Comments (7)
No, I'm hesitant to make changes that big until I have a better system for versioning Docker tags. a) I don't want to break things for people using these as base images, and b) I don't want things to become too unmanageable for myself to keep track of.
I'll probably reevaluate the situation again after Ubuntu 20.04 drops, because I do want to be able to update things more easily moving forward. In the meantime, feel free to just download the Dockerfile you like and tweak it---it should be as easy as just changing the version numbers (I use a bunch of 18.04-based images myself).
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As of a4295e0, PyTorch 1.4.0 is now provided in no-cuda
, cuda-10.1
, and cuda-9.2
. The images are still building on Docker Hub so it will probably be an hour or two until they are available to download.
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The new images are now live.
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Thank you very much. Would it also be possible to switch to the
FROM nvidia/cuda:10.2-base-ubuntu18.04
base image?
Furthermore, could we upgrade python 3.6 to 3.7? 3.8 is not yet supported by Pytorch.
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All right!
from docker-pytorch.
@Zethson I've overhauled the repo and added a few new images for PyTorch 1.5.0 which are based on Ubuntu 18.04. You might be interested in anibali/pytorch:1.5.0-cuda10.2-ubuntu18.04
, which also uses Python 3.8. I plan on creating Ubuntu 20.04 variants too as soon as NVIDIA releases appropriate base images.
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Thank you very much!
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Related Issues (20)
- this is the issue which it's showing while running the docker file HOT 2
- Cuda not found after pulling docker image at docker pull anibali/pytorch:1.4.0-cuda10.1 HOT 2
- can we have a docker image with torch 1.4+ cuda 10.2 and ubuntu 16.04 HOT 1
- Any ideas regarding reducing Image size? HOT 1
- pytorch 1.3 with cuda 10 on ubuntu 18.04 image HOT 1
- could not install software HOT 5
- Is CUDA being downloaded twice? HOT 4
- python3: can't open file 'script.py': [Errno 2] No such file or directory HOT 4
- CUDA Version Problem HOT 1
- Disable user prompt when building dockerfile HOT 1
- install HOT 1
- docker image failed to build HOT 2
- why do we use miniconda with pytorch cuda image? HOT 2
- Images to work with for Google Cloud SDK HOT 1
- About the permissions of docekr images HOT 1
- Key errors when deriving from 2.0 images & installing packages HOT 2
- How to enter the container with su mode HOT 1
- Size to big: use multi stage docker files HOT 4
- ERROR: failed to solve -> 1.7.0-cuda11.0-ubuntu20.04 HOT 1
- Support arm64 platform image HOT 1
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