code: def matrix_transpose(
      x: torch.Tensor,
      /,
      *,
      conjugate: bool = False,
      out: Optional[torch.Tensor] = None,
  ) -> torch.Tensor:
      if conjugate:
          x = torch.conj(x)
      return torch.swapaxes(x, -1, -2)
  
imports: import torch
  from typing import Union, Optional, Tuple, Literal, List, NamedTuple, Sequence
  from collections import namedtuple
  import ivy
  from ivy import inf
  from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
  from .None import backend_version
  from .elementwise import _cast_for_unary_op
label_desc: Use image node_id 14 for calling a global function with example usage: matrix_transpose() and returns: torch