[mlir][linalg] Relax scalable vectorization restrictions (#117991) Currently, the Linalg vectorizer disallows non-trailing parallel dimensions to be scalable, e.g., `vector_sizes [[8], 1]` (*), for cases like: ```mlir %0 = linalg.fill ins(%arg0 : f32) outs(%A : tensor<?x?xf32>) -> tensor<?x?xf32> ``` This restriction exists to avoid generating "scalable" arrays of aggregates, which LLVM does not support (multi-dim vectors are lowered into arrays of aggregates at the LLVM level). This patch relaxes that restriction when the trailing parallel vector dimension is `1`, e.g., for `vector_sizes [[8], 1]`. Such cases are safe since trailing unit dimensions can be collapsed. This relaxation is necessary to support scalable vectorization for tensor.pack, where inner tile sizes are `[8]` (scalable) and `1` (scalar). (*) Transform Dialect notation
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