CUDA: fix tile FA kernel on Pascal#22541
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JohannesGaessler merged 1 commit intoggml-org:masterfrom Apr 30, 2026
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I gues this needlessly nerfs musa which afaik also has 64KiB sram. |
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* 'master' of github.com:tekintian/llama.cpp: (659 commits) ggml-webgpu: Improve performance of mat-vec and mat-mat for MUL_MAT_ID (ggml-org#22464) Update llama-mmap to use ftello/fseeko (ggml-org#22497) common : check for null getpwuid in hf-cache (ggml-org#22550) vulkan: add get/set tensor 2d functions (ggml-org#22514) spec: fix argument typo (ggml-org#22552) ci : bump ty to 0.0.33 (ggml-org#22535) vendor : update cpp-httplib to 0.43.2 (ggml-org#22548) CUDA: fix tile FA kernel on Pascal (ggml-org#22541) scripts : add wc2wt.sh - create worktree from current HEAD (ggml-org#22513) add fast matmul iquants (ggml-org#22504) spec : fix draft model checkpoints (ggml-org#22521) spec : fix vocab compat checks in spec example (ggml-org#22426) common : do not pass prompt tokens to reasoning budget sampler (ggml-org#22488) hexagon: make vmem and buffer-size configurable (ggml-org#22487) CUDA: fuse SSM_CONV + ADD(bias) + SILU (ggml-org#22478) spec : disacard last drafted token with low prob (ggml-org#22506) sync : ggml ggml : bump version to 0.10.1 (ggml/1469) webui: fix slow mic stop and WAV encode (ggml-org#22480) ggml-cpu : disable tiled matmul on AIX to fix page boundary segfault (ggml-org#22293) ... # Conflicts: # .gitignore
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Fixes #22491 .
The problem is that the new kernel for Mistral Small 4 is being compiled unconditionally with 32 columns / CUDA block. On Pascal that puts it above the 38 kiB / CUDA block shared memory limit. This PR makes it so that 32 columns/block continue to be used for AMD where this fits and on Pascal 2 CUDA blocks with 16 columns each are used instead.
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