graph_io_test.py 文件源码

python
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项目:lsdc 作者: febert 项目源码 文件源码
def test_keyed_read_text_lines(self):
    gfile.Glob = self._orig_glob
    filename = self._create_temp_file("ABC\nDEF\nGHK\n")

    batch_size = 1
    queue_capacity = 5
    name = "my_batch"

    with tf.Graph().as_default() as g, self.test_session(graph=g) as session:
      keys, inputs = tf.contrib.learn.io.read_keyed_batch_examples(
          filename, batch_size,
          reader=tf.TextLineReader, randomize_input=False,
          num_epochs=1, queue_capacity=queue_capacity, name=name)
      session.run(tf.initialize_local_variables())

      coord = tf.train.Coordinator()
      tf.train.start_queue_runners(session, coord=coord)

      self.assertAllEqual(session.run([keys, inputs]),
                          [[filename.encode("utf-8") + b":1"], [b"ABC"]])
      self.assertAllEqual(session.run([keys, inputs]),
                          [[filename.encode("utf-8") + b":2"], [b"DEF"]])
      self.assertAllEqual(session.run([keys, inputs]),
                          [[filename.encode("utf-8") + b":3"], [b"GHK"]])
      with self.assertRaises(errors.OutOfRangeError):
        session.run(inputs)

      coord.request_stop()
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