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how to deal with large datasets in custom_dataset.py?

Open GitHubzhangweizhen opened this issue 3 years ago • 5 comments

GitHubzhangweizhen avatar Sep 01 '21 03:09 GitHubzhangweizhen

Hi,

can you give more details about the issue that you are having?

danielegrattarola avatar Sep 01 '21 07:09 danielegrattarola

yes, about graphs binary classification problem, and i have a lots of Adjacency matrix and node features(files is 50G),how can i use generator load into memory?

zhangweizhenGitHub avatar Sep 15 '21 07:09 zhangweizhenGitHub

Hey @zhangweizhenGitHub I was facing a similar issue some days back in my domain I have around 1.5 million images and using loaders is crashing the memory. Did you find any solution?

snehilsanyal avatar Oct 05 '21 07:10 snehilsanyal

Any solution on this? @danielegrattarola Thank you

imayachita avatar Oct 27 '21 20:10 imayachita

PR #292 should show how to load data from disk, but I have not had the time to review it properly (also, it's for image data).

I'll get around to it eventually, I'm really swamped with PhD duties lately :D

danielegrattarola avatar Oct 28 '21 14:10 danielegrattarola