`DataLossError: corrupted record` during training

[hyangyt]

Hello, during training the following error occurs:

tensorflow.python.framework.errors_impl.DataLossError: corrupted record at 0
[[{{node read_batch_features/read/ReaderReadUpToV2}} = ReaderReadUpToV2[_device="/job:localhost/replica:0/task:0/device:CPU:0"](read_batch_features/read/TFRecordReaderV2, read_batch_features/file_name_queue, read_batch_features/read/ReaderReadUpToV2/num_records)]]

My environment is:
Python 3.6,
tensorflow 1.12.0,
macOS 10.13

Here is detailed information:

python3 classifier.py
--train_records=data/train-label-text.txt
--eval_records=data/train-label-text.txt
--label_file=data/train-label-text.txt.labels
--vocab_file=data/train-label-text.txt.vocab
--model_dir=model
--export_dir=model
FastTrain 1000
WARNING:tensorflow:From classifier.py:153: RunConfig.init (from tensorflow.contrib.learn.python.learn.estimators.run_config) is deprecated and will be removed in a future version.
Instructions for updating:
When switching to tf.estimator.Estimator, use tf.estimator.RunConfig instead.
TESTdata/train-label-text.txt
STARTING TRAIN
ParseSpec {'text': VarLenFeature(dtype=tf.string), 'label': FixedLenFeature(shape=(), dtype=tf.string, default_value=None)}
Input file: data/train-label-text.txt
WARNING:tensorflow:From /Users/hans/repos/simple-tests/classify/workspace/inputs.py:54: read_batch_features (from tensorflow.contrib.learn.python.learn.learn_io.graph_io) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.data.
WARNING:tensorflow:From /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/learn_io/graph_io.py:833: read_keyed_batch_features (from tensorflow.contrib.learn.python.learn.learn_io.graph_io) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.data.
WARNING:tensorflow:From /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/learn_io/graph_io.py:542: read_keyed_batch_examples (from tensorflow.contrib.learn.python.learn.learn_io.graph_io) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.data.
WARNING:tensorflow:From /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/learn_io/graph_io.py:423: string_input_producer (from tensorflow.python.training.input) is deprecated and will be removed in a future version.
Instructions for updating:
Queue-based input pipelines have been replaced by tf.data. Use tf.data.Dataset.from_tensor_slices(string_tensor).shuffle(tf.shape(input_tensor, out_type=tf.int64)[0]).repeat(num_epochs). If shuffle=False, omit the .shuffle(...).
WARNING:tensorflow:From /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/training/input.py:276: input_producer (from tensorflow.python.training.input) is deprecated and will be removed in a future version.
Instructions for updating:
Queue-based input pipelines have been replaced by tf.data. Use tf.data.Dataset.from_tensor_slices(input_tensor).shuffle(tf.shape(input_tensor, out_type=tf.int64)[0]).repeat(num_epochs). If shuffle=False, omit the .shuffle(...).
WARNING:tensorflow:From /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/training/input.py:188: limit_epochs (from tensorflow.python.training.input) is deprecated and will be removed in a future version.
Instructions for updating:
Queue-based input pipelines have been replaced by tf.data. Use tf.data.Dataset.from_tensors(tensor).repeat(num_epochs).
WARNING:tensorflow:From /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/training/input.py:197: QueueRunner.init (from tensorflow.python.training.queue_runner_impl) is deprecated and will be removed in a future version.
Instructions for updating:
To construct input pipelines, use the tf.data module.
WARNING:tensorflow:From /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/training/input.py:197: add_queue_runner (from tensorflow.python.training.queue_runner_impl) is deprecated and will be removed in a future version.
Instructions for updating:
To construct input pipelines, use the tf.data module.
WARNING:tensorflow:From /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/learn_io/graph_io.py:317: TFRecordReader.init (from tensorflow.python.ops.io_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Queue-based input pipelines have been replaced by tf.data. Use tf.data.TFRecordDataset.
WARNING:tensorflow:From /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/learn_io/graph_io.py:449: shuffle_batch_join (from tensorflow.python.training.input) is deprecated and will be removed in a future version.
Instructions for updating:
Queue-based input pipelines have been replaced by tf.data. Use tf.data.Dataset.interleave(...).shuffle(min_after_dequeue).batch(batch_size).
WARNING:tensorflow:From /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/learn_io/graph_io.py:550: queue_parsed_features (from tensorflow.contrib.learn.python.learn.learn_io.graph_io) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.data.
WARNING:tensorflow:From /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/ops/sparse_ops.py:1165: sparse_to_dense (from tensorflow.python.ops.sparse_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Create a tf.sparse.SparseTensor and use tf.sparse.to_dense instead.
WARNING:tensorflow:From /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/training/monitored_session.py:804: start_queue_runners (from tensorflow.python.training.queue_runner_impl) is deprecated and will be removed in a future version.
Instructions for updating:
To construct input pipelines, use the tf.data module.
Traceback (most recent call last):
File "classifier.py", line 199, in
tf.app.run()
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 125, in run
_sys.exit(main(argv))
File "classifier.py", line 193, in main
FastTrain()
File "classifier.py", line 167, in FastTrain
estimator.train(input_fn=train_input, steps=FLAGS.train_steps, hooks=hooks)
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 354, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 1207, in _train_model
return self._train_model_default(input_fn, hooks, saving_listeners)
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 1241, in _train_model_default
saving_listeners)
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 1471, in _train_with_estimator_spec
_, loss = mon_sess.run([estimator_spec.train_op, estimator_spec.loss])
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/training/monitored_session.py", line 783, in exit
self._close_internal(exception_type)
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/training/monitored_session.py", line 821, in _close_internal
self._sess.close()
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/training/monitored_session.py", line 1069, in close
self._sess.close()
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/training/monitored_session.py", line 1229, in close
ignore_live_threads=True)
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/training/coordinator.py", line 389, in join
six.reraise(*self._exc_info_to_raise)
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/six.py", line 692, in reraise
raise value.with_traceback(tb)
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/training/queue_runner_impl.py", line 257, in _run
enqueue_callable()
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1257, in _single_operation_run
self._call_tf_sessionrun(None, {}, [], target_list, None)
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1407, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.DataLossError: corrupted record at 0
[[{{node read_batch_features/read/ReaderReadUpToV2}} = ReaderReadUpToV2[_device="/job:localhost/replica:0/task:0/device:CPU:0"](read_batch_features/read/TFRecordReaderV2, read_batch_features/file_name_queue, read_batch_features/read/ReaderReadUpToV2/num_records)]]