[mlir][sparse] layout fixes (NFC)

mlir/include/mlir/Dialect/SparseTensor/IR/SparseTensorTypes.td

 //===- SparseTensorTypes.td - Sparse tensor dialect types ------*- tablegen -*-===//
 //
 // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
 // See https://llvm.org/LICENSE.txt for license information.
 // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
 //
 //===----------------------------------------------------------------------===//
+
 #ifndef SPARSETENSOR_TYPES
 #define SPARSETENSOR_TYPES
 
 include "mlir/Dialect/SparseTensor/IR/SparseTensorAttrDefs.td"
 include "mlir/Dialect/SparseTensor/IR/SparseTensorBase.td"
 
 //===----------------------------------------------------------------------===//
 // Base class.

mlir/lib/Dialect/SparseTensor/Transforms/SparseVectorization.cpp

if (arg == forOp.getInductionVar()) {
           for (unsigned i = 0, l = vl.vectorLength; i < l; i++)
             integers.push_back(APInt(/*width=*/64, i));
           auto values = DenseElementsAttr::get(vtp, integers);
           incr = rewriter.create<arith::ConstantOp>(loc, vtp, values);
         }
         vexp = rewriter.create<arith::AddIOp>(loc, veci, incr);
       }
       return true;
-    } // An invariant or reduction. In both cases, we treat this as an
+    }
+    // An invariant or reduction. In both cases, we treat this as an
     // invariant value, and rely on later replacing and folding to
     // construct a proper reduction chain for the latter case.
     if (codegen)
       vexp = genVectorInvariantValue(rewriter, vl, exp);
     return true;
   }
   // Something defined outside the loop-body is invariant.
   Operation *def = exp.getDefiningOp();