pytorch
e856a452 - [Model Averaging] Refactor averagers to accept parameters instead of a module (#62105)

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3 years ago
[Model Averaging] Refactor averagers to accept parameters instead of a module (#62105) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/62105 This is for the preparation of wrapping the averager as an optimizer, which can only accept parameters rather than a module. Proposal: https://github.com/pytorch/pytorch/issues/59699 ghstack-source-id: 134213572 Test Plan: buck test mode/dev-nosan caffe2/test/distributed:distributed_nccl_fork -- test_periodic_model_averager buck test mode/dev-nosan caffe2/test/distributed:distributed_nccl_fork -- test_average_parameters Reviewed By: rohan-varma Differential Revision: D29883693 fbshipit-source-id: 474ba924a0b05068b12f163fb74582bccf314964
Author
Yi Wang
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