code: def as_strided(
      x: np.ndarray,
      shape: Union[ivy.NativeShape, Sequence[int]],
      strides: Sequence[int],
      /,
  ) -> np.ndarray:
      return np.lib.stride_tricks.as_strided(
          x,
          shape=shape,
          strides=strides,
      )
  
imports: import math
  from numbers import Number
  from typing import Union, Tuple, Optional, List, Sequence
  import numpy
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  from .None import backend_version
label_desc: Use image node_id 18 for calling a global function with example usage: as_strided() and returns: np