |  6 +--
 .../lib/model/utils/net_utils.py              |  6 +--
 .../lib/roi_data_layer/roibatchLoader.py      |  4 +-
 .../faster_rcnn_adapter/test_net.py           |  4 +-
 .../faster_rcnn_adapter/trainval_net.py       |  6 +--
 .../imagenet/efficientnet_pytorch/model.py    |  6 +--
 .../imagenet/efficientnet_pytorch/utils.py    |  6 +--
 .../efficientnet/examples/imagenet/main.py    |  6 +--
 research/fcn/examples/voc/evaluate.py         |  2 +-
 .../fcn/examples/voc/torchfcn/datasets/voc.py |  4 +-
 .../examples/voc/torchfcn/models/fcn16s.py    |  2 +-
 .../examples/voc/torchfcn/models/fcn32s.py    |  4 +-
 .../fcn/examples/voc/torchfcn/models/fcn8s.py |  2 +-
 research/fcn/examples/voc/torchfcn/trainer.py |  4 +-
 research/fcn/examples/voc/train_fcn16s.py     |  2 +-
 research/fcn/examples/voc/train_fcn32s.py     |  2 +-
 research/fcn/examples/voc/train_fcn8s.py      |  2 +-
 research/msadapter_cifar100/README.md         |  2 +-
 research/msadapter_cifar100/dataset.py        |  4 +-
 .../msadapter_cifar100/models/attention.py    |  6 +--
 .../msadapter_cifar100/models/densenet.py     |  4 +-
 .../msadapter_cifar100/models/googlenet.py    |  4 +-
 .../msadapter_cifar100/models/inceptionv3.py  |  4 +-
 .../msadapter_cifar100/models/inceptionv4.py  |  4 +-
 research/msadapter_cifar100/models/mlp.py     |  4 +-
 .../msadapter_cifar100/models/mobilenet.py    |  4 +-
 .../msadapter_cifar100/models/mobilenetv2.py  |  6 +--
 research/msadapter_cifar100/models/nasnet.py  |  4 +-
 .../msadapter_cifar100/models/preactresnet.py |  6 +--
 research/msadapter_cifar100/models/resnet.py  |  4 +-
 research/msadapter_cifar100/models/resnext.py |  6 +--
 research/msadapter_cifar100/models/rir.py     |  4 +-
 research/msadapter_cifar100/models/senet.py   |  6 +--
 .../msadapter_cifar100/models/shufflenet.py   |  4 +-
 .../msadapter_cifar100/models/shufflenetv2.py |  6 +--
 .../msadapter_cifar100/models/squeezenet.py   |  4 +-
 research/msadapter_cifar100/models/vgg.py     |  6 +--
 .../msadapter_cifar100/models/wideresidual.py |  4 +-
 .../msadapter_cifar100/models/xception.py     |  4 +-
 research/msadapter_cifar100/test_inference.py |  2 +-
 research/msadapter_cifar100/train.py          |  8 ++--
 research/msadapter_cifar100/utils.py          |  4 +-
 research/nlp/transformer/README.md            |  4 +-
 .../transformer/ms_model/ms_transformer.py    |  6 +--
 research/nlp/transformer/ms_train.py          |  4 +-
 .../transformer/ms_utils/convert_tensor.py    |  2 +-
 .../nlp/transformer/ms_utils/optimizer.py     |  2 +-
 research/nlp/transformer/ms_utils/utils.py    |  6 +--
 .../transformer/torch_utils/convert_tensor.py |  2 +-
 research/openpose/src/body.py                 |  2 +-
 research/openpose/src/hand.py                 |  2 +-
 research/openpose/src/model.py                |  4 +-
 research/pvnet/lib/cmp_msa_torch.py           |  2 +-
 .../pvnet/lib/networks/model_repository.py    |  6 +--
 research/pvnet/lib/networks/resnet.py         |  2 +-
 research/pvnet/lib/networks/vgg.py            |  2 +-
 .../base/base_dataloader.py                   |  4 +-
 .../base/base_dataset.py                      |  6 +--
 .../base/base_model.py                        |  2 +-
 .../base/base_trainer.py                      |  2 +-
 .../dataloaders/ade20k.py                     |  6 +--
 .../dataloaders/cityscapes.py                 |  6 +--
 .../dataloaders/coco.py                       |  2 +-
 .../dataloaders/voc.py                        |  6 +--
 .../pytorch-segmentation_adapter/inference.py |  8 ++--
 .../models/deeplabv3_plus.py                  | 10 ++---
 .../requirements.txt                          |  2 +-
 .../pytorch-segmentation_adapter/train.py     |  2 +-
 .../pytorch-segmentation_adapter/trainer.py   |  6 +--
 .../utils/helpers.py                          |  4 +-
 .../utils/losses.py                           |  6 +--
 .../utils/lovasz_losses.py                    |  6 +--
 .../utils/lr_scheduler.py                     |  8 ++--
 .../utils/metrics.py                          |  2 +-
 .../utils/sync_batchnorm/batchnorm.py         | 16 +++----
 .../utils/sync_batchnorm/batchnorm_reimpl.py  |  6 +--
 .../utils/sync_batchnorm/replicate.py         |  2 +-
 .../utils/sync_batchnorm/unittest.py          |  2 +-
 .../utils/torchsummary.py                     |  4 +-
 .../utils/transforms.py                       |  2 +-
 tools/comparison_by_inference .py             |  2 +-
 tools/convert_tensor.py                       |  2 +-
 tools/readme.md                               |  2 +-
 202 files changed, 491 insertions(+), 491 deletions(-)

diff --git a/official/cv/C3D&R3D&R(2+1)D/dataloaders/dataset.py b/official/cv/C3D&R3D&R(2+1)D/dataloaders/dataset.py
index 2f74cc1..410622d 100644
--- a/official/cv/C3D&R3D&R(2+1)D/dataloaders/dataset.py
+++ b/official/cv/C3D&R3D&R(2+1)D/dataloaders/dataset.py
@@ -1,10 +1,10 @@
 import os
 from sklearn.model_selection import train_test_split
 
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 import cv2
 import numpy as np
-from ms_adapter.pytorch.utils.data import Dataset
+from msadapter.pytorch.utils.data import Dataset
 from mypath import Path
 
 
diff --git a/official/cv/C3D&R3D&R(2+1)D/inference.py b/official/cv/C3D&R3D&R(2+1)D/inference.py
index cb0861b..f71ef8a 100644
--- a/official/cv/C3D&R3D&R(2+1)D/inference.py
+++ b/official/cv/C3D&R3D&R(2+1)D/inference.py
@@ -1,4 +1,4 @@
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 import numpy as np
 from network import R2Plus1D_model
 import cv2
diff --git a/official/cv/C3D&R3D&R(2+1)D/network/C3D_model.py b/official/cv/C3D&R3D&R(2+1)D/network/C3D_model.py
index 6cf5a5a..e113267 100644
--- a/official/cv/C3D&R3D&R(2+1)D/network/C3D_model.py
+++ b/official/cv/C3D&R3D&R(2+1)D/network/C3D_model.py
@@ -1,5 +1,5 @@
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 from mypath import Path
 
 class C3D(nn.Module):
diff --git a/official/cv/C3D&R3D&R(2+1)D/network/R2Plus1D_model.py b/official/cv/C3D&R3D&R(2+1)D/network/R2Plus1D_model.py
index 08f871c..6022217 100644
--- a/official/cv/C3D&R3D&R(2+1)D/network/R2Plus1D_model.py
+++ b/official/cv/C3D&R3D&R(2+1)D/network/R2Plus1D_model.py
@@ -1,6 +1,6 @@
 import math
-import ms_adapter.pytorch.nn as nn
-from ms_adapter.pytorch.nn.modules.utils import _triple
+import msadapter.pytorch.nn as nn
+from msadapter.pytorch.nn.modules.utils import _triple
 
 
 class SpatioTemporalConv(nn.Module):
@@ -289,7 +289,7 @@ def get_10x_lr_params(model):
                 yield k
 
 if __name__ == "__main__":
-    import ms_adapter.pytorch as torch
+    import msadapter.pytorch as torch
     inputs = torch.rand(1, 3, 16, 112, 112)
     net = R2Plus1DClassifier(101, (2, 2, 2, 2), pretrained=False)
 
diff --git a/official/cv/C3D&R3D&R(2+1)D/network/R3D_model.py b/official/cv/C3D&R3D&R(2+1)D/network/R3D_model.py
index 3bf6692..8451db9 100644
--- a/official/cv/C3D&R3D&R(2+1)D/network/R3D_model.py
+++ b/official/cv/C3D&R3D&R(2+1)D/network/R3D_model.py
@@ -1,6 +1,6 @@
 import math
-import ms_adapter.pytorch.nn as nn
-from ms_adapter.pytorch.nn.modules.utils import _triple
+import msadapter.pytorch.nn as nn
+from msadapter.pytorch.nn.modules.utils import _triple
 
 class SpatioTemporalConv(nn.Module):
     r"""Applies a factored 3D convolution over an input signal composed of several input
@@ -228,7 +228,7 @@ def get_10x_lr_params(model):
                 yield k
 
 if __name__ == "__main__":
-    import ms_adapter.pytorch as torch
+    import msadapter.pytorch as torch
     inputs = torch.rand(1, 3, 16, 112, 112)
     net = R3DClassifier(101, (2, 2, 2, 2), pretrained=True)
 
diff --git a/official/cv/C3D&R3D&R(2+1)D/network/Untitled.ipynb b/official/cv/C3D&R3D&R(2+1)D/network/Untitled.ipynb
index 76d0c3e..f1910b5 100644
--- a/official/cv/C3D&R3D&R(2+1)D/network/Untitled.ipynb
+++ b/official/cv/C3D&R3D&R(2+1)D/network/Untitled.ipynb
@@ -306,7 +306,7 @@
     }
    ],
    "source": [
-    "import ms_adapter.pytorch as mstorch\n",
+    "import msadapter.pytorch as mstorch\n",
     "import torch as pytorch\n",
     "import numpy as np\n",
     "import mindspore as ms\n",
diff --git a/official/cv/C3D&R3D&R(2+1)D/train.py b/official/cv/C3D&R3D&R(2+1)D/train.py
index 11e31ef..ffa7e73 100644
--- a/official/cv/C3D&R3D&R(2+1)D/train.py
+++ b/official/cv/C3D&R3D&R(2+1)D/train.py
@@ -6,11 +6,11 @@ import glob
 from tqdm import tqdm
 import mindspore as ms
 
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 from tensorboardX import SummaryWriter
-from ms_adapter.pytorch import nn, optim
-from ms_adapter.pytorch.utils.data import DataLoader
-#from ms_adapter.pytorch.autograd import Variable
+from msadapter.pytorch import nn, optim
+from msadapter.pytorch.utils.data import DataLoader
+#from msadapter.pytorch.autograd import Variable
 
 from dataloaders.dataset import VideoDataset
 from network import C3D_model, R2Plus1D_model, R3D_model
diff --git a/official/cv/PQA-Net/Gdn.py b/official/cv/PQA-Net/Gdn.py
index a130468..31977a9 100644
--- a/official/cv/PQA-Net/Gdn.py
+++ b/official/cv/PQA-Net/Gdn.py
@@ -1,5 +1,5 @@
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 
 
 # Inherit from Function
diff --git a/official/cv/PQA-Net/ImageQualityDatasetLQSixSeperate.py b/official/cv/PQA-Net/ImageQualityDatasetLQSixSeperate.py
index 7bf34fe..f06d7e2 100644
--- a/official/cv/PQA-Net/ImageQualityDatasetLQSixSeperate.py
+++ b/official/cv/PQA-Net/ImageQualityDatasetLQSixSeperate.py
@@ -1,9 +1,9 @@
 import os
-from ms_adapter.torchvision import transforms
+from msadapter.torchvision import transforms
 from PIL import Image, ImageFile
 
 ImageFile.LOAD_TRUNCATED_IMAGES = True
-from ms_adapter.pytorch.utils.data import DataLoader, Dataset
+from msadapter.pytorch.utils.data import DataLoader, Dataset
 import numpy as np
 import pandas as pd
 import warnings
diff --git a/official/cv/PQA-Net/MeonLQ.py b/official/cv/PQA-Net/MeonLQ.py
index 6b6e2b7..d240478 100644
--- a/official/cv/PQA-Net/MeonLQ.py
+++ b/official/cv/PQA-Net/MeonLQ.py
@@ -1,8 +1,8 @@
 import math
 
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.nn.functional as F
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.nn.functional as F
 
 from Gdn import Gdn
 
diff --git a/official/cv/PQA-Net/TrainModelDTLQ.py b/official/cv/PQA-Net/TrainModelDTLQ.py
index 12d1c6f..1e9fd2b 100644
--- a/official/cv/PQA-Net/TrainModelDTLQ.py
+++ b/official/cv/PQA-Net/TrainModelDTLQ.py
@@ -12,8 +12,8 @@ import mindspore.nn as nn
 # import mindspore.dataset as ds
 # import mindspore.dataset.vision as vision
 # import mindspore.dataset.transforms as transforms
-from ms_adapter.pytorch.utils.data import DataLoader
-from ms_adapter.torchvision import transforms
+from msadapter.pytorch.utils.data import DataLoader
+from msadapter.torchvision import transforms
 
 from mindspore.train import Model, LearningRateScheduler
 import numpy as np
diff --git a/official/cv/alexnet/alexnet_adapter.py b/official/cv/alexnet/alexnet_adapter.py
index b6def40..105e239 100644
--- a/official/cv/alexnet/alexnet_adapter.py
+++ b/official/cv/alexnet/alexnet_adapter.py
@@ -1,9 +1,9 @@
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-from ms_adapter.pytorch import cast_to_adapter_tensor
-from ms_adapter.pytorch.utils.data import DataLoader
-from ms_adapter.torchvision import datasets, transforms
-from ms_adapter.torchvision.transforms.functional import InterpolationMode
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+from msadapter.pytorch import cast_to_adapter_tensor
+from msadapter.pytorch.utils.data import DataLoader
+from msadapter.torchvision import datasets, transforms
+from msadapter.torchvision.transforms.functional import InterpolationMode
 
 import mindspore as ms
 # from mindspore.dataset import GeneratorDataset
diff --git a/official/cv/darknet53/model.py b/official/cv/darknet53/model.py
index 0d3d560..a98d487 100644
--- a/official/cv/darknet53/model.py
+++ b/official/cv/darknet53/model.py
@@ -1,8 +1,8 @@
 # import torch
 # from torch import nn
 
-import ms_adapter.pytorch as torch
-from ms_adapter.pytorch import nn
+import msadapter.pytorch as torch
+from msadapter.pytorch import nn
 
 def conv_batch(in_num, out_num, kernel_size=3, padding=1, stride=1):
     return nn.Sequential(
diff --git a/official/cv/darknet53/train.py b/official/cv/darknet53/train.py
index aa42987..fd322ec 100644
--- a/official/cv/darknet53/train.py
+++ b/official/cv/darknet53/train.py
@@ -11,11 +11,11 @@ import mindspore as ms
 # from torch import nn
 # from torchvision import transforms
 # import torchvision.datasets as datasets
-import ms_adapter.pytorch as torch
-from ms_adapter.pytorch.utils.data import DataLoader
-from ms_adapter.pytorch import nn
-from ms_adapter.torchvision import transforms
-import ms_adapter.torchvision.datasets as datasets
+import msadapter.pytorch as torch
+from msadapter.pytorch.utils.data import DataLoader
+from msadapter.pytorch import nn
+from msadapter.torchvision import transforms
+import msadapter.torchvision.datasets as datasets
 
 from model import darknet53
 
diff --git a/official/cv/mobilenet_v2/mobilenet_v2_adapter.py b/official/cv/mobilenet_v2/mobilenet_v2_adapter.py
index 398730b..61cd9c4 100644
--- a/official/cv/mobilenet_v2/mobilenet_v2_adapter.py
+++ b/official/cv/mobilenet_v2/mobilenet_v2_adapter.py
@@ -1,8 +1,8 @@
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 import math
-from ms_adapter.torchvision import datasets, transforms
-from ms_adapter.pytorch import cast_to_adapter_tensor
+from msadapter.torchvision import datasets, transforms
+from msadapter.pytorch import cast_to_adapter_tensor
 
 import mindspore as ms
 # from mindspore.dataset import GeneratorDataset
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/eval_ssd.py b/official/cv/ssd/ssd_mobilenet_adapter/eval_ssd.py
index 0b28238..716244a 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/eval_ssd.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/eval_ssd.py
@@ -1,4 +1,4 @@
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 from vision.ssd.vgg_ssd import create_vgg_ssd, create_vgg_ssd_predictor
 from vision.ssd.mobilenetv1_ssd import create_mobilenetv1_ssd, create_mobilenetv1_ssd_predictor
 from vision.ssd.mobilenetv1_ssd_lite import create_mobilenetv1_ssd_lite, create_mobilenetv1_ssd_lite_predictor
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/run_ssd_example.py b/official/cv/ssd/ssd_mobilenet_adapter/run_ssd_example.py
index 5f5156c..3740bd4 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/run_ssd_example.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/run_ssd_example.py
@@ -1,4 +1,4 @@
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 
 from vision.ssd.vgg_ssd import create_vgg_ssd, create_vgg_ssd_predictor
 from vision.ssd.mobilenetv1_ssd import create_mobilenetv1_ssd, create_mobilenetv1_ssd_predictor
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/run_ssd_live_demo.py b/official/cv/ssd/ssd_mobilenet_adapter/run_ssd_live_demo.py
index 8f737cf..dd20263 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/run_ssd_live_demo.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/run_ssd_live_demo.py
@@ -7,7 +7,7 @@ from vision.ssd.mobilenetv3_ssd_lite import create_mobilenetv3_large_ssd_lite, c
 from vision.utils.misc import Timer
 import cv2
 import sys
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 
 if len(sys.argv) < 4:
     print('Usage: python run_ssd_example.py <net type>  <model path> <label path> [video file]')
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/train_ssd.py b/official/cv/ssd/ssd_mobilenet_adapter/train_ssd.py
index d2d4513..1d142f9 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/train_ssd.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/train_ssd.py
@@ -4,8 +4,8 @@ import logging
 import sys
 import itertools
 
