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ggml:非連続なビューに対してスケールを緩和 (#31146) * ggml:非連続なビューに対してスケールを緩和 SCALE では src0 が 1 次元の連続メモリであることが要求されます。これを、任意の行ストライド(ggml_is_contiguous_rows)を持つ次元 0 の連続性に緩和し、Metal バックエンドの単項演算と同様の動作を実現します。 - ggml:ggml_scale_impl におけるアサートを緩和 - cpu:src0 の各行をバイトストライド(f32、bf16)に基づいてアクセス - cuda:ストライド対応のカーネル、高速除算による行分解 - metal:bf16 スケールをサポート(ガード付きの単項インスタンス化) - sycl:ゲートは連続状態を維持し、カーネルはフラットな f32 を使用 test_scale にビュー変種を追加。CPU、Metal、CUDA で検証済み。補助者:dsh:llama.cpp/ggml-org/Qwen3.8-Flash-Next-GGUF(RTX 5090 32GB、DDR5 128GB) * cuda:非連続なビューではソフトキャップ融合をスキップ 融合されたソフトキャップカーネルは src と w を読み込みます

翻訳に失敗したため原文を表示しています。

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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