def ExtractWindows(self, d, centers, i):
    """Extracts window around the indices in 'centers' from d."""
    batchsize = centers.shape[1] 
    if batchsize != self.batches[i].shape[1]:
      self.AllocateBatchsizeDepedentMemory(batchsize)
    batch = self.batches[i]
    template = self.templates[i]
    batch_indices = self.batch_indices[i]
    window_size = self.window_sizes[i]
    numdims = self.numdim_list[i]

    batch_indices.reshape((window_size, batchsize))
    template.add_row_vec(centers, target=batch_indices)
    batch_indices.reshape((1, window_size * batchsize))
    batch.reshape((numdims, window_size * batchsize))
    d.select_columns(batch_indices, target=batch)
    batch.reshape((numdims * window_size, batchsize))
Extracts window around the indices in 'centers' from d.
deepnet/sequence_datahandler.py