fairydreaming 5635f4b5a9 ggml : process data in smaller chunks in CUDA ggml_top_k() and ggml_argsort() to reduce temporary buffers memory usage (llama/24776) ... * ggml : process data in smaller chunks in CUDA ggml_top_k() implementation to reduce temporary buffers memory usage * ggml : allocate tmp_dst only only once before the loop * chore : whitespaces Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * ggml : use chunked processing in both CUDA CUB top-k and argsort implementations * chore : separate argsort_f32_i32_cuda_bitonic() call from return statement Co-authored-by: Johannes Gäßler <johannesg@5d6.de> * chore : replace ternary operators with min/max --------- Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> Co-authored-by: Johannes Gäßler <johannesg@5d6.de>		2026-07-30 16:31:36 +03:00
..
cmake	ggml : Parallelize quant LUT init (llama/23595)	2026-05-25 12:26:07 +03:00
include	Add Q2_0 quantization: type definition and CPU backend (llama/24448)	2026-07-10 13:06:42 +03:00
src	ggml : process data in smaller chunks in CUDA ggml_top_k() and ggml_argsort() to reduce temporary buffers memory usage (llama/24776)	2026-07-30 16:31:36 +03:00
.gitignore	whisper : reorganize source code + improve CMake (#2256)	2024-06-26 19:34:09 +03:00
CMakeLists.txt	ggml : bump version to 0.16.0 (ggml/1559)	2026-07-10 13:06:42 +03:00