Normalize dataset vectors in the CAGRA InnerProduct tests#2287
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This PR updates the CAGRA test to normalize the dataset and query vectors in the CAGRA test when the metric is InnerProduct. If we don't normalize them, large L2 norm dataset vectors tend to be included in the search result across all queries. This means that only a part of the graph nodes may be traversed in the search process, leading to test incompleteness. Authors: - tsuki (https://github.com/enp1s0) Approvers: - Tarang Jain (https://github.com/tarang-jain) - Tamas Bela Feher (https://github.com/tfeher) URL: NVIDIA#2287
loulankxh
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Oct 14, 2025
This PR updates the CAGRA test to normalize the dataset and query vectors in the CAGRA test when the metric is InnerProduct. If we don't normalize them, large L2 norm dataset vectors tend to be included in the search result across all queries. This means that only a part of the graph nodes may be traversed in the search process, leading to test incompleteness. Authors: - tsuki (https://github.com/enp1s0) Approvers: - Tarang Jain (https://github.com/tarang-jain) - Tamas Bela Feher (https://github.com/tfeher) URL: NVIDIA#2287
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This PR updates the CAGRA test to normalize the dataset and query vectors in the CAGRA test when the metric is InnerProduct. If we don't normalize them, large L2 norm dataset vectors tend to be included in the search result across all queries. This means that only a part of the graph nodes may be traversed in the search process, leading to test incompleteness.