code: def load_data(data_dir="svhn/", one_hot=True):
      train_filepath = maybe_download(TRAIN_FILE, data_dir)
      test_filepath = maybe_download(TEST_FILE, data_dir)
      trainX, trainY = read_data_from_file(
          train_filepath, TRAIN_INSTANCES
      )
      testX, testY = read_data_from_file(test_filepath, TEST_INSTANCES)
      return trainX, trainY, testX, testY
  
file_path: tflearn/tflearn/datasets/svhn.py
imports: from __future__ import print_function
  import numpy
  import scipy.io
  from six.moves import urllib
  import os
label_desc: Use image node_id 1 for calling a global function with example usage: load_data(data_dir, one_hot) and returns: trainX,  trainY,  testX,  testY