fix: trilu to use last two dims for N and M#1009
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Update trilu to derive N and M from the last two dimensions (len-2, len-1) instead of hard-coding a.dims()[1] and a.dims()[2]. This aligns with the ONNX Trilu spec ([, N, M]) and ensures correct behavior for inputs with zero or multiple batch dimensions. Previously, rank > 3 (or rank == 2) tensors produced incorrect masking because the loops assumed exactly one batch dimension. This change makes the implementation robust across all valid ranks.