AttributeError: 'tuple' object has no attribute 'shape' using tuner.search()

Question

I was trying to solve this problem ValueError: `logits` and `labels` must have the same shape, received ((None, 1) vs (None, 2)). when trying to run this code:

tuner.search(x_train, y_train, batch_size=50,
          validation_data = (x_test, y_test),
          epochs=100, callbacks=[stop_early])

And I found this here on Stack Overflow:

tuner.search(x_train, [y_train[:, 0], y_train[:, 1]], batch_size=50,
          validation_data = (x_test, [y_test[:, 0], y_test[:, 1]] ),
          epochs=100, callbacks=[stop_early])

now, I'm getting this error:

AttributeError                            Traceback (most recent call last)
<ipython-input-28-73685d0b2fe7> in <module>
      1 tuner.search(x_train, [y_train[:, 0], y_train[:, 1]], batch_size=50,
      2           validation_data = (x_test, [y_test[:, 0], y_test[:, 1]] ),
----> 3           epochs=100, callbacks=[stop_early])

6 frames
/usr/local/lib/python3.7/dist-packages/keras_tuner/engine/base_tuner.py in search(self, *fit_args, **fit_kwargs)
    181 
    182             self.on_trial_begin(trial)
--> 183             results = self.run_trial(trial, *fit_args, **fit_kwargs)
    184             # `results` is None indicates user updated oracle in `run_trial()`.
    185             if results is None:

/usr/local/lib/python3.7/dist-packages/keras_tuner/tuners/hyperband.py in run_trial(self, trial, *fit_args, **fit_kwargs)
    382             fit_kwargs["epochs"] = hp.values["tuner/epochs"]
    383             fit_kwargs["initial_epoch"] = hp.values["tuner/initial_epoch"]
--> 384         return super(Hyperband, self).run_trial(trial, *fit_args, **fit_kwargs)
    385 
    386     def _build_model(self, hp):

/usr/local/lib/python3.7/dist-packages/keras_tuner/engine/tuner.py in run_trial(self, trial, *args, **kwargs)
    293             callbacks.append(model_checkpoint)
    294             copied_kwargs["callbacks"] = callbacks
--> 295             obj_value = self._build_and_fit_model(trial, *args, **copied_kwargs)
    296 
    297             histories.append(obj_value)

/usr/local/lib/python3.7/dist-packages/keras_tuner/engine/tuner.py in _build_and_fit_model(self, trial, *args, **kwargs)
    220         hp = trial.hyperparameters
    221         model = self._try_build(hp)
--> 222         results = self.hypermodel.fit(hp, model, *args, **kwargs)
    223         tuner_utils.validate_trial_results(
    224             results, self.oracle.objective, "HyperModel.fit()"

/usr/local/lib/python3.7/dist-packages/keras_tuner/engine/hypermodel.py in fit(self, hp, model, *args, **kwargs)
    138             If return a float, it should be the `objective` value.
    139         """
--> 140         return model.fit(*args, **kwargs)
    141 
    142 

/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py in error_handler(*args, **kwargs)
     65     except Exception as e:  # pylint: disable=broad-except
     66       filtered_tb = _process_traceback_frames(e.__traceback__)
---> 67       raise e.with_traceback(filtered_tb) from None
     68     finally:
     69       del filtered_tb

/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/func_graph.py in autograph_handler(*args, **kwargs)
   1127           except Exception as e:  # pylint:disable=broad-except
   1128             if hasattr(e, "ag_error_metadata"):
-> 1129               raise e.ag_error_metadata.to_exception(e)
   1130             else:
   1131               raise

AttributeError: 'tuple' object has no attribute 'shape'

It seems like epochs = 100 and callbacks=[stop_early] are the problem, but before adding the modifications to solve the first problem it wasn't happening. How could i solve this?