code: def RandomInputs(batch_size, seq_length, num_inputs):
      """Returns randomly initialized (x_seq, pad_seq) sequences."""
      x_seq = []
      pad_seq = []
      with ops.name_scope("inputs"):
          for seq in range(seq_length):
              x_seq.append(
                  RandomVar(
                      [batch_size, num_inputs], name="x_seq_%d" % seq
                  )
              )
              # Real padding values are always a sequence of 0 followed by a
              # sequence of 1, but random values are fine for benchmarking.
              pad_seq.append(
                  RandomVar([batch_size, 1], name="pad_seq_%d" % seq)
              )
      return x_seq, pad_seq
  
file_path: tensorflow/tensorflow/compiler/tests/lstm.py
imports: from six.moves import range
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import variable_v1
label_desc: Use image node_id 6 for calling a global function with example usage: RandomInputs(batch_size, seq_length, num_inputs) and returns: x_seq,  pad_seq