class_docstr: Manages placeholders associated with batch of graphs and their topology
docstr: All placeholders.
  
  Contains atom_features placeholder and topology placeholders.
docstr_tok: ["All","placeholders",".","Contains","atom_features","placeholder","and","topology","placeholders","."]
code: def get_input_placeholders(self):
      """All placeholders.
  
      Contains atom_features placeholder and topology placeholders.
      """
      return self.inputs
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import unicode_literals
  import warnings
  import numpy
  import tensorflow
  from deepchem.nn.copy import Input
  from deepchem.feat.mol_graphs import ConvMol
label_desc: Use image node_id 2 for calling the GraphTopology obj's underlying member method code with example usage: obj.get_input_placeholders() and returns: self