pytorch/examples

add support for mock data input to imagenet example

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#194 opened on Aug 7, 2017

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 (1 comment) (0 reactions) (0 assignees)Python (21,634 stars) (9,429 forks)batch import
distributedgood first issuetriaged

Description

in order to test the performance conveniently, especially distributed training, it would be great to add an option to allow mock data input, which means directly random some data in program as input.

Contributor guide

Tech stack
python
Domain
machine learningtestingperformance
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.
half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
clear
Prerequisites
Basic PythonBasic PyTorchUnderstand imagenet example
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
70
Research direction
Examine the imagenet example code, likely in `main.py`, to locate the data loading section. Add an option (e.g., ` mock data`) that generates random tensors as input instead of loading from disk. Ensure the mock data is consistent across distributed processes by using the same random seed. Review the single comment on the issue (if any) for additional context or requirements. Test the changes with a dummy run to confirm functionality.