plasma-umass / scalene

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Is there a way to not use GPU monitoring and pynvml?

Wizard1209 opened this issue · comments

Describe the bug
Hi, I'm trying to optimize memory usage of our framework and keep getting pynvml in report using around 100M of memory, is there a way to exclude this module as I'm only optimizing CPU and memory with corresponding arguments?
By the way, I wasn't able to exclude it with --profile-exclude.

To Reproduce
It's not easy to provide an example I'm working with, but here is the command
scalene --cpu --memory --allocation-sampling-window 2097152 --profile-all /root/.pyenv/versions/3.12.2/envs/dipdup/bin/dipdup -e .env -c dipdup.yaml -c configs/dipdup.sqlite.yaml run

Expected behavior
It would be nice not to load GPU modules and monitoring code when only CPU and memory profilers are enabled.

Screenshots
image

Desktop (please complete the following information):

  • OS: WSL2
  • Python 3.12.2, Scalene version 1.5.42.2 (2024.06.18)

Please install the latest version from the repository (python3 -m pip install git+https://github.com/plasma-umass/scalene); in theory, it should solve this problem.