code: def diag(
      x: torch.Tensor,
      /,
      *,
      k: int = 0,
      out: Optional[torch.Tensor] = None,
  ) -> torch.tensor:
      return torch.diag(x, diagonal=k)
  
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 27 for calling a global function with example usage: diag() and returns: torch