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"]
code: def get_bsz(self, x, nsteps):
      if x is None:
          return [None for b in range(self.be.bsz)]
      xs = x.reshape(-1, nsteps, self.be.bsz)
      return [xs[:, :, b] for b in range(self.be.bsz)]
  
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 6 for calling the SentenceHomogenous obj's underlying member method code with example usage: obj.get_bsz(x, nsteps) and returns: unknown, unknown