解决 Cannot open D:\Program Files\Anaconda3\Scripts\pip-script.py 问题

解决pip更新超时问题
本文介绍了在更新pip过程中遇到的超时错误及其解决方案。通过调整超时设置和使用easy_install命令,可以有效解决pip安装过程中的问题。

这里写图片描述
安装Pyhton版openCV时,首先要更新pip版本,运行:

 python -m pip install --upgrade pip

首先报错:

λ python -m pip install --upgrade pip
Collecting pip
  Downloading pip-9.0.1-py2.py3-none-any.whl (1.3MB)
    79% |█████████████████████████▎      | 993kB 18kB/s eta 0:00:14Exception:
Traceback (most recent call last):
  File "F:\Software_download\Anaconda\Lib\site-packages\pip\_vendor\requests\packages\urllib3\response.py", line 228, in _error_catcher
    yield
  File "F:\Software_download\Anaconda\Lib\site-packages\pip\_vendor\requests\packages\urllib3\response.py", line 310, in read
    data = self._fp.read(amt)
  File "F:\Software_download\Anaconda\Lib\site-packages\pip\_vendor\cachecontrol\filewrapper.py", line 49, in read
    data = self.__fp.read(amt)
  File "F:\Software_download\Anaconda\lib\http\client.py", line 448, in read
    n = self.readinto(b)
  File "F:\Software_download\Anaconda\lib\http\client.py", line 488, in readinto
    n = self.fp.readinto(b)
  File "F:\Software_download\Anaconda\lib\socket.py", line 575, in readinto
    return self._sock.recv_into(b)
  File "F:\Software_download\Anaconda\lib\ssl.py", line 929, in recv_into
    return self.read(nbytes, buffer)
  File "F:\Software_download\Anaconda\lib\ssl.py", line 791, in read
    return self._sslobj.read(len, buffer)
  File "F:\Software_download\Anaconda\lib\ssl.py", line 575, in read
    v = self._sslobj.read(len, buffer)
socket.timeout: The read operation timed out

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "F:\Software_download\Anaconda\Lib\site-packages\pip\basecommand.py", line 215, in main
    status = self.run(options, args)
  File "F:\Software_download\Anaconda\Lib\site-packages\pip\commands\install.py", line 310, in run
    wb.build(autobuilding=True)
  File "F:\Software_download\Anaconda\Lib\site-packages\pip\wheel.py", line 750, in build
    self.requirement_set.prepare_files(self.finder)
  File "F:\Software_download\Anaconda\Lib\site-packages\pip\req\req_set.py", line 370, in prepare_files
    ignore_dependencies=self.ignore_dependencies))
  File "F:\Software_download\Anaconda\Lib\site-packages\pip\req\req_set.py", line 587, in _prepare_file
    session=self.session, hashes=hashes)
  File "F:\Software_download\Anaconda\Lib\site-packages\pip\download.py", line 810, in unpack_url

    hashes=hashes
  File "F:\Software_download\Anaconda\Lib\site-packages\pip\download.py", line 649, in unpack_http_url
    hashes)
  File "F:\Software_download\Anaconda\Lib\site-packages\pip\download.py", line 871, in _download_http_url
    _download_url(resp, link, content_file, hashes)
  File "F:\Software_download\Anaconda\Lib\site-packages\pip\download.py", line 595, in _download_url
    hashes.check_against_chunks(downloaded_chunks)
  File "F:\Software_download\Anaconda\Lib\site-packages\pip\utils\hashes.py", line 46, in check_against_chunks
    for chunk in chunks:
  File "F:\Software_download\Anaconda\Lib\site-packages\pip\download.py", line 563, in written_chunks
    for chunk in chunks:
  File "F:\Software_download\Anaconda\Lib\site-packages\pip\utils\ui.py", line 139, in iter
    for x in it:
  File "F:\Software_download\Anaconda\Lib\site-packages\pip\download.py", line 552, in resp_read
    decode_content=False):
  File "F:\Software_download\Anaconda\Lib\site-packages\pip\_vendor\requests\packages\urllib3\response.py", line 353, in stream
    data = self.read(amt=amt, decode_content=decode_content)
  File "F:\Software_download\Anaconda\Lib\site-packages\pip\_vendor\requests\packages\urllib3\response.py", line 320, in read
    flush_decoder = True
  File "F:\Software_download\Anaconda\lib\contextlib.py", line 77, in __exit__
    self.gen.throw(type, value, traceback)
  File "F:\Software_download\Anaconda\Lib\site-packages\pip\_vendor\requests\packages\urllib3\response.py", line 233, in _error_catcher
    raise ReadTimeoutError(self._pool, None, 'Read timed out.')
pip._vendor.requests.packages.urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(host='pypi.python.org', port=443): Read timed out.

为了解决这个问题,在网上查找相关资料时输入:

pip --default-timeout=100 install -U pip

这时报错:
这里写图片描述

Cannot open D:\Program Files\Anaconda3\Scripts\pip-script.py

这个问题还是pip安装的问题,所以可以在命令行窗口(或者win+r) 输入:

easy_install pip

就可以了!

