Supported pytorch added for CUDA 11.3 and CUDA 11.7, dynamically. (Windows only) #17163
+47
−2
Conversation
This file contains hidden or 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
Also called the early_access_blackwell_wheels under def prepare_environment()
kavyamali
requested review from
AUTOMATIC1111,
catboxanon and
w-e-w
as code owners
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
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Outdated suggestions cannot be applied.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.
Also called the early_access_blackwell_wheels under def prepare_environment():
Description
This change adds dynamic detection using nvidia-smi to determine Compute Capability for Nvidia GPUs with CC<7 on Windows. It then installs supported, latest Pytorch for the same. In all other cases, it falls back to default logic or that mentioned in early_access_blackwell_wheels. This has been tested on a GTX 970. No issues.
I also apologize for the confusion in my previous PR, as the changes were clearly bogus there.
Checklist: