In the batched LU decomposition in cuBLAS, the output buffer is required to be a pointer of pointers to the appropriate batch matrices. Previously this reshaping was done on the host and then copied to the device, requiring a synchronization, but it seems straightforward to instead implement a tiny CUDA kernel to do this work. This definitely isn't a bottleneck or a high priority change, but this seemed like a reasonable time to fix a longstanding TODO.
PiperOrigin-RevId: 663686539
This is intended to flag cases where the wrong CUDA libraries are used, either because:
* the user self-installed CUDA and that installation is too old, or
* the user used the pip package installation, but due to LD_LIBRARY_PATH overrides or similar we didn't end up using the pip-installed version.
PiperOrigin-RevId: 568910422
Register callback with default call target name from C++, enabling Triton calls with the default name to work in C++ only contexts (e.g. serving).
PiperOrigin-RevId: 545211452
The code for both CUDA and ROCM is almost identical, so with a small shim library to handle the differences we can share almost everything.
PiperOrigin-RevId: 483666051
