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tutorials/image/cifar10_estimator/generate_cifar10_tfrecords.py

@@ -55,7 +55,7 @@ def _get_file_names():
 
 
 def read_pickle_from_file(filename):
-  with open(filename, 'r') as f:
+  with tf.gfile.Open(filename, 'r') as f:
     data_dict = cPickle.load(f)
   return data_dict
 
@@ -63,8 +63,7 @@ def read_pickle_from_file(filename):
 def convert_to_tfrecord(input_files, output_file):
   """Converts a file to tfrecords."""
   print('Generating %s' % output_file)
-  record_writer = tf.python_io.TFRecordWriter(output_file)
-
+  with tf.python_io.TFRecordWriter(output_file) as record_writer:
     for input_file in input_files:
       data_dict = read_pickle_from_file(input_file)
       data = data_dict['data']
@@ -78,7 +77,6 @@ def convert_to_tfrecord(input_files, output_file):
                 'label': _int64_feature(labels[i])
             }))
         record_writer.write(example.SerializeToString())
-  record_writer.close()
 
 
 def main(unused_argv):