code: def _static_tensordot(
      x1: Union[ivy.Array, ivy.NativeArray, ivy.Container],
      x2: Union[ivy.Array, ivy.NativeArray, ivy.Container],
      /,
      *,
      axes: Union[int, Tuple[List[int], List[int]], ivy.Container] = 2,
      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:
      return ContainerBase.cont_multi_map_in_function(
          "tensordot",
          x1,
          x2,
          axes=axes,
          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 43 for calling the _ContainerWithLinearAlgebra obj's underlying member method code with example usage: obj._static_tensordot() and returns: ContainerBase