class_docstr: Holds a Tensor which a tf.function can capture.
  
  `CapturableResource`s are discovered by traversing the graph of object
  attributes, e.g. during `tf.saved_model.save`. They are excluded from the
  scope-based tracking of `TrackableResource`; generally things that require
  initialization should inherit from `TrackableResource` instead of
  `CapturableResource` directly.
code: def _resource_handle(self):
      return self._resource_handle_value
  
imports: import contextlib
  import copy
  import weakref
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.trackable import base
  from tensorflow.python.util import tf_contextlib
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 6 for calling the CapturableResource obj's underlying member method code with example usage: obj._resource_handle() and returns: self