class_docstr: This class defines an iterator for loading and iterating the sentences in
  a structure to train the skip-thought vectors
class_docstr_tok: ["This","class","defines","an","iterator","for","loading","and","iterating","the","sentences","in","a","structure","to","train","the","skip-thought","vectors"]
docstr: Clear the buffers used to hold batches. 
docstr_tok: ["Clear","the","buffers","used","to","hold","batches","."]
code: def clear_device_buffer(self):
      """Clear the buffers used to hold batches."""
      if self.clear_list:
          [dev.fill(0) for dev in self.clear_list]
  
file_path: neon/examples/skip-thought/data_iterator.py
imports: from __future__ import division
  import numpy
  import h5py
  import copy
  from neon.data.dataiterator import NervanaDataIterator
label_desc: Use image node_id 5 for calling the SentenceHomogenous obj's underlying member method code with example usage: obj.clear_device_buffer() without return types