class_docstr: Implementation for working with TF2.x Graph Mode.
docstr: Refill the FeedDict with the numeric fn args and kwargs.
  
  Use the index populated in _ph_feed_index to quickly assign the right
    argument to the right placeholder.
docstr_tok: ["Refill","the","FeedDict","with","the","numeric","fn","args","and","kwargs",".","Use","the","index","populated","in","_ph_feed_index","to","quickly","assign","the","right","argument","to","the","right","placeholder","."]
code: def _refill_fd(self, *args, **kwargs):
      """
      Refill the FeedDict with the numeric fn args and kwargs.
  
      Use the index populated in _ph_feed_index to quickly assign the right
        argument to the right placeholder.
      """
      fd = {}
      for ph, index in self._ph_feed_index.items():
          if isinstance(index, int):
              fd[ph] = args[index]
          else:
              fd[ph] = kwargs[index]
      return fd
  
imports: import atexit
  import os
  from collections import namedtuple
  import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.util import tf_contextlib
  from autodist.cluster import Cluster, SSHCluster
  from autodist.const import ENV
  from autodist.coordinator import Coordinator
  from autodist.graph_item import GraphItem
  from autodist.kernel.device.resolver import DeviceResolver
  from autodist.kernel.graph_transformer import GraphTransformer
  from autodist.patch import PatchTensorFlow
  from autodist.remapper import Remapper
  from autodist.resource_spec import ResourceSpec
  from autodist.runner import WrappedSession
  from autodist.strategy import base
  from autodist.strategy.ps_lb_strategy import PSLoadBalancing
  from autodist.utils import logging
label_desc: Use image node_id 3 for calling the _V2Graph obj's underlying member method code with example usage: obj._refill_fd() and returns: fd