NotImplementedError: Cannot convert a symbolic Tensor (sequential_1/simple_rnn_1/strided_slice:0) to a numpy array.
model.fit NotImplementedError: Cannot convert a symbolic Tensor to a numpy array.
Epoch 1/100
---------------------------------------------------------------------------
NotImplementedError Traceback (most recent call last)
Cell In[4], line 1
----> 1 history = model.fit(x_train, y_train, batch_size=32, epochs=100, callbacks=[cp_callback])
File /home/software/anaconda3/envs/mydlenv/lib/python3.8/site-packages/tensorflow/python/keras/engine/training.py:66, in enable_multi_worker.<locals>._method_wrapper(self, *args, **kwargs)
64 def _method_wrapper(self, *args, **kwargs):
65 if not self._in_multi_worker_mode(): # pylint: disable=protected-access
---> 66 return method(self, *args, **kwargs)
68 # Running inside `run_distribute_coordinator` already.
69 if dc_context.get_current_worker_context():
File /home/software/anaconda3/envs/mydlenv/lib/python3.8/site-packages/tensorflow/python/keras/engine/training.py:848, in Model.fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_batch_size, validation_freq, max_queue_size, workers, use_multiprocessing)
841 with traceme.TraceMe(
842 'TraceContext',
843 graph_type='train',
844 epoch_num=epoch,
845 step_num=step,
846 batch_size=batch_size):
847 callbacks.on_train_batch_begin(step)
--> 848 tmp_logs = train_function(iterator)
849 # Catch OutOfRangeError for Datasets of unknown size.
850 # This blocks until the batch has finished executing.
851 # TODO(b/150292341): Allow multiple async steps here.
852 if not data_handler.inferred_steps:
File /home/software/anaconda3/envs/mydlenv/lib/python3.8/site-packages/tensorflow/python/eager/def_function.py:580, in Function.__call__(self, *args, **kwds)
578 xla_context.Exit()
579 else:
--> 580 result = self._call(*args, **kwds)
582 if tracing_count == self._get_tracing_count():
583 self._call_counter.called_without_tracing()
File /home/software/anaconda3/envs/mydlenv/lib/python3.8/site-packages/tensorflow/python/eager/def_function.py:627, in Function._call(self, *args, **kwds)
624 try:
625 # This is the first call of __call__, so we have to initialize.
626 initializers = []
--> 627 self._initialize(args, kwds, add_initializers_to=initializers)
628 finally:
629 # At this point we know that the initialization is complete (or less
630 # interestingly an exception was raised) so we no longer need a lock.
631 self._lock.release()
File /home/software/anaconda3/envs/mydlenv/lib/python3.8/site-packages/tensorflow/python/eager/def_function.py:505, in Function._initialize(self, args, kwds, add_initializers_to)
502 self._lifted_initializer_graph = lifted_initializer_graph
503 self._graph_deleter = FunctionDeleter(self._lifted_initializer_graph)
504 self._concrete_stateful_fn = (
--> 505 self._stateful_fn._get_concrete_function_internal_garbage_collected( # pylint: disable=protected-access
506 *args, **kwds))
508 def invalid_creator_scope(*unused_args, **unused_kwds):
509 """Disables variable creation."""
File /home/software/anaconda3/envs/mydlenv/lib/python3.8/site-packages/tensorflow/python/eager/function.py:2446, in Function._get_concrete_function_internal_garbage_collected(self, *args, **kwargs)
2444 args, kwargs = None, None
2445 with self._lock:
-> 2446 graph_function, _, _ = self._maybe_define_function(args, kwargs)
2447 return graph_function
File /home/software/anaconda3/envs/mydlenv/lib/python3.8/site-packages/tensorflow/python/eager/function.py:2777, in Function._maybe_define_function(self, args, kwargs)
2774 return