-import ms_adapter.pytorch as torch
-from ms_adapter.pytorch.utils.data import DataLoader, ConcatDataset
+import msadapter.pytorch as torch
+from msadapter.pytorch.utils.data import DataLoader, ConcatDataset
 from torch.optim.lr_scheduler import CosineAnnealingLR, MultiStepLR
 
 from vision.utils.misc import str2bool, Timer, freeze_net_layers, store_labels
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/vision/datasets/collation.py b/official/cv/ssd/ssd_mobilenet_adapter/vision/datasets/collation.py
index 604d47c..9c251d7 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/vision/datasets/collation.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/vision/datasets/collation.py
@@ -1,4 +1,4 @@
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 import numpy as np
 
 
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/alexnet.py b/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/alexnet.py
index e928457..9d44189 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/alexnet.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/alexnet.py
@@ -1,4 +1,4 @@
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch.nn as nn
 
 # copied from torchvision (https://github.com/pytorch/vision/blob/master/torchvision/models/alexnet.py).
 # The forward function is modified for model pruning.
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/mobilenet.py b/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/mobilenet.py
index 75ffc3e..10540e5 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/mobilenet.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/mobilenet.py
@@ -1,7 +1,7 @@
 # borrowed from "https://github.com/marvis/pytorch-mobilenet"
 
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.nn.functional as F
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.nn.functional as F
 
 
 class MobileNetV1(nn.Module):
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/mobilenet_v2.py b/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/mobilenet_v2.py
index 0308734..aa3a770 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/mobilenet_v2.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/mobilenet_v2.py
@@ -1,4 +1,4 @@
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch.nn as nn
 import math
 
 # Modified from https://github.com/tonylins/pytorch-mobilenet-v2/blob/master/MobileNetV2.py.
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/mobilenetv3.py b/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/mobilenetv3.py
index 991c90b..65b5f90 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/mobilenetv3.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/mobilenetv3.py
@@ -3,10 +3,10 @@
 See the paper "Inverted Residuals and Linear Bottlenecks:
 Mobile Networks for Classification, Detection and Segmentation" for more details.
 '''
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.nn.functional as F
-from ms_adapter.pytorch.nn import init
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.nn.functional as F
+from msadapter.pytorch.nn import init
 
 
 
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/multibox_loss.py b/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/multibox_loss.py
index c7b8a2c..ac31936 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/multibox_loss.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/multibox_loss.py
@@ -1,6 +1,6 @@
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.nn.functional as F
-import ms_adapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.nn.functional as F
+import msadapter.pytorch as torch
 
 
 from ..utils import box_utils
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/scaled_l2_norm.py b/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/scaled_l2_norm.py
index 08b6ac0..0cf59f6 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/scaled_l2_norm.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/scaled_l2_norm.py
@@ -1,6 +1,6 @@
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn.functional as F
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn.functional as F
 
 
 class ScaledL2Norm(nn.Module):
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/squeezenet.py b/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/squeezenet.py
index c2ffcb7..2316d2d 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/squeezenet.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/squeezenet.py
@@ -1,7 +1,7 @@
 import math
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.nn.init as init
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.nn.init as init
 
 
 __all__ = ['SqueezeNet', 'squeezenet1_0', 'squeezenet1_1']
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/vgg.py b/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/vgg.py
index 3e30453..12c4be3 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/vgg.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/vision/nn/vgg.py
@@ -1,4 +1,4 @@
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch.nn as nn
 
 
 # borrowed from https://github.com/amdegroot/ssd.pytorch/blob/master/ssd.py
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/vision/prunning/prunner.py b/official/cv/ssd/ssd_mobilenet_adapter/vision/prunning/prunner.py
index c191f68..1d94956 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/vision/prunning/prunner.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/vision/prunning/prunner.py
@@ -1,5 +1,5 @@
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 import logging
 from heapq import nsmallest
 
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/fpn_mobilenetv1_ssd.py b/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/fpn_mobilenetv1_ssd.py
index 2c25844..bba633c 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/fpn_mobilenetv1_ssd.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/fpn_mobilenetv1_ssd.py
@@ -1,5 +1,5 @@
-import ms_adapter.pytorch as torch
-from ms_adapter.pytorch.nn import Conv2d, Sequential, ModuleList, ReLU
+import msadapter.pytorch as torch
+from msadapter.pytorch.nn import Conv2d, Sequential, ModuleList, ReLU
 from ..nn.mobilenet import MobileNetV1
 
 from .fpn_ssd import FPNSSD
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/fpn_ssd.py b/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/fpn_ssd.py
index 5d0f1c3..7c2ee86 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/fpn_ssd.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/fpn_ssd.py
@@ -1,5 +1,5 @@
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch as torch
 import torch.nn.functional as F
 import numpy as np
 from typing import List, Tuple
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/mobilenet_v2_ssd_lite.py b/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/mobilenet_v2_ssd_lite.py
index fb4fcb3..8ae87fd 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/mobilenet_v2_ssd_lite.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/mobilenet_v2_ssd_lite.py
@@ -1,6 +1,6 @@
-import ms_adapter.pytorch as torch
-from ms_adapter.pytorch.nn import Conv2d, Sequential, ModuleList, BatchNorm2d
-from ms_adapter.pytorch import nn
+import msadapter.pytorch as torch
+from msadapter.pytorch.nn import Conv2d, Sequential, ModuleList, BatchNorm2d
+from msadapter.pytorch import nn
 from ..nn.mobilenet_v2 import MobileNetV2, InvertedResidual
 
 from .ssd import SSD, GraphPath
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/mobilenetv1_ssd.py b/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/mobilenetv1_ssd.py
index 22e131c..a2b8c51 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/mobilenetv1_ssd.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/mobilenetv1_ssd.py
@@ -1,5 +1,5 @@
-import ms_adapter.pytorch as torch
-from ms_adapter.pytorch.nn import Conv2d, Sequential, ModuleList, ReLU
+import msadapter.pytorch as torch
+from msadapter.pytorch.nn import Conv2d, Sequential, ModuleList, ReLU
 from ..nn.mobilenet import MobileNetV1
 
 from .ssd import SSD
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/mobilenetv1_ssd_lite.py b/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/mobilenetv1_ssd_lite.py
index 514cc1d..199a6de 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/mobilenetv1_ssd_lite.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/mobilenetv1_ssd_lite.py
@@ -1,5 +1,5 @@
-import ms_adapter.pytorch as tirch
-from ms_adapter.pytorch.nn import Conv2d, Sequential, ModuleList, ReLU, BatchNorm2d
+import msadapter.pytorch as tirch
+from msadapter.pytorch.nn import Conv2d, Sequential, ModuleList, ReLU, BatchNorm2d
 from ..nn.mobilenet import MobileNetV1
 
 from .ssd import SSD
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/mobilenetv3_ssd_lite.py b/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/mobilenetv3_ssd_lite.py
index 51d39a5..de39874 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/mobilenetv3_ssd_lite.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/mobilenetv3_ssd_lite.py
@@ -1,6 +1,6 @@
-import ms_adapter.pytorch as torch
-from ms_adapter.pytorch.nn import Conv2d, Sequential, ModuleList, BatchNorm2d
-from ms_adapter.pytorch import nn
+import msadapter.pytorch as torch
+from msadapter.pytorch.nn import Conv2d, Sequential, ModuleList, BatchNorm2d
+from msadapter.pytorch import nn
 from ..nn.mobilenetv3 import MobileNetV3_Large, MobileNetV3_Small, Block, hswish
 
 from .ssd import SSD
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/predictor.py b/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/predictor.py
index 4599901..75439d2 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/predictor.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/predictor.py
@@ -1,4 +1,4 @@
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 
 from ..utils import box_utils
 from .data_preprocessing import PredictionTransform
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/squeezenet_ssd_lite.py b/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/squeezenet_ssd_lite.py
index e514807..23d46b9 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/squeezenet_ssd_lite.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/squeezenet_ssd_lite.py
@@ -1,5 +1,5 @@
-import ms_adapter.pytorch as torch
-from ms_adapter.pytorch.nn import Conv2d, Sequential, ModuleList, ReLU
+import msadapter.pytorch as torch
+from msadapter.pytorch.nn import Conv2d, Sequential, ModuleList, ReLU
 from ..nn.squeezenet import squeezenet1_1
 
 from .ssd import SSD
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/ssd.py b/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/ssd.py
index 3b297a8..fd02052 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/ssd.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/ssd.py
@@ -1,8 +1,8 @@
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch as torch
 import numpy as np
 from typing import List, Tuple
-import ms_adapter.pytorch.nn.functional as F
+import msadapter.pytorch.nn.functional as F
 
 from ..utils import box_utils
 from collections import namedtuple
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/vgg_ssd.py b/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/vgg_ssd.py
index a7668ff..16f7c58 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/vgg_ssd.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/vision/ssd/vgg_ssd.py
@@ -1,5 +1,5 @@
-import ms_adapter.pytorch as torch
-from ms_adapter.pytorch.nn import Conv2d, Sequential, ModuleList, ReLU, BatchNorm2d
+import msadapter.pytorch as torch
+from msadapter.pytorch.nn import Conv2d, Sequential, ModuleList, ReLU, BatchNorm2d
 from ..nn.vgg import vgg
 
 from .ssd import SSD
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/vision/test/test_vgg_ssd.py b/official/cv/ssd/ssd_mobilenet_adapter/vision/test/test_vgg_ssd.py
index 06da170..156c76b 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/vision/test/test_vgg_ssd.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/vision/test/test_vgg_ssd.py
@@ -1,6 +1,6 @@
 from ..ssd.vgg_ssd import create_vgg_ssd
 
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 import tempfile
 
 
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/vision/transforms/transforms.py b/official/cv/ssd/ssd_mobilenet_adapter/vision/transforms/transforms.py
index d0381f8..9335af2 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/vision/transforms/transforms.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/vision/transforms/transforms.py
@@ -1,8 +1,8 @@
 # from https://github.com/amdegroot/ssd.pytorch
 
 
-import ms_adapter.pytorch as torch
-from ms_adapter.torchvision import transforms
+import msadapter.pytorch as torch
+from msadapter.torchvision import transforms
 import cv2
 import numpy as np
 import types
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/vision/utils/box_utils.py b/official/cv/ssd/ssd_mobilenet_adapter/vision/utils/box_utils.py
index 1512f61..bebc262 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/vision/utils/box_utils.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/vision/utils/box_utils.py
@@ -1,5 +1,5 @@
 import collections
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 import itertools
 from typing import List
 import math
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/vision/utils/misc.py b/official/cv/ssd/ssd_mobilenet_adapter/vision/utils/misc.py
index bf5611b..ee049b5 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/vision/utils/misc.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/vision/utils/misc.py
@@ -1,5 +1,5 @@
 import time
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 
 
 def str2bool(s):
diff --git a/official/cv/ssd/ssd_mobilenet_adapter/vision/utils/model_book.py b/official/cv/ssd/ssd_mobilenet_adapter/vision/utils/model_book.py
index 3fd7944..e86cb6e 100644
--- a/official/cv/ssd/ssd_mobilenet_adapter/vision/utils/model_book.py
+++ b/official/cv/ssd/ssd_mobilenet_adapter/vision/utils/model_book.py
@@ -1,5 +1,5 @@
 from collections import OrderedDict
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch.nn as nn
 
 
 class ModelBook:
diff --git a/official/cv/ssd/ssd_mobilenet_torch/run_ssd_live_demo.py b/official/cv/ssd/ssd_mobilenet_torch/run_ssd_live_demo.py
index 8f737cf..dd20263 100644
--- a/official/cv/ssd/ssd_mobilenet_torch/run_ssd_live_demo.py
+++ b/official/cv/ssd/ssd_mobilenet_torch/run_ssd_live_demo.py
@@ -7,7 +7,7 @@ from vision.ssd.mobilenetv3_ssd_lite import create_mobilenetv3_large_ssd_lite, c
 from vision.utils.misc import Timer
 import cv2
 import sys
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 
 if len(sys.argv) < 4:
     print('Usage: python run_ssd_example.py <net type>  <model path> <label path> [video file]')
diff --git a/official/cv/ssd/ssd_vgg_resnet_adapter/data/__init__.py b/official/cv/ssd/ssd_vgg_resnet_adapter/data/__init__.py
index e325b32..66cc707 100644
--- a/official/cv/ssd/ssd_vgg_resnet_adapter/data/__init__.py
+++ b/official/cv/ssd/ssd_vgg_resnet_adapter/data/__init__.py
@@ -2,7 +2,7 @@ from .voc0712 import VOCDetection, VOCAnnotationTransform, VOC_CLASSES, VOC_ROOT
 
 from .coco import COCODetection, COCOAnnotationTransform, COCO_CLASSES, COCO_ROOT, get_label_map
 from .config import *
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 import cv2
 import numpy as np
 
diff --git a/official/cv/ssd/ssd_vgg_resnet_adapter/data/coco.py b/official/cv/ssd/ssd_vgg_resnet_adapter/data/coco.py
index 523dfbe..e74fa0d 100644
--- a/official/cv/ssd/ssd_vgg_resnet_adapter/data/coco.py
+++ b/official/cv/ssd/ssd_vgg_resnet_adapter/data/coco.py
@@ -2,9 +2,9 @@ from .config import HOME
 import os
 import os.path as osp
 import sys
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.utils.data as data
-import ms_adapter.torchvision.transforms as transforms
+import msadapter.pytorch as torch
+import msadapter.pytorch.utils.data as data
+import msadapter.torchvision.transforms as transforms
 import cv2
 import numpy as np
 
diff --git a/official/cv/ssd/ssd_vgg_resnet_adapter/data/voc0712.py b/official/cv/ssd/ssd_vgg_resnet_adapter/data/voc0712.py
index f15f628..552b234 100644
--- a/official/cv/ssd/ssd_vgg_resnet_adapter/data/voc0712.py
+++ b/official/cv/ssd/ssd_vgg_resnet_adapter/data/voc0712.py
@@ -8,8 +8,8 @@ Updated by: Ellis Brown, Max deGroot
 from .config import HOME
 import os.path as osp
 import sys
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.utils.data as data
+import msadapter.pytorch as torch
+import msadapter.pytorch.utils.data as data
 import cv2
 import numpy as np
 if sys.version_info[0] == 2:
diff --git a/official/cv/ssd/ssd_vgg_resnet_adapter/demo/live.py b/official/cv/ssd/ssd_vgg_resnet_adapter/demo/live.py
index 7ac8c10..5bc3449 100644
--- a/official/cv/ssd/ssd_vgg_resnet_adapter/demo/live.py
+++ b/official/cv/ssd/ssd_vgg_resnet_adapter/demo/live.py
@@ -1,6 +1,6 @@
 from __future__ import print_function
-import ms_adapter.pytorch as torch
-from ms_adapter.pytorch import Tensor
+import msadapter.pytorch as torch
+from msadapter.pytorch import Tensor
 import cv2
 import time
 from imutils.video import FPS, WebcamVideoStream
diff --git a/official/cv/ssd/ssd_vgg_resnet_adapter/eval.py b/official/cv/ssd/ssd_vgg_resnet_adapter/eval.py
index 5ebc37b..e103166 100644
--- a/official/cv/ssd/ssd_vgg_resnet_adapter/eval.py
+++ b/official/cv/ssd/ssd_vgg_resnet_adapter/eval.py
@@ -5,8 +5,8 @@
 """
 
 from __future__ import print_function
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 from data import VOC_ROOT, VOCAnnotationTransform, VOCDetection, BaseTransform
 from data import VOC_CLASSES as labelmap
 import torch.utils.data as data
diff --git a/official/cv/ssd/ssd_vgg_resnet_adapter/layers/box_utils.py b/official/cv/ssd/ssd_vgg_resnet_adapter/layers/box_utils.py
index 405c3d5..d3126c4 100644
--- a/official/cv/ssd/ssd_vgg_resnet_adapter/layers/box_utils.py
+++ b/official/cv/ssd/ssd_vgg_resnet_adapter/layers/box_utils.py
@@ -1,5 +1,5 @@
 # -*- coding: utf-8 -*-
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 
 
 def point_form(boxes):
diff --git a/official/cv/ssd/ssd_vgg_resnet_adapter/layers/functions/detection.py b/official/cv/ssd/ssd_vgg_resnet_adapter/layers/functions/detection.py
index f6fc332..709701d 100644
--- a/official/cv/ssd/ssd_vgg_resnet_adapter/layers/functions/detection.py
+++ b/official/cv/ssd/ssd_vgg_resnet_adapter/layers/functions/detection.py
@@ -1,6 +1,6 @@
 import numpy as np
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 from ..box_utils import decode, nms
 from data import voc as cfg
 
diff --git a/official/cv/ssd/ssd_vgg_resnet_adapter/layers/functions/prior_box.py b/official/cv/ssd/ssd_vgg_resnet_adapter/layers/functions/prior_box.py
index b8447d0..0213cc1 100644
--- a/official/cv/ssd/ssd_vgg_resnet_adapter/layers/functions/prior_box.py
+++ b/official/cv/ssd/ssd_vgg_resnet_adapter/layers/functions/prior_box.py
@@ -1,7 +1,7 @@
 from __future__ import division
 from math import sqrt as sqrt
 from itertools import product as product
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 
 
