* 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 identity_n_proto.h
* \brief
*/
#ifndef IDENTITY_N_PROTO_H_
#define IDENTITY_N_PROTO_H_
#include "graph/operator_reg.h"
#include "graph/operator.h"
namespace ge
{
*@brief Returns a list of tensors with the same shapes and contents as the input tensors. \n
*@par Inputs:
*x: A list of input tensors. It's a dynamic input. Must be one of the following types:
float32, float16, int8, int16, uint16, uint8, int32, int64, uint32, uint64, bool, double, string.
*@par Outputs:
*y: A list of Tensor objects, with the same length, shape, data type and contents as the input tensor list.
It's a dynamic output. \n
*@par Third-party framework compatibility
*Compatible with the TensorFlow operator IdentityN.
*/
REG_OP(IdentityN)
.DYNAMIC_INPUT(x, TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8, DT_INT16, DT_UINT16, DT_UINT8,
DT_INT32, DT_INT64, DT_UINT32, DT_UINT64, DT_BOOL, DT_DOUBLE, DT_STRING}))
.DYNAMIC_OUTPUT(y, TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8, DT_INT16, DT_UINT16, DT_UINT8,
DT_INT32, DT_INT64, DT_UINT32, DT_UINT64, DT_BOOL, DT_DOUBLE, DT_STRING}))
.OP_END_FACTORY_REG(IdentityN)
}
#endif
