Hili ni toleo la zamani. Toleo la sasa ni b9994. llama.cpp b9994 · Lilitolewa:
Faili za kisakinishi b10545
| Usanifu | Aina | Upeo | Ukubwa wa faili | Pakua | SHA256 |
|---|---|---|---|---|---|
| 64-bit | ZIP → Portable | — | — | github.com | VirusTotal |
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Maelezo ya toleo
metal : clamp K extent in tensor API mat-mat kernel for K not a multiple of 32 (#27450)
The Tensor API mat-mat path of kernel_mul_mm (GGML_METAL_HAS_TENSOR) fed a
static K=32 tile to the matmul2d op on every iteration. On the last, partial
K tile (ne00 % 32 != 0) the src1 slice extends past the K extent of the
tensor, and the op reads those out-of-bounds elements (undefined behavior per
the MSL specification, section 2.22.2). Depending on stale memory contents,
this corrupted the result or produced NaN.
Make the matmul2d op use dynamic_extent for K, and clamp the K extent of both
operand tensor views to the remaining valid K range (min(32, K - loop_k)) per
iteration, so the op reads exactly the valid K range on every iteration
(mirroring the tail handling of the MPP matmul2d examples). On K-aligned
inputs the clamp degenerates to the full 32-wide tile: the only difference
from the static-K op is that the dynamic-K op derives K from the operand
extents and edge-checks the tile against the tensor extents (a handful of
integer ops per iteration).
Add test-backend-ops MUL_MAT cases with K not a multiple of 32 to exercise
the unaligned K path.
Assisted-by: pi:llama.cpp/Qwen3.8-27B
Website:
- https://llama.app
Attestations:
- https://github.com/ggml-org/llama.cpp/attestations/42040575
macOS/iOS:
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Linux:
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Android:
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Windows:
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- Windows x64 (CUDA 12) - CUDA 12.4 DLLs
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- Windows x64 (Vulkan)
- Windows x64 (OpenVINO)
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UI:
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