Bug: FatalTypeError: Expected the model-building function, or HyperModel.build() to return a valid Keras Model instance
diramazioni opened this issue · 0 comments
diramazioni commented
Bug Description
I'm just following the tutorial for image regression
I've installed tf_keras and then export the environment variable TF_USE_LEGACY_KERAS=1 as suggested #1906
Bug Reproduction
Code for reproducing the bug:
reg.fit(x_train, y_train, epochs=epochs)
---------------------------------------------------------------------------
FatalTypeError Traceback (most recent call last)
Cell In[7], [line 4](vscode-notebook-cell:?execution_count=7&line=4)
[2](vscode-notebook-cell:?execution_count=7&line=2) reg = ak.ImageRegressor(overwrite=True, max_trials=max_trials)
[3](vscode-notebook-cell:?execution_count=7&line=3) # Feed the image regressor with training data.
----> [4](vscode-notebook-cell:?execution_count=7&line=4) reg.fit(x_train, y_train, epochs=epochs)
[7](vscode-notebook-cell:?execution_count=7&line=7) # Predict with the best model.
[8](vscode-notebook-cell:?execution_count=7&line=8) predicted_y = reg.predict(x_test)
File [~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/tasks/image.py:298](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/tasks/image.py:298), in ImageRegressor.fit(self, x, y, epochs, callbacks, validation_split, validation_data, **kwargs)
[240](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/tasks/image.py:240) def fit(
[241](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/tasks/image.py:241) self,
[242](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/tasks/image.py:242) x: Optional[types.DatasetType] = None,
(...)
[250](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/tasks/image.py:250) **kwargs
[251](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/tasks/image.py:251) ):
[252](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/tasks/image.py:252) """Search for the best model and hyperparameters for the AutoModel.
[253](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/tasks/image.py:253)
[254](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/tasks/image.py:254) It will search for the best model based on the performances on
(...)
[296](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/tasks/image.py:296) validation loss values and validation metrics values (if applicable).
[297](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/tasks/image.py:297) """
--> [298](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/tasks/image.py:298) history = super().fit(
[299](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/tasks/image.py:299) x=x,
[300](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/tasks/image.py:300) y=y,
[301](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/tasks/image.py:301) epochs=epochs,
[302](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/tasks/image.py:302) callbacks=callbacks,
[303](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/tasks/image.py:303) validation_split=validation_split,
[304](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/tasks/image.py:304) validation_data=validation_data,
[305](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/tasks/image.py:305) **kwargs
[306](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/tasks/image.py:306) )
[307](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/tasks/image.py:307) return history
File [~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/auto_model.py:292](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/auto_model.py:292), in AutoModel.fit(self, x, y, batch_size, epochs, callbacks, validation_split, validation_data, verbose, **kwargs)
[287](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/auto_model.py:287) if validation_data is None and validation_split:
[288](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/auto_model.py:288) dataset, validation_data = data_utils.split_dataset(
[289](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/auto_model.py:289) dataset, validation_split
[290](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/auto_model.py:290) )
--> [292](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/auto_model.py:292) history = self.tuner.search(
[293](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/auto_model.py:293) x=dataset,
[294](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/auto_model.py:294) epochs=epochs,
[295](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/auto_model.py:295) callbacks=callbacks,
[296](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/auto_model.py:296) validation_data=validation_data,
[297](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/auto_model.py:297) validation_split=validation_split,
[298](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/auto_model.py:298) verbose=verbose,
[299](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/auto_model.py:299) **kwargs
[300](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/auto_model.py:300) )
[302](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/auto_model.py:302) return history
File [~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/engine/tuner.py:191](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/engine/tuner.py:191), in AutoTuner.search(self, epochs, callbacks, validation_split, verbose, **fit_kwargs)
[189](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/engine/tuner.py:189) hp = self.oracle.get_space()
[190](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/engine/tuner.py:190) self._prepare_model_build(hp, **fit_kwargs)
--> [191](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/engine/tuner.py:191) self._try_build(hp)
[192](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/engine/tuner.py:192) self.oracle.update_space(hp)
[193](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/engine/tuner.py:193) super().search(
[194](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/engine/tuner.py:194) epochs=epochs, callbacks=new_callbacks, verbose=verbose, **fit_kwargs
[195](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/autokeras/engine/tuner.py:195) )
File [~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/keras_tuner/src/engine/tuner.py:167](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/keras_tuner/src/engine/tuner.py:167), in Tuner._try_build(self, hp)
[165](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/keras_tuner/src/engine/tuner.py:165) # Stop if `build()` does not return a valid model.
[166](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/keras_tuner/src/engine/tuner.py:166) if not isinstance(model, keras.models.Model):
--> [167](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/keras_tuner/src/engine/tuner.py:167) raise errors.FatalTypeError(
[168](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/keras_tuner/src/engine/tuner.py:168) "Expected the model-building function, or HyperModel.build() "
[169](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/keras_tuner/src/engine/tuner.py:169) "to return a valid Keras Model instance. "
[170](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/keras_tuner/src/engine/tuner.py:170) f"Received: {model} of type {type(model)}."
[171](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/keras_tuner/src/engine/tuner.py:171) )
[172](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/keras_tuner/src/engine/tuner.py:172) # Check model size.
[173](https://file+.vscode-resource.vscode-cdn.net/home/es/data/prj/vitali/sprint/tf/regression/~/.pyenv/versions/3.11.4/lib/python3.11/site-packages/keras_tuner/src/engine/tuner.py:173) size = maybe_compute_model_size(model)
FatalTypeError: Expected the model-building function, or HyperModel.build() to return a valid Keras Model instance. Received: <tf_keras.src.engine.functional.Functional object at 0x7fa164504810> of type <class 'tf_keras.src.engine.functional.Functional'>.```
### Setup Details
Include the details about the versions of:
- OS type and version: linux mint 21.2
- Python: 3.11.4
- autokeras: 1.1.0
- keras-tuner: 1.4.7
- scikit-learn: 1.4.1.post1
- numpy: 1.26.4
- pandas: 2.2.1
- tensorflow==2.16.1
- tensorflow-io-gcs-filesystem==0.36.0
- tensorflow-text==2.16.1