code: def ltg_batcher(
      insert_axis,
      spmd_axis_name,
      axis_size,
      axis_name,
      main_type,
      vals_in,
      dims_in,
      global_mesh,
      pspec,
  ):
      (x,) = vals_in
      (d,) = dims_in
      new_parts = None if spmd_axis_name is None else spmd_axis_name
      new_pspec = list(pspec)
      new_pspec.insert(d, new_parts)
      new_pspec = P(*new_pspec)  # type: ignore
      y = host_local_array_to_global_array_p.bind(
          x, global_mesh=global_mesh, pspec=new_pspec
      )
      return y, d
  
imports: from __future__ import annotations
  from functools import partial, lru_cache
  from typing import Optional
  import zlib
  from typing import Any
  import jax
  import jax.numpy
  from jax.tree_util import tree_flatten, tree_map, tree_unflatten
  from jax._src import core
  from jax._src.interpreters import ad
  from jax._src.interpreters import batching
  from jax._src.interpreters import mlir
  from jax._src import array
  from jax._src import sharding_impls
  from jax._src.interpreters import pxla
  from jax.interpreters import xla
  from jax._src import pjit
  from jax.experimental.pjit import pjit
  from jax.sharding import PartitionSpec
  from jax._src import distributed
  from jax._src.util import safe_zip
  import numpy
label_desc: Use image node_id 15 for calling a global function with example usage: ltg_batcher(insert_axis, spmd_axis_name, axis_size, axis_name, main_type, vals_in, dims_in, global_mesh, pspec) and returns: y,  d