更新setuptools版本：EROR: tensorboard 2.0.2 has requirement setuptools＞=41.0.0,

最新推荐文章于 2024-05-14 16:00:38 发布
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#深度学习 #pip

本文详细介绍了在使用TensorBoard 2.0.2时遇到的与Setuptools版本不兼容的问题。具体表现为TensorBoard要求Setuptools版本需大于等于41.0.0，但系统中已安装的Setuptools版本为40.6.3，导致出现错误。文章提供了有效的解决方法，帮助读者顺利运行TensorBoard。

ERROR: tensorboard 2.0.2 has requirement setuptools>=41.0.0, but you'll have setuptools 40.6.3 which is incompatible.

解决方法：

【异常】tensorboard 1.14.0 has requirement setuptools>=41.0.0, but you'll have setuptools 40.6.3
轮子去哪儿了
09-09 2万+
1. 问题描述： pip 安装 tensorflow 时，出现异常提示，具体如下： pip install tensorflow 出现如下错误提示(setuptools 版本太旧 ， wrapt 不能卸载)： tensorboard 1.14.0 has requirement setuptools>=41.0.0, but you'll have setuptools 40.6.3 wh...
Tensorflow2.0安装异常解决
qq_40247920的博客
01-10 3891
使用命令安装 CPU 版本的命令为： 使用国内清华源安装 TensorFlow CPU 版本 pip install -U tensorflow -i https://pypi.tuna.tsinghua.edu.cn/simple 安装时报错： ERROR: google-auth 1.10.0 has requirement setuptools>=40.3.0, but you’ll ...
setuptools-41.0.0.zip
04-25
Python 2.x/3.x 的setuptools-41.0.0安装包。setuptools是python distutils的加强版，使开发者构建和发布python包更加容易，特别是当包依赖于其他包时。用setuptools构建和发布的包与distutils发布的包类似。包的使用者无需安装setuptools就可以使用该包。
TensorFlow2.1.0安装过程中setuptools、wrapt等相关错误指南
12-20
笔者remove TensorFlow总共四次。 reinstall anaconda 三次。 安装技巧可以根据这个博主的文章进行安装。 https://www.jb51.net/article/184309.htm 我就是用这个教程安装的 因为直接用 pip install安装太慢了 所以在官网CUDA 和cuDNN+清华镜像的TensorFlow来安装比较快。 总结我的几个问题。 一、安装错误 · （1） tensorboard 1.14.0 has requirement setuptools>=41.0.0, but you’ll have setuptools 40.6.3 显然我
ERROR: tensorboard 1.14.0 has requirement setuptools＞=41.0.0（问题解决）
m0_65307735的博客
05-14 358
问题原因： setuptools 版本太低。解决方法：升级setuptools版本。
tensorboard 1.14.0 has requirement setuptools>=41.0.0, but you'll have setuptools 39.1.0
weixin_44179909的博客
07-23 8970
tensorboard 1.14.0 has requirement setuptools>=41.0.0, but you'll have setuptools 39.1.0 which is incompatible. 解决方法： pip uninstall setuptools pip install --ignore-installed setuptools==41.0.0 ...
ERROR: Ignored the following versions that require a different python version: 1.25.0 Requires-Python >=3.9; 1.25.1 Requires-Python >=3.9; 1.25.2 Requires-Python >=3.9; 1.26.0 Requires-Python <3.13,>=3.9; 1.26.1 Requires-Python <3.13,>=3.9; 1.26.2 Requires-Python >=3.9; 1.26.3 Requires-Python >=3.9; 1.26.4 Requires-Python >=3.9; 2.0.0 Requires-Python >=3.9; 2.0.1 Requires-Python >=3.9; 2.0.2 Requires-Python >=3.9; 2.1.0 Requires-Python >=3.10; 2.1.0rc1 Requires-Python >=3.10; 2.1.1 Requires-Python >=3.10; 2.1.2 Requires-Python >=3.10; 2.1.3 Requires-Python >=3.10; 2.2.0 Requires-Python >=3.10; 2.2.0rc1 Requires-Python >=3.10; 2.2.1 Requires-Python >=3.10; 2.2.2 Requires-Python >=3.10; 2.2.3 Requires-Python >=3.10; 2.2.4 Requires-Python >=3.10; 2.2.5 Requires-Python >=3.10 ERROR: Could not find a version that satisfies the requirement mkl-fft==1.3.10 (from versions: 1.3.0, 1.3.1, 1.3.6) ERROR: No matching distribution found for mkl-fft==1.3.10
04-21
- **`AttributeError: module 'numpy' has no attribute 'int'`** 升级`numpy`至1.21.6并检查其他库版本兼容性[^7]。 --- ### --相关问题--: 1. 如何解决TensorFlow在Windows系统上的DLL加载错误？ 2. 为什么...
