IntelLabs / IntelLabs/lvlm-interpret

construct_relevancy_map() computation quite slow

Open
#13 0 comments 0 reactions 0 assignees View on GitHub
Dominant language
Jupyter Notebook
Stars
0
Forks
0
PR merge metrics
No merged PRs in 30d

Description

Hi thanks for the great work and the demo.ipynb!

Unfortunately while the notebook shows about 1.38s/steps for the relevancy map computation, I am getting quite slower (170s/step) times on google colab. I haven't changed any of the code.

The objects are all on cpu as loading all the attention maps on gpu would lead to OOM.

Do you have any guesses what's happening and why there's such a big difference? Any suggestions would be extremely helpful!

Thanks!

Contributor guide

No contributing guide indexed for this repository

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.