* Copyright (c) 2026 Huawei Technologies Co., Ltd.
* This program is free software, you can redistribute it and/or modify it under the terms and conditions of
* CANN Open Software License Agreement Version 2.0 (the "License").
* Please refer to the License for details. You may not use this file except in compliance with the License.
* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
* INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
* See LICENSE in the root of the software repository for the full text of the License.
*/
* \file gcd_proto.h
* \brief
*/
#ifndef OPS_OP_PROTO_INC_GCD_H_
#define OPS_OP_PROTO_INC_GCD_H_
#include "graph/operator_reg.h"
#include "graph/types.h"
namespace ge {
* @brief Returns x1 and x2 greatest common divisor element-wise.
* Support broadcasting operations.
* @par Inputs:
* Two inputs, including:
* @li x1: A ND Tensor, support 1D ~ 8D.
* Must be one of the following types: uint8, int8, int16, int32, int64.
* @li x2: A ND Tensor of the same dtype as "x1", support 1D ~ 8D. \n
* @par Outputs:
* y: A ND Tensor. Has the same dtype as "x1". \n
* @par Third-party framework compatibility
* Compatible with the Torch operator Gcd.
*/
REG_OP(Gcd)
.INPUT(x1, "T")
.INPUT(x2, "T")
.OUTPUT(y, "T")
.DATATYPE(T, TensorType({DT_UINT8, DT_INT8, DT_INT16, DT_INT32, DT_INT64}))
.OP_END_FACTORY_REG(Gcd)
}
#endif
