---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-5-f17e176e67ed> in <module>
    103     epoch_list = get_file_list(main_path + 'models/')
    104     epoch_last = epoch_list[-1]
--> 105     model.load_weights(main_path + 'models/' + epoch_last)
    106     print("**********checkpoint_loaded: ", epoch_last)
    107     initial_epoch_ = int(epoch_last.split('-')[2]) - 1

c:\program files (x86)\microsoft visual studio\shared\python37_64\lib\site-packages\tensorflow\python\keras\engine\training.py in load_weights(self, filepath, by_name, skip_mismatch)
    248         raise ValueError('Load weights is not yet supported with TPUStrategy '
    249                          'with steps_per_run greater than 1.')
--> 250     return super(Model, self).load_weights(filepath, by_name, skip_mismatch)
    251 
    252   def compile(self,

c:\program files (x86)\microsoft visual studio\shared\python37_64\lib\site-packages\tensorflow\python\keras\engine\network.py in load_weights(self, filepath, by_name, skip_mismatch)
   1264             f, self.layers, skip_mismatch=skip_mismatch)
   1265       else:
-> 1266         hdf5_format.load_weights_from_hdf5_group(f, self.layers)
   1267 
   1268   def _updated_config(self):

c:\program files (x86)\microsoft visual studio\shared\python37_64\lib\site-packages\tensorflow\python\keras\saving\hdf5_format.py in load_weights_from_hdf5_group(f, layers)
    705                        str(len(weight_values)) + ' elements.')
    706     weight_value_tuples += zip(symbolic_weights, weight_values)
--> 707   K.batch_set_value(weight_value_tuples)
    708 
    709 

c:\program files (x86)\microsoft visual studio\shared\python37_64\lib\site-packages\tensorflow\python\keras\backend.py in batch_set_value(tuples)
   3382   if ops.executing_eagerly_outside_functions():
   3383     for x, value in tuples:
-> 3384       x.assign(np.asarray(value, dtype=dtype(x)))
   3385   else:
   3386     with get_graph().as_default():

c:\program files (x86)\microsoft visual studio\shared\python37_64\lib\site-packages\tensorflow\python\ops\resource_variable_ops.py in assign(self, value, use_locking, name, read_value)
    844     with _handle_graph(self.handle):
    845       value_tensor = ops.convert_to_tensor(value, dtype=self.dtype)
--> 846       self._shape.assert_is_compatible_with(value_tensor.shape)
    847       assign_op = gen_resource_variable_ops.assign_variable_op(
    848           self.handle, value_tensor, name=name)

c:\program files (x86)\microsoft visual studio\shared\python37_64\lib\site-packages\tensorflow\python\framework\tensor_shape.py in assert_is_compatible_with(self, other)
   1115     """
   1116     if not self.is_compatible_with(other):
-> 1117       raise ValueError("Shapes %s and %s are incompatible" % (self, other))
   1118 
   1119   def most_specific_compatible_shape(self, other):

ValueError: Shapes (43360, 100) and (43350, 100) are incompatible