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whei tried udc_train.py i got below error:tensorflow.python.framework.errors_impl.OutOfRangeError: FIFOQueue '_3_read_batch_features_train/fifo_queue' is closed and has insufficient elements (requested 1, current size 0) #58

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bandarikanth opened this issue Aug 8, 2017 · 0 comments

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@bandarikanth
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[[Node: read_batch_features_train/read/ReaderReadUpToV2 = ReaderReadUpToV2[_device="/job:localhost/replica:0/task:0/cpu:0"](read_batch_features_train/read/TFRecordReaderV2, read_batch_features_train/file_name_queue, read_batch_features_train/read/ReaderReadUpToV2/num_records)]]

INFO:tensorflow:Saving checkpoints for 0 into /home/mcis-lap-49/work/PycharmProject/cahtbot/chatbot-retrieval-master/runs/1502166031/model.ckpt.
Traceback (most recent call last):
File "/home/mcis-lap-49/work/anaconda3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1139, in _do_call
return fn(*args)
File "/home/mcis-lap-49/work/anaconda3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1121, in _run_fn
status, run_metadata)
File "/home/mcis-lap-49/work/anaconda3/lib/python3.6/contextlib.py", line 89, in exit
next(self.gen)
File "/home/mcis-lap-49/work/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py", line 466, in raise_exception_on_not_ok_status
pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.OutOfRangeError: FIFOQueue '_3_read_batch_features_train/fifo_queue' is closed and has insufficient elements (requested 1, current size 0)
[[Node: read_batch_features_train/fifo_queue_Dequeue = QueueDequeueV2component_types=[DT_INT64, DT_INT64, DT_INT64, DT_INT64, DT_INT64, DT_STRING], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/cpu:0"]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/home/mcis-lap-49/work/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 1007, in _train_model
_, loss = mon_sess.run([model_fn_ops.train_op, model_fn_ops.loss])
File "/home/mcis-lap-49

help me in this

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