let `conda install` use a manually pre-downloaded package
I've got a PC with a slow internet connection. When trying to install an about 500MB package (conda install -c pytorch pytorch), I get a download timeout.
I tried downloading this file manually elsewhere and then placing it in my home directory and installing with conda install --offline ~/pytorch-1.0.0-py3.7_cuda9.0.176_cudnn7.4.1_1.tar.bz2 (like here). This works by itself, however, when I try to install further packages depending on it, conda decides to download it:
The following packages will be UPDATED:
pytorch: 1.0.0-py3.7_cuda9.0.176_cudnn7.4.1_1 <unknown> --> 1.0.0-py3.7_cuda9.0.176_cudnn7.4.1_1 pytorch
Proceed ([y]/n)? y
Downloading and Extracting Packages
pytorch-1.0.0 | 498.7 MB | ###########5 | 8%
CondaHTTPError: HTTP 000 CONNECTION FAILED for url <https://conda.anaconda.org/pytorch/linux-64/pytorch-1.0.0-py3.7_cuda9.0.176_cudnn7.4.1_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.
Note the ... <unknown> --> ... pytorch. Apparently, when installed with --offline, the package source is unknown and that leads to re-download. I also naively tried placing the file into ~/miniconda3/pkgs, no success.
Is there a way to increase the download timeout limit for conda, or let it recognize the pre-downloaded .tar.bz2 package file?
I understand that it has little to do with pytorch, but I just leave real names as they are.
conda
asked yesterday
Xpector
85118
add a comment |
I've got a PC with a slow internet connection. When trying to install an about 500MB package (conda install -c pytorch pytorch), I get a download timeout.
I tried downloading this file manually elsewhere and then placing it in my home directory and installing with conda install --offline ~/pytorch-1.0.0-py3.7_cuda9.0.176_cudnn7.4.1_1.tar.bz2 (like here). This works by itself, however, when I try to install further packages depending on it, conda decides to download it:
The following packages will be UPDATED:
pytorch: 1.0.0-py3.7_cuda9.0.176_cudnn7.4.1_1 <unknown> --> 1.0.0-py3.7_cuda9.0.176_cudnn7.4.1_1 pytorch
Proceed ([y]/n)? y
Downloading and Extracting Packages
pytorch-1.0.0 | 498.7 MB | ###########5 | 8%
CondaHTTPError: HTTP 000 CONNECTION FAILED for url <https://conda.anaconda.org/pytorch/linux-64/pytorch-1.0.0-py3.7_cuda9.0.176_cudnn7.4.1_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.
Note the ... <unknown> --> ... pytorch. Apparently, when installed with --offline, the package source is unknown and that leads to re-download. I also naively tried placing the file into ~/miniconda3/pkgs, no success.
Is there a way to increase the download timeout limit for conda, or let it recognize the pre-downloaded .tar.bz2 package file?
I understand that it has little to do with pytorch, but I just leave real names as they are.
conda
asked yesterday
Xpector
85118
add a comment |
I've got a PC with a slow internet connection. When trying to install an about 500MB package (conda install -c pytorch pytorch), I get a download timeout.
I tried downloading this file manually elsewhere and then placing it in my home directory and installing with conda install --offline ~/pytorch-1.0.0-py3.7_cuda9.0.176_cudnn7.4.1_1.tar.bz2 (like here). This works by itself, however, when I try to install further packages depending on it, conda decides to download it:
The following packages will be UPDATED:
pytorch: 1.0.0-py3.7_cuda9.0.176_cudnn7.4.1_1 <unknown> --> 1.0.0-py3.7_cuda9.0.176_cudnn7.4.1_1 pytorch
Proceed ([y]/n)? y
Downloading and Extracting Packages
pytorch-1.0.0 | 498.7 MB | ###########5 | 8%
CondaHTTPError: HTTP 000 CONNECTION FAILED for url <https://conda.anaconda.org/pytorch/linux-64/pytorch-1.0.0-py3.7_cuda9.0.176_cudnn7.4.1_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.
Note the ... <unknown> --> ... pytorch. Apparently, when installed with --offline, the package source is unknown and that leads to re-download. I also naively tried placing the file into ~/miniconda3/pkgs, no success.
Is there a way to increase the download timeout limit for conda, or let it recognize the pre-downloaded .tar.bz2 package file?
I understand that it has little to do with pytorch, but I just leave real names as they are.
conda
asked yesterday
Xpector
85118
I've got a PC with a slow internet connection. When trying to install an about 500MB package (conda install -c pytorch pytorch), I get a download timeout.
I tried downloading this file manually elsewhere and then placing it in my home directory and installing with conda install --offline ~/pytorch-1.0.0-py3.7_cuda9.0.176_cudnn7.4.1_1.tar.bz2 (like here). This works by itself, however, when I try to install further packages depending on it, conda decides to download it:
The following packages will be UPDATED:
pytorch: 1.0.0-py3.7_cuda9.0.176_cudnn7.4.1_1 <unknown> --> 1.0.0-py3.7_cuda9.0.176_cudnn7.4.1_1 pytorch
Proceed ([y]/n)? y
Downloading and Extracting Packages
pytorch-1.0.0 | 498.7 MB | ###########5 | 8%
CondaHTTPError: HTTP 000 CONNECTION FAILED for url <https://conda.anaconda.org/pytorch/linux-64/pytorch-1.0.0-py3.7_cuda9.0.176_cudnn7.4.1_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.
Note the ... <unknown> --> ... pytorch. Apparently, when installed with --offline, the package source is unknown and that leads to re-download. I also naively tried placing the file into ~/miniconda3/pkgs, no success.
Is there a way to increase the download timeout limit for conda, or let it recognize the pre-downloaded .tar.bz2 package file?
I understand that it has little to do with pytorch, but I just leave real names as they are.
conda
conda
asked yesterday
Xpector
85118
asked yesterday
Xpector
85118
asked yesterday
Xpector
85118
asked yesterday
Xpector
85118
asked yesterday
Xpector
85118
85118
add a comment |
add a comment |
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