---------------------------------------------------------------------------
UnimplementedError                        Traceback (most recent call last)
<ipython-input-24-f5130b4038c8> in <module>
      1 get_ipython().system('mkdir DistilBERT')
----> 2 model.save("DistilBERT")

/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/engine/network.py in save(self, filepath, overwrite, include_optimizer, save_format, signatures, options)
   1050     """
   1051     save.save_model(self, filepath, overwrite, include_optimizer, save_format,
-> 1052                     signatures, options)
   1053
   1054   def save_weights(self, filepath, overwrite=True, save_format=None):

/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/saving/save.py in save_model(model, filepath, overwrite, include_optimizer, save_format, signatures, options)
    136   else:
    137     saved_model_save.save(model, filepath, overwrite, include_optimizer,
--> 138                           signatures, options)
    139
    140

/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/saving/saved_model/save.py in save(model, filepath, overwrite, include_optimizer, signatures, options)
     76     # we use the default replica context here.
     77     with distribution_strategy_context._get_default_replica_context():  # pylint: disable=protected-access
---> 78       save_lib.save(model, filepath, signatures, options)
     79
     80   if not include_optimizer:

/opt/conda/lib/python3.7/site-packages/tensorflow/python/saved_model/save.py in save(obj, export_dir, signatures, options)
    955   # the SavedModel proto itself.
    956   utils_impl.get_or_create_variables_dir(export_dir)
--> 957   object_saver.save(utils_impl.get_variables_path(export_dir))
    958   builder_impl.copy_assets_to_destination_dir(asset_info.asset_filename_map,
    959                                               export_dir)

/opt/conda/lib/python3.7/site-packages/tensorflow/python/training/tracking/util.py in save(self, file_prefix, checkpoint_number, session)
   1185     file_io.recursive_create_dir(os.path.dirname(file_prefix))
   1186     save_path, new_feed_additions = self._save_cached_when_graph_building(
-> 1187         file_prefix=file_prefix_tensor, object_graph_tensor=object_graph_tensor)
   1188     if new_feed_additions:
   1189       feed_dict.update(new_feed_additions)

/opt/conda/lib/python3.7/site-packages/tensorflow/python/training/tracking/util.py in _save_cached_when_graph_building(self, file_prefix, object_graph_tensor)
   1133         or context.executing_eagerly() or ops.inside_function()):
   1134       saver = functional_saver.MultiDeviceSaver(named_saveable_objects)
-> 1135       save_op = saver.save(file_prefix)
   1136       with ops.device("/cpu:0"):
   1137         with ops.control_dependencies([save_op]):

/opt/conda/lib/python3.7/site-packages/tensorflow/python/training/saving/functional_saver.py in save(self, file_prefix)
    254         # _SingleDeviceSaver will use the CPU device when necessary, but initial
    255         # read operations should be placed on the SaveableObject's device.
--> 256         sharded_saves.append(saver.save(shard_prefix))
    257
    258     with ops.control_dependencies(sharded_saves):

/opt/conda/lib/python3.7/site-packages/tensorflow/python/training/saving/functional_saver.py in save(self, file_prefix)
     68       for spec in saveable.specs:
     69         tensor_names.append(spec.name)
---> 70         tensors.append(spec.tensor)
     71         tensor_slices.append(spec.slice_spec)
     72     with ops.device("cpu:0"):

/opt/conda/lib/python3.7/site-packages/tensorflow/python/training/saving/saveable_object.py in tensor(self)
     53   @property
     54   def tensor(self):
---> 55     return self._tensor() if callable(self._tensor) else self._tensor
     56
     57

/opt/conda/lib/python3.7/site-packages/tensorflow/python/training/saving/saveable_object_util.py in f()
     89         def f():
     90           with ops.device(v.device):
---> 91             x = v.read_value()
     92             # To allow variables placed on non-CPU devices to be checkpointed,
     93             # we copy them to CPU on the same machine first.

/opt/conda/lib/python3.7/site-packages/tensorflow/python/ops/resource_variable_ops.py in read_value(self)
    667     # Return an identity so it can get placed on whatever device the context
    668     # specifies instead of the device where the variable is.
--> 669     return array_ops.identity(value)
    670
    671   def sparse_read(self, indices, name=None):

/opt/conda/lib/python3.7/site-packages/tensorflow/python/util/dispatch.py in wrapper(*args, **kwargs)
    178     """Call target, and fall back on dispatchers if there is a TypeError."""
    179     try:
--> 180       return target(*args, **kwargs)
    181     except (TypeError, ValueError):
    182       # Note: convert_to_eager_tensor currently raises a ValueError, not a

/opt/conda/lib/python3.7/site-packages/tensorflow/python/ops/array_ops.py in identity(input, name)
    280     # variables. Variables have correct handle data when graph building.
    281     input = ops.convert_to_tensor(input)
--> 282   ret = gen_array_ops.identity(input, name=name)
    283   # Propagate handle data for happier shape inference for resource variables.
    284   if hasattr(input, "_handle_data"):

/opt/conda/lib/python3.7/site-packages/tensorflow/python/ops/gen_array_ops.py in identity(input, name)
   3896         pass  # Add nodes to the TensorFlow graph.
   3897     except _core._NotOkStatusException as e:
-> 3898       _ops.raise_from_not_ok_status(e, name)
   3899   # Add nodes to the TensorFlow graph.
   3900   _, _, _op, _outputs = _op_def_library._apply_op_helper(

/opt/conda/lib/python3.7/site-packages/tensorflow/python/framework/ops.py in raise_from_not_ok_status(e, name)
   6651   message = e.message + (" name: " + name if name is not None else "")
   6652   # pylint: disable=protected-access
-> 6653   six.raise_from(core._status_to_exception(e.code, message), None)
   6654   # pylint: enable=protected-access
   6655

/opt/conda/lib/python3.7/site-packages/six.py in raise_from(value, from_value)

UnimplementedError: File system scheme '[local]' not implemented (file: 'DistilBERT/variables/variables_temp_c1e16b00842b4a46b45eb1d4a4e21a4e/part-00000-of-00002')
	Encountered when executing an operation using EagerExecutor. This error cancels all future operations and poisons their output tensors. [Op:Identity]