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b11927

metal:添加 GGML_OP_TOP_K_MASK(#31230)* metal:添加 GGML_OP_TOP_K_MASK 将融合后的 top-k 掩码从 CUDA 后端移植过来:一个网格步进内核先用 -inf 填充输出,然后每行一个线程组将保留单元的掩码值复制到其上。函数常量会剔除某个图中未使用的分数、块以及额外路径。协助者:dsh:llama.cpp/ggml-org/Qwen3.8-Flash-Next-GGUF(MacBook,M5 Max,128GB)* metal:清理 top-k 掩码内核的格式 协助者:dsh:llama.cpp/ggml-org/Qwen3.8-Flash-Next-GGUF(MacBook,M5 Max,128GB)**网站:** - **证明文件:** - **macOS/iOS:** - [macOS 苹果芯片(arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b11927/llama-b11927-bin-macos-arm64.tar.gz) - macOS 苹果芯片(arm64,已启用 KleidiAI)[已禁用](

翻译暂未成功,当前显示原文。

metal : add GGML_OP_TOP_K_MASK (#31230)

* metal : add GGML_OP_TOP_K_MASK

Port the fused top-k mask from the CUDA backend: a grid-stride kernel fills the output with -inf, then one

threadgroup per row copies the mask values of the kept cells over it. Function constants drop the score,

blocks and extra paths that a given graph does not use.

Assisted-by: dsh:llama.cpp/ggml-org/Qwen3.8-Flash-Next-GGUF (MacBook, M5 Max, 128GB)

* metal : clean up top-k mask kernel formatting

Assisted-by: dsh:llama.cpp/ggml-org/Qwen3.8-Flash-Next-GGUF (MacBook, M5 Max, 128GB)

**Website:**

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**Attestations:**

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**macOS/iOS:**

- [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b11927/llama-b11927-bin-macos-arm64.tar.gz)

- macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780)

- [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/b11927/llama-b11927-bin-macos-x64.tar.gz)

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**Linux:**

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**Android:**

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**Windows:**

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- [Windows arm64 (OpenCL Adreno)](https://github.com/ggml-org/llama.cpp/releases/download/b11927/llama-b11927-bin-win-opencl-adreno-arm64.zip)

- [Windows x64 (CUDA 12)](https://github.com/ggml-org/llama.cpp/releases/download/b11927/llama-b11927-bin-win-cuda-12.4-x64.zip) - [CUDA 12.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b11927/cudart-llama-bin-win-cuda-12.4-x64.zip)

- [Windows x64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/b11927/llama-b11927-bin-win-cuda-13.4-x64.zip) - [CUDA 13.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b11927/cudart-llama-bin-win-cuda-13.4-x64.zip)

- [Windows arm64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/b11927/llama-b11927-bin-win-cuda-13.4-arm64.zip) - [CUDA 13.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/b11927/cudart-llama-bin-win-cuda-13.4-arm64.zip)

- [Windows x64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/b11927/llama-b11927-bin-win-vulkan-x64.zip)

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- [Windows x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/b11927/llama-b11927-bin-win-openvino-2026.4.1-x64.zip)

- [Windows x64 (SYCL)](https://github.com/ggml-org/llama.cpp/releases/download/b11927/llama-b11927-bin-win-sycl-x64.zip)

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**openEuler:**

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- openEuler x86 (310p)

- openEuler x86 (910b, ACL Graph)

- openEuler aarch64 (310p)

- openEuler aarch64 (910b, ACL Graph)

**UI:**

- [UI](https://github.com/ggml-org/llama.cpp/releases/download/b11927/llama-b11927-ui.tar.gz)

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