# Copyright 2015 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """Downloads and extracts the binary version of the CIFAR-10 dataset.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import argparse import os import sys import tarfile from six.moves import urllib import tensorflow as tf DATA_URL = 'https://www.cs.toronto.edu/~kriz/cifar-10-binary.tar.gz' parser = argparse.ArgumentParser() parser.add_argument( '--data_dir', type=str, default='/tmp/cifar10_data', help='Directory to download data and extract the tarball') def main(_): """Download and extract the tarball from Alex's website.""" if not os.path.exists(FLAGS.data_dir): os.makedirs(FLAGS.data_dir) filename = DATA_URL.split('/')[-1] filepath = os.path.join(FLAGS.data_dir, filename) if not os.path.exists(filepath): def _progress(count, block_size, total_size): sys.stdout.write('\r>> Downloading %s %.1f%%' % ( filename, 100.0 * count * block_size / total_size)) sys.stdout.flush() filepath, _ = urllib.request.urlretrieve(DATA_URL, filepath, _progress) print() statinfo = os.stat(filepath) print('Successfully downloaded', filename, statinfo.st_size, 'bytes.') tarfile.open(filepath, 'r:gz').extractall(FLAGS.data_dir) if __name__ == '__main__': FLAGS, unparsed = parser.parse_known_args() tf.app.run(argv=[sys.argv[0]] + unparsed)