(dataset_dir)
Downloads MNIST locally.

  Args:
    dataset_dir: The directory where the temporary files are stored.
Downloads MNIST locally.
Downloads MNIST locally .
def _download_dataset(dataset_dir):
  """Downloads MNIST locally.

  Args:
    dataset_dir: The directory where the temporary files are stored.
  """
  for filename in [_TRAIN_DATA_FILENAME,
                   _TRAIN_LABELS_FILENAME,
                   _TEST_DATA_FILENAME,
                   _TEST_LABELS_FILENAME]:
    filepath = os.path.join(dataset_dir, filename)

    if not os.path.exists(filepath):
      print('Downloading file %s...' % filename)
      def _progress(count, block_size, total_size):
        sys.stdout.write('\r>> Downloading %.1f%%' % (
            float(count * block_size) / float(total_size) * 100.0))
        sys.stdout.flush()
      filepath, _ = urllib.request.urlretrieve(_DATA_URL + filename,
                                               filepath,
                                               _progress)
      print()
      with tf.gfile.GFile(filepath) as f:
        size = f.size()
      print('Successfully downloaded', filename, size, 'bytes.')
def _download_dataset ( dataset_dir ) : for filename in [ _TRAIN_DATA_FILENAME , _TRAIN_LABELS_FILENAME , _TEST_DATA_FILENAME , _TEST_LABELS_FILENAME ] : filepath = os . path . join ( dataset_dir , filename ) if not os . path . exists ( filepath ) : print ( 'Downloading file %s...' % filename ) def _progress ( count , block_size , total_size ) : sys . stdout . write ( '\r>> Downloading %.1f%%' % ( float ( count * block_size ) / float ( total_size ) * 100.0 ) ) sys . stdout . flush ( ) filepath , _ = urllib . request . urlretrieve ( _DATA_URL + filename , filepath , _progress ) print ( ) with tf . gfile . GFile ( filepath ) as f : size = f . size ( ) print ( 'Successfully downloaded' , filename , size , 'bytes.' )