pytorch

b185359f - Avoid clone for sparse tensors during accumulation of grads. (#33427)

Avoid clone for sparse tensors during accumulation of grads. (#33427) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/33427 This PR is an attempt to avoid clone for sparse tensors similar to how we avoid clone for dense tensors currently. As per my understanding even if the 'indices' and 'values' of a sparse tensor are non-continguous, operations like 'add' are still supported. As a result, the major change in this PR is to use create a shallow copy instead of clone() for sparse tensors. ghstack-source-id: 99838375 Test Plan: waitforbuildbot Differential Revision: D19926698 fbshipit-source-id: b5a3f36c2aa273e17f8b7a9f09c1ea00e7478109