code: def create_feed_dict(self, inputs):
      feed_dict = {}
      for input_name, input_value in inputs.items():
          if isinstance(input_name, str):
              if input_name not in self.inputs:
                  raise ValueError(
                      (
                          "input name {input_name} was provided to create a feed "
                          "dictionary, but there is no placeholder with that name. "
                          "placeholder names available include: {placeholder_names}"
                      ).format(
                          input_name=input_name,
                          placeholder_names=", ".join(
                              self.inputs.keys()
                          ),
                      )
                  )
  
              feed_dict[self.inputs[input_name]] = input_value
          elif (
              isinstance(input_name, tf.Tensor)
              and input_name.op.type == "Placeholder"
          ):
              feed_dict[input_name] = input_value
          else:
              raise ValueError(
                  (
                      "input dictionary expects strings or placeholders as keys, "
                      "but found key {key} of type {type}"
                  ).format(
                      key=input_name,
                      type=type(input_name),
                  )
              )
  
      return feed_dict
  
imports: import os
  import time
  from typing import Any, List, Tuple, Dict
  import numpy
  import tensorflow
  from rl_coach.architectures.architecture import Architecture
  from rl_coach.architectures.tensorflow_components.savers import GlobalVariableSaver
  from rl_coach.base_parameters import AgentParameters, DistributedTaskParameters
  from rl_coach.core_types import GradientClippingMethod
  from rl_coach.saver import SaverCollection
  from rl_coach.spaces import SpacesDefinition
  from rl_coach.utils import force_list, squeeze_list, start_shell_command_and_wait
label_desc: Use image node_id 12 for calling the TensorFlowArchitecture obj's underlying member method code with example usage: obj.create_feed_dict(inputs) and returns: feed_dict