dmlc/gluon-cv

Resuming from checkpoints for classification scripts

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#331 opened on Sep 24, 2018

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 (3 comments) (2 reactions) (1 assignee)Python (5,610 stars) (1,224 forks)batch import
enhancementgood first issue

Description

Hi, thanks for the great code!

I wonder do you have plans to support resuming from checkpoints for classification? As we all know, in terms of training ImageNet, the training process is really long and it can be interrupted somehow, but I haven't notice any code related to "resume" in scripts/classification/train_imagenet.py.

Maybe @hetong007 ? Thanks in advance.

Contributor guide

Tech stack
python
Domain
machine learning
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
blocked
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
clear
Prerequisites
MXNet basicsGluonCV training code
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
30
Research direction
Review the file scripts/classification/train imagenet.py to understand the current training loop. Check for any existing checkpoint saving logic and implement a resume command line argument to load a saved checkpoint and continue training. The implementation should restore the model weights and optimizer state. See similar features in other MXNet projects for reference.