 class PriorBox(object):
diff --git a/official/cv/ssd/ssd_vgg_resnet_adapter/layers/modules/l2norm.py b/official/cv/ssd/ssd_vgg_resnet_adapter/layers/modules/l2norm.py
index 8c5f948..187096a 100644
--- a/official/cv/ssd/ssd_vgg_resnet_adapter/layers/modules/l2norm.py
+++ b/official/cv/ssd/ssd_vgg_resnet_adapter/layers/modules/l2norm.py
@@ -1,6 +1,6 @@
-import ms_adapter.pytorch as torch
-from ms_adapter.pytorch import nn
-from ms_adapter.pytorch.nn import init
+import msadapter.pytorch as torch
+from msadapter.pytorch import nn
+from msadapter.pytorch.nn import init
 
 class L2Norm(nn.Module):
     def __init__(self,n_channels, scale):
diff --git a/official/cv/ssd/ssd_vgg_resnet_adapter/layers/modules/multibox_loss.py b/official/cv/ssd/ssd_vgg_resnet_adapter/layers/modules/multibox_loss.py
index 80d3904..ce6f4df 100644
--- a/official/cv/ssd/ssd_vgg_resnet_adapter/layers/modules/multibox_loss.py
+++ b/official/cv/ssd/ssd_vgg_resnet_adapter/layers/modules/multibox_loss.py
@@ -1,7 +1,7 @@
 # -*- coding: utf-8 -*-
-import ms_adapter.pytorch as torch
-from ms_adapter.pytorch import nn
-import ms_adapter.pytorch.nn.functional as F
+import msadapter.pytorch as torch
+from msadapter.pytorch import nn
+import msadapter.pytorch.nn.functional as F
 from torch import tensor as Variable
 from data import coco as cfg
 from ..box_utils import match, log_sum_exp
diff --git a/official/cv/ssd/ssd_vgg_resnet_adapter/ssd.py b/official/cv/ssd/ssd_vgg_resnet_adapter/ssd.py
index 1db9519..6c64d40 100644
--- a/official/cv/ssd/ssd_vgg_resnet_adapter/ssd.py
+++ b/official/cv/ssd/ssd_vgg_resnet_adapter/ssd.py
@@ -1,6 +1,6 @@
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-from ms_adapter.pytorch.nn import functional as F
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+from msadapter.pytorch.nn import functional as F
 from layers import *
 from data import voc, coco
 import os
diff --git a/official/cv/ssd/ssd_vgg_resnet_adapter/test.py b/official/cv/ssd/ssd_vgg_resnet_adapter/test.py
index 6b83bdb..c4ffcdc 100644
--- a/official/cv/ssd/ssd_vgg_resnet_adapter/test.py
+++ b/official/cv/ssd/ssd_vgg_resnet_adapter/test.py
@@ -2,12 +2,12 @@ from __future__ import print_function
 import sys
 import os
 import argparse
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 import torch.nn as nn
 from data import VOC_ROOT, VOC_CLASSES as labelmap
 from PIL import Image
 from data import VOCAnnotationTransform, VOCDetection, BaseTransform, VOC_CLASSES
-import ms_adapter.pytorch.utils.data as data
+import msadapter.pytorch.utils.data as data
 from ssd import build_ssd
 import mindspore as ms
 
diff --git a/official/cv/ssd/ssd_vgg_resnet_adapter/train.py b/official/cv/ssd/ssd_vgg_resnet_adapter/train.py
index 664bbc5..bc2e809 100644
--- a/official/cv/ssd/ssd_vgg_resnet_adapter/train.py
+++ b/official/cv/ssd/ssd_vgg_resnet_adapter/train.py
@@ -5,12 +5,12 @@ from ssd import build_ssd
 import os
 import sys
 import time
-import ms_adapter.pytorch as torch
-from ms_adapter.pytorch.autograd import Variable
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.optim as optim
-import ms_adapter.pytorch.nn.init as init
-import ms_adapter.pytorch.utils.data as data
+import msadapter.pytorch as torch
+from msadapter.pytorch.autograd import Variable
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.optim as optim
+import msadapter.pytorch.nn.init as init
+import msadapter.pytorch.utils.data as data
 import mindspore as ms
 import numpy as np
 import argparse
diff --git a/official/cv/ssd/ssd_vgg_resnet_adapter/utils/augmentations.py b/official/cv/ssd/ssd_vgg_resnet_adapter/utils/augmentations.py
index 2f97ea4..90407ef 100644
--- a/official/cv/ssd/ssd_vgg_resnet_adapter/utils/augmentations.py
+++ b/official/cv/ssd/ssd_vgg_resnet_adapter/utils/augmentations.py
@@ -1,5 +1,5 @@
-import ms_adapter.pytorch as torch
-from ms_adapter.torchvision import transforms
+import msadapter.pytorch as torch
+from msadapter.torchvision import transforms
 import cv2
 import numpy as np
 import types
diff --git a/official/cv/tinydarknet/msa_model.py b/official/cv/tinydarknet/msa_model.py
index a76dbb6..34ece7e 100644
--- a/official/cv/tinydarknet/msa_model.py
+++ b/official/cv/tinydarknet/msa_model.py
@@ -1,6 +1,6 @@
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.nn.functional as F
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.nn.functional as F
 
 __all__ = ['TinyDarknet']
 
diff --git a/official/cv/tinydarknet/train.py b/official/cv/tinydarknet/train.py
index 0fe5e1d..c4d21d3 100644
--- a/official/cv/tinydarknet/train.py
+++ b/official/cv/tinydarknet/train.py
@@ -6,11 +6,11 @@ import shutil
 from mindspore import ops
 import mindspore as ms
 
-import ms_adapter.pytorch as torch
-from ms_adapter.pytorch.utils.data import DataLoader
-from ms_adapter.pytorch import nn
-from ms_adapter.torchvision import transforms
-import ms_adapter.torchvision.datasets as datasets
+import msadapter.pytorch as torch
+from msadapter.pytorch.utils.data import DataLoader
+from msadapter.pytorch import nn
+from msadapter.torchvision import transforms
+import msadapter.torchvision.datasets as datasets
 
 from msa_model import tinydarknet
 
diff --git a/official/nlp/BERT/requirements.txt b/official/nlp/BERT/requirements.txt
index 354c1f1..1b5acbc 100644
--- a/official/nlp/BERT/requirements.txt
+++ b/official/nlp/BERT/requirements.txt
@@ -4,7 +4,7 @@ nltk
 gensim
 numpy
 tqdm
-ms-adapter
+msadapter
 torch==1.12.1
 mindspore>=2.0
 
diff --git a/official/nlp/gpt/gpt-msa/data_utils.py b/official/nlp/gpt/gpt-msa/data_utils.py
index 95380e5..dac8fac 100644
--- a/official/nlp/gpt/gpt-msa/data_utils.py
+++ b/official/nlp/gpt/gpt-msa/data_utils.py
@@ -2,8 +2,8 @@ from typing import Iterable, Union, List
 from pathlib import Path
 import json
 
-import ms_adapter.pytorch as torch
-from ms_adapter.pytorch.utils.data import TensorDataset
+import msadapter.pytorch as torch
+from msadapter.pytorch.utils.data import TensorDataset
 import mindspore as ms
 
 
diff --git a/official/nlp/gpt/gpt-msa/main.py b/official/nlp/gpt/gpt-msa/main.py
index fc33ecb..78301d3 100644
--- a/official/nlp/gpt/gpt-msa/main.py
+++ b/official/nlp/gpt/gpt-msa/main.py
@@ -1,7 +1,7 @@
 import argparse
 
-import ms_adapter.pytorch as torch
-from ms_adapter.pytorch.utils.data import DataLoader, RandomSampler
+import msadapter.pytorch as torch
+from msadapter.pytorch.utils.data import DataLoader, RandomSampler
 import mindspore as ms
 
 from data_utils import create_examples
diff --git a/official/nlp/gpt/gpt-msa/model.py b/official/nlp/gpt/gpt-msa/model.py
index 60b07ec..0756f1e 100644
--- a/official/nlp/gpt/gpt-msa/model.py
+++ b/official/nlp/gpt/gpt-msa/model.py
@@ -1,5 +1,5 @@
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 
 
 class ScaledDotProductAttention(nn.Module):
diff --git a/official/nlp/gpt/gpt-msa/trainer.py b/official/nlp/gpt/gpt-msa/trainer.py
index 002d535..0b741ec 100644
--- a/official/nlp/gpt/gpt-msa/trainer.py
+++ b/official/nlp/gpt/gpt-msa/trainer.py
@@ -3,9 +3,9 @@ import json
 from pathlib import Path
 from collections import OrderedDict
 
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-from ms_adapter.pytorch.optim import Adam
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+from msadapter.pytorch.optim import Adam
 import mindspore as ms
 
 from model import GPT, GPTLMHead, GPTClsHead
diff --git a/official/nlp/lstm/ms_lstm.py b/official/nlp/lstm/ms_lstm.py
index 3b05172..c0da088 100644
--- a/official/nlp/lstm/ms_lstm.py
+++ b/official/nlp/lstm/ms_lstm.py
@@ -1,8 +1,8 @@
 import numpy as np
 
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.optim as optim
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.optim as optim
 import mindspore as ms
 
 from time import time
diff --git a/official/nlp/lstm/requirements.txt b/official/nlp/lstm/requirements.txt
index 9c131c2..f898003 100644
--- a/official/nlp/lstm/requirements.txt
+++ b/official/nlp/lstm/requirements.txt
@@ -1,5 +1,5 @@
 numpy
-ms-adapter
+msadapter
 torch==1.12.1
 mindspore>=2.0
 
diff --git a/official/recommend/deepfm/deepfm_adapter/data/dataset.py b/official/recommend/deepfm/deepfm_adapter/data/dataset.py
index 01348f9..f356ba4 100644
--- a/official/recommend/deepfm/deepfm_adapter/data/dataset.py
+++ b/official/recommend/deepfm/deepfm_adapter/data/dataset.py
@@ -1,5 +1,5 @@
-import ms_adapter.pytorch as torch
-from ms_adapter.pytorch.utils.data import Dataset
+import msadapter.pytorch as torch
+from msadapter.pytorch.utils.data import Dataset
 import pandas as pd
 import numpy as np
 import os
diff --git a/official/recommend/deepfm/deepfm_adapter/main.py b/official/recommend/deepfm/deepfm_adapter/main.py
index 3c966d2..ff824e4 100644
--- a/official/recommend/deepfm/deepfm_adapter/main.py
+++ b/official/recommend/deepfm/deepfm_adapter/main.py
@@ -1,8 +1,8 @@
 import numpy as np
 
-import ms_adapter.pytorch.optim as optim
-from ms_adapter.pytorch.utils.data import DataLoader
-from ms_adapter.pytorch.utils.data import sampler
+import msadapter.pytorch.optim as optim
+from msadapter.pytorch.utils.data import DataLoader
+from msadapter.pytorch.utils.data import sampler
 
 from model.DeepFM import DeepFM
 from data.dataset import CriteoDataset
diff --git a/official/recommend/deepfm/deepfm_adapter/model/DeepFM.py b/official/recommend/deepfm/deepfm_adapter/model/DeepFM.py
index 0385bbf..05a05d0 100644
--- a/official/recommend/deepfm/deepfm_adapter/model/DeepFM.py
+++ b/official/recommend/deepfm/deepfm_adapter/model/DeepFM.py
@@ -4,9 +4,9 @@
 A pytorch implementation of DeepFM for rates prediction problem.
 """
 
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.nn.functional as F
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.nn.functional as F
 import mindspore as ms
 
 
diff --git a/research/C3D&R3D&R(2+1)D/adapter-video-recognition-master/dataloaders/dataset.py b/research/C3D&R3D&R(2+1)D/adapter-video-recognition-master/dataloaders/dataset.py
index 2f74cc1..410622d 100644
--- a/research/C3D&R3D&R(2+1)D/adapter-video-recognition-master/dataloaders/dataset.py
+++ b/research/C3D&R3D&R(2+1)D/adapter-video-recognition-master/dataloaders/dataset.py
@@ -1,10 +1,10 @@
 import os
 from sklearn.model_selection import train_test_split
 
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 import cv2
 import numpy as np
-from ms_adapter.pytorch.utils.data import Dataset
+from msadapter.pytorch.utils.data import Dataset
 from mypath import Path
 
 
diff --git a/research/C3D&R3D&R(2+1)D/adapter-video-recognition-master/inference.py b/research/C3D&R3D&R(2+1)D/adapter-video-recognition-master/inference.py
index cb0861b..f71ef8a 100644
--- a/research/C3D&R3D&R(2+1)D/adapter-video-recognition-master/inference.py
+++ b/research/C3D&R3D&R(2+1)D/adapter-video-recognition-master/inference.py
@@ -1,4 +1,4 @@
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 import numpy as np
 from network import R2Plus1D_model
 import cv2
diff --git a/research/C3D&R3D&R(2+1)D/adapter-video-recognition-master/network/C3D_model.py b/research/C3D&R3D&R(2+1)D/adapter-video-recognition-master/network/C3D_model.py
index 6cf5a5a..e113267 100644
--- a/research/C3D&R3D&R(2+1)D/adapter-video-recognition-master/network/C3D_model.py
+++ b/research/C3D&R3D&R(2+1)D/adapter-video-recognition-master/network/C3D_model.py
@@ -1,5 +1,5 @@
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 from mypath import Path
 
 class C3D(nn.Module):
diff --git a/research/C3D&R3D&R(2+1)D/adapter-video-recognition-master/network/R2Plus1D_model.py b/research/C3D&R3D&R(2+1)D/adapter-video-recognition-master/network/R2Plus1D_model.py
index 08f871c..6022217 100644
--- a/research/C3D&R3D&R(2+1)D/adapter-video-recognition-master/network/R2Plus1D_model.py
+++ b/research/C3D&R3D&R(2+1)D/adapter-video-recognition-master/network/R2Plus1D_model.py
@@ -1,6 +1,6 @@
 import math
-import ms_adapter.pytorch.nn as nn
-from ms_adapter.pytorch.nn.modules.utils import _triple
+import msadapter.pytorch.nn as nn
+from msadapter.pytorch.nn.modules.utils import _triple
 
 
 class SpatioTemporalConv(nn.Module):
@@ -289,7 +289,7 @@ def get_10x_lr_params(model):
                 yield k
 
 if __name__ == "__main__":
-    import ms_adapter.pytorch as torch
+    import msadapter.pytorch as torch
     inputs = torch.rand(1, 3, 16, 112, 112)
     net = R2Plus1DClassifier(101, (2, 2, 2, 2), pretrained=False)
 
diff --git a/research/C3D&R3D&R(2+1)D/adapter-video-recognition-master/network/R3D_model.py b/research/C3D&R3D&R(2+1)D/adapter-video-recognition-master/network/R3D_model.py
index 3bf6692..8451db9 100644
--- a/research/C3D&R3D&R(2+1)D/adapter-video-recognition-master/network/R3D_model.py
+++ b/research/C3D&R3D&R(2+1)D/adapter-video-recognition-master/network/R3D_model.py
@@ -1,6 +1,6 @@
 import math
-import ms_adapter.pytorch.nn as nn
-from ms_adapter.pytorch.nn.modules.utils import _triple
+import msadapter.pytorch.nn as nn
+from msadapter.pytorch.nn.modules.utils import _triple
 
 class SpatioTemporalConv(nn.Module):
     r"""Applies a factored 3D convolution over an input signal composed of several input
@@ -228,7 +228,7 @@ def get_10x_lr_params(model):
                 yield k
 
 if __name__ == "__main__":
-    import ms_adapter.pytorch as torch
+    import msadapter.pytorch as torch
     inputs = torch.rand(1, 3, 16, 112, 112)
     net = R3DClassifier(101, (2, 2, 2, 2), pretrained=True)
 
diff --git a/research/C3D&R3D&R(2+1)D/adapter-video-recognition-master/network/Untitled.ipynb b/research/C3D&R3D&R(2+1)D/adapter-video-recognition-master/network/Untitled.ipynb
index 76d0c3e..f1910b5 100644
--- a/research/C3D&R3D&R(2+1)D/adapter-video-recognition-master/network/Untitled.ipynb
+++ b/research/C3D&R3D&R(2+1)D/adapter-video-recognition-master/network/Untitled.ipynb
@@ -306,7 +306,7 @@
     }
    ],
    "source": [
-    "import ms_adapter.pytorch as mstorch\n",
+    "import msadapter.pytorch as mstorch\n",
     "import torch as pytorch\n",
     "import numpy as np\n",
     "import mindspore as ms\n",
diff --git a/research/C3D&R3D&R(2+1)D/adapter-video-recognition-master/train.py b/research/C3D&R3D&R(2+1)D/adapter-video-recognition-master/train.py
index 11e31ef..ffa7e73 100644
--- a/research/C3D&R3D&R(2+1)D/adapter-video-recognition-master/train.py
+++ b/research/C3D&R3D&R(2+1)D/adapter-video-recognition-master/train.py
@@ -6,11 +6,11 @@ import glob
 from tqdm import tqdm
 import mindspore as ms
 
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 from tensorboardX import SummaryWriter
-from ms_adapter.pytorch import nn, optim
-from ms_adapter.pytorch.utils.data import DataLoader
-#from ms_adapter.pytorch.autograd import Variable
+from msadapter.pytorch import nn, optim
+from msadapter.pytorch.utils.data import DataLoader
+#from msadapter.pytorch.autograd import Variable
 
 from dataloaders.dataset import VideoDataset
 from network import C3D_model, R2Plus1D_model, R3D_model
diff --git a/research/brdnet/brdnet_msa/batchrenorm/batchrenorm.py b/research/brdnet/brdnet_msa/batchrenorm/batchrenorm.py
index 8422553..a83adc6 100644
--- a/research/brdnet/brdnet_msa/batchrenorm/batchrenorm.py
+++ b/research/brdnet/brdnet_msa/batchrenorm/batchrenorm.py
@@ -1,5 +1,5 @@
 # import torch
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 
 
