code: def _define_input(self):
      self.seq_len = tf.placeholder(
          tf.int32, [None], "seq_len"
      )  # length of each sequence, shape = [batch_size, ]
  
      self.input_seq = tf.placeholder(
          tf.int32, [None, self.num_steps], "input_seq"
      )
  
imports: import tensorflow
  from tensorflow.contrib import rnn
  from tensorflow.python.ops import array_ops
  from ..models.basic_model import BasicModel
  import numpy
  import os
label_desc: Use image node_id 4 for calling the EncoderNet obj's underlying member method code with example usage: obj._define_input() without return types