* 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 adjacent_difference_proto.h
* \brief
*/
#ifndef OPS_OP_PROTO_INC_ADJACENT_DIFFERENCE_H_
#define OPS_OP_PROTO_INC_ADJACENT_DIFFERENCE_H_
#include "graph/operator_reg.h"
#include "graph/types.h"
namespace ge {
*@brief Compare two consecutive values in input tensor, if they are equal, return 0; otherwise, return 1. \n
* y[0] = 0;\n
* y[i] = x[i] == x[i - 1] ? 0 : 1;
*
*@par Inputs:
*Inputs include:
* x: A tensor. Dtype support: float16, float, bfloat16, int16, int8, int32, int64, uint8, uint32,
uint16, uint64, support format: [ND].
*
*@par Outputs:
* y: A tensor. Must have the same shpae as x, dtype support int32, int64. Support format: [ND].
*
*@par Attributes:
* y_dtype: The output type, either "DT_INT32(3)" or "DT_INT64(9)". Defaults to "DT_INT32(3)".
*/
REG_OP(AdjacentDifference)
.INPUT(x, TensorType({DT_FLOAT16, DT_FLOAT, DT_BF16, DT_INT8, DT_INT16, DT_INT32, DT_INT64,
DT_UINT8, DT_UINT16, DT_UINT32, DT_UINT64}))
.OUTPUT(y, TensorType({DT_INT32, DT_INT64}))
.ATTR(y_dtype, Int, DT_INT32)
.OP_END_FACTORY_REG(AdjacentDifference)
}
#endif
