* 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.
*/
#ifndef OPS_OP_PROTO_INC_GREATER_EQUAL_H_
#define OPS_OP_PROTO_INC_GREATER_EQUAL_H_
#include "graph/operator_reg.h"
#include "graph/types.h"
namespace ge {
*@brief Returns the truth value of (x1 >= x2) element-wise. Support broadcasting operations. \n
*When input is int32 and (x2 - x1) > 2^31 or < -2^31,
*aicore accuracy is not guaranteed.
*@par Inputs:
*Two inputs, including:
* @li x1: A ND Tensor with TensorType::RealNumberType().
* @li x2: A ND Tensor to be compared to "x1", and the data type is the same as "x1".
*@par Outputs:
*y: A ND Tensor. Has the bool dtype. True means x1 >= x2, false means x1 < x2.
*@par Third-party framework compatibility:
* Compatible with the TensorFlow operator GreaterEqual.
*/
REG_OP(GreaterEqual)
.INPUT(x1, TensorType::RealNumberType())
.INPUT(x2, TensorType::RealNumberType())
.OUTPUT(y, TensorType({DT_BOOL}))
.OP_END_FACTORY_REG(GreaterEqual)
}
#endif
