* sycl: fix CONV_2D wrong results for non-contiguous input
The kernel indexes the `input` as a contiguous [W, H, C, N] tensor, but
supports_op claimed the op for any layout. A non-contiguous (e.g. `CWHN`
permuted) input was read with the wrong element offsets, silently
producing wrong results.
Gate the CONV_2D op on `input` and `kernel` contiguity, matching the
CUDA backend contract, and assert input contiguity in the op.
`test-backend-ops -b SYCL0 -o CONV_2D`: goes from 16 failures to 0,
none.
```text
2006/2006 tests passed
Backend SYCL0: OK
Backend 2/2: CPU
Skipping
2/2 backends passed
OK
```
Assisted-by: pi (unsloth/Qwen3.8-27B-GGUF:Q4_K_M via llama.cpp)
* sycl : CONV_2D cwhn=1 support
Make the SYCL backend compute `GGML_OP_CONV_2D` correctly for `cwhn=1` (CWHN
channel-order) inputs and kernels, so the previously failing test-
backend-ops CONV_2D cases pass on SYCL instead of being skipped or
miscomputed.
- Implement CWHN layout support in `ggml/src/ggml-sycl/conv2d.cpp`
(`ggml_sycl_op_conv2d`).
- Update SYCL `supports_op` for `GGML_OP_CONV_2D` in
`ggml/src/ggml-sycl/ggml-sycl.cpp` to accept both layouts.
Assisted-by: pi (Greatjedi/Qwen3.8-27B-Intel-Arc-Tuned-GGUF via llama.cpp)
* sycl docs : update ops for SYCL
Michael Taylor
7170cad4d0