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Summary: ROCm uses ROCM_HOME/ROCM_PATH to specify which version of rocm the user wants to use. This is especially important in multi-version setups. Let's respect that behavior when loading amdsmi. Test Plan: CI ``` NCCL_DEBUG=INFO NCCL_DEBUG_SUBSYS=INIT,COLL MSCCL_ALGO_DIR=~/2fbsource/third-party/rccl/develop/tools/msccl-algorithms RCCL_MSCCLPP_THRESHOLD=(math '128*1024*1024') RCCL_MSCCLPP_ENABLE=1 ENABLE_MSCCLPP=1 buck2 run fbcode//mode/opt-amd-gpu -m rocm621 fbcode//accelerators/workloads/microbench:bench_comm -- --shape moe_17b --comm_algo nccl_allreduce ``` Differential Revision: D69597647 Pull Request resolved: https://github.com/pytorch/pytorch/pull/147117 Approved by: https://github.com/malfet
Note [TH abstraction violation] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ TH/THC provide some hpp headers, which are proper C++ headers rather than C headers. These headers serve double duty as *internal implementation detail* headers, whose contents should largely not be used by external clients. Ideally, we would not install these headers at all; instead, you should use public functions (in headers like `THTensor.h`, NOT `THTensor.hpp`) to manipulate these structs. However, there are a few places in torch/csrc where we violate this abstraction. They are marked with a pointer to this note. Each of those sites will have to be refactored when we refactor the guts of THTensor and related structures.