pytorch/ignite

[FR] Engine with data echoing/minibatch persistency/BA

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#672 opened on Nov 23, 2019

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 (3 comments) (0 reactions) (0 assignees)Python (602 forks)batch import
enhancementhelp wanted

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Description

Idea is to propose 2 things:

  • a supervised trainer with minibatch persistency [3] (configurable K = same batch reusage)
  • a handler that can be used inside user's update_fn of the trainer and implementing
    • minibatch persistency [3] or
    • Batch Augmentation [1]

Refs: [1] https://arxiv.org/abs/1901.09335 [2] https://arxiv.org/abs/1907.05550 [3] https://arxiv.org/abs/1806.07353

cc @ericspod

Contributor guide

Research direction
Study the referenced papers and existing trainer infrastructure in the ignite library to design a supervised trainer with minibatch persistency and a handler for batch augmentation.
Tech stack
pythonpytorch
Domain
backend
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Needs investigation
Prerequisites
PythonPyTorch
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
50