meta-pytorch / meta-pytorch/data

pointer to a similar library / feedback

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Description

📚 The doc issue

Hi!
I'm the author of a python library which is called SeqTools. It predates torchdata and provides essentially the same functionality as MapDataPipes.
I just wanted to let you know about it, maybe you can pick some code or ideas out of it. For instance:

  • Saving the stack to point a runtime error back to when the transformation node was created
  • There is also a multiprocessing/multithreading prefetch function which kinda resembles a Dataloader (actually you can check this example which re-implements Dataloader for map-style datasets).

To be honest I have eventually steered away from using it in my deep learning pipelines. It is good for prototyping and pre-computing data. But in my training scripts I just refactor the transforms into a single big function. That is actually more convenient because all necessary variables (data, parameters, augmentation variables) are available in the same scope. I think this is an issue you might face as well in the future.

Suggest a potential alternative/fix

No response

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Research direction

Start by reviewing the linked SeqTools library and the project’s MapDataPipes context, especially the cited stack-saving and prefetch ideas. The issue does not name a file, test, entry point, implementation target, or definition of done, so no concrete completion check is provided.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data, machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
15/100

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