code: def tensordot(
      x1: ArrayLike,
      x2: ArrayLike,
      /,
      *,
      axes: int | tuple[Sequence[int], Sequence[int]] = 2,
  ) -> Array:
      check_arraylike("jnp.linalg.tensordot", x1, x2)
      return jnp.tensordot(x1, x2, axes=axes)
  
imports: from __future__ import annotations
  from collections.abc import Sequence
  from functools import partial
  import numpy
  import textwrap
  import operator
  from typing import Literal, cast, overload
  import jax
  from jax import jit, custom_jvp
  from jax import lax
  from jax._src.lax import lax
  from jax._src.lax import linalg
  from jax._src.numpy import lax_numpy
  from jax._src.numpy import reductions, ufuncs
  from jax._src.numpy.util import _wraps, promote_dtypes_inexact, check_arraylike
  from jax._src.util import canonicalize_axis
  from jax._src.typing import ArrayLike, Array
label_desc: Use image node_id 42 for calling a global function with example usage: tensordot() and returns: jnp