* 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 diag_flat_proto.h
* \brief
*/
#ifndef OPS_CONVERSION_DIAG_FLAT_GRAPH_PLUGIN_DIAG_FLAT_PROTO_H_
#define OPS_CONVERSION_DIAG_FLAT_GRAPH_PLUGIN_DIAG_FLAT_PROTO_H_
#include "graph/operator_reg.h"
namespace ge {
* @brief Create a diagonal tensor
* @par Inputs:
* One input, include:
* x: A Tensor. Must be one of the
* following types:
* float16, float32, double, int8, int16,int32, int64, complex32, complex64, complex128.
* @par Attributes:
* @li diagonal: An optional int value. Defaults to 0, this attribute controls which diagonal to consider:
* If diagonal = 0, it is the main diagonal.
* If diagonal > 0, it is above the main diagonal.
* If diagonal < 0, it is below the main diagonal.
* @par Outputs:
* y: A mutable Tensor. Has the same type as "x".
* @see DiagFlat()
* @par Third-party framework compatibility
* Compatible with the TensorFlow operator Diag.
*/
REG_OP(DiagFlat)
.INPUT(x, "T")
.ATTR(diagonal, Int, 0)
.OUTPUT(y, "T")
.DATATYPE(T, TensorType({DT_FLOAT16, DT_BF16, DT_FLOAT, DT_DOUBLE,
DT_INT8, DT_INT16, DT_INT32, DT_INT64,
DT_UINT8, DT_UINT16, DT_UINT32, DT_UINT64,
DT_BOOL, DT_COMPLEX64}))
.OP_END_FACTORY_REG(DiagFlat)
}
#endif
