* 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.
*/
* \file diag_proto.h
* \brief
*/
#ifndef OPS_CONVERSION_DIAG_GRAPH_PLUGIN_DIAG_PROTO_H_
#define OPS_CONVERSION_DIAG_GRAPH_PLUGIN_DIAG_PROTO_H_
#include "graph/operator_reg.h"
namespace ge {
* @brief Create a diagonal tensor
* @par Inputs:
* One input, include:
* x: A mutable Tensor with rank k, where k is at most 4. Must be one of the Must be one of the following types:
* bfloat16, float16, float32, double, int32, int64, complex64, complex128. Supported format list ["ND"]. \n
* Note: bfloat16 is only supported on Ascend950PR/Ascend950DT.
* @par Outputs:
* y: A mutable Tensor. Has the same type as "x". Supported format list ["ND"]. \n
* @par Third-party framework compatibility
* Compatible with the TensorFlow operator Diag.
*/
REG_OP(Diag)
.INPUT(x, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE, DT_BF16, DT_INT32, DT_INT64, DT_COMPLEX64, DT_COMPLEX128}))
.OUTPUT(y, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE, DT_BF16, DT_INT32, DT_INT64, DT_COMPLEX64, DT_COMPLEX128}))
.OP_END_FACTORY_REG(Diag)
}
#endif
