ggml: enable PowerPC backend variants on AIX (#25983)

• ggml: enable PowerPC backend variants on AIX

Allow the PowerPC CPU backend variants to be built on AIX by extending the platform check in the CMake configuration. This reuses the existing PowerPC backend implementations without changing their behavior.

Also fix a missing semicolon in the PowerPC Q0 matmul implementation.

• Fix missing semicolon in sgemm.cpp

ci : fix SYCL package shared library lookup (#25987)

webgpu : add CONV_2D_DW (depthwise conv2d) kernel (#25847)

• webgpu : add CONV_2D_DW (depthwise conv2d) kernel

Implement GGML_OP_CONV_2D_DW for the WebGPU backend,
ported from the Vulkan backend's conv2d_dw.comp.

Assisted-by: Claude Opus-4.8

• Remove unnecessary comments in webgpu support

• update supported ops tables, triggered by adding webgpu CONV_2D_DW

cuda: GET_ROWS quants (#25962)

• cuda: add k-quant support to GET_ROWS

Device-side embedding lookups require GET_ROWS to handle the k-quants
used by common GGUF recipes (Q4_K_M stores token_embd as q6_K). Without
it the backend rejects the op and the scheduler falls back to the host,
copying the full embedding matrix back on every token in single-device
graphs.

Factor the super-block dequantizers out of the dequantize_block kernels
in convert.cu into shared device functions in dequantize.cuh and reuse
them from a new k_get_rows_kq kernel : one thread block dequantizes one
(dst row, super-block) pair with the existing thread layouts, 32 threads
for q4_K and 64 for the other k-quants.

Covers q2_K to q6_K in get_rows_cuda and supports_op. i-quants are left
as a TODO.

• cuda: add i-quant support to GET_ROWS

Extends the shared super-block dequantizers to the nine i-quants and
reuses them from k_get_rows_kq with the 32-thread layout of the matching
convert.cu kernels. supports_op gates the k-quant and i-quant path on
ne0 being a multiple of QK_K, which iq4_nl does not guarantee on its
own (QK4_NL sub-blocks). mxfp4 is left as a TODO.

• cuda: add mxfp4 support to GET_ROWS

Moves the mxfp4 dequantizer into the shared super-block helpers and
reuses it from k_get_rows_kq with the 32-thread layout of the matching
convert.cu kernel. mxfp4 joins the ne0 % QK_K gate in supports_op since
its 32-value sub-blocks do not guarantee QK_K-aligned rows on their own.
This closes GET_ROWS type coverage on CUDA: every quantized GGML type
now takes the direct device path.

• cuda: gate the GET_ROWS row size only for 32-value sub-block types

Address review from @pwilkin: the i-quant commit replaced the return
shared by the whole supported type cascade, so f16/f32/bf16/i32 and the
legacy quants also inherited the ne0 % QK_K == 0 gate and any row size
that is not a multiple of 256 fell back to the scheduler. Split the
cascade: unconditional support is restored everywhere, the gate stays
only on iq4_nl and mxfp4 whose 32-value sub-blocks do not guarantee the
QK_K super-blocks the kernel iterates on.

llama-arch: fix DeepSeek4 APE tensor op (#25945)

Add support for Laguna XS.2 & M.1 (#25165)

mtmd : use align_corners for qwen3vl vision position embedding interpolation (#25781)

The Qwen3-VL learned position embedding is interpolated to the runtime patch
grid with the default bilinear+antialias (align_corners=False) sampling, while
the transformers reference uses align_corners=True (torch.linspace(0, side-1, T)).
The mismatch scales grounding coordinates about the image center, growing with
image size and per-axis for non-square images (see #16880).

hexagon: check tensor type when reusing descriptors (#25968)

cuda: add sqrt_softplus in topk-moe for dsv4 (#25896)

kleidiai : warn once when a weight type has no KleidiAI kernel (#25701)