 __all__ = ["BatchRenorm1d", "BatchRenorm2d", "BatchRenorm3d"]
diff --git a/research/brdnet/brdnet_msa/dataset.py b/research/brdnet/brdnet_msa/dataset.py
index 7203ad4..c340911 100644
--- a/research/brdnet/brdnet_msa/dataset.py
+++ b/research/brdnet/brdnet_msa/dataset.py
@@ -3,7 +3,7 @@ import os
 from glob import glob
 import numpy as np
 # from torch.utils.data import Dataset, DataLoader
-from ms_adapter.pytorch.utils.data import Dataset, DataLoader
+from msadapter.pytorch.utils.data import Dataset, DataLoader
 # from libtiff import TIFF
 import random
 from utils.tools import *
diff --git a/research/brdnet/brdnet_msa/main.py b/research/brdnet/brdnet_msa/main.py
index f349967..0380888 100644
--- a/research/brdnet/brdnet_msa/main.py
+++ b/research/brdnet/brdnet_msa/main.py
@@ -2,15 +2,15 @@
 # import torch
 # import torch.nn as nn
 # import torch.optim as optim
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.optim as optim
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.optim as optim
 
 import os
 import argparse
 # from torch.backends import cudnn
 # from torch.utils.data import DataLoader
-from ms_adapter.pytorch.utils.data import DataLoader
+from msadapter.pytorch.utils.data import DataLoader
 
 from dataset import CTDataset
 from models import BRDNet
diff --git a/research/brdnet/brdnet_msa/models.py b/research/brdnet/brdnet_msa/models.py
index a4a8cd2..b173754 100644
--- a/research/brdnet/brdnet_msa/models.py
+++ b/research/brdnet/brdnet_msa/models.py
@@ -3,8 +3,8 @@ import os
 import numpy as np
 # import torch
 # import torch.nn as nn
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 from .batchrenorm import BatchRenorm2d
 
 
diff --git a/research/brdnet/cmp_msa_torch.py b/research/brdnet/cmp_msa_torch.py
index a4f64ba..523666f 100644
--- a/research/brdnet/cmp_msa_torch.py
+++ b/research/brdnet/cmp_msa_torch.py
@@ -1,6 +1,6 @@
 import numpy as np
 
-import ms_adapter.pytorch as m_torch
+import msadapter.pytorch as m_torch
 
 import mindspore as ms
 from mindspore import Tensor, save_checkpoint
diff --git a/research/cv/doing/yolov5/common.py b/research/cv/doing/yolov5/common.py
index e7f20a4..bbf2427 100644
--- a/research/cv/doing/yolov5/common.py
+++ b/research/cv/doing/yolov5/common.py
@@ -4,13 +4,13 @@ import os
 from copy import copy
 from pathlib import Path
 from urllib.error import URLError
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 import cv2
 import matplotlib
 import matplotlib.pyplot as plt
 import numpy as np
-from ms_adapter.pytorch import nn
-from ms_adapter.pytorch.nn import functional as F
+from msadapter.pytorch import nn
+from msadapter.pytorch.nn import functional as F
 
 # from torch import nn
 # import torch
diff --git a/research/cv/doing/yolov5/model.py b/research/cv/doing/yolov5/model.py
index 838108f..8e17150 100644
--- a/research/cv/doing/yolov5/model.py
+++ b/research/cv/doing/yolov5/model.py
@@ -3,8 +3,8 @@ import os
 from copy import deepcopy
 from pathlib import Path
 import logging
-import ms_adapter.pytorch as torch
-from ms_adapter.pytorch import nn
+import msadapter.pytorch as torch
+from msadapter.pytorch import nn
 # from torch import nn
 # import torch
 from common import feature_visualization, Conv, DWConv, fuse_conv_and_bn, C3, SPPF
diff --git a/research/cv/done/Retinanet/Untitled.ipynb b/research/cv/done/Retinanet/Untitled.ipynb
index d785728..7081efd 100644
--- a/research/cv/done/Retinanet/Untitled.ipynb
+++ b/research/cv/done/Retinanet/Untitled.ipynb
@@ -21,7 +21,7 @@
     "from mindspore import context\n",
     "import mindspore as ms\n",
     "context.set_context(mode=ms.PYNATIVE_MODE, device_target='GPU')\n",
-    "import ms_adapter.pytorch as torch\n",
+    "import msadapter.pytorch as torch\n",
     "\n",
     "\n",
     "box1 = torch.Tensor(3,3)\n",
@@ -37,7 +37,7 @@
     {
      "data": {
       "text/plain": [
-       "ms_adapter.pytorch.nn.modules.conv.ConvTranspose3d"
+       "msadapter.pytorch.nn.modules.conv.ConvTranspose3d"
       ]
      },
      "execution_count": 3,
@@ -91,7 +91,7 @@
     "from mindspore import context\n",
     "import mindspore as ms\n",
     "context.set_context(mode=ms.PYNATIVE_MODE, device_target='CPU')\n",
-    "import ms_adapter.pytorch as torch\n",
+    "import msadapter.pytorch as torch\n",
     "\n",
     "box1 = torch.Tensor(3,3)\n",
     "box1.new().resize_as_(torch.Tensor(199)).shape\n"
@@ -112,7 +112,7 @@
     }
    ],
    "source": [
-    "import ms_adapter.pytorch as pytorch\n",
+    "import msadapter.pytorch as pytorch\n",
     "import numpy as np\n",
     "a = pytorch.tensor(np.zeros((0,)), dtype=pytorch.float32)\n",
     "b = pytorch.tensor(np.zeros((199,)), dtype=pytorch.float32)\n",
@@ -154,8 +154,8 @@
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
       "\u001b[0;32m/tmp/ipykernel_8023/3213118105.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0mbox1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTensor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0mbox1\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnew\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresize_as_\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTensor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m199\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m~/.local/lib/python3.7/site-packages/ms_adapter-0.0.1a0-py3.7.egg/ms_adapter/pytorch/tensor.py\u001b[0m in \u001b[0;36mresize_as_\u001b[0;34m(self, tensor, memory_format)\u001b[0m\n\u001b[1;32m   1023\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1024\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mresize_as_\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtensor\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmemory_format\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1025\u001b[0;31m         \u001b[0moutput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresize_as\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtensor\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmemory_format\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1026\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0m_tensor_inplace_assign\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moutput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"resize_as_\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"resize_as\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1027\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/.local/lib/python3.7/site-packages/ms_adapter-0.0.1a0-py3.7.egg/ms_adapter/pytorch/tensor.py\u001b[0m in \u001b[0;36mresize_as\u001b[0;34m(self, tensor, memory_format)\u001b[0m\n\u001b[1;32m   1019\u001b[0m         \u001b[0minput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcast_to_ms_tensor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1020\u001b[0m         \u001b[0msize\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtensor\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1021\u001b[0;31m         \u001b[0mout\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msize\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1022\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mcast_to_adapter_tensor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1023\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.7/site-packages/msadapter-0.0.1a0-py3.7.egg/msadapter/pytorch/tensor.py\u001b[0m in \u001b[0;36mresize_as_\u001b[0;34m(self, tensor, memory_format)\u001b[0m\n\u001b[1;32m   1023\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1024\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mresize_as_\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtensor\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmemory_format\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1025\u001b[0;31m         \u001b[0moutput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresize_as\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtensor\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmemory_format\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1026\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0m_tensor_inplace_assign\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moutput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"resize_as_\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"resize_as\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1027\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.7/site-packages/msadapter-0.0.1a0-py3.7.egg/msadapter/pytorch/tensor.py\u001b[0m in \u001b[0;36mresize_as\u001b[0;34m(self, tensor, memory_format)\u001b[0m\n\u001b[1;32m   1019\u001b[0m         \u001b[0minput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcast_to_ms_tensor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1020\u001b[0m         \u001b[0msize\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtensor\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1021\u001b[0;31m         \u001b[0mout\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msize\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1022\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mcast_to_adapter_tensor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1023\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;32m/opt/conda/lib/python3.7/site-packages/mindspore/common/tensor.py\u001b[0m in \u001b[0;36mresize\u001b[0;34m(self, *new_shape)\u001b[0m\n\u001b[1;32m   2565\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnew_shape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2566\u001b[0m                 \u001b[0mnew_shape\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnew_shape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2567\u001b[0;31m         \u001b[0mflattened\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mravel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2568\u001b[0m         \u001b[0mcur_size\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mflattened\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msize\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2569\u001b[0m         \u001b[0mnew_size\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtensor_operator_registry\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'shape_mul'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnew_shape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;32m/opt/conda/lib/python3.7/site-packages/mindspore/common/tensor.py\u001b[0m in \u001b[0;36mravel\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1724\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_init_check\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1725\u001b[0m         \u001b[0mreshape_op\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtensor_operator_registry\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'reshape'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1726\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mreshape_op\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1727\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1728\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mround\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;32m/opt/conda/lib/python3.7/site-packages/mindspore/ops/primitive.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m    312\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mshould_elim\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    313\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0moutput\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 314\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0m_run_op\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    315\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    316\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__getstate__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
@@ -170,7 +170,7 @@
     "from mindspore import context\n",
     "import mindspore as ms\n",
     "context.set_context(mode=ms.PYNATIVE_MODE, device_target='CPU')\n",
-    "import ms_adapter.pytorch as torch\n",
+    "import msadapter.pytorch as torch\n",
     "\n",
     "\n",
     "box1 = torch.Tensor(3,3)\n",
@@ -198,7 +198,7 @@
     "from mindspore import context\n",
     "import mindspore as ms\n",
     "context.set_context(mode=ms.PYNATIVE_MODE, device_target='GPU')\n",
-    "import ms_adapter.pytorch as torch\n",
+    "import msadapter.pytorch as torch\n",
     "\n",
     "\n",
     "box1 = torch.Tensor(3,3)\n",
@@ -226,7 +226,7 @@
     "from mindspore import context\n",
     "import mindspore as ms\n",
     "context.set_context(mode=ms.PYNATIVE_MODE, device_target='GPU')\n",
-    "import ms_adapter.pytorch as torch\n",
+    "import msadapter.pytorch as torch\n",
     "\n",
     "\n",
     "box1 = torch.Tensor(3,3)\n",
@@ -480,7 +480,7 @@
     "from mindspore import context\n",
     "import mindspore as ms\n",
     "context.set_context(mode=ms.PYNATIVE_MODE, device_target='GPU')\n",
-    "import ms_adapter.pytorch as torch\n",
+    "import msadapter.pytorch as torch\n",
     "\n",
     "\n",
     "box1 = torch.Tensor(3,3)\n",
@@ -520,7 +520,7 @@
     {
      "data": {
       "text/plain": [
-       "<module 'ms_adapter.pytorch' from '/root/.local/lib/python3.7/site-packages/ms_adapter-0.0.1a0-py3.7.egg/ms_adapter/pytorch/__init__.py'>"
+       "<module 'msadapter.pytorch' from '/root/.local/lib/python3.7/site-packages/msadapter-0.0.1a0-py3.7.egg/msadapter/pytorch/__init__.py'>"
       ]
      },
      "execution_count": 6,
@@ -559,7 +559,7 @@
     }
    ],
    "source": [
-    "import ms_adapter.pytorch as torch\n",
+    "import msadapter.pytorch as torch\n",
     "lst = []\n",
     "x = torch.Tensor(1, 3, 10)\n",
     "print(x.shape)\n",
@@ -593,24 +593,24 @@
       "x.shape: torch.Size([0])\n",
       "x1.shape torch.Size([2, 3])\n",
       "after cat:: torch.Size([2, 3])\n",
-      "ms_adapter-------------------------> :\n"
+      "msadapter-------------------------> :\n"
      ]
     },
     {
      "ename": "ValueError",
-     "evalue": "Until now, For 'ms_adapter.pytorch.zeros', the size of `size` sholud bigger than 1, but got 1.",
+     "evalue": "Until now, For 'msadapter.pytorch.zeros', the size of `size` sholud bigger than 1, but got 1.",
      "output_type": "error",
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "\u001b[0;32m/tmp/ipykernel_10939/443952930.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     10\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'ms_adapter-------------------------> :'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m \u001b[0my\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mms_torch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mzeros\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     13\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'y.shape:'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m \u001b[0my1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mms_torch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTensor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/.local/lib/python3.7/site-packages/ms_adapter-0.0.1a0-py3.7.egg/ms_adapter/pytorch/functional.py\u001b[0m in \u001b[0;36mzeros\u001b[0;34m(out, dtype, device, requires_grad, *size)\u001b[0m\n\u001b[1;32m    165\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msize\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    166\u001b[0m         raise ValueError(\"Until now, For 'ms_adapter.pytorch.zeros', the size of `size` sholud bigger than 1, \"\n\u001b[0;32m--> 167\u001b[0;31m                          \"but got {}.\".format(len(size)))\n\u001b[0m\u001b[1;32m    168\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    169\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mdtype\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mValueError\u001b[0m: Until now, For 'ms_adapter.pytorch.zeros', the size of `size` sholud bigger than 1, but got 1."
+      "\u001b[0;32m/tmp/ipykernel_10939/443952930.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     10\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'msadapter-------------------------> :'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m \u001b[0my\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mms_torch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mzeros\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     13\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'y.shape:'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m \u001b[0my1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mms_torch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTensor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.7/site-packages/msadapter-0.0.1a0-py3.7.egg/msadapter/pytorch/functional.py\u001b[0m in \u001b[0;36mzeros\u001b[0;34m(out, dtype, device, requires_grad, *size)\u001b[0m\n\u001b[1;32m    165\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msize\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    166\u001b[0m         raise ValueError(\"Until now, For 'msadapter.pytorch.zeros', the size of `size` sholud bigger than 1, \"\n\u001b[0;32m--> 167\u001b[0;31m                          \"but got {}.\".format(len(size)))\n\u001b[0m\u001b[1;32m    168\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    169\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mdtype\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mValueError\u001b[0m: Until now, For 'msadapter.pytorch.zeros', the size of `size` sholud bigger than 1, but got 1."
      ]
     }
    ],
    "source": [
-    "import ms_adapter.pytorch as ms_torch\n",
+    "import msadapter.pytorch as ms_torch\n",
     "import torch\n",
     "\n",
     "print('pytorch-------------------------> :')\n",
@@ -620,7 +620,7 @@
     "print('x1.shape', x1.shape)\n",
     "print('after cat::', torch.cat((x, x1)).shape)\n",
     "\n",
-    "print('ms_adapter-------------------------> :')\n",
+    "print('msadapter-------------------------> :')\n",
     "y = ms_torch.zeros([0,])\n",
     "print('y.shape:', y.shape)\n",
     "y1 = ms_torch.Tensor(2,3)\n",
@@ -671,13 +671,13 @@
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m/tmp/ipykernel_11431/1499174658.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0mx1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTensor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'x1.shape'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx1\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 9\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'after cat::'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mempty\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     10\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'ms_adapter-------------------------> :'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/tmp/ipykernel_11431/1499174658.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0mx1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTensor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'x1.shape'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx1\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 9\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'after cat::'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mempty\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     10\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'msadapter-------------------------> :'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mTypeError\u001b[0m: empty() received an invalid combination of arguments - got (), but expected one of:\n * (tuple of ints size, *, tuple of names names, torch.memory_format memory_format, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)\n * (tuple of ints size, *, torch.memory_format memory_format, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)\n"
      ]
     }
    ],
    "source": [
-    "import ms_adapter.pytorch as ms_torch\n",
+    "import msadapter.pytorch as ms_torch\n",
     "import torch\n",
     "\n",
     "print('pytorch-------------------------> :')\n",
@@ -687,7 +687,7 @@
     "print('x1.shape', x1.shape)\n",
     "print('after cat::', torch.cat((torch.empty(), x1)).shape)\n",
     "\n",
-    "print('ms_adapter-------------------------> :')\n",
+    "print('msadapter-------------------------> :')\n",
     "y = ms_torch.zeros([0,])\n",
     "print('y.shape:', y.shape)\n",
     "y1 = ms_torch.Tensor(2,3)\n",
diff --git a/research/cv/done/Retinanet/setting.py b/research/cv/done/Retinanet/setting.py
index b40a034..3f2301a 100644
--- a/research/cv/done/Retinanet/setting.py
+++ b/research/cv/done/Retinanet/setting.py
@@ -11,11 +11,11 @@ opt = parser.parse_args()
 
     
 if opt.mode == 'adapter':
-    import ms_adapter.pytorch as torch
-    import ms_adapter.pytorch.nn as nn
-    import ms_adapter.pytorch.nn.functional as F
-    import ms_adapter.pytorch.tensor as Tensor
-    import ms_adapter.pytorch.nn.init as init
+    import msadapter.pytorch as torch
+    import msadapter.pytorch.nn as nn
+    import msadapter.pytorch.nn.functional as F
+    import msadapter.pytorch.tensor as Tensor
+    import msadapter.pytorch.nn.init as init
     from mindspore import context
     import mindspore as ms
     context.set_context(mode=ms.PYNATIVE_MODE, device_target='GPU')
diff --git a/research/cv/done/SSD/layers/functions/detection.py b/research/cv/done/SSD/layers/functions/detection.py
index 2e342a8..8e8a5b0 100644
--- a/research/cv/done/SSD/layers/functions/detection.py
+++ b/research/cv/done/SSD/layers/functions/detection.py
@@ -6,8 +6,8 @@
 # # import torch
 # # import torch.nn as nn
 # # from torch.autograd import Function
-# import ms_adapter.pytorch as torch
-# import ms_adapter.pytorch.nn as nn
+# import msadapter.pytorch as torch
+# import msadapter.pytorch.nn as nn
 from settings import *
 from ..box_utils import decode, nms
 from data import voc as cfg
diff --git a/research/cv/done/SSD/settings.py b/research/cv/done/SSD/settings.py
index b40a034..3f2301a 100644
--- a/research/cv/done/SSD/settings.py
+++ b/research/cv/done/SSD/settings.py
@@ -11,11 +11,11 @@ opt = parser.parse_args()
 
     
 if opt.mode == 'adapter':
-    import ms_adapter.pytorch as torch
-    import ms_adapter.pytorch.nn as nn
-    import ms_adapter.pytorch.nn.functional as F
-    import ms_adapter.pytorch.tensor as Tensor
-    import ms_adapter.pytorch.nn.init as init
+    import msadapter.pytorch as torch
+    import msadapter.pytorch.nn as nn
+    import msadapter.pytorch.nn.functional as F
+    import msadapter.pytorch.tensor as Tensor
+    import msadapter.pytorch.nn.init as init
     from mindspore import context
     import mindspore as ms
     context.set_context(mode=ms.PYNATIVE_MODE, device_target='GPU')
diff --git a/research/cv/done/UNet/UNet_msadapter/unet/unet_parts.py b/research/cv/done/UNet/UNet_msadapter/unet/unet_parts.py
index dadefcb..981d07a 100644
--- a/research/cv/done/UNet/UNet_msadapter/unet/unet_parts.py
+++ b/research/cv/done/UNet/UNet_msadapter/unet/unet_parts.py
@@ -1,8 +1,8 @@
 """ Parts of the U-Net model """
 
