"Dst tensor is not initialized"

Error example since I have corrected my training problem, I then quote similar error from other people's work.

Epoch: 0001 cost= 29.917553501
Epoch: 0002 cost= 21.929896693
Epoch: 0003 cost= 21.063875407
Epoch: 0004 cost= 20.457020144
Epoch: 0005 cost= 20.084428289
Epoch: 0006 cost= 19.814794980
Epoch: 0007 cost= 19.674670629
Epoch: 0008 cost= 19.510438999
Epoch: 0009 cost= 19.309689613
Epoch: 0010 cost= 19.223995275
Epoch: 0011 cost= 19.161345129
Epoch: 0012 cost= 18.985856709
Epoch: 0013 cost= 18.917688493
Epoch: 0014 cost= 18.832972273
Epoch: 0015 cost= 18.742634454
Epoch: 0016 cost= 18.695894625
Epoch: 0017 cost= 18.643278683
Epoch: 0018 cost= 18.609112186
Epoch: 0019 cost= 18.444614899
Epoch: 0020 cost= 18.532375607
Epoch: 0021 cost= 18.437554449
Epoch: 0022 cost= 18.310914770
Epoch: 0023 cost= 18.289282742
Epoch: 0024 cost= 18.214274961
Epoch: 0025 cost= 18.293197173
Optimization Finished!
Accuracy:
---------------------------------------------------------------------------
InternalError                             Traceback (most recent call last)
<ipython-input-17-f661f1e1e9de> in <module>()
     24     # Calculate accuracy
     25     accuracy = tf.reduce_mean(tf.cast(correct_prediction, "float"))
---> 26     print "Accuracy:", accuracy.eval({x: mnist.test.images, y: mnist.test.labels})

/home/burness/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.pyc in eval(self, feed_dict, session)
    500 
    501     """
--> 502     return _eval_using_default_session(self, feed_dict, self.graph, session)
    503 
    504 

/home/burness/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.pyc in _eval_using_default_session(tensors, feed_dict, graph, session)
   3332                        "the tensor's graph is different from the session's "
   3333                        "graph.")
-> 3334   return session.run(tensors, feed_dict)
   3335 
   3336 

/home/burness/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.pyc in run(self, fetches, feed_dict, options, run_metadata)
    338     try:
    339       result = self._run(None, fetches, feed_dict, options_ptr,
--> 340                          run_metadata_ptr)
    341       if run_metadata:
    342         proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)

/home/burness/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.pyc in _run(self, handle, fetches, feed_dict, options, run_metadata)
    562     try:
    563       results = self._do_run(handle, target_list, unique_fetches,
--> 564                              feed_dict_string, options, run_metadata)
    565     finally:
    566       # The movers are no longer used. Delete them.

/home/burness/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.pyc in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
    635     if handle is None:
    636       return self._do_call(_run_fn, self._session, feed_dict, fetch_list,
--> 637                            target_list, options, run_metadata)
    638     else:
    639       return self._do_call(_prun_fn, self._session, handle, feed_dict,

/home/burness/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.pyc in _do_call(self, fn, *args)
    657       # pylint: disable=protected-access
    658       raise errors._make_specific_exception(node_def, op, error_message,
--> 659                                             e.code)
    660       # pylint: enable=protected-access
    661 

InternalError: Dst tensor is not initialized.
     [[Node: _recv_Placeholder_1_0/_27513 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_267__recv_Placeholder_1_0", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
     [[Node: Mean_6/_27517 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_277_Mean_6", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]

• The SOLUTION is quite simple, you just need to restart your ipython notebook in order to release some of the stuck background process or fully used memory space.