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llama.cpp 发布: b11178

llama.cpp 发布 · 来源更新
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musa: fix PH1 (MTT S5000) operator failures and build issues (#29193) * musa: use 16-byte copies for MUSA like sm_70+ ggml_cuda_get_max_cpy_bytes() derives the copy width from __CUDA_ARCH__. mcc never defines it, so MUSA fell into the generic branch and returned 8 bytes instead of the 16 bytes that every sm_70+ target gets. The value sizes the per-thread copy unit of the FlashAttention K/V staging code (fattn-common, fattn-vec, fattn-tile, fattn-mma-f16 shared-memory loads) and of mmq-vec-dot, so every MUSA FlashAttention kernel moved half as many bytes per instruction. On an MTT S5000 (mp_31, MUSA SDK 5.2.0) with Qwen3.8-27B-UD-Q4_K_M, -ngl 999, -p 512 -n 64, -fa on: 751.15 -> 794.73 t/s prefill and 15.59 -> 15.69 t/s decode. -fa off is unchanged (1050.05 -> 1052.86 t/s prefill), FLASH_ATTN_EXT is unchanged (3984 ok / 0 fail / 1323 unsupported) and perplexity is unchanged. * musa: enable the CUB paths on MUSA GGML_CUDA_USE_CUB and USE_CUB are selected by "CUDART_VERSION >= 11070", which the MUSA SDK never satisfies: CUDART_VERSION is not defined anywhere under /usr/local/musa/include, so the condition is always false and every CUB-based path stayed compiled out on MUSA even though the SDK ships CUB and the kernels build for mp_31. Select them from GGML_USE_MUSA as well. The device-wide algorithms are usable too: cub::DeviceSegmentedSort compiles and produces correct results on mp_31. This lifts the ne[0] <= 1024 limit that ggml_backend_cuda_device_supports_op applied to ARGSORT and TOP_K on MUSA. On an MTT S5000 (S5000, mcc 5.2.0): ARGSORT 48 ok / 52 not supported -> 100 ok / 0 (CUDA parity), TOP_K 0 ok / 354 not supported -> 527 ok / 0. The other 20 per-op suites are unchanged, the Qwen3-0.6B f16 (14.4679) and Qwen3.8-27B iq4_nl (5.1724) perplexities are unchanged, an

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llama.cpp 发布 · 官方来源
来源发布
2026/09/25 19:16
来源更新
2026/09/25 19:19
首次采集
2026/09/25 23:59

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