docstr: ivy.Container instance method variant of ivy.cross. This method
  simply wraps the function, and so the docstring for ivy.cross also
  applies to this method with minimal changes.
  
  Parameters
  ----------
  self
      first input array. Should have a numeric data type.
  x2
      second input array. Must be compatible with ``self``
      (see :ref:`broadcasting`). Should have a numeric data type.
  axis
      the axis (dimension) of x1 and x2 containing the vectors for which to
      compute (default: -1) the cross product.vIf set to -1, the function
      computes the cross product for vectors defined by the last axis (dimension).
      Default: ``-1``.
  key_chains
      The key-chains to apply or not apply the method to. Default is ``None``.
  to_apply
      If True, the method will be applied to key_chains, otherwise key_chains
      will be skipped. Default is ``True``.
  prune_unapplied
      Whether to prune key_chains for which the function was not applied.
      Default is ``False``.
  map_sequences
      Whether to also map method to sequences (lists, tuples).
      Default is ``False``.
  out
      optional output container, for writing the result to. It must have a shape
      that the inputs broadcast to.
  
  Returns
  -------
  ret
      an array containing the element-wise products. The returned array must have
      a data type determined by :ref:`type-promotion`.
  
  Examples
  --------
  >>> x = ivy.Container(a=ivy.array([5., 0., 0.]), b=ivy.array([0., 0., 2.]))
  >>> y = ivy.Container(a=ivy.array([0., 7., 0.]), b=ivy.array([3., 0., 0.]))
  >>> z = x.cross(y)
  >>> print(z)
  {
      a: ivy.array([0., 0., 35.]),
      b: ivy.array([0., 6., 0.])
  }
code: def cross(
      self: ivy.Container,
      x2: Union[ivy.Container, ivy.Array, ivy.NativeArray],
      /,
      *,
      axis: Union[int, ivy.Container] = -1,
      key_chains: Optional[
          Union[List[str], Dict[str, str], ivy.Container]
      ] = None,
      to_apply: Union[bool, ivy.Container] = True,
      prune_unapplied: Union[bool, ivy.Container] = False,
      map_sequences: Union[bool, ivy.Container] = False,
      out: Optional[ivy.Container] = None,
  ) -> ivy.Container:
      """ivy.Container instance method variant of ivy.cross. This method
      simply wraps the function, and so the docstring for ivy.cross also
      applies to this method with minimal changes.
  
      Parameters
      ----------
      self
          first input array. Should have a numeric data type.
      x2
          second input array. Must be compatible with ``self``
          (see :ref:`broadcasting`). Should have a numeric data type.
      axis
          the axis (dimension) of x1 and x2 containing the vectors for which to
          compute (default: -1) the cross product.vIf set to -1, the function
          computes the cross product for vectors defined by the last axis (dimension).
          Default: ``-1``.
      key_chains
          The key-chains to apply or not apply the method to. Default is ``None``.
      to_apply
          If True, the method will be applied to key_chains, otherwise key_chains
          will be skipped. Default is ``True``.
      prune_unapplied
          Whether to prune key_chains for which the function was not applied.
          Default is ``False``.
      map_sequences
          Whether to also map method to sequences (lists, tuples).
          Default is ``False``.
      out
          optional output container, for writing the result to. It must have a shape
          that the inputs broadcast to.
  
      Returns
      -------
      ret
          an array containing the element-wise products. The returned array must have
          a data type determined by :ref:`type-promotion`.
  
      Examples
      --------
      >>> x = ivy.Container(a=ivy.array([5., 0., 0.]), b=ivy.array([0., 0., 2.]))
      >>> y = ivy.Container(a=ivy.array([0., 7., 0.]), b=ivy.array([3., 0., 0.]))
      >>> z = x.cross(y)
      >>> print(z)
      {
          a: ivy.array([0., 0., 35.]),
          b: ivy.array([0., 6., 0.])
      }
      """
      return self._static_cross(
          self,
          x2,
          axis=axis,
          key_chains=key_chains,
          to_apply=to_apply,
          prune_unapplied=prune_unapplied,
          map_sequences=map_sequences,
          out=out,
      )
  
imports: from typing import Union, Optional, Tuple, Literal, List, Dict, Sequence
  from ivy.data_classes.container.base import ContainerBase
  import ivy
label_desc: Use image node_id 6 for calling the _ContainerWithLinearAlgebra obj's underlying member method code with example usage: obj.cross() and returns: self