Conda 安装Pytorch

末蓝、 2023-10-10 18:13 73阅读 0赞

### 1、conda 切换[虚拟环境][Link 1] ###

activate 虚拟环境名称

C:\Windows\System32>activate python310

温馨提示：查询虚拟环境列表

conda env list

C:\Windows\System32>conda env list
    # conda environments:
    #
    base                     D:\anaconda3
    python310                D:\anaconda3\envs\python310

### 2、conda 查看安装源 ###

conda config --show-sources

我本地安装源为:[清华大学开源软件镜像源][Link 2]

修改conda 默认安装源，请执行如下指令:

# 安装清华安装源
    conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
     
    # 移除conda 默认安装源
    conda config --remove channels defaults

### 3、conda 查看PyTorch版本 ###

conda search pytorch

(python310) C:\Windows\System32>conda search pytorch
    Loading channels: done
    # Name                       Version           Build  Channel
    pytorch                        1.0.1 cpu_py36h39a92a0_0  pkgs/main
    pytorch                        1.0.1 cpu_py37h39a92a0_0  pkgs/main
    pytorch                        1.3.1 cpu_py36h9f948e0_0  pkgs/main
    pytorch                        1.3.1 cpu_py37h9f948e0_0  pkgs/main
    pytorch                        1.4.0 cpu_py36ha775e86_0  pkgs/main
    pytorch                        1.4.0 cpu_py37ha775e86_0  pkgs/main
    pytorch                        1.4.0 cpu_py38ha775e86_0  pkgs/main
    pytorch                        1.5.0 cpu_py37h9f948e0_0  pkgs/main
    pytorch                        1.6.0 cpu_py37h538a6d7_0  pkgs/main
    pytorch                        1.6.0 cpu_py38h538a6d7_0  pkgs/main
    pytorch                       1.10.2 cpu_py310habb1308_0  pkgs/main
    pytorch                       1.10.2 cpu_py37h907fbb5_0  pkgs/main
    pytorch                       1.10.2 cpu_py38h907fbb5_0  pkgs/main
    pytorch                       1.10.2 cpu_py39h907fbb5_0  pkgs/main
    pytorch                       1.12.1 cpu_py310h5e1f01c_0  pkgs/main
    pytorch                       1.12.1 cpu_py310h5e1f01c_1  pkgs/main
    pytorch                       1.12.1 cpu_py37h5e1f01c_0  pkgs/main
    pytorch                       1.12.1 cpu_py37h5e1f01c_1  pkgs/main
    pytorch                       1.12.1 cpu_py38h5e1f01c_0  pkgs/main
    pytorch                       1.12.1 cpu_py38h5e1f01c_1  pkgs/main
    pytorch                       1.12.1 cpu_py39h5e1f01c_0  pkgs/main
    pytorch                       1.12.1 cpu_py39h5e1f01c_1  pkgs/main

### 4、安装PyTorch ###

根据自己的安装版本，在Pytorch官网寻找安装命令代码：  
（1）Pytorch官网：[PyTorch][]

![e58cd478322a4acb95ee9e7c63abb2b7.png][]

如图所示版本将相关指令复制：

conda install pytorch torchvision torchaudio cpuonly -c pytorch

（2）将复制的代码粘贴到命令行格式下，弹出提示，输入 y，即可完成安装，显示“done”。

(python310) C:\Windows\System32>conda install pytorch torchvision torchaudio cpuonly -c pytorch
    Retrieving notices: ...working... done
    Collecting package metadata (current_repodata.json): done
    Solving environment: done
    
    ## Package Plan ##
    
      environment location: D:\anaconda3\envs\python310
    
      added / updated specs:
        - cpuonly
        - pytorch
        - torchaudio
        - torchvision
    
    
    The following packages will be downloaded:
    
        package                    |            build
        ---------------------------|-----------------
        certifi-2023.5.7           |  py310haa95532_0         153 KB  defaults
        cpuonly-2.0                |                0           2 KB  pytorch
        pytorch-2.0.1              |     py3.10_cpu_0       145.5 MB  pytorch
        pytorch-mutex-1.0          |              cpu           3 KB  pytorch
        torchaudio-2.0.2           |        py310_cpu         5.4 MB  pytorch
        torchvision-0.15.2         |        py310_cpu         6.5 MB  pytorch
        ------------------------------------------------------------
                                               Total:       157.6 MB
    
    The following NEW packages will be INSTALLED:
    
      cpuonly            pytorch/noarch::cpuonly-2.0-0
      filelock           pkgs/main/win-64::filelock-3.9.0-py310haa95532_0
      jinja2             pkgs/main/win-64::jinja2-3.1.2-py310haa95532_0
      libuv              pkgs/main/win-64::libuv-1.44.2-h2bbff1b_0
      markupsafe         pkgs/main/win-64::markupsafe-2.1.1-py310h2bbff1b_0
      mpmath             pkgs/main/win-64::mpmath-1.2.1-py310haa95532_0
      networkx           pkgs/main/win-64::networkx-2.8.4-py310haa95532_1
      pytorch            pytorch/win-64::pytorch-2.0.1-py3.10_cpu_0
      pytorch-mutex      pytorch/noarch::pytorch-mutex-1.0-cpu
      sympy              pkgs/main/win-64::sympy-1.11.1-py310haa95532_0
      torchaudio         pytorch/win-64::torchaudio-2.0.2-py310_cpu
      torchvision        pytorch/win-64::torchvision-0.15.2-py310_cpu
      typing_extensions  pkgs/main/win-64::typing_extensions-4.5.0-py310haa95532_0
    
    The following packages will be UPDATED:
    
      certifi                         2022.12.7-py310haa95532_0 --> 2023.5.7-py310haa95532_0
    
    
    Proceed ([y]/n)? y
    
    
    Downloading and Extracting Packages
    
    Preparing transaction: done
    Verifying transaction: done
    Executing transaction: done

（3）pytorch 模块验证

1.进入python：python

2.测试pytorch：import [torch][]

(python310) C:\Windows\System32>python
    Python 3.10.10 | packaged by Anaconda, Inc. | (main, Mar 21 2023, 18:39:17) [MSC v.1916 64 bit (AMD64)] on win32
    Type "help", "copyright", "credits" or "license" for more information.
    >>> import torch
    >>>

[Link 1]: https://so.csdn.net/so/search?q=%E8%99%9A%E6%8B%9F%E7%8E%AF%E5%A2%83&spm=1001.2101.3001.7020
[Link 2]: https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
[PyTorch]: https://pytorch.org/
[e58cd478322a4acb95ee9e7c63abb2b7.png]: https://img-blog.csdnimg.cn/e58cd478322a4acb95ee9e7c63abb2b7.png
[torch]: https://so.csdn.net/so/search?q=torch&spm=1001.2101.3001.7020