gmum / gmum/points2nerf

What is the hardware configuration best for this project?

Open
#7 2 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Python
Stars
76
Forks
10
PR merge metrics
No merged PRs in 30d

Description

Hi, I use RTX 3080 to train this project. It takes approximately 480 seconds to accomplish 1 epoch. Is this rate normal? what is a good gpu palette here? I noticed in the 'Limitation' of the paper that a chunk of time is required.

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The issue mentions RTX 3080 training speed, one epoch taking about 480 seconds, and the paper's Limitation section, but names no files, tests, or entry points. Read the training instructions and the cited paper section first; the work would be complete when the project documents expected timing and suitable GPU configurations.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning, performance
Issue type
Documentation
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.