code: def shape(
      x: torch.Tensor,
      /,
      *,
      as_array: bool = False,
  ) -> Union[ivy.Shape, ivy.Array]:
      if as_array:
          return ivy.array(x.shape, dtype=ivy.default_int_dtype())
      else:
          return ivy.Shape(x.shape)
  
imports: from functools import reduce
  from numbers import Number
  from operator import mul
  from typing import Optional, Union, Sequence, Callable, List, Tuple
  import numpy
  import torch
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes, _update_torch_views
  from .None import backend_version, is_variable
  from ...ivy.general import _broadcast_to
label_desc: Use image node_id 24 for calling a global function with example usage: shape() and returns: ivy, ivy