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.nn.functional as F
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.nn.functional as F
 
 
 class DoubleConv(nn.Module):
diff --git a/research/cv/done/UNet3D/UNet3D_msadapter/pytorch3dunet/unet3d/buildingblocks.py b/research/cv/done/UNet3D/UNet3D_msadapter/pytorch3dunet/unet3d/buildingblocks.py
index 412cf9b..64f995e 100644
--- a/research/cv/done/UNet3D/UNet3D_msadapter/pytorch3dunet/unet3d/buildingblocks.py
+++ b/research/cv/done/UNet3D/UNet3D_msadapter/pytorch3dunet/unet3d/buildingblocks.py
@@ -1,8 +1,8 @@
 from functools import partial
 
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-from ms_adapter.pytorch.nn import functional as F
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+from msadapter.pytorch.nn import functional as F
 
 
 def conv3d(in_channels, out_channels, kernel_size, bias, padding):
diff --git a/research/cv/done/UNet3D/UNet3D_msadapter/pytorch3dunet/unet3d/model.py b/research/cv/done/UNet3D/UNet3D_msadapter/pytorch3dunet/unet3d/model.py
index 96103db..742efc1 100644
--- a/research/cv/done/UNet3D/UNet3D_msadapter/pytorch3dunet/unet3d/model.py
+++ b/research/cv/done/UNet3D/UNet3D_msadapter/pytorch3dunet/unet3d/model.py
@@ -1,4 +1,4 @@
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch.nn as nn
 
 from pytorch3dunet.unet3d.buildingblocks import DoubleConv, ExtResNetBlock, create_encoders, \
     create_decoders
diff --git a/research/cv/done/UNet3D/UNet3D_msadapter/pytorch3dunet/unet3d/utils.py b/research/cv/done/UNet3D/UNet3D_msadapter/pytorch3dunet/unet3d/utils.py
index 70857c9..d0c7a6f 100644
--- a/research/cv/done/UNet3D/UNet3D_msadapter/pytorch3dunet/unet3d/utils.py
+++ b/research/cv/done/UNet3D/UNet3D_msadapter/pytorch3dunet/unet3d/utils.py
@@ -6,7 +6,7 @@ import sys
 
 import h5py
 import numpy as np
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 
 #from torch import optim
 import mindspore as ms
diff --git a/research/cv/done/UNet3D/Untitled.ipynb b/research/cv/done/UNet3D/Untitled.ipynb
index ea4fc08..8318f77 100644
--- a/research/cv/done/UNet3D/Untitled.ipynb
+++ b/research/cv/done/UNet3D/Untitled.ipynb
@@ -262,8 +262,8 @@
     }
    ],
    "source": [
-    "import ms_adapter.pytorch as torch\n",
-    "import ms_adapter.pytorch.nn as nn\n",
+    "import msadapter.pytorch as torch\n",
+    "import msadapter.pytorch.nn as nn\n",
     "\n",
     "class Net(nn.Module):\n",
     "    def __init__(self):\n",
diff --git a/research/cv/done/alexnet.py b/research/cv/done/alexnet.py
index f52c515..cd9a1e2 100644
--- a/research/cv/done/alexnet.py
+++ b/research/cv/done/alexnet.py
@@ -1,7 +1,7 @@
 ######### msadapter
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.utils.data.tools as tools
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.utils.data.tools as tools
 
 import mindspore as ms
 from mindspore.ops import functional as F
diff --git a/research/cv/done/attention.py b/research/cv/done/attention.py
index e54b93b..cd50eeb 100644
--- a/research/cv/done/attention.py
+++ b/research/cv/done/attention.py
@@ -8,9 +8,9 @@
     https://arxiv.org/abs/1704.06904
 """
 
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.nn.functional as F
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.nn.functional as F
 
 #"""The Attention Module is built by pre-activation Residual Unit [11] with the
 #number of channels in each stage is the same as ResNet [10]."""
diff --git a/research/cv/done/deepfm.py b/research/cv/done/deepfm.py
index fbd4f49..1ec0c2f 100644
--- a/research/cv/done/deepfm.py
+++ b/research/cv/done/deepfm.py
@@ -22,10 +22,10 @@ opt = parser.parse_args()
 
     
 if opt.mode == 'adapter':
-    import ms_adapter.pytorch as torch
-    import ms_adapter.pytorch.nn as nn
-    import ms_adapter.pytorch.nn.functional as F
-    import ms_adapter.pytorch.tensor as Tensor
+    import msadapter.pytorch as torch
+    import msadapter.pytorch.nn as nn
+    import msadapter.pytorch.nn.functional as F
+    import msadapter.pytorch.tensor as Tensor
     from mindspore import context
     import mindspore as ms
     context.set_context(mode=ms.PYNATIVE_MODE, device_target='GPU')
diff --git a/research/cv/done/deeplabv3/resnet_models.py b/research/cv/done/deeplabv3/resnet_models.py
index 4bd1d39..cb4bcd0 100644
--- a/research/cv/done/deeplabv3/resnet_models.py
+++ b/research/cv/done/deeplabv3/resnet_models.py
@@ -1,4 +1,4 @@
-"""resnet in ms_adapter
+"""resnet in msadapter
 
 
 
diff --git a/research/cv/done/deeplabv3/setting.py b/research/cv/done/deeplabv3/setting.py
index 1805d6c..b4d1e08 100644
--- a/research/cv/done/deeplabv3/setting.py
+++ b/research/cv/done/deeplabv3/setting.py
@@ -7,9 +7,9 @@ global opt
 opt = parser.parse_args()
     
 if opt.mode == 'adapter':
-    import ms_adapter.pytorch as torch
-    import ms_adapter.pytorch.nn as nn
-    import ms_adapter.pytorch.nn.functional as F
+    import msadapter.pytorch as torch
+    import msadapter.pytorch.nn as nn
+    import msadapter.pytorch.nn.functional as F
     from mindspore import context
     import mindspore as ms
     context.set_context(mode=ms.PYNATIVE_MODE)
diff --git a/research/cv/done/densenet.py b/research/cv/done/densenet.py
index b715959..501dffd 100644
--- a/research/cv/done/densenet.py
+++ b/research/cv/done/densenet.py
@@ -18,9 +18,9 @@ global opt
 opt = parser.parse_args()
     
 if opt.mode == 'adapter':
-    import ms_adapter.pytorch as torch
-    import ms_adapter.pytorch.nn as nn
-    import ms_adapter.pytorch.nn.functional as F
+    import msadapter.pytorch as torch
+    import msadapter.pytorch.nn as nn
+    import msadapter.pytorch.nn.functional as F
     from mindspore import context
     import mindspore as ms
     context.set_context(mode=ms.PYNATIVE_MODE)
@@ -197,7 +197,7 @@ if __name__ == "__main__":
 #     for n,v in net.named_parameters():
 #         print(n, v.shape)
 
-#     from ms_adapter.pytorch import tensor
+#     from msadapter.pytorch import tensor
 #     from mindspore import context
 #     context.set_context(mode=context.PYNATIVE_MODE)
 #     import numpy as np
diff --git a/research/cv/done/depthnet/setting.py b/research/cv/done/depthnet/setting.py
index c3315a9..d88343d 100644
--- a/research/cv/done/depthnet/setting.py
+++ b/research/cv/done/depthnet/setting.py
@@ -9,10 +9,10 @@ global opt
 opt = parser.parse_args()
     
 if opt.mode == 'adapter':
-    import ms_adapter.pytorch as torch
-    import ms_adapter.pytorch.nn as nn
-    import ms_adapter.pytorch.nn.functional as F
-    from ms_adapter.pytorch.nn.init import xavier_normal_, constant_
+    import msadapter.pytorch as torch
+    import msadapter.pytorch.nn as nn
+    import msadapter.pytorch.nn.functional as F
+    from msadapter.pytorch.nn.init import xavier_normal_, constant_
     from mindspore import context
     import mindspore as ms
     context.set_context(mode=ms.PYNATIVE_MODE)
diff --git a/research/cv/done/dpn.py b/research/cv/done/dpn.py
index 1ccb3ee..975e949 100644
--- a/research/cv/done/dpn.py
+++ b/research/cv/done/dpn.py
@@ -8,9 +8,9 @@ global opt
 opt = parser.parse_args()
     
 if opt.mode == 'adapter':
-    import ms_adapter.pytorch as torch
-    import ms_adapter.pytorch.nn as nn
-    import ms_adapter.pytorch.nn.functional as F
+    import msadapter.pytorch as torch
+    import msadapter.pytorch.nn as nn
+    import msadapter.pytorch.nn.functional as F
     from mindspore import context
     import mindspore as ms
     context.set_context(mode=ms.PYNATIVE_MODE)
diff --git a/research/cv/done/inceptionv3.py b/research/cv/done/inceptionv3.py
index 5c2d466..05da739 100644
--- a/research/cv/done/inceptionv3.py
+++ b/research/cv/done/inceptionv3.py
@@ -7,9 +7,9 @@
     https://arxiv.org/abs/1512.00567v3
 """
 
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-from ms_adapter.pytorch import tensor
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+from msadapter.pytorch import tensor
 
 from mindspore import context
 import mindspore as ms
diff --git a/research/cv/done/lenet.py b/research/cv/done/lenet.py
index c3e6b51..cc42270 100644
--- a/research/cv/done/lenet.py
+++ b/research/cv/done/lenet.py
@@ -4,14 +4,14 @@ import argparse
 
 import torch as T
 
-import ms_adapter.pytorch.functional as F
-from ms_adapter.pytorch.nn.modules.pooling import MaxPool2d
-from ms_adapter.pytorch.nn.modules.linear import Linear
-from ms_adapter.pytorch.nn.modules.activation import ReLU
-from ms_adapter.pytorch.nn.modules.flatten import Flatten
-from ms_adapter.pytorch.nn.modules.conv import Conv2d
-from ms_adapter.pytorch.nn.modules.module import Module
-from ms_adapter.pytorch import Tensor
+import msadapter.pytorch.functional as F
+from msadapter.pytorch.nn.modules.pooling import MaxPool2d
+from msadapter.pytorch.nn.modules.linear import Linear
+from msadapter.pytorch.nn.modules.activation import ReLU
+from msadapter.pytorch.nn.modules.flatten import Flatten
+from msadapter.pytorch.nn.modules.conv import Conv2d
+from msadapter.pytorch.nn.modules.module import Module
+from msadapter.pytorch import Tensor
 
 import mindspore as ms
 from mindspore import context
diff --git a/research/cv/done/mlp.py b/research/cv/done/mlp.py
index 5c79a00..050fb21 100644
--- a/research/cv/done/mlp.py
+++ b/research/cv/done/mlp.py
@@ -1,9 +1,9 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
 
-from ms_adapter.pytorch.nn import Module, Linear, Flatten
-from ms_adapter.pytorch import tensor
-from ms_adapter.pytorch import optim
+from msadapter.pytorch.nn import Module, Linear, Flatten
+from msadapter.pytorch import tensor
+from msadapter.pytorch import optim
 import numpy as np
 
 from mindspore import context
diff --git a/research/cv/done/mobilenetv2.py b/research/cv/done/mobilenetv2.py
index 8c9e60c..3580b56 100644
--- a/research/cv/done/mobilenetv2.py
+++ b/research/cv/done/mobilenetv2.py
@@ -8,9 +8,9 @@
     https://arxiv.org/abs/1801.04381
 """
 
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.nn.functional as F
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.nn.functional as F
 
 
 class LinearBottleNeck(nn.Module):
@@ -111,7 +111,7 @@ if __name__ == '__main__':
     import mindspore as ms
     import numpy as np
 
-    from ms_adapter.pytorch import tensor
+    from msadapter.pytorch import tensor
 
     context.set_context(mode=ms.GRAPH_MODE)
     # context.set_context(mode=ms.PYNATIVE_MODE)
diff --git a/research/cv/done/resnet.py b/research/cv/done/resnet.py
index 88693d9..ed4c069 100644
--- a/research/cv/done/resnet.py
+++ b/research/cv/done/resnet.py
@@ -1,4 +1,4 @@
-"""resnet in ms_adapter
+"""resnet in msadapter
 
 
 
diff --git a/research/cv/done/resnext.py b/research/cv/done/resnext.py
index a090ae1..86e2d24 100644
--- a/research/cv/done/resnext.py
+++ b/research/cv/done/resnext.py
@@ -5,15 +5,15 @@ parser.add_argument('--save', action='store_true', default=False, help='')
 opt = parser.parse_args()
 
 if opt.mode == 'adapter':
-    import ms_adapter.pytorch as torch
-    import ms_adapter.pytorch.nn as nn
+    import msadapter.pytorch as torch
+    import msadapter.pytorch.nn as nn
 if opt.mode == 'torch':
     import torch
     import torch.nn as nn
 
 from mindspore.ops import functional as F
 from mindspore.common.api import _pynative_executor
-from ms_adapter.pytorch import Tensor
+from msadapter.pytorch import Tensor
 import numpy as np
 
 
diff --git a/research/cv/done/shufflenet.py b/research/cv/done/shufflenet.py
index 7aaa438..f28bb2c 100644
--- a/research/cv/done/shufflenet.py
+++ b/research/cv/done/shufflenet.py
@@ -3,9 +3,9 @@ from typing import Any, Callable, List, Optional
 import numpy as np
 import time
 
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-from ms_adapter.pytorch import Tensor
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+from msadapter.pytorch import Tensor
 
 from mindspore import context
 context.set_context(mode=context.PYNATIVE_MODE)
diff --git a/research/cv/done/squeezenet.py b/research/cv/done/squeezenet.py
index 815fad0..7a447b9 100644
--- a/research/cv/done/squeezenet.py
+++ b/research/cv/done/squeezenet.py
@@ -4,13 +4,13 @@ import time
 import numpy as np
 # import torch
 # import torch.nn as nn
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-from ms_adapter.pytorch import Tensor
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+from msadapter.pytorch import Tensor
 from mindspore import context
 context.set_context(mode=context.PYNATIVE_MODE)
 from mindspore.common.api import _pynative_executor
-import ms_adapter.pytorch.nn.init as init
+import msadapter.pytorch.nn.init as init
 
 
 
diff --git a/research/cv/done/vgg.py b/research/cv/done/vgg.py
index 16ebc0c..50ff39d 100644
--- a/research/cv/done/vgg.py
+++ b/research/cv/done/vgg.py
@@ -5,13 +5,13 @@
 """
 '''VGG11/13/16/19 in MSadapter-PyTorch.'''
 
