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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/50048 To reflect the many changes introduced recently. In my mind, CUDAFuture should be considered a "private" subclass, which in practice should always be returned as a downcast pointer to an ivalue::Future. Hence, we should document the CUDA behavior in the superclass, even if it's CUDA-agnostic, since that's the interface the users will see also for CUDA-enabled futures. ghstack-source-id: 128640983 Test Plan: Built locally and looked at them. Reviewed By: mrshenli Differential Revision: D25757474 fbshipit-source-id: c6f66ba88fa6c4fc33601f31136422d6cf147203 |
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