pytorch/examples

MNIST test_loader not being used as intended (wrong)!

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#756 opened on Apr 19, 2020

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 (3 comments) (0 reactions) (0 assignees)Python (9,429 forks)batch import
good first issue

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Description

In the MNIST code, around line 57 (I think), the following code is wrong in my opinion for data, target in test_loader: It should be replaced by for idx,(data, target) in test_loader: The original code gives an error (int has no attribute .to(device)) as originally, data is actually assigned an integer (idx value) wrongly. I have verified this fix works. The code for training is correct but surprisingly there is a mistake in test code.

Contributor guide

Research direction
Inspect the test loop and replace the unpacking with 'for idx, (data, target) in enumerate(test loader):'.
Tech stack
python
Domain
machine learning
Issue type
Bug
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
1
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Under 1 hour
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
Python
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
90