* 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 round_proto.h
* \brief
*/
#ifndef OPS_OP_ROUND_PROTO_H_
#define OPS_OP_ROUND_PROTO_H_
#include "graph/operator_reg.h"
#include "graph/operator.h"
namespace ge
{
*@brief Rounds the values of a tensor to the nearest integer, element-wise.
* Rounds half to even.
*@par Inputs:
*Inputs including:
* x: An ND Tensor of type bfloat16, float16, float, int64, double, int32.
* @par Attributes:
* decimals: An optional int attr, number of decimal places to round to. Defaults to "0".
*@par Outputs:
*y: An ND Tensor. Has the same data type and shape as "x".
*@par Third-party framework compatibility
* Compatible with the TensorFlow operator Round.
*@attention Constraints:
* @li When the input value is between [-0.5, -0], the output value is 0.
* @li In the scenarios where the decimals is not zero:
* The input data exceeds the range of (-347000, 347000), which may affect the precision errors.
*/
REG_OP(Round)
.INPUT(x, TensorType(DT_FLOAT16, DT_BF16, DT_FLOAT, DT_INT32, DT_INT64,
DT_DOUBLE))
.OUTPUT(y, TensorType(DT_FLOAT16, DT_BF16, DT_FLOAT, DT_INT32, DT_INT64,
DT_DOUBLE))
.ATTR(decimals, Int, 0)
.OP_END_FACTORY_REG(Round)
}
#endif