C:\Users\wangs>nvidia-smi Sun Nov 23 18:46:42 2025 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 556.19 Driver Version: 556.19 CUDA Version: 12.5 |这是我的电脑,在anaconda中操作, (base) C:\Users\wangs>conda activate Resnet (Resnet) C:\Users\wangs>conda install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121 usage: conda-script.py [-h] [-v] [--no-plugins] [-V] COMMAND ... conda-script.py: error: unrecognized arguments: --index-url https://download.pytorch.org/whl/cu121 (Resnet) C:\Users\wangs>pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121 Looking in indexes: https://download.pytorch.org/whl/cu121 Collecting torch Using cached https://download.pytorch.org/whl/cu121/torch-2.5.1%2Bcu121-cp39-cp39-win_amd64.whl (2449.3 MB) Collecting torchvision Using cached https://download.pytorch.org/whl/cu121/torchvision-0.20.1%2Bcu121-cp39-cp39-win_amd64.whl (6.1 MB) Collecting torchaudio Using cached https://download.pytorch.org/whl/cu121/torchaudio-2.5.1%2Bcu121-cp39-cp39-win_amd64.whl (4.1 MB) Collecting filelock (from torch) Downloading https://download.pytorch.org/whl/filelock-3.19.1-py3-none-any.whl.metadata (2.1 kB) Requirement already satisfied: typing-extensions>=4.8.0 in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from torch) (4.14.1) Collecting networkx (from torch) Downloading https://download.pytorch.org/whl/networkx-3.5-py3-none-any.whl.metadata (6.3 kB) Requirement already satisfied: jinja2 in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from torch) (3.1.6) Collecting fsspec (from torch) Downloading https://download.pytorch.org/whl/fsspec-2025.9.0-py3-none-any.whl.metadata (10 kB) Collecting sympy==1.13.1 (from torch) Using cached https://download.pytorch.org/whl/sympy-1.13.1-py3-none-any.whl (6.2 MB) Collecting mpmath<1.4,>=1.1.0 (from sympy==1.13.1->torch) Downloading https://download.pytorch.org/whl/mpmath-1.3.0-py3-none-any.whl (536 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 536.2/536.2 kB 1.8 MB/s 0:00:00 Requirement already satisfied: numpy in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from torchvision) (2.0.2) Collecting pillow!=8.3.*,>=5.3.0 (from torchvision) Downloading https://download.pytorch.org/whl/pillow-11.3.0-cp39-cp39-win_amd64.whl.metadata (9.2 kB) Requirement already satisfied: MarkupSafe>=2.0 in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from jinja2->torch) (3.0.2) INFO: pip is looking at multiple versions of networkx to determine which version is compatible with other requirements. This could take a while. Collecting networkx (from torch) Downloading https://download.pytorch.org/whl/networkx-3.2.1-py3-none-any.whl.metadata (5.2 kB) Downloading https://download.pytorch.org/whl/pillow-11.3.0-cp39-cp39-win_amd64.whl (7.0 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 7.0/7.0 MB 2.9 MB/s 0:00:02 Downloading https://download.pytorch.org/whl/filelock-3.19.1-py3-none-any.whl (15 kB) Downloading https://download.pytorch.org/whl/fsspec-2025.9.0-py3-none-any.whl (199 kB) Downloading https://download.pytorch.org/whl/networkx-3.2.1-py3-none-any.whl (1.6 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.6/1.6 MB 2.3 MB/s 0:00:00 Installing collected packages: mpmath, sympy, pillow, networkx, fsspec, filelock, torch, torchvision, torchaudio Successfully installed filelock-3.19.1 fsspec-2025.9.0 mpmath-1.3.0 networkx-3.2.1 pillow-11.3.0 sympy-1.13.1 torch-2.5.1+cu121 torchaudio-2.5.1+cu121 torchvision-0.20.1+cu121 (Resnet) C:\Users\wangs>conda install monai Channels: - conda-forge - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2 - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/pro - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - defaults Platform: win-64 Collecting package metadata (repodata.json): done Solving environment: done ## Package Plan ## environment location: C:\Users\wangs\anaconda3\envs\Resnet added / updated specs: - monai The following packages will be downloaded: package | build ---------------------------|----------------- _openmp_mutex-4.5 | 2_gnu 48 KB conda-forge cuda-cudart-12.9.79 | he0c23c2_0 167 KB conda-forge cuda-cudart_win-64-12.9.79 | he0c23c2_0 23 KB conda-forge cuda-cupti-12.9.79 | hac47afa_1 3.8 MB conda-forge cuda-nvrtc-12.9.86 | hac47afa_1 55.8 MB conda-forge cuda-version-12.9 | h4f385c5_3 21 KB conda-forge cudnn-9.10.2.21 | h32ff316_0 19 KB conda-forge filelock-3.19.1 | pyhd8ed1ab_0 18 KB conda-forge fsspec-2025.7.0 | pyhd8ed1ab_0 142 KB conda-forge intel-openmp-2024.2.1 | h57928b3_1083 1.8 MB conda-forge libblas-3.9.0 | 35_h5709861_mkl 64 KB conda-forge libcblas-3.9.0 | 35_h2a3cdd5_mkl 65 KB conda-forge libcublas-12.9.1.4 | hac47afa_1 439.8 MB conda-forge libcudnn-9.10.2.21 | hca898b4_0 486.1 MB conda-forge libcudnn-dev-9.10.2.21 | hca898b4_0 153 KB conda-forge libcudss-0.6.0.5 | hca898b4_0 33.7 MB conda-forge libcufft-11.4.1.4 | hac47afa_1 154.7 MB conda-forge libcurand-10.3.10.19 | hac47afa_1 46.8 MB conda-forge libcusolver-11.7.5.82 | hac47afa_2 189.0 MB conda-forge libcusparse-12.5.10.65 | hac47afa_2 196.9 MB conda-forge liblapack-3.9.0 | 35_hf9ab0e9_mkl 77 KB conda-forge libmagma-2.9.0 | hb6a17ea_3 441.8 MB conda-forge