* 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 rsqrt_grad_proto.h
* \brief
*/
#ifndef OPS_OP_PROTO_INC_RSQRT_GRAD_H_
#define OPS_OP_PROTO_INC_RSQRT_GRAD_H_
#include "graph/operator_reg.h"
#include "graph/types.h"
namespace ge {
* @brief Computes the backpropagation of the square root operation.
* @par Inputs:
* Two inputs, including:
* @li y: An NCHW, NHWC, ND tensor. Support 1D ~ 8D. Must be one of the following types:
* float, int32, int8, double, complex64, complex128, float16, bfloat16.
* @li dy: A ND tensor of the same dtype, shape and format as "y".
* @par Outputs:
* z: A ND tensor of the same dtype, shape and format as "y".
* @see Matmul() | Rsqrt ()
* @par Third-party framework compatibility
* Compatible with the TensorFlow operator RsqrtGrad.
*/
REG_OP(RsqrtGrad)
.INPUT(y, TensorType({UnaryDataType, DT_INT32, DT_INT8, DT_BF16}))
.INPUT(dy, TensorType({UnaryDataType, DT_INT32, DT_INT8, DT_BF16}))
.OUTPUT(z, TensorType({UnaryDataType, DT_INT32, DT_INT8, DT_BF16}))
.OP_END_FACTORY_REG(RsqrtGrad)
}
#endif
