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Hyperparam exploration in swav training: blur, temperature, #prototypes, #crops #60
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This pull request was exported from Phabricator. Differential Revision: D22842068 |
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This pull request was exported from Phabricator. Differential Revision: D22842068 |
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This pull request was exported from Phabricator. Differential Revision: D22842068 |
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Summary: - no change from the baseline of regnet16Gf. Verified using the total number of params - found a bug in the original version where we saved stem in self.stem, and self.trunk_output which caused a large memory consumption in backward in autograd. testing: running the baseline training and will verify the loss value. Pull Request resolved: fairinternal/ssl_scaling#60 Reviewed By: prigoyal Differential Revision: D26914657 Pulled By: min-xu-ai fbshipit-source-id: 8d67cf897e25d81788cd4ff58dfec015a88e6bb6
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Summary: adding configs for bunch of explorations
Reviewed By: blefaudeux
Differential Revision: D22842068