Files
pytorch/torch
Dan Zimmerman 6419076db9 [torch][amdsmi] Look for amdsmi in ROCM_HOME/ROCM_PATH before using rpath (#147117)
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
2025-02-14 01:11:59 +00:00
..
2025-02-13 20:29:15 +00:00
2024-08-31 20:18:59 +00:00

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.