code: def get_input_args(
      x: tp.Union[
          np.ndarray, jnp.ndarray, tp.Dict[str, tp.Any], tp.Tuple
      ],
      *,
      model: tx.Module,
      initializing: bool,
      training: bool,
  ) -> tp.Tuple[tp.Tuple, tp.Dict[str, tp.Any]]:
      if isinstance(x, tp.Tuple):
          args = x
          kwargs = {}
      elif isinstance(x, tp.Dict):
          args = ()
          kwargs = x
      else:
          args = (x,)
          kwargs = {}
  
      apply_kwargs = dict(
          model=model,
          initializing=initializing,
          training=training,
      )
      apply_kwargs.update(kwargs)
  
      return args, apply_kwargs
  
imports: import enum
  import functools
  import hashlib
  import inspect
  import io
  import os
  import re
  import shutil
  import sys
  import typing
  import urllib
  from functools import total_ordering
  import jax
  import jax.numpy
  import jax.tree_util
  import numpy
  import treex
  from elegy import types
label_desc: Use image node_id 7 for calling a global function with example usage: get_input_args(x) and returns: args,  apply_kwargs