FROM nvcr.io/nvidia/pytorch:20.10-py3 #1553
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
glenn-jocher
changed the title
burglarhobbit
pushed a commit
to burglarhobbit/yolov5
that referenced
this pull request
Jan 1, 2021
* FROM pytorch/pytorch:latest * FROM nvcr.io/nvidia/pytorch:20.10-py3
KMint1819
pushed a commit
to KMint1819/yolov5
that referenced
this pull request
May 12, 2021
* FROM pytorch/pytorch:latest * FROM nvcr.io/nvidia/pytorch:20.10-py3
BjarneKuehl
pushed a commit
to fhkiel-mlaip/yolov5
that referenced
this pull request
Aug 26, 2022
* FROM pytorch/pytorch:latest * FROM nvcr.io/nvidia/pytorch:20.10-py3
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Fixes bug #1552.
🛠️ PR Summary
Made with ❤️ by Ultralytics Actions
🌟 Summary
Update YOLOv5 Docker base image and improve GPU support in containers.
📊 Key Changes
nvcr.io/nvidia/pytorch:20.11-py3tonvcr.io/nvidia/pytorch:20.10-py3.--gpus allflag for better GPU utilization.🎯 Purpose & Impact
--gpus allflag, users can now directly allocate all available GPUs to the YOLOv5 Docker container, improving training and inference performance.