-from ms_adapter.pytorch import nn
-import ms_adapter.pytorch as torch
+from msadapter.pytorch import nn
+import msadapter.pytorch as torch
 import numpy as np
 import mindspore as ms
 from mindspore import context
 from mindvision.engine.callback import LossMonitor
-from ms_adapter.pytorch import optim
+from msadapter.pytorch import optim
 import mindspore.nn as ms_nn
 
 context.set_context(mode=ms.PYNATIVE_MODE)
diff --git a/research/cv/done/vit.py b/research/cv/done/vit.py
index 109016b..c987dad 100644
--- a/research/cv/done/vit.py
+++ b/research/cv/done/vit.py
@@ -14,9 +14,9 @@ global opt
 opt = parser.parse_args()
     
 if opt.mode == 'adapter':
-    import ms_adapter.pytorch as torch
-    import ms_adapter.pytorch.nn as nn
-    import ms_adapter.pytorch.nn.functional as F
+    import msadapter.pytorch as torch
+    import msadapter.pytorch.nn as nn
+    import msadapter.pytorch.nn.functional as F
     from mindspore import context
     import mindspore as ms
     context.set_context(mode=ms.PYNATIVE_MODE)
diff --git a/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/faster_rcnn/faster_rcnn.py b/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/faster_rcnn/faster_rcnn.py
index 821bad3..c0dd44d 100644
--- a/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/faster_rcnn/faster_rcnn.py
+++ b/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/faster_rcnn/faster_rcnn.py
@@ -1,11 +1,11 @@
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.nn.functional as F
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.nn.functional as F
 from lib.model.utils.config import cfg
 from lib.model.rpn.rpn import _RPN
 
-from ms_adapter.torchvision.ops import RoIAlign as ROIAlign
-# from ms_adapter.torchvision.ops import RoIPool as ROIPool
+from msadapter.torchvision.ops import RoIAlign as ROIAlign
+# from msadapter.torchvision.ops import RoIPool as ROIPool
 
 from lib.model.rpn.proposal_target_layer_cascade import _ProposalTargetLayer
 from lib.model.utils.net_utils import _smooth_l1_loss
diff --git a/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/faster_rcnn/resnet.py b/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/faster_rcnn/resnet.py
index 8900cd5..6bd0121 100644
--- a/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/faster_rcnn/resnet.py
+++ b/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/faster_rcnn/resnet.py
@@ -5,8 +5,8 @@ from __future__ import print_function
 from lib.model.utils.config import cfg
 from lib.model.faster_rcnn.faster_rcnn import _fasterRCNN
 
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 import math
 import mindspore as ms
 
diff --git a/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/faster_rcnn/vgg16.py b/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/faster_rcnn/vgg16.py
index 168725f..56de20c 100644
--- a/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/faster_rcnn/vgg16.py
+++ b/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/faster_rcnn/vgg16.py
@@ -8,8 +8,8 @@ from __future__ import division
 from __future__ import print_function
 
 import mindspore as ms
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 from lib.model.faster_rcnn.faster_rcnn import _fasterRCNN
 from typing import cast
 
diff --git a/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/rpn/anchor_target_layer.py b/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/rpn/anchor_target_layer.py
index d8f5588..da79b4b 100644
--- a/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/rpn/anchor_target_layer.py
+++ b/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/rpn/anchor_target_layer.py
@@ -10,9 +10,9 @@ from __future__ import absolute_import
 # --------------------------------------------------------
 
 import mindspore as ms
-from ms_adapter.pytorch.tensor import cast_to_adapter_tensor
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+from msadapter.pytorch.tensor import cast_to_adapter_tensor
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 import numpy as np
 import numpy.random as npr
 
diff --git a/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/rpn/bbox_transform.py b/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/rpn/bbox_transform.py
index caba6f8..05bf799 100644
--- a/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/rpn/bbox_transform.py
+++ b/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/rpn/bbox_transform.py
@@ -8,7 +8,7 @@
 # Reorganized and modified by Jianwei Yang and Jiasen Lu
 # --------------------------------------------------------
 
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 
 def bbox_transform(ex_rois, gt_rois):
     ex_widths = ex_rois[:, 2] - ex_rois[:, 0] + 1.0
diff --git a/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/rpn/proposal_layer.py b/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/rpn/proposal_layer.py
index 42ef2af..70494e2 100644
--- a/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/rpn/proposal_layer.py
+++ b/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/rpn/proposal_layer.py
@@ -10,14 +10,14 @@ from __future__ import absolute_import
 # --------------------------------------------------------
 
 import mindspore as ms
-from ms_adapter.pytorch.tensor import cast_to_adapter_tensor
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+from msadapter.pytorch.tensor import cast_to_adapter_tensor
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 import numpy as np
 from lib.model.utils.config import cfg
 from .generate_anchors import generate_anchors
 from .bbox_transform import bbox_transform_inv, clip_boxes
-from ms_adapter.torchvision.ops import nms
+from msadapter.torchvision.ops import nms
 
 DEBUG = False
 
diff --git a/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/rpn/proposal_target_layer_cascade.py b/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/rpn/proposal_target_layer_cascade.py
index b187d5e..34f65ef 100644
--- a/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/rpn/proposal_target_layer_cascade.py
+++ b/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/rpn/proposal_target_layer_cascade.py
@@ -10,9 +10,9 @@ from __future__ import absolute_import
 # --------------------------------------------------------
 
 import mindspore as ms
-from ms_adapter.pytorch.tensor import cast_to_adapter_tensor
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+from msadapter.pytorch.tensor import cast_to_adapter_tensor
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 import numpy as np
 import numpy.random as npr
 from ..utils.config import cfg
diff --git a/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/rpn/rpn.py b/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/rpn/rpn.py
index 297b5ab..c995c4e 100644
--- a/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/rpn/rpn.py
+++ b/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/rpn/rpn.py
@@ -1,7 +1,7 @@
 from __future__ import absolute_import
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.nn.functional as F
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.nn.functional as F
 
 from lib.model.utils.config import cfg
 from .proposal_layer import _ProposalLayer
diff --git a/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/utils/net_utils.py b/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/utils/net_utils.py
index 834a3fd..6f16188 100644
--- a/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/utils/net_utils.py
+++ b/research/cv/faster_rcnn/faster_rcnn_adapter/lib/model/utils/net_utils.py
@@ -1,6 +1,6 @@
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.nn.functional as F
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.nn.functional as F
 import numpy as np
 from lib.model.utils.config import cfg
 import cv2
diff --git a/research/cv/faster_rcnn/faster_rcnn_adapter/lib/roi_data_layer/roibatchLoader.py b/research/cv/faster_rcnn/faster_rcnn_adapter/lib/roi_data_layer/roibatchLoader.py
index e2918de..17eceee 100644
--- a/research/cv/faster_rcnn/faster_rcnn_adapter/lib/roi_data_layer/roibatchLoader.py
+++ b/research/cv/faster_rcnn/faster_rcnn_adapter/lib/roi_data_layer/roibatchLoader.py
@@ -6,8 +6,8 @@ from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function
 
-import ms_adapter.pytorch.utils.data as data
-import ms_adapter.pytorch as torch
+import msadapter.pytorch.utils.data as data
+import msadapter.pytorch as torch
 
 from lib.model.utils.config import cfg
 from lib.roi_data_layer.minibatch import get_minibatch
diff --git a/research/cv/faster_rcnn/faster_rcnn_adapter/test_net.py b/research/cv/faster_rcnn/faster_rcnn_adapter/test_net.py
index 0dceb3c..8172115 100644
--- a/research/cv/faster_rcnn/faster_rcnn_adapter/test_net.py
+++ b/research/cv/faster_rcnn/faster_rcnn_adapter/test_net.py
@@ -17,13 +17,13 @@ import time
 
 import cv2
 
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 import pickle
 from lib.roi_data_layer.roidb import combined_roidb
 from lib.roi_data_layer.roibatchLoader import roibatchLoader
 from lib.model.utils.config import cfg, cfg_from_file, cfg_from_list, get_output_dir
 from lib.model.rpn.bbox_transform import clip_boxes
-from ms_adapter.torchvision.ops import nms
+from msadapter.torchvision.ops import nms
 from lib.model.rpn.bbox_transform import bbox_transform_inv
 from lib.model.utils.net_utils import vis_detections
 from lib.model.faster_rcnn.vgg16 import vgg16
diff --git a/research/cv/faster_rcnn/faster_rcnn_adapter/trainval_net.py b/research/cv/faster_rcnn/faster_rcnn_adapter/trainval_net.py
index e4bb3e1..ffb34ff 100644
--- a/research/cv/faster_rcnn/faster_rcnn_adapter/trainval_net.py
+++ b/research/cv/faster_rcnn/faster_rcnn_adapter/trainval_net.py
@@ -14,11 +14,11 @@ import pprint
 import pdb
 import time
 
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 import mindspore as ms
 
-from ms_adapter.pytorch.utils.data.sampler import Sampler
+from msadapter.pytorch.utils.data.sampler import Sampler
 
 from lib.roi_data_layer.roidb import combined_roidb
 from lib.roi_data_layer.roibatchLoader import roibatchLoader
diff --git a/research/efficientnet/examples/imagenet/efficientnet_pytorch/model.py b/research/efficientnet/examples/imagenet/efficientnet_pytorch/model.py
index 6460ac6..37a7ea6 100644
--- a/research/efficientnet/examples/imagenet/efficientnet_pytorch/model.py
+++ b/research/efficientnet/examples/imagenet/efficientnet_pytorch/model.py
@@ -6,9 +6,9 @@
 # Github repo: https://github.com/lukemelas/EfficientNet-PyTorch
 # With adjustments and added comments by workingcoder (github username).
 
-import ms_adapter.pytorch as torch
-from ms_adapter.pytorch import nn
-from ms_adapter.pytorch.nn import functional as F
+import msadapter.pytorch as torch
+from msadapter.pytorch import nn
+from msadapter.pytorch.nn import functional as F
 
 # import torch
 # from torch import nn
diff --git a/research/efficientnet/examples/imagenet/efficientnet_pytorch/utils.py b/research/efficientnet/examples/imagenet/efficientnet_pytorch/utils.py
index 0476b1f..1fc9d8c 100644
--- a/research/efficientnet/examples/imagenet/efficientnet_pytorch/utils.py
+++ b/research/efficientnet/examples/imagenet/efficientnet_pytorch/utils.py
@@ -11,9 +11,9 @@ import math
 import collections
 from functools import partial
 
-import ms_adapter.pytorch as torch
-from ms_adapter.pytorch import nn
-from ms_adapter.pytorch.nn import functional as F
+import msadapter.pytorch as torch
+from msadapter.pytorch import nn
+from msadapter.pytorch.nn import functional as F
 
 # import torch
 # from torch import nn
diff --git a/research/efficientnet/examples/imagenet/main.py b/research/efficientnet/examples/imagenet/main.py
index 025762d..373b727 100644
--- a/research/efficientnet/examples/imagenet/main.py
+++ b/research/efficientnet/examples/imagenet/main.py
@@ -11,9 +11,9 @@ import time
 import warnings
 import PIL
 
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.torchvision.transforms as transforms
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.torchvision.transforms as transforms
 import torchvision.datasets as datasets
 
 # import torch
diff --git a/research/fcn/examples/voc/evaluate.py b/research/fcn/examples/voc/evaluate.py
index d3aa8fb..2dae3c9 100644
--- a/research/fcn/examples/voc/evaluate.py
+++ b/research/fcn/examples/voc/evaluate.py
@@ -7,7 +7,7 @@ import os.path as osp
 import fcn
 import numpy as np
 import skimage.io
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 # import torch
 # from torch.autograd import Variable
 import torchfcn
diff --git a/research/fcn/examples/voc/torchfcn/datasets/voc.py b/research/fcn/examples/voc/torchfcn/datasets/voc.py
index a142231..b4af1d6 100644
--- a/research/fcn/examples/voc/torchfcn/datasets/voc.py
+++ b/research/fcn/examples/voc/torchfcn/datasets/voc.py
@@ -8,8 +8,8 @@ import PIL.Image
 import scipy.io
 # import torch
 # from torch.utils import data
-import ms_adapter.pytorch as torch
-from ms_adapter.pytorch.utils import data
+import msadapter.pytorch as torch
+from msadapter.pytorch.utils import data
 
 class VOCClassSegBase(data.Dataset):
 
diff --git a/research/fcn/examples/voc/torchfcn/models/fcn16s.py b/research/fcn/examples/voc/torchfcn/models/fcn16s.py
index 59f1150..21d4222 100644
--- a/research/fcn/examples/voc/torchfcn/models/fcn16s.py
+++ b/research/fcn/examples/voc/torchfcn/models/fcn16s.py
@@ -2,7 +2,7 @@ import os.path as osp
 
 # import fcn
 # import torch.nn as nn
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch.nn as nn
 
 from .fcn32s import get_upsampling_weight
 
diff --git a/research/fcn/examples/voc/torchfcn/models/fcn32s.py b/research/fcn/examples/voc/torchfcn/models/fcn32s.py
index 933aa3d..2e14185 100644
--- a/research/fcn/examples/voc/torchfcn/models/fcn32s.py
+++ b/research/fcn/examples/voc/torchfcn/models/fcn32s.py
@@ -4,8 +4,8 @@ import os.path as osp
 import numpy as np
 # import torch
 # import torch.nn as nn
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 
 # https://github.com/shelhamer/fcn.berkeleyvision.org/blob/master/surgery.py
 def get_upsampling_weight(in_channels, out_channels, kernel_size):
diff --git a/research/fcn/examples/voc/torchfcn/models/fcn8s.py b/research/fcn/examples/voc/torchfcn/models/fcn8s.py
index 8f35e35..d8d68d4 100644
--- a/research/fcn/examples/voc/torchfcn/models/fcn8s.py
+++ b/research/fcn/examples/voc/torchfcn/models/fcn8s.py
@@ -2,7 +2,7 @@ import os.path as osp
 
 # import fcn
 # import torch.nn as nn
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch.nn as nn
 
 from .fcn32s import get_upsampling_weight
 
diff --git a/research/fcn/examples/voc/torchfcn/trainer.py b/research/fcn/examples/voc/torchfcn/trainer.py
index df748e2..5d96ad2 100644
--- a/research/fcn/examples/voc/torchfcn/trainer.py
+++ b/research/fcn/examples/voc/torchfcn/trainer.py
@@ -9,8 +9,8 @@ import fcn
 import numpy as np
 import pytz
 import skimage.io
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn.functional as F
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn.functional as F
 # import torch
 # from torch.autograd import Variable
 # import torch.nn.functional as F
diff --git a/research/fcn/examples/voc/train_fcn16s.py b/research/fcn/examples/voc/train_fcn16s.py
index 822af8f..9b86dc8 100644
--- a/research/fcn/examples/voc/train_fcn16s.py
+++ b/research/fcn/examples/voc/train_fcn16s.py
@@ -6,7 +6,7 @@ import os
 import os.path as osp
 
 # import torch
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 import yaml
 
 import torchfcn
diff --git a/research/fcn/examples/voc/train_fcn32s.py b/research/fcn/examples/voc/train_fcn32s.py
index 5ba3325..410c580 100644
--- a/research/fcn/examples/voc/train_fcn32s.py
+++ b/research/fcn/examples/voc/train_fcn32s.py
@@ -8,7 +8,7 @@ import shlex
 import subprocess
 
 # import torch
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 import yaml
 
 import torchfcn
diff --git a/research/fcn/examples/voc/train_fcn8s.py b/research/fcn/examples/voc/train_fcn8s.py
index 8258dfc..9696a0f 100644
--- a/research/fcn/examples/voc/train_fcn8s.py
+++ b/research/fcn/examples/voc/train_fcn8s.py
@@ -6,7 +6,7 @@ import os
 import os.path as osp
 
 # import torch
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 import yaml
 
 import torchfcn
diff --git a/research/msadapter_cifar100/README.md b/research/msadapter_cifar100/README.md
index bb9d8b2..e0bb690 100644
--- a/research/msadapter_cifar100/README.md
+++ b/research/msadapter_cifar100/README.md
@@ -7,7 +7,7 @@ practice on cifar100 using MSAdapter
 This is my experiment eviroument
 - python3.7
 - mindspore2.0
-- ms_adapter 0.0.1
+- msadapter 0.0.1
 
 
 ## Usage
diff --git a/research/msadapter_cifar100/dataset.py b/research/msadapter_cifar100/dataset.py
index 0e03cf0..c9f641d 100644
--- a/research/msadapter_cifar100/dataset.py
+++ b/research/msadapter_cifar100/dataset.py
@@ -10,8 +10,8 @@ from skimage import io
 import matplotlib.pyplot as plt
 import numpy
 
-import ms_adapter.pytorch as torch
-from ms_adapter.pytorch.utils.data import Dataset
+import msadapter.pytorch as torch
+from msadapter.pytorch.utils.data import Dataset
 
 # import torch
 # from torch.utils.data import Dataset
diff --git a/research/msadapter_cifar100/models/attention.py b/research/msadapter_cifar100/models/attention.py
index 90eb189..487e670 100644
--- a/research/msadapter_cifar100/models/attention.py
+++ b/research/msadapter_cifar100/models/attention.py
@@ -8,9 +8,9 @@
     https://arxiv.org/abs/1704.06904
 """
 
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.nn.functional as F
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.nn.functional as F
 # import torch
 # import torch.nn as nn
 # import torch.nn.functional as F
diff --git a/research/msadapter_cifar100/models/densenet.py b/research/msadapter_cifar100/models/densenet.py
index d58b899..8e8c398 100644
--- a/research/msadapter_cifar100/models/densenet.py
+++ b/research/msadapter_cifar100/models/densenet.py
@@ -10,8 +10,8 @@
 
 # import torch
 # import torch.nn as nn
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 
 #"""Bottleneck layers. Although each layer only produces k
 #output feature-maps, it typically has many more inputs. It
diff --git a/research/msadapter_cifar100/models/googlenet.py b/research/msadapter_cifar100/models/googlenet.py
index 3793524..a5514b0 100644
--- a/research/msadapter_cifar100/models/googlenet.py
+++ b/research/msadapter_cifar100/models/googlenet.py
@@ -9,8 +9,8 @@
     https://arxiv.org/abs/1409.4842v1
 """
 
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 # import torch
 # import torch.nn as nn
 
diff --git a/research/msadapter_cifar100/models/inceptionv3.py b/research/msadapter_cifar100/models/inceptionv3.py
index e0424d7..923525b 100644
--- a/research/msadapter_cifar100/models/inceptionv3.py
+++ b/research/msadapter_cifar100/models/inceptionv3.py
@@ -9,8 +9,8 @@
 
 # import torch
 # import torch.nn as nn
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 
 class BasicConv2d(nn.Module):
 
diff --git a/research/msadapter_cifar100/models/inceptionv4.py b/research/msadapter_cifar100/models/inceptionv4.py
index 81fd133..7deb1fe 100644
--- a/research/msadapter_cifar100/models/inceptionv4.py
+++ b/research/msadapter_cifar100/models/inceptionv4.py
@@ -8,8 +8,8 @@
     https://arxiv.org/abs/1602.07261
 """
 
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 # import torch
 # import torch.nn as nn
 
diff --git a/research/msadapter_cifar100/models/mlp.py b/research/msadapter_cifar100/models/mlp.py
index ff23879..9ca3a7d 100644
--- a/research/msadapter_cifar100/models/mlp.py
+++ b/research/msadapter_cifar100/models/mlp.py
@@ -1,7 +1,7 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
 
