code: def csv_input_fn(csv_path, batch_size):
      # Create a dataset containing the text lines.
      dataset = tf.data.TextLineDataset(csv_path).skip(1)
  
      # Parse each line.
      dataset = dataset.map(_parse_line)
  
      # Shuffle, repeat, and batch the examples.
      dataset = dataset.shuffle(1000).repeat().batch(batch_size)
  
      # Return the dataset.
      return dataset
  
file_path: auptimizer/Examples/tf_iris_diff_opt/iris_data.py
imports: import pandas
  import tensorflow
label_desc: Use image node_id 6 for calling a global function with example usage: csv_input_fn(csv_path, batch_size) and returns: dataset