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pytorch/torch
Nikolay Bogoychev 46ef73505d Clarify how to get extra link flags when building CUDA/C++ extension (#118743)
Make it a bit more explicit how one parse linker arguments to the build and point to the superclass documentation.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/118743
Approved by: https://github.com/ezyang
2024-02-01 22:35:25 +00:00
..
2024-01-29 23:42:35 +00:00
2024-01-29 23:42:35 +00:00
2024-02-01 21:11:28 +00:00
2024-01-28 13:38:22 +00:00
2023-12-25 04:51:21 +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.