libnvjitlink-12.9.86 | hac47afa_2 26.1 MB conda-forge libtorch-2.7.1 |cuda128_mkl_h2cc4d28_304 517.5 MB conda-forge libuv-1.51.0 | hfd05255_1 290 KB conda-forge llvm-openmp-20.1.8 | h29ce207_0 329 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/man mkl-2024.2.2 | h57928b3_16 98.3 MB conda-forge monai-1.5.1 | pyhd8ed1ab_0 1.2 MB conda-forge mpmath-1.3.0 | pyhd8ed1ab_1 429 KB conda-forge networkx-3.2.1 | pyhd8ed1ab_0 1.1 MB conda-forge optree-0.17.0 | py39h9da4e41_0 326 KB conda-forge pybind11-3.0.1 | pyh7a1b43c_0 227 KB conda-forge pybind11-global-3.0.1 | pyh5e4992e_0 222 KB conda-forge pytorch-2.7.1 |cuda128_mkl_py39_hf237e59_304 22.6 MB conda-forge sleef-3.9.0 | h67fd636_0 2.2 MB conda-forge sympy-1.14.0 | pyh04b8f61_5 4.4 MB conda-forge tbb-2021.13.0 | hd094cb3_4 146 KB conda-forge ------------------------------------------------------------ Total: 2.66 GB The following NEW packages will be INSTALLED: _openmp_mutex conda-forge/win-64::_openmp_mutex-4.5-2_gnu cuda-cudart conda-forge/win-64::cuda-cudart-12.9.79-he0c23c2_0 cuda-cudart_win-64 conda-forge/noarch::cuda-cudart_win-64-12.9.79-he0c23c2_0 cuda-cupti conda-forge/win-64::cuda-cupti-12.9.79-hac47afa_1 cuda-nvrtc conda-forge/win-64::cuda-nvrtc-12.9.86-hac47afa_1 cuda-version conda-forge/noarch::cuda-version-12.9-h4f385c5_3 cudnn conda-forge/win-64::cudnn-9.10.2.21-h32ff316_0 filelock conda-forge/noarch::filelock-3.19.1-pyhd8ed1ab_0 fsspec conda-forge/noarch::fsspec-2025.7.0-pyhd8ed1ab_0 intel-openmp conda-forge/win-64::intel-openmp-2024.2.1-h57928b3_1083 libabseil conda-forge/win-64::libabseil-20250512.1-cxx17_habfad5f_0 libcublas conda-forge/win-64::libcublas-12.9.1.4-hac47afa_1 libcudnn conda-forge/win-64::libcudnn-9.10.2.21-hca898b4_0 libcudnn-dev conda-forge/win-64::libcudnn-dev-9.10.2.21-hca898b4_0 libcudss conda-forge/win-64::libcudss-0.6.0.5-hca898b4_0 libcufft conda-forge/win-64::libcufft-11.4.1.4-hac47afa_1 libcurand conda-forge/win-64::libcurand-10.3.10.19-hac47afa_1 libcusolver conda-forge/win-64::libcusolver-11.7.5.82-hac47afa_2 libcusparse conda-forge/win-64::libcusparse-12.5.10.65-hac47afa_2 libgomp conda-forge/win-64::libgomp-15.2.0-h1383e82_7 libmagma conda-forge/win-64::libmagma-2.9.0-hb6a17ea_3 libnvjitlink conda-forge/win-64::libnvjitlink-12.9.86-hac47afa_2 libprotobuf conda-forge/win-64::libprotobuf-6.31.1-hdcda5b4_2 libtorch conda-forge/win-64::libtorch-2.7.1-cuda128_mkl_h2cc4d28_304 libuv conda-forge/win-64::libuv-1.51.0-hfd05255_1 monai conda-forge/noarch::monai-1.5.1-pyhd8ed1ab_0 mpmath conda-forge/noarch::mpmath-1.3.0-pyhd8ed1ab_1 networkx conda-forge/noarch::networkx-3.2.1-pyhd8ed1ab_0 optree conda-forge/win-64::optree-0.17.0-py39h9da4e41_0 pybind11 conda-forge/noarch::pybind11-3.0.1-pyh7a1b43c_0 pybind11-global conda-forge/noarch::pybind11-global-3.0.1-pyh5e4992e_0 pytorch conda-forge/win-64::pytorch-2.7.1-cuda128_mkl_py39_hf237e59_304 sleef conda-forge/win-64::sleef-3.9.0-h67fd636_0 sympy conda-forge/noarch::sympy-1.14.0-pyh04b8f61_5 The following packages will be SUPERSEDED by a higher-priority channel: llvm-openmp conda-forge::llvm-openmp-21.1.6-h4fa8~ --> anaconda/pkgs/main::llvm-openmp-20.1.8-h29ce207_0 The following packages will be DOWNGRADED: libblas 3.11.0-2_hf2e6a31_mkl --> 3.9.0-35_h5709861_mkl libcblas 3.11.0-2_h2a3cdd5_mkl --> 3.9.0-35_h2a3cdd5_mkl liblapack 3.11.0-2_hf9ab0e9_mkl --> 3.9.0-35_hf9ab0e9_mkl mkl 2025.3.0-hac47afa_454 --> 2024.2.2-h57928b3_16 tbb 2022.3.0-hd094cb3_1 --> 2021.13.0-hd094cb3_4 Proceed ([y]/n)? y done (Resnet) C:\Users\wangs>conda install pandas numpy scikit-learn -y Channels: - conda-forge - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2 - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/pro done (Resnet) C:\Users\wangs>pip install tensorboard Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Collecting tensorboard Using cached https://pypi.tuna.tsinghua.edu.cn/packages/9c/d9/a5db55f88f258ac669a92858b70a714bbbd5acd993820b41ec4a96a4d77f/tensorboard-2.20.0-py3-none-any.whl (5.5 MB) Collecting absl-py>=0.4 (from tensorboard) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/8f/aa/ba0014cc4659328dc818a28827be78e6d97312ab0cb98105a770924dc11e/absl_py-2.3.1-py3-none-any.whl (135 kB) Collecting grpcio>=1.48.2 (from tensorboard) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/de/d1/fb90564a981eedd3cd87dc6bfd7c249e8a515cfad1ed8e9af73be223cd3b/grpcio-1.76.0-cp39-cp39-win_amd64.whl (4.7 MB) Collecting markdown>=2.6.8 (from tensorboard) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/70/ae/44c4a6a4cbb496d93c6257954260fe3a6e91b7bed2240e5dad2a717f5111/markdown-3.9-py3-none-any.whl (107 kB) Requirement already satisfied: numpy>=1.12.0 in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from tensorboard) (2.0.2) Requirement already satisfied: packaging in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from tensorboard) (25.0) Requirement already satisfied: pillow in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from tensorboard) (11.3.0) Collecting protobuf!