pytorch/ignite

Improve distributed tests for Confusion Matrix (CM and MLCM)

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#1,657 创建于 2021年2月20日

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HacktoberfestPyDataGlobalenhancementhelp wantedmodule: metrics

描述

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

贡献者指南

技术栈
pythonpytorch
领域
testingmachine learning
议题类型
test
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3
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前置要求
PyTorch basicsIgnite test structuredistributed testing knowledgeconfusion matrix metrics
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
60
研究方向
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.