Philippe Tillet
2922dc141c
Merge branch 'master' into v2.0
2022-01-30 20:25:01 -08:00
Philippe Tillet
807d8a1945
[ALL] Merge master ( #447 )
2022-01-30 20:21:20 -08:00
daadaada
59d371c6eb
[BACKEND] Added Int8 mma ( #440 )
2022-01-27 09:12:44 -08:00
daadaada
94a2e10fe5
[BACKEND] Add bf16 & tf32 mma supports (on A100) ( #426 )
2022-01-11 10:20:31 -08:00
Philippe Tillet
2509124dd0
[DRIVER] Fixed some issue with how ptxas is used ( #399 )
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Now using tmpnam and properly deleting temporaries when an exception is raised
2021-12-21 14:31:51 -08:00
Philippe Tillet
4e93b41c52
[GENERAL] Some minor fixups ( #393 )
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* [RUNTIME] Now displaying error message when generated PTX is invalid
* [CODEGEN] Now converting `if` condition to bool implicitly
2021-12-17 18:06:21 -08:00
Victor
73b04d71b2
Fixes for building on Windows ( #382 )
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* make C++ code compatible with Windows + MSVC
* added dlfcn-win32 for cross-platform dlopen
* fixed building and pip install on Windows
* fixed shared library file name under Windows
2021-12-07 14:10:58 -08:00
Philippe Tillet
2acaa4d0dd
[LANG] Added support for constexpr ( #361 )
2021-10-30 00:32:58 -07:00
Philippe Tillet
b7f0e87dc2
[DRIVER] Removed std::cout log message
2021-10-29 10:42:10 -07:00
Philippe Tillet
d3e584d4ba
Revert "[DRIVER] Fixed CUDA 10.1 bug ( #357 )" ( #358 )
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This reverts commit d35014ba47
2021-10-26 15:04:49 -07:00
Philippe Tillet
d35014ba47
[DRIVER] Fixed CUDA 10.1 bug ( #357 )
2021-10-26 11:17:06 -07:00
Philippe Tillet
5ce1b726dc
[CODEGEN] Various bugfixes that make it possible to fuse RNG in a matmul epilogue ( #356 )
2021-10-24 02:30:46 -07:00
Philippe Tillet
6e5b0b4301
[FRONTEND] Added on-disk cache for compiled kernels ( #287 )
2021-09-18 22:48:26 -07:00
Philippe Tillet
94c83d30ce
[GENERAL] Removed deprecated driver files and added basic compatibility with rocm ( #268 )
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- Removed driver module -- accelerator runtime is handled by pytorch
- Added basic support for ROCM based on @micmelesse 's PR -- now can execute empty kernel on AMD devices without any compile-time changes
- Now only using PREFER_SHARED for kernels when the size of shared memory is greater than 49k. Otherwise there can be poor L1 performance for broadcast tensors
2021-09-09 00:04:28 -07:00
