博客
关于我
强烈建议你试试无所不能的chatGPT,快点击我
pytorch 报错No module named torch
阅读量:4145 次
发布时间:2019-05-25

本文共 4717 字,大约阅读时间需要 15 分钟。

一  问题 

No module named 'torch'

二  解决方法

 

 

(base) PS C:\Users\pc> conda install pytorch torchvision cudatoolkit=10.0 -c pyt

orch
Collecting package metadata (current_repodata.json): done
Solving environment: -
The environment is inconsistent, please check the package plan carefully
The following packages are causing the inconsistency:

  - defaults/win-64::anaconda==custom=py37_1

  - defaults/win-64::numba==0.46.0=py37hf9181ef_0
  - defaults/win-64::_anaconda_depends==2019.03=py37_0
done

## Package Plan ##

  environment location: C:\ProgramData\Anaconda3

  added / updated specs:

    - cudatoolkit=10.0
    - pytorch
    - torchvision

The following packages will be downloaded:

    package                    |            build

    ---------------------------|-----------------
    conda-4.8.3                |           py37_0         2.8 MB
    cudatoolkit-10.0.130       |                0       250.0 MB
    ninja-1.9.0                |   py37h74a9793_0         238 KB
    openssl-1.1.1g             |       he774522_0         4.8 MB
    pytorch-1.2.0              |py3.7_cuda100_cudnn7_1       479.3 MB  pytorch
    torchvision-0.4.0          |       py37_cu100         2.3 MB  pytorch
    ------------------------------------------------------------
                                           Total:       739.4 MB

The following NEW packages will be INSTALLED:

  cudatoolkit        pkgs/main/win-64::cudatoolkit-10.0.130-0

  ninja              pkgs/main/win-64::ninja-1.9.0-py37h74a9793_0
  pytorch            pytorch/win-64::pytorch-1.2.0-py3.7_cuda100_cudnn7_1
  tbb                pkgs/main/win-64::tbb-2020.0-h74a9793_0
  torchvision        pytorch/win-64::torchvision-0.4.0-py37_cu100

The following packages will be UPDATED:

  ca-certificates                              2019.10.16-0 --> 2020.1.1-0

  certifi                                  2019.9.11-py37_0 --> 2020.4.5.1-py37_
0
  conda                                       4.7.12-py37_0 --> 4.8.3-py37_0
  openssl                                 1.1.1d-he774522_3 --> 1.1.1g-he774522_
0

Proceed ([y]/n)?

 

Downloading and Extracting Packages

ninja-1.9.0          | 238 KB    | #################################### | 100%
cudatoolkit-10.0.130 | 250.0 MB  | #################################### | 100%
pytorch-1.2.0        | 479.3 MB  |                                      |   0%
torchvision-0.4.0    | 2.3 MB    | 4                                    |   1%
openssl-1.1.1g       | 4.8 MB    | #################################### | 100%
conda-4.8.3          | 2.8 MB    | #################################### | 100%

CondaHTTPError: HTTP 000 CONNECTION FAILED for url <https://conda.anaconda.org/p

ytorch/win-64/pytorch-1.2.0-py3.7_cuda100_cudnn7_1.tar.bz2>
Elapsed: -

An HTTP error occurred when trying to retrieve this URL.

HTTP errors are often intermittent, and a simple retry will get you on your way.

CondaHTTPError: HTTP 000 CONNECTION FAILED for url <https://conda.anaconda.org/p
ytorch/win-64/torchvision-0.4.0-py37_cu100.tar.bz2>
Elapsed: -

An HTTP error occurred when trying to retrieve this URL.

HTTP errors are often intermittent, and a simple retry will get you on your way.L

 

三  安装解决办法分别安装,删除了anacondarc. 下的defaults   设置了channels  后 ,分步安装如下

n(base) C:\Users\pc>conda install pytorch-cpu

Collecting package metadata (current_repodata.json): done
Solving environment: \
The environment is inconsistent, please check the package plan carefully
The following packages are causing the inconsistency:

  - defaults/win-64::anaconda==custom=py37_1

  - defaults/win-64::numba==0.46.0=py37hf9181ef_0
  - defaults/win-64::_anaconda_depends==2019.03=py37_0
done

## Package Plan ##

  environment location: C:\ProgramData\Anaconda3

  added / updated specs:

    - pytorch-cpu

The following packages will be downloaded:

    package                    |            build

    ---------------------------|-----------------
    pytorch-cpu-1.1.0          |      py3.7_cpu_1        79.2 MB  https://mirror
s.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch
    ------------------------------------------------------------
                                           Total:        79.2 MB

The following NEW packages will be INSTALLED:

  ninja              anaconda/pkgs/main/win-64::ninja-1.9.0-py37h74a9793_0

  pytorch-cpu        anaconda/cloud/pytorch/win-64::pytorch-cpu-1.1.0-py3.7_cpu_
1
  tbb                anaconda/pkgs/main/win-64::tbb-2020.0-h74a9793_0

Proceed ([y]/n)? y

Downloading and Extracting Packages
pytorch-cpu-1.1.0    | 79.2 MB   | #################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done

(base) C:\Users\pc>conda install torchvision-cpu

Collecting package metadata (current_repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: C:\ProgramData\Anaconda3

  added / updated specs:

    - torchvision-cpu

The following packages will be downloaded:

    package                    |            build

    ---------------------------|-----------------
    torchvision-cpu-0.3.0      |    py37_cuNone_1         1.7 MB  https://mirror
s.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch
    ------------------------------------------------------------
                                           Total:         1.7 MB

The following NEW packages will be INSTALLED:

  torchvision-cpu    anaconda/cloud/pytorch/win-64::torchvision-cpu-0.3.0-py37_c

uNone_1

Proceed ([y]/n)? y

Downloading and Extracting Packages
torchvision-cpu-0.3. | 1.7 MB    | #################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
 

四 参考如下URL安装好的

 

五  验证

 

转载地址:http://apfti.baihongyu.com/

你可能感兴趣的文章
android工程引用jar包
查看>>
Android时间UI控件-一大一小样式(仿小米时间widget)
查看>>
【学习笔记】装饰者模式
查看>>
Android 7.0 LowMemoryKiller 初识
查看>>
Python基础-For循环本质
查看>>
Python基础-高阶函数-Higher-order function
查看>>
Python基础-枚举-Enum
查看>>
Python基础-使用type()和元类metaclass
查看>>
Python基础-报错处理try和raise机制
查看>>
Python基础-调试print()-assert-logging-pdb-ide
查看>>
Python基础-单元测试-unittest.TestCase(setUp和tearDown)
查看>>
Python基础-文档测试(自动执行注释中的代码)
查看>>
Python基础-IO编程-读文件read-写文件write
查看>>
Python基础-内存读数据StringIO和BytesIO
查看>>
Python基础-操作文件和目录
查看>>
Python基础-序列化
查看>>
Eclipse 格式化对齐宽度太小
查看>>
Android8.0的缓存大小和缓存清理接口
查看>>
Python基础-项目-day2 编写Web App骨架
查看>>
SP91的待机功耗大到42mA(com.android.deskclock.ON_QUARTER_HOUR)
查看>>