* Copyright (c) 2025 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 logical_or_proto.h
* \brief
*/
#ifndef OPS_OP_PROTO_INC_LOGICAL_OR_H_
#define OPS_OP_PROTO_INC_LOGICAL_OR_H_
#include "graph/operator_reg.h"
#include "graph/types.h"
namespace ge {
*@brief Returns the truth value of x1 OR x2 element-wise. Support broadcasting operations.
*
*@par Inputs:
*@li x1: A ND tensor of type bool.
*@li x2: A ND tensor of the same dtype as "x1".
*
*@attention Constraints:
* LogicalOr supports broadcasting.
*
*@par Outputs:
* y: A tensor of the same dtype as "x1".
*
*@par Third-party framework compatibility
*Compatible with the TensorFlow operator LogicalOr.
*
*/
REG_OP(LogicalOr)
.INPUT(x1, TensorType({DT_BOOL}))
.INPUT(x2, TensorType({DT_BOOL}))
.OUTPUT(y, TensorType({DT_BOOL}))
.OP_END_FACTORY_REG(LogicalOr)
}
#endif
