```

/Users/", line 1, in 

  File "/Users//venv-metal/lib/python3.8/site-packages/keras/utils/traceback_utils.py", line 70, in error_handler

    raise e.with_traceback(filtered_tb) from None

  File "/Users//venv-metal/lib/python3.8/site-packages/tensorflow/python/eager/execute.py", line 52, in quick_execute

    tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,

tensorflow.python.framework.errors_impl.NotFoundError: Graph execution error:



Detected at node 'StatefulPartitionedCall_212' defined at (most recent call last):

    File "", line 1, in 

    File "/Users//venv-metal/lib/python3.8/site-packages/keras/utils/traceback_utils.py", line 65, in error_handler

      return fn(*args, **kwargs)

    File "/Users//venv-metal/lib/python3.8/site-packages/keras/engine/training.py", line 1650, in fit

      tmp_logs = self.train_function(iterator)

    File "/Users//venv-metal/lib/python3.8/site-packages/keras/engine/training.py", line 1249, in train_function

      return step_function(self, iterator)

    File "/Users//venv-metal/lib/python3.8/site-packages/keras/engine/training.py", line 1233, in step_function

      outputs = model.distribute_strategy.run(run_step, args=(data,))

    File "/Users//venv-metal/lib/python3.8/site-packages/keras/engine/training.py", line 1222, in run_step

      outputs = model.train_step(data)

    File "/Users//venv-metal/lib/python3.8/site-packages/keras/engine/training.py", line 1027, in train_step

      self.optimizer.minimize(loss, self.trainable_variables, tape=tape)

    File "/Users//venv-metal/lib/python3.8/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 527, in minimize

      self.apply_gradients(grads_and_vars)

    File "/Users//venv-metal/lib/python3.8/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 1140, in apply_gradients

      return super().apply_gradients(grads_and_vars, name=name)

    File "/Users//venv-metal/lib/python3.8/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 634, in apply_gradients

      iteration = self._internal_apply_gradients(grads_and_vars)

    File "/Users//venv-metal/lib/python3.8/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 1166, in _internal_apply_gradients

      return tf.__internal__.distribute.interim.maybe_merge_call(

    File "/Users//venv-metal/lib/python3.8/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 1216, in _distributed_apply_gradients_fn

      distribution.extended.update(

    File "/Users//venv-metal/lib/python3.8/site-packages/keras/optimizers/optimizer_experimental/optimizer.py", line 1211, in apply_grad_to_update_var

      return self._update_step_xla(grad, var, id(self._var_key(var)))

Node: 'StatefulPartitionedCall_212'

could not find registered platform with id: 0x131ea6e20

	 [[{{node StatefulPartitionedCall_212}}]] [Op:__inference_train_function_23355]
```