/**
 * 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 acosh_grad_proto.h
 * \brief AcoshGrad GE IR 图模式注册
 */
#ifndef OPS_OP_PROTO_INC_ACOSHGRAD_H_
#define OPS_OP_PROTO_INC_ACOSHGRAD_H_

#include "graph/operator_reg.h"
#include "graph/types.h"

namespace ge {

/**
 *@brief AcoshGrad: z = dy / sqrt(y² - 1), reverse gradient of acosh.
 *@par Inputs:
 *Two inputs:
 * @li y: A Tensor. Must be float16, bfloat16, or float32. Original input of forward acosh, domain ≥ 1.
 * @li dy: A Tensor. Must be float16, bfloat16, or float32. Upstream gradient, same shape/dtype as y.
 *
 *@par Outputs:
 *z: A Tensor. Must be float16, bfloat16, or float32. Reverse gradient, same shape/dtype as y.
 *
 *@par Third-party framework compatibility:
 *Compatible with TensorFlow AcoshGrad.
 */
REG_OP(AcoshGrad)
    .INPUT(y, TensorType({DT_FLOAT16, DT_BF16, DT_FLOAT}))
    .INPUT(dy, TensorType({DT_FLOAT16, DT_BF16, DT_FLOAT}))
    .OUTPUT(z, TensorType({DT_FLOAT16, DT_BF16, DT_FLOAT}))
    .OP_END_FACTORY_REG(AcoshGrad)

} // namespace ge

#endif // OPS_OP_PROTO_INC_ACOSHGRAD_H_