if (!(((*root.getODSResults(1).begin()).use_empty()))) {
      return rewriter.notifyMatchFailure(
          fused_batch_norm_op, [&](::mlir::Diagnostic &diag) {
            diag << "entities '' failed to satisfy constraint: has no use";
          });
    }

    if (!(((*root.getODSResults(2).begin()).use_empty()))) {
      return rewriter.notifyMatchFailure(
          fused_batch_norm_op, [&](::mlir::Diagnostic &diag) {

          "integer or 16-bit/32-bit/64-bit float type during TF Lite "
          "transformation pass";
      return allow_tensorlist_pass_through_
                 ? rewriter.notifyMatchFailure(op, error_info)
                 : op.emitOpError(error_info);
    }

    Value element_shape = adaptor.getOperands()[0];
    Type shape_dtype = getElementTypeOrSelf(element_shape.getType());

    auto tf_roll_op = cast<RollOp>(op);

    auto input_ty =
        mlir::dyn_cast<RankedTensorType>(tf_roll_op.getInput().getType());
    if (!input_ty || !input_ty.hasStaticShape()) {
      return rewriter.notifyMatchFailure(
          op, "require the type of input to have static shapes");
    }

    DenseIntElementsAttr shift_attr;
    Value shift = tf_roll_op.getShift();
    auto shift_ranked_attr_type =