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Implement bucket-based attention pooling for IdScoreList features#13004

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ffjiang wants to merge 1 commit intopytorch:masterfrom
ffjiang:export-D10413186
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Implement bucket-based attention pooling for IdScoreList features#13004
ffjiang wants to merge 1 commit intopytorch:masterfrom
ffjiang:export-D10413186

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@ffjiang ffjiang commented Oct 23, 2018

Summary:
Implement BucketWeighted model layer, which learns a weight for each possible score in an IdScoreList. Here, we assume that the scores in the IdScoreList have already been converted into the appropriate 'buckets'. If this is not done, then essentially each score represents its own bucket.

We assume that the scores/buckets are integers, and if max_score is not set, we assume that the maximum cardinality of the score is less than or equal to the cardinality of the ids.

Differential Revision: D10413186

…torch#13004)

Summary:
Pull Request resolved: pytorch#13004

Implement BucketWeighted model layer, which learns a weight for each possible score in an IdScoreList. Here, we assume that the scores in the IdScoreList have already been converted into the appropriate 'buckets'. If this is not done, then essentially each score represents its own bucket.

We assume that the scores/buckets are integers, and if max_score is not set, we assume that the maximum cardinality of the score is less than or equal to the cardinality of the ids.

Reviewed By: chonglinsun

Differential Revision: D10413186

fbshipit-source-id: bc2451030a336f89ee8b9247a131b74f00958ca6
@ezyang ezyang added the merged label Jun 25, 2019
laurentdupin pushed a commit to laurentdupin/pytorch that referenced this pull request Apr 24, 2026
…torch#13004)

Summary:
Pull Request resolved: pytorch#13004

Implement BucketWeighted model layer, which learns a weight for each possible score in an IdScoreList. Here, we assume that the scores in the IdScoreList have already been converted into the appropriate 'buckets'. If this is not done, then essentially each score represents its own bucket.

We assume that the scores/buckets are integers, and if max_score is not set, we assume that the maximum cardinality of the score is less than or equal to the cardinality of the ids.

Reviewed By: chonglinsun

Differential Revision: D10413186

fbshipit-source-id: 743e643a1b36adf124502a8b6b29976158cdb130
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2 participants