/**

 * 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.

 */



/* Generated By CANNBot */



/*!

 * \file trace_proto.h

 * \brief Proto definition for trace operator

 */

#ifndef OPS_OP_PROTO_INC_TRACE_H_

#define OPS_OP_PROTO_INC_TRACE_H_



#include "graph/operator_reg.h"

#include "graph/types.h"



namespace ge {



/**

* @brief Returns the sum of the elements of the diagonal of the input 2-D matrix. \n



* @par Inputs:

* x: A Tensor. Must be one of the following types:complex128, complex64, float64, float32, float16, bool,

*                                                 int8, uint8, int16, uint16, int32, uint32, int64, uint64, bfloat16,.

\n



* @par Outputs:

* y: A Tensor. Must be one of the following types:complex128, complex64, float64, float32, float16, int64, uint64,

bfloat16. \n



* @par Third-party framework compatibility

* Compatible with the Pytorch operator Trace.

*/



#ifndef OPS_PROTO_DEF_TRACE

#define OPS_PROTO_DEF_TRACE

REG_OP(Trace)

    .INPUT(x, TensorType({DT_COMPLEX128, DT_COMPLEX64, DT_DOUBLE, DT_FLOAT, DT_FLOAT16, DT_BOOL, DT_INT8, DT_UINT8,

                          DT_INT16, DT_UINT16, DT_INT32, DT_UINT32, DT_INT64, DT_UINT64, DT_BF16}))

    .OUTPUT(y, TensorType({DT_COMPLEX128, DT_COMPLEX64, DT_DOUBLE, DT_FLOAT, DT_FLOAT16, DT_INT64, DT_UINT64, DT_BF16}))

    .OP_END_FACTORY_REG(Trace)

#endif



} // namespace ge



#endif // OPS_OP_PROTO_INC_TRACE_H_