* This program is free software, you can redistribute it and/or modify it.
* Copyright (c) 2025 Huawei Technologies Co., Ltd.
* This file is a part of the CANN Open Software.
* Licensed under 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.
* The code snippet comes from Huawei's open-source Mindspore project.
* Copyright 2019-2020 Huawei Technologies Co., Ltd.
* Licensed under the Apache License, Version 2.0 (the "License");
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*/
#ifndef RIGHT_SHIFT_PROTO_H
#define RIGHT_SHIFT_PROTO_H
#include "graph/operator.h"
#include "graph/operator_reg.h"
namespace ge {
*@brief Element-wise computes the bitwise right-shift of x and y . \n
*@par Inputs:
*Input "x" is a k-dimensional tensor. Inputs "num_lower" and "num_upper"
are 0D scalars.
* @li x: A Tensor. Must be one of the following types: int8, int16, int32,
int64, uint8, uint16, uint32, uint64.
* @li y: A Tensor. Has the same type as "x". \n
*@par Outputs:
* z: A Tensor. Has the same type as "x". \n
*@attention Constraints:
*Unique runs on the Ascend AI CPU, which delivers poor performance. \n
*@par Third-party framework compatibility
*Compatible with the TensorFlow operator RightShift.
*/
REG_OP(RightShift)
.INPUT(x, TensorType({DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_UINT8, DT_UINT16, DT_UINT32, DT_UINT64}))
.INPUT(y, TensorType({DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_UINT8, DT_UINT16, DT_UINT32, DT_UINT64}))
.OUTPUT(z, TensorType({DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_UINT8, DT_UINT16, DT_UINT32, DT_UINT64}))
.OP_END_FACTORY_REG(RightShift)
}
#endif
