* 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 attention_update_proto.h
* \brief
*/
#ifndef OPS_OP_PROTO_INC_ATTENTION_UPDATE_OPS_H_
#define OPS_OP_PROTO_INC_ATTENTION_UPDATE_OPS_H_
#include "graph/operator_reg.h"
namespace ge {
* @brief Function AttentionUpdate.
* @par Inputs:
* Two inputs, including:
* @li lse: Tensor list. Type is float32. The input of lse.
* @li go: Tensor list. Type is float32, float16, bfloat16. The input of attentionout.
* @par Outputs:
* Two outputs, including:
* @li output: A tensor. Type is float32, float16, bfloat16.
* @li lse_m: A tensor. Type is float32.
* @par Attributes:
* Two attributes, including:
* @li update_type: An int. The update type, value is 0 or 1. 0 means the output of lse_m is invalid, 1 means valid.
* @li sp: An int. The sp num, value is [1..16].
*/
REG_OP(AttentionUpdate)
.DYNAMIC_INPUT(lse, TensorType({DT_FLOAT}))
.DYNAMIC_INPUT(go, TensorType({DT_FLOAT, DT_FLOAT16, DT_BF16}))
.OUTPUT(output, TensorType({DT_FLOAT, DT_FLOAT16, DT_BF16}))
.OUTPUT(lse_m, TensorType({DT_FLOAT}))
.REQUIRED_ATTR(update_type, Int)
.REQUIRED_ATTR(sp, Int)
.OP_END_FACTORY_REG(AttentionUpdate)
}
#endif
