* 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 is_nan_proto.h
* \brief
*/
#ifndef OPS_OP_PROTO_INC_IS_NAN_H_
#define OPS_OP_PROTO_INC_IS_NAN_H_
#include "graph/operator_reg.h"
#include "graph/types.h"
namespace ge {
* @brief Returns which elements of x are NaN.
* @par Inputs:
* x: A Tensor, Format is ND, Support 1D ~ 8D.
* Type must be one of the following types: float16, bfloat16, float32, double.
* @par Outputs:
* y: A Tensor of type bool, shape is same as x. Returns which elements of x are isnan
* @par Third-party framework compatibility.
* Compatible with tensorflow IsNan operator.
*/
REG_OP(IsNan)
.INPUT(x, TensorType({DT_FLOAT16, DT_BF16, DT_FLOAT, DT_DOUBLE}))
.OUTPUT(y, TensorType({DT_BOOL}))
.OP_END_FACTORY_REG(IsNan)
}
#endif
