code: def _get_tensor_ranges(graph):
      """Lookup overrides for `Tensor`s  or `SparseTensor`s."""
      tensors = graph.get_collection(_TF_METADATA_TENSOR_COLLECTION)
      min_values = graph.get_collection(
          _TF_METADATA_TENSOR_MIN_COLLECTION
      )
      max_values = graph.get_collection(
          _TF_METADATA_TENSOR_MAX_COLLECTION
      )
      assert len(tensors) == len(min_values), "{} != {}".format(
          tensors, min_values
      )
      assert len(tensors) == len(max_values), "{} != {}".format(
          tensors, max_values
      )
      return dict(
          zip(
              map(tf_utils.hashable_tensor_or_op, tensors),
              zip(min_values, max_values),
          )
      )
  
imports: import collections
  import itertools
  from typing import Any, Callable, Dict, Iterable, List, Mapping, Optional, Tuple, Union
  from absl import logging
  import tensorflow
  from tensorflow_transform import common
  from tensorflow_transform import common_types
  from tensorflow_transform import graph_context
  from tensorflow_transform import tf2_utils
  from tensorflow_transform import tf_utils
  from tensorflow_transform.saved import saved_transform_io_v2
  from tensorflow_transform.tf_metadata import schema_utils
  from tfx_bsl.tfxio import tensor_representation_util
  from google.protobuf import any_pb2
  from tensorflow.python.eager import function
  from tensorflow.python.framework import ops
  from tensorflow_metadata.proto.v0 import schema_pb2
label_desc: Use image node_id 9 for calling a global function with example usage: _get_tensor_ranges(graph) and returns: dict