-from ms_adapter.pytorch.nn import Module, Linear, Flatten
+from msadapter.pytorch.nn import Module, Linear, Flatten
 
 class MLP(Module):
     def __init__(self):
@@ -27,7 +27,7 @@ def mlp():
 # import mindspore as ms
 # import mindspore.nn as ms_nn
 # from mindvision.engine.callback import LossMonitor
-# from ms_adapter.pytorch import optim
+# from msadapter.pytorch import optim
 #
 # context.set_context(mode=ms.GRAPH_MODE)
 #
diff --git a/research/msadapter_cifar100/models/mobilenet.py b/research/msadapter_cifar100/models/mobilenet.py
index ea111e9..bb118c2 100644
--- a/research/msadapter_cifar100/models/mobilenet.py
+++ b/research/msadapter_cifar100/models/mobilenet.py
@@ -10,8 +10,8 @@
 
 # import torch
 # import torch.nn as nn
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 
 class DepthSeperabelConv2d(nn.Module):
 
diff --git a/research/msadapter_cifar100/models/mobilenetv2.py b/research/msadapter_cifar100/models/mobilenetv2.py
index 39fa607..f5ae88d 100644
--- a/research/msadapter_cifar100/models/mobilenetv2.py
+++ b/research/msadapter_cifar100/models/mobilenetv2.py
@@ -11,9 +11,9 @@
 # import torch
 # import torch.nn as nn
 # import torch.nn.functional as F
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.nn.functional as F
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.nn.functional as F
 
 class LinearBottleNeck(nn.Module):
 
diff --git a/research/msadapter_cifar100/models/nasnet.py b/research/msadapter_cifar100/models/nasnet.py
index 05454dc..9af8daf 100644
--- a/research/msadapter_cifar100/models/nasnet.py
+++ b/research/msadapter_cifar100/models/nasnet.py
@@ -10,8 +10,8 @@
 
 # import torch
 # import torch.nn as nn
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 
 
 class SeperableConv2d(nn.Module):
diff --git a/research/msadapter_cifar100/models/preactresnet.py b/research/msadapter_cifar100/models/preactresnet.py
index ff77a67..8affcc2 100644
--- a/research/msadapter_cifar100/models/preactresnet.py
+++ b/research/msadapter_cifar100/models/preactresnet.py
@@ -10,9 +10,9 @@
 # import torch.nn as nn
 # import torch.nn.functional as F
 
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.nn.functional as F
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.nn.functional as F
 
 class PreActBasic(nn.Module):
 
diff --git a/research/msadapter_cifar100/models/resnet.py b/research/msadapter_cifar100/models/resnet.py
index b6b6388..edb3954 100644
--- a/research/msadapter_cifar100/models/resnet.py
+++ b/research/msadapter_cifar100/models/resnet.py
@@ -10,8 +10,8 @@
 
 # import torch
 # import torch.nn as nn
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 
 class BasicBlock(nn.Module):
     """Basic Block for resnet 18 and resnet 34
diff --git a/research/msadapter_cifar100/models/resnext.py b/research/msadapter_cifar100/models/resnext.py
index f98cdb0..e1d9884 100644
--- a/research/msadapter_cifar100/models/resnext.py
+++ b/research/msadapter_cifar100/models/resnext.py
@@ -12,9 +12,9 @@ import math
 # import torch
 # import torch.nn as nn
 # import torch.nn.functional as F
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.nn.functional as F
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.nn.functional as F
 
 #only implements ResNext bottleneck c
 
diff --git a/research/msadapter_cifar100/models/rir.py b/research/msadapter_cifar100/models/rir.py
index 557e94b..0275a2e 100644
--- a/research/msadapter_cifar100/models/rir.py
+++ b/research/msadapter_cifar100/models/rir.py
@@ -11,8 +11,8 @@
 # import torch
 # import torch.nn as nn
 
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 
 #geralized
 class ResnetInit(nn.Module):
diff --git a/research/msadapter_cifar100/models/senet.py b/research/msadapter_cifar100/models/senet.py
index 8e72360..60184e6 100644
--- a/research/msadapter_cifar100/models/senet.py
+++ b/research/msadapter_cifar100/models/senet.py
@@ -12,9 +12,9 @@
 # import torch.nn as nn
 # import torch.nn.functional as F
 
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.nn.functional as F
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.nn.functional as F
 
 class BasicResidualSEBlock(nn.Module):
 
diff --git a/research/msadapter_cifar100/models/shufflenet.py b/research/msadapter_cifar100/models/shufflenet.py
index c4e9b19..8936365 100644
--- a/research/msadapter_cifar100/models/shufflenet.py
+++ b/research/msadapter_cifar100/models/shufflenet.py
@@ -12,8 +12,8 @@ from functools import partial
 
 # import torch
 # import torch.nn as nn
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 
 
 class BasicConv2d(nn.Module):
diff --git a/research/msadapter_cifar100/models/shufflenetv2.py b/research/msadapter_cifar100/models/shufflenetv2.py
index ffc99c7..fbd9454 100644
--- a/research/msadapter_cifar100/models/shufflenetv2.py
+++ b/research/msadapter_cifar100/models/shufflenetv2.py
@@ -12,9 +12,9 @@
 # import torch.nn as nn
 # import torch.nn.functional as F
 
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.nn.functional as F
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.nn.functional as F
 
 
 def channel_split(x, split):
diff --git a/research/msadapter_cifar100/models/squeezenet.py b/research/msadapter_cifar100/models/squeezenet.py
index b800d10..33678a1 100644
--- a/research/msadapter_cifar100/models/squeezenet.py
+++ b/research/msadapter_cifar100/models/squeezenet.py
@@ -10,8 +10,8 @@
 
 # import torch
 # import torch.nn as nn
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 
 class Fire(nn.Module):
 
diff --git a/research/msadapter_cifar100/models/vgg.py b/research/msadapter_cifar100/models/vgg.py
index 33690bd..6538813 100644
--- a/research/msadapter_cifar100/models/vgg.py
+++ b/research/msadapter_cifar100/models/vgg.py
@@ -8,8 +8,8 @@
 """
 '''VGG11/13/16/19 in Pytorch.'''
 
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 
 # import torch
 # import torch.nn as nn
@@ -84,7 +84,7 @@ def vgg19_bn():
 #
 #     from mindvision.dataset import Cifar10
 #     import mindspore.nn as ms_nn
-#     from ms_adapter.pytorch import optim
+#     from msadapter.pytorch import optim
 #     import mindspore as ms
 #     from mindvision.engine.callback import LossMonitor
 #
diff --git a/research/msadapter_cifar100/models/wideresidual.py b/research/msadapter_cifar100/models/wideresidual.py
index 535f98f..b927191 100644
--- a/research/msadapter_cifar100/models/wideresidual.py
+++ b/research/msadapter_cifar100/models/wideresidual.py
@@ -1,7 +1,7 @@
 # import torch
 # import torch.nn as nn
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 
 class WideBasic(nn.Module):
 
diff --git a/research/msadapter_cifar100/models/xception.py b/research/msadapter_cifar100/models/xception.py
index b5d76c1..8335600 100644
--- a/research/msadapter_cifar100/models/xception.py
+++ b/research/msadapter_cifar100/models/xception.py
@@ -10,8 +10,8 @@
 # import torch
 # import torch.nn as nn
 
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 
 
 class SeperableConv2d(nn.Module):
diff --git a/research/msadapter_cifar100/test_inference.py b/research/msadapter_cifar100/test_inference.py
index 929dc57..d6b68eb 100644
--- a/research/msadapter_cifar100/test_inference.py
+++ b/research/msadapter_cifar100/test_inference.py
@@ -3,7 +3,7 @@
 
 import numpy as np
 
-import ms_adapter.pytorch as m_torch
+import msadapter.pytorch as m_torch
 
 import mindspore as ms
 from mindspore import Tensor, save_checkpoint
diff --git a/research/msadapter_cifar100/train.py b/research/msadapter_cifar100/train.py
index 9325143..202dd37 100644
--- a/research/msadapter_cifar100/train.py
+++ b/research/msadapter_cifar100/train.py
@@ -16,12 +16,12 @@ import numpy as np
 from mindspore import ops
 import mindspore as ms
 
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.optim as optim
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.optim as optim
 
 
-from ms_adapter.pytorch.utils.data import DataLoader
+from msadapter.pytorch.utils.data import DataLoader
 
 # import torch
 # import torch.nn as nn
diff --git a/research/msadapter_cifar100/utils.py b/research/msadapter_cifar100/utils.py
index 501fe48..39f68b3 100644
--- a/research/msadapter_cifar100/utils.py
+++ b/research/msadapter_cifar100/utils.py
@@ -14,8 +14,8 @@ import numpy
 import torchvision
 import torchvision.transforms as transforms
 from torch.utils.data import DataLoader
-# import ms_adapter.pytorch as torch
-# from ms_adapter.pytorch.utils.data import DataLoader
+# import msadapter.pytorch as torch
+# from msadapter.pytorch.utils.data import DataLoader
 
 def get_network(args):
     """ return given network
diff --git a/research/nlp/transformer/README.md b/research/nlp/transformer/README.md
index 36de803..8775722 100644
--- a/research/nlp/transformer/README.md
+++ b/research/nlp/transformer/README.md
@@ -1,7 +1,7 @@
 
 # Transformer
 
-This is a adoption of ms_adapter of pytorch implementation of the
+This is a adoption of msadapter of pytorch implementation of the
 [Transformer](https://arxiv.org/abs/1706.03762) model like
 [tensorflow/tensor2tensor](https://github.com/tensorflow/tensor2tensor).
 