=4.24.0,>=3.19.6 (from tensorboard) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/a2/0f/77b5a12825d59af2596634f062eb1a472f44494965a05dcd97cb5daf3ae5/protobuf-6.33.1-cp39-cp39-win_amd64.whl (436 kB) Requirement already satisfied: setuptools>=41.0.0 in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from tensorboard) (80.9.0) Collecting tensorboard-data-server<0.8.0,>=0.7.0 (from tensorboard) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/7a/13/e503968fefabd4c6b2650af21e110aa8466fe21432cd7c43a84577a89438/tensorboard_data_server-0.7.2-py3-none-any.whl (2.4 kB) Collecting werkzeug>=1.0.1 (from tensorboard) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/52/24/ab44c871b0f07f491e5d2ad12c9bd7358e527510618cb1b803a88e986db1/werkzeug-3.1.3-py3-none-any.whl (224 kB) Requirement already satisfied: typing-extensions~=4.12 in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from grpcio>=1.48.2->tensorboard) (4.14.1) Requirement already satisfied: importlib-metadata>=4.4 in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from markdown>=2.6.8->tensorboard) (8.7.0) Requirement already satisfied: zipp>=3.20 in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from importlib-metadata>=4.4->markdown>=2.6.8->tensorboard) (3.23.0) Requirement already satisfied: MarkupSafe>=2.1.1 in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from werkzeug>=1.0.1->tensorboard) (3.0.2) Installing collected packages: werkzeug, tensorboard-data-server, protobuf, grpcio, absl-py, markdown, tensorboard Successfully installed absl-py-2.3.1 grpcio-1.76.0 markdown-3.9 protobuf-6.33.1 tensorboard-2.20.0 tensorboard-data-server-0.7.2 werkzeug-3.1.3 (Resnet) C:\Users\wangs>pip install nibabel Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Collecting nibabel Downloading https://pypi.tuna.tsinghua.edu.cn/packages/43/b2/dc384197be44e2a640bb43311850e23c2c30f3b82ce7c8cdabbf0e53045e/nibabel-5.3.2-py3-none-any.whl (3.3 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.3/3.3 MB 10.2 MB/s 0:00:00 Collecting importlib-resources>=5.12 (from nibabel) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/a4/ed/1f1afb2e9e7f38a545d628f864d562a5ae64fe6f7a10e28ffb9b185b4e89/importlib_resources-6.5.2-py3-none-any.whl (37 kB) Requirement already satisfied: numpy>=1.22 in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from nibabel) (2.0.2) Requirement already satisfied: packaging>=20 in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from nibabel) (25.0) Requirement already satisfied: typing-extensions>=4.6 in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from nibabel) (4.14.1) Requirement already satisfied: zipp>=3.1.0 in c:\users\wangs\anaconda3\envs\resnet\lib\site-packages (from importlib-resources>=5.12->nibabel) (3.23.0) Installing collected packages: importlib-resources, nibabel Successfully installed importlib-resources-6.5.2 nibabel-5.3.2 (Resnet) C:\Users\wangs>pip install chardet Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Collecting chardet Using cached https://pypi.tuna.tsinghua.edu.cn/packages/38/6f/f5fbc992a329ee4e0f288c1fe0e2ad9485ed064cac731ed2fe47dcc38cbf/chardet-5.2.0-py3-none-any.whl (199 kB) Installing collected packages: chardet Successfully installed chardet-5.2.0 (Resnet) C:\Users\wangs>conda install tqdm -y Channels: done (Resnet) C:\Users\wangs>python -c "import torch; print(&#39;PyTorch:&#39;, torch.__version__); print(&#39;CUDA可用:&#39;, torch.cuda.is_available())" Traceback (most recent call last): File "<string>", line 1, in <module> File "C:\Users\wangs\anaconda3\envs\Resnet\lib\site-packages\torch\__init__.py", line 2126, in <module> from torch import _VF as _VF, functional as functional # usort: skip File "C:\Users\wangs\anaconda3\envs\Resnet\lib\site-packages\torch\functional.py", line 8, in <module> import torch.nn.functional as F File "C:\Users\wangs\anaconda3\envs\Resnet\lib\site-packages\torch\nn\__init__.py", line 8, in <module> from torch.nn.modules import * # usort: skip # noqa: F403 File "C:\Users\wangs\anaconda3\envs\Resnet\lib\site-packages\torch\nn\modules\__init__.py", line 1, in <module> from .module import Module # usort: skip File "C:\Users\wangs\anaconda3\envs\Resnet\lib\site-packages\torch\nn\modules\module.py", line 17, in <module> from torch.utils._python_dispatch import is_traceable_wrapper_subclass File "C:\Users\wangs\anaconda3\envs\Resnet\lib\site-packages\torch\utils\__init__.py", line 8, in <module> from torch.utils import ( File "C:\Users\wangs\anaconda3\envs\Resnet\lib\site-packages\torch\utils\data\__init__.py", line 1, in <module> from torch.utils.data.dataloader import ( File "C:\Users\wangs\anaconda3\envs\Resnet\lib\site-packages\torch\utils\data\dataloader.py", line 21, in <module> import torch.distributed as dist File "C:\Users\wangs\anaconda3\envs\Resnet\lib\site-packages\torch\distributed\__init__.py", line 122, in <module> from .device_mesh import DeviceMesh, init_device_mesh File "C:\Users\wangs\anaconda3\envs\Resnet\lib\site-packages\torch\distributed\device_mesh.py", line 40, in <module> from torch.distributed.distributed_c10d import ( File "C:\Users\wangs\anaconda3\envs\Resnet\lib\site-packages\torch\distributed\distributed_c10d.py", line 236, in <module> class Backend(str): # noqa: SLOT000 File "C:\Users\wangs\anaconda3\envs\Resnet\lib\site-packages\torch\distributed\distributed_c10d.py", line 