fix code formatting issue

Author: Alaa Ali

mlir/lib/Dialect/Shape/IR/Shape.cpp

@@ -1735,20 +1735,21 @@ struct ShapeOfFromReshape : public OpRewritePattern<shape::ShapeOfOp> {
     // 'shape.shape_of'. While its type is guaranteed to be compatible in well-
     // formed IR, it may not be identical (dynamically vs statically shaped),
     // in which case it needs to be cast first using 'tensor.cast'.
-    // Additionally, it may not have identical element type (i32 vs index) 
-    // while it has identical shaped type (dynamic vs static), in which case it needs 
-    // to be cast first using 'arith.index_cast'.
-    // Note: 'shape.shape_of' op result must be shape or extent tensor.
+    // Additionally, it may not have identical element type (i32 vs index)
+    // while it has identical shaped type (dynamic vs static), in which case it
+    // needs to be cast first using 'arith.index_cast'. Note: 'shape.shape_of'
+    // op result must be shape or extent tensor.
     Value shape = tensorReshapeOp.getShape();
 
     auto opTensorTy = cast<RankedTensorType>(op.getType());
     auto shapeTensorTy = cast<RankedTensorType>(shape.getType());
 
     if (opTensorTy != shapeTensorTy) {
-        if (opTensorTy.getElementType() == shapeTensorTy.getElementType())
-          shape = rewriter.create<tensor::CastOp>(op.getLoc(), opTensorTy, shape);        
-        else if (!isExtentTensorType(shapeTensorTy))
-          shape = rewriter.create<arith::IndexCastOp>(op.getLoc(), opTensorTy, shape);        
+      if (opTensorTy.getElementType() == shapeTensorTy.getElementType())
+        shape = rewriter.create<tensor::CastOp>(op.getLoc(), opTensorTy, shape);
+      else if (!isExtentTensorType(shapeTensorTy))
+        shape =
+            rewriter.create<arith::IndexCastOp>(op.getLoc(), opTensorTy, shape);
     }
 
     rewriter.replaceOp(op, shape);