auto rhs_type = mlir::dyn_cast<RankedTensorType>(rhs.getType());
    if (!lhs_type || !rhs_type) return failure();
    if (mlir::isa<ComplexType>(lhs_type.getElementType()) && op.getAdjX()) {
      lhs = rewriter.create<TF::ConjOp>(op.getLoc(), lhs_type, lhs);
    }
    if (mlir::isa<ComplexType>(rhs_type.getElementType()) && op.getAdjY()) {
      rhs = rewriter.create<TF::ConjOp>(op.getLoc(), rhs_type, rhs);
    }

    return tflite::TensorType_STRING;
  } else if (mlir::isa<mlir::TF::Quint8Type>(type)) {
    return tflite::TensorType_UINT8;
  } else if (auto complex_type = mlir::dyn_cast<mlir::ComplexType>(type)) {
    auto ftype = complex_type.getElementType();
    if (ftype.isF32()) {
      return tflite::TensorType_COMPLEX64;
    }
    if (ftype.isF64()) {
      return tflite::TensorType_COMPLEX128;
    }