The official torchvision docker image.
Maintained by: openEuler CloudNative SIG.
Where to get help: openEuler CloudNative SIG, openEuler.
The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision.
The tag of each torchvision docker image is consist of the version of torchvision and the version of basic image. The details are as follows
| Tags | Currently | Architectures |
|---|---|---|
| 0.29.0-oe2403sp4 | torchvision 0.29.0 on openEuler 24.03-LTS-SP4 | amd64, arm64 |
| 0.27.1-oe2403sp4 | torchvision 0.27.1 on openEuler 24.03-LTS-SP4 | amd64, arm64 |
| 0.27.1-oe2403sp3 | torchvision 0.27.1 on openEuler 24.03-LTS-SP3 | amd64, arm64 |
| 0.27.0-oe2403sp3 | torchvision 0.27.0 on openEuler 24.03-lts-sp3 | amd64, arm64 |
Pull the openeuler/torchvision image from docker
docker pull openeuler/torchvision:{Tag}
Start a container and run Python
docker run -it openeuler/torchvision:{Tag} python3
Use torchvision in Python
import torch
import torchvision
print(torch.__version__)
print(torchvision.__version__)
If you have any questions or want to use some special features, please submit an issue or a pull request on openeuler-docker-images.
Content type
Image
Digest
sha256:0c7f4f08c…
Size
340.9 MB
Last updated
3 days ago
docker pull openeuler/torchvisionPulls:
7
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