Lucas Hosseini c618dc13d2 Use type-erased union for Buffer. (#322) ... Summary: Pull Request resolved: https://github.com/pytorch/tensorpipe/pull/322 Pull Request resolved: https://github.com/pytorch/pytorch/pull/54145 In order to merge the channel hierarchies, we need a generic `Buffer` type, that can wrap either a `CpuBuffer` or a `CudaBuffer`. The constraints are that, since this type is used by the channels, it cannot explicitly refer to `CudaBuffer`. We propose here a type-erasure based solution, with small-buffer optimization to avoid heap-allocating the wrapped concrete buffer. ghstack-source-id: 124131499 Test Plan: CI Reviewed By: lw Differential Revision: D27001339 fbshipit-source-id: 26d7dc19d69d7e3336df6fd4ff6ec118dc17c5b6		2021-03-18 02:23:17 -07:00
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CMakeLists.txt	fix tensorpipe_agent linked even when USE_TENSORPIPE is turned off (#53281)	2021-03-04 13:29:27 -08:00
e2e_test_base.cpp	Enroll TensorPipe agent in C++-only E2E test (#42680)	2020-08-13 07:07:30 -07:00
e2e_test_base.h	[RPC] Refactor rref_context to not use utils::Future (#51697)	2021-02-19 00:59:38 -08:00
test_e2e_process_group.cpp	[distributed] add base processgroup::options (#53662)	2021-03-17 18:40:04 -07:00
test_e2e_tensorpipe.cpp	[distributed] add base processgroup::options (#53662)	2021-03-17 18:40:04 -07:00
test_tensorpipe_serialization.cpp	Use type-erased union for Buffer. (#322)	2021-03-18 02:23:17 -07:00
test_wire_serialization.cpp	Back out "Revert D21171334: [pytorch][PR] Change StorageImpl to track byte count rather than element count" (#37893)	2020-05-05 22:43:15 -07:00