llama.cpp/ggml
Piotr Wilkin (ilintar) 96fe9badfc
Add support for CUMSUM and TRI for CUDA. (#17584)
* Add support for CUMSUM and TRI for CUDA.

* Minor optimizations.

* Correct warp_prefix_inclusive_sum in float2 variant to return float2

* Optimize TRI

* Whitespace

* Fix strides.

* Implement double loop

* Whitespace

* Fix HIP compilation bugs

* Optimizations + big case performance tests

* Implement using CUB with fallback to custom kernel

* Remove error message.

* Fixes from code review

* Comment out CPU-unsupported F16/BF16 cases to fix CI

* Fine, you win :P

* Fix last cast, use NO_DEVICE_CODE and GGML_UNUSED_VARS

* Vary warp-size based on physical warp size

* Add GGML_UNUSED_VARS in tri as well

* Use constexpr and call prefix_inclusive with warp_size template param

* Update ggml/src/ggml-cuda/cumsum.cu

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>

* Apply suggestions from code review

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>

* Change to tid % warp_size

* Fix strides; hardcode mask; add ggml_lane_mask_t

* Missing renames, remove unused get_warp_mask(), explicit calls to ggml_cuda_info()

* Too hasty...

---------

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2025-12-04 22:19:51 +01:00
..
cmake ggml: Skip backend library linking code when GGML_BACKEND_DL=ON (#15094) 2025-08-07 13:45:41 +02:00
include build : move _WIN32_WINNT definition to headers (#17736) 2025-12-04 07:04:02 +01:00
src Add support for CUMSUM and TRI for CUDA. (#17584) 2025-12-04 22:19:51 +01:00
.gitignore vulkan : cmake integration (#8119) 2024-07-13 18:12:39 +02:00
CMakeLists.txt build : move _WIN32_WINNT definition to headers (#17736) 2025-12-04 07:04:02 +01:00