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### Problem PR #142944 introduced a new canonicalization pattern which caused failures in the following GPU-related integration tests: - mlir/test/Integration/GPU/CUDA/TensorCore/sm80/transform-mma-sync-matmul-f16-f16-accum.mlir - mlir/test/Integration/GPU/CUDA/TensorCore/sm80/transform-mma-sync-matmul-f32.mlir The issue occurs because the new canonicalization pattern can generate multi-dimensional `vector.from_elements` operations (rank > 1), but the GPU lowering pipelines were not equipped to handle these during the conversion to LLVM. ### Fix This PR adds `vector::populateVectorFromElementsLoweringPatterns` to the GPU lowering passes that are integrated in `gpu-lower-to-nvvm-pipeline`: - `GpuToLLVMConversionPass`: the general GPU-to-LLVM conversion pass. - `LowerGpuOpsToNVVMOpsPass`: the NVVM-specific lowering pass. Co-authored-by: Yang Bai <yangb@nvidia.com>
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