@@ -33,7 +33,7 @@ $ python train.py --problem wmt32k --output_dir ./output --data_dir ./wmt32k_dat
 for torch 
 or
 $ python ms_train.py --problem wmt32k --output_dir ./output --data_dir ./wmt32k_data
-for ms_adapter
+for msadapter
 ```
 
 If you want to try `fast_transformer`, give a `model` argument after installing
diff --git a/research/nlp/transformer/ms_model/ms_transformer.py b/research/nlp/transformer/ms_model/ms_transformer.py
index c407f12..380910e 100644
--- a/research/nlp/transformer/ms_model/ms_transformer.py
+++ b/research/nlp/transformer/ms_model/ms_transformer.py
@@ -1,9 +1,9 @@
 import math
 
 import mindspore as ms
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.nn.functional as F
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.nn.functional as F
 from ms_utils import utils
 
 # pylint: disable=arguments-differ
diff --git a/research/nlp/transformer/ms_train.py b/research/nlp/transformer/ms_train.py
index def8b47..137856e 100644
--- a/research/nlp/transformer/ms_train.py
+++ b/research/nlp/transformer/ms_train.py
@@ -1,9 +1,9 @@
 import argparse
 import os
 import time
-import ms_adapter.pytorch.optim as optim
+import msadapter.pytorch.optim as optim
 import mindspore as ms
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch.nn as nn
 from mindspore.nn import LossBase
 from mindspore import Profiler
 import mindspore as ms
diff --git a/research/nlp/transformer/ms_utils/convert_tensor.py b/research/nlp/transformer/ms_utils/convert_tensor.py
index 3aefee9..dbc19cd 100644
--- a/research/nlp/transformer/ms_utils/convert_tensor.py
+++ b/research/nlp/transformer/ms_utils/convert_tensor.py
@@ -5,7 +5,7 @@ from collections.abc import Mapping, Sequence
 import mindspore as ms
 import torch
 from mindspore.common import dtype as mstype
-from ms_adapter.pytorch.tensor import Tensor
+from msadapter.pytorch.tensor import Tensor
 
 _dtypeConvertor = {
     torch.float16: mstype.float16,
diff --git a/research/nlp/transformer/ms_utils/optimizer.py b/research/nlp/transformer/ms_utils/optimizer.py
index f852fef..8e368ed 100644
--- a/research/nlp/transformer/ms_utils/optimizer.py
+++ b/research/nlp/transformer/ms_utils/optimizer.py
@@ -1,4 +1,4 @@
-import ms_adapter.pytorch.optim as optim
+import msadapter.pytorch.optim as optim
 
 
 class LRScheduler:
diff --git a/research/nlp/transformer/ms_utils/utils.py b/research/nlp/transformer/ms_utils/utils.py
index 64fef4d..5aa8ca1 100644
--- a/research/nlp/transformer/ms_utils/utils.py
+++ b/research/nlp/transformer/ms_utils/utils.py
@@ -4,9 +4,9 @@ import math
 # import torch
 # import torch.nn.functional as F
 
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.nn.functional as F
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.nn.functional as F
 
 
 def get_loss(pred, ans, vocab_size, label_smoothing, pad):
diff --git a/research/nlp/transformer/torch_utils/convert_tensor.py b/research/nlp/transformer/torch_utils/convert_tensor.py
index 3aefee9..dbc19cd 100644
--- a/research/nlp/transformer/torch_utils/convert_tensor.py
+++ b/research/nlp/transformer/torch_utils/convert_tensor.py
@@ -5,7 +5,7 @@ from collections.abc import Mapping, Sequence
 import mindspore as ms
 import torch
 from mindspore.common import dtype as mstype
-from ms_adapter.pytorch.tensor import Tensor
+from msadapter.pytorch.tensor import Tensor
 
 _dtypeConvertor = {
     torch.float16: mstype.float16,
diff --git a/research/openpose/src/body.py b/research/openpose/src/body.py
index a11828a..a162e6d 100644
--- a/research/openpose/src/body.py
+++ b/research/openpose/src/body.py
@@ -7,7 +7,7 @@ import matplotlib.pyplot as plt
 import matplotlib
 # import torch
 import mindspore as ms
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 from torchvision import transforms
 
 from src import util
diff --git a/research/openpose/src/hand.py b/research/openpose/src/hand.py
index 141340a..9b39b14 100644
--- a/research/openpose/src/hand.py
+++ b/research/openpose/src/hand.py
@@ -8,7 +8,7 @@ import matplotlib.pyplot as plt
 import matplotlib
 # import torch
 import mindspore as ms
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 from skimage.measure import label
 
 from src.model import handpose_model
diff --git a/research/openpose/src/model.py b/research/openpose/src/model.py
index cad56e6..0c8fc27 100644
--- a/research/openpose/src/model.py
+++ b/research/openpose/src/model.py
@@ -2,8 +2,8 @@ from collections import OrderedDict
 
 # import torch
 # import torch.nn as nn
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 
 def make_layers(block, no_relu_layers):
     layers = []
diff --git a/research/pvnet/lib/cmp_msa_torch.py b/research/pvnet/lib/cmp_msa_torch.py
index 3edbc70..1168761 100644
--- a/research/pvnet/lib/cmp_msa_torch.py
+++ b/research/pvnet/lib/cmp_msa_torch.py
@@ -1,6 +1,6 @@
 import numpy as np
 
-import ms_adapter.pytorch as m_torch
+import msadapter.pytorch as m_torch
 
 import mindspore as ms
 from mindspore import Tensor, save_checkpoint
diff --git a/research/pvnet/lib/networks/model_repository.py b/research/pvnet/lib/networks/model_repository.py
index 08fb9f2..e532924 100644
--- a/research/pvnet/lib/networks/model_repository.py
+++ b/research/pvnet/lib/networks/model_repository.py
@@ -1,9 +1,9 @@
 # from torch import nn
 # import torch
 # from torch.nn import functional as F
-from ms_adapter.pytorch import nn
-import ms_adapter.pytorch as torch
-from ms_adapter.pytorch.nn import functional as F
+from msadapter.pytorch import nn
+import msadapter.pytorch as torch
+from msadapter.pytorch.nn import functional as F
 # from lib.networks.resnet import resnet18, resnet50, resnet34
 from .resnet import resnet18, resnet50, resnet34
 
diff --git a/research/pvnet/lib/networks/resnet.py b/research/pvnet/lib/networks/resnet.py
index 6151e40..a709f58 100644
--- a/research/pvnet/lib/networks/resnet.py
+++ b/research/pvnet/lib/networks/resnet.py
@@ -1,7 +1,7 @@
 # from lib.utils.config import cfg as proj_cfg
 from .config import cfg as proj_cfg
 # import torch.nn as nn
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch.nn as nn
 import math
 # import torch.utils.model_zoo as model_zoo
 import numpy as np
diff --git a/research/pvnet/lib/networks/vgg.py b/research/pvnet/lib/networks/vgg.py
index f250f8a..91bc3ba 100644
--- a/research/pvnet/lib/networks/vgg.py
+++ b/research/pvnet/lib/networks/vgg.py
@@ -1,6 +1,6 @@
 from lib.utils.config import cfg as proj_cfg
 # import torch.nn as nn
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch.nn as nn
 # import torch.utils.model_zoo as model_zoo
 import math
 
diff --git a/research/pytorch-segmentation_adapter/base/base_dataloader.py b/research/pytorch-segmentation_adapter/base/base_dataloader.py
index f0c8120..ec92164 100644
--- a/research/pytorch-segmentation_adapter/base/base_dataloader.py
+++ b/research/pytorch-segmentation_adapter/base/base_dataloader.py
@@ -1,7 +1,7 @@
 import numpy as np
 from copy import deepcopy
-import ms_adapter.pytorch as torch
-from ms_adapter.pytorch.utils.data import DataLoader
+import msadapter.pytorch as torch
+from msadapter.pytorch.utils.data import DataLoader
 
 # from torch.utils.data.sampler import SubsetRandomSampler
 
diff --git a/research/pytorch-segmentation_adapter/base/base_dataset.py b/research/pytorch-segmentation_adapter/base/base_dataset.py
index 0ca537a..3bab41a 100644
--- a/research/pytorch-segmentation_adapter/base/base_dataset.py
+++ b/research/pytorch-segmentation_adapter/base/base_dataset.py
@@ -1,10 +1,10 @@
 import random
 import numpy as np
 import cv2
-import ms_adapter.pytorch as torch
-from ms_adapter.pytorch.utils.data import Dataset
+import msadapter.pytorch as torch
+from msadapter.pytorch.utils.data import Dataset
 from PIL import Image
-from ms_adapter.torchvision import transforms
+from msadapter.torchvision import transforms
 from scipy import ndimage
 
 class BaseDataSet(Dataset):
diff --git a/research/pytorch-segmentation_adapter/base/base_model.py b/research/pytorch-segmentation_adapter/base/base_model.py
index a2f7811..6ba77c0 100644
--- a/research/pytorch-segmentation_adapter/base/base_model.py
+++ b/research/pytorch-segmentation_adapter/base/base_model.py
@@ -1,5 +1,5 @@
 import logging
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch.nn as nn
 import numpy as np
 from utils.torchsummary import summary
 
diff --git a/research/pytorch-segmentation_adapter/base/base_trainer.py b/research/pytorch-segmentation_adapter/base/base_trainer.py
index 408fafb..2ce11eb 100644
--- a/research/pytorch-segmentation_adapter/base/base_trainer.py
+++ b/research/pytorch-segmentation_adapter/base/base_trainer.py
@@ -2,7 +2,7 @@ import os
 import logging
 import json
 import math
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 import datetime
 # from torch.utils import tensorboard
 from utils import helpers
diff --git a/research/pytorch-segmentation_adapter/dataloaders/ade20k.py b/research/pytorch-segmentation_adapter/dataloaders/ade20k.py
index 91bfa98..9ff943b 100644
--- a/research/pytorch-segmentation_adapter/dataloaders/ade20k.py
+++ b/research/pytorch-segmentation_adapter/dataloaders/ade20k.py
@@ -2,12 +2,12 @@ from base import BaseDataSet, BaseDataLoader
 from utils import palette
 import numpy as np
 import os
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 import cv2
 from PIL import Image
 from glob import glob
-from ms_adapter.pytorch.utils.data import Dataset
-from ms_adapter.torchvision import transforms
+from msadapter.pytorch.utils.data import Dataset
+from msadapter.torchvision import transforms
 
 
 class ADE20KDataset(BaseDataSet):
diff --git a/research/pytorch-segmentation_adapter/dataloaders/cityscapes.py b/research/pytorch-segmentation_adapter/dataloaders/cityscapes.py
index 9cd3978..8b754d4 100644
--- a/research/pytorch-segmentation_adapter/dataloaders/cityscapes.py
+++ b/research/pytorch-segmentation_adapter/dataloaders/cityscapes.py
@@ -4,10 +4,10 @@ from glob import glob
 import numpy as np
 import os
 import cv2
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 from PIL import Image
-from ms_adapter.pytorch.utils.data import Dataset
-from ms_adapter.torchvision import transforms
+from msadapter.pytorch.utils.data import Dataset
+from msadapter.torchvision import transforms
 
 ignore_label = 255
 ID_TO_TRAINID = {-1: ignore_label, 0: ignore_label, 1: ignore_label, 2: ignore_label,
diff --git a/research/pytorch-segmentation_adapter/dataloaders/coco.py b/research/pytorch-segmentation_adapter/dataloaders/coco.py
index f50d59a..8702b76 100644
--- a/research/pytorch-segmentation_adapter/dataloaders/coco.py
+++ b/research/pytorch-segmentation_adapter/dataloaders/coco.py
@@ -7,7 +7,7 @@ from glob import glob
 import numpy as np
 import scipy.io as sio
 from utils import palette
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 import os
 import cv2
 
diff --git a/research/pytorch-segmentation_adapter/dataloaders/voc.py b/research/pytorch-segmentation_adapter/dataloaders/voc.py
index d5ce507..0b1282d 100644
--- a/research/pytorch-segmentation_adapter/dataloaders/voc.py
+++ b/research/pytorch-segmentation_adapter/dataloaders/voc.py
@@ -6,11 +6,11 @@ from utils import palette
 import numpy as np
 import os
 import scipy
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 from PIL import Image
 import cv2
-from ms_adapter.pytorch.utils.data import Dataset
-from ms_adapter.torchvision import transforms
+from msadapter.pytorch.utils.data import Dataset
+from msadapter.torchvision import transforms
 
 class VOCDataset(BaseDataSet):
     """
diff --git a/research/pytorch-segmentation_adapter/inference.py b/research/pytorch-segmentation_adapter/inference.py
index 0e84db9..ac4ef74 100644
--- a/research/pytorch-segmentation_adapter/inference.py
+++ b/research/pytorch-segmentation_adapter/inference.py
@@ -3,10 +3,10 @@ import scipy
 import os
 import numpy as np
 import json
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.nn.functional as F
-from ms_adapter.torchvision import transforms
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.nn.functional as F
+from msadapter.torchvision import transforms
 from scipy import ndimage
 from tqdm import tqdm
 from math import ceil
diff --git a/research/pytorch-segmentation_adapter/models/deeplabv3_plus.py b/research/pytorch-segmentation_adapter/models/deeplabv3_plus.py
index 4da9849..15664b4 100644
--- a/research/pytorch-segmentation_adapter/models/deeplabv3_plus.py
+++ b/research/pytorch-segmentation_adapter/models/deeplabv3_plus.py
@@ -1,13 +1,13 @@
 from base import BaseModel
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 import math
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.nn.functional as F
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.nn.functional as F
 # from torchvision import models
-# import ms_adapter.pytorch.utils.model_zoo as model_zoo
+# import msadapter.pytorch.utils.model_zoo as model_zoo
 from utils.helpers import initialize_weights
 from itertools import chain
-from ms_adapter.pytorch import Tensor
+from msadapter.pytorch import Tensor
 from typing import Type, Any, Callable, Union, List, Optional
 
 '''
diff --git a/research/pytorch-segmentation_adapter/requirements.txt b/research/pytorch-segmentation_adapter/requirements.txt
index f8bbe9f..775addf 100644
--- a/research/pytorch-segmentation_adapter/requirements.txt
+++ b/research/pytorch-segmentation_adapter/requirements.txt
@@ -1,4 +1,4 @@
-ms-adapter==0.0.1a0
+msadapter==0.0.1a0
 mindspore-dev==2.0.0.dev20230109
 opencv-python==4.7.0.68
 tqdm==4.64.1
diff --git a/research/pytorch-segmentation_adapter/train.py b/research/pytorch-segmentation_adapter/train.py
index 595f0ac..5b78993 100644
--- a/research/pytorch-segmentation_adapter/train.py
+++ b/research/pytorch-segmentation_adapter/train.py
@@ -1,7 +1,7 @@
 import os
 import json
 import argparse
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 import dataloaders
 import models
 import inspect
diff --git a/research/pytorch-segmentation_adapter/trainer.py b/research/pytorch-segmentation_adapter/trainer.py
index 3932507..7464e2e 100644
--- a/research/pytorch-segmentation_adapter/trainer.py
+++ b/research/pytorch-segmentation_adapter/trainer.py
@@ -1,8 +1,8 @@
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 import time
 import numpy as np
-# from ms_adapter.torchvision.utils import make_grid
-from ms_adapter.torchvision import transforms
+# from msadapter.torchvision.utils import make_grid
+from msadapter.torchvision import transforms
 from utils import transforms as local_transforms
 from base import BaseTrainer, DataPrefetcher
 from utils.helpers import colorize_mask
diff --git a/research/pytorch-segmentation_adapter/utils/helpers.py b/research/pytorch-segmentation_adapter/utils/helpers.py
index c87323f..03e8f58 100644
--- a/research/pytorch-segmentation_adapter/utils/helpers.py
+++ b/research/pytorch-segmentation_adapter/utils/helpers.py
@@ -1,6 +1,6 @@
 import os
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
 import numpy as np
 import math
 import PIL
diff --git a/research/pytorch-segmentation_adapter/utils/losses.py b/research/pytorch-segmentation_adapter/utils/losses.py
index d4ff356..9aaf878 100644
--- a/research/pytorch-segmentation_adapter/utils/losses.py
+++ b/research/pytorch-segmentation_adapter/utils/losses.py
@@ -1,7 +1,7 @@
 import numpy as np
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn.functional as F
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn.functional as F
+import msadapter.pytorch.nn as nn
 # from sklearn.utils import class_weight
 from utils.lovasz_losses import lovasz_softmax
 
diff --git a/research/pytorch-segmentation_adapter/utils/lovasz_losses.py b/research/pytorch-segmentation_adapter/utils/lovasz_losses.py
index 76ad72e..bc4d22a 100644
--- a/research/pytorch-segmentation_adapter/utils/lovasz_losses.py
+++ b/research/pytorch-segmentation_adapter/utils/lovasz_losses.py
@@ -6,9 +6,9 @@ https://github.com/bermanmaxim/LovaszSoftmax/blob/master/pytorch/lovasz_losses.p
 
 from __future__ import print_function, division
 
-import ms_adapter.pytorch as torch
-from ms_adapter.pytorch.autograd import Variable
-import ms_adapter.pytorch.nn.functional as F
+import msadapter.pytorch as torch
+from msadapter.pytorch.autograd import Variable
+import msadapter.pytorch.nn.functional as F
 import numpy as np
 try:
     from itertools import  ifilterfalse
diff --git a/research/pytorch-segmentation_adapter/utils/lr_scheduler.py b/research/pytorch-segmentation_adapter/utils/lr_scheduler.py
index 0b299b6..ef553ab 100644
--- a/research/pytorch-segmentation_adapter/utils/lr_scheduler.py
+++ b/research/pytorch-segmentation_adapter/utils/lr_scheduler.py
@@ -1,5 +1,5 @@
 # import math
-# from  ms_adapter.pytorch.optim import _LRScheduler
+# from  msadapter.pytorch.optim import _LRScheduler
 
 # class _LRScheduler(object):
 
@@ -208,11 +208,11 @@
 
 
 # # if __name__ == "__main__":
-# #     import ms_adapter.pytorch as ms_adapter.torchvision
-# #     import ms_adapter.pytorch as torch
+# #     import msadapter.pytorch as msadapter.torchvision
+# #     import msadapter.pytorch as torch
 # #     import matplotlib.pylab as plt
 
-# #     resnet = ms_adapter.torchvision.models.resnet34()
+# #     resnet = msadapter.torchvision.models.resnet34()
 # #     params = {
 # #         "lr": 0.01,
 # #         "weight_decay": 0.001,
diff --git a/research/pytorch-segmentation_adapter/utils/metrics.py b/research/pytorch-segmentation_adapter/utils/metrics.py
index 5a48935..72f6a40 100644
--- a/research/pytorch-segmentation_adapter/utils/metrics.py
+++ b/research/pytorch-segmentation_adapter/utils/metrics.py
@@ -1,5 +1,5 @@
 import numpy as np
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 
 class AverageMeter(object):
     """Computes and stores the average and current value"""
diff --git a/research/pytorch-segmentation_adapter/utils/sync_batchnorm/batchnorm.py b/research/pytorch-segmentation_adapter/utils/sync_batchnorm/batchnorm.py
index 0985dab..7e2d99e 100644
--- a/research/pytorch-segmentation_adapter/utils/sync_batchnorm/batchnorm.py
+++ b/research/pytorch-segmentation_adapter/utils/sync_batchnorm/batchnorm.py
@@ -11,13 +11,13 @@
 import collections
 import contextlib
 
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn.functional as F
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn.functional as F
 
-from ms_adapter.pytorch.nn.modules.batchnorm import _BatchNorm
+from msadapter.pytorch.nn.modules.batchnorm import _BatchNorm
 
 try:
-    from ms_adapter.pytorch.nn.parallel._functions import ReduceAddCoalesced, Broadcast
+    from msadapter.pytorch.nn.parallel._functions import ReduceAddCoalesced, Broadcast
 except ImportError:
     ReduceAddCoalesced = Broadcast = None
 
@@ -337,7 +337,7 @@ class SynchronizedBatchNorm3d(_SynchronizedBatchNorm):
 
 @contextlib.contextmanager
 def patch_sync_batchnorm():
-    import ms_adapter.pytorch.nn as nn
+    import msadapter.pytorch.nn as nn
 
     backup = nn.BatchNorm1d, nn.BatchNorm2d, nn.BatchNorm3d
 
@@ -359,10 +359,10 @@ def convert_model(module):
         module: the input module needs to be convert to SyncBN model
 
     Examples:
-        >>> import ms_adapter.pytorch.nn as nn
-        >>> import ms_adapter.pytorch as ms_adapter.torchvision
+        >>> import msadapter.pytorch.nn as nn
+        >>> import msadapter.pytorch as msadapter.torchvision
         >>> # m is a standard pytorch model
-        >>> m = ms_adapter.torchvision.models.resnet18(True)
+        >>> m = msadapter.torchvision.models.resnet18(True)
         >>> m = nn.DataParallel(m)
         >>> # after convert, m is using SyncBN
         >>> m = convert_model(m)
diff --git a/research/pytorch-segmentation_adapter/utils/sync_batchnorm/batchnorm_reimpl.py b/research/pytorch-segmentation_adapter/utils/sync_batchnorm/batchnorm_reimpl.py
index e26490e..c85b9ed 100644
--- a/research/pytorch-segmentation_adapter/utils/sync_batchnorm/batchnorm_reimpl.py
+++ b/research/pytorch-segmentation_adapter/utils/sync_batchnorm/batchnorm_reimpl.py
@@ -8,9 +8,9 @@
 # https://github.com/vacancy/Synchronized-BatchNorm-PyTorch
 # Distributed under MIT License.
 
-import ms_adapter.pytorch as torch
-import ms_adapter.pytorch.nn as nn
-import ms_adapter.pytorch.nn.init as init
+import msadapter.pytorch as torch
+import msadapter.pytorch.nn as nn
+import msadapter.pytorch.nn.init as init
 
 __all__ = ['BatchNorm2dReimpl']
 
diff --git a/research/pytorch-segmentation_adapter/utils/sync_batchnorm/replicate.py b/research/pytorch-segmentation_adapter/utils/sync_batchnorm/replicate.py
index b18b55c..c820a2f 100644
--- a/research/pytorch-segmentation_adapter/utils/sync_batchnorm/replicate.py
+++ b/research/pytorch-segmentation_adapter/utils/sync_batchnorm/replicate.py
@@ -10,7 +10,7 @@
 
 import functools
 
-from ms_adapter.pytorch.nn.parallel.data_parallel import DataParallel
+from msadapter.pytorch.nn.parallel.data_parallel import DataParallel
 
 # __all__ = [
 #     'CallbackContext',
diff --git a/research/pytorch-segmentation_adapter/utils/sync_batchnorm/unittest.py b/research/pytorch-segmentation_adapter/utils/sync_batchnorm/unittest.py
index 29e0bd2..337089a 100644
--- a/research/pytorch-segmentation_adapter/utils/sync_batchnorm/unittest.py
+++ b/research/pytorch-segmentation_adapter/utils/sync_batchnorm/unittest.py
@@ -9,7 +9,7 @@
 # Distributed under MIT License.
 
 import unittest
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 
 
 class TorchTestCase(unittest.TestCase):
diff --git a/research/pytorch-segmentation_adapter/utils/torchsummary.py b/research/pytorch-segmentation_adapter/utils/torchsummary.py
index 9b33b1f..15f34a7 100644
--- a/research/pytorch-segmentation_adapter/utils/torchsummary.py
+++ b/research/pytorch-segmentation_adapter/utils/torchsummary.py
@@ -3,9 +3,9 @@ A modied version of the code by Tae Hwan Jung
 https://github.com/graykode/modelsummary
 """
 
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 import numpy as np
-import ms_adapter.pytorch.nn as nn
+import msadapter.pytorch.nn as nn
 from collections import OrderedDict
 
 def summary(model, input_shape, batch_size=-1, intputshow=True):
diff --git a/research/pytorch-segmentation_adapter/utils/transforms.py b/research/pytorch-segmentation_adapter/utils/transforms.py
index a3f4616..4699009 100644
--- a/research/pytorch-segmentation_adapter/utils/transforms.py
+++ b/research/pytorch-segmentation_adapter/utils/transforms.py
@@ -2,7 +2,7 @@ import random
 import numpy as np
 from PIL import Image, ImageOps, ImageFilter
 from skimage.filters import gaussian
-import ms_adapter.pytorch as torch
+import msadapter.pytorch as torch
 import math
 import numbers
 import random
diff --git a/tools/comparison_by_inference .py b/tools/comparison_by_inference .py
index 5e5e313..5497aa5 100644
--- a/tools/comparison_by_inference .py	
+++ b/tools/comparison_by_inference .py	
@@ -11,7 +11,7 @@
 
 import numpy as np
 
-import ms_adapter.pytorch as m_torch
+import msadapter.pytorch as m_torch
 
 import mindspore as ms
 from mindspore import Tensor, save_checkpoint
diff --git a/tools/convert_tensor.py b/tools/convert_tensor.py
index 3aefee9..dbc19cd 100644
--- a/tools/convert_tensor.py
+++ b/tools/convert_tensor.py
@@ -5,7 +5,7 @@ from collections.abc import Mapping, Sequence
 import mindspore as ms
 import torch
 from mindspore.common import dtype as mstype
-from ms_adapter.pytorch.tensor import Tensor
+from msadapter.pytorch.tensor import Tensor
 
 _dtypeConvertor = {
     torch.float16: mstype.float16,
diff --git a/tools/readme.md b/tools/readme.md
index 902aa5a..15bd383 100644
--- a/tools/readme.md
+++ b/tools/readme.md
@@ -44,7 +44,7 @@ train_dataloader = DataLoader(dataset)...
 该接口对迭代数据进行转换：
 
 ```python
-from ms_adapter.pytorch.utils.data import convert_to_ms_tensor
+from msadapter.pytorch.utils.data import convert_to_ms_tensor
 from dataset_and_dataloader import train_dataloader, test_dataloader
 
 for x, y in train_dataloader:
-- 
2.34.1