class_docstr: Adam with SGD updates every n steps with accumulated gradients.
class_docstr_tok: ["Adam","with","SGD","updates","every","n","steps","with","accumulated","gradients","."]
code: def _get_iter_variable(self):
      graph = None if tf.executing_eagerly() else tf.get_default_graph()
      return self._get_non_slot_variable("iter", graph=graph)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow.compat.v1
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.training import training_ops
label_desc: Use image node_id 4 for calling the MultistepAdamOptimizer obj's underlying member method code with example usage: obj._get_iter_variable() and returns: self