class_docstr: Holds variables for a python function.
class_docstr_tok: ["Holds","variables","for","a","python","function","."]
code: def variables(self):
      return self._variables_by_name
  
imports: import weakref
  from tensorflow.core.function.polymorphism import function_type
  from tensorflow.core.protobuf import meta_graph_pb2
  from tensorflow.core.protobuf import struct_pb2
  from tensorflow.python.eager import context
  from tensorflow.python.eager import function
  from tensorflow.python.eager import lift_to_graph
  from tensorflow.python.eager.polymorphic_function import atomic_function
  from tensorflow.python.framework import composite_tensor
  from tensorflow.python.framework import func_graph
  from tensorflow.python.framework import importer
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.saved_model import nested_structure_coder
  from tensorflow.python.trackable import data_structures
  from tensorflow.python.util import nest
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 2 for calling the VariableHolder obj's underlying member method code with example usage: obj.variables() and returns: self