title: How to load tfrecord in pytorch?
body: <p>How to use tfrecord with pytorch?</p>
  
  <p>I have downloaded "Youtube8M" datasets with video-level features, but it is stored in tfrecord.
  I tried to read some sample from these file to convert it to numpy and then load in pytorch. But it failed.</p>
  
  <pre class="lang-py prettyprint-override"><code>    reader = YT8MAggregatedFeatureReader()
      files = tf.gfile.Glob("/Data/youtube8m/train*.tfrecord")
      filename_queue = tf.train.string_input_producer(
          files, num_epochs=5, shuffle=True)
      training_data = [
          reader.prepare_reader(filename_queue) for _ in range(1)
      ]
  
      unused_video_id, model_input_raw, labels_batch, num_frames = tf.train.shuffle_batch_join(
          training_data,
          batch_size=1024,
          capacity=1024 * 5,
          min_after_dequeue=1024,
          allow_smaller_final_batch=True  ,
          enqueue_many=True)
  
      with tf.Session() as sess:
          label_numpy = labels_batch.eval()
          print(type(label_numpy))
  
  </code></pre>
  
  <p>But this step have no result, just stuck for a long while without any response.</p>