287, in Backend XCCL: ProcessGroup.BackendType.XCCL, AttributeError: type object &#39;torch._C._distributed_c10d.BackendType&#39; has no attribute &#39;XCCL&#39; (Resnet) C:\Users\wangs>pip uninstall torch torchvision torchaudio -y Found existing installation: torch 2.5.1+cu121 Uninstalling torch-2.5.1+cu121: Successfully uninstalled torch-2.5.1+cu121 WARNING: Failed to remove contents in a temporary directory &#39;C:\Users\wangs\anaconda3\envs\Resnet\Lib\site-packages\torch\~ib&#39;. You can safely remove it manually. Found existing installation: torchvision 0.20.1+cu121 Uninstalling torchvision-0.20.1+cu121: Successfully uninstalled torchvision-0.20.1+cu121 Found existing installation: torchaudio 2.5.1+cu121 Uninstalling torchaudio-2.5.1+cu121: Successfully uninstalled torchaudio-2.5.1+cu121 (Resnet) C:\Users\wangs>conda install pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia Channels: - pytorch - nvidia - conda-forge - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2 - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/pro - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - defaults Platform: win-64 Collecting package metadata (repodata.json): done Solving environment: done ## Package Plan ## environment location: C:\Users\wangs\anaconda3\envs\Resnet added / updated specs: - pytorch - pytorch-cuda=11.8 - torchaudio - torchvision The following packages will be downloaded: package | build ---------------------------|----------------- cuda-cccl-12.9.27 | 0 16 KB nvidia cuda-cccl_win-64-12.9.27 | 0 1.1 MB nvidia cuda-cudart-11.8.89 | 0 1.4 MB nvidia cuda-cudart-dev-11.8.89 | 0 723 KB nvidia cuda-cupti-11.8.87 | 0 11.5 MB nvidia cuda-libraries-11.8.0 | 0 1 KB nvidia cuda-libraries-dev-11.8.0 | 0 1 KB nvidia cuda-nvrtc-11.8.89 | 0 72.1 MB nvidia cuda-nvrtc-dev-11.8.89 | 0 16.1 MB nvidia cuda-nvtx-11.8.86 | 0 43 KB nvidia cuda-profiler-api-12.9.79 | 0 19 KB nvidia cuda-runtime-11.8.0 | 0 1 KB nvidia imath-3.1.12 | hbb528cf_0 157 KB conda-forge libabseil-20250127.1 | cxx17_h4eb7d71_0 1.8 MB conda-forge libcublas-11.11.3.6 | 0 33 KB nvidia libcublas-dev-11.11.3.6 | 0 375.9 MB nvidia libcufft-10.9.0.58 | 0 6 KB nvidia libcufft-dev-10.9.0.58 | 0 144.6 MB nvidia libcurand-dev-10.3.5.147 | 0 49.7 MB nvidia libcusolver-11.4.1.48 | 0 29 KB nvidia libcusolver-dev-11.4.1.48 | 0 94.1 MB nvidia libcusparse-11.7.5.86 | 0 13 KB nvidia libcusparse-dev-11.7.5.86 | 0 175.7 MB nvidia libnpp-11.8.0.86 | 0 294 KB nvidia libnpp-dev-11.8.0.86 | 0 143.2 MB nvidia libnvjpeg-11.9.0.86 | 0 4 KB nvidia libnvjpeg-dev-11.9.0.86 | 0 1.9 MB nvidia libopencv-4.12.0 |qt6_py39h45bf879_600 32.6 MB conda-forge libopenvino-2025.0.0 | hb1d9b14_3 3.3 MB conda-forge libopenvino-auto-batch-plugin-2025.0.0| h04f32e0_3 99 KB conda-forge libopenvino-auto-plugin-2025.0.0| h04f32e0_3 189 KB conda-forge libopenvino-hetero-plugin-2025.0.0| hb61b842_3 157 KB conda-forge libopenvino-intel-cpu-plugin-2025.0.0| hb1d9b14_3 8.3 MB conda-forge libopenvino-intel-gpu-plugin-2025.0.0| hb1d9b14_3 7.7 MB conda-forge libopenvino-ir-frontend-2025.0.0| hb61b842_3 156 KB conda-forge libopenvino-onnx-frontend-2025.0.0| hf9c6bd6_3 1013 KB conda-forge libopenvino-paddle-frontend-2025.0.0| hf9c6bd6_3 418 KB conda-forge libopenvino-pytorch-frontend-2025.0.0| he0c23c2_3 677 KB conda-forge libopenvino-tensorflow-frontend-2025.0.0| hd51e7bd_3 864 KB conda-forge libopenvino-tensorflow-lite-frontend-2025.0.0| he0c23c2_3 329 KB conda-forge libprotobuf-5.29.3 | hd33f5f0_2 6.7 MB conda-forge libtorch-2.5.1 |cpu_mkl_hf54a72f_117 31.6 MB conda-forge opencv-4.12.0 |qt6_py39hb5cec6c_600 27 KB conda-forge openexr-3.3.5 | h4750f91_0 1.0 MB conda-forge pthread-stubs-0.4 | h0e40799_1002 9 KB conda-forge py-opencv-4.12.0 |qt6_py39h54bbc76_600 1.1 MB conda-forge pytorch-2.5.1 |cpu_mkl_py39_hab059a2_117 20.8 MB conda-forge pytorch-cuda-11.8 | h24eeafa_6 7 KB pytorch pytorch-mutex-1.0 | cuda 3 KB pytorch setuptools-75.8.2 | pyhff2d567_0 760 KB conda-forge torchaudio-2.5.1 | py39_cu118 7.1 MB pytorch torchvision-0.20.1 | py39_cu118 7.7 MB pytorch ------------------------------------------------------------ Total: 1.19 GB The following NEW packages will be INSTALLED: cuda-cccl nvidia/win-64::cuda-cccl-12.9.27-0 cuda-cccl_win-64 nvidia/win-64::cuda-cccl_win-64-12.9.27-0 cuda-cudart-dev nvidia/win-64::cuda-cudart-dev-11.8.89-0 cuda-libraries nvidia/win-64::cuda-libraries-11.8.0-0 cuda-libraries-dev nvidia/win-64::cuda-libraries-dev-11.8.0-0 cuda-nvrtc-dev nvidia/win-64::cuda-nvrtc-dev-11.8.89-0 cuda-nvtx nvidia/win-64::cuda-nvtx-11.8.86-0 cuda-profiler-api nvidia/win-64::cuda-profiler-api-12.9.79-0 cuda-runtime nvidia/win-64::cuda-runtime-11.8.0-0 lcms2 conda-forge/win-64::lcms2-2.17-hbcf6048_0 libcublas-dev nvidia/win-64::libcublas-dev-11.11.3.6-0 libcufft-dev nvidia/win-64::libcufft-dev-10.9.0.58-0 libcurand-dev nvidia/win-64::libcurand-dev-10.3.5.147-0 libcusolver-dev nvidia/win-64::libcusolver-dev-11.4.1.48-0 libcusparse-dev nvidia/win-64::libcusparse-dev-11.7.5.86-0 libgcc conda-forge/win-64::libgcc-15.2.0-h1383e82_7 libnpp nvidia/win-64::libnpp-11.8.0.86-0 libnpp-dev