Please use pip<24.1 if you need to use this version. ERROR: Ignored the following versions that require a different python version: 1.11.0 Requires-Python <3.13,>=3.9; 1.11.0rc1 Requires-Python <3.13,>=3.9; 1.11.0rc2 Requires-Python <3.13,>=3.9; 1.11.1 Requires-Python <3.13,>=3.9; 1.11.2 Requires-Python <3.13,>=3.9; 1.11.3 Requires-Python <3.13,>=3.9; 1.11.4 Requires-Python >=3.9; 1.12.0 Requires-Python >=3.9; 1.12.0rc1 Requires-Python >=3.9; 1.12.0rc2 Requires-Python >=3.9; 1.13.0 Requires-Python >=3.9; 1.13.0rc1 Requires-Python >=3.9; 1.13.1 Requires-Python >=3.9; 1.14.0 Requires-Python >=3.10; 1.14.0rc1 Requires-Python >=3.10; 1.14.0rc2 Requires-Python >=3.10; 1.14.1 Requires-Python >=3.10; 1.15.0 Requires-Python >=3.10; 1.15.0rc1 Requires-Python >=3.10; 1.15.0rc2 Requires-Python >=3.10; 1.15.1 Requires-Python >=3.10; 1.15.2 Requires-Python >=3.10; 1.15.3 Requires-Python >=3.10; 2.1.0 Requires-Python >=3.10; 2.1.0rc1 Requires-Python >=3.10; 2.5.0 Requires-Python >=3.9; 2.5.0.post0 Requires-Python >=3.9; 2.5.0rc0 Requires-Python >=3.9; 2.5.1 Requires-Python >=3.9; 2.5.1.post0 Requires-Python >=3.9; 2.5.1rc0 Requires-Python >=3.9; 2.5.1rc1 Requires-Python >=3.9; 2.5.1rc2 Requires-Python >=3.9; 3.12.0 Requires-Python >=3.9; 3.12.1 Requires-Python >=3.9; 3.13.0 Requires-Python >=3.9; 6.3.0 Requires-Python >=3.9; 6.3.1 Requires-Python >=3.9; 7.5.0 Requires-Python >=3.9; 75.4.0 Requires-Python >=3.9; 75.5.0 Requires-Python >=3.9; 75.6.0 Requires-Python >=3.9; 75.7.0 Requires-Python >=3.9; 75.8.0 Requires-Python >=3.9; 75.8.1 Requires-Python >=3.9; 75.8.2 Requires-Python >=3.9; 75.9.0 Requires-Python >=3.9; 75.9.1 Requires-Python >=3.9; 76.0.0 Requires-Python >=3.9; 76.1.0 Requires-Python >=3.9; 77.0.1 Requires-Python >=3.9; 77.0.3 Requires-Python >=3.9; 78.0.1 Requires-Python >=3.9; 78.0.2 Requires-Python >=3.9; 78.1.0 Requires-Python >=3.9; 78.1.1 Requires-Python >=3.9; 79.0.0 Requires-Python >=3.9; 79.0.1 Requires-Python >=3.9; 80.0.0 Requires-Python >=3.9; 80.0.1 Requires-Python >=3.9; 80.1.0 Requires-Python >=3.9; 80.2.0 Requires-Python >=3.9; 80.3.0 Requires-Python >=3.9; 80.3.1 Requires-Python >=3.9; 80.4.0 Requires-Python >=3.9 ERROR: Could not find a version that satisfies the requirement pytorch_lightning==1.6.4 (from versions: 0.0.2, 0.2, 0.2.2, 0.2.3, 0.2.4, 0.2.4.1, 0.2.5, 0.2.5.1, 0.2.5.2, 0.2.6, 0.3, 0.3.1, 0.3.2, 0.3.3, 0.3.4, 0.3.4.1, 0.3.5, 0.3.6, 0.3.6.1, 0.3.6.3, 0.3.6.4, 0.3.6.5, 0.3.6.6, 0.3.6.7, 0.3.6.8, 0.3.6.9, 0.4.0, 0.4.1, 0.4.2, 0.4.3, 0.4.4, 0.4.5, 0.4.6, 0.4.7, 0.4.8, 0.4.9, 0.5.0, 0.5.1, 0.5.1.2, 0.5.1.3, 0.5.2, 0.5.2.1, 0.5.3, 0.5.3.1, 0.5.3.2, 0.5.3.3, 0.6.0, 0.7.1, 0.7.3, 0.7.5, 0.7.6, 0.8.1, 0.8.3, 0.8.4, 0.8.5, 0.9.0, 0.10.0, 1.0.0, 1.0.1, 1.0.2, 1.0.3, 1.0.4, 1.0.5, 1.0.6, 1.0.7, 1.0.8, 1.1.0, 1.1.1, 1.1.2, 1.1.3, 1.1.4, 1.1.5, 1.1.6, 1.1.7, 1.1.8, 1.2.0rc0, 1.2.0rc1, 1.2.0rc2, 1.2.0, 1.2.1, 1.2.2, 1.2.3, 1.2.4, 1.2.5, 1.2.6, 1.2.7, 1.2.8, 1.2.9, 1.2.10, 1.3.0rc1, 1.3.0rc2, 1.3.0rc3, 1.3.0, 1.3.1, 1.3.2, 1.3.3, 1.3.4, 1.3.5, 1.3.6, 1.3.7, 1.3.7.post0, 1.3.8, 1.4.0rc0, 1.4.0rc1, 1.4.0rc2, 1.4.0, 1.4.1, 1.4.2, 1.4.3, 1.4.4, 1.4.5, 1.4.6, 1.4.7, 1.4.8, 1.4.9, 1.5.0rc0, 1.5.0rc1, 1.5.0, 1.5.1, 1.5.2, 1.5.3, 1.5.4, 1.5.5, 1.5.6, 1.5.7, 1.5.8, 1.5.9, 1.5.10, 1.5.10.post0, 1.6.0rc0, 1.6.0rc1, 1.6.0, 1.6.1, 1.6.2, 1.6.3, 1.6.4, 1.6.5, 1.6.5.post0, 1.7.0rc0, 1.7.0rc1, 1.7.0, 1.7.1, 1.7.2, 1.7.3, 1.7.4, 1.7.5, 1.7.6, 1.7.7, 1.8.0rc0, 1.8.0rc1, 1.8.0rc2, 1.8.0, 1.8.0.post1, 1.8.1, 1.8.2, 1.8.3, 1.8.3.post0, 1.8.3.post1, 1.8.3.post2, 1.8.4, 1.8.4.post0, 1.8.5, 1.8.5.post0, 1.8.6, 1.9.0rc0, 1.9.0, 1.9.1, 1.9.2, 1.9.3, 1.9.4, 1.9.5, 2.0.0rc0, 2.0.0, 2.0.1, 2.0.1.post0, 2.0.2, 2.0.3, 2.0.4, 2.0.5, 2.0.6, 2.0.7, 2.0.8, 2.0.9, 2.0.9.post0, 2.1.0rc0, 2.1.0rc1, 2.1.0, 2.1.1, 2.1.2, 2.1.3, 2.1.4, 2.2.0rc0, 2.2.0, 2.2.0.post0, 2.2.1, 2.2.2, 2.2.3, 2.2.4, 2.2.5, 2.3.0, 2.3.1, 2.3.2, 2.3.3, 2.4.0) ERROR: No matching distribution found for pytorch_lightning==1.6.4
05-15
<think>好的，我需要帮助用户解决在安装PyTorch Lightning 1.6.4时遇到的Python版本和pip版本兼容性问题。用户提到想使用Python 3.9及以上版本和pip版本低于24.1来安装。根据之前的回答，PyTorch Lightning 1.6.4...
