* 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 ndtri_proto.h
* \brief
*/
#ifndef OP_PROTO_NDTRI_PROTO_H_
#define OP_PROTO_NDTRI_PROTO_H_
#include "graph/operator_reg.h"
namespace ge
{
*@brief Computes ndtri element-wise (y = sqrt(2) * erfinv(2 * x - 1)).
* @par Inputs:
* One input, including:
* x: An ND Tensor. Support 1D~8D. Must be one of the following types:
* bfloat16, float16, float32, double.
* @par Outputs:
* y: An ND Tensor. Has the same dtype as "x".
* @par Implementation notes
* On Ascend 950 (arch35) the aicore kernel currently implements
* {bfloat16, float16, float32} only. DT_DOUBLE is declared in the
* proto for future host fallback / aicpu compatibility.
* @par Third-party framework compatibility:
* Compatible with the TensorFlow operator Ndtri and torch.special.ndtri.
*/
REG_OP(Ndtri)
.INPUT(x, "T")
.OUTPUT(y, "T")
.DATATYPE(T, TensorType({DT_BF16, DT_FLOAT16, DT_FLOAT, DT_DOUBLE}))
.OP_END_FACTORY_REG(Ndtri)
}
#endif
