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ggml:放宽对非连续视图的缩放(#31146)* ggml:放宽对非连续视图的缩放 SCALE 要求 src0 必须是一维连续内存。现将其放宽为在维度 0 上具有任意行步长的连续性(ggml_is_contiguous_rows),这与 Metal 后端中的单目运算保持一致。 - ggml:放宽 ggml_scale_impl 中的断言 - cpu:通过字节步长访问 src0 的各行(f32、bf16) - cuda:支持步长感知的内核,采用 fastdiv 行分解 - metal:支持 bf16 缩放(通过受保护的单目实例化) - sycl:保持 gate 处于连续状态,内核则以 f32 平铺形式实现 为 test_scale 添加视图变体。已在 CPU、Metal 和 CUDA 上验证。协助者:dsh:llama.cpp/ggml-org/Qwen3.8-Flash-Next-GGUF(RTX 5090 32GB,DDR5 128GB)* cuda:在非连续视图上跳过软截断融合 融合后的软截断内核会读取 src 和 w

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ggml : relax scale to non-contiguous views (#31146)

* ggml : relax scale to non-contiguous views

SCALE requires src0 to be 1D-contiguous. Relax this to dim-0

contiguity with arbitrary row strides (ggml_is_contiguous_rows),

same as the unary ops in the Metal backend.

- ggml: relax the assert in ggml_scale_impl

- cpu: address src0 rows through their byte strides (f32, bf16)

- cuda: stride-aware kernel, fastdiv row decomposition

- metal: support bf16 scale (guarded unary instantiations)

- sycl: keep the gate at contiguous, the kernel is flat f32

Add view variants to test_scale. Verified on CPU, Metal and CUDA.

Assisted-by: dsh:llama.cpp/ggml-org/Qwen3.8-Flash-Next-GGUF (RTX 5090 32GB, DDR5 128GB)

* cuda : skip the softcap fusion on non-contiguous views

The fused softcap kernel reads src and writes dst as dense arrays,

so a view reaching SCALE -> TANH -> SCALE now that SCALE accepts

non-contiguous rows would be read wrongly. Keep such graphs on the

strided kernels until the fusion becomes stride aware.

---------

Co-authored-by: Pascal

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