### 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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