class_docstr: GraphIndependent with MLP edge, node, and global models.
class_docstr_tok: ["GraphIndependent","with","MLP","edge",",","node",",","and","global","models","."]
code: def __call__(self, inputs):
      return self._network(inputs)
  
file_path: graph_nets/graph_nets/demos_tf2/models.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from graph_nets import modules
  from graph_nets import utils_tf
  from six.moves import range
  import sonnet
label_desc: Use image node_id 2 for calling the MLPGraphIndependent obj's underlying member method code with example usage: obj.__call__(inputs) and returns: self