在安装pytorch的时候因为源的问题折腾了非常久,在这记录以下。
问题
报错:
代码语言:javascript复制(video_env) D:professioncodemodelSAAT-master>conda install pytorch-cpu==1.1.0 torchvision-cpu==0.3.0 cpuonly -c pytorch
Collecting package metadata (current_repodata.json): failed
# >>>>>>>>>>>>>>>>>>>>>> ERROR REPORT <<<<<<<<<<<<<<<<<<<<<<
Traceback (most recent call last):
File "D:softwareanaconda3libsite-packagescondacoresubdir_data.py", line 378, in _load
raise UnavailableInvalidChannel(self.url_w_repodata_fn, 404)
conda.exceptions.UnavailableInvalidChannel: The channel is not accessible or is invalid.
channel name: anaconda/pkgs/free
channel url: https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
error code: 404
You will need to adjust your conda configuration to proceed.
Use `conda config --show channels` to view your configuration's current state,
and use `conda config --show-sources` to view config file locations.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "D:softwareanaconda3libsite-packagescondacoresubdir_data.py", line 371, in _load
raw_repodata_str = fetch_repodata_remote_request(
File "D:softwareanaconda3libsite-packagescondacoresubdir_data.py", line 808, in fetch_repodata_remote_request
raise Response304ContentUnchanged()
conda.core.subdir_data.Response304ContentUnchanged
During handling of the above exception, another exception occurred:
我大概就截图这么多吧,大概就这种类型的错误。
网上的办法
设置源:
代码语言:javascript复制conda config --remove channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --add channels https://repo.continuum.io/pkgs/free/
conda config --add channels https://repo.continuum.io/pkgs/main/
conda config --set show_channel_urls yes
最终解决办法
- 运行以下命令
conda clean -i
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/
- 执行安装命令
conda install pytorch-cpu==1.1.0 torchvision-cpu==0.3.0 cpuonly
注意:在执行的安装pytorch的命令的最后,一定要将 -c pytorch
删除掉
大概就这样。