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This repository has been archived by the owner on Mar 19, 2024. It is now read-only.
Summary:
Propose an API to load the saved features in fairinternal/ssl_scaling#159.
The goal is to offer several ways to load extracted features:
1. merge them all in memory (all features of the dataset)
2. stream them chunk by chunk (limiting the amount of features residing in memory)
3. sample them without having to load them all (reservoir sub-sampling of features)
The (1) is the legacy option, while the (2) and (3) will allow us to compute centroids on a sub-sample of a huge dataset and then assign each sample of the huge dataset without having to load it at once.
This is therefore scaling-related work.
A future PR with the updated ClusterFit algorithm will come soon.
Pull Request resolved: fairinternal/ssl_scaling#160
Reviewed By: prigoyal
Differential Revision: D29457290
Pulled By: QuentinDuval
fbshipit-source-id: e31604ca4fdb17c7344d1181f8938f40b1aa305b
Is it possible to use VISSL for image retrieval? Please add an example to test a pretrained model
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