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conda not installing the correct nightly version #1902
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Closing in favor of pytorch/pytorch#33103 |
Thanks for the report! I'm looking into fixing this |
This will hopefully be fixed with #1917 |
Should be fixed now, let us know if you still have issues |
I'm having this issue again, when trying to create a Dockerfile with pytorch-nightly. In my case I'm trying to install the GPU version of pytorch but I am getting 1.3.1 and no GPUs detected :( Is torchvision actually required for pytorch to work? I'm not using it for anything as far as I know. If I omit torchvision I get pytorch 1.5.0, which seems weird since it's behind the stable version? And I still don't have cuda available. edit: It appears that this was fixed today with an update to the 1.7.0 rc. |
OS: Ubuntu 18.04
Python Version: 3.7
Using the installation instructions found here, conda is installing the wrong version of torchvision despite specifying cpuonly.
Output of the above command is -
If you see above cudatoolkit is being installed, along with the cuda versions of pytorch and torchvision.
How should I resolve this?
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