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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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

Research direction
Examine the data loading pipeline in the imagenet example, then add a flag to generate random tensors instead of reading from disk. Ensure compatibility with distributed training.
Tech stack
pythonpytorch
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.
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.
Stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PythonPyTorchGit
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
70