the updated interface supports variadic attention options which
removes the need for individual `AttentionWith...` functions. it means
more models can use the attention interface, e.g. models with
custom masks, logit softcapping, etc.
additionally, this interface should be less error prone since there are
now reasonable defaults for all optional parameters
* Enable CUDA Graphs for gemma3n.
Similar to
https://github.com/ggml-org/llama.cpp/pull/14741,
though ollama has a slightly different model graph
than llama.cpp which requires different workaround
checks.
* Remove residual check by reshaping differently in gemma3n model
This should make the heuristics more robust
