pytorch/ignite

Improve distributed tests for Confusion Matrix (CM and MLCM)

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#1,657 opened on Feb 20, 2021

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HacktoberfestPyDataGlobalenhancementhelp wantedmodule: metrics

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Description

Currently, the testing data is generated without taking into account distributed context: https://github.com/pytorch/ignite/blob/e17acc740d38909ddbbed6648423750abe593e58/tests/ignite/metrics/test_confusion_matrix.py#L559-L565

same for MultiLabelConfusionMatrix tests.

We would like to rewrite the tests in a similar way as here : https://github.com/pytorch/ignite/blob/e17acc740d38909ddbbed6648423750abe593e58/tests/ignite/metrics/test_recall.py#L778-L785

See https://github.com/pytorch/ignite/issues#issuecomment-782750122

cc @touqir14

Contributor guide

Research direction
The issue requires rewriting the test data generation for ConfusionMatrix and MultiLabelConfusionMatrix to properly simulate distributed context. The existing tests in tests/ignite/metrics/test confusion matrix.py (lines 559-565) need to be replaced with a pattern similar to tests/ignite/metrics/test recall.py (lines 778-785). The contributor should study the distributed test setup in the linked example and ensure the metrics compute correctly across multiple processes.
Tech stack
pythonpytorch
Domain
testingmachine learning
Issue type
Test
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.
1-3 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
PyTorch basicsIgnite test structuredistributed testing knowledgeconfusion matrix metrics
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60