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Support losses with learned parameters #394
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Summary: This adds support for stateful losses with learned parameters. Examples include the NormFace / SphereFace / CosFace / ArcFace family of losses, or noise-contrastive estimation losses that learn partition parameters. Loss parameters are added to the optimizer, and saved to checkpoints. Losses with parameters are wrapped in a separate DistributedDataParallel instance to synchronize parameter initialization, and gradients, across nodes. Differential Revision: D19717056 fbshipit-source-id: bc4eec5e4d3af6072943b963ad4f8d904e7c936c
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This pull request was exported from Phabricator. Differential Revision: D19717056 |
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This pull request has been merged in 80b7456. |
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Summary:
This adds support for stateful losses with learned parameters. Examples include the NormFace / SphereFace / CosFace / ArcFace family of losses, or noise-contrastive estimation losses that learn partition parameters.
Loss parameters are added to the optimizer, and saved to checkpoints. Losses with parameters are wrapped in a separate DistributedDataParallel instance to synchronize parameter initialization, and gradients, across nodes.
Differential Revision: D19717056