class_docstr: A table that can store Tensors or nested Tensors.
class_docstr_tok: ["A","table","that","can","store","Tensors","or","nested","Tensors","."]
code: def variables(self):
      return tf.nest.flatten(self._storage)
  
file_path: agents/tf_agents/replay_buffers/table.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  from tf_agents.utils import common
label_desc: Use image node_id 3 for calling the Table obj's underlying member method code with example usage: obj.variables() and returns: tf