class_docstr: A patched tf.learn Experiment class to handle GPU memory
  sharing issues.
class_docstr_tok: ["A","patched","tf.learn","Experiment","class","to","handle","GPU","memory","sharing","issues","."]
code: def __init__(self, train_steps_per_iteration=None, *args, **kwargs):
      super(Experiment, self).__init__(*args, **kwargs)
      self._train_steps_per_iteration = train_steps_per_iteration
  
imports: import tensorflow
label_desc: Use image node_id 1 to create a new Experiment object from inherited base classes: tf.contrib.learn with example: obj = Experiment(train_steps_per_iteration)