* 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.
*/
#ifndef OPS_BUILT_IN_OP_PROTO_INC_SPLIT_COMBINATION_OPS_H_
#define OPS_BUILT_IN_OP_PROTO_INC_SPLIT_COMBINATION_OPS_H_
#include "graph/operator_reg.h"
namespace ge {
* @brief Splits a tensor along dimension "split_dim" into "num_split" smaller tensors .
* @par Inputs:
* Two inputs, including:
* @li split_dim: Must be the following type:int32. Specifies the dimension along which to split.
Supported format list ["ND"].
* @li x: An ND Tensor.
* Must be one of the types:float16, float32, double, int64, int32, uint8,
uint16, uint32, uint64, int8, int16, bool, complex64, complex128, qint8,
quint8, qint16, quint16, qint32, bfloat16.Supported format list ["ND"].
* @par Attributes:
* @li num_split: A required int includes all types of int.
Specifies the number of output tensors. No default value.
* @par Outputs:
* @li y: Dynamic output.A list of output tensors. Has the same type and format as "x".Supported format list ["ND"].
* @attention Constraints:
* @li "num_split" is greater than or equals to 1.
* @li "num_split" is divisible by the size of dimension "split_dim".
* @li "split_dim" is in the range [-len(x.shape), len(x.shape)-1].
* @par Third-party framework compatibility
* Compatible with the TensorFlow operator Split.
*/
REG_OP(Split)
.INPUT(split_dim, TensorType({DT_INT32}))
.INPUT(x, TensorType({DT_COMPLEX128, DT_COMPLEX64, DT_DOUBLE, DT_FLOAT, DT_FLOAT16, DT_INT16,
DT_INT32, DT_INT64, DT_INT8, DT_QINT16, DT_QINT32, DT_QINT8,
DT_QUINT16, DT_QUINT8, DT_UINT16, DT_UINT32, DT_UINT64, DT_UINT8,
DT_BF16, DT_BOOL}))
.DYNAMIC_OUTPUT(y, TensorType({DT_COMPLEX128, DT_COMPLEX64, DT_DOUBLE, DT_FLOAT, DT_FLOAT16, DT_INT16,
DT_INT32, DT_INT64, DT_INT8, DT_QINT16, DT_QINT32, DT_QINT8,
DT_QUINT16, DT_QUINT8, DT_UINT16, DT_UINT32, DT_UINT64, DT_UINT8,
DT_BF16, DT_BOOL}))
.REQUIRED_ATTR(num_split, Int)
.OP_END_FACTORY_REG(Split)
}
#endif
