Tensorflow error

error.py

Traceback (most recent call last):
  File "C:\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1021, in _do_call
    return fn(*args)
  File "C:\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1003, in _run_fn
    status, run_metadata)
  File "C:\Python35\lib\contextlib.py", line 66, in __exit__
    next(self.gen)
  File "C:\Python35\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 469, in raise_exception_on_not_ok_status
    pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [21758,1500] rhs shape= [14531,1500]
         [[Node: save/Assign = Assign[T=DT_FLOAT, _class=["loc:@Variable"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/cpu:0"](Variable, save/RestoreV2)]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "train.py", line 120, in <module>
    print(use_neural_network(input('>>> ')))
  File "train.py", line 99, in use_neural_network
    saver.restore(sess,"./model.ckpt")
  File "C:\Python35\lib\site-packages\tensorflow\python\training\saver.py", line 1388, in restore
    {self.saver_def.filename_tensor_name: save_path})
  File "C:\Python35\lib\site-packages\tensorflow\python\client\session.py", line 766, in run
    run_metadata_ptr)
  File "C:\Python35\lib\site-packages\tensorflow\python\client\session.py", line 964, in _run
    feed_dict_string, options, run_metadata)
  File "C:\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1014, in _do_run
    target_list, options, run_metadata)
  File "C:\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1034, 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= [21758,1500] rhs shape= [14531,1500]
         [[Node: save/Assign = Assign[T=DT_FLOAT, _class=["loc:@Variable"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/cpu:0"](Variable, save/RestoreV2)]]

Caused by op 'save/Assign', defined at:
  File "train.py", line 120, in <module>
    print(use_neural_network(input('>>> ')))
  File "train.py", line 98, in use_neural_network
    saver = tf.train.Saver()
  File "C:\Python35\lib\site-packages\tensorflow\python\training\saver.py", line 1000, in __init__
    self.build()
  File "C:\Python35\lib\site-packages\tensorflow\python\training\saver.py", line 1030, in build
    restore_sequentially=self._restore_sequentially)
  File "C:\Python35\lib\site-packages\tensorflow\python\training\saver.py", line 624, in build
    restore_sequentially, reshape)
  File "C:\Python35\lib\site-packages\tensorflow\python\training\saver.py", line 373, in _AddRestoreOps
    assign_ops.append(saveable.restore(tensors, shapes))
  File "C:\Python35\lib\site-packages\tensorflow\python\training\saver.py", line 130, in restore
    self.op.get_shape().is_fully_defined())
  File "C:\Python35\lib\site-packages\tensorflow\python\ops\gen_state_ops.py", line 47, in assign
    use_locking=use_locking, name=name)
  File "C:\Python35\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 759, in apply_op
    op_def=op_def)
  File "C:\Python35\lib\site-packages\tensorflow\python\framework\ops.py", line 2240, in create_op
    original_op=self._default_original_op, op_def=op_def)
  File "C:\Python35\lib\site-packages\tensorflow\python\framework\ops.py", line 1128, in __init__
    self._traceback = _extract_stack()

InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lhs shape= [21758,1500] rhs shape= [14531,1500]
         [[Node: save/Assign = Assign[T=DT_FLOAT, _class=["loc:@Variable"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/cpu:0"](Variable, save/RestoreV2)]]