code: def _shard_alike_batcher(batched_args, batch_dims):
      x, y = batched_args
      xd, yd = batch_dims
      if xd == yd:
          return shard_alike(x, y), (xd, yd)
      elif xd is batching.not_mapped:
          x = batching.broadcast(x, y.shape[yd], yd)
          return shard_alike(x, y), (yd, yd)
      elif yd is batching.not_mapped:
          y = batching.broadcast(y, x.shape[xd], xd)
          return shard_alike(x, y), (xd, xd)
      else:
          y = batching.moveaxis(y, yd, xd)
          return shard_alike(x, y), (xd, xd)
  
file_path: jax/jax/_src/shard_alike.py
imports: from functools import partial
  import itertools
  from jax._src import core
  from jax._src.interpreters import ad
  from jax._src.interpreters import mlir
  from jax._src.dispatch import apply_primitive
  from jax._src.tree_util import tree_flatten, tree_unflatten
  from jax._src.interpreters import batching
  from jax._src.util import safe_zip
  from jax._src.lib import xla_client
  from jax._src.api_util import shaped_abstractify
  from jax._src.lib.mlir import ir
label_desc: Use image node_id 3 for calling a global function with example usage: _shard_alike_batcher(batched_args, batch_dims) and returns: shard_alike,  xd,  yd, shard_alike,  yd,  yd, shard_alike,  xd,  xd, shard_alike,  xd,  xd