nvidia/win-64::libnpp-dev-11.8.0.86-0 libnvjpeg nvidia/win-64::libnvjpeg-11.9.0.86-0 libnvjpeg-dev nvidia/win-64::libnvjpeg-dev-11.9.0.86-0 libwebp conda-forge/win-64::libwebp-1.6.0-h4d5522a_0 libxcb conda-forge/win-64::libxcb-1.17.0-h0e4246c_0 openjpeg conda-forge/win-64::openjpeg-2.5.4-h24db6dd_0 pillow conda-forge/win-64::pillow-11.3.0-py39hbad85af_0 pthread-stubs conda-forge/win-64::pthread-stubs-0.4-h0e40799_1002 pytorch-cuda pytorch/win-64::pytorch-cuda-11.8-h24eeafa_6 pytorch-mutex pytorch/noarch::pytorch-mutex-1.0-cuda torchaudio pytorch/win-64::torchaudio-2.5.1-py39_cu118 torchvision pytorch/win-64::torchvision-0.20.1-py39_cu118 xorg-libxau conda-forge/win-64::xorg-libxau-1.0.12-hba3369d_1 xorg-libxdmcp conda-forge/win-64::xorg-libxdmcp-1.1.5-hba3369d_1 The following packages will be REMOVED: libmagma-2.9.0-hb6a17ea_3 The following packages will be SUPERSEDED by a higher-priority channel: cuda-cudart conda-forge::cuda-cudart-12.9.79-he0c~ --> nvidia::cuda-cudart-11.8.89-0 cuda-cupti conda-forge::cuda-cupti-12.9.79-hac47~ --> nvidia::cuda-cupti-11.8.87-0 cuda-nvrtc conda-forge::cuda-nvrtc-12.9.86-hac47~ --> nvidia::cuda-nvrtc-11.8.89-0 libcublas conda-forge::libcublas-12.9.1.4-hac47~ --> nvidia::libcublas-11.11.3.6-0 libcufft conda-forge::libcufft-11.4.1.4-hac47a~ --> nvidia::libcufft-10.9.0.58-0 libcusolver conda-forge::libcusolver-11.7.5.82-ha~ --> nvidia::libcusolver-11.4.1.48-0 libcusparse conda-forge::libcusparse-12.5.10.65-h~ --> nvidia::libcusparse-11.7.5.86-0 The following packages will be DOWNGRADED: imath 3.2.1-h1608b31_0 --> 3.1.12-hbb528cf_0 libabseil 20250512.1-cxx17_habfad5f_0 --> 20250127.1-cxx17_h4eb7d71_0 libopencv 4.12.0-qt6_py39hee57e69_602 --> 4.12.0-qt6_py39h45bf879_600 libopenvino 2025.2.0-hbf28c98_1 --> 2025.0.0-hb1d9b14_3 libopenvino-auto-~ 2025.2.0-hdd9a157_1 --> 2025.0.0-h04f32e0_3 libopenvino-auto-~ 2025.2.0-hdd9a157_1 --> 2025.0.0-h04f32e0_3 libopenvino-heter~ 2025.2.0-hc39e7c6_1 --> 2025.0.0-hb61b842_3 libopenvino-intel~ 2025.2.0-hbf28c98_1 --> 2025.0.0-hb1d9b14_3 libopenvino-intel~ 2025.2.0-hbf28c98_1 --> 2025.0.0-hb1d9b14_3 libopenvino-ir-fr~ 2025.2.0-hc39e7c6_1 --> 2025.0.0-hb61b842_3 libopenvino-onnx-~ 2025.2.0-hee3bb10_1 --> 2025.0.0-hf9c6bd6_3 libopenvino-paddl~ 2025.2.0-hee3bb10_1 --> 2025.0.0-hf9c6bd6_3 libopenvino-pytor~ 2025.2.0-hac47afa_1 --> 2025.0.0-he0c23c2_3 libopenvino-tenso~ 2025.2.0-h293fe96_1 --> 2025.0.0-hd51e7bd_3 libopenvino-tenso~ 2025.2.0-hac47afa_1 --> 2025.0.0-he0c23c2_3 libprotobuf 6.31.1-hdcda5b4_2 --> 5.29.3-hd33f5f0_2 libtorch 2.7.1-cuda128_mkl_h2cc4d28_304 --> 2.5.1-cpu_mkl_hf54a72f_117 opencv 4.12.0-qt6_py39h5bb9280_602 --> 4.12.0-qt6_py39hb5cec6c_600 openexr 3.3.5-hed76565_1 --> 3.3.5-h4750f91_0 py-opencv 4.12.0-qt6_py39h58a0e84_602 --> 4.12.0-qt6_py39h54bbc76_600 pytorch 2.7.1-cuda128_mkl_py39_hf237e59_304 --> 2.5.1-cpu_mkl_py39_hab059a2_117 setuptools 80.9.0-pyhff2d567_0 --> 75.8.2-pyhff2d567_0 Proceed ([y]/n)? y done (Resnet) C:\Users\wangs>nvcc --version &#39;nvcc&#39; 不是内部或外部命令,也不是可运行的程序 或批处理文件。 (Resnet) C:\Users\wangs>conda remove pytorch torchvision torchaudio pytorch-cuda libtorch "libopenvino*" -y PackagesNotFoundError: The following packages are missing from the target environment: - libopenvino* (Resnet) C:\Users\wangs>conda clean --packages --tarballs -y Will remove 199 (4.00 GB) tarball(s). Will remove 167 (7.13 GB) package(s). WARNING: cannot remove, file permissions: C:\Users\wangs\anaconda3\pkgs\pytorch-2.7.1-cuda128_mkl_py39_hf237e59_304 (Resnet) C:\Users\wangs>conda install pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia --override-channels Channels: - pytorch - nvidia Platform: win-64 Collecting package metadata (repodata.json): done Solving environment: done # All requested packages already installed. (Resnet) C:\Users\wangs>conda list | findstr /I "torch cuda nvidia" cuda-cccl 12.9.27 0 nvidia cuda-cccl_win-64 12.9.27 0 nvidia cuda-cudart 11.8.89 0 nvidia cuda-cudart-dev 11.8.89 0 nvidia cuda-cudart_win-64 12.9.79 he0c23c2_0 conda-forge cuda-cupti 11.8.87 0 nvidia cuda-libraries 11.8.0 0 nvidia cuda-libraries-dev 11.8.0 0 nvidia cuda-nvrtc 11.8.89 0 nvidia cuda-nvrtc-dev 11.8.89 0 nvidia cuda-nvtx 11.8.86 0 nvidia cuda-profiler-api 12.9.79 0 nvidia cuda-runtime 11.8.0 0 nvidia cuda-version 12.9 h4f385c5_3 conda-forge libcublas 11.11.3.6 0 nvidia libcublas-dev 11.11.3.6 0 nvidia libcufft 10.9.0.58 0 nvidia libcufft-dev 10.9.0.58 0 nvidia libcurand-dev 10.3.5.147 0 nvidia libcusolver 11.4.1.48 0 nvidia libcusolver-dev 11.4.1.48 0 nvidia libcusparse 11.7.5.86 0 nvidia libcusparse-dev 11.7.5.86 0 nvidia libnpp 11.8.0.86 0 nvidia libnpp-dev 11.8.0.86 0 nvidia libnvjpeg 11.9.0.86 0 nvidia libnvjpeg-dev 11.9.0.86 0 nvidia libopenvino-pytorch-frontend 2025.0.0 he0c23c2_3 conda-forge libtorch 2.5.1 cpu_mkl_hf54a72f_117 conda-forge pytorch 2.5.1 cpu_mkl_py39_hab059a2_117 conda-forge pytorch-cuda 11.8 h24eeafa_6 pytorch pytorch-mutex 1.0 cuda pytorch torchaudio 2.5.1 pypi_0 pypi torchvision 0.20.1 pypi_0 pypi (Resnet) C:\Users\wangs>conda remove pytorch torchvision torchaudio pytorch-cuda libtorch "libopenvino*" "cuda-cccl*" cuda-cccl cuda-cccl_win-64 cuda-cudart_win-64 cuda-profiler-api