docstr: ivy.Container static method variant of ivy.matmul. This method
  simply wraps the function, and so the docstring for ivy.matul also
  applies to this method with minimal changes.
  
  Parameters
  ----------
  x1
      first input array
  x2
      second input array
  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
      the matrix multiplication result of x1 and x2
  
  Examples
  --------
  >>> x = ivy.Container(a = ivy.array([[3., -1.], [-1., 3.]]) ,
  ...                   b = ivy.array([[2., 1.], [1., 1.]]))
  >>> y = ivy.Container.static_matmul(x, x)
  >>> print(y)
  {
      a: ivy.array([[10., -6.],
                    [-6., 10.]]),
      b: ivy.array([[5., 3.],
                    [3., 2.]])
  }
code: def _static_matmul(
      x1: Union[ivy.Array, ivy.NativeArray, ivy.Container],
      x2: Union[ivy.Array, ivy.NativeArray, ivy.Container],
      /,
      *,
      transpose_a: Union[bool, ivy.Container] = False,
      transpose_b: Union[bool, ivy.Container] = False,
      adjoint_a: Union[bool, ivy.Container] = False,
      adjoint_b: Union[bool, ivy.Container] = False,
      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 static method variant of ivy.matmul. This method
      simply wraps the function, and so the docstring for ivy.matul also
      applies to this method with minimal changes.
  
      Parameters
      ----------
      x1
          first input array
      x2
          second input array
      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
          the matrix multiplication result of x1 and x2
  
      Examples
      --------
      >>> x = ivy.Container(a = ivy.array([[3., -1.], [-1., 3.]]) ,
      ...                   b = ivy.array([[2., 1.], [1., 1.]]))
      >>> y = ivy.Container.static_matmul(x, x)
      >>> print(y)
      {
          a: ivy.array([[10., -6.],
                        [-6., 10.]]),
          b: ivy.array([[5., 3.],
                        [3., 2.]])
      }
      """
      return ContainerBase.cont_multi_map_in_function(
          "matmul",
          x1,
          x2,
          transpose_a=transpose_a,
          transpose_b=transpose_b,
          adjoint_a=adjoint_a,
          adjoint_b=adjoint_b,
          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 1 for calling the _ContainerWithLinearAlgebra obj's underlying member method code with example usage: obj._static_matmul() and returns: ContainerBase