[mlir][sparse] Fixing sparse_reshape.mlir integration test (followup to D150822)

[wrengr]

Summary

For some reason, even though D150822 passed the buildbot, it failed to
catch this test

mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reshape.mlir

 // REDEFINE: %{option} = enable-runtime-library=false
 // RUN: %{compile} | %{run}
 //
 // Do the same run, but now with direct IR generation and vectorization.
 // REDEFINE: %{option} = "enable-runtime-library=false vl=2 reassociate-fp-reductions=true enable-index-optimizations=true"
 // RUN: %{compile} | %{run}
 
 #SparseVector = #sparse_tensor.encoding<{
-  dimLevelType = ["compressed"]
+  lvlTypes = ["compressed"]
 }>
 
 #SparseMatrix = #sparse_tensor.encoding<{
-  dimLevelType = ["compressed", "compressed"]
+  lvlTypes = ["compressed", "compressed"]
 }>
 
 #Sparse3dTensor = #sparse_tensor.encoding<{
-  dimLevelType = ["compressed", "compressed", "compressed"]
+  lvlTypes = ["compressed", "compressed", "compressed"]
 }>
 
 module {
 
   func.func @reshape0(%arg0: tensor<3x4xf64, #SparseMatrix>) -> tensor<2x6xf64, #SparseMatrix> {
     %shape = arith.constant dense <[ 2, 6 ]> : tensor<2xi32>
     %0 = tensor.reshape %arg0(%shape) : (tensor<3x4xf64, #SparseMatrix>, tensor<2xi32>) -> tensor<2x6xf64, #SparseMatrix>
     return %0 : tensor<2x6xf64, #SparseMatrix>
func.func @entry() {
     bufferization.dealloc_tensor %sm : tensor<3x4xf64, #SparseMatrix>
     bufferization.dealloc_tensor %reshaped0 : tensor<2x6xf64, #SparseMatrix>
     bufferization.dealloc_tensor %reshaped1 : tensor<12xf64, #SparseVector>
     bufferization.dealloc_tensor %reshaped2 : tensor<2x3x2xf64, #Sparse3dTensor>
 
     return
   }
 
-}
+}