code: def __call__(self, out_types, res_arg, lin_arg):
      _, res_tree = tree_flatten(res_arg)
      _, lin_tree = tree_flatten(lin_arg)
      args_flat, in_tree = tree_flatten((res_arg, lin_arg))
  
      # TODO(frostig,mattjj): check that out_trees match
      # TODO(frostig,mattjj): could, and should, we avoid flattening
      # self.fun at this point?
  
      flat_fun, out_tree2 = flatten_fun_nokwargs(
          lu.wrap_init(self.fun), in_tree
      )
      out_types_flat, out_tree = tree_flatten(out_types)
      out_flat = custom_transpose_p.bind(
          flat_fun,
          *args_flat,
          transpose=self.transpose,
          out_types=out_types_flat,
          lin_tree=lin_tree,
          res_tree=res_tree,
          out_tree=out_tree,
      )
      return tree_unflatten(out_tree, out_flat)
  
imports: from __future__ import annotations
  import functools
  from typing import Any, Callable
  from jax._src import ad_util
  from jax._src import api_util
  from jax._src import core
  from jax._src import custom_api_util
  from jax._src import linear_util
  from jax._src import source_info_util
  from jax._src import traceback_util
  from jax._src import util
  from jax._src.interpreters import ad
  from jax._src.interpreters import mlir
  from jax._src.interpreters import partial_eval
  from jax._src.interpreters import xla
  from jax._src.tree_util import tree_flatten, tree_leaves, tree_map, tree_structure, treedef_tuple, tree_unflatten
label_desc: Use image node_id 3 for calling the custom_transpose obj's underlying member method code with example usage: obj.__call__(out_types, res_arg, lin_arg) and returns: tree_unflatten