def TFL_BroadcastableBinaryBuilder :
  OpBuilder<(ins "Value":$lhs, "Value":$rhs),
  [{
    auto resultType =
      OpTrait::util::getBroadcastedType(lhs.getType(), rhs.getType());
    if (!resultType)
      mlir::emitError($_state.location, "non-broadcastable operands");
    $_state.addOperands({lhs, rhs});
    $_state.types.push_back(resultType);
  }]>;

def TFL_FusedBroadcastableBinaryBuilder :

    Type operand_type = std::get<0>(entry).getType();
    Value result = std::get<1>(entry);
    TensorType result_type = mlir::cast<TensorType>(result.getType());
    Type inferred_type = TypeMeet(result_type, operand_type);
    if (result_type == inferred_type) continue;

    if (!UpdateTypeAndInsertIncompatibleUseCasts(inferred_type, result))
      continue;
    changed = true;
  }

      os << operand_type;
    }
  }
  os << ") -> (";
  if (!inst->getResultTypes().empty()) {
    bool first = true;
    for (Type result_type : inst->getResultTypes()) {
      os << (!first ? ", " : "");
      first = false;
      os << result_type;
    }
  }
  os << ")";
  // Print out attributes except for large elementsattributes (which should