class_docstr: Handles a SavedModel exported using TF 1.x APIs in TF 2.x.
class_docstr_tok: ["Handles","a","SavedModel","exported","using","TF","1.x","APIs","in","TF","2.x","."]
docstr: Returns set of tensors that will be fed.
docstr_tok: ["Returns","set","of","tensors","that","will","be","fed","."]
code: def _get_feeds(
      self, unfed_input_keys: Iterable[str]
  ) -> Iterable[tf.Tensor]:
      """Returns set of tensors that will be fed."""
      result = object_identity.ObjectIdentitySet(
          self._func_graph.inputs
      )
      for input_key in unfed_input_keys:
          unfed_input_components = _get_component_tensors(
              self._structured_inputs[input_key]
          )
          result = result.difference(unfed_input_components)
      return result
  
imports: from typing import Any, Dict, Iterable, Mapping, Tuple, Union
  import tensorflow
  from tensorflow_transform import annotators
  from tensorflow_transform import common_types
  from tensorflow_transform import graph_tools
  from tensorflow_transform import tf2_utils
  from tensorflow_transform import tf_utils
  from tensorflow_transform.py_func import pyfunc_helper
  from tensorflow_transform.saved import constants
  from tensorflow_transform.saved import saved_model_loader
  from tensorflow_transform.saved import saved_transform_io
  from tensorflow.python.eager import function
  from tensorflow.python.eager import wrap_function
  from tensorflow.python.framework import composite_tensor
  from tensorflow.python.ops import lookup_ops
  from tensorflow.python.util import object_identity
label_desc: Use image node_id 5 for calling the SavedModelLoader obj's underlying member method code with example usage: obj._get_feeds(unfed_input_keys) and returns: result