code: def positions_for(tokens, past_length):
      batch_size = tf.shape(input=tokens)[0]
      nsteps = tf.shape(input=tokens)[1]
      return expand_tile(past_length + tf.range(nsteps), batch_size)
  
imports: import numpy
  import tensorflow
label_desc: Use image node_id 15 for calling a global function with example usage: positions_for(tokens, past_length) and returns: expand_tile