Shape mismatch error in eval

[erickrf]

I just downloaded the corpora and the trained model, and then ran the eval.py script. I'm getting the following error:

$ python eval.py 
Graph loaded
2017-07-31 22:29:04.547163: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2017-07-31 22:29:04.547205: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2017-07-31 22:29:04.547210: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2017-07-31 22:29:04.547215: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
WARNING:tensorflow:Standard services need a 'logdir' passed to the SessionManager
Traceback (most recent call last):
  File "eval.py", line 81, in <module>
    eval()
  File "eval.py", line 38, in eval
    sv.saver.restore(sess, tf.train.latest_checkpoint(hp.logdir))
  File "/Users/erick/anaconda2/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1548, in restore
    {self.saver_def.filename_tensor_name: save_path})
  File "/Users/erick/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 789, in run
    run_metadata_ptr)
  File "/Users/erick/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 997, in _run
    feed_dict_string, options, run_metadata)
  File "/Users/erick/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1132, in _do_run
    target_list, options, run_metadata)
  File "/Users/erick/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1152, in _do_call
    raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [9786,512] rhs shape= [9796,512]
	 [[Node: save/Assign_136 = Assign[T=DT_FLOAT, _class=["loc:@encoder/enc_embed/lookup_table"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/cpu:0"](encoder/enc_embed/lookup_table, save/RestoreV2_136)]]

Caused by op u'save/Assign_136', defined at:
  File "eval.py", line 81, in <module>
    eval()
  File "eval.py", line 35, in eval
    sv = tf.train.Supervisor()
  File "/Users/erick/anaconda2/lib/python2.7/site-packages/tensorflow/python/training/supervisor.py", line 300, in __init__
    self._init_saver(saver=saver)
  File "/Users/erick/anaconda2/lib/python2.7/site-packages/tensorflow/python/training/supervisor.py", line 448, in _init_saver
    saver = saver_mod.Saver()
  File "/Users/erick/anaconda2/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1139, in __init__
    self.build()
  File "/Users/erick/anaconda2/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1170, in build
    restore_sequentially=self._restore_sequentially)
  File "/Users/erick/anaconda2/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 691, in build
    restore_sequentially, reshape)
  File "/Users/erick/anaconda2/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 419, in _AddRestoreOps
    assign_ops.append(saveable.restore(tensors, shapes))
  File "/Users/erick/anaconda2/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 155, in restore
    self.op.get_shape().is_fully_defined())
  File "/Users/erick/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/state_ops.py", line 271, in assign
    validate_shape=validate_shape)
  File "/Users/erick/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/gen_state_ops.py", line 45, in assign
    use_locking=use_locking, name=name)
  File "/Users/erick/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 767, in apply_op
    op_def=op_def)
  File "/Users/erick/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2506, in create_op
    original_op=self._default_original_op, op_def=op_def)
  File "/Users/erick/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1269, in __init__
    self._traceback = _extract_stack()

InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lhs shape= [9786,512] rhs shape= [9796,512]
	 [[Node: save/Assign_136 = Assign[T=DT_FLOAT, _class=["loc:@encoder/enc_embed/lookup_table"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/cpu:0"](encoder/enc_embed/lookup_table, save/RestoreV2_136)]]

Any idea what might be wrong?

[dixiematt8]

Remove all checkpoint files, index files, and model files that you pass it in your supervisor and retrain from scratch. That is your problem.