* 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 math_proto_stub.cpp
* \brief
*/
#include "graph/operator_reg.h"
#include "register/op_impl_registry.h"
namespace ge {
* @brief Permutes the dimensions according to perm.
The returned tensor's dimension i will correspond to the input dimension perm[i].
* @par Inputs:
* Two inputs, including:
* @li x: A Tensor. Must be one of the following types:
* bfloat16, float16, float32, double, int64, int32, uint8, uint16, uint32, uint64, int8,
* int16, complex32, complex64, complex128, qint8, quint8, qint16, quint16, qint32, bool, hifloat8, float8_e5m2,
* float8_e4m3fn, and the maximum dimension should not exceed 8 dimensions,
* and the shape should be consistent with output.
* @li perm: A Tensor of type int32 or int64. A permutation of the dimensions of "x", the value
* should be within the range of [0, number of dimensions for self -1].
* @par Outputs:
* y: A Tensor. Has the same type as "x".
* @par Third-party framework compatibility
* Compatible with the TensorFlow operator Transpose.
*/
REG_OP(Transpose)
.INPUT(x, TensorType({DT_BF16, DT_FLOAT16, DT_FLOAT, DT_DOUBLE, DT_INT64, DT_INT32,
DT_UINT8, DT_UINT16, DT_UINT32, DT_UINT64, DT_INT8, DT_INT16,
DT_COMPLEX32, DT_COMPLEX64, DT_COMPLEX128, DT_QINT8, DT_QUINT8,
DT_QINT16, DT_QUINT16, DT_QINT32, DT_BOOL, DT_HIFLOAT8, DT_FLOAT8_E5M2,
DT_FLOAT8_E4M3FN}))
.INPUT(perm, TensorType::IndexNumberType())
.OUTPUT(y, TensorType({DT_BF16, DT_FLOAT16, DT_FLOAT, DT_DOUBLE, DT_INT64, DT_INT32,
DT_UINT8, DT_UINT16, DT_UINT32, DT_UINT64, DT_INT8, DT_INT16,
DT_COMPLEX32, DT_COMPLEX64, DT_COMPLEX128, DT_QINT8, DT_QUINT8,
DT_QINT16, DT_QUINT16, DT_QINT32, DT_BOOL, DT_HIFLOAT8, DT_FLOAT8_E5M2,
DT_FLOAT8_E4M3FN}))
.OP_END_FACTORY_REG(Transpose)
}