cuda-version -y PackagesNotFoundError: The following packages are missing from the target environment: - cuda-cccl* (Resnet) C:\Users\wangs>conda install pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia --override-channels Channels: - pytorch - nvidia Platform: win-64 Collecting package metadata (repodata.json): done Solving environment: done # All requested packages already installed. (Resnet) C:\Users\wangs>conda list | findstr /I "torch cuda nvidia" cuda-cccl 12.9.27 0 nvidia cuda-cccl_win-64 12.9.27 0 nvidia cuda-cudart 11.8.89 0 nvidia cuda-cudart-dev 11.8.89 0 nvidia cuda-cudart_win-64 12.9.79 he0c23c2_0 conda-forge cuda-cupti 11.8.87 0 nvidia cuda-libraries 11.8.0 0 nvidia cuda-libraries-dev 11.8.0 0 nvidia cuda-nvrtc 11.8.89 0 nvidia cuda-nvrtc-dev 11.8.89 0 nvidia cuda-nvtx 11.8.86 0 nvidia cuda-profiler-api 12.9.79 0 nvidia cuda-runtime 11.8.0 0 nvidia cuda-version 12.9 h4f385c5_3 conda-forge libcublas 11.11.3.6 0 nvidia libcublas-dev 11.11.3.6 0 nvidia libcufft 10.9.0.58 0 nvidia libcufft-dev 10.9.0.58 0 nvidia libcurand-dev 10.3.5.147 0 nvidia libcusolver 11.4.1.48 0 nvidia libcusolver-dev 11.4.1.48 0 nvidia libcusparse 11.7.5.86 0 nvidia libcusparse-dev 11.7.5.86 0 nvidia libnpp 11.8.0.86 0 nvidia libnpp-dev 11.8.0.86 0 nvidia libnvjpeg 11.9.0.86 0 nvidia libnvjpeg-dev 11.9.0.86 0 nvidia libopenvino-pytorch-frontend 2025.0.0 he0c23c2_3 conda-forge libtorch 2.5.1 cpu_mkl_hf54a72f_117 conda-forge pytorch 2.5.1 cpu_mkl_py39_hab059a2_117 conda-forge pytorch-cuda 11.8 h24eeafa_6 pytorch pytorch-mutex 1.0 cuda pytorch torchaudio 2.5.1 pypi_0 pypi torchvision 0.20.1 pypi_0 pypi (Resnet) C:\Users\wangs>conda remove -y \ PackagesNotFoundError: The following packages are missing from the target environment: - \ (Resnet) C:\Users\wangs> "pytorch" "libtorch" "pytorch-cuda" "pytorch-mutex" \ &#39;"pytorch"&#39; 不是内部或外部命令,也不是可运行的程序 或批处理文件。 (Resnet) C:\Users\wangs> "libopenvino*" \ &#39;"libopenvino*"&#39; 不是内部或外部命令,也不是可运行的程序 或批处理文件。 (Resnet) C:\Users\wangs> "cuda-cccl*" "cuda-cudart_win-64" "cuda-profiler-api" "cuda-version" \ &#39;"cuda-cccl*"&#39; 不是内部或外部命令,也不是可运行的程序 或批处理文件。 (Resnet) C:\Users\wangs> conda remove -y \ PackagesNotFoundError: The following packages are missing from the target environment: - \ (Resnet) C:\Users\wangs> "pytorch" "libtorch" "pytorch-cuda" "pytorch-mutex" \ &#39;"pytorch"&#39; 不是内部或外部命令,也不是可运行的程序 或批处理文件。 (Resnet) C:\Users\wangs> "libopenvino*" \ &#39;"libopenvino*"&#39; 不是内部或外部命令,也不是可运行的程序 或批处理文件。 (Resnet) C:\Users\wangs> "cuda-cccl*" "cuda-cudart_win-64" "cuda-profiler-api" "cuda-version" \ &#39;"cuda-cccl*"&#39; 不是内部或外部命令,也不是可运行的程序 或批处理文件。 (Resnet) C:\Users\wangs>conda remove -y pytorch libtorch pytorch-cuda pytorch-mutex libopenvino-pytorch-frontend libopenvino libopenvino-auto-batch libopenvino-dev libopenvino-hetero-plugin libopenvino-ir-frontend libopenvino-onnx-frontend libopenvino-paddle-frontend libopenvino-pytorch-frontend libopenvino-tensorflow-frontend libopenvino-tensorflow-lite-frontend cuda-cccl cuda-cccl_win-64 cuda-cudart_win-64 cuda-profiler-api cuda-version PackagesNotFoundError: The following packages are missing from the target environment: - libopenvino-dev - libopenvino-auto-batch (Resnet) C:\Users\wangs>conda install -y pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia --override-channels Channels: - pytorch - nvidia Platform: win-64 Collecting package metadata (repodata.json): done Solving environment: done # All requested packages already installed. (Resnet) C:\Users\wangs>conda list | findstr /I "torch cuda nvidia openvino" cuda-cccl 12.9.27 0 nvidia cuda-cccl_win-64 12.9.27 0 nvidia cuda-cudart 11.8.89 0 nvidia cuda-cudart-dev 11.8.89 0 nvidia cuda-cudart_win-64 12.9.79 he0c23c2_0 conda-forge cuda-cupti 11.8.87 0 nvidia cuda-libraries 11.8.0 0 nvidia cuda-libraries-dev 11.8.0 0 nvidia cuda-nvrtc 11.8.89 0 nvidia cuda-nvrtc-dev 11.8.89 0 nvidia cuda-nvtx 11.8.86 0 nvidia cuda-profiler-api 12.9.79 0 nvidia cuda-runtime 11.8.0 0 nvidia cuda-version 12.9 h4f385c5_3 conda-forge libcublas 11.11.3.6 0 nvidia libcublas-dev 11.11.3.6 0 nvidia libcufft 10.9.0.58 0 nvidia libcufft-dev 10.9.0.58 0 nvidia libcurand-dev 10.3.5.147 0 nvidia libcusolver 11.4.1.48 0 nvidia libcusolver-dev 11.4.1.48 0 nvidia libcusparse 11.7.5.86 0 nvidia libcusparse-dev 11.7.5.86 0 nvidia libnpp 11.8.0.86 0 nvidia libnpp-dev 11.8.0.86 0 nvidia libnvjpeg 11.9.0.86 0 nvidia libnvjpeg-dev 11.9.0.86 0 nvidia libopenvino 2025.0.0 hb1d9b14_3 conda-forge libopenvino-auto-batch-plugin 2025.0.0 h04f32e0_3 conda-forge libopenvino-auto-plugin 2025.0.0 h04f32e0_3 conda-forge libopenvino-hetero-plugin 2025.0.0 hb61b842_3 conda-forge libopenvino-intel-cpu-plugin 2025.0.0 hb1d9b14_3 conda-forge libopenvino-intel-gpu-plugin 2025.0.0 hb1d9b14_3 conda-forge libopenvino-ir-frontend 2025.0.0 hb61b842_3 conda-forge libopenvino-onnx-frontend 2025.0.0 hf9c6bd6_3 conda-forge libopenvino-paddle-frontend 2025.0.0 hf9c6bd6_3 conda-forge libopenvino-pytorch-frontend 2025.0.0 he0c23c2_3 conda-forge libopenvino-tensorflow-frontend 2025.0.0 hd51e7bd_3 conda-forge libopenvino-tensorflow-lite-frontend 2025.0.0 he0c23c2_3 conda-forge libtorch 2.5.1 cpu_mkl_hf54a72f_117 conda-forge pytorch 2.5.1 cpu_mkl_py39_hab059a2_117 conda-forge pytorch-cuda 11.8 h24eeafa_6 pytorch pytorch-mutex 1.0 cuda pytorch torchaudio 2.5.1 pypi_0 pypi torchvision 0.20.1 pypi_0 pypi (Resnet) C:\Users\wangs>conda list | findstr /I "torch cuda nvidia openvino" cuda-cccl 12.9.27 0 nvidia cuda-cccl_win-64 12.9.27 0 nvidia cuda-cudart 11.8.89 0 nvidia cuda-cudart-dev 11.8.89 0 nvidia cuda-cudart_win-64 12.9.79 he0c23c2_0 conda-forge cuda-cupti 11.8.87 0 nvidia cuda-libraries 11.8.0 0 nvidia cuda-libraries-dev 11.8.0 0 nvidia cuda-nvrtc 11.8.89 0 nvidia cuda-nvrtc-dev 11.8.89 0 nvidia cuda-nvtx 11.8.86 0 nvidia cuda-profiler-api 12.9.79 0 nvidia cuda-runtime 11.8.0 0 nvidia cuda-version 12.9 h4f385c5_3 conda-forge libcublas 11.11.3.6 0 nvidia libcublas-dev 11.11.3.6 0 nvidia libcufft 10.9.0.58 0 nvidia libcufft-dev 10.9.0.58 0 nvidia libcurand-dev 10.3.5.147 0 nvidia libcusolver 11.4.1.48 0 nvidia libcusolver-dev 11.4.1.48 0 nvidia libcusparse 11.7.5.86 0 nvidia libcusparse-dev 11.7.5.86 0 nvidia libnpp 11.8.0.86 0 nvidia libnpp-dev 11.8.0.86 0 nvidia libnvjpeg 11.9.0.86 0 nvidia libnvjpeg-dev 11.9.0.86 0 nvidia libopenvino 2025.0.0 hb1d9b14_3 conda-forge libopenvino-auto-batch-plugin 2025.0.0 h04f32e0_3 conda-forge libopenvino-auto-plugin 2025.0.0 h04f32e0_3 conda-forge libopenvino-hetero-plugin 2025.0.0 hb61b842_3 conda-forge libopenvino-intel-cpu-plugin 2025.0.0 hb1d9b14_3 conda-forge libopenvino-intel-gpu-plugin 2025.0.0 hb1d9b14_3 conda-forge libopenvino-ir-frontend 2025.0.0 hb61b842_3 conda-forge libopenvino-onnx-frontend 2025.0.0 hf9c6bd6_3 conda-forge libopenvino-paddle-frontend 2025.0.0 hf9c6bd6_3 conda-forge libopenvino-pytorch-frontend 2025.0.0 he0c23c2_3 conda-forge libopenvino-tensorflow-frontend 2025.0.0 hd51e7bd_3 conda-forge libopenvino-tensorflow-lite-frontend 2025.0.0 he0c23c2_3 conda-forge libtorch 2.5.1 cpu_mkl_hf54a72f_117 conda-forge pytorch 2.5.1 cpu_mkl_py39_hab059a2_117 conda-forge pytorch-cuda 11.8 h24eeafa_6 pytorch pytorch-mutex 1.0 cuda pytorch torchaudio 2.5.1 pypi_0 pypi torchvision 0.20.1 pypi_0 pypi (Resnet) C:\Users\wangs>where python C:\Users\wangs\anaconda3\envs\Resnet\python.exe C:\Users\wangs\AppData\Local\Programs\Python\Python313\python.exe C:\Users\wangs\AppData\Local\Microsoft\WindowsApps\python.exe (Resnet) C:\Users\wangs>where pip C:\Users\wangs\anaconda3\envs\Resnet\Scripts\pip.exe C:\Users\wangs\AppData\Local\Programs\Python\Python313\Scripts\pip.exe (Resnet) C:\Users\wangs>where torch 信息: 用提供的模式无法找到文件。 (Resnet) C:\Users\wangs>pip show torch Name: torch Version: 2.5.1 Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration Home-page: https://pytorch.org/ Author: PyTorch Team Author-email: packages@pytorch.org License: BSD-3-Clause Location: c:\users\wangs\anaconda3\envs\resnet\lib\site-packages Requires: filelock, fsspec, jinja2, networkx, sympy, typing-extensions Required-by: monai, torchaudio, torchvision (Resnet) C:\Users\wangs>python -m torch.utils.collect_env Traceback (most recent call last): File "C:\Users\wangs\anaconda3\envs\Resnet\lib\runpy.py", line 188, in _run_module_as_main mod_name, mod_spec, code = _get_module_details(mod_name, _Error) File "C:\Users\wangs\anaconda3\envs\Resnet\lib\runpy.py", line 111, in _get_module_details __import__(pkg_name) File "C:\Users\wangs\anaconda3\envs\Resnet\lib\site-packages\torch\__init__.py", line 367, in <module> from torch._C import * # noqa: F403 ImportError: DLL load failed while importing _C: 找不到指定的程序。
最新发布
11-24
<think>嗯,用户遇到了pip脚本文件缺失的问题,具体路径是E:\Anaconda\Scripts\pip-script.py。根据之前的引用,这个问题通常是由于pip未正确安装或环境变量配置错误导致的。用户之前可能尝试过一些方法,比如用easy_install重新安装pip,但可能遇到了问题,比如easy_install命令不可用。 首先,我需要确认用户的环境是否正确配置。AnacondaScripts目录是否在系统路径中?如果不在,用户可能需要手动添加或者通过Anaconda Prompt来运行命令,因为Anaconda Prompt会自动设置正确的环境变量。 接下来,引用[3]提到使用easy_install重新安装pip,但如果用户没有安装setuptools,那么easy_install可能不可用。这时候可能需要先安装setuptools,或者使用其他方法,比如下载get-pip.py脚本并用Python运行它。不过用户可能已经尝试过这些步骤,但仍有问题,所以需要检查是否步骤正确。 另外,用户当前的路径是E:\Anaconda,而引用中的例子是D盘,这可能意味着用户安装路径不同,需要注意路径的正确性。用户是否在正确的Scripts目录下执行了命令?比如是否在E:\Anaconda\Scripts中运行了easy_install或者pip命令? 还有,用户可能在使用conda命令时遇到问题,比如网络问题导致无法下载包。这时候可以建议更换conda的镜像源,比如使用清华镜像,来加速下载和安装过程。 此外,如果重新安装pip问题依旧,可能需要检查是否有多个Python环境冲突。用户可能同时安装了Anaconda和其他Python版本,导致环境变量指向错误的路径。这时候需要确认Anaconda的环境变量优先级是否高于其他Python安装路径。 最后,如果所有方法都无效,可能需要考虑重新安装Anaconda,但这应该是最后的手段。需要提醒用户在重装前备份环境,避免数据丢失。 总结可能的解决步骤:1. 使用Anaconda Prompt执行命令,确保环境正确。2. 通过conda安装pip3. 手动下载get-pip.py安装。4. 检查环境变量。5. 重装Anaconda。同时要注意路径的正确性,特别是用户提到的E盘路径是否与实际安装路径一致。</think>### 分步解决Anacondapip-script.py缺失问题 #### 步骤1:通过Anaconda Prompt修复 1. 打开**Anaconda Prompt**(确保使用管理员权限) 2. 输入以下命令重新安装pip: ```bash conda install --force-reinstall pip ``` 此操作会覆盖现有pip安装并修复脚本文件[^3][^4] #### 步骤2:手动安装pip(若conda不可用) 1. 下载官方安装脚本: ```bash curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py ``` 若无法使用curl,可直接访问链接下载 2.Anaconda Prompt中执行: ```bash python get-pip.py ``` 注意:需确保使用的python来自Anaconda目录 #### 步骤3:验证环境变量 1. 检查系统环境变量`Path`是否包含: ``` E:\Anaconda E:\Anaconda\Scripts E:\Anaconda\Library\bin ``` 2. 若缺失,需手动添加上述路径[^2][^4] #### 步骤4:清除缓存重试 ```bash conda clean --all conda update --all ```
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