code: def _define_inputs(self):
      shape = [None]
      shape.extend(self.data_shape)
      self.images = tf.placeholder(
          tf.float32, shape=shape, name="input_images"
      )
      self.labels = tf.placeholder(
          tf.float32, shape=[None, self.n_classes], name="labels"
      )
      self.learning_rate = tf.placeholder(
          tf.float32, shape=[], name="learning_rate"
      )
      self.is_training = tf.placeholder(
          tf.bool, shape=[], name="is_training"
      )
  
imports: import os
  import shutil
  import tensorflow
  import numpy
  import time
  from datetime import timedelta
  import json
  import pickle
label_desc: Use image node_id 5 for calling the BasicModel obj's underlying member method code with example usage: obj._define_inputs() without return types