}
    auto conv_op = static_cast<const ConcreteType *>(this)->createTFLOp(
        &state, rewriter, op->getLoc(), tf_op.getType(), input, filter, bias);

    rewriter.replaceOp(op, conv_op.getResult());
    return success();
  }

  const IntegerAttr intAttrOne;

 private:
  bool allow_bf16_and_f16_type_legalization_;
};

                                                   operands[i], operands[i + 1])
                        : operands[i];
      }
      n = (n + 1) / 2;
    }

    rewriter.replaceOp(addn_op, operands[0]);
    return success();
  }
};

// Lowers DynamicStitch op with constant indices and with static input and
// output shapes using Reshape, UnPack and Pack op.
//

    if ((ranked_type && ranked_type.getRank() == 0) ||
        !matchPattern(element_shape, m_Constant(&dense_elem_attr))) {
      // If no constant is spotted, just forward the operand.
      rewriter.replaceOp(op, {input});
      return success();
    }

    RankedTensorType shape_type =
        tensorflow::GetTypeFromTFTensorShape({-1}, rewriter.getIntegerType(32));

      }
      auto scast_op = rewriter.create<quantfork::StorageCastOp>(
          call_op.getLoc(), result_type, result);
      replace_map.insert(std::make_pair(result, scast_op));
    }

    for (auto replace_pair : replace_map) {
      Value result = replace_pair.first;
      quantfork::StorageCastOp scast_op = replace_pair.second;
      result.replaceAllUsesExcept(scast_op, scast_op);
    }