(test) C:\Users\张宇>pip install torchvison Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple/ ERROR: Could not find a version that satisfies the requirement torchvison (from versions: none) ERROR: No matching distribution found for torchvison (test) C:\Users\张宇>pip install torchvison Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple/ ERROR: Could not find a version that satisfies the requirement torchvison (from versions: none) ERROR: No matching distribution found for torchvison (test) C:\Users\张宇>pip install torchaudio Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple/ Collecting torchaudio Downloading https://pypi.tuna.tsinghua.edu.cn/packages/43/ab/96ad33afa320738a7cfb4b51ba97e2f3cfb1e04ae3115d5057655103ba4f/torchaudio-2.8.0-cp312-cp312-win_amd64.whl (2.5 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.5/2.5 MB 4.5 MB/s 0:00:00 Requirement already satisfied: torch==2.8.0 in c:\users\张宇\appdata\roaming\python\python312\site-packages (from torchaudio) (2.8.0) Requirement already satisfied: filelock in f:\anaconda\envs\test\lib\site-packages (from torch==2.8.0->torchaudio) (3.19.1) Requirement already satisfied: typing-extensions>=4.10.0 in c:\users\张宇\appdata\roaming\python\python312\site-packages (from torch==2.8.0->torchaudio) (4.15.0) Requirement already satisfied: sympy>=1.13.3 in c:\users\张宇\appdata\roaming\python\python312\site-packages (from torch==2.8.0->torchaudio) (1.14.0) Requirement already satisfied: networkx in c:\users\张宇\appdata\roaming\python\python312\site-packages (from torch==2.8.0->torchaudio) (3.5) Requirement already satisfied: jinja2 in f:\anaconda\envs\test\lib\site-packages (from torch==2.8.0->torchaudio) (3.1.6) Requirement already satisfied: fsspec in f:\anaconda\envs\test\lib\site-packages (from torch==2.8.0->torchaudio) (2025.9.0) Requirement already satisfied: setuptools in f:\anaconda\envs\test\lib\site-packages (from torch==2.8.0->torchaudio) (78.1.1) Requirement already satisfied: mpmath<1.4,>=1.1.0 in f:\anaconda\envs\test\lib\site-packages (from sympy>=1.13.3->torch==2.8.0->torchaudio) (1.3.0) Requirement already satisfied: MarkupSafe>=2.0 in f:\anaconda\envs\test\lib\site-packages (from jinja2->torch==2.8.0->torchaudio) (3.0.2) Installing collected packages: torchaudio Successfully installed torchaudio-2.8.0 (test) C:\Users\张宇>python Python 3.12.11 | packaged by Anaconda, Inc. | (main, Jun 5 2025, 12:58:53) [MSC v.1929 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license" for more information. >>> import torch >>> print (torch._version_) Traceback (most recent call last): File "<stdin>", line 1, in <module> File "C:\Users\张宇\AppData\Roaming\Python\Python312\site-packages\torch\__init__.py", line 2745, in __getattr__ raise AttributeError(f"module '{__name__}' has no attribute '{name}'") AttributeError: module 'torch' has no attribute '_version_' >>> print (torch.__version__) 2.8.0+cpu >>>
09-30
<think>我们正在解决两个问题： 1. 使用`pip install torchvision`时提示找不到匹配版本的问题。 2. 使用`print(torch._version_)`报错`AttributeError: module 'torch' has no attribute '_version_'`的原因。 ...
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('PyTorch:', torch.__version__); print('CUDA可用:', 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 'torch._C._distributed_c10d.BackendType' has no attribute 'XCCL' (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 'C:\Users\wangs\anaconda3\envs\Resnet\Lib\site-packages\torch\~ib'. 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 'nvcc' 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" \ '"pytorch"' 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*" \ '"libopenvino*"' 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" \ '"cuda-cccl*"' 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" \ '"pytorch"' 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*" \ '"libopenvino*"' 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" \ '"cuda-cccl*"' 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
第二个错误`AttributeError`则表明在分布式通信后端（BackendType）中找不到'XCCL'属性，这通常与PyTorch的分布式模块有关，可能是由于安装的PyTorch版本不完整或与CUDA版本不匹配导致的。 ### 解决方案 #### ✅ ...
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在用命令行安装tensorflow时遇到如下图所示的报错： 三个解决办法： 1、检查安装命令是否有误 如图所示我将 pip install tensorflow==1.4 改为了： pip install tensorflow==1.4.0 更正为了正确的版本号之后问题解决 2、使用强制安装命令 pip install --ignore-installed tensorflow==1.4.0...
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twisted 18.7.0 requires PyHamcrest>=1.9.0, which is not installed. tensorboard 2.11.2 has requirement setuptools>=41.0.0, but you'll have setuptools 40.2.0 which is incompatible.
05-15
<think>嗯，用户遇到了Twisted和TensorBoard的依赖冲突问题，具体来说，Twisted 18.7.0需要PyHamcrest>=1.9.0，而TensorBoard 2.11.2需要setuptools>=41.0.0。我需要帮他解决这两个依赖的安装问题。首先，我应该考虑...
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