_build_wrapper() got an unexpected keyword argument 'inputs'

Bug Description

I`m trying to run example with mnist but got error.

Code

import autokeras as ak from tensorflow.python.keras.datasets import mnist import numpy as np (x_train, y_train), (x_test, y_test) = mnist.load_data() data_slice = 50 x_train = x_train[:data_slice] y_train = y_train[:data_slice] x_test = x_test[:data_slice] y_test = y_test[:data_slice] x_train = x_train.astype(np.float64) x_test = x_test.astype(np.float64) if len(np.shape(x_train)) == 3: x_train = x_train.reshape(x_train.shape + (1,)) x_test = x_test.reshape(x_test.shape + (1,)) clf = ak.ImageClassifier(max_trials=3) clf.fit(x_train, y_train, validation_data=(x_test, y_test)) y = clf.predict(x_test, y_test)

Error

Traceback (most recent call last): File “/home/scrambler/pycharm/autokeras_1/test_1.py”, line 20, in <module> clf.fit(x_train, y_train, validation_data=(x_test, y_test)) File “/home/scrambler/pycharm/autokeras_1/venv/lib/python3.6/site-packages/autokeras/auto_model.py”, line 123, in fit preprocess_graph, keras_graph = self.hyper_graph.build_graphs(hp) File “/home/scrambler/pycharm/autokeras_1/venv/lib/python3.6/site-packages/autokeras/hypermodel/graph.py”, line 434, in build_graphs plain_graph = self.hyper_build(hp) File “/home/scrambler/pycharm/autokeras_1/venv/lib/python3.6/site-packages/autokeras/hypermodel/graph.py”, line 454, in hyper_build outputs = old_block.build(hp, inputs=inputs) TypeError: _build_wrapper() got an unexpected keyword argument ‘inputs’

Setup Details

I have old computer with no AVX, so i used compiled tensorflow whl from here: https://github.com/yaroslavvb/tensorflow-community-wheels/issues/113

here is my venv: Keras 2.3.1 Keras-Applications 1.0.8 Keras-Preprocessing 1.1.0 Markdown 3.1.1 PyYAML 5.1.2 Werkzeug 0.16.0 absl-py 0.8.1 astor 0.8.0 autokeras 1.0.0a0 cachetools 3.1.1 certifi 2019.9.11 chardet 3.0.4 colorama 0.4.1 gast 0.2.2 google-auth 1.7.0 google-auth-oauthlib 0.4.1 google-pasta 0.1.8 grpcio 1.25.0 h5py 2.10.0 idna 2.8 joblib 0.14.0 keras-tuner 1.0.0 lightgbm 2.3.0 mock 3.0.5 numpy 1.17.3 oauthlib 3.1.0 opt-einsum 3.1.0 pandas 0.25.3 pip 19.0.3 protobuf 3.10.0 psutil 5.6.5 pyasn1 0.4.7 pyasn1-modules 0.2.7 python-dateutil 2.8.1 pytz 2019.3 requests 2.22.0 requests-oauthlib 1.3.0 rsa 4.0 scikit-learn 0.21.3 scipy 1.3.1 setuptools 41.6.0 six 1.13.0 tabulate 0.8.5 tb-nightly 1.14.0a20190603 tensorflow 2.0.0b1 termcolor 1.1.0 terminaltables 3.1.0 tf-estimator-nightly 1.14.0.dev2019060501 tqdm 4.37.0 urllib3 1.25.6 wheel 0.33.6 wrapt 1.11.2

[TreeKat71]

Hi guys, I encountered this situation as well and I found autokeras use keras-tuner as part of it. In the master branch, keras-tuner just fixed it. SO you can fixed by install it from master. pip install git+git://github.com/keras-team/keras-tuner@master#egg=kerastuner It just a workaround if you want to run the example, it may encounter other unknown bugs so don’t use in production.

[haifeng-jin]

It should be solved in the